A monthly online seminar on the methodology of data science, its applications, and related governance issues
For announcements and Microsoft Teams invitations please subscribe to our Google Group.
Wednesday December 10 2025 (11AM ET - 5PM Rome time): Giorgio Tripodi, Northwestern University
Title: Trajectories and collaboration in the knowledge space
Abstract: Scientific discoveries and technological breakthroughs do not emerge in a vacuum. They are developed by individuals who follow heterogeneous career paths, engage in collaborations, and make strategic choices. Understanding scientists’ research trajectories is, therefore, a first step toward uncovering the hidden sources of creativity and innovation. In the US academic system, few institutions are more consequential than tenure. Tenure may serve as a selection mechanism (screening in high-output researchers), a dynamic incentive mechanism (stimulating pre-tenure productivity but dampening post-tenure output), and a creative search mechanism (enabling higher-risk exploration). To test these possibilities, we integrate data from seven sources to trace more than 12,000 faculty members across 15 disciplines. The analysis shows that publication rates rise sharply during the tenure track, peaking just before tenure. Post-tenure, however, trajectories diverge: lab-based fields sustain high output, while non-lab-based fields typically decline. Across fields, tenured faculty pursue more novel work but produce fewer highly cited papers. In addition, preliminary results highlight how scientific team structures and leadership roles shape collaboration outcomes and how individuals can remain productive and impactful in later career stages. Together, these findings underscore how institutional settings can influence the rate and direction of innovation, with implications for individual scholars, universities, and funding agencies.
Wednesday January 21 2026 (11AM ET - 5PM Rome time): Cory McCartan, Penn State University
Wednesday February 4 2026 (11AM ET - 5PM Rome time): Tim Lenton, University of Exeter
Wednesday March 4 2026 (11AM ET - 5PM Rome time): Sam Baugh, Penn State University
The seminars are held on Microsoft Teams (link provided through the mailing list) and last 60 minutes:
45 minutes of presentation
15 minutes of Q&A
If there is anyone you would like to hear at the L'EMbeDS Data Science Seminar Series, you may let us know here.
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!)
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
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.