The Michigan Institute for Data Science (MIDAS) is pleased to announce the winners of its 2018 poster competition, which is held in conjunction with the MIDAS annual symposium.
The symposium was held on Oct. 9-10, 2018, and the student poster competition had more than 60 entries. The winners, judged by a panel of faculty members, received cash prizes.
Best Overall
Arthur Endsley, “Comparing and timing business cycles and land development trends in U.S. metropolitan housing markets”
Most likely health impact
- Yehu Chen, Yingsi Jian, Qiucheng Wu, Yichen Yang, “Compressive Big Data Analytics – CBDA: Applications to Biomedical and Health Studies”
- Jinghui Liu, “An Information Retrieval System with an Iterative Pattern for TREC Precision Medicine”
Most likely transformative science impact
- Prashant Rajaram, “Bingeability and Ad Tolerance: New Metrics for the Streaming Media Age”
- Mike Ion, “Learning About the Norms of Teaching Practice: How Can Machine Learning Help Analyze Teachers’ Reactions to Scenarios?”
Most interesting methodological advancement
- Nina Zhou and Qiucheng Wu, “DataSifter: Statistical Obfuscation of Electronic Health Records and Other Sensitive Datasets”
- Aniket Deshmukh, “Simple Regret Minimization for Contextual Bandits”
Most likely societal impact
- Ece Sanci, “Optimization of Food Pantry Locations to Address Food Scarcity in Toledo, OH”
- Rohail Syed, “Human Perception of Surprise: A User Study”
Most innovative use of data
- Lan Luo, “Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Datasets”
- Danaja Maldeniya, “Psychological Response of Communities affected by Natural Disasters in Social Media”
