L'EMbeDS Data Science Seminar Series

Topics

The seminars will span a broad range of topics concerning data science methodology, its applications in various domains, and related governance issues. These include, but are not limited to:

• Methodological innovation: Developments in areas such as machine/statistical learning; approaches to enhance reproducibility, interpretability and privacy; causal inference; Bayesian statistics; techniques for high-dimensional and structured data; time series and longitudinal data analysis; spatial statistics; functional data analysis; simulation models and methods; synthetic data generation; etc.

• Data- and computation-driven research: Instances of how data science methodology empowers research and facilitate the solution of real-world problems in diverse domains such as economics, finance, development and the study of inequalities; climate change and its environmental and socio-economic impacts; public policy and the study of social systems; STI (Science, Technology & Innovation) studies; biomedical research, public health, and the study of healthcare systems; ageing, demographic shifts and their impacts; etc.

• Governance and regulatory frameworks: Examination of how data science intersects with governance challenges and the development of appropriate regulatory responses in areas such as privacy and accountability in data and algorithmic regulation; individual and intellectual property rights; regulation of data-driven technologies, digital markets and platforms; digitalization of public administration and services;  cybersecurity; etc.

(seminars providing original literature reviews are also welcome!)

Organizers & contacts

• Irina Carnat, Sant'Anna School of Advanced Studies

• Matteo Coronese, Sant'Anna School of Advanced Studies

• Lorenzo Testa, Carnegie Mellon University

• Francesca Chiaromonte, Sant'Anna School of Advanced Studies and Penn State University

Acknowledgments

We gratefully acknowledge the community of the L'EMbeDS Department of Excellence at Sant'Anna School of Advanced Studies, Pisa, Italy. Our seminar series is inspired by similar initiatives, such as the Online Causal Inference Seminar, the International Seminar in Selective Inference, etc.