- Kaleigh Clary was selected to participate in this year’s class of fellows at the Data Science for Social Good (DSSG) Summer Program at the University of Chicago (3/19/2018).
- Akanksha Atrey was selected to attend the CRA-W Grad Cohort for Women Workshop in April.
- David Jensen gave a talk at CMU’s Heinz College of Information Systems and Public Policy on “Explainable Artificial Intelligence: Opportunities and Challenges for Public Policy.” (2/19/2018)
- David Jensen gave a distinguished lecture at the Center for Causal Discovery at the University of Pittsburgh on “The Case for Empirical Evaluation of Methods for Causal Modeling.” (2/15/2018)
- Javier Burroni presented our poster on “Interactive Writing and Debugging of Bayesian Probabilistic Programs” at the Workshop on Probabilistic Programming Languages, Semantics, and Systems. (1/9/2018)
- Kaleigh Clary successfully passed her portfolio exam and entered into candidacy in our PhD program. (12/13/2017)
- Sam Witty gave a tutorial on “Causal Inference with Graphical Models” for the UMass Graduate Researchers in Data (11/29/2017).
- KDL’s work on explainable artificial intelligence was noted in a New York Times Magazine article (11/21/2017)
- Hüseyin Oktay successfully defended his dissertation (11/20/2017).
- Sam Witty gave an invited talk for the MIT Probabilistic Computing Project on “Computational Representations of Causality” (11/2/2017).
- Akanksha Atrey presented her paper “Do Individuals Smile More in Diverse Social Company? Studying Smiles and Diversity Via Social Media Photos” at ACM Multimedia 2017 (10/26/17).
- Katerina Marazopoulou successfully defended her dissertation (7/28/2017).
- David Jensen gave a keynote talk at Time and Causality in the Sciences, June 7-9 at Stevens Institute of Technology on “Overcoming the Poverty of Mechanism in Causal Models.”
- David Jensen and KDL Alum Brian Gallagher, along with UMass colleagues John Burgess and Brian Levine, received the IEEE INFOCOM 2017 Test of Time Paper Award for their 2006 paper MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks.
- David Arbour successfully defended his dissertation (2/16/2017).