Human Computation for Science and Computational Sustainability

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Location: Emerald Bay 4, Harveys Convention Center Floor (CC)


   

Schedule


07:30 – 07:50        Introduction and Opening Remarks


07:50 – 08:20        Invited Speaker: Eric Horvitz, Microsoft Research


08:20 – 08:40        A meta-theory of boundary detection benchmarks

                                      [X. Hou et al., Caltech & UCLA]


08:40 – 09:00        Evaluating crowdsourcing participants in the absence of ground truth

                                      [R. Subramanian et al., Northeastern University, LinkedIn & Siemens]



09:00 – 09:30        Coffee Break


09:30 – 09:50        Using community structure detection to rank annotators when ground truth is subjective

                                      [H. Dutta et al., Columbia University]


09:50 – 10:10        Crowdsourcing citizen science data quality with a human-computer learning network

                                      [A. Wiggins et al., DataONE, Cornell Lab of Ornithology]


10:10 – 11:10        Poster Session


Break for Skiing


16:00 – 16:20        Human computation for combinatorial materials discovery

                                      [R. Le Bras et al., Cornell University]


16:20 – 16:40        Dynamic Bayesian combination of multiple imperfect classifiers

                                      & An information theoretic approach to managing multiple decision makers

                                      [E. Simpson et al., Oxford University, University of Southampton & Zooniverse]


16:40 – 17:00        Small Group Discussions (co-organizers lead group discussions)


17:00 – 17:30        Coffee Break


17:30 – 18:15        Continue Small Group Discussions (rotate between groups)


18:15 – 18:45        Small Group Reports, Large-group Discussion and Concluding Remarks