Accelerate: Data and AI for Social Impact Conference

Join us in Bogotá, Colombia for the 2026 Accelerate Conference

AI is reshaping our world at an unprecedented pace, and with it comes new risks and challenges. But AI also provides us with unlimited possibilities. In this rapidly-evolving landscape, we see extraordinary opportunities to create lasting solutions for the people who need them most.

The need for collaborative, cross-sector strategies has never been more important.

After a highly successful event hosted by Harvard University in 2024, the Accelerate: Data and AI for Social Impact Conference is coming back in June 2026 (exact date to be announced soon)! Join data.org and our host organization, Pontificia Universidad Javeriana in Bogotá, Colombia, a center for innovation, commitment to social impact and shaping leaders with critical thinking.

This premier global convening will once again bring together cross-sector global leaders to explore how data and AI can drive scalable, real-world impact. Building on what we accomplished at the inaugural convening in Cambridge, this exciting event will focus on leveraging data and AI to drive social impact in financial well-being and public health. As AI’s influence expands across the globe, we will highlight bold ideas, breakthrough innovations, and proven solutions to ensure data and AI empower communities, expand opportunity, and create lasting change that benefits all.

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2024 Accelerate Conference at Harvard University Highlights

Accelerate: Data for Social Impact Conference convened academic institutions, social impact organizations, philanthropy, and industry partners around the globe. This inaugural event focused on the potential of leveraging data and AI to mitigate and adapt to climate change through an intersectional lens that spans public health, financial inclusion, and data privacy.

See the 2024 Agenda

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2024 Accelerate Conference Sponsors

Thank you to our 2024 Accelerate: Data for Social Impact Conference sponsors for their commitment to building the field of data for social impact.