Hello all, ASU's Machine Learning Day symposium will be happening this Friday, April 1. Registration is free and the event is open to the public, although we do ask that you pre-register: https://na.eventscloud.com/ehome/index.php?eventid=671621& Details for the talks are listed below. All times are in Phoenix local time (UTC-7; MST) ----- 8:50 AM - 9:05 AM – Welcome and Opening Remarks (Dean Sandrin) 9:05 AM - 10:00 AM – Keynote Address (Chair: Nicholas Duran) - Learning Engineering: Making the Most of Machine Learning in Concert with Learning Sciences, Danielle McNamara, Arizona State University 10:10 AM - 11:00 AM Session 1: ML Theory and Methods I (Chair: Joel Nishimura) - Subtask Analysis of Process Data Through a Predictive Model, Xueying Tang, University of Arizona - Robust Model Discovery with SINDy and Ensemble Learning, Urban Fasel, University of Washington, Seattle 11:10 AM - 12:00 PM Session 2: Ethics and ML (Chair: Nicholas Proferes) - Ordering Emotion: Scenes from the History of Affective Computing, Luke Stark, University of Western Ontario - Visualizing the Hypervisible: Thoughts on Stories Machine Learning Can’t & Shouldn’t Tell from Trans Tumblr, Jack Gieseking, University of Kentucky 12:00 PM - 1:00PM – Lunch 1:00 PM - 1:50 PM Session 3: Cognitive Science and ML (Chair: Derek Powell) - Probing Social Variation in Language Use With Mixed-effects Transformers, Robert Hawkins, Princeton University - Doing metascience computationally, Pablo Andres Contreras Kallens, Cornell University 2:00 PM - 2:50 PM Session 4: ML Theory and Methods II (Chair: Kuai Xu) - Risk Predictions Using Interval Censored Panel Count Data with Informative Observation Times, Qing Pan, George Washington University - Machine Learning-Driven Wireless Security: Attacks and Defenses, Dianqi Han, Arizona State University 2:50 PM – 3:00 PM – Closing Remarks ----- We hope you will join us! Nicholas Proferes, PhD Assistant Professor School of Social and Behavioral Sciences New College of Interdisciplinary Arts and Sciences Arizona State University