Perry Samson

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The capacity to predict student success depends in part on our ability to understand “educationally purposeful” student behaviors and motivations and the relationship between behaviors and motivations and academic achievement. My research focuses on how to collect student behaviors germane to learning at a higher granularity and analyze the relationships between student performance and behaviors.

Ultimately this research is aimed at designing and constructing an “earlier warning system” wherein student guidance is quasi-automated and informed by motivation, background and behaviors and delivered within weeks of the beginning of classes.

Pascal Van Hentenryck

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Pascal Van Hentenryck’s research is focused on artificial intelligence, data science, and optimization, with applications in mobility and transportation, energy systems, and computational social choice. He is currently leading the RITMO project, partly funded by MIDAS, which focuses on designing novel models of mobility, mathematical and algorithmic approaches to operate them optimally, and software architectures and data-privacy mechanisms to deploy them. The RITMO project is also in the process of deploying its technology in a number of significant case studies, with a particular focus on social equity.

Tracking Shuttle Bus Location & Ridership