Research

Exploring boundaries:
advancing data science at the intersection of disciplines

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Latest publications

HealthOther
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Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic

Brennan Klein, Timothy LaRock, Stefan McCabe, Leo Torres, Lisa Friedland, Maciej Kos, Filippo Privitera, Brennan Lake, Moritz U. G. Kraemer, John S. Brownstein, Richard Gonzalez, David Lazer, Tina Eliassi-Rad, Samuel V. Scarpino, Alessandro Vespignani, Matteo Chinazzi
PLoS Digital Health3(2), e0000430 (2025)
Sustainable Development
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Towards a global impact-based forecasting 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 Sciences24(1), 309–329 (2024)
Other
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The social stratification of internal migration and daily mobility during the COVID-19 pandemic

Erick Elejalde, Leonardo Adrian Ferres, Victor Navarro, Loreto Bravo, Emilio Zagheni
Scientific Reports14, 12140 (2024)
HealthOther
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Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research

James Shaw, Joseph Ali, Caesar A. Atuire, Phaik Yeong Cheah, Armando Guio Español, Judy Wawira Gichoya, Adrienne Hunt, Daudi Jjingo, Katherine Littler, Daniela Paolotti, Effy Vayena
BMC Medical Ethics25, 46 (2024)
Computational Social ScienceHealth
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Political context of the European vaccine debate on Twitter

Giordano Paoletti, Lorenzo Dall’Amico, Kyriaki Kalimeri, Jacopo Lenti, Yelena Mejova, Daniela Paolotti, Michele Starnini, Michele Tizzani
Scientific Reports 14, 4397 (2024)
Other
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On the need for a multi-dimensional framework to measure accessibility to urban green

Alice Battiston, Rossano Schifanella
npj Urban Sustainability4, 10 (2024)
Other
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Modeling teams performance using deep representational learning on graphs

Francesco Carli, Pietro Foini, Nicolò Gozzi, Nicola Perra, Rossano Schifanella
EPJ Data Science13(7), (2024)
Data ScienceNetwork Science
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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, , Cheryl Cohen, Stefano Tempia, Ciro Cattuto
PLoS ONE19(3), e0296810 (2024)
HealthOther
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A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US

Matteo Chinazzi, Jessica T. Davis, Ana Pastore Y Piontti, Kunpeng Mu, Nicolò Gozzi, Marco Ajelli, Nicola Perra, Alessandro Vespignani
Epidemics47, 100757 (2024)
HealthOther
PDF ↓

Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic

Brennan Klein, Timothy LaRock, Stefan McCabe, Leo Torres, Lisa Friedland, Maciej Kos, Filippo Privitera, Brennan Lake, Moritz U. G. Kraemer, John S. Brownstein, Richard Gonzalez, David Lazer, Tina Eliassi-Rad, Samuel V. Scarpino, Alessandro Vespignani, Matteo Chinazzi
PLoS Digital Health3(2), e0000430 (2025)
Sustainable Development
PDF ↓

Towards a global impact-based forecasting 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 Sciences24(1), 309–329 (2024)
Other
PDF ↓

The social stratification of internal migration and daily mobility during the COVID-19 pandemic

Erick Elejalde, Leonardo Adrian Ferres, Victor Navarro, Loreto Bravo, Emilio Zagheni
Scientific Reports14, 12140 (2024)
see all publications ↗

At ISI Foundation, fundamental and applied research is carried out with an interdisciplinary, problem-driven approach. The scientific activity of the Foundation focuses on the frontiers of data science, computational modeling and their impact on society, integrating ideas and tools from multiple interrelated fields that span Complex Systems Science, Network Science, Artificial Intelligence, and Computational Social Science.

The Foundation stands as a crossroads of disciplines and expertise, advocating for the exchange and integration of knowledge and embracing an approach that transcends, by design, established disciplinary boundaries.

ISI Foundation facilitates and supports dialogues between data owners (industry, public administration, citizens), knowledge actors, and impact stakeholders (global agencies, public administration, nonprofits), fostering collaborative efforts to uncover knowledge and design innovative solutions for outstanding challenges in public health and sustainable development.

The researchers of the Foundation pursue their own path of inquiry with broad freedom, exploring the subject areas and topics they deem most promising to tackle the complex challenges of our times.

Artificial intelligence

Computational Social Science

Health

Network science

Sustainable development

Other fields

respicast

sustainable development

Scientists at ISI Foundation investigate problems where quantitative knowledge has the potential to positively impact society. This includes leveraging both conventional and unconventional data sources to identify societal challenges, and employing a combination of mathematical modeling and artificial intelligence to conceptualize various scenarios and drive effective policies. Focus areas include, but are not limited to, public health, inequality and poverty, gender equality, humanitarian response, the quality of democracy, the future of cities, human mobility, and the various facets of sustainable development.

Each of these impact directions is daunting and requires access to relevant domain expertise. To this end, the Foundation leverages its institutional and professional network to weave collaborations and partnerships to access relevant datasets and domain expertise, and to direct its research along directions that matter. Capitalizing on its culture of rigorous mathematical modeling of complex systems, the Foundation aims at producing explainable research output, to better support responsible and inclusive decision-making.

Related Projects

Verdi Hero

VERDI

VERDI – SARS-coV2 variants Evaluation in pRegnancy and paeDIatrics cohorts
Stamina Hero

STAMINA

STAMINA develops an intelligent decision support toolset for pandemic prediction and management and demonstrates its use by practitioners at national and regional levels within and across EU borders.
Icarus

ICARUS – Aviation-driven Data Value Chain for Diversified Global and Local Operations

ICARUS will build a novel data value chain in the aviation-related sectors towards data-driven innovation and collaboration across currently diversified and fragmented industry players, acting as multiplier of the “combined” data value that can be accrued, shared and traded, and rejuvenating the existing, increasingly non-linear models  processes in aviation.
Influweb Hero

Influenzanet & Influweb

Influenzanet is a system designed to monitor the activity of influenza-like-illness (ILI) with the aid of volunteers via the Internet.
Gleamviz

GLEAMviz

The global epidemic and mobility model, Gleam, combines real-world data on populations and human mobility with elaborate stochastic models of disease transmission to deliver analytic and forecasting power to address the challenges faced in developing intervention strategies that minimize the impact of potentially devastating epidemics.

Gender and Urban Mobility: Addressing Unequal Access to Urban Transportation for Women and Girls

Mobility, or the extent to which one can reach a desired destination, is one of our most basic needs. Access to mobility is also a prerequisite toward human development and having access to equal opportunities. As such mobility is a complex, gendered issue that requires a multidimensional, data-driven approach to fully unpack and offer insights on the way forward for decision-makers.
Evogames Hero

EvoGamesPlus

Evolutionary games and population dynamics: from theory to applications

Data Collaboratives

The term data collaborative refers to a new form of collaboration, beyond the public-private partnership model, in which participants from different sectors — including private companies, research institutions, and government agencies — can exchange data to help solve public problems. In the coming months and years, data collaboratives will be essential vehicles for harnessing the vast stores of privately held data toward the public good.
Verdi Hero

VERDI

VERDI – SARS-coV2 variants Evaluation in pRegnancy and paeDIatrics cohorts
Stamina Hero

STAMINA

STAMINA develops an intelligent decision support toolset for pandemic prediction and management and demonstrates its use by practitioners at national and regional levels within and across EU borders.
Icarus

ICARUS – Aviation-driven Data Value Chain for Diversified Global and Local Operations

ICARUS will build a novel data value chain in the aviation-related sectors towards data-driven innovation and collaboration across currently diversified and fragmented industry players, acting as multiplier of the “combined” data value that can be accrued, shared and traded, and rejuvenating the existing, increasingly non-linear models  processes in aviation.
Influweb Hero

Influenzanet & Influweb

Influenzanet is a system designed to monitor the activity of influenza-like-illness (ILI) with the aid of volunteers via the Internet.
Gleamviz

GLEAMviz

The global epidemic and mobility model, Gleam, combines real-world data on populations and human mobility with elaborate stochastic models of disease transmission to deliver analytic and forecasting power to address the challenges faced in developing intervention strategies that minimize the impact of potentially devastating epidemics.

Gender and Urban Mobility: Addressing Unequal Access to Urban Transportation for Women and Girls

Mobility, or the extent to which one can reach a desired destination, is one of our most basic needs. Access to mobility is also a prerequisite toward human development and having access to equal opportunities. As such mobility is a complex, gendered issue that requires a multidimensional, data-driven approach to fully unpack and offer insights on the way forward for decision-makers.
Evogames Hero

EvoGamesPlus

Evolutionary games and population dynamics: from theory to applications

Data Collaboratives

The term data collaborative refers to a new form of collaboration, beyond the public-private partnership model, in which participants from different sectors — including private companies, research institutions, and government agencies — can exchange data to help solve public problems. In the coming months and years, data collaboratives will be essential vehicles for harnessing the vast stores of privately held data toward the public good.
see all projects ↗

Computational and mathematical modeling for envisioning a better future

The Foundation’s approach is deeply rooted in the mathematical modeling culture derived from statistical physics and complex systems science. It integrates ideas and modern methods from data science, network science, and artificial intelligence. These combined skills facilitate the development of new ways to understand the progression of socio-technical systems. Integrating heterogeneous data layers into computational frameworks, the foundation focuses on the assessment of the impact of decisions and policies, which are instrumental in shaping strategies for improved societal outcomes.

Central to the ISI Foundation culture is the creation of models that are both explainable and transparent to support decision-making in the face of uncertainty and complex relations between decisions and outcomes.

Public Health

Health is a crucial domain where the effectiveness of research directly impacts collective societal well-being. Through its initiatives, the ISI Foundation has emerged as an international reference for the study and modeling of epidemics and pandemics and for devising effective policy responses. Its pioneering expertise is centered on computational and digital epidemiology, along with the design and development of comprehensive disease monitoring and forecasting tools. These tools are adopted by European and global health agencies, including the European Center for Disease Control and the World Health Organization.

Related Projects

SIESTA

Secure Interactive Environments for SensiTive data Analytics

AWaRe 1

A Global Low- and Middle-Income Country Primary Care (PC) Antimicrobial Stewardship Trial using the WHO AWaRe system
Verdi Hero

VERDI

VERDI – SARS-coV2 variants Evaluation in pRegnancy and paeDIatrics cohorts
Respicast Hero

RespiCast

European Respiratory Diseases Forecasting Hub (RespiCast)
Influcast Hero

InfluCast

Influcast forecasts the evolution of influenza-like-illnesses by aggregating predictions from multiple models  
Escape Hero

ESCAPE

Pandemic Preparedness and Response

COVID-19 Real Time Epidemiology I-DAIR Pathfinder

COVID-19 Real Time Epidemiology I-DAIR Pathfinder is an interdisciplinary project funded by the Botnar Foundation 
Stamina Hero

STAMINA

STAMINA develops an intelligent decision support toolset for pandemic prediction and management and demonstrates its use by practitioners at national and regional levels within and across EU borders.
Canp Hero

CANP – Casa Nel Parco

CANP will investigate and devise advanced analytics and artificial intelligence techniques on top the development of an integrated ICT platform to harmonise data collection from heterogeneous sources ranging from medical IoT sensors and behavioural data to electronic health records.
Periscope Hero

Periscope

Pan-European Response to the Impacts of COVID-19 and future Pandemics and Epidemics
Pandem Hero

PANDEM-2

Pandemic Preparedness and Response
Influweb Hero

Influenzanet & Influweb

Influenzanet is a system designed to monitor the activity of influenza-like-illness (ILI) with the aid of volunteers via the Internet.
Gleamviz

GLEAMviz

The global epidemic and mobility model, Gleam, combines real-world data on populations and human mobility with elaborate stochastic models of disease transmission to deliver analytic and forecasting power to address the challenges faced in developing intervention strategies that minimize the impact of potentially devastating epidemics.

EpiPose

Epidemic intelligence to minimize COVID-19’s public health, societal and economical impact.  

SIESTA

Secure Interactive Environments for SensiTive data Analytics

AWaRe 1

A Global Low- and Middle-Income Country Primary Care (PC) Antimicrobial Stewardship Trial using the WHO AWaRe system
Verdi Hero

VERDI

VERDI – SARS-coV2 variants Evaluation in pRegnancy and paeDIatrics cohorts
Respicast Hero

RespiCast

European Respiratory Diseases Forecasting Hub (RespiCast)
Influcast Hero

InfluCast

Influcast forecasts the evolution of influenza-like-illnesses by aggregating predictions from multiple models  
Escape Hero

ESCAPE

Pandemic Preparedness and Response

COVID-19 Real Time Epidemiology I-DAIR Pathfinder

COVID-19 Real Time Epidemiology I-DAIR Pathfinder is an interdisciplinary project funded by the Botnar Foundation 
Stamina Hero

STAMINA

STAMINA develops an intelligent decision support toolset for pandemic prediction and management and demonstrates its use by practitioners at national and regional levels within and across EU borders.
Canp Hero

CANP – Casa Nel Parco

CANP will investigate and devise advanced analytics and artificial intelligence techniques on top the development of an integrated ICT platform to harmonise data collection from heterogeneous sources ranging from medical IoT sensors and behavioural data to electronic health records.
Periscope Hero

Periscope

Pan-European Response to the Impacts of COVID-19 and future Pandemics and Epidemics
Pandem Hero

PANDEM-2

Pandemic Preparedness and Response
Influweb Hero

Influenzanet & Influweb

Influenzanet is a system designed to monitor the activity of influenza-like-illness (ILI) with the aid of volunteers via the Internet.
Gleamviz

GLEAMviz

The global epidemic and mobility model, Gleam, combines real-world data on populations and human mobility with elaborate stochastic models of disease transmission to deliver analytic and forecasting power to address the challenges faced in developing intervention strategies that minimize the impact of potentially devastating epidemics.

EpiPose

Epidemic intelligence to minimize COVID-19’s public health, societal and economical impact.  
see all projects ↗

Lagrange Project

Lagrange Laboratory

CRT Foundation, a co-founding partner and main funder of the institute, supports the work of ISI Foundation through a targeted initiative, the Lagrange Project, that comprises research, training and community building actions. The research and innovation component of the Lagrange Project is the Lagrange Laboratory and is organized in four broad interdisciplinary areas: Computational and Digital Epidemiology, Computational Social Science, Data for Social Impact and Sustainability, Complex Systems and Data Science.

learn more ↗
Horizon Europe

European Projects

An active role in research, innovation, and collaboration

ISI Foundation takes part in many collaborative projects supported by the European Commission’s competitive funding frameworks for research and innovation, and it is the recipient of targeted tenders by European agencies. Over the course of the last decade, the partnership network of the Foundation has comprised more than 150 partners across most EU countries, creating a lasting network of exchanges that has brought many of those partner institutions to visit the city of Turin, and has provided young researchers with international career opportunities.

Related Sections

Education

Research grants, European projects, university collaborations: ISI Foundation’s initiatives for a high-level training network.

Community

From the international scientific network to the link with the nonprofit world, ISI Foundation is an active hub between universities, companies, and institutions—committed to facilitating processes of change.