Atom Grants
Discover
  • Dashboard
  • Search
  • Deep Research
  • Favorites
  • Projects

    UKRI Translation: Impact Acceleration Accounts 2027

    Limited submissionForecasted

    UKRI Translation: Impact Acceleration Accounts 2027 supports UK research organisations with flexible funding for early-stage impact activities that translate research into societal, economic and environmental benefits.

    Funder: UK Research and Innovation

    Due Dates (Anticipated): September 2027 (Application deadline)

    Funding Amounts: Three years at 100% FEC: AHRC £155,000/year; MRC £150,000–£750,000/year; STFC £70,000/year; EPSRC institution-specific allocations

    Summary: Flexible institutional funding helps UK research organisations translate research outputs into real-world benefits through early-stage impact activities.

    Key Information: Applications must represent the whole organisation; EPSRC applications are invitation only.


    Description

    UKRI Impact Acceleration Accounts (IAAs) provide strategic, institutional-level funding through AHRC, EPSRC, MRC and STFC. Research organisations manage their own portfolios and decide which activities to support, aligning investment with institutional strategies and emerging opportunities. The accounts add value to existing funding by helping translate curiosity-driven research into benefits for society, the economy and the environment.

    Supported activities include proof of concept, early commercialisation, market validation, and engagement with policy, business and third-sector users. The programme also supports strategic partnerships, knowledge exchange, training and culture change that build impact skills and capability. Flexible approaches, reasonable risk-taking, fast failure and learning are encouraged. Institutions should strengthen relationships with non-academic partners and demonstrate how their approach builds on existing research strengths while addressing untapped potential.


    Atom

    See the full grant listing

    Sign in to view full eligibility details, sources, similar grants, and AI-powered analysis.