Innovator in Residence Nancy Rubin uses AI to shed light on the student debt crisis

The Applying Artificial Intelligence to the Student Debt Crisis project, led by Innovator in Residence Nancy Rubin, convened data scientists, data engineers and domain experts from around the world, using the Omdena platform, to collaborate and build an artificial intelligence solution to better understand -- and potentially recommend solutions to -- the student debt crisis. 

Nancy Rubin, Ph.D. and Karina Alexanyan, Ph.D. recently shared their findings in the Journal of Literacy and Technology article, "Data Science Reveals US Higher Education and Student Loan Systems are Failing Students Who Need Them Most." 

One of the key findings was that the majority (76%) of student loan debt is under $40,000, with a large portion (35%) under $10,000. Data scientists found that defaults are driven by smaller loans (not large debt burden) held by vulnerable populations who are not able to pay off their student loans. Read more key findings

(Infographic: "Data Science Reveals US Higher Education and Student Loan Systems are Failing Students Who Need Them Most.", Journal of Literacy and Technology, 2021)