Plan

Planned Activities and Timeline
The ColibrAI project will run for 15 months, focusing on network building, interdisciplinary collaboration, and research planning. The project is structured into four key phases, ensuring tangible outcomes while laying the groundwork for future large-scale funding applications.

Project Phases and Expected Outcomes
Phase 1: Establishing Collaboration and Knowledge Exchange
- Organization of online meetings to align expectations, define common research goals, and capture the expertise of the partners.
- Conduct a literature and initiative review to assess existing community-centric AI research and identify gaps, published through a collaborative and public platform.
- Host online sessions for knowledge exchange.
- Develop a public research gap report summarizing key insights from the literature review to establish a shared foundation for future work.
- Define a preliminary funding roadmap, identifying key grant calls and aligning research priorities for later stages.
- Establish a shared research repository for findings and references to facilitate collaboration (repository structure will be defined based on partner needs).
Phase 2: Research Agenda Development and Public Engagement
- Integrate discussions on participatory AI, co-liberation, and ethical AI governance into partner universities' courses through guest lectures and online discussions.
- Organize a one-day online workshop on participatory AI, labor rights, and decentralized decision-making, engaging researchers, civil society groups, policymakers, and industry representatives.
- Identify potential joint research projects and interdisciplinary synergies.
- Begin drafting initial research concepts, integrating knowledge exchange activities and stakeholder feedback.
Phase 3: In-Person Workshop and Research Planning
- Host a two-day in-person workshop at KTH, bringing together researchers, PhD students, and external experts to refine research directions and strengthen collaboration.
- Finalize at least two joint research concepts to be developed into larger grant applications.
- Develop small collaborative publications (e.g., blog posts, essays, or short research papers) to increase ColibrAI's visibility and attract broader participation.
- Produce a white paper on participatory AI governance, summarizing workshop findings and research directions intended for policy and research dissemination.
Phase 4: Proposal Development and Future Funding Strategy
- Identify and assess potential funding opportunities, with an emphasis on Horizon Europe, ERC, MSCA, and NordForsk grants.
- Draft joint research proposals, ensuring a clear division of writing responsibilities among partners.
- Develop a risk mitigation plan, identifying alternative funding sources (e.g., smaller grants, industry partnerships, or pilot projects).
- Finalize a roadmap for the continuation of ColibrAI, ensuring long-term research sustainability beyond the seed funding phase.
Expected Outcomes
- Established a research network on participatory AI, fostering interdisciplinary collaboration across KTH, Aalto, and TUDa.
- Engaged researchers, students, and community members through online sessions, workshops, and teaching activities.
- Developed a formal research roadmap, integrating AI, participatory design, and decolonial perspectives.
- Produced blog posts and white paper on participatory AI governance to inform future research and policy discussions.
- Finalized joint research concepts for larger-scale funding applications.
- Strengthened Unite!’s research capacity in community-centric AI, establishing new academic and policy collaborations.
- Positioned the project for future large-scale funding, ensuring long-term sustainability.