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Digital Datathon From Data to Insight

Exploring Economic, Structural, and Social Indicators through DataSphere

Digital Datathon From Data to Insight
Digital Datathon From Data to Insight

Time & Location

11 Feb 2026, 21:00 – 13 Feb 2026, 06:00

University of Naples Federico II, C.so Umberto I, 40, 80138 Napoli NA, Italy

About the event


Registration & Info

Team registration: by 11 February 2026

contact: maria.iannario@unina.it


PROGRAMME 

11 February 2026 

12:30 — Opening and Datathon Introduction

  • Maria Iannario, University of Naples Federico II

  • Claudia Tarantola, University of Milan

Key Talk

  • Alessia Paccagnini, University College Dublin

    Female leadership in macroeconomics is crucial to understanding how diversity and inclusiveness can shape major financial and economic decisions. Whereas the macroeconomics leadership was largely male-dominated during earlier years, women's leadership has been on a positive upward curve in recent years. Since such a change is relatively new, evidence remains scanty and largely concentrates on how women leaders lead under uncertainty and crisis time - a period when their leadership styles can be seen and exhausted most regularly. Recent research has examined the impact of women in key leadership roles, in politics, central banks, financial regulators, and corporate boards, and how their presence has influenced and shaped uncertainty and macroeconomic crisis management. The role of female leadership can be explored through the prism of the glass ceiling, an assumption that there is a glass ceiling preventing the career growth of women, and the glass cliff, a situation in which underrepresented groups are assigned leadership positions in times of crisis to ensure a higher chance of failure. Nowadays, women hold a small share of top leadership roles globally— only 11% of Fortune 500 CEOs, 15% of the highest government positions, and 16% of senior roles in central banks. (link to slides: https://www.linkedin.com/feed/update/urn:li:activity:7427337106693394432/

  • Closing Session

    Albulena Shala, Universiteti i Prishtinës — Data Presentation

    DataSphere: A Comprehensive Database of Economic, Structural, and Social Indicators in Kosovo


About the Datathon

Teams will work with DataSphere, a comprehensive database of economic, structural, and social indicators, to develop analyses and propose data-driven insights and solutions.


Publication Opportunity

The final report will be developed into a publication opportunity for the Management & Marketing Journal (Springer Nature).

Special Issue Title: Data-Driven Insights for Economic Development and Social Impact: Evidence from Complex Socio-Economic Systems



Who can participate: Bachelor's, Master's, and PhD students (teams can be mixed).


Team size: 3–5 participants.


Timeline

  • 11 Feb 2026: Online kick-off (Teams link above)

  • 12 Feb 2026: Datasets released to all teams

  • 15 Apr 2026: Application deadline for the Datathon

  • 2 July 2026: Report submission

  • 9 Sept 2026 (16:00): Final event, team pitches, awards ceremony, and closing get-together (with catering)


Jury Members

  • Joerg Osterrieder - University of Twente, The Netherlands

  • Daniel Traian Pele - Bucharest University of Economic Studies, Romania

  • Codruța Mare - Babeș -Bolyai University, Romania

  • Belma Öztürkkal - Kadir Has University, Türkiye

  • Alessandra Tanda - University of Pavia, Italy

  • Rezarta Perri - University of Tirana, Albania

  • Alessia Paccagnini - University College Dublin, Ireland

  • Vlora Berisha -University of Peja “Haxhi Zeka”


Organizers

  • Maria Iannario (University of Naples Federico II)

  • Claudia Tarantola (University of Milan)

  • Albulena Shala (Universiteti i Prishtinës)




Sponsors & Industry Partners


Supported within Erasmus+ KA171 and the Marie Skłodowska-Curie Action (MSCA) DIGITAL project.


G-Research is a leading quantitative research and technology firm, applying scientific rigor, advanced machine learning, and cutting-edge technology to financial markets.   https://www.gresearch.com/
G-Research is a leading quantitative research and technology firm, applying scientific rigor, advanced machine learning, and cutting-edge technology to financial markets. https://www.gresearch.com/


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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe: Marie Skłodowska-Curie Actions. Neither the European Union nor the granting authority can be held responsible for them. This project has received funding from the Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101119635

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