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Language Proficiency
Address: 11 Myasnitskaya Ulitsa, room 444
ORCID: 0000-0002-5255-8773
ResearcherID: HTN-3351-2023
Office hours
10 AM - 7 PM
P. Lobanova
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Mariia Antasheva

  • Mariia Antasheva has been at HSE University since 2022.


  • Working with the iFORA big data mining system
  • Identification and analysis of trends based on semantic analysis
  • Industry research



HSE University

Continuing education / Professional retraining / Internships / Study abroad experience

2021 - 2022 years: language internship at Fudan University, Shanghai, China (Chinese Government Scholarship)
2022 year: Chinese Proficiency Test (HSK) Level 6 certificate, HSKK Advanced (高级) certificate

Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2023-2024)


Timetable for today

Full timetable

First-year students talk about winning the competitive selection for the Combined Master's-PhD track 2023

Today, first-year students of our program - Maria Antasheva and Nikita Terekhin - agreed to devote time and share their experience in the selection for the Combined Master's-PhD track

Open Online Seminar “Three Decades of India’s Economic Reforms: A Review of Development and Social Outcomes”

On April 13, 2023, an open online seminar was held at the Faculty of World Economy and International Affairs within the framework of the project "India and the challenges of Global Politics", which was devoted to the Three Decades of India’s Economic Reforms.

Dr. Solodkova and Dr. Olga Kharina at the Asian Festival 'Asian Flavor: From Riyadh to Tokyo'

Dr. Olga Solodkova and Dr. Olga Kharina participated in the Festival within the framework of the Indian line and organized a number of events dedicated to India.

The Center for Strategic Analytics and Big Data held an autumn series of webinars on the topic of human potential research

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.