Digital Datathon From Data to Insight
Exploring Economic, Structural, and Social Indicators through DataSphere
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.
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.
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
Report submission: (use the date from the updated files provided for publication)
9 Sept 2026 (16:00): Final event, team pitches, awards ceremony, and closing get-together (with catering)
Organizers
Maria Iannario (University of Naples Federico II)
Claudia Tarantola (University of Milan)
Albulena Shala (Universiteti i Prishtinës)
Supported within Erasmus+ KA171 and the Marie Skłodowska-Curie Action (MSCA) DIGITAL project.