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ARIA's Hypersensory Intelligence programme, directed by Claire Donoghue within the Nature-Inspired Computation opportunity space, is a GBP 65,000,000 bet on establishing the foundations for general-purpose olfactory perception at or beyond biological performance.
The Technical Area 1 call now open is the data-generation layer of that bet and is the most tractable entry point for machine learning teams: ARIA is funding up to six teams, at up to GBP 500,000 each, to construct the Open Olfactory Resource, described as the world's largest open, cross-domain dataset of volatile chemical signals.
The framing should be read carefully by AI groups, because this is a dataset-construction call rather than a modelling call - the deliverable is an open resource that later technical areas and the wider field will train on.
That makes it unusually attractive to teams with instrumentation, analytical chemistry or high-throughput data-collection capability paired with ML data-engineering skill, and correspondingly less suited to a pure modelling group with no route to generating volatile chemical measurements.
The strategic argument for engaging now is positional: teams that build the resource understand its structure, its failure modes and its coverage gaps better than anyone, which is a durable advantage when ARIA funds the perception and modelling technical areas that follow. Full proposals for TA1 close 30 September 2026.
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Or search similar grants →According to the current listing, eligibility includes: ARIA funds a broad range of organisation types including universities, research institutions, companies, startups and individuals, and its programmes are generally open to international participants working with or through UK-connected arrangements; ARIA does not apply the standard UKRI eligibility rules. The Technical Area 1 call under Hypersensory Intelligence - Olfactory Perception seeks up to six teams to construct the Open Olfactory Resource, the world's largest open cross-domain dataset of volatile chemical signals, with awards of up to GBP 500,000 per team drawn from a GBP 65,000,000 total programme budget. Full proposals for TA1 close 30 September 2026. The programme sits within ARIA's Nature-Inspired Computation opportunity space and is directed by Claire Donoghue. This is a dataset-construction call, so proposals must demonstrate a credible route to generating and openly releasing volatile chemical signal data at scale, not solely modelling capability. Applicants must confirm the current eligibility criteria, required team composition, intellectual property and open-release terms, funding ceiling and the exact closing time on the ARIA opportunity page before submitting. Confirm the full requirements in the official notice before applying.
The current listing shows the Hypersensory Intelligence programme carries a total budget of GBP 65,000,000, with the Technical Area 1 call awarding up to GBP 500,000 per team to up to six teams. amount_max of 650,000 is the approximate USD equivalent of the GBP 500,000 per-team ceiling. amount_min of 250,000 is an ESTIMATE of a lower-end team award; ARIA publishes a ceiling but no floor for TA1, and award size is expected to scale with the share of the Open Olfactory Resource a team commits to building. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for ARIA Hypersensory Intelligence Olfactory Perception TA1 Full Proposals for the Open Olfactory Resource Machine Learning Dataset are due September 30, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
ARIA Hypersensory Intelligence Olfactory Perception TA1 Full Proposals for the Open Olfactory Resource Machine Learning Dataset is funded by UK Advanced Research and Invention Agency (ARIA). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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