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Participative tools emerging at the CRI

Participative tools emerging at the CRI

Learning, teaching and doing research in a connected world.

visit: http://www.cri-paris.org/

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Participative tools emerging at the CRI

  1. 1. PARTICIPATIVE TOOLS EMERGING AT THE CRI LEARNING, TEACHING, AND DOING RESEARCH IN A CONNECTED WORLD Amodsen Chotia Institut Innovant de Formation par la Recherche Sorbonne Paris Cité Université Paris Descartes
  2. 2. General context Bring new tools to traditionnal education, encourage lifelong learning Engage learners Change scale Develop under represented skills Online course Experiment new postures Reinforce creativity, engagement and motivation Frugal technology
  3. 3. Highlighted tools Jesse Himmelstein Mikael Couzic Raphael Goujet Dor Garbash And a long list of developpers +80 Tam Kien Duong Christos Tsiapalis Dmitry Paranyushkin Pauline Gourlet Uli Steiner Dusan Misevic Brogniart Benjamin Collet Pierre Goujet Raphael Leflour Yann Leung Armella Shomar Helena
  4. 4. Tools to annotate and organize information
  5. 5. How does it work?
  6. 6. Overview
  7. 7. Overview
  8. 8. Features for self-organization
  9. 9. Connectivist online course
  10. 10. Future use cases http://www.rhizi.org/
  11. 11. WeKeyPedia Tool for collective consciousness
  12. 12. Too rich to fit all levels
  13. 13. One path?
  14. 14. Ideal paths
  15. 15. Adapted difficulty Change the difficulty level while reading Some sections may not exist in other versions
  16. 16. Analyzing keywords and building paths
  17. 17. Tools for crowdsourcing Lowering the barrier AgeGuess How old do you look like?
  18. 18. Redwire Take part of one game, mix it with another one, and then modify it to make a new one New game engine, with different goals Made for remixing games and mashups Electronics-inspired visual programming Excellent debugging and live coding tools All done in the browser
  19. 19. Why a new game engine? We have: A kabillion libraries A billion game engines A million programming languages Classes Unit tests Entity Component Systems Blocks Distributed Version Control Virtual machines Functions End to end tests Metaclasses Interleaving -> incomprehension Lessons Avoid tangling Leave data alone Sane abstractions for state and time Rich Hickey "Simple made Easy"
  20. 20. Inspiration Breadboard Connect anything Measure anywhere Replace everything
  21. 21. Putting order Chip <pin> <pin> Chip <pin> <pin> Memory <data> <data> <data> 1. Memory -> Chips 2. Chips compute 3. Chips -> Memory constant in out
  22. 22. IO Chip <pin> <pin> Memory <data> <data> <data> 1. IO & Memory -> Chips 2. Chips compute 3. Chips -> IO & Memory IO mouse keyboard graphics
  23. 23. Collaboration Move speed position Memory speed position IO mouse keyboard graphics Draw position shape
  24. 24. Chips Emitter SwitchProcessor Splitter
  25. 25. Examples Archimedes' Escape Leap Weizmann Institute Redwire.io
  26. 26. Cool debugging/teaching tools “What would have happened” “Mute” chips Find chips from memory or IO Test each chip in isolation Brett Victor ”Inventing on Principle” github.com/CyberCRI/RedWire @RedWireIO jesse.himmelstein@parisdescartes.fr +JesseHimmelstein @himmelattack
  27. 27. AgeGuess Crowdsourcing human aging research What is AgeGuess? AgeGuess is a simple on-line game in which you can post your photos, have other people guess your age, as well as guess the age of other users. The science behind AgeGuess AgeGuess investigates the differences between perceived age (how old you look) and chronological age (your age) as a potential aging biomarker. AgeGuess
  28. 28. Open questions: Is the guessed age a predictor for survivial? Heritablility of the perceived vs chronological age? Does age guessing depends on…? … AgeGuess Crowdsourcing human aging research Dusan Misevic Dule@alife.org Ulrich Steiner Usteiner@biology.sdu.dk AgeGuess
  29. 29. Gaming for education and research International game competition for education and research
  30. 30. RBSPromoter TerminatorGene WHEN? WHAT?HOW MUCH? End 4 types of ‘Briobricks’ Genetic device Cellular ability
  31. 31. Gameplay loops EASY Play with ‘devices’
  32. 32. Gameplay loops MEDIUM Play with ‘BioBricks’ RFP ‘Biobrick’ picked up: Gene to produce the Red Fluorescent Protein Craft new device
  33. 33. Gameplay loops HARD Create synergies between ‘devices’ RF P TetR AmpR LacIpTet Craft complex devices to create genetic networks Bi-stable switch between RFP and Ampicillin Resistance IPTG aTc
  34. 34. Global scheme Interest people with games, entry level citizen science projet, social questions, debates Teach them (Online course, University degrees, Clubs, informal meetings) Incite them to ask a question and develop ideas to anwer them with a research methodology (Citizen science, entrepreneurs challenges, competition, diploma projects) Implement (Regular labs, open prototyping laboratory) Build up a community to scale up and spin-off Repeat Perfect crapiness Perfect fit Perfect for research

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