Schedule

SUNDAY, MAY 31

4:00 PM: Registration – California Ballroom Registration Desk

5:30 – 7:15 PM: Opening Plenary: Crowdsourcing and Crowdfunding – Sedona Room

Opening: Jeff Howe, Northeastern and Harvard Universities

  • Drawing Crowds out of Markets and Into Users’ Just-in-Time Needs
    Niloufar Salehi – Stanford University
    Michael Bernstein – Stanford University
  • Crowdsourcing the Research Process
    Rajan Vaish – University of California, Santa Cruz
    James Davis – University of California, Santa Cruz
    Michael Bernstein – Stanford University
  • The Role of Community in Crowdfunding Work
    Julie S. Hui – Northwestern University
    Michael D. Greenberg – Northwestern University
    Elizabeth M. Gerber – Northwestern University
  • Leveraging Collective Intelligence in Organizations
    Daniel M. Romero – University of Michigan
    Ágnes Horvát – Northwestern University
    Brian Uzzi – Northwestern University
  • What is the Crowd Worth? The Role of Social Influence in Crowdfunding
    Lucy Hu – Haas School of Business, University of California, Berkeley

7:15 – 9:00 PM: Opening Dinner – Grand Ballroom

 


MONDAY, JUNE 1

8:00 – 9:00 AM: RegistrationCalifornia Ballroom Registration Desk

8:00 – 9:00 AM: Breakfast – Salon 6

9:00 – 9:15 AM: Opening – Salons 1-5

9:15 – 10:45 AM: Plenary Session: Memes and Rumors – Salons 1-5

Michele Coscia – Harvard University
Jacob Foster – UCLA
Dean Eckles – Facebook
Walter Quattrociocchi – IMT, Lucca

10:45 – 11:15 AM Break

11:15 – 12:30 PM: Parallel Sessions

Track A: Health and Policy – Salons 2 & 3

Track B: Measuring Collective Intelligence – Sedona Room

Track C: Innovation – Salons 7 & 8

12:30 – 2:00 PM: Lunch and Keynote Regina Dugan, Vice-President, Google  – Salon 6

2:15 – 2:45 PM: Three Minute Presentations at Poster Session 1 – Salon 5

2:45 – 4:00 PM: Poster Session 1 – Salon 5

4:00 – 4:30 PM: Break

4:30 – 6:15 PM: Plenary Session: The Cutting Edge: Applications of CI – Salons 1-5

  • Machine Learning and Causality
    Susan Athey – Stanford University
  • Work Together, Play Smart, Collective Intelligence in League of Legends Teams
    Young Ji Kim – Massachusetts Institute of Technology
    David Engel – Massachusetts Institute of Technology
    Anita Williams Woolley – Carnegie Mellon University
    Jeffrey Lin – Riot Games
    Naomi McArthur – Riot Games
    Thomas W. Malone – Massachusetts Institute of Technology
  • Hypermind vs Big Data Electoral
    Emile Servan-Schreiber – Lumenogic LLC
    Pavel Atanasov – University of Pennsylvania
  • Efficiency in Prediction Markets: Evidence from SciCast.org
    Nicolás Della Penna – The Australian National University & NICTA
    Dhaval Adjodah – Massachusetts Institute of Technology, Media Lab
    Alex Pentland – Massachusetts Institute of Technology, Media Lab
  • Predicting Cultural Trends on Social Media using the Crowd
    Sean J. Taylor – Facebook
    Alexander Peysakhovich – Facebook
    Annie K. SteeleFacebook

6:30 – 8:30 PM: Dinner – Grand Ballroom

 


TUESDAY, JUNE 2

8:00 – 9:00 AM: Registration – California Ballroom Registration Desk

8:00 – 9:00 AM: Breakfast – Salon 6

9:00 – 10:30 AM: Plenary Session: Collective Behavior – Salons 1-5

  • Collective, Distributed Network Design Inspired by Brain Development and Function
    Saket Navlakha – Salk Institute
  • From T-cells to Information Security and Data Privacy
    Fernando Esponda – Instituto Tecnológico Autónomo de México
  • The Ecology of Collective Behavior
    Deborah Gordon – Stanford University

10:30 – 11:30 AM: Break

11:00 – 12:30 PM: Parallel Sessions

Track A: Visualization and Filtering – Salons 2 & 3

Track B: Voting and Deliberation – Sedona Room

Track C: Problem Solving and Design – Salons 7 & 8

  • Collective Problem-Solving by Heterogeneous Agents in Network Environments
    Michael Foley – Northeastern University
    Christoph Riedl – Northeastern University
  • The Subcultures as a New Role in Cultural Algorithm Design
    Yousof A. Gawasme – Wayne State University
    Robert G. Reynolds – Wayne State University
  • Collective Intelligence in Architecture: The Collaborative Knowledge Based Design of Buildings
    Terry A. Beaubois – Stanford University
  • Broad Participation in Collective Problem Solving
    Erik P. Duhaime – Massachusetts Institute of Technology
    Gary M. Olson – University of California, Irvine
    Thomas W. Malone – Massachusetts Institute of Technology

12:30 – 2:00 PM: Lunch – Salon 6

2:00 – 2:30 PM:  Three Minute Presentations at Poster Session 2 – Salon 5

2:30 – 3:15 PM:  Poster Session 2 Salon 5

3:15 – 3:30 PM:  Break

3:30 – 5:00 PM: Plenary Session: Collective Intelligence in Organizations – Salons 1-5

5:00 – 5:20 PM: Concluding Remarks and Announcement of CI 2016 Chairs – Salons 1-5