A Vision on Collaborative                                 Computation of Things                              for Personali...
Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Colla...
Science Interdisciplinarity
One Scientific Discipline… still Stable and Quiet 4                Dr. Justyna Zander - MBD for CPS
What if Science Disciplines       start interacting…5      … toDr. Justyna Zander -Big Data             create MBD for CPS
Science Disciplines Interactto create Emerging Behavior… 6               Dr. Justyna Zander - MBD for CPS
… and Dynamic BehaviorMovieSystemof the
Collaborative Analysis                                     Lifestyle                     Geolocation     Interests        ...
Computation, Modeling and Simulationto the Rescue9
Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Colla...
Science Democratization
12
Computation of Things Mission: increase sustainable wellbeing and happiness Vision: increase personal awareness in any pos...
A Future Personalized Virtual Advisor    ?                     Participatory Sensing                  Assessment          ...
Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Colla...
System Analysis
What should I do to attain          in 2 years from now         a cyclist performanceof Armstrong’s performance from 2004?
IndividualYOU!
Group Dynamics
Simulation findings The cyclist who finished second in 2004 was reported to be 5 cm taller than Lance Armstrong. If the bo...
Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Colla...
Collaborative Technical Engine
Agenda https://www.brainshark.com/innocentive/vu?pi=zGtzus4Gsz4IX 8z0&dm=5&tb=0&bg=707070 http://www.youtube.com/watch?v=G...
Technical Engine Vision                                                           Engine                    Engine Infrast...
Simulation Analyst Expert    Domain ExpertProcess Analyst Expert                                        Mass-Scale User Bu...
A Merge of Different Approaches   Modeling and Simulation                        Participatory Sensing   Ubiquitous Comput...
Modeling and Simulationas a Collaboration and Technology Core
Multi-disciplines
Engine Architecture and Usage Process                Problems      Users                Collection   Collection           ...
Engine Architecture and Usage Process
Technology Management System                                 Platform Design                                         Views...
Technology Management System                                                  Collaborative Knowledge Management System   ...
Technology Management System                                                  Collaborative Knowledge Management System   ...
Technology Management System                                                  Collaborative Knowledge Management System   ...
What should I do to attain                                                                                                ...
What should I do to attain                                                                                               i...
Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Colla...
Simulation Engine Semantics
State of the Past           Computational Framework in the Past                                      Execution            ...
State of the Art           Computational Framework Nowadays                             Simulation                 Model  ...
State of the Future                                                 Future                                         Computa...
A Computational Framework                                                                Analysis & Synthesis             ...
Declarative Specification of the Solver
Non-Monotonous Time Notion in Solver       time                                   rejected time step                    ac...
Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Colla...
Continuous Awareness
A vision on collaborative computation of things for personalized analyses
A vision on collaborative computation of things for personalized analyses
A vision on collaborative computation of things for personalized analyses
A vision on collaborative computation of things for personalized analyses
A vision on collaborative computation of things for personalized analyses
A vision on collaborative computation of things for personalized analyses
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A vision on collaborative computation of things for personalized analyses

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Collaborative Modeling & Simulation - CoMetS'12.

Please see http://www.sel.uniroma2.it/comets12/ for further details.

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A vision on collaborative computation of things for personalized analyses

  1. 1. A Vision on Collaborative Computation of Things for Personalized Analyses Dr. Eng. Sc. Justyna Zander SIMULATEDWAY, Harvard UniversityCopyrights reserved. © 2012
  2. 2. Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Collaborative Technical Engine Simulation Engine Semantics
  3. 3. Science Interdisciplinarity
  4. 4. One Scientific Discipline… still Stable and Quiet 4 Dr. Justyna Zander - MBD for CPS
  5. 5. What if Science Disciplines start interacting…5 … toDr. Justyna Zander -Big Data create MBD for CPS
  6. 6. Science Disciplines Interactto create Emerging Behavior… 6 Dr. Justyna Zander - MBD for CPS
  7. 7. … and Dynamic BehaviorMovieSystemof the
  8. 8. Collaborative Analysis Lifestyle Geolocation Interests Travels Social Pollution Network Nutrition Body Habits Building Information for the Benefit of an Individual Health Emotional Record Intelligence Brain Education Capacity Knowledge Genetics Wisdom DNA The Personalized Mirror of Human Life
  9. 9. Computation, Modeling and Simulationto the Rescue9
  10. 10. Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Collaborative Technical Engine Simulation Engine Semantics
  11. 11. Science Democratization
  12. 12. 12
  13. 13. Computation of Things Mission: increase sustainable wellbeing and happiness Vision: increase personal awareness in any possible aspect of life based on:
  14. 14. A Future Personalized Virtual Advisor ? Participatory Sensing Assessment criteria, CoTh Intelligent Modeling Geolocation, Physical Systems, and Simulation Infrastructure, etc Patterns, for Sustainability User ANALYSIS Interface ! SYNTHESIS: Forecast and Prediction
  15. 15. Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Collaborative Technical Engine Simulation Engine Semantics
  16. 16. System Analysis
  17. 17. What should I do to attain in 2 years from now a cyclist performanceof Armstrong’s performance from 2004?
  18. 18. IndividualYOU!
  19. 19. Group Dynamics
  20. 20. Simulation findings The cyclist who finished second in 2004 was reported to be 5 cm taller than Lance Armstrong. If the body height of the virtual cyclist is increased from 179 cm to 184 cm, the model simulation predicts that the time needed for the time trial becomes about 3 s longer. This illustrates that small differences in body size can have significant impact on athletic performance.
  21. 21. Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Collaborative Technical Engine Simulation Engine Semantics
  22. 22. Collaborative Technical Engine
  23. 23. Agenda https://www.brainshark.com/innocentive/vu?pi=zGtzus4Gsz4IX 8z0&dm=5&tb=0&bg=707070 http://www.youtube.com/watch?v=G8nlFN17D8E&feature=rel ated
  24. 24. Technical Engine Vision Engine Engine InfrastructurePrediction Query and Architecture Crowd-sourcing M&S Collecting Transformations Analyses Predictions
  25. 25. Simulation Analyst Expert Domain ExpertProcess Analyst Expert Mass-Scale User Business Analyst Expert Citizen Analyst Simulation Tool Expert Infrastructure Expert
  26. 26. A Merge of Different Approaches Modeling and Simulation Participatory Sensing Ubiquitous Computing Computational Thinking Internet of Things Computation Engineering Wisdom of Crowds Reciprocatory Sensing (AI) Human in the Loop Engineering Sustainable Development and Human Awareness
  27. 27. Modeling and Simulationas a Collaboration and Technology Core
  28. 28. Multi-disciplines
  29. 29. Engine Architecture and Usage Process Problems Users Collection Collection Virtual instance on a User’s Device 1 Technology 1 Models Cloud Collection Virtual instance on a Network Technology 2 User’s Device 2 Big Data Technology 3 Collection Virtual instance on a Transfor- Transfor Prediction User’s Device 3 mations Queries Collection Collection
  30. 30. Engine Architecture and Usage Process
  31. 31. Technology Management System Platform Design Views Technology Management Process IT Resources Cloud-based Tools Technical Execution Guidelines for Users
  32. 32. Technology Management System Collaborative Knowledge Management System User’s Prediction Query Platform Design Views Technology Management Process Collaborative Platform Objectives IT Resources Simulation Problem Solution Cloud-based Tools Expertise Management Process M&S Project Definition Cross-sections Technical Execution Big Data Existing Big Data Models Available Models Guidelines for Users People People Transformations Guidelines for Users Predictions
  33. 33. Technology Management System Collaborative Knowledge Management System User’s Prediction Query Platform Design Views Technology Management Process Collaborative Platform Objectives IT Resources Simulation Problem Solution Cloud-based Tools Expertise Management Process M&S Project Definition Cross-sections Technical Execution Big Data Existing Big Data Models Available Models Guidelines for Users People People Transformations Guidelines for Users Predictions
  34. 34. Technology Management System Collaborative Knowledge Management System User’s Prediction Query Platform Design Views Technology Management Process Collaborative Platform Objectives IT Resources What should I do to attain Simulation Problem Solution Cloud-based Tools Expertise Management Process in 2 years from now M&S Project Definition Cross-sections Technical Execution a cyclist performance of Armstrong’s performance from 2004? Data Big Data Existing Big Models Available Models Guidelines for Users People People Transformations Guidelines for Users Predictions
  35. 35. What should I do to attain in 2 years from now User’scyclist performance a Prediction Query Platform Design of Armstrong’s performance from 2004? ViewsTechnology Management Process Collaborative Platform Objectives IT Resources Simulation Problem Cyclist performance Solution Cloud-based Tools Expertise Management Process J. Ullrich M&S Project Definition Cross-sections Technical Execution Myself – statistics Statistics in the Big L. Armstrong Data Existing Big Data Web Brain capacity Models Body and muscle of the Biomechanics, Biochemistry Performance Group dynamics Available the Web Models in Models Disease track Geography race Simulation Guidelines for Users People community People Transformations Guidelines for Users Predictions
  36. 36. What should I do to attain in 2 years from now User’scyclist performance a Prediction Query Platform Design of Armstrong’s performance from 2004? ViewsTechnology Management Process Collaborative Platform Objectives IT Resources Simulation Problem Cyclist performance Solution Cloud-based Tools Expertise Management Process M&S Project Definition Cross-sections Technical Execution L.Big–Data Statistics in the Armstrong MyselfUllrich J. statistics Existing Big Data Web Geography of the Models Body and muscle Biomechanics, Biochemistry Performance Group dynamics Brain capacity Disease track race Available the Web Models in Models Simulation Guidelines for Users People community People Transformations Guidelines for Users Predictions
  37. 37. Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Collaborative Technical Engine Simulation Engine Semantics
  38. 38. Simulation Engine Semantics
  39. 39. State of the Past Computational Framework in the Past Execution System Model System Engine System Execution Model Engine Implemen- Implemen- tation tation
  40. 40. State of the Art Computational Framework Nowadays Simulation Model Solver Model System Model Implemen- Solver Implemen- Specification tation tation
  41. 41. State of the Future Future Computational Framework Solver Model Model Specification Specification Verification and Validation Verification and Validation Simulation Runtime Interface Model Solver Model Implemen- Solver Implemen- Model Implemen- Solver Implemen- tation tation Implemen- tation Implemen- tation tation tation Simulation
  42. 42. A Computational Framework Analysis & Synthesis Analysis, Synthesis, & Execution Computational Framework User MODELING MODELING MODELING SimCI DECLARATIVE DEFINITION SPECIFICATION SimRI OPERATIONAL DEFINITION IMPLEMENTATION ExPM TECHNOLOGY PlatformLegend:SimCI – Simulation Control InterfaceSimRI – Simulation Runtime InterfaceExPM– Execution Platform Mapping
  43. 43. Declarative Specification of the Solver
  44. 44. Non-Monotonous Time Notion in Solver time rejected time step accepted time stepstep size computational evaluation index
  45. 45. Agenda Science and Interdisciplinarity Democratizing Computation, Modeling and Simulation System Analysis Case Study Collaborative Technical Engine Simulation Engine Semantics
  46. 46. Continuous Awareness

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