Difference between revisions of "Case Studies/A mathematical way to think about biology"

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{{Case Study
 
{{Case Study
|Description=(This is a stub created by the case study author; your patience is appreciated during editing)
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|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.
 
 
"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
 
|Mainurl=http://qbio.lookatphysics.com
 
|Author=David Liao
 
|Author=David Liao
 
|User_Status=Creator
 
|User_Status=Creator
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|Tag=math,science,physics,biology,physical biology,physical oncology, OER, education
 
|License short name=CC BY-SA
 
|License short name=CC BY-SA
 
|CC adoption date=2011
 
|CC adoption date=2011
 
|Format=MovingImage
 
|Format=MovingImage
 
|Country=global
 
|Country=global
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|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
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|Quote_Attribution=Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology [https://twitter.com/NCIPhySci/status/304250851193655296]
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|Image_Header=http://wiki.creativecommons.org/images/4/45/LookatphysicsHeader.png
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|Image_attribution=Screenshot of lookatphysics.com (David Liao)
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|Image_license=http://creativecommons.org/licenses/by-sa/3.0/
 
}}
 
}}
 
== Overview ==
 
== 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."
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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 (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.
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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.  
  
To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.
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''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.
  
'''Please provide an overview of the work. Describe the author or organization (location, funding/business model, partner organizations), objectives, current projects.'''
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To ensure broadest delivery of this resource, the slides and videos are made available under a CC BY-SA license.
  
Delete the above questions and add text here.  
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The videos are produced by David Liao, a physicist (PhD, Princeton) in the Physical Sciences-Oncology Network.
  
 
== License Usage ==
 
== 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?'''  
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The slide decks and video tutorials are individually released under a Creative Commons Attribution-Share Alike license.   
 
 
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== Motivations ==
 
== 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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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 readableReleasing the video tutorials under a CC BY-SA license communicates that the mathematical know-how described in these videos is a public good.
 
 
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== 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 articlesI 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 ==
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== Impact of the Creative Commons ==
'''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.
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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).

Latest revision as of 17:02, 28 March 2013


License Used
unspecified
Media
MovingImage
2011
Tags
math,science,physics,biology,physical biology,physical oncology, OER, education
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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.

Excellent site for both basic and advanced lessons on applying mathematics to biology — Tweeted by the National Cancer Institute Office of Physical Sciences-Oncology [1]

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 [2]. 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" [3].

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 [4]. 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 [5]. 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).