Corvinus University of Budapest

Institute of Data Analytics and Information Systems

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Hungary 🇭🇺

The Institute of Data Analytics and Information Systems (IDAIS) aspires to be a leading knowledge hub in Hungary in the fields of data science, theoretical and applied mathematics, business informatics, and statistics, while also standing out as a center of excellence within the wider region.

The Institute is structured around six departments: Computer Science, Infocommunication, Information Systems, Mathematics, Network Science, and Statistics. It maintains close collaboration with the Doctoral School of Economics, Business and Informatics, strengthening its academic and research activities.

Research at IDAIS is driven by eleven dedicated teams, including the Center for Cognitive Infocommunications, Corvinus FinTech Center, Digital Transformation Center, and Network Science Center, among others.

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Prof. Dr. Andrea Kő

Current Research Initiatives

The Hungarian Association of CIOs and the Institute of Data Analysis and Informatics at Corvinus University of Budapest jointly conduct an annual survey

examining the state of corporate IT in Hungary. The study covers IT budgets, development strategies, digitalisation efforts, the alignment between technology and organisational competencies, and the challenges companies face in the evolving digital landscape.

The Measuring the Readiness of Construction Organisations for Technology Adaptation Using Artificial Intelligence project

launched in 2024; Funding organisation: Ministry of Culture and Innovation, Hungary; Source: NRDI Fund) focuses on assessing technology readiness and digital transformation within the construction sector.

Digimeter 2025 project

measures the level of digitalisation among Hungarian small and medium-sized enterprises (SMEs) annually, providing insights into their progress and challenges in adopting digital technologies.

AI Next: New Paradigm in AI Transformation & Application (2024-1.2.3-HU-RIZONT-2024-00030)

is a two-year research project running from 2025, exploring the transformative impacts and practical applications of artificial intelligence. The project is conducted in collaboration with The Chinese University of Hong Kong and the University of Washington.

COLINE – Complex Links of Neighbourhoods (Driving Urban Transition, HORIZON- CL5-2021-D2-01-16)

commenced in 2025 and focuses on reshaping urban living through the integration of architecture, mobility, and economics to foster sustainable cities. By leveraging mobile data and artificial intelligence, the project aims to enhance neighbourhood amenities, mitigate segregation, and advance climate objectives.

The Building Blocks of the Digital Economy project

launched in 2024; Funding organisation: Ministry of Culture and Innovation, Hungary; Source: NRDI Fund) investigates the creation, combination, and diffusion of technological components underpinning the digital economy. Using large-scale datasets on software libraries and programming language usage, it seeks to uncover the dynamics driving digital innovation.

Recent Publications

Fire susceptibility assessment in the Carpathians using an interpretable framework (2025)

Manczinger, M., Kovács, L., & Kovács, T.

Scientific Reports, 15(1), 30207.
Quantifying barriers of urban mobility (2025)

Pintér, G., & Lengyel, B.

Cities, 167, 106322.
Exploring digital transformation strategy to achieve SMEs resilience and antifragility: a systematic literature review (2025)

Sagala, G. H., & Őri, D.

Journal of Small Business & Entrepreneurship, 37(3), 495-524.
Examining the synergies between industry 4.0 and sustainability dimensions using text mining, sentiment analysis, and association rules (2025)

Saleh, M. A. S., & AlShafeey, M.

Sustainable Futures, 9, 100423.
Investment Recommender System Model Based on the Potential Investors’ Key Decision Factors (2025)

Asemi, A., Asemi, A., & Ko, A.

Big Data, 13(3), 197-218.
Isometries and isometric embeddings of Wasserstein spaces over the Heisenberg group (2025)

Balogh, Z. M., Titkos, T., & Virosztek, D.

Revista Matemática Iberoamericana, 41(6), 2055-2084.
A Novel AI‐Driven Expert System for Obesity Diagnosis and Personalised Treatment (2025)

Li, X., & Asemi, A.

CAAI Transactions on Intelligence Technology.