Network analysis as a tool for labor market research
The modern labor market is undergoing significant changes. The development of digital technologies, the introduction of artificial intelligence, automation, and globalization are transforming professions, and new skill requirements are emerging. This dynamic market requires tools that can account for not only individual indicators but also complex relationships between system elements. Network analysis is one such tool. ANR-Lab researchers presented a program for multimodal network analysis of job openings in the Russian labor market, developed as part of a joint project with the RosNavyk platform. ANR-Lab experts and researchers discussed its practical application at a specialized seminar. Read more in IQ Media's article.
Science and Business: Integration Recipes. How to Build Mutually Beneficial Collaboration
The Science Day "Organization & People" was recently held on the SberUniversity campus, providing a platform for dialogue between researchers from leading universities and business representatives. Daria Maltseva, Head of the International Laboratory for Applied Network Research at HSE University, and Anna Kartasheva, a research fellow at the laboratory, presented a paper on network analytics for identifying trends and managing teams. For World Science Day, November 10, in IQ Media column, Anna Kartasheva explored how scientific research provides new methods for analyzing team behavior and identifying hidden patterns, which can be valuable for businesses in decision-making and talent management.
Members of the International Laboratory for Applied Network Research at the Open Data Forum in Kazan
Researchers from the International Laboratory for Applied Network Research presented a case "Network Analysis for Labor Market Research: A Case Study of Data Analysis from the RosNavyk Platform." During the official part of the event, the Laboratory received a commendation for its collaboration with the Big Data Consortium and its contribution to organizing a series of seminars on the application of network analysis.
We invite you to a continuing education course in network analysis.
ANR-lab is launching a new professional development program, "Networks Around Us: How to Analyze Interactions and Influences Using Network Analysis." Participants will be able to master network analysis methodology in just one month for use in their research projects.
Laboratory team held a master class on network analysis of the labor market at an expert session in Ufa.
ANR-Lab Deputy Head Irina Pavlova and Research Assistant Daniil Kovalev participated in an expert analytical session dedicated to the workforce needs of the chemical industry. The event took place on October 2-3, 2025, in Ufa with the support of the University Consortium of Big Data Researchers and the Russian Union of Chemists as part of the national project "New Materials and Chemistry."
DASS and ANR-Lab launched a Magolego course on social networks in R for graduate students
The Data Analytics and Social Statistics (DASS) educational programme and the International Laboratory for Applied Network Research, with support from HSE Online, have launched an English-language course in the Magolego module, "Social Network Analysis with R." The course focuses on network analysis methodology in R and is open to both DASS students and other HSE Master's students.
Laboratory team presented a report at Science Day at SberUniversity.
Daria Maltseva and Anna Kartasheva discussed network analytics tools for trend detection and team management.
The ANR Lab seminar 'Network Analysis for Labor Market Research' was held within the framework of the Big Data Consortium.
On September 18, the second seminar of the International Laboratory for Applied Network Analysis at the HSE University was held as part of a network project for the University Consortium of Big Data Researchers.
ANR-Lab researcher Anna Kartasheva made a comment on RBC (РБК)
An employee of ANR-Lab spoke in the program “День.Главное”, dedicated to the problem of trust in artificial intelligence