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.
Why arguments about Kazakhstan's social budget are a myth, and where the budget trillions actually go, says economist Askar Kysykov.
The ESP will return in the form of a new tax: what proposals does the Ministry of Economy have? New Tax Code – draft: how can the self-employed get preferential treatment? Maximum income for the self-employed: how will the new Pensioner tax regime , health insurance, and social benefits be limited: how much will the self-employed pay?
The Government of Kazakhstan is working to grow the economy, and it is necessary to improve the quality of life of the population. The goal determines the means. Maybe the wrong goals were initially chosen in the country? In which direction should the vector of the government's policy turn in order to grow not only the economy, but also the quality of life of Kazakhstanis? We are talking about this today.
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.
Material No. 1 in the series “School in the Age of Artificial Intelligence.” TALAP Center for Applied Research, in collaboration with Global Education Futures.
Global governance practice is gradually moving away from a model in which decisions are made only after a crisis has already become visible. Governments, international organizations and major companies are increasingly focusing on the early identification of change, testing decisions against different scenarios and preparing courses of action before a situation reaches a critical stage.
