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Grand Scientific & Societal Challenges

Grand Scientific & Societal Challenges. Larry Brandt, Roberto Dandi, Keith Hampton, Erik Jakobbson, Laura Koehly, Michael Macy, Peter Monge, Garry Robins, Bob Wilhelmson. The (Grand)Mother of All Grand Challenges for SNA. We know lots about Individuals (surveys)

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Grand Scientific & Societal Challenges

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  1. Grand Scientific & Societal Challenges Larry Brandt, Roberto Dandi, Keith Hampton, Erik Jakobbson, Laura Koehly, Michael Macy, Peter Monge, Garry Robins, Bob Wilhelmson

  2. The (Grand)Mother of All Grand Challenges for SNA • We know lots about • Individuals (surveys) • Small network structures (snapshots) • Populations (aggregations, gov’t data) • But it is very hard to study the thing that is most important: • Social interaction: what goes on inside the network • How networks change

  3. A Tale of Two CI-ties • Research CI: Supercomputers, digitial libraries, software, caves, etc. • Social CI: email, blogs, news groups, cell phones, text messaging

  4. Some good news & some bad news • First the good news • SCI leaves a digital trail • Possibility for the first time to collect real-time data about social interaction • Now the bad news: the trails are big and messy • Solution: • Use RCI to tap SCI • Next generation SNA

  5. Illustrations • Multiplex genetic susceptibility testing • SCI: connects patients with databases, providers, other patients • RCI: • how does information about genetic susceptibility change behavior? • how do support networks among susceptibles change behavior?

  6. Local environmental elites • SCI: communications among officials and leaders • RCI: • mining the missives • how does the flow of information and influence alter policy and practice?

  7. Biotech firms • SCI: mechanisms for collaborations and info exchange among labs • RCI: • Source of clues about how emerging networks shaped the evolution of the biotech industry • What is an optimal network?

  8. Natural language processing • SCI: political blogs • RCI: • tools that can read not just the links but the texts • how people influence one another in response to the influence they receive • Empirical tests of • Tipping models • Hopfield models • Diffusion models

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