Presidential Fellows in Data Science Miranda Beltzer and Mawulolo Ameko are investigating technology-based models to address mental health by evaluating emotion regulation strategies.

Presidential Fellows in Data Science Erfan Pakdamanian and Nauder Namaky aim to develop a system that optimally alerts drivers when an autonomous vehicle algorithm fails. They plan to develop a deep neural learning algorithm that considers external hazards in conjunction with drivers’ cognitive states.

Presidential Fellows in Data Science Mark Rucker and Derek Lam, sponsored by the Data Science Institute and the Office of Postdoctoral and Graduate Affairs, are designing an algorithm that acts paternalistically to help people make decisions that are not just reflective of their immediate desires, but are also based on what they value as good.

Soda, salty snacks, and processed foods are among the top groceries purchased by Americans – a diet far removed from the one consumed for most of human history. Now researchers, health professionals, and the public want to know: how has this change in diet affected us and what, if anything, should we do about it?

Presidential Fellows in Data Science Laura Barry, Tingyang Meng and Jessica Munyan are investigating ozone emissions and photosynthesis rates by measuring gases using an unmanned aerial vehicle (UAV), or drone.

Presidential Fellows Sarah McEleney and Alex Maxwell are using data science to detect fake news in the modern U.S. and Soviet-era USSR.

Using the gut microbiome to understand maternal and infant mental health and well-being.

What constitutes the democratically productive use of social media?

Using surveillance cameras to monitor bicycles to benefit city planners

Exploring massive open online courses to predict how students acquire knowledge