Science 2.0


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Science 2.0 - how mass collaboration and long-tail combine to create new scientific and innovation communities

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Science 2.0

  1. 1. Science 2.0 Robert D. Cormia Foothill College
  2. 2. Science 2.0 Meme Map
  3. 3. Citizen Science Defined <ul><li>&quot;Citizen science describes projects or an ongoing program of scientific work in which individual volunteers or networks of volunteers, many with no formal scientific training, perform or manage research-related tasks such as observation, measurement or computation&quot; [Wikipedia] </li></ul>
  4. 4. Drivers of Science 2.0 <ul><li>Wikinomics principles </li></ul><ul><ul><li>Openness, sharing, peering, acting globally </li></ul></ul><ul><li>Public scientific data </li></ul><ul><li>Free analytical tools </li></ul><ul><li>Surplus cognitive cycles </li></ul><ul><li>Communities of practice </li></ul>
  5. 5. Wikinomics <ul><li>In the last few years, traditional collaboration—in a meeting room, a conference call, even a convention center—has been superseded by collaborations on an astronomical scale. </li></ul><ul><li>Today, encyclopedias, jetliners, operating systems, mutual funds, and many other items are being created by teams numbering in the thousands or even millions. While some leaders fear the heaving growth of these massive online communities, Wikinomics proves this fear is folly. Smart firms can harness collective capability and genius to spur innovation, growth, and success. </li></ul>
  6. 6. Web 2.0 Technology <ul><li>Wikis - collaborative writing </li></ul><ul><li>Blogs - individual publishing </li></ul><ul><li>Tagging - community interpretation </li></ul><ul><li>YouTube - demonstrations </li></ul><ul><li>Electronic notebooks - shared learning </li></ul>The ReadWriteWeb – people interacting with data interacting with people and communities
  7. 8. Science 2.0
  8. 9. HHMI – Science 2.0
  9. 10. Open Data
  10. 11. Open Tools and Data <ul><li>Gov’t funded research </li></ul><ul><li>Sensor networks </li></ul><ul><li>NCBI / genomics </li></ul><ul><li>Gapminder </li></ul><ul><li>Data visualization tools and portals </li></ul>
  11. 12. Data Driven Science <ul><li>The scientific method was traditionally driven by hypothesis . First scientists predict a good response, then collect experimental data to finally test the data against its predictions. However, in the new data-driven approach researchers start with collecting data and afterwards analyze data. This approach becomes feasible when experiments produce enormous amounts of data , and enough data to test hypotheses more than any scientist could ever think of . </li></ul>
  12. 14.
  13. 15. IBM Many Eyes
  14. 16. Open Journals <ul><li>Publish early findings </li></ul><ul><li>Free public access </li></ul><ul><li>Download real data </li></ul><ul><li>PLoS, PLoS ONE </li></ul><ul><li>Open Access Biological Science Journals </li></ul>
  15. 18. PLoS one
  16. 20. Access for All <ul><li>Citizen scientists </li></ul><ul><li>Access to data </li></ul><ul><li>Access to tools </li></ul><ul><li>Access to literature </li></ul><ul><li>Access to people </li></ul>
  17. 21.
  18. 22. Remote Access <ul><li>Students can ‘drive’ an AFM or SEM remotely over the Internet, examine samples, download images, and interact with scientists (Skype) </li></ul><ul><li>A ‘no cost’ solution to gaming access to very expensive equipment. </li></ul>
  19. 23. Communities of Interest <ul><li>23 and Me </li></ul><ul><li>DIY genomics </li></ul><ul><li>CureTogether </li></ul><ul><li>Audubon </li></ul><ul><li>Research gate </li></ul>
  20. 24. 23andMe
  21. 25. DIY Genomics
  22. 26. CureTogether
  23. 27. ResearchGate
  24. 28. ResearchGate
  25. 29. Citizen Scientists
  26. 30. Citizen Science Projects
  27. 31. Zooniverse
  28. 32. Sci-Mate
  29. 33. JoVE -Journal of Visualized Experiments
  30. 34. Material Transfer Environment What is a Scientific Material Transfer Environment?  The Sci-MaTE is an online marketplace where academic scientists can promote AND control the distribution of any item of interest to other researchers, developers and Industry. There are a lot of &quot; Items &quot; developed in research that have value to other researchers or even commercially.
  31. 35.
  32. 36. Open Innovation
  33. 37. InnoCentive
  34. 38. The Polymath Blog
  35. 39. /
  36. 40. The Long Tail Principle There is probably someone in the general population who can help you solve a problem
  37. 41. Long Tail Data
  38. 42. One Billion Minds
  39. 43. Where Will You Play? <ul><li>A reader of open journals ? </li></ul><ul><li>Amateur scientist / open data ? </li></ul><ul><li>Citizen scientist / community of practice? </li></ul><ul><li>Problem poser looking for a solution ? </li></ul><ul><li>Solutions provider to a posted problem? </li></ul>We live in really amazing times. There are opportunities to participate in science, scientific communities, and provide value to focused disciplines. We can do science together!
  40. 44. References / Websites <ul><li>Wikinomics </li></ul><ul><li>Scientific American </li></ul><ul><li>IBM Many Eyes </li></ul><ul><li>Science 2.0 Blog </li></ul><ul><li>Gapminder </li></ul><ul><li>23andMe </li></ul><ul><li>DIY Genomics </li></ul><ul><li>CureTogether </li></ul><ul><li>Research Gate </li></ul><ul><li>OpenWetWare </li></ul><ul><li>JoVE </li></ul><ul><li>Sci-Mate </li></ul><ul><li>PolyMath Blog </li></ul><ul><li>Zooniverse </li></ul><ul><li>Innocentive </li></ul><ul><li>The Long Tail </li></ul><ul><li>One Billion Minds </li></ul><ul><li>Wikipedia Sci. 2.0 </li></ul>