Research

A dialogue between scientific disciplines, to enhance the social impact of data

ISI Foundation is a nonprofit research institution committed to interdisciplinary data-driven science and scientific knowledge at the service of society.

The Foundation operates globally, leveraging decades of expertise in computational sciences, complex systems, data science, and aiming to impact domains spanning sustainable development, public health, economic inequality, and humanitarian response.

Latest publications

Towards a global machine learning based impact model for tropical cyclones

Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, Monica L. Turner
Natural Hazards Earth System Sciences, 309–329, 24, 1, (2024)

Estimating household contact matrices structure from easily collectable metadata

Lorenzo Dall’Amico, Jackie Kleynhans, Laetitia Gauvin, Michele Tizzoni, Laura Ozella, Mvuyo Makhasi, Nicole Wolter, Brigitte Language, Ryan G. Wagner, Cheryl Cohen, Stefano Tempia, Ciro Cattuto
Plos One (2024)

What does a text classifier learn about morality? An explainable method for cross-domain comparison of moral rhetoric

Enrico Liscio, Oscar Araque, Lorenzo Gatti, Ionut Constantinescu, Catholijn Jonker, Kyriaki Kalimeri, Pradeep Kumar Murukannaiah
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 14113–14132, 1, (2023)

Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference

Alberto Aleta, Juan Luis Blas-Laína, Gabriel Tirado Anglés, Yamir Moreno
BMC Medical Research Methodology, 23, 24, (2023)

The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections

Arthur Capozzi, Gianmarco De Francisci Morales, Yelena Mejova, Corrado Monti, André Panisson
WWW ’23: Proceedings of the ACM Web Conference 2023, 2852–2862, (2023)

The Pursuit of Peer Support for Opioid Use Recovery on Reddit

Duilio Balsamo, Paolo Bajardi, Gianmarco De Francisci Morales, Corrado Monti, Rossano Schifanella
Proceedings of the International AAAI Conference on Web and Social Media, 17, (2023)

Towards a global machine learning based impact model for tropical cyclones

Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, Monica L. Turner
Natural Hazards Earth System Sciences, 309–329, 24, 1, (2024)

Estimating household contact matrices structure from easily collectable metadata

Lorenzo Dall’Amico, Jackie Kleynhans, Laetitia Gauvin, Michele Tizzoni, Laura Ozella, Mvuyo Makhasi, Nicole Wolter, Brigitte Language, Ryan G. Wagner, Cheryl Cohen, Stefano Tempia, Ciro Cattuto
Plos One (2024)

Education

Data talent to face complexity

The ISI Foundation offers high-profile postgraduate and postdoctoral research opportunities, including the decade-long Lagrange Scholarships program. Its research emphasizes collaborative partnerships with universities, industry, and public sector actors, providing a training environment that is closely linked to impact stakeholders.

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Community

Building collaborative communities for transforming knowledge into action

Leveraging its global and cross-disciplinary scientific network, the ISI Foundation is a hub for fundamental and applied research in complex systems, data science and their application to address societal challenges. Through partnerships and collaborative projects, the Foundation serves as a vital link, bridging the gap between academic research and practical impact stakeholders in data science. Committed to fostering a culture that is informed by data and nurturing valuable relationships, the ISI Foundation aims at driving positive societal change.

LATEST

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Projects