An applied research center that helps people navigate a changing economy. We analyze what is happening, understand how technology is changing it, and help prepare for the future.
We do not simply offer services. We solve real problems faced by the state, business, and civil society in conditions of uncertainty.
Open to collaboration, expert dialogue, and joint projects. Write to us — we’ll tell you more and discuss how we can be of help.
A working version of the research report “The Carbon Farming Industry in Kazakhstan: Unlocking Opportunities”, prepared jointly with the International Center for Competition Law and Policy of the BRICS at the Higher School of Economics and the International Institute for Applied Systems Analysis (IIASA).
On August 29, 2023, the TALAP Center for Applied Research Public Foundation presented the research "Business Climate of the New Time" at the forum "Stagnation or the New 90s" in Astana: how will SMEs develop?"
Material No. 7, the final material in the series “School in the Age of Artificial Intelligence.” TALAP Center for Applied Research in partnership with Global Education Futures.
Japan is launching a five-year program to develop a national multimodal AI model for robots and autonomous manufacturing: 378.3 billion yen in the first year, annual stage-gate audits, and the transfer of trained weights to the entire ecosystem. We break down the program based on primary sources — and what Kazakhstan should take note of.
By Decree of the President No. 1311 of 9 June 2026, the Nationwide Strategy for Large-Scale Digitalization and the Comprehensive Deployment of AI Technologies, “Digital Qazaqstan,” was approved until 2029. TALAP analyzed the document: what goals and indicators it sets, how it differs from previous programs, and what it means for citizens, business, and the state.
The third material documents a practical test of the approach against the economic agenda of Q1 2026.
The fourth material concludes the series on the development of the TALAP Center’s Expert Signal Radar. The infographic shows how expert data move from the initial corpus to signal nodes, the radar, cascades, and management interpretation.
