The Ministry of Education and Science will allocate 29.4 billion rubles to launch the Scrub and Serafim digital services
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The Ministry of Education and Science will allocate 29.4 billion rubles. to launch digital services. They are needed to reduce the negative impact of the isolation of Russian science and education from the international community. Among the new solutions will be systems that will allow universities to analyze the personnel situation in real time in the context of specialties, as well as build forecasts for the development of the labor market for five years in advance. Theoretically, it is possible to develop such systems, but the quality of analytics over such a long horizon is unlikely to be high, experts warn.
“Kommersant” got acquainted with the document “Strategic Direction of Digital Transformation of the Branch of Science and Higher Education”, published by the Ministry of Education and Science on GAIS “Upravlenie” on August 4. It lists the challenges facing the industry and plans to launch digital services to address them. Among the problems are the ban on the international exchange of experience in the field of high technologies with Russian scientific and educational institutions, the rise in the cost of paid higher education for citizens, as well as “intellectual emigration, or, in other words, the relocation of a large number of research specialists abroad.”
In addition to the launch and development of digital services that should automate admission to universities, the transfer of services to the Gostech platform, etc., the strategy involves the development and launch of systems based on big data, AI and predictive analytics that systematize labor market analysis and development “customized educational plans”. We are talking about the “Scrub” system – it should, by automatically collecting data from various sources, provide universities with the situation on the labor market, a forecast for changes in demand for personnel over a five-year horizon, and also compare the competencies of graduates with the requests of employers.
The second project, Serafim, involves the creation of a Russian AI framework (a set of tools for product development) that will allow universities to design educational programs: “Research teams receive a domestic tool for developing AI models for research, attracting interdisciplinary specialists and scientists.” Judging by the document, the development and operation of both tools will cost 6.4 billion rubles. until 2030.
The Ministry of Education and Science explained to Kommersant that the document “is at the stage of interdepartmental coordination with the responsible federal executive authorities.”
The problem of adjusting curricula at the request of employers is confirmed in universities. Undergraduate and graduate studies take four plus two years, which leads to a gap in the constantly changing requirements of the labor market with the competencies that students receive, notes the head of the Digital Transformation Department of the Russian University of Economics. G. V. Plekhanov Mikhail Nachevsky.
In many regional mid-level universities, programs, especially in the field of IT, are determined primarily by the capabilities of the teaching staff, specifies i. O. Viktor Radygin, Head of the Department of Digital Development at NRNU MEPhI: “Taking into account low regional salaries, this often leads to a discrepancy between the real market demand and the supply of universities. In some, you can still find programming in the languages of the last century.”
The development of a system that allows predictive analysis of the needs of the labor market is a real, “but very resource-intensive undertaking,” given the conditions of “geopolitical turbulence, which has a strong effect,” says Maxim Evdokimov, product director at hh.ru.
Forecasts of changes in the labor market are made by analysts and hr-services, but their planning horizon is shorter – a year or two, not everyone will dare to risk five years, notes Irina Bibik, head of the SimbirSoft QA department: “The predictive model is real, if you do not refer to such a forecast as a 100% truth: there are a lot of factors, the totality of which no model can predict.” It is technically possible to analyze and predict changes in the labor market, Dmitry Babchuk, the information security director of Ultimate Education, objects: “For this, you can use data from job search services and educational projects. Analyzing new areas of study, the demand for specialists and pay, it is possible to build correlations with a high degree of probability.” But the expert admits that on the horizon of five years, “such studies may have errors.”
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