Crowdsourcing, Big Data, and Social Media in the Behavioral Sciences: Applications,
Methods and Theory
December 3 & 4, 2015
2112 Social Science Plaza A, Duncan Luce Conference Room
8:45 am to 9:00 am Welcome
9:00 am to 10:00 am Ulf-Dietrich Reips, University of Konstanz, Research in with Social Media
10:10 am to 11:10 am Norbert Schwarz, USC & David Hauser, University of Michigan, Online attention checks: Attentive Turkers and unintended consequences
11:20 am to 12:20 pm Patricia Greenfield, UCLA, Cultural evolution in China and the U.S.: Using the Google Ngram Viewer to study implications of social and political change for cultural values and human development
12:30 pm to 1:30 pm Lunch
1:30 pm to 2:30 pm Mark Steyvers, UCI, Combining Human Judgments
2:40 pm to 3:40 pm Siddharth Suri, Microsoft, Crowdwork’s Invisible Engine: Valuing the Organic Collaboration that Drives Crowdsourcing Labor Markets
3:50 pm to 4:50 pm Niloufar Salehi, Lilly Irani, Michael Bernstein, Ali Alkhatib, Eva Ogbe, Kristy Milland, and Clickhappier, Computer Science and The Human Computer Interaction Group, Stanford University, We Are Dynamo: Overcoming Stalling and Friction in Collective Action for Crowd Workers
5:00 pm to 5:30 pm Discussion
5:30 pm Adjourn for the day
Friday, December 04, 2015
9:00 am to 10:00 am Kimberly A. Jameson, Sean Tauber, Prutha S. Deshpande, Stephanie M. Chang, and Sergio Gago, UCI, Crowdsourcing the transcription of archival data
10:10 am to 11:10 am Michael D. Lee, UCI, Making sports predictions by applying cognitive models to crowd- sourced data
11:30 am to 1:00 pm On site: Lunch and Student Poster Session
1:00 pm to 2:00 pm Alexander Ihler, UCI, Computational Choices for Crowdsourcing
2:10 pm to 4:10 pm Ulf-Dietrich Reips, Tutorial Session: Tools and methods in crowdsourcing and Internet-based experimenting
4:20 pm to 5:20 pm Gary H. McClelland, University of Colorado Boulder, Visualization for Big Data and Internet Research
5:30 pm Discussion and social meeting
6:00 pm Adjournment
Download full program including abstracts: Crowdsourcing