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July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
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HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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A Decision Phases of a Supply Chain Management: A Proposed Decision Support System to Boost Organizational Decision Making

International Journal of Engineering & Technology (UAE). 2018. Vol. 7. No. 2.28. P. 157–159.
Desmond D.K. Attadjei, Yash Madhwal, Peter B. Panfilov

A powerful and effective store network administration sites, a smooth running of a business, quality items or potential benefits, consequently escalating client trust and business picks up. To land at this phase in an association's business outgrowth all rely upon the best choices that must be taken to move the correct way. These choices are normally aftereffects of past events and outside information that have been incorporated to give data or learning. For this reason, a decision support system is hereby proposed to be able to pool data from the 3 main decision Phases of a Supply Chain Management - (1) Supply chain Design (Strategy) phase, (2) Decision in Supply Chain Planning (Management) phase, and (3) Operational level phase. This Proposed framework is pointed and boosting basic leadership process, by giving brought together data to help the hierarchical basic leadership process.

Research target: Engineering and Technology
Priority areas: business informatics
Language: English
DOI
Text on another site
Keywords: системы поддержки принятия решенийdecision support systems supply chain managementDecision PhasesDecision ModelМенеджмент цепочек поставокФазы процесса принятия решенийМодель процесса принятия решений
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