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.

MSDS 2018 Cohort students Kia Duan, Nitesh Prakash, Duncan Rule and Ni Zhuang worked to create a program that could more accurately assess threat levels from rallies and protests led by extremist groups.

Using machine learning to understand the adversary in credit card fraud

MSDS students Morgan Wall, Ali Zaidi and Dreisbach are exploring how immune system cells can be used to address neurological injuries and disorders.

According to the Center for Disease Control, over 38,000 US adults die annually due to liver disease.

MSDS students Gregory Wert, Elaine Liu and Greenawald, along with faculty advisor Don Brown, are undertaking a capstone research project sponsored by the U.S. Army Research Laboratory to provide that system, with language at its core.

The ability to sift through massive amounts of unstructured text data in a meaningful and impactful way can yield tremendous value towards businesses across a multitude of domains.