Open AccessUSING LABOR MARKET DATA FOR ANALYSIS AND EDUCATION
Author(s) -
I. Filozova,
Yu. Gavrilenko,
A. V. Ilina,
J. Javadzade,
V. Korenkov,
Daria Priakhina,
T. R. Velieva
Publication year - 2021
Publication title -
9th international conference "distributed computing and grid technologies in science and education"
Language(s) - English
Resource type - Conference proceedings
DOI - 10.54546/mlit.2021.32.48.001
Subject(s) - computer science , raw data , task (project management) , supply and demand , work (physics) , data science , market research , set (abstract data type) , market analysis , knowledge management , marketing , engineering , business , systems engineering , economics , microeconomics , mechanical engineering , programming language
Education systems provide specialists of different levels and specializations for the labor market. However, in the modern dynamic world of artificial intelligence, pandemic, and remote work, the labor market is evolving dramatically from year to year. Universities and colleges must keep track of these changes to adapt educational programs and manage the number of student slots offered for different specializations. Detailed demand statistics from the labor market are a good data source for analysis to gauge current needs and predict future demand. Usually, there is no single source of data on all vacancies and CVs. Therefore, it is necessary to collect, preprocess, analyze and visualize existing fragmented data. In this work, we study different raw data sources, their strong and weak points. A set of basic metrics is proposed to be derived from the data for analysis. Several types of roles are defined as primary users of the aimed system, their features and standard use cases. A conceptual system design is proposed to fulfill the requirements of the labor market analysis task. The evolutionary prototypes of the services are presented.