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.
The “Economic Multiplier” series. Part 4. A vehicle assembled locally can enrich foreign suppliers—or help build domestic industry. How is a full-cycle cluster taking shape around Kostanay’s car plants? From iron casting and reduction gears to domestically produced body sheet, software and university-based engineering training.
The “Economic Multiplier” series. Part 5. Rapid industrial growth inevitably runs into shortages of power and logistics capacity. How are the Tobyl dry port, 1.2 GW of new wind generation and the revival of Arkalyk as a transport hub ceasing to be just construction projects and becoming direct factors of regional economic expansion?
The “Economic Multiplier” series. Part 6. A factory can be built in two years—but who will run it? We examine the concept of “economic gravity”: why the Astana residential district, international university programmes, hotels and healthcare are not simply social expenditure, but key investments in retaining talent and closing the region’s development cycle.
Kazakhstan uses a modern survey instrument to assess trust and safety. Its results are substantive, but they require greater methodological transparency.
Material No. 1 in the series “School in the Age of Artificial Intelligence.” TALAP Center for Applied Research, in collaboration with Global Education Futures.
Material No. 2 in the series “School in the Age of Artificial Intelligence.” TALAP Center for Applied Research in partnership with Global Education Futures.
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.
