Tens of millions of people live in areas that are at risk for flooding due to climate change, sea level rise, and melting of glaciers. UMBC’s Vandana Janeja, professor and chair of information systems, is leading a team of researchers using data science, machine learning, artificial intelligence (AI), and polar science to analyze enormous volumes of climate data and Arctic and Antarctic observations in ways that could help populations prepare for and respond to these risks.
The NSF HDR Institute for Harnessing Data and Model Revolution in the Polar Regions (iHARP) is supported by a five-year, $13 million grant from the National Science Foundation’s Harnessing the Data Revolution (HDR) Big Idea program.
Janeja is working with co-PIs Jianwu Wang, associate professor of information systems at UMBC; Mathieu Morlighem at Dartmouth College; Shashi Shekhar at the University of Minnesota; and researchers from the University of Colorado Boulder. Project partners in education, government, and industry across the country include additional collaborators at the above universities as well as University of Alaska Fairbanks, University of Northern Texas, Amherst College, University of Texas at Austin, NASA Universities Space Research Association, NASA Jet Propulsion Laboratory, NVIDIA, IBM, and Amazon.