Title: Socio-technical Challenges in Scientific and Medical Crowdsourcing
Speaker: Edith Legislation, Assistant Professor in Laptop Science, College of Waterloo
Date: April 17, 2018
Time: 12:00-1:00pm
Room: Gates-Hillman Complicated 6501
Summary:
Science is more and more data-intensive; but, many analysis duties involving the gathering, annotation and evaluation of knowledge are too complicated to be absolutely automated. The concept of research-oriented crowdsourcing is to have interaction individuals with out formal tutorial coaching to contribute or course of information in the direction of answering questions. On this discuss, I’ll focus on the number of socio-technical challenges that come up when designing scientific and medical crowdsourcing techniques, and exhibit by examples varied conditions the place typical approaches to crowdsourcing fall quick.
Bio:
Dr. Edith Legislation is an assistant professor on the David R. Cheriton College of Laptop Science at College of Waterloo, the place she co-directs the Human Laptop Interplay (HCI) Lab. Her analysis focuses on learning how people can increase and make sense of clever techniques, in addition to creating new curiosity-based methods for participating customers and inspiring long-term interactions between people and machines. Beforehand, she was a postdoctoral fellow on the College of Engineering and Utilized Sciences at Harvard College. She graduated from Carnegie Mellon College in 2012 with Ph.D. in Machine Studying, and holds a M.Sc. in Laptop Science from McGill College, and B.Sc. in Laptop Science from College of British Columbia. She co-authored the e-book “Human Computation” and helped create the primary AAAI Convention on Human Computation and Crowdsourcing (HCOMP). Her work on video games with a objective, large-scale collaborative planning and curiosity as an incentive mechanism have gained greatest paper honourable mentions on the ACM SIGCHI convention.
