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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Эффективность государственных инвестиций в публичный капитал: от модели к оценке

Полис. Политические исследования. 2014. № 6. С. 9–31.
Akhremenko A. S.

The study has two major focuses. The first one is of a methodological kind: we investigate the capabilities of a formal dynamic model to link theory and empirical estimation techniques. The other one is much more specified: we deal with the problems of public good provision and public capital accumulation and depreciation. Tying it all together, we demonstrate how formal theory can adjust the evaluation of public investment efficiency.

The first part of the paper presents the dynamic formal model construction. The core of it is Cobb-Douglas production function with public and private capital as input factors. Public capital stock is increased by budget investment inflow. A set of parameters which regulate system’s efficiency enters the model. They are total factor productivity, public investment effectiveness and the efficiency of public assets’ maintenance and utilization. We also define a special policy space of the model.

In the major part of the paper we examine the data, generated by various models with different efficiency parameter values, via Data envelopment analysis (DEA). We demonstrate that the best estimates are obtained when we use cumulative inputs (the sum of budgets investments over a few time periods). Thus we show that dynamic formal model analysis can make a practical contribution to estimation techniques’ “fine tuning”.

Research target: Mathematics Political Science, International Relations, and Public Administration Economics and Management
Priority areas: economics state and public administration humanitarian
Language: Russian
Full text
Keywords: эффективность государствабюджетные инвестицииstate efficiencyдинамическая модельоболочечный анализ данныхpublic investmentполитическое пространствоdynamical modelresource redistributionpublic capitalpolicy spaceData envelopment analysis (DEA)
Publication based on the results of:
Динамика эффективности государственного сектора: математическая модель и методика эмпирической оценки (2014)
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