|08:00am - 08:10am:||Welcome (Alex and CJ)|
|08:10am - 09:20am:||Student Presentations|
Each presentation will consist of a 5-minute presentation (from pre-recorded video) and 3-minute live Q&A.
|Claudia Flores-Saviaga||Organizing Crowds to Detect Manipulative Content|
|Yunyi Li||Beyond Noisy Labels: Investigating the Impact of Label Bias for Active Label Acquisition|
|Kehua Lei||Design at Scale for large-scale online communication and collaboration|
|Steven Jecmen||Making Peer Review Robust to Undesirable Behavior|
|Shaochen Yu||From the Lab to the Crowd: Hybrid Human-Machine Systems to Support Novice Data Workers in Data Quality Tasks|
|Holly Rosser||What the Tech? Understanding How Technology Supports Learning In Citizen Science|
|Senjuti Dutta||Supporting Multi-device Work Practices in Crowdwork|
|Matthew Swindall||Crowdsourcing Image Datasets: An Examination of Ground-Truth in Labeling, Text Segmentation, & Sampling Bias|
|09:30am - 10:30am:||Panel: Trade-offs in Human Computation Careers|
The purpose of this panel is to provide doctoral students with insight into the trade-offs in pursuing academic and industry careers in human computation and crowdsourcing.
|10:30am - 11:30am:||Lunch Break|
|11:30am - 12:30pm:||One-on-One Mentorship|
|12:30pm - 01:40pm:||Panel: Building Interdisciplinary Collaborations in Human Computation|
The purpose of this panel is to provide doctoral students with insight into strategies that they can leverage in building interdisciplinary collaborations in their application of human computation.
|01:40pm - 02:00pm:||Closing Remarks and Social|
We welcome everyone who is interested in crowdsourcing and human computation to: