Computation of Things

                       … the next-generation prediction engine …

                                 ...
1 <why>
    Computation of Things
    … the next-generation prediction engine …




2
Started with
    the Sustainability Science




3
Changing Disaster Patterns

       Weather-related disasters doubled over the past 2 decades
       Increase small- and ...
Happiness Net by Country




5
Happiness Net by Country




Iceland     94 %
USA        84 %
Bulgaria   -24 %


  6
Social Network Influence on Happiness




7
YOU


8
Citizen
    Science

9
10
Personalized
     Human-centered
      Computation
11
2 <what>
     Computation of Things
     … the next-generation prediction engine …




12
Computation of Things – Mission and Vision

     Mission:
      increase sustainable wellbeing and happiness

     Vision...
Computation of Things – Mission and Vision

     Mission:
      increase sustainable wellbeing and happiness

     Vision...
Computation of Things – Mission and Vision

     Mission:
      increase sustainable wellbeing and happiness

     Vision...
Computation of Things – Mission and Vision

     Mission:
      increase sustainable wellbeing and happiness

     Vision...
17
18
From Internet of Things to Computation of Things




                Wisdom

      Knowledge

      Information

         ...
From Internet of Things to Computation of Things



                                               Forecasting
           ...
CoTh – a Future Personalized Virtual Advisor




         Participatory Sensing (HLoop)




21
CoTh – a Future Personalized Virtual Advisor




           Participatory Sensing (HLoop)

          Assessment           ...
CoTh – a Future Personalized Virtual Advisor




           Participatory Sensing (HLoop)

          Assessment           ...
CoTh – a Future Personalized Virtual Advisor




               Participatory Sensing (HLoop)

              Assessment   ...
25
26
3 <how>
     Computation of Things
     … the next-generation prediction engine …




27
28
Imagine rigorously validating

          6.8 billion models!




29
CoTh Engine
     Models




      Physical model




30
CoTh Engine
      Models
     Assumptions



        Physical model   Theoretical model




31
CoTh Engine
      Models
     Assumptions



        Physical model   Theoretical model




32
CoTh Engine
             Models
           Assumptions
           Approximations
           A     i ti



     Physical mo...
CoTh Engine
             Models
           Assumptions
           Approximations
           A      i ti
              Corr...
CoTh Engine
             Models
           Assumptions
           Approximations
           A      i ti
              Corr...
4 <process>
      Get
     aware-   Accept
              A    t   Decide
                       D id     Transform
       ...
Decide Wisely




37
Decide Wisely




38
Acknowledgements




 pmosterman@yahoo.com                                         justyna.zander@gmail.com
 http://msdl.c...
40
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Computation of Things - Justyna Zander, Pieter Mosterman - H+ Summit @ Harvard

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Justyna Zander
Harvard University
Fraunhofer Institute FOKUS
Computation of Things:
Challenges and Solutions for the Needs of Humanity
Presented with Pieter J. Mosterman


The current exponential growth of technologies is providing novel, frequently unimaginable ways of leveraging its applications for human needs. Ubiquitous communication capabilities allow a redefinition of an individual person as one who is becoming an integrated part of the virtual world and vice versa. The challenge of sustainable development of those trends from the perspective of a single human and humanity as such remains unsolved.

In the presented vision various aspects of the sustainability (e.g., the relation between a person’s quality of life, climate change, and social awareness) are highlighted to explore and share how an individual impacts and is impacted by the surrounding. Ultimately a technological solution called Computation of Things (CoTh) is outlined. It allows for a quick and reliable assessment of people’s possible decision paths and how this affects sustainable development on a local and global scale. Forecasting life-path alternatives for a human based on its geographic position (including pollution level, energy usage), activity patterns (including nutrition habits, lifestyle, travelling load, family status, circle of friends, social network, or virtual life), and state patterns (including individual’s DNA, current health conditions, musculature) is targeted.

CoTh enables an understanding of the individual self and its surrounding based on the micro-scale information that combines with macro-scale data to enable prediction of different life scenarios. It is defined as an abundant supply of predictive computation capabilities of high performance and large-scale applicability with high accuracy and quality so as to allow for providing humanity’s physical, physiological, mental, and spiritual needs in a profound and as of yet unfathomed manner.

Its core is strongly connoted with physical systems engineering. Thus, a parallelly-conducted research on the notion of computation deploys computational models as the primary representations of physics, instead of attempting to approximate first principles ever closer. A theory of treating models as dynamic systems themselves follows. This evokes the promise for a fundamental breakthrough in terms of computational semantics the significance of which becomes paramount as far as the faithfulness of the predictions is considered.

Dr. Justyna Zander is a Postdoctoral Research Scientist at Harvard University (Harvard Humanitarian Initiative) in Cambridge, MA, USA (since 2009) and Project Manager at the Fraunhofer Institute for Open Communication Systems in Berlin, Germany (since 2004). She holds Doctorate of Engineering Science (2008) and Master of Science (2005), both in the fields of Computer Science and Electrical Engineering from Technical University Berlin, Germany, Bachelor of Science (2004) in Computer Science, and Bachelor of Science (2003) in Environmental Protection and Management from Gdansk University of Technology, Poland.

She graduated from the Singularity University, Mountain View, CA, USA in 2009 where she then was a Teaching Fellow in 2010. Before she was a visiting scholar at the University of California in San Diego, CA, USA in 2007, and a visiting researcher at The MathWorks in Natick, MA, USA in 2008. Her research interests include heterogeneous system development, design, simulation, computation, humanities, and future studies.

For her scientific efforts Dr. Zander received grants and scholarships from such institutions as Polish Prime Ministry (1999-2000), Polish Ministry of Education and Sport (2001–2004), German Academic Exchange Service (2002), European Union (2003-2004), Hertie Foundation (2004-2005), IFIP TC6 (2005), German National Academic Foundation Grant (2005-2008), IEEE (2006), Siemens (2007), Metodos y Tecnologia (2008), Singularit

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Computation of Things - Justyna Zander, Pieter Mosterman - H+ Summit @ Harvard

  1. 1. Computation of Things … the next-generation prediction engine … Justyna Zander, Dr. Pieter Mosterman, Prof. Dr. 2010 Copyrights reserved.
  2. 2. 1 <why> Computation of Things … the next-generation prediction engine … 2
  3. 3. Started with the Sustainability Science 3
  4. 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. 5. Happiness Net by Country 5
  6. 6. Happiness Net by Country Iceland 94 % USA 84 % Bulgaria -24 % 6
  7. 7. Social Network Influence on Happiness 7
  8. 8. YOU 8
  9. 9. Citizen Science 9
  10. 10. 10
  11. 11. Personalized Human-centered Computation 11
  12. 12. 2 <what> Computation of Things … the next-generation prediction engine … 12
  13. 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. 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. 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. 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
  17. 17. 17
  18. 18. 18
  19. 19. From Internet of Things to Computation of Things Wisdom Knowledge Information Data Internet of Things 19
  20. 20. From Internet of Things to Computation of Things Forecasting Wisdom Wisdom Knowledge Knowledge Information Information Data Data Internet of Computation Things of Things (CoTh) 20
  21. 21. CoTh – a Future Personalized Virtual Advisor Participatory Sensing (HLoop) 21
  22. 22. CoTh – a Future 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. 23. CoTh – a Future 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. 24. CoTh – a Future 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
  25. 25. 25
  26. 26. 26
  27. 27. 3 <how> Computation of Things … the next-generation prediction engine … 27
  28. 28. 28
  29. 29. Imagine rigorously validating 6.8 billion models! 29
  30. 30. CoTh Engine Models Physical model 30
  31. 31. CoTh Engine Models Assumptions Physical model Theoretical model 31
  32. 32. CoTh Engine Models Assumptions Physical model Theoretical model 32
  33. 33. CoTh Engine Models Assumptions Approximations A i ti Physical model Theoretical model Computational model computational p model 33
  34. 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. 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. 36. 4 <process> Get aware- Accept A t Decide D id Transform T f ness 36
  37. 37. Decide Wisely 37
  38. 38. Decide Wisely 38
  39. 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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