Program

(Tentative)

Day One

June 15, 2017

8:30 AM — 9:00 AM

Refreshments and Registration

9:00 AM — 9:10 AM

Introductory Remarks

9:10 AM — 10:00 AM

In conversation with: Geoff Mulgan

Geoff Mulgan, Chief Executive Officer, NESTA

10:00 AM — 11:00 AM

Plenary Talks: Citizen / public innovation

Darlene Cavalier, Founder, SciStarter

Tom Kalil, Former Deputy Director, White House Office of Science and Technology Policy

Dana Lewis, Founder, #OpenAPS

11:00 AM — 11:30 AM

Networking and Coffee Break

11:30 AM — 1:00 PM

Parallel Session 1

  • Eoin Cullina, Driving Entrepreneurship Through Crowdsourcing in Scientific Research Funding Agencies
  • Thomas Malone, Using Contest Webs to Address the Problem of Global Climate Change
  • Chris Welty, Crowdsourcing Ambiguity-Aware Ground Truth
  • Mark Whiting, Designing A Constitution for a Self-Governing Crowdsourcing Marketplace
  • Andrew Young, Leveraging Corporate Data and Collective Intelligence to Solve Public Problems: Data Collaboratives as Prize-Backed Challenges

Parallel Session 2

  • Jordan B. Barlow, Collective Intelligence and its Relationship to Collective Individual Intelligence
  • Carsten Bergenholtz, The Ikea-effect in Collective Problem Solving
  • Alejandro Noriega Campero, Wisdom of Dynamic Networks: Selective Social Learning and the Adaptive Wisdom of the Crowd
  • Shi Kai Chong, Large-Scale Experiment on the Importance of Social Learning and Unimodality in the Wisdom of the Crowd
  • Jeremy Foote, The Behavior and Network Position of Peer Production Community Founders

1:00 PM — 2:00 PM

Lunch

2:00 PM — 3:00 PM

Plenary Talks: Organizing and Organizations

Mark Ackerman, George Herbert Mead Collegiate Professor of Human-Computer Interaction, University of Michigan, Ann Arbor

Noshir Contractor, Jane S. & William J. White Professor of Behavioral Sciences, Northwestern University

Hila Lifshitz-Assaf, Assistant Professor, NYU Stern School of Business

3:00 PM — 4:00 PM

Poster Session 1

  • Lora Aroyo, Crowdsourcing for Video Event Detection
  • David Baltaxe, Amplifying Prediction Accuracy using Human Swarms
  • Jordan B. Barlow, Emergent Roles in Computer-Mediated Collective Work
  • Ohad Barzilay, A Potato Salad with a Lemon Twist: Using Supply-Side Shocks to Study the Impact of Low-Quality Actors on Crowdfunding Platforms
  • Hanna Halaburda, Incentives and Trust in Blockchain Technologies
  • Kurt Luther, Crowdsourced Image Geolocation as Collective Intelligence
  • Ian Miller, Influence on GitHub: Individual Limits and Organization Advantages
  • Manuel Moritz, Collaborative Competition or Competitive Collaboration? Exploring User Behavior in Community-based Innovation Contests
  • Frank Nagle, Goldilocks and the Three Programmers: Unpacking the Relationship Between Online Contributions and Productivity at Work
  • Pinar Ozturk, Dialog Classification in Wikipedia
  • Carlos Parra, Collective Intelligence and Institutional (In)Stability
  • Jie Ren, Comparing Divergent Thinking and Creativity Performance in the Crowd versus Experts –The Moderating Role of Task Type
  • Louis Rosenberg, Human Swarms amplify accuracy in Honesty Detection
  • Feng Shi, Wisdom of Polarized Crowds
  • Jesse Shore, Network structure and patterns of information diversity on Twitter
  • Danny Sierra, Motivational factors from citizens in participating civic crowdsourcing initiatives
  • Adriana Silva, Mapaton The unsustainable mobility case of México City
  • Tim Straub, Partition Dependence Bias in Prediction Markets
  • Ramine Tinati, Collaboration in Real-Time Citizen Science Communication
  • Christopher Welty, Disagreement in Crowdsourcing and Active Learning for Better Distant Supervision Quality
  • Amy X. Zhang, Bridging Discussions and Wikis using Recursive Summarization

4:00 PM — 5:00 PM

Keynote: Luke Dubois and Lauren McCarthy

R. Luke Dubois, Co-Director and Associate Professor of Integrated Digital Media, NYU Tandon School of Engineering

Lauren McCarthy, Assistant Professor, UCLA Design Media Arts

5:30 PM — 6:30 PM

Cocktail hour

Day Two

June 16, 2017

8:30 AM — 9:00 AM

Refreshments and Registration

9:00 AM — 10:30 AM

Plenary Talks: Modeling Intelligence

Bernardo Huberman, Stanford University

Ece Kamar, Researcher, Microsoft Research

Nick Ouellette, Associate Professor, Stanford University

Daniel Weld, Thomas J. Cable / WRF Professor of Computer Science & Engineering and Entrepreneurial Faculty Fellow, University of Washington

10:30 AM — 11:00 AM

Networking and Coffee Break

11:00 AM — 12:30 PM

Parallel Session 3

  • Young Ji Kim, More Evidence for a General Collective Intelligence Factor in Human Groups: A Meta-Analysis
  • Pantelis Pipergias Analytis, Diversity of preference can increase collective welfare in sequential exploration problems
  • Emile Servan-Schreiber, Debunking Three Myths About Crowd-Based Forecasting
  • Taranjit Singh, Markets and Media: A Case Study of Crowdsourcing During Election Night

Parallel Session 4

  • Andres Abeliuk, Controlling Collective Behavior Through Position Bias
  • Brent Hecht, The Role of Human Geography in Collective Intelligence
  • Hila Lifshitz-Assaf, Delineating Emergent Role Behaviors in Wikipedia
  • Mehdi Moussaid, The propagation of accurate judgments in experimental transmission chains

12:30 PM — 1:30 PM

Lunch

1:30 PM — 3:00 PM

Parallel Session 5

  • Jiye Baek, Using cohort size to promote content contribution: a field experiment on a discussion forum
  • Giuseppe Carbone, Emergence of Collective Intelligence in Human Groups
  • Pamela Hinds, Co-creating innovation: how feedback exchange processes impact upon innovation in a crowdsourcing platform
  • Thomas Malone, Analyzing Group Interactions Using a Technique Developed for Measuring Consciousness
  • Yuko Sakurai, Toward Crowdsourced Mechanism Design

Parallel Session 6

  • Yue Han, Collective Exploration: Remixing with Human-based Search Algorithms
  • Ting-Hao (Kenneth) Huang, Real-time On-Demand Crowd-powered Entity Extraction
  • John Harlow, Proactively Identifying and Correcting for Social Biases in Datasets Proliferating into Civic Technologies
  • Yun Huang, BandCaption: Crowdsourcing Video Caption Corrections
  • John Prpić, Unpacking Blockchains

3:00 PM — 4:00 PM

Poster Session 2

  • Lora Aroyo, Improving NER Performance by Harnessing Diversity of Machines and Crowds
  • Edmond Awad, Did They Escape? Judging Groups at Face Value
  • Tyler Burleigh, The HUMAN Project: a public resource for representative big data research addressing societal problems
  • Philip Feldman, Modeling The Law of Group Polarization
  • Eric Gladstone, A Basket of Social Science, a Bushel of Social Good
  • Sai Gouravajhala, Towards Hybrid Intelligence for Robotics
  • Tom Grad, The Role of Cognitive Distance in Crowd-based Evaluations
  • Justin Longo, OPEN AMC: Opening governance in the New York University Administrative Management Council
  • Luana Marinho, Argos: Crowdlaw Web Tool
  • Hamed Nilforoshan, Segment-Predict-Explain for Automatic Writing Feedback
  • Charles Pezeshki, Origins of Collective Intelligence: Is there a Homology between Social Networks and Knowledge Structures?
  • Yulistina Riyadi, Collaborative Translation to Better Listen to Citizen Feedback and Voices on a Public Sector Programme
  • Tom Saunders, Governing with Collective Intelligence
  • Irene Tello Arista, Using crowdsourcing and crowdlaw to enact anti-corruption legislation
  • Benjamin Timmermans, ControCurator: Understanding Controversy Using Collective Intelligence
  • Ramine Tinati, Quality Assessment in Complex Crowdsourcing
  • W. Ben Towne, Even on Wikipedia, Draft Status Makes A Difference
  • Gianluigi Viscusi, Crowd Dynamics and Crowd Capital in Small Teams: Insights from three crowdsourcing exercises in higher education
  • Christopher Welty, The Quantum Collective

4:00 PM — 5:30 PM

Plenary Talks: Government use of public / crowd participation

Eric Gordon, Professor , Emerson College

Karen Levy, Assistant Professor, Cornell University

Kate Starbird, Assistant Professor, University of Washington

Erin Simpson, Director of Programs, Civic Hall Labs

5:30 PM — 5:45 PM

Closing Remarks

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