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="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.
 
 
"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
 +
|Tag=math,science,physics,biology,physical biology,physical oncology
 
|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
 +
|Quote=Excellent site for both basic and advanced lessons on applying mathematics to biology
 +
|Quote_Attribution=https://twitter.com/NCIPhySci/status/304250851193655296
 
}}
 
}}
 
== 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 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 (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.
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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. 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.
  
'''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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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 ==
 
== 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.   
 
 
Delete the above questions and add text here.
 
  
 
== Motivations ==
 
== Motivations ==
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'''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.'''  
 
'''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.
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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 ==
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== Impact of the Creative Commons ==
  
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.   
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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 ==
 
== 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]].'''  
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'''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.
 

Revision as of 20:07, 27 March 2013



License Used
unspecified
Media
MovingImage
2011
Tags
math,science,physics,biology,physical biology,physical oncology
Translations

.


Evaluation Information.png
Page Importance:
Page Quality:
"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.

Excellent site for both basic and advanced lessons on applying mathematics to biology 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.