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Codruta Mare

Babes-Bolyai University, Faculty of Economics and Business Administration, Department of Statistics-Forecasts-Mathematics, 58-60, Teodor Mihali str., 400591, Cluj-Napoca, Romania, and the Interdisciplinary Centre for Data Science, 68, Avram Iancu str., 400083, 4th floor, Cluj-Napoca, Romania

Babes-Bolyai University

Ania Zalewska.jpg

About

Codruța MARE is Prof. of Statistics and Econometrics at the Dep. of Statistics-Forecasts-Mathematics, PhD coordinator in Cybernetics and Statistics, and the Scientific Director of the Interdisciplinary Centre for Data Science, Babes-Bolyai University, Cluj-Napoca, Romania. She is currently the Grant Award Coordinator and MC member for Romania of the Cost Action CA 19130 FinAI – Fintech and Artificial Intelligence in Finance – Towards a Transparent Financial Industry, 2020-2024, fin-ai.eu. She is also leader of the WP1 ”Towards a European Data Space” and co-coordinator of the Diversity Team of the project “Digital Finance - Reaching New Frontiers (DIGITAL)”, project number 101119635 through the Horizon Europe Marie Skłodowska-Curie Actions for Industrial Doctoral Networks (MSCA DN). Her interests are related to Econometrics and Spatial Econometrics applied for daily life. She has also conducted data analysis research and consultancy for public institutions (The World Bank, European Commission, Romanian Ministry of Structural Funds, Cluj-Napoca City Hall, etc.) and for private companies, both SMEs and multinational corporations. Among others, she is one of the co-authors of the Romanian FinTech Report, which is the first attempt to assess the features of the Romanian FinTech sector.

Key Achievements and Outputs

Publications in famous scientific journals, Creation of the Magnetism Index for Romanian Cities (World Bank), member in several research projects, GAC and VMS of CA19130, WP1 leader ofr MSCA DN DIGITAL, keynote speaker in different conferences, member in juries for best paper award, jury member for the RoFinTech awards 2024, Co-author of the Romanian FinTech Report

Research Interests

Econometrics, Data Modelling, Data Analysis

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