Open Science at CMU

Purdue University Libraries and School of Information Studies Joins Open Forum for AI, Contributing Expertise Across Four Working Groups

Purdue University Libraries and School of Information Studies has partnered with the Open Forum for AI (OFAI), an international initiative designed to support responsible and human-centered artificial intelligence (AI). Launched at Carnegie Mellon University in 2024, OFAI convenes academic institutions and nonprofit organizations to foster collaboration, transparency, and inclusion in the development of AI systems.

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Data Transfer Initiative Joins Open Forum for AI, Contributing Expertise in Data Portability and User Empowerment

The Data Transfer Initiative (DTI) has joined the Open Forum for AI (OFAI), an international initiative focused on advancing human-centered approaches to artificial intelligence (AI). Launched at Carnegie Mellon University in 2024, OFAI convenes academic institutions and nonprofit organizations to foster collaboration, transparency, and inclusion in the development of AI systems.

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Trinity College Dublin to Partner with Open Forum for AI to Advance Transparent and Accountable AI Systems

Trinity College Dublin has partnered with the Open Forum for AI (OFAI), an international initiative designed to support responsible and human-centered artificial intelligence (AI). Launched in 2024 by Carnegie Mellon University, OFAI convenes academic institutions and nonprofit organisations to foster collaboration, transparency, and inclusion in the development of AI systems.

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Love Data Week Photo Gallery

Each February, the Libraries celebrates Love Data Week as a way to recognize all of the ways the CMU community interacts with data in their research and beyond. This year’s Love Data Week, held Feb. 9–13, explored the theme “Where's the Data?” It encouraged participants to think about the journey of their data from collection to access to preservation.

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Where Industry Meets Experimentation

For many biomedical researchers, the biggest challenges don’t begin with a lack of ideas — they begin with a lack of access. Health data is powerful but deeply sensitive, and collaborating across institutions, countries, or health systems often raises legal, ethical, and technical concerns. Yet solving today’s most urgent biomedical questions increasingly depends on working across those boundaries. To address this challenge, the University Libraries and NVIDIA brought students, researchers, and industry experts together for a three-day bioinformatics hackathon the first week of January. The goal was to explore how researchers can work together while keeping sensitive health data secure and decentralized — meaning the data stays where it is, rather than being copied into one central place.

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