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Schedule
2019
Tuesday, January 8th
12:00 AM

Beyond the Medium: Rethinking Information Literacy through Crowdsourced Analysis

Olga Boichak, Syracuse University
Jordan Canzonetta, Syracuse University
Niraj Sitaula, Syracuse University
Brian McKernan, Syracuse University
Sarah Taylor, N/A
Patricia Rossini, Syracuse University
Benjamin Clegg, Colorado State University
Kate Kenski, University of Arizona
Rosa Martey, Colorado State University
Nancy McCracken, Syracuse University
Carsten Østerlund, Syracuse University
Roc Myers, Pertis LLC
James Folkestad, Colorado State University
Jennifer Stromer-Galley, Syracuse University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

12:00 AM

Comparing Pineapples with Lilikois: An Experimental Analysis of the Effects of Idea Similarity on Evaluation Performance in Innovation Contests

Victoria Banken, University of Innsbruck
Isabella Seeber, University of Innsbruck
Ronald Maier, University of Innsbruck

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

12:00 AM

Introduction to the Minitrack on Crowd-enhanced Technologies for Improving Reasoning and Solving Complex Problems

James Folkestad, Colorado State University
Carsten Østerlund, Syracuse University
Kate Kenski, University of Arizona
Jennifer Stromer-Galley, Syracuse University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

12:00 AM

The Design and Development of a Cloud-based Platform Supporting Team-oriented Evidence-based Reasoning: SWARM Systems Paper

Richard Sinnott, University of Melbourne

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

12:00 AM

TRACE: A Stigmergic Crowdsourcing Platform for Intelligence Analysis

Huichuan Xia, Syracuse University
Carsten Østerlund, Syracuse University
Brian McKernan, Syracuse University
James Folkestad, Colorado State University
Patricia Rossini, Syracuse University
Olga Boichak, Syracuse University
Jerry Robinson, Syracuse University
Kate Kenski, University of Arizona
Roc Myers, Pertis LLC
Benjamin Clegg, Colorado State University
Jennifer Stromer-Galley, Syracuse University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM