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Illustration for news: The expedition “Regional support measures as a factor of realization of reproductive intentions by example of Khanty-Mansiysk Autonomous Okrug - Yugra”

The expedition “Regional support measures as a factor of realization of reproductive intentions by example of Khanty-Mansiysk Autonomous Okrug - Yugra”

From July 28 to August 9, 2024, as part of the Student Expeditions Program of the Educational Initiatives Foundation of the HSE University “Rediscovering Russia”, the staff of the International Laboratory for Population and Health organized an expedition in the Khanty-Mansi Autonomous Okrug - Yugra, dedicated to the study of fertility and reproductive intentions. The expedition heads - Alexey Shchur and Vera Sokolova with a team of 10 students, including postgraduate demographers, students of the master's program “Demography”, bachelor's programs “Sociology”, “Geography of Global Change and Geoinformation Technologies”, visited Khanty-Mansiysk, Surgut, Kogalym, as well as the Russkinskaya village of Surgut district.
The purpose of the expedition was to study what factors (socio-economic, infrastructural, personal) determine the gap between the wanted number of children and the actual (expected) one, and to how much regional measures to support families influence reproductive decision-making. During the expedition, more than 900 respondents were interviewed and expert meetings were held with relevant departments and organizations that develop and implement demographic policy in the region.

Illustration for news: Autumn School “Population and Health 2023”

Autumn School “Population and Health 2023”

From October 16 to 20, the International Laboratory for Population and Health of HSE University, Human Capital Multidisciplinary Research Center and the Strategic Project «National Centre of Science, Technology and Socio-Economic Foresight» held the Autumn School “Population and Health 2023”. More than 20 students, graduate students and young scientists took part in the school. Participants became familiar with approaches to measuring health, mortality data, measures of inequality and current studies, and gained practical experience in calculating various indicators in statistical software R.