HSE Researchers Create Software to Analyze Russia’s Job Market
A new program developed by scientists at the Higher School of Economics (HSE University) is designed to collect, analyze, and model job market data in real time. The system could help transform how Russian authorities, educators, and employers understand workforce needs and plan future skills development.
A New Tool for Labor Market Health
A team of researchers from HSE University’s Laboratory for Applied Network Analysis—Daniil Kovalev, Irina Pavlova, and Daria Maltseva—has developed a program for automated data collection and multimodal network modeling of job postings from the RosNavyk platform.
The new software identifies labor market structures, assesses the demand for specific skills, professions, and employers, and visualizes connections between key labor market elements such as specializations, employers, skills, and regions.
Within Russia, this system could significantly enhance HR analytics, career counseling, and the planning of educational programs. By mapping real-time demand and relationships, users will be better equipped to align workforce skills with market needs.
In practical terms, it enables more accurate forecasting of skill distribution and demand across industries, helping universities and policymakers improve their workforce strategies. Such analytical approaches are already transforming Russia’s HRTech sector, where big data and network modeling are increasingly applied to employment analytics.
Toward a National Analytical Platform
The new HSE tool could soon be integrated into the RosNavyk platform, giving both federal and regional governments a powerful data-driven instrument for monitoring labor market dynamics.
Universities and training institutions would be able to adjust curricula to match real industry needs, while regional authorities could develop more precise retraining programs. For employers and recruiters, the program enables deeper insight into skill-specialty-employer interconnections, improving both hiring and staff development strategies.
In the longer term, Russian IT companies and research institutions may offer similar analytics solutions in external markets—especially in CIS countries and emerging economies with comparable labor market challenges. While any export version would require adapting to local labor data systems and compliance regulations, the underlying methodology could serve as a valuable foundation for international collaborations.
Global Context and Future Prospects
Globally, labor market analytics has become a fast-evolving field. Studies such as Japan’s 2020 'Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs' illustrate how time-based network visualization helps track hiring dynamics.
Between 2022 and 2024, both Russian and international research increasingly focused on automating labor market analytics and HR data aggregation—signaling the growth of HRTech as a data science discipline. HSE’s new tool builds on this international momentum, positioning Russia as a key player in data-driven workforce analytics. Over the next two years, the HSE software is expected to be deployed nationwide through RosNavyk.
By 2030, developers anticipate upgrades such as predictive analytics and AI integration, allowing the system to forecast which skills will be most in demand within 3–5 years.
