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Citizen Science: Building REALLY 
Large Teams to Get Research Done 
or 
<…with apologies to Pirandello…> 
8 short stories in search of authority 
Richard J. Bookman, PhD 
rbookman@miami.edu 
@rbookman 
Oct 8, 2014 
UM CTSI Seminar Series
<talk>
<intro>
ATLAS team at the LHC/CERN 
http://particularphysics.tumblr.com/day/2012/08/31
in the beginning… 
…there was nothing but citizen science.
http://www.theshirtdudes.com/trust-scientist.html
Science is the belief in 
the ignorance of experts. 
Richard Feynman, 
“What is Science?”, 
address to science teachers, 1966 
http://img.youtube.com/vi/_ah7f-1M2Sg/hqdefault.jpg
Crowdsourcing is not new 
“The greatest improvements…have been the 
effects of the division of labor.” 
Adam Smith, 
Wealth of Nations, 1776
Cognitive surplus
</intro>
<stories>
<1>
<</21>>
http://blog.galaxyzoo.org/2013/02/22/green-valley-the-town-too-good-to-di/
http://spaceinfo.com.au/2010/09/16/puzzle-of-the-green-pea-galaxies/
<</32>>
• Is it citizen science?
<</43>>
<</54>>
<</65>>
Game Players Contribute to Research 
• Games are an effective interface enabling non-experts to work on 
scientific problems 
• Game Players working alone or together can solve puzzles that 
algorithms (and experts) cannot. 
• In aggregate, performance measures of non-experts can meet/exceed 
experts 
• Games can be used to train algorithms to work better 
couchj@mail.nih.gov
<</76>>
And what if the science is about 
citizen health?
http://www.patientslikeme.com/about
http://www.pnas.org/content/105/6/2052
Methods 
http://www.pnas.org/content/105/6/2052
Wicks et al., Nat Biotech, 29(5);p411.
http://www.nature.com/nbt/journal/v29/n5/full/nbt.1837.html
Abstract 
Patients with serious diseases may experiment with drugs 
that have not received regulatory approval. Online patient 
communities structured around quantitative outcome data 
have the potential to provide an observational environment 
to monitor such drug usage and its consequences. Here 
we describe an analysis of data reported on the website 
PatientsLikeMe by patients with amyotrophic lateral sclerosis (ALS) 
who experimented with lithium carbonate treatment. 
To reduce potential bias owing to lack of randomization, we 
developed an algorithm to match 149 treated patients to multiple 
controls (447 total) based on the progression of their disease course. 
At 12 months after treatment, we found no effect of lithium on 
disease progression. Although observational studies using unblinded 
data are not a substitute for double- blind randomized control trials, 
this study reached the same conclusion as subsequent randomized 
trials, 
http://www.nature.com/nbt/journal/v29/n5/pdf/nbt.1837.pdf
And what if the science is about 
citizen health? 
“What I’ve found to be most amazing about these 
forums thus far is the ability of patients to identify 
common side effects, formulate solutions, test 
them, and confirm their general efficacy all in a 
matter of days, when it would take researchers 
weeks or even months to generate the same 
knowledge.”— 
Patient with ALS discussing potential treatments on 
the forum of the ALS Therapy Development Institute
<</87>>
</s<to/8ri>es>
<show $>
NIH’s View 
https://imagebank.nih.gov/details.cfm?imageid=1335
Citizen Science Working Group 
Chair: Dinah Singer, Ph.D. Director, Division of Cancer Biology 
Coordinators: Jennifer Couch, Ph.D., Elizabeth Gillanders, Ph.D. & Steve Becker, Ph.D. 
Members 
Stephanie Archer, Ph.D. 
Clinical Trials Specialist 
Pregnancy & Perinatology Branch 
The Eunice Kennedy Shriver National 
Institute of Child Health and Human 
Development (NICHD) 
Vivien Bonazzi, Ph.D. 
Program Director 
Division of Genome Sciences 
National Human Genome Research 
Institute (NHGRI) 
Olga Brazhnik, Ph.D. 
Computer Scientist 
Division of Biomedical Technology 
National Center for Advancing 
Translational Science (NCATS) 
Robin Brown, M.S. 
Program Associate Director 
Division of Cancer Biology 
National Cancer Institute (NCI) 
Charlisse Caga-Anan, J.D. 
Program Director 
Division of Cancer Control and 
Population Sciences 
National Cancer Institute (NCI) 
Vinod Charles, Ph.D. 
Scientific Review Officer 
Division of Extramural Activities 
National Institute of Mental Health (NIMH) 
Richard Conroy, Ph.D. 
Program Director 
Division of Applied Science and Technology 
National Institute of Biomedical Imaging and 
Bioengineering (NIBIB) 
Christina Daulton 
Educational Outreach Specialist 
Division of Policy, Communications, and 
Education Staff 
National Human Genome Research Institute 
(NHGRI) 
Allen Dearry, Ph.D. 
Director 
Office of Scientific Information Management 
National Institute of Environmental Health 
Sciences (NIEHS) 
Leslie Derr, Ph.D. 
Program Director 
NIH Common Fund in the Office of Strategic 
Coordination 
Office of the Director, National Institutes of 
Health 
Triesta Fowler-Lee, M.D. 
Medical Officer 
Public Information and 
Communications Branch 
National Institute of Child Health and 
Human Development (NICHD) 
Gregg Furie, M.D., M.H.S. 
Health Scientist 
Office of Behavioral and Social 
Sciences Research 
Office of the Director, National 
Institutes of Health 
Jean McEwen, J.D., Ph.D. 
Program Director 
Division of Genomics and Society 
National Human Genome Research 
Institute (NHGRI) 
Lita Proctor, Ph.D. 
Program Director 
Division of Genome Sciences 
National Human Genome Research 
Institute (NHGRI) 
Krystyna Rys-Sikora, Ph.D. 
Director 
Kidney Acute Injury Basic and 
Chronic Kidney Disease Basic 
Programs 
Director, Kidney T32 Program 
National Institute of Diabetes and 
Digestive and Kidney Diseases 
(NIDDK) 
Yasaman Shirazi, Ph.D. 
Chief 
Scientific Review Branch 
National Institute of Dental and 
Craniofacial Research (NIDCR) 
Carol Weil, J.D. 
Program Director 
Ethical and Regulatory Affairs 
National Cancer Institute Cancer 
Diagnosis Program 
National Cancer Institute (NCI)
Citizen Science Consortium 
Citizen 
Science 
Resource 
Centers 
Data 
Science 
Center 
ELSI 
Challenge 
Resource 
Center 
Games 
Data Contribution 
& Collection 
Data analysis 
Coordinating 
Center 
NIH Citizen Science Interest Group 
External Advisory Board 
Deliverables 
• 
• 
• 
• 
Rigorously tested 
methods validated on 
biomedical research 
questions 
Best practices: an 
understanding of which 
approaches work best for 
categories of research 
questions 
Clearinghouse: 
dissemination of citizen 
science opportunities and 
methods. 
Evaluation criteria for 
citizen science methods 
in biomedical research 
http://dpcpsi.nih.gov/sites/default/files/Citizen_Science_presentation_to_CoC_Jan31.pdf
• 
• 
• 
• 
• 
• 
What We’ve Learned- Challenges 
Citizen Science methodologies are new to biomedical research. 
Current biomedical research policies, regulations and practices were not 
designed for Citizen Science methods. 
The creation of flexible infrastructure and governance models that enable 
multiple levels of participation while maintaining data security, integrity, and 
scientific rigor is essential. 
Methods need to be developed/adapted and rigorously tested in biomedical 
research so we know what works and doesn’t work. 
Dissemination of tools, best practices, and training resources will be important 
for researchers and citizens to use citizen science methods effectively. 
Evaluation criteria for Citizen Science approach to biomedical research needs 
to be developed. 
http://dpcpsi.nih.gov/sites/default/files/Citizen_Science_presentation_to_CoC_Jan31.pdf
</show $>
<issues>
what is citizen 
science?
What do citizen scientists do? 
Collect data 
Donate samples (dna, μbiome) 
Analyze data 
Solve puzzles 
Ask questions 
Formulate hypotheses 
Build tools 
Write 
Socialize
How does citizen science work? 
Standalone app 
Platform-based 
Gaming 
Challenges/competitions 
Solo &/or teams 
Social networks/build community
Emerging Issues in Citizen Science 
Quality 
Reproducibility 
Credit/Attribution 
Identity/Privacy 
Retention 
Capacity
…and then there’s this:
http://www.csmonitor.com/Business/The-Adam-Smith-Institute-Blog/2011/0131/Forget-fair-trade-buy-from-
Ethical, Legal and Social 
Implications 
• Virtual sweatshop 
• IP 
• Misrepresentation of task 
• Repression 2.0 
• Disruptive participants
Ethical, Legal and Social 
Implications 
Some solutions 
• Trusted platforms 
• Open algorithms 
• Consent to play/participate 
• Identity Verification 
• Credit or badge system
</issues>
How can you use citizen 
science and human/machine 
computation in your research?
</talk>
extras
https://www.mturk.com/mturk/welcome
Univ of Miami CTSI: Citizen science seminar; Oct 2014
Univ of Miami CTSI: Citizen science seminar; Oct 2014

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Univ of Miami CTSI: Citizen science seminar; Oct 2014

  • 1. Citizen Science: Building REALLY Large Teams to Get Research Done or <…with apologies to Pirandello…> 8 short stories in search of authority Richard J. Bookman, PhD rbookman@miami.edu @rbookman Oct 8, 2014 UM CTSI Seminar Series
  • 4. ATLAS team at the LHC/CERN http://particularphysics.tumblr.com/day/2012/08/31
  • 5. in the beginning… …there was nothing but citizen science.
  • 7. Science is the belief in the ignorance of experts. Richard Feynman, “What is Science?”, address to science teachers, 1966 http://img.youtube.com/vi/_ah7f-1M2Sg/hqdefault.jpg
  • 8. Crowdsourcing is not new “The greatest improvements…have been the effects of the division of labor.” Adam Smith, Wealth of Nations, 1776
  • 12. <1>
  • 13.
  • 15.
  • 16.
  • 19.
  • 21. • Is it citizen science?
  • 23.
  • 25.
  • 26.
  • 27.
  • 28.
  • 30.
  • 31. Game Players Contribute to Research • Games are an effective interface enabling non-experts to work on scientific problems • Game Players working alone or together can solve puzzles that algorithms (and experts) cannot. • In aggregate, performance measures of non-experts can meet/exceed experts • Games can be used to train algorithms to work better couchj@mail.nih.gov
  • 33. And what if the science is about citizen health?
  • 34.
  • 38. Wicks et al., Nat Biotech, 29(5);p411.
  • 40. Abstract Patients with serious diseases may experiment with drugs that have not received regulatory approval. Online patient communities structured around quantitative outcome data have the potential to provide an observational environment to monitor such drug usage and its consequences. Here we describe an analysis of data reported on the website PatientsLikeMe by patients with amyotrophic lateral sclerosis (ALS) who experimented with lithium carbonate treatment. To reduce potential bias owing to lack of randomization, we developed an algorithm to match 149 treated patients to multiple controls (447 total) based on the progression of their disease course. At 12 months after treatment, we found no effect of lithium on disease progression. Although observational studies using unblinded data are not a substitute for double- blind randomized control trials, this study reached the same conclusion as subsequent randomized trials, http://www.nature.com/nbt/journal/v29/n5/pdf/nbt.1837.pdf
  • 41. And what if the science is about citizen health? “What I’ve found to be most amazing about these forums thus far is the ability of patients to identify common side effects, formulate solutions, test them, and confirm their general efficacy all in a matter of days, when it would take researchers weeks or even months to generate the same knowledge.”— Patient with ALS discussing potential treatments on the forum of the ALS Therapy Development Institute
  • 43.
  • 47. Citizen Science Working Group Chair: Dinah Singer, Ph.D. Director, Division of Cancer Biology Coordinators: Jennifer Couch, Ph.D., Elizabeth Gillanders, Ph.D. & Steve Becker, Ph.D. Members Stephanie Archer, Ph.D. Clinical Trials Specialist Pregnancy & Perinatology Branch The Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Vivien Bonazzi, Ph.D. Program Director Division of Genome Sciences National Human Genome Research Institute (NHGRI) Olga Brazhnik, Ph.D. Computer Scientist Division of Biomedical Technology National Center for Advancing Translational Science (NCATS) Robin Brown, M.S. Program Associate Director Division of Cancer Biology National Cancer Institute (NCI) Charlisse Caga-Anan, J.D. Program Director Division of Cancer Control and Population Sciences National Cancer Institute (NCI) Vinod Charles, Ph.D. Scientific Review Officer Division of Extramural Activities National Institute of Mental Health (NIMH) Richard Conroy, Ph.D. Program Director Division of Applied Science and Technology National Institute of Biomedical Imaging and Bioengineering (NIBIB) Christina Daulton Educational Outreach Specialist Division of Policy, Communications, and Education Staff National Human Genome Research Institute (NHGRI) Allen Dearry, Ph.D. Director Office of Scientific Information Management National Institute of Environmental Health Sciences (NIEHS) Leslie Derr, Ph.D. Program Director NIH Common Fund in the Office of Strategic Coordination Office of the Director, National Institutes of Health Triesta Fowler-Lee, M.D. Medical Officer Public Information and Communications Branch National Institute of Child Health and Human Development (NICHD) Gregg Furie, M.D., M.H.S. Health Scientist Office of Behavioral and Social Sciences Research Office of the Director, National Institutes of Health Jean McEwen, J.D., Ph.D. Program Director Division of Genomics and Society National Human Genome Research Institute (NHGRI) Lita Proctor, Ph.D. Program Director Division of Genome Sciences National Human Genome Research Institute (NHGRI) Krystyna Rys-Sikora, Ph.D. Director Kidney Acute Injury Basic and Chronic Kidney Disease Basic Programs Director, Kidney T32 Program National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Yasaman Shirazi, Ph.D. Chief Scientific Review Branch National Institute of Dental and Craniofacial Research (NIDCR) Carol Weil, J.D. Program Director Ethical and Regulatory Affairs National Cancer Institute Cancer Diagnosis Program National Cancer Institute (NCI)
  • 48. Citizen Science Consortium Citizen Science Resource Centers Data Science Center ELSI Challenge Resource Center Games Data Contribution & Collection Data analysis Coordinating Center NIH Citizen Science Interest Group External Advisory Board Deliverables • • • • Rigorously tested methods validated on biomedical research questions Best practices: an understanding of which approaches work best for categories of research questions Clearinghouse: dissemination of citizen science opportunities and methods. Evaluation criteria for citizen science methods in biomedical research http://dpcpsi.nih.gov/sites/default/files/Citizen_Science_presentation_to_CoC_Jan31.pdf
  • 49. • • • • • • What We’ve Learned- Challenges Citizen Science methodologies are new to biomedical research. Current biomedical research policies, regulations and practices were not designed for Citizen Science methods. The creation of flexible infrastructure and governance models that enable multiple levels of participation while maintaining data security, integrity, and scientific rigor is essential. Methods need to be developed/adapted and rigorously tested in biomedical research so we know what works and doesn’t work. Dissemination of tools, best practices, and training resources will be important for researchers and citizens to use citizen science methods effectively. Evaluation criteria for Citizen Science approach to biomedical research needs to be developed. http://dpcpsi.nih.gov/sites/default/files/Citizen_Science_presentation_to_CoC_Jan31.pdf
  • 52. what is citizen science?
  • 53. What do citizen scientists do? Collect data Donate samples (dna, μbiome) Analyze data Solve puzzles Ask questions Formulate hypotheses Build tools Write Socialize
  • 54. How does citizen science work? Standalone app Platform-based Gaming Challenges/competitions Solo &/or teams Social networks/build community
  • 55.
  • 56. Emerging Issues in Citizen Science Quality Reproducibility Credit/Attribution Identity/Privacy Retention Capacity
  • 59. Ethical, Legal and Social Implications • Virtual sweatshop • IP • Misrepresentation of task • Repression 2.0 • Disruptive participants
  • 60. Ethical, Legal and Social Implications Some solutions • Trusted platforms • Open algorithms • Consent to play/participate • Identity Verification • Credit or badge system
  • 62. How can you use citizen science and human/machine computation in your research?
  • 64.

Notes de l'éditeur

  1. Provide outline of talk: Intro – incl some historical background & perspective. Tell 8 stories about 8 different citizen projects, emphasizing special features of each, these are all filled with exciting potential… then consider NIH’s views and current plans around citizen science then discuss some challenges and limitations. OVERALL GOAL: Hope to help you think about how you might use citizen science approaches in your own research.
  2. Physics knows a lot of building large teams Here’s a big team in science….just 1 of the instruments at the LHC But this isn’t a big team, by the standards of citizen science.
  3. https://library.uthsc.edu/exhibits/stamps/physicians.htm – mendel http://pballew.blogspot.com/2011/11/on-this-day-in-math-nov-9.html - newton http://rainbowstampclub.blogspot.com/2009/02/new-stamp-on-darwin-from-italy.html - Darwin http://www.philatelia.net/classik/stamps/?id=12787 – Aristotle
  4. So how much labor is out there…available for science?
  5. Mention amazon mechanical turk
  6. 2007. In 7 months, 900,000 galaxies classified….through 50 million classifications.
  7. Hanny Van Arkel, a dutch school teacher……
  8. Give peas a chance The PeasCorps
  9. Shift to Polymath
  10. Now start stories in life sciences and biomedical research Start w/ cancer and biopsy specimens – cell slider
  11. Shift to eyewire
  12. Shift to foldit
  13. David Baker, UWash, Zoran Popovic Rosetta@Home, modeled after SETI@Home – a screensaver. Then got feedback from people staring at their screensavers with suggestions. In 4 months, 50,000 users. After 1 year, 200,000. Includes new algorithm development…and a PNAS paper with gamer authors. EBOLA
  14. Shift to patients like me
  15. Combine the chat rooms of the 80’s and 90’s with a structured data approach to documenting health. Started in 2004; then ALS goes live in 2006.
  16. PRO = patient reported outcomes
  17. uBiome…..searchable database
  18. It’s all so cool and disruptive and innovative and news-making and amazing and …….