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amazon.scienceAmazon Research Awards teamAnnouncement
Amazon Research Awards recipients announced
Summary
Amazon Research Awards has announced 70 award recipients across 49 universities in 11 countries for its fall 2025 funding cycle. The funded research spans six distinct tracks: AI for Information Security, Agentic AI, Automated Reasoning, AWS Cryptography, Cybersecurity and Anti-Abuse Technologies, and Sustainability. Each selected academic team receives unrestricted financial grants, AWS Promotional Credits to access specialized cloud AI and machine learning services, and access to more than 700 Amazon public datasets. Awardees are paired with an Amazon research contact who provides advisory support, consultation, and access to company training sessions. Furthermore, the program explicitly encourages recipients to publish their discoveries, deliver presentations at Amazon offices worldwide, and release associated software implementations under open-source licenses.
Context
Academic and industry researchers face evolving challenges across digital ecosystems, including sophisticated fraud, abuse, and emerging security, safety, and trustworthiness requirements in agentic AI and cloud infrastructure.
Approach / What changed
Amazon provides unrestricted funding, AWS Promotional Credits, dedicated Amazon research contacts, and access to over 700 public datasets across six specialized research tracks, while encouraging open-source code releases and peer-reviewed publications.
Takeaways
The fall 2025 Amazon Research Awards cycle selected 70 recipients from 49 universities in 11 countries across six technical tracks.
Award recipients receive unrestricted funding, AWS Promotional Credits for AI and machine learning tools, access to over 700 Amazon public datasets, and an assigned Amazon research contact.
Amazon encourages awardees to publish academic findings, present research at Amazon offices worldwide, and distribute resulting software under open-source licenses.
Source and freshness
- Source
- amazon.science
- Published
- Added to Yomu
- Last updated
Summaries are generated from the original by a language model. Check the original before relying on it.
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