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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Social Insurance, Informality and Labor Markets: How to Protect Workers while Creating Good Jobs

Oxford University Press, 2014.
Under the general editorship: M. Frölich, D. Kaplan, C. Pagés, J. Rigolini, D. Robalino

Most countries implement social protection programs to help individuals manage income shocks and reduce poverty. Programs can be divided into two broad categories: social insurance and social assistance. Social insurance (SI) focuses on consumption smoothing. The most common programs include unemployment benefits, old-age, disability, and survivorship pensions, as well as health insurance. Social assistance (SA) programs focus on poverty prevention and mitigation. These usually take the form of in-cash or in-kind transfers allocated on the basis of means and/or individual characteristics (e.g., age, disability), and sometimes conditioned on behaviors (e.g., regular pre-natal checkups or public works). While few would argue against the need and social merits of these programs there are growing concerns about their unintended consequences on labor markets because of poor design. The programs can distort incentives and individual behaviors in ways that either reduce employment levels and/or promote informality, ultimately affecting productivity and economic performance. For instance, high social security contribution rates can reduce formal employment; badly designed unemployment benefits can reduce incentives to keep, search, and take jobs; and fragmented social assistance programs can become a tax on formal labor and encourage informality. This book reviews the evidence regarding the effects of SI and SA programs on labor market outcomes and discusses options to improve their design and implementation. The book focuses particularly on middle income countries in Latin America and Asia with a large informal sector. These economies are characterized by a huge informal sector (often bigger than the formal sector), where workers and firms operate, often voluntarily, outside of legal regulations, and labor market structures that are different from the US and Western Europe.

Chapters
Labor Market Institutions and Informality in Transition and Latin American Countries
Lehmann H., Muravyev A., , in: Social Insurance, Informality and Labor Markets: How to Protect Workers while Creating Good Jobs.: Oxford University Press, 2014.
This chapter analyzes, using country-level panel data from transition economies and Latin America, the impact of labor market institutions on informal economic activity. The measure of informal economic activity is taken from Schneider et al (2010), the most comprehensive study to date. The data on institutions, which cover employment protection legislation (EPL), the tax wedge, ...
Added: September 11, 2024
Language: English
DOI
Keywords: social securityemploymentinsuranceinequalitypovertyinformal sectormiddle-income countries Latin America
Social Insurance, Informality and Labor Markets: How to Protect Workers while Creating Good Jobs
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