Wearable technologies and new data techniques are offering researchers earlier insights into fetal maturation, which could ultimately help support better fetal and maternal outcomes both in the US and globally.

Not all traffic cameras–or uses of their footage–are created equal. Columbia's Andrew Smyth and his extensive network of collaborators are using limited traffic camera data and AI to improve street safety and help expedite city planning efforts.

Columbia University's new National Synthesis Center for Organismal Resilience (NSCORE) will support organismal biology research through unique computing connections and partnerships with institutions around New York City and the world.

Columbia’s Data Science Institute launched its inaugural DAX INSIGHTS forum, bringing MLB and Columbia experts together to explore AI’s growing role in sports analytics, fan engagement, data sharing, and augmenting human expertise.

Over the summer, hackNY - a non-profit co-founded by DSI Core Member Chris Wiggins - launched a Public Interest Lab that matched 15 students from around the country with NYC non-profits to provide free, transformative technology consulting.

Funded by the National Science Foundation, the National Synthesis Center for Organismal Resilience will leverage real-world data and innovative AI techniques to improve understanding of how plants and animals build resilience in dynamic environments.

A new volume edited by DSI’s Florence D. Hudson helps ensure that cross-disciplinary insights from publicly-funded COVID-19 research will remain accessible.

Now an AI Engineer at Dell, Sstuti Mehra (MSDS ’25) embraced the hands-on opportunities and support provided by DSI to begin her data science journey even before graduation day.

At DSI’s inaugural Data Science and AI Exchange event (DAX), leaders from academia, industry, and government shared insights about the realities of using advanced AI systems.

A new multi-university grant from the Air Force Office of Scientific Research will examine whether larger quantum operations could reduce errors and make future quantum computers more practical.

When a crucial source of food insecurity data suddenly went dark, Michael Puma worked with MSDS student Shreyas Kamath (’26) to build an agentic AI prototype to explore how new technologies could support resilience in the food insecurity sector.

An early graduate of Columbia’s MS in Data Science program, Domingues built a career in industry before bringing her DSI-honed expertise into public-interest AI policy. Today, she applies her technical and communication skills to a broad range of AI strategy and education efforts.