grand challenges killer apps/moon shot sna iv.1. killer app-- society epidemology (pandemic):...
DESCRIPTION
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.TRANSCRIPT
Grand ChallengesGrand ChallengesKiller Apps/Moon shotKiller Apps/Moon shot
SNA IV.1SNA IV.1
Killer app-- societyKiller app-- society• Epidemology (pandemic): sensors for Epidemology (pandemic): sensors for
location, interactions, healthlocation, interactions, health• Distributed governance: multiple Distributed governance: multiple
agents responsible for collective agents responsible for collective outcomes.outcomes.
• Organizational analysis/creativity in Organizational analysis/creativity in organizations: merging and studying organizations: merging and studying massive amount of digitized information massive amount of digitized information within orgs, much of which is relational.within orgs, much of which is relational.
Epidemeology (pandemics)Epidemeology (pandemics)• Sensors (e.g., cell phones) to understand Sensors (e.g., cell phones) to understand
movement and interactions of people.movement and interactions of people.• Data from hospitals, schools.Data from hospitals, schools.• How do interactions change as a result of How do interactions change as a result of
state of person?state of person?• How do they change (and how does How do they change (and how does
transmission probability change) based on transmission probability change) based on interventions?interventions?
• Massive simulations.Massive simulations.• Relevant data are enormous, distributed– Relevant data are enormous, distributed–
perhaps with real time needsperhaps with real time needsrequiring CI.requiring CI.
Distributed governanceDistributed governance• Emergency response– ex post reconstruction Emergency response– ex post reconstruction
and diagnosis. Who communicated with and diagnosis. Who communicated with whom? (as compared to who should have)whom? (as compared to who should have)
• Knowledge communities (ex of smoking Knowledge communities (ex of smoking research)research)
• Empower peer to peer networks, create trust, Empower peer to peer networks, create trust, matching systemmatching system
• SN theory helps inform interventions.SN theory helps inform interventions.• CI both enables distributed governance, CI both enables distributed governance,
serves as instrument, and as mechanism for serves as instrument, and as mechanism for intervention (see fig)intervention (see fig)
Online resource/
communitySNA research
Prescription
Expt Interventions
Data
Killer app-- theoryKiller app-- theory
• Virtual worldsVirtual worlds• ABMABM• Systemic level/Multilevel analysisSystemic level/Multilevel analysis• ““Global” simulations of conflictGlobal” simulations of conflict
Virtual worldsVirtual worlds• Virtual worlds: large online worlds in Virtual worlds: large online worlds in
which one can manipulate which one can manipulate interactions, environment.interactions, environment.
• Lack of rigorous (esp expt) research Lack of rigorous (esp expt) research on large scale collectives.on large scale collectives.
Agent Based ModelingAgent Based Modeling• Inform assumptions about agent Inform assumptions about agent
level behavior..level behavior..• Validation of models– peg to multiple Validation of models– peg to multiple
hypotheses re spread, tipping points, hypotheses re spread, tipping points, differences in local environments.differences in local environments.
Systems level/multi levelSystems level/multi level• Little work on systemsLittle work on systems• Could collect data on many systems Could collect data on many systems
(or at least subsystems), examine (or at least subsystems), examine both individual and system level both individual and system level outcomes.outcomes.