2022 marked 20 years since the HSE Institute for Statistical Studies and Economics of Knowledge has been founded. To celebrate this 20th Anniversary, we selected key events and facts in ISSEK’s history that sparked reflective discussions in academia, set new milestones for HSE University, or encouraged development in various sectors of the Russian economy and public life.
News
In autumn 2022, a series of three webinars that presented the study of human capital from different angles based on big data mining was launched by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) of the Higher School of Economics at the Human Capital Multidisciplinary Research Centre. The speakers shared their experience of working with big data in different languages, including Chinese, and also demonstrated a wide functional range of the iFORA system through the prism of studying human capital and its components.
On June 22, 2022, the HSE Institute for Statistical Studies and Economics of Knowledge held a webinar within the framework of the Human Capital Multidisciplinary Research Centre program. It presented the possibilities of using the tools of the iFORA big data mining system to identify global and Russian trends related to human potential development.
Based on the analysis of big data, the Institute for Statistical Studies and Economics of Knowledge (ISSEK) of the Higher School of Economics has identified the most significant digital technologies already used or introduced in the global and Russian manufacturing industry.
As the situation with COVID-19 has shown, mistakes associated with insufficiently developed policy measures in medicine, science, education and other socially significant sectors of the economy are very costly for society. In the July issue of Nature, First Vice-Rector, HSE ISSEK Director Leonid Gokhberg discussed the topic of the growing practice of making management decisions based on big data analysis.
A new supercomputer, which has been recently set up at MIEM, will allow the university to carry out high quality research in deep learning and mathematical modeling. The computer was ranked sixth in the April Top-50 ranking of supercomputers in Russia.
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