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Grand Challenges Killer Apps/Moon shot SNA IV.1. Killer app-- society Epidemology (pandemic): sensors for location, interactions, health Epidemology (pandemic):

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Presentation on theme: "Grand Challenges Killer Apps/Moon shot SNA IV.1. Killer app-- society Epidemology (pandemic): sensors for location, interactions, health Epidemology (pandemic):"— Presentation transcript:

1 Grand Challenges Killer Apps/Moon shot SNA IV.1

2 Killer app-- society Epidemology (pandemic): sensors for location, interactions, health Epidemology (pandemic): sensors for location, interactions, health Distributed governance: multiple agents responsible for collective outcomes. Distributed governance: multiple agents responsible for collective outcomes. Organizational analysis/creativity in organizations: merging and studying massive amount of digitized information within orgs, much of which is relational. Organizational analysis/creativity in organizations: merging and studying massive amount of digitized information within orgs, much of which is relational.

3 Epidemeology (pandemics) Sensors (e.g., cell phones) to understand movement and interactions of people. Sensors (e.g., cell phones) to understand movement and interactions of people. Data from hospitals, schools. Data from hospitals, schools. How do interactions change as a result of state of person? How do interactions change as a result of state of person? How do they change (and how does transmission probability change) based on interventions? How do they change (and how does transmission probability change) based on interventions? Massive simulations. Massive simulations. Relevant data are enormous, distributed– perhaps with real time needs  requiring CI. Relevant data are enormous, distributed– perhaps with real time needs  requiring CI.

4 Distributed governance Emergency response– ex post reconstruction and diagnosis. Who communicated with whom? (as compared to who should have) Emergency response– ex post reconstruction and diagnosis. Who communicated with whom? (as compared to who should have) Knowledge communities (ex of smoking research) Knowledge communities (ex of smoking research) Empower peer to peer networks, create trust, matching system Empower peer to peer networks, create trust, matching system SN theory helps inform interventions. SN theory helps inform interventions. CI both enables distributed governance, serves as instrument, and as mechanism for intervention (see fig) CI both enables distributed governance, serves as instrument, and as mechanism for intervention (see fig)

5 Online resource/ community SNA research Prescription Expt Interventions Data

6 Killer app-- theory Virtual worlds Virtual worlds ABM ABM Systemic level/Multilevel analysis Systemic level/Multilevel analysis “Global” simulations of conflict “Global” simulations of conflict

7 Virtual worlds Virtual worlds: large online worlds in which one can manipulate interactions, environment. Virtual worlds: large online worlds in which one can manipulate interactions, environment. Lack of rigorous (esp expt) research on large scale collectives. Lack of rigorous (esp expt) research on large scale collectives.

8 Agent Based Modeling Inform assumptions about agent level behavior.. Inform assumptions about agent level behavior.. Validation of models– peg to multiple hypotheses re spread, tipping points, differences in local environments. Validation of models– peg to multiple hypotheses re spread, tipping points, differences in local environments.

9 Systems level/multi level Little work on systems Little work on systems Could collect data on many systems (or at least subsystems), examine both individual and system level outcomes. Could collect data on many systems (or at least subsystems), examine both individual and system level outcomes.


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