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The Bias Bounty Mapping Equity Challenge, hosted on Zindi with Humane Intelligence and funded by the Heising-Simons Foundation, asks data scientists to estimate coverage gaps in Overture Maps across US Census tracts. The aim is to test whether communities most exposed to climate risk are also the least well mapped.
Participants predict a composite gap score from 0 to 1 per tract, covering roads, building footprints and points of interest, across four regions: Maricopa County, the Northern California fire corridor, Eastern Oklahoma tribal areas and South-Central Texas. Submissions are scored by RMSE and also receive an automated equity scorecard across urban/rural, tribal and social and climate vulnerability strata.
The US$10,000 prize pool pays $4,500, $2,500 and $1,500 to the top three, plus $1,000 for Best Bias Discovery and $500 for Best Documentation. Only open-source tools are allowed, and teams can have up to four people. The challenge runs from 28 August to 31 October 2026.
It suits data scientists working on algorithmic auditing, equitable geospatial data and civic AI.
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Or search similar grants →According to the current listing, eligibility includes: Open to anyone with a Zindi account worldwide, individually or in teams of up to four. Only open-source tools may be used, with no paid APIs. Top-10 finishers must submit code for review. Confirm the full requirements in the official notice before applying.
The current listing shows US$10,000 prize pool: $4,500 first, $2,500 second, $1,500 third, $1,000 Best Bias Discovery, $500 Best Documentation. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Zindi and Humane Intelligence Bias Bounty Mapping Equity Challenge on Overture Maps Coverage Gaps in Climate-Exposed US Communities are due October 31, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Zindi and Humane Intelligence Bias Bounty Mapping Equity Challenge on Overture Maps Coverage Gaps in Climate-Exposed US Communities is funded by Zindi and Humane Intelligence (funded by the Heising-Simons Foundation). 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.
The Halcyon Africa Innovation in Agriculture and Food Security Accelerator supports early-stage, impact-driven ventures across Sub-Saharan Africa that are strengthening agriculture and food systems through market-based solutions. The 2027 cohort is open for applications until 23 October 2026. Technology is explicitly central to the scope: the programme welcomes tech-enabled agriculture and food security solutions across ten priority sectors, including agricultural data platforms, digital extension services, precision agriculture tools and agri-fintech innovations, all areas where AI and machine learning are typically the core of a competitive product. Each selected venture receives a 10,000 US dollar equity-free stipend and 10,000 dollars in Amazon Web Services credits, together with access to Halcyon's community of more than 650 founders, professional advisory support, expert-led workshops covering leadership development, capital strategy and product-market fit, and investor networking. The format is hybrid, combining virtual sessions with in-person residencies in Accra, Ghana and Nairobi, Kenya. What distinguishes this from most AI-for-agriculture funding is the applicant profile: it targets commercial ventures with working products and demonstrated traction rather than research teams, requiring paid-pilot or post-revenue stage with a working minimum viable product. For African AgTech founders building AI-driven advisory, monitoring or decision-support tools who have passed the prototype stage and need capital strategy support and investor access more than research funding, this is a well-matched and currently open opportunity.
The Foresight Institute's AI for Science and Safety Nodes RFP funds work across three layers with a deadline of 31 October 2026 at 23:59 PDT. The Local Compute layer supports community-owned compute infrastructure. The Coordination and Accountability layer covers supercollaboration, decentralised alignment, human empowerment, and AI insurance and open governance. The AI-First Science layer covers nanotechnology, neurotechnology and longevity biotechnology. Awards typically run 30,000 to 100,000 US dollars, with larger amounts possible for the right project and smaller awards in the human empowerment and AI insurance areas. What distinguishes this programme from conventional AI safety funding is that money is only part of the offer: recipients receive office space at Foresight's San Francisco and Berlin hubs, access to a private compute cluster, travel-paid field-building events, and access to Foresight's advisors and scientific network, and the institute states it strongly prioritises applicants who want to be active, in-person contributors. It is therefore better understood as a residency-style node programme than as a grant competition, and applicants unwilling or unable to be physically present at a hub are at a structural disadvantage regardless of proposal quality. Priority goes to projects delivering concrete milestones and deliverables in the next one to three years, both short-term and longer projects are funded, and open-sourcing of code, data and outputs is mandatory. Application is through an online Airtable form, followed by in-house review for fit and quality, referral of strong submissions to technical advisors, possible written questions or calls, and a review timeline of approximately three months after the deadline. Due diligence includes background verification and budget documentation.
Foresight Institute's AI for Science and Safety Nodes programme funds small projects at the intersection of AI safety and AI-accelerated science, and it is structured around physical hubs in San Francisco and Berlin that opened 1 April 2026 rather than around distributed remote work. That is the single most important thing to understand before applying: Foresight states a strong preference for applicants committed to active, in-person participation at one of the two hubs, and the non-cash benefits - office workspace, a private compute cluster, travel-paid field-building events, access to advisors - are only realisable on site. A remote applicant is competing for a 30,000 to 100,000 dollar grant while forgoing most of what the programme offers. Three focus areas are named: local compute infrastructure; coordination and accountability systems; and AI-first science in biology, neurotechnology and nanotechnology. Funding is not distributed evenly across them, with smaller grants going to Human Empowerment and to AI Insurance and Open Governance, and larger grants to the rest. Eligibility is unusually broad for AI safety funding - individuals, teams and organizations may apply, nonprofit or for-profit, with no stated geographic restriction, though for-profit applicants must justify their need for grant rather than investment funding. There is no institutional affiliation requirement, which makes this one of the few routes available to independent researchers working on AI safety. Applications go through an Airtable form and are reviewed monthly, with deadlines on the last day of every month running to a final documented deadline of 31 October 2026 at 23:59 PDT. Review takes roughly three months after the deadline. Because Foresight reviews monthly until the nodes reach capacity, applying early rather than at the final deadline is a real advantage.
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