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Trends in the evolution of the scientific ecosystem

Trends in the evolution of the scientific ecosystem. Gaëll Mainguy Gaell.mainguy@institut.veolia.org.

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Trends in the evolution of the scientific ecosystem

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  1. Trends in the evolution of the scientific ecosystem Gaëll Mainguy Gaell.mainguy@institut.veolia.org

  2. « Science was an unforeseen consequence of printing, since printing enabled the increase in information flow that allowed many brains to connect and collaborate in order to produce knowledge and to define new means for producing knowledge. » - ElisabethEisenstein

  3. Scientific knowledge grew million-folds in 300 years The number of scientific journals is doubling every 15 years

  4. Blind monks examining an elephant by Itcho Hanabusa United States Library of Congress

  5. Monks stop arguing, start listening to each other and collaborate to "see" the full elephant. “We have to remember that what we observe is not nature in itself, but nature exposed to our method of questioning.” -Werner Heisenberg

  6. In Holistic approach Interdisciplinary dialogue Access to information New media to make / report science

  7. Emerging global issues are best addressed from a plurality of perspectives and epistemologies S.A.P.I.E.N.S. Positioning of S.A.P.I.EN.S Level of complexity and accessibility Social Sciences Environmental Sciences Complexity cursor: High level, but accessible Economic Sciences Urban Sciences Scientific landscape 2.5 million articles per year

  8. S.A.P.I.E.N.S. Sharing knowledge, preparing for the future http://www.sapiens-journal.org

  9. Hans Moravec, 1998, J Evol Tech, vol 1

  10. « A smartphone today has more computing power than all NASA did when it send a man to the moon in 1969 » Otellini, Intel CEO

  11. Going public Interactions Credits: Cameron Neylon

  12. Open Science: Online collaboration market to exchange questions and ideas Interactions Credits: Cameron Neylon

  13. 2009 2010

  14. Key recommendations • implement open science principles for publications, research data, software, educational resources and research infrastructures • promote open science platforms, making research results discoverable and re-usable • Collaborate with global networks and other science organisations to develop world-wide, interoperable data centres • Academic assessment and reward systems should see merit in participation in the culture of sharing, in enabling online collaboration and reproducible e-science.

  15. A step further …

  16. A collaborative compute space that allows scientists to share and analyze data together

  17. Finding and using relevant data is wasteful and time consuming • Most of the people you need to work with don’t work with you • You don’t know who can actually help you solve your problem • Scientific computing requires expensive infrastructures that are difficult to maintain Cloud based data store Massive online collaboration

  18. Fold-It, Zoran Popovics 2010. Source: Nature

  19. Citizen Science in Ecology • Members of the public have been actively participating in scientific research for centuries • China: outbreaks of locusts for at least 3500 years • Substantial contributions to our current understanding of ecology and some of the most important historical datasets and museum collections • Ecologists are increasingly turning to lesser-known datasets collected by citizen scientists to understand long-term changes in the environment and their causes and consequences A. Miller-Rushing et al. Front Ecol Environ 2012

  20. Newman et al. Front Ecol Environ 2012

  21. C-science Citizen Contributory Co-created Community Crowdsourced Crowdfunded Collaborative Credits: Muki Haklay

  22. « Knowledge is (more) useful and used when it is jointly produced by participants in the decision process and experts with technical and domain knowledge. » Source: Packard Foundation

  23. « Building better models of disease together » Fanconi Anemia: To help guide new research efforts Patients, Families, Caregivers, Scientists, Founders

  24. The future scientific ecosystem • Hypercomplex • Data intensive • Competitive • Interconnected • Collaborative • Inclusive / embedded • Open access • Open source • User oriented

  25. Gaëll Mainguy Gaell.mainguy@institut.veolia.org Thank you for your attention S.A.P.I.EN.S http://www.sapiens-journal.org

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