Collaborative Workshop & Research Agenda

The final day of CLAIR is designed as a focused working and synthesis forum, with the explicit ambition of producing a shared and lasting outcome of the conference. Day 3 is structured in two consecutive parts.

‍Part I: Parallel Work Streams – Deepening the Perspectives

The morning begins with four parallel work streams, each aligned with one of CLAIR’s core perspectives:

1. AI and the scientific & engineering method
2. Leadership, governance, and accountability
3. Critical thinking in algorithmic environments
4. Organizational and cultural transformation in R&D

Each work stream brings together a cross-sector mix of participants, including keynote speakers, abstract contributors, senior practitioners, and academic experts. Sessions are supported by experienced facilitators and are designed to move beyond discussion toward:

• shared problem framing
• identification of key tensions and open questions
• articulation of priority areas for further inquiry

‍Part II: Synthesis and the CLAIR Research Agenda

In the second part of Day 2, outputs from the four work streams are brought together in a joint synthesis session.

This synthesis is academically supported through IMIT’s research foundations, ensuring rigor, conceptual coherence, and continuity. IMIT-connected academics support the structuring, integration, and formalization of the outputs.

The explicit outcome is the development of a CLAIR Research Agenda:

• articulating shared research questions and leadership challenges
• identifying priority areas for cross-industry and cross-disciplinary research
• outlining directions for continued collaboration and learning

All Day 2 participants will be acknowledged as co-authors of the CLAIR Research Agenda (White Paper).

‍Outcome and Continuity

The CLAIR Research Agenda serves as:

• a tangible output of the inaugural conference, and
• a guiding framework for future research collaborations and the development of the CLAIR 2027 conference agenda.

Together, the three days are designed to move from research landscape → leadership dialogue → joint direction, positioning CLAIR as a long-term, research-informed, cross-industry leadership platform.

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