Background, methodology & lessons learned
Reflections from applying structured, AI-assisted change in official statistics — combining standards-based methodologies with the AI-CATCH approach.
By Mogens Grosen Nielsen & Lars Thygesen | May 2026
Reflections from the IAOS 2026 Conference in Vilnius: how AI-CATCH turns statistical standards into practice by acting as a communication partner for guided problem solving and organisational learning.
Read the full post →By Mogens Grosen Nielsen | April 2026
On 23 April 2026, I contributed at Wolfson College, Cambridge for the first-ever Wolfson Tool Factory meeting—an experimental workshop dedicated to the co-production of theory-based management and consulting tools.
Read the full post →By Mogens Grosen Nielsen | February 2026
From the Scandinavian Luhmann Forum at Aarhus University: how organisations can work with AI and GenAI without losing control over decisions, responsibility and legitimacy — and why taming the algorithms means preserving the organisation’s own decision-making capacity.
Read the full post →By Mogens Grosen Nielsen | November 2025
Quality in official statistics just got a new ally — AI. In the first AI-CATCH reflection post, we introduce why managing statistical quality is so challenging and how generative AI, combined with structured facilitation, can help organisations move from frameworks to action.
Read the full post →More reflections coming soon.
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