Four Researchers Win First AI for Discovery Awards
The award funds research-stage projects using AI across health, energy, and surveillance, with no shipped products reported yet.
Updated on Nov. 6, 2026 in Science — General

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Nature Awards and the BCG X AI Science Institute announced the first AI for Discovery Award recipients at a ceremony in London. The four researchers apply AI to science across healthcare, sustainability, energy and manufacturing, and each receives a US$10,000 development grant plus customized virtual training. The award recognizes work that is research-stage and applied, not shipped products.
Why it matters
The award signals growing institutional attention to AI used as a research method rather than only as a commercial tool, with an emphasis on responsible application. It highlights a trajectory in which AI is applied directly to scientific discovery across several fields at once.
The award provides four grants of US$10,000 each, with the recipients working in areas including molecule identification, AI-assisted literature analysis, on-device sensing, and infectious disease surveillance. The figures reflect the award's funding and recipient count; no performance benchmarks were reported for the underlying research.
The players
Nature Awards
The publishing-linked awards program of the journal Nature, which launched the AI for Discovery Award.
BCG X AI Science Institute
The AI research arm associated with Boston Consulting Group that partnered on the award and provides the recipients' virtual training.
Michael Skinnider
A Princeton University researcher using AI to identify previously unknown molecules in the human body.
Kevin Jablonka
A researcher at Friedrich Schiller University Jena who applies AI to combine experimental findings with scientific literature.
The details
The recipients use AI in different ways: Michael Skinnider of Princeton University uses it to identify previously unknown molecules in the human body, while Kevin Jablonka of Friedrich Schiller University Jena combines experimental findings with the scientific literature. Yang Chai of The Hong Kong Polytechnic University is developing sensors that run AI directly inside devices, and Houriiyah Tegally of CERI and Stellenbosch University combines AI with genomic, epidemiological and climate data to improve infectious disease surveillance.
Timeline
The award recipients were announced on November 6, 2026, at a ceremony in London.
The Tech Race
The award places AI-for-science work alongside Nature's established awards program and BCG X's research institute, which together frame AI as a research tool across disciplines. The four recipients span distinct fields, from molecular discovery to on-device sensing, showing how the approach is being applied in parallel rather than along a single research line.
The award funds research rather than releasing a product, so it does not change tools available to the public today. Its practical effect is on the four recipients' projects, which receive US$10,000 development grants and virtual training from the BCG X AI Science Institute.
The takeaway
AI is increasingly being applied to scientific discovery itself, as this award's recipients show across health, energy and infectious disease. Readers can track whether the recipients publish results from their funded projects in peer-reviewed venues over the coming year.
Further reading
For broader context on how AI is being applied across disciplines, see Science — General.
Source note: This article includes information reported by Knowledgespeak.
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