December 14, 2026
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IEEE HT & UNDP

GenAI for Good Challenge: Cities Edition

The GenAI for Good Challenge: Cities Edition connects teams building generative AI solutions with city governments across Europe and Central Asia. Run by IEEE Humanitarian Technologies together with UNDP, it supports teams in co-developing and deploying responsible, open-source AI for real urban challenges within the green and digital transition. Winning teams can receive up to $40,000 per track, along with technical frameworks and structured collaboration with city stakeholders.

Three city use cases

  • Pristina, Kosovo*: a multilingual GenAI assistant to help municipal planners review transit routes using route, traffic and resident feedback data.
  • Rivne, Ukraine: a GenAI energy efficiency assistant guiding residents, homeowner associations and small businesses from a building profile to indicative costs, financing options and a shareable report.
  • Skopje, North Macedonia: GenAI to connect scattered records to the city's digital Green Cadastre and support decisions that safeguard green infrastructure.

*References to Kosovo shall be understood to be in the context of Security Council resolution 1244 (1999).

Who can apply

  • Informal teams of at least two individuals, all aged 18 or older (companies and organizations are not eligible).
  • Solutions must address one of the three designated city use cases.
  • Teams commit to take part in all stages over the coming year, including the sprint, prototyping and piloting phases.
  • All code, data, documentation and models must be released under a permissive open-source license (e.g. Apache 2.0 or MIT).
  • All teams must use GENIE.AI, the open-source framework for the challenge.
  • Sanctions and residency restrictions apply; see the official rules.

How to apply

Applications have two mandatory parts: a narrative application in the IEEE Funding Portal (https://www.grantinterface.com/Home/Logon?urlkey=ieeecorporate) and a technical skills assessment on Zindi (https://zindi.world/competitions/GenAI-for-Good-Challenge).