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Computation of Things - Justyna Zander, Pieter Mosterman - H+ Summit @ Harvard
This document discusses the Computation of Things (CoTh), which is described as the next-generation prediction engine. CoTh aims to increase sustainable well-being and happiness through increasing awareness in all aspects of life. It takes an approach based on participatory sensing, assessment of various criteria, intelligent modeling and simulation for sustainability, and producing forecasts and predictions to aid in decision making. CoTh is envisioned as a future personalized virtual advisor.
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Computation of Things - Justyna Zander, Pieter Mosterman - H+ Summit @ Harvard
- 1. Computation of Things … the next-generation prediction engine … Justyna Zander, Dr. Pieter Mosterman, Prof. Dr. 2010 Copyrights reserved.
- 2. 1 <why> Computation of Things … the next-generation prediction engine … 2
- 3. Started with the Sustainability Science 3
- 4. Changing Disaster Patterns Weather-related disasters doubled over the past 2 decades Increase small- and medium-scale disasters More uncertainties, more impact Source: CRED 2008 Report 4
- 5. Happiness Net byCountry 5
- 6. Happiness Net byCountry Iceland 94 % USA 84 % Bulgaria -24 % 6
- 7. Social Network Influenceon Happiness 7
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- 9. Citizen Science 9
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- 11. Personalized Human-centered Computation 11
- 12. 2 <what> Computation of Things … the next-generation prediction engine … 12
- 13. Computation of Things– Mission and Vision Mission: increase sustainable wellbeing and happiness Vision: increase the awareness in any possible aspect of life based on: 13
- 14. Computation of Things– Mission and Vision Mission: increase sustainable wellbeing and happiness Vision: increase the awareness in any possible aspect of life based on: 14
- 15. Computation of Things– Mission and Vision Mission: increase sustainable wellbeing and happiness Vision: increase the awareness in any possible aspect of life based on: 15
- 16. Computation of Things– Mission and Vision Mission: increase sustainable wellbeing and happiness Vision: increase the awareness in any possible aspect of life based on: Common Computation Framework 16
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- 19. From Internet ofThings to Computation of Things Wisdom Knowledge Information Data Internet of Things 19
- 20. From Internet ofThings to Computation of Things Forecasting Wisdom Wisdom Knowledge Knowledge Information Information Data Data Internet of Computation Things of Things (CoTh) 20
- 21. CoTh – aFuture Personalized Virtual Advisor Participatory Sensing (HLoop) 21
- 22. CoTh – aFuture Personalized Virtual Advisor Participatory Sensing (HLoop) Assessment CoTh criteria, Intelligent Modeling Geolocation, Physical and Simulation Systems, Patterns, Infrastructure, etc for Sustainability User User ANALYSIS: Forecast and Prediction Interface 22
- 23. CoTh – aFuture Personalized Virtual Advisor Participatory Sensing (HLoop) Assessment CoTh criteria, Intelligent Modeling Geolocation, Physical and Simulation Systems, Patterns, Infrastructure, etc for Sustainability User User ANALYSIS: Forecast and Prediction Interface SYNTHESIS: Decision making SYNTHESIS: Decision‐making 23
- 24. CoTh – aFuture Personalized Virtual Advisor Participatory Sensing (HLoop) Assessment CoTh criteria, Intelligent Modeling Geolocation, Physical and Simulation Systems, Patterns, Infrastructure, etc for Sustainability User User ANALYSIS: Forecast and Prediction Interface ? SYNTHESIS: Decision making SYNTHESIS: Decision‐making 24
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- 27. 3 <how> Computation of Things … the next-generation prediction engine … 27
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- 29. Imagine rigorously validating 6.8 billion models! 29
- 30. CoTh Engine Models Physical model 30
- 31. CoTh Engine Models Assumptions Physical model Theoretical model 31
- 32. CoTh Engine Models Assumptions Physical model Theoretical model 32
- 33. CoTh Engine Models Assumptions Approximations A i ti Physical model Theoretical model Computational model computational p model 33
- 34. CoTh Engine Models Assumptions Approximations A i ti Correctness Physical model Theoretical model Computational model computational p model Numerical integration Solver model 34
- 35. CoTh Engine Models Assumptions Approximations A i ti Correctness Physical model Theoretical model Computational model computational p model Numerical integration Solver model 35
- 36. 4 <process> Get aware- Accept A t Decide D id Transform T f ness 36
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- 39. Acknowledgements pmosterman@yahoo.com justyna.zander@gmail.com http://msdl.cs.mcgill.ca/people/mosterman/ http://sites.google.com/site/justynazander 39
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