The HSE University in Perm summarized the results of the hackathon on the application of AI in HR technologies
From June 3 to 10, the “Application of Artificial Intelligence to Solve Labor Market Problems” hackathon was held at the HSE University in Perm. The event brought together students and young professionals from various universities. The results were summarized and the winners were awarded at the workshop "AI for Solving Applied Problems," where the application of AI in the HR sphere was discussed. The hackathon was organized by the International Laboratory of Intangible-driven Economy and the Laboratory for Labour Market Studies.
The hackathon was organized as part of the “Science Nearby” thematic initiative of the Decade of Science and Technology in the Russian Federation. This initiative is implemented by the beneficiary university of the interuniversity student campus, “The Future of Parma,” which is part of the “Soul of Parma” thematic program. Participants worked to solve two urgent tasks: classifying vacancies by codes from the All-Russian Classification of Occupations and automating candidate selection.
The hackathon had two tracks aimed at digitizing HR processes:
Track 1 focused on predicting OKZ codes from job titles. Participants developed models that matched the wording of job titles with the four-digit codes of the OKZ classification system. These models will improve labor market analysis, predict demand for occupations, and optimize personnel regulation.
Track 2 focused on developing an algorithm to automatically match resumes with job openings. The goal was to minimize the time spent searching for suitable candidates and job openings while taking into account applicants' experience, skills, and preferences.
The work was done using real data sets, including job titles, résumés, and company requirements. Participants applied their machine learning, natural language processing (NLP), and analytics skills to develop algorithms that will benefit employers and job seekers in the future.
Workshop and award ceremony for the hackathon winners
On June 10, HSE University in Perm held a workshop titled "AI for Solving Applied Problems." Dmitry Yakimtsev, the head of HR analytics and reporting at Alfa-Bank JSC, explained how AI can improve recruitment, combat employee burnout, and optimize vacation scheduling. Andrey Savchenko, the managing director of data research at Sber AI Lab, presented the new services that Sberbank's Center for Practical Artificial Intelligence is currently developing. Pavel Travkin, Deputy Vice Rector of HSE University and senior researcher at the Laboratory for Labour Market Studies, discussed current labor market trends, the demographic crisis, and potential solutions.
After the coffee break, a roundtable discussion was held with experts and workshop participants to analyze the presented solutions and discuss prospects for implementation. Representatives of two laboratories—the International Laboratory of Intangible-driven Economy and the Laboratory for Labour Market Studies —discussed the potential of using the results in current and future labor market analytics projects. For instance, the solution to the problem of defining the OKZ based on the text of a job listing, from the first track of the hackathon, will enable the comparison of the number of job listings in the context of OKZ with statistical information.
The workshop also included a gala awards ceremony for the hackathon winners. The leaders included:
Track #1
1st place - team «Балерино Капучино» (Yulia Popova);
2nd place - team «Акселот» (Andrei Staroverov);
3rd place - team «Great Stars» (Ismoilov Aziz and Kolmogorov Dmitry).
Track #2
1st place — team «ИИмба» (Maria Falaleeva and Gordey Fedonyuk);
2nd place — Platon Kapustin;
3rd place — team «Ошибка 404» (Maria Murzina, Alina Nurtdinova, and Alexei Kushnaryov.).
Winners and runners-up were invited to participate in AI projects, and all participants received certificates. Diplomas were awarded to those with the best solutions.
The event became a platform for sharing knowledge and finding innovative solutions. Participants noted that working with real data and experts allowed them to deepen their skills in machine learning and analytics. The hackathon demonstrated how AI can improve recruiting efficiency and simplify job search.
We congratulate the winners and runners-up and wish good luck to all participants in further professional development!
Platon Kapustin, silver medalist of Track 2
Everything went well! I liked the workshop and the interesting task with real data. I felt excited. The task was challenging, especially the subtleties of text and data processing, but valuable. The easiest part was familiarizing myself with the data and the initial solutions. The organization was top-notch. Thanks for the experience! It would be great to participate again!
Dmitry Kolmogorov, member of Great Stars team, bronze medalist of Track 1
We tried two or three different methods to solve the problem. We enjoyed the process and would like to participate again to try something new and achieve a better result. Overall, the experience was positive. However, we faced some difficulties during the process. It was challenging to determine which approach to develop further and how to improve the model. But we did it!