Creative Commons - User contributions [en]

Case Studies/A mathematical way to think about biology

2013-03-28T16:02:27Z

David Liao: /* Motivations */

{{Case Study
|Description=Video tutorials to help researchers, clinicians, and patient advocates learn about mathematical thinking at the interface between the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology [https://twitter.com/NCIPhySci/status/304250851193655296]
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=Screenshot of lookatphysics.com (David Liao)
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists and biologists together to look at cancer in new ways [http://physics.cancer.gov]. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease" [http://iopscience.iop.org/1478-3975/8/1/010302].

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school [http://q-bio.org]. However, mathematical prerequisites for these courses remain a difficulty for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. The website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology [http://qbio.lookatphysics.com]. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

The videos are produced by David Liao, a physicist (PhD, Princeton) in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives require journal articles to be accessible free of charge after an embargo period. These mandates achieve "technical" openness. Achieving a more practical openness, however, requires more than uploading a record of research reports to a public repository of overwhelming walls of text and figures. The know-how to peruse scientific literature with ease must also be broadly distributed. It is preferable to release ''both'' software ''and'' underlying system libraries under GPL. Speaking loosely along the same lines of sentiment, it is likewise preferable to release, as free cultural works, ''both'' scientific literature ''and'' the instructional materials by virtue of which that literature becomes readable. Releasing the video tutorials under a CC BY-SA license communicates that the mathematical know-how described in these videos is a public good.

== Impact of the Creative Commons ==

One of the videos in the series derives significantly from a research journal article. The author wanted to ask the journal under what licenses he could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of free culture principles has greatly increased. This made it easy to refer to different licenses according to their abbreviated CC names during discussion with the journal (the journal granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-28T16:00:44Z

David Liao: /* Overview */

{{Case Study
|Description=Video tutorials to help researchers, clinicians, and patient advocates learn about mathematical thinking at the interface between the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology [https://twitter.com/NCIPhySci/status/304250851193655296]
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=Screenshot of lookatphysics.com (David Liao)
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists and biologists together to look at cancer in new ways [http://physics.cancer.gov]. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease" [http://iopscience.iop.org/1478-3975/8/1/010302].

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school [http://q-bio.org]. However, mathematical prerequisites for these courses remain a difficulty for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. The website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology [http://qbio.lookatphysics.com]. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

The videos are produced by David Liao, a physicist (PhD, Princeton) in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives require journal articles to be accessible free of charge after an embargo period. These mandates achieve "technical" openness. Achieving a more practical openness, however, requires more than uploading a record of text and images to a public repository. The know-how to peruse scientific literature with ease must also be broadly distributed. It is preferable to release ''both'' software ''and'' underlying system libraries under GPL. Speaking loosely along the same lines of sentiment, it is likewise preferable to release, as free cultural works, ''both'' scientific literature ''and'' the instructional materials by virtue of which that literature becomes readable. Releasing the video tutorials under a CC BY-SA license communicates that the mathematical know-how described in these videos is a public good.

== Impact of the Creative Commons ==

One of the videos in the series derives significantly from a research journal article. The author wanted to ask the journal under what licenses he could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of free culture principles has greatly increased. This made it easy to refer to different licenses according to their abbreviated CC names during discussion with the journal (the journal granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-28T15:59:29Z

David Liao: /* Overview */

{{Case Study
|Description=Video tutorials to help researchers, clinicians, and patient advocates learn about mathematical thinking at the interface between the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology [https://twitter.com/NCIPhySci/status/304250851193655296]
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=Screenshot of lookatphysics.com (David Liao)
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists and biologists together to look at cancer in new ways [http://physics.cancer.gov]. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease" [http://iopscience.iop.org/1478-3975/8/1/010302].

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school [http://q-bio.org]. However, mathematical prerequisites for these courses remain a difficulty for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. The website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology [http://qbio.lookatphysics.com]. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist (PhD, Princeton) in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives require journal articles to be accessible free of charge after an embargo period. These mandates achieve "technical" openness. Achieving a more practical openness, however, requires more than uploading a record of text and images to a public repository. The know-how to peruse scientific literature with ease must also be broadly distributed. It is preferable to release ''both'' software ''and'' underlying system libraries under GPL. Speaking loosely along the same lines of sentiment, it is likewise preferable to release, as free cultural works, ''both'' scientific literature ''and'' the instructional materials by virtue of which that literature becomes readable. Releasing the video tutorials under a CC BY-SA license communicates that the mathematical know-how described in these videos is a public good.

== Impact of the Creative Commons ==

One of the videos in the series derives significantly from a research journal article. The author wanted to ask the journal under what licenses he could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of free culture principles has greatly increased. This made it easy to refer to different licenses according to their abbreviated CC names during discussion with the journal (the journal granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-28T15:57:06Z

David Liao: /* Motivations */

{{Case Study
|Description=Video tutorials to help researchers, clinicians, and patient advocates learn about mathematical thinking at the interface between the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology [https://twitter.com/NCIPhySci/status/304250851193655296]
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=Screenshot of lookatphysics.com (David Liao)
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists and biologists together to look at cancer in new ways [http://physics.cancer.gov]. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease" [http://iopscience.iop.org/1478-3975/8/1/010302].

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school [http://q-bio.org]. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. The website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology [http://qbio.lookatphysics.com]. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist (PhD, Princeton) in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives require journal articles to be accessible free of charge after an embargo period. These mandates achieve "technical" openness. Achieving a more practical openness, however, requires more than uploading a record of text and images to a public repository. The know-how to peruse scientific literature with ease must also be broadly distributed. It is preferable to release ''both'' software ''and'' underlying system libraries under GPL. Speaking loosely along the same lines of sentiment, it is likewise preferable to release, as free cultural works, ''both'' scientific literature ''and'' the instructional materials by virtue of which that literature becomes readable. Releasing the video tutorials under a CC BY-SA license communicates that the mathematical know-how described in these videos is a public good.

== Impact of the Creative Commons ==

One of the videos in the series derives significantly from a research journal article. The author wanted to ask the journal under what licenses he could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of free culture principles has greatly increased. This made it easy to refer to different licenses according to their abbreviated CC names during discussion with the journal (the journal granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-28T15:55:21Z

David Liao: /* Motivations */

{{Case Study
|Description=Video tutorials to help researchers, clinicians, and patient advocates learn about mathematical thinking at the interface between the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology [https://twitter.com/NCIPhySci/status/304250851193655296]
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=Screenshot of lookatphysics.com (David Liao)
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists and biologists together to look at cancer in new ways [http://physics.cancer.gov]. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease" [http://iopscience.iop.org/1478-3975/8/1/010302].

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school [http://q-bio.org]. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. The website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology [http://qbio.lookatphysics.com]. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist (PhD, Princeton) in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives require journal articles to be accessible free of charge after an embargo period. These mandates achieve "technical" openness. Achieving a more practical openness, however, requires more than uploading a record of text and images to a public repository. The know-how to peruse scientific literature with ease must also be broadly distributed. It is preferable to release ''both'' software ''and'' underlying system libraries under GPL. Speaking loosely along the same lines of sentiment, it is likewise preferable to release ''both'' scientific literature and datasets ''and'' the instructional materials that make that literature readable as free cultural works. Releasing the video tutorials under a CC BY-SA license communicates that the mathematical know-how described in these videos is a public good.

== Impact of the Creative Commons ==

One of the videos in the series derives significantly from a research journal article. The author wanted to ask the journal under what licenses he could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of free culture principles has greatly increased. This made it easy to refer to different licenses according to their abbreviated CC names during discussion with the journal (the journal granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-28T15:47:28Z

David Liao:

{{Case Study
|Description=Video tutorials to help researchers, clinicians, and patient advocates learn about mathematical thinking at the interface between the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology [https://twitter.com/NCIPhySci/status/304250851193655296]
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=Screenshot of lookatphysics.com (David Liao)
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists and biologists together to look at cancer in new ways [http://physics.cancer.gov]. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease" [http://iopscience.iop.org/1478-3975/8/1/010302].

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school [http://q-bio.org]. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. The website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology [http://qbio.lookatphysics.com]. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist (PhD, Princeton) in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives require journal articles to be accessible free of charge after an embargo period. These mandates achieve "technical" openness. Achieving a more practical openness, however, requires more than uploading a record of text and images to a public repository. The know-how to peruse scientific literature with ease must also be broadly distributed. Releasing the video tutorials under a CC BY-SA license communicates that this mathematical know-how is a public good.

== Impact of the Creative Commons ==

One of the videos in the series derives significantly from a research journal article. The author wanted to ask the journal under what licenses he could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of free culture principles has greatly increased. This made it easy to refer to different licenses according to their abbreviated CC names during discussion with the journal (the journal granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-27T20:21:57Z

David Liao: /* Impact of the Creative Commons */

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 Feb 20)
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists and biologists together to look at cancer in new ways [http://physics.cancer.gov]. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease" [http://iopscience.iop.org/1478-3975/8/1/010302].

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school [http://q-bio.org]. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. The website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology [http://qbio.lookatphysics.com]. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived significantly from a research journal article. I wanted to ask them under what licenses I could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of free culture principles has greatly increased. This made it easy for the journal and me to refer to different licenses according to their abbreviated CC names (they granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-27T20:05:50Z

David Liao: /* Overview */

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 Feb 20)
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists and biologists together to look at cancer in new ways [http://physics.cancer.gov]. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease" [http://iopscience.iop.org/1478-3975/8/1/010302].

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school [http://q-bio.org]. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. The website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology [http://qbio.lookatphysics.com]. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived significantly from a research journal article. I wanted to ask them under what licenses I could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of copyleft principles has greatly increased. This made it easy for the journal and me to refer to different licenses according to their abbreviated CC names (they granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-27T20:05:15Z

David Liao: /* Overview */

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 Feb 20)
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists and biologists together to look at cancer in new ways [http://physics.cancer.gov]. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease" [http://iopscience.iop.org/1478-3975/8/1/010302].

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school [http://q-bio.org]. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. The website, [http://qbio.lookatphysics.com], is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived significantly from a research journal article. I wanted to ask them under what licenses I could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of copyleft principles has greatly increased. This made it easy for the journal and me to refer to different licenses according to their abbreviated CC names (they granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-27T19:59:03Z

David Liao: /* Overview */

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 Feb 20)
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists and biologists together to look at cancer in new ways [http://physics.cancer.gov]. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease" [http://iopscience.iop.org/1478-3975/8/1/010302].

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school [http://q-bio.org]. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived significantly from a research journal article. I wanted to ask them under what licenses I could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of copyleft principles has greatly increased. This made it easy for the journal and me to refer to different licenses according to their abbreviated CC names (they granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-27T19:56:59Z

David Liao: /* Overview */

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 Feb 20)
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways [http://physics.cancer.gov]. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease." [http://iopscience.iop.org/1478-3975/8/1/010302]

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school [http://q-bio.org]. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived significantly from a research journal article. I wanted to ask them under what licenses I could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of copyleft principles has greatly increased. This made it easy for the journal and me to refer to different licenses according to their abbreviated CC names (they granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-27T19:54:04Z

David Liao:

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 Feb 20)
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) who has worked in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived significantly from a research journal article. I wanted to ask them under what licenses I could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of copyleft principles has greatly increased. This made it easy for the journal and me to refer to different licenses according to their abbreviated CC names (they granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-27T19:51:59Z

David Liao: /* Impact of the Creative Commons */

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 February 20)
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) who has worked in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived significantly from a research journal article. I wanted to ask them under what licenses I could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of copyleft principles has greatly increased. This made it easy for the journal and me to refer to different licenses according to their abbreviated CC names (they granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-27T19:46:23Z

David Liao:

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 February 20)
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) who has worked in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived in noticeable ways from a research journal article. I wanted to ask them under what licenses I could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of copyleft principles has greatly increased. This made it easy for the journal and me to refer to different licenses according to their abbreviated CC names (they granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-27T19:43:17Z

David Liao: /* Overview */

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 February 20)
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields.

''A mathematical way to think about biology'' was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) who has worked in the Physical Sciences-Oncology Network.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived in noticeable ways from a research journal article. I wanted to ask them under what licenses I could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of copyleft principles has greatly increased. This made it easy for the journal and me to refer to different licenses according to their abbreviated CC names (they granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-27T19:40:27Z

David Liao: /* Impact of the Creative Commons */

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 February 20)
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields. "A mathematical way to think about biology" was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) who has worked in the Physical Sciences-Oncology Network, both in a physics group and a biology group.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived in noticeable ways from a research journal article. I wanted to ask them under what licenses I could release the video. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness of copyleft principles has greatly increased. This made it easy for the journal and me to refer to different licenses according to their abbreviated CC names (they granted permission to release the video under CC BY-SA).

Case Studies/A mathematical way to think about biology

2013-03-27T19:35:19Z

David Liao:

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 February 20)
|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields. "A mathematical way to think about biology" was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) who has worked in the Physical Sciences-Oncology Network, both in a physics group and a biology group.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived in noticeable ways from a research journal article. The author wanted to know whether the video could be released CC BY-SA. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness about copyleft principles has greatly increased. This made it easy for the journal to approve distribution of the video under CC BY-SA.

File:LookatphysicsHeader.png

2013-03-27T19:34:59Z

David Liao: David Liao uploaded a new version of "File:LookatphysicsHeader.png": Smaller version for case study header

Screenshot of "A mathematical way to think about biology" website

Case Studies/A mathematical way to think about biology

2013-03-27T19:32:12Z

David Liao:

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 February 20)
|Image_Header=http://wiki.creativecommons.org/images/thumb/4/45/LookatphysicsHeader.png/800px-LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields. "A mathematical way to think about biology" was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) who has worked in the Physical Sciences-Oncology Network, both in a physics group and a biology group.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived in noticeable ways from a research journal article. The author wanted to know whether the video could be released CC BY-SA. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness about copyleft principles has greatly increased. This made it easy for the journal to approve distribution of the video under CC BY-SA.

Case Studies/A mathematical way to think about biology

2013-03-27T19:29:32Z

David Liao:

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 February 20)
|Image_Header=http://wiki.creativecommons.org/File:LookatphysicsHeader.png
|Image_attribution=David Liao
|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields. "A mathematical way to think about biology" was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) who has worked in the Physical Sciences-Oncology Network, both in a physics group and a biology group.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived in noticeable ways from a research journal article. The author wanted to know whether the video could be released CC BY-SA. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness about copyleft principles has greatly increased. This made it easy for the journal to approve distribution of the video under CC BY-SA.

Case Studies/A mathematical way to think about biology

2013-03-27T19:28:29Z

David Liao: /* Media */

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 February 20)
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields. "A mathematical way to think about biology" was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) who has worked in the Physical Sciences-Oncology Network, both in a physics group and a biology group.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived in noticeable ways from a research journal article. The author wanted to know whether the video could be released CC BY-SA. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness about copyleft principles has greatly increased. This made it easy for the journal to approve distribution of the video under CC BY-SA.

File:LookatphysicsHeader.png

2013-03-27T19:27:27Z

David Liao: Screenshot of "A mathematical way to think about biology" website

Screenshot of "A mathematical way to think about biology" website

Case Studies/A mathematical way to think about biology

2013-03-27T19:26:04Z

David Liao:

{{Case Study
|Description=Video tutorial series to help researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology (2013 February 20)
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields. "A mathematical way to think about biology" was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) who has worked in the Physical Sciences-Oncology Network, both in a physics group and a biology group.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

Current open access initiatives in research achieve "technical" openness. Journal articles are available for viewing without charge. To achieve actual openness, however, knowledge cannot merely be uploaded as a mass of text and images to a public repository. The know-how to peruse it with ease must also be broadly distributed. Releasing the video tutorials series under CC BY-SA is my way of communicating that this knowledge belongs to everyone.

== Impact of the Creative Commons ==

One of the videos is derived in noticeable ways from a research journal article. The author wanted to know whether the video could be released CC BY-SA. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness about copyleft principles has greatly increased. This made it easy for the journal to approve distribution of the video under CC BY-SA.

== Media ==
'''Please include any screenshots, logos, links to videos, audio files, press hits, etc. To upload a file, open a separate window and click through [[Special:Upload]].'''

Case Studies/A mathematical way to think about biology

2013-03-27T19:07:46Z

David Liao:

{{Case Study
|Description="A mathematical way to think about biology" is a video tutorial series to help scientific researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|Tag=math,science,physics,biology,physical biology,physical oncology
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
|Quote_Attribution=https://twitter.com/NCIPhySci/status/304250851193655296
}}
== Overview ==

In 2009, the National Cancer Institute began funding the Physical Sciences-Oncology Network to bring physical scientists together with biologists to look at cancer in new ways. To fully realize the potential benefit of this network, investigators must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school. However, mathematical prerequisites for these courses remain a challenge for investigators trained in many life sciences fields. "A mathematical way to think about biology" was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

David Liao is a physicist by training (PhD, Princeton) who has worked in the Physical Sciences-Oncology Network, both in a physics group and a biology group.

== License Usage ==

The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.

== Motivations ==

'''How did the author or organization first hear about Creative Commons? Why did they choose to license under Creative Commons? Which license did they select and why? Any other issues you may have come across/comments you’d like to make.'''

The author felt uncomfortable with more traditional paywall and pay-per-view models for disseminating teaching materials for knowledge. Starting out in physics and then interacting biological disciplines, he was amazed

== Impact of the Creative Commons ==

One of the videos is derived in noticeable ways from a research journal article. The author wanted to know whether the video could be released CC BY-SA. A decade ago, this would have required a long email explaining copyleft. Owing to educational outreach by the Creative Commons (and allied efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science), awareness about copyleft principles has greatly increased. This made it easy for the journal to approve distribution of the video under CC BY-SA.

== Media ==
'''Please include any screenshots, logos, links to videos, audio files, press hits, etc. To upload a file, open a separate window and click through [[Special:Upload]].'''

Case Studies/A mathematical way to think about biology

2013-03-27T18:48:55Z

David Liao:

{{Case Study
|Description=(This is a stub created by the case study author; your patience is appreciated during editing)

"A mathematical way to think about biology" is a video tutorial series to help scientific researchers, clinicians, patient advocates, and the public learn about mathematical thinking at the interface of the physical sciences and biology, released under a Creative Commons Attribution-Share Alike license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
}}
== Overview ==

To fully realize the potential benefit of collaboration between the biological and physical sciences, the initiatives of the Office of Physical Sciences Oncology (physics.cancer.gov) must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school (q-bio.org). However, mathematical prerequisites for these courses pose a challenge for investigators trained in many life sciences fields. A mathematical way to think about biology was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.

'''Please provide an overview of the work. Describe the author or organization (location, funding/business model, partner organizations), objectives, current projects.'''

Delete the above questions and add text here.

== License Usage ==

'''Please specify the license adopted. How is the license applied? Can you provide any available statistics? What has been the author or organization's experience with Creative Commons licenses so far – what have been the benefits and lessons learned?'''

Delete the above questions and add text here.

== Motivations ==

'''How did the author or organization first hear about Creative Commons? Why did they choose to license under Creative Commons? Which license did they select and why? Any other issues you may have come across/comments you’d like to make.'''

Delete the above questions and add text here.

== Impact ==

Using the CC BY-SA license allows me to quickly communicate that the lectures are available for reuse (even commercial). The work that the Creative Commons (as well as similar efforts by the Free Software Foundation, Wikipedia, and the Public Library of Science) have done increasing awareness about copyleft principles made it very easy to ask a journal for permission to release a video describing one of their articles. I didn't have to explain each CC license; I simply said which license I wanted to use (CC BY-SA), and they said fine.

== Media ==
'''Please include any screenshots, logos, links to videos, audio files, press hits, etc. To upload a file, open a separate window and click through [[Special:Upload]].'''

Delete the above questions and add text here.

Case Studies/A mathematical way to think about biology

2013-03-27T17:21:40Z

David Liao:

{{Case Study
|Description=(This is a stub created by the case study author; your patience is appreciated during editing)

To fully realize the potential benefit of collaboration between the biological and physical sciences, the initiatives of the Office of Physical Sciences Oncology (physics.cancer.gov) must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school (q-bio.org). However, mathematical prerequisites for these courses pose a challenge for investigators trained in many life sciences fields. A mathematical way to think about biology was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
}}
== Overview ==

'''Please provide an overview of the work. Describe the author or organization (location, funding/business model, partner organizations), objectives, current projects.'''

Delete the above questions and add text here.

== License Usage ==

'''Please specify the license adopted. How is the license applied? Can you provide any available statistics? What has been the author or organization's experience with Creative Commons licenses so far – what have been the benefits and lessons learned?'''

Delete the above questions and add text here.

== Motivations ==

'''How did the author or organization first hear about Creative Commons? Why did they choose to license under Creative Commons? Which license did they select and why? Any other issues you may have come across/comments you’d like to make.'''

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== Impact ==
'''What is the impact of this CC-enabled project or resource? Specifically, what has the license enabled that otherwise would not exist? Provide statistics or other data if possible.'''

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== Technical Details ==

'''Provide any technical details of the implementation here'''

== Media ==
'''Please include any screenshots, logos, links to videos, audio files, press hits, etc. To upload a file, open a separate window and click through [[Special:Upload]].'''

Delete the above questions and add text here.

Case Studies/A mathematical way to think about biology

2013-03-27T17:20:19Z

David Liao: Created page with "{{Case Study |Description=To fully realize the potential benefit of collaboration between the biological and physical sciences, the initiatives of the Office of Physical Scien..."

{{Case Study
|Description=To fully realize the potential benefit of collaboration between the biological and physical sciences, the initiatives of the Office of Physical Sciences Oncology (physics.cancer.gov) must accomplish more than simply continuing the development of measurement technologies. Moore et al. have commented that previous "contributions [i.e. x-rays, PET, and MRI] leverage the technology development aspect from the physical sciences . . . but not other important aspects like methodology, practices and thought processes. What is different about the NCI’s PS-OC Program is the conviction that unique physical sciences and engineering approaches and principles can be integrated . . . in cancer research to yield a more fundamental understanding of the disease."

One of these physical sciences "thought processes" is quantitative reasoning. Resources for developing this skill currently include introductory courses in quantitative biology. For example, Los Alamos National Laboratories hosts the invaluable q-Bio summer school (q-bio.org). However, mathematical prerequisites for these courses pose a challenge for investigators trained in many life sciences fields. A mathematical way to think about biology was developed to help address this challenge. This website is a collection of video tutorials to help biologists, clinicians, and patient advocates prepare for courses in quantitative biology. The purpose of these videos is to provide familiarity with introductory topics often presented in quantitative biology courses and confidence to actively learn the more sophisticated concepts that are developed from these foundations.

To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.
|Mainurl=http://qbio.lookatphysics.com
|Author=David Liao
|User_Status=Creator
|License short name=CC BY-SA
|CC adoption date=2011
|Format=MovingImage
|Country=global
}}
== Overview ==

'''Please provide an overview of the work. Describe the author or organization (location, funding/business model, partner organizations), objectives, current projects.'''

Delete the above questions and add text here.

== License Usage ==

'''Please specify the license adopted. How is the license applied? Can you provide any available statistics? What has been the author or organization's experience with Creative Commons licenses so far – what have been the benefits and lessons learned?'''

Delete the above questions and add text here.

== Motivations ==

'''How did the author or organization first hear about Creative Commons? Why did they choose to license under Creative Commons? Which license did they select and why? Any other issues you may have come across/comments you’d like to make.'''

Delete the above questions and add text here.

== Impact ==
'''What is the impact of this CC-enabled project or resource? Specifically, what has the license enabled that otherwise would not exist? Provide statistics or other data if possible.'''

Delete the above questions and add text here.

== Technical Details ==

'''Provide any technical details of the implementation here'''

== Media ==
'''Please include any screenshots, logos, links to videos, audio files, press hits, etc. To upload a file, open a separate window and click through [[Special:Upload]].'''

Delete the above questions and add text here.