DataKind

Leveraging AI-powered technology and data analytics to support student success in higher education

DataKind’s leadership in leveraging data science and AI for social impact directly addresses the barriers students face in obtaining credentials of value that lead to economic outcomes.

Nearly 99 million American adults do not have a college degree, and 44 million of them earn less than a family-sustaining wage. One of the major barriers to degree completion is the lack of access to clear credit pathways. To address this barrier, DataKind is providing students with AI-powered software and analytics that identifies pathways. By helping students better understand their existing credits and guiding them toward the most efficient path to a meaningful career-aligned credential, this project aims to increase attainment and improve student outcomes.

DataKind, a global leader in using data, technology, and AI for social good, is committed to improving credential completion pathways for students. With more than 15 years of experience, DataKind has collaborated with social impact organizations around the world to deliver transformative software and analytics solutions that drive positive community impact.

In partnership with Axim, DataKind is working with broad access institutions to develop a sustainable, data-driven technology that increases the number of students who complete their studies with a meaningful credential.

This partnership will offer data-driven insights that will:

  • Address critical gaps in credential completion systems;

  • Empower students with insights to efficiently complete their education

  • Scale to reduce costs for institutions and students.

Through the success of this initiative, Axim and DataKind aim to create a comprehensive playbook for broad access institutions, ensuring that more students achieve their educational goals with innovative, data-driven solutions. 

COLLABORATORS


Caitlin Augustin

Vice President, Product & Programs, DataKind


Head of Programmatic Partnerships, U.S., DataKind

Quentin Walz