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Mini Track Chair:
This special track will bring together innovative methodologies and diverse perspectives to tackle the complexities of modern labor markets shaped by digital transformation and Industry 4.0. Cutting-edge approaches, including Artificial Intelligence (AI), Natural Language Processing (NLP), Semantic Web technologies, and Agent-Based Modeling (ABM), are nowadays at the forefront of analyzing and predicting labor market dynamics, in addition to more traditional approaches such as quantitative and qualitative methods. A strong emphasis on bridging disciplines is needed in order to investigate skill demand-supply alignment, the digitalization of job markets, and adaptive policymaking. The track aims to generate actionable insights for stakeholders spanning academia, industry, and policymaking. Contributions that advance knowledge in creating knowledge graphs for job market analysis, improving skill extraction algorithms, and simulating employment scenarios to support informed decision-making and promote inclusive growth are particularly encouraged.
The main topics covered by the hereby call for papers are related to:
Petre Caraiani
is Senior Researcher at the Institute for Economic Forecasting as well as a PhD advisor and professor at the School for Advanced Studies, Romanian Academy. His research focuses on modeling macroeconomic and financial phenomena with a focus on the links between the two. He has published many articles in peer-reviewed journals, including Economics Letters, Journal of Macroeconomics, Empirical Economics, Economic Modelling and International Review of Economics & Finance. His main topics of interest include business cycles, forecasting, nonlinear modeling and networks.
Liviu-Adrian COTFAS
is a Professor with the Department of Economic Cybernetics and Informatics at the Bucharest University of Economic Studies, where he also earned his Ph.D. and Habilitation in Economic Informatics. Dr. Cotfas’s research interests span machine learning and deep learning techniques, natural language processing, social media analysis, agent-based modeling, recommender systems, semantic web, and grey systems theory. He has published over 50 articles in renowned journals and presented his findings at more than 30 international conferences. Additionally, he is the author of several books and book chapters and has actively contributed to numerous national and international research projects. A recipient of multiple research awards, Dr. Cotfas’s work has also been mentioned in mainstream media outlets such as Wired magazine and The New York Times. He is an active member of the Grey Uncertainty Analysis Association and serves as an Associate Editor for leading journals, including IEEE Access, PLOS One, and Grey Systems: Theory and Application. He has been an Invited Professor at the University of Technology Belfort-Montbéliard (France) and University of Franche-Comté (France) and a visiting fellow at the University of Naples Federico II (Italy).
Camelia DELCEA
is a Professor at the Bucharest University of Economic Studies, the Department of Economic Cybernetics and Informatics, Bucharest, Romania. She received her Ph.D. degree in economic cybernetics and statistics from the same university. She received 41 international and national awards, including the Best Paper Award, the Opera Omnia for Excellent Scientific Research Award, the Georgescu Roegen for Excellent Scientific Research Award, the Excellent Paper Award, and the Top Reviewer Award. She was invited to deliver keynote speeches on grey systems themes in 2013, 2016, 2017, 2018, 2020, and 2022. She is an Associate/Academic Editor at the following journals: IEEE Access, Plos One, Frontiers in Public Health, Operations Research Forum, Health and Social Care in the Community, International Journal of Grey Systems, Management Science Business Decisions, Advances in Civil Engineering, and Grey Systems Theory and Application. Her research works have been mentioned in Wired and the New York Times. In 2023, she was featured on EveryONE—the official blog of the Plos One Journal.
