Seminars
“D2 Seminar Series” is a series of seminars organized by the Florence Center for Data Science that invites members and fellows of the Center (and not only) to present their current researches or academic work. It takes place twice a month, Fridays from 23.30 pm. People are invited to attend and the registration (free of charge) is available one week before the event on the website (under the Events page).
“Special Guest Seminar Series” is a particular seminar series organized by the Florence Center for Data Science that invites researchers and distinguished academicians from external university institutions to hold a lecture about their current research or academic work. It takes place several times during the year. People are invited to attend and the registration (free of charge) is available one week before the event on the website (under the Events page).
Recordings 3rd Edition D2 Seminar Series

Seminar Alberto Cassese & Chiara Bocci

Seminar Augusto Cerqua & Marco Letta

Seminar Elena Stanghellini & Gianluca Iannucci

Seminar Nicola Del Sarto & Andrea Mercatanti

Seminar Giacomo Toscano & Gabriele Fiorentini

Seminar Monica Bianchini & Giulio Bottazzi

Seminar Gianmarco Bet & Agnese Panzera

Seminar Alessio Brini & Matteo Pedone

Seminar Claudio Durastanti & Cecilia Viscardi
Recordings of YR Seminar Series
Past Recordings
3rd Edition D2 Seminar Series
DiSIA Xmas Lecture 2022
22th of December 2022, from 11:00 AM 13.30 pm:
The Department of Statistics, Computer Science, Applications “G. Parenti” together with the Florence Center for Data Science organized the 2023 Christmas Lecture:
Fabrizia Mealli –Professor of Statistics at the Department of Statistics, Informatics, Applications “G. Parenti” – DiSIA of the University of Florence hold a lecture on
“Causal inference: past, present, future“
Click here to download the slides of the lecture.
Kosuke Imai  "Special Guest Seminar Series"
7TH OF October 2022, FROM 10.3011.30 PM:
Kosuke Imai – Harvard University will present a seminar on
“Statistical Inference for Heterogeneous Treatment Effects and Individualized Treatment Rules Discovered by Generic Machine Learning in Randomized Experiments“
Abstract: Researchers are increasingly turning to machine learning (ML) algorithms to estimate heterogeneous treatment effects (HET) and develop individualized treatment rules (ITR) using randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain HET or produce efficacious ITR under practical settings with many covariates and small sample size. In addition, the quantification of estimation uncertainty remains a challenge. We develop a general approach to statistical inference for estimating HET and evaluating ITR discovered by a generic ML algorithm. We utilize Neyman's repeated sampling framework, which is solely based on the randomization of treatment assignment and random sampling of units. Unlike some of the existing methods, the proposed methodology does not require modeling assumptions, asymptotic approximation, or resampling methods. We extend our analytical framework to a common setting, in which the same experimental data is used to both train ML algorithms and evaluate HET/ITR. In this case, our statistical inference incorporates the additional uncertainty due to random splits of data used for crossfitting.
Here you can download the slides of the Seminar.
Data Science Xmas Lecture 2021
16th of December 2021, from 34.30 pm:
Marina Vannucci – Noah Harding Professor of Statistics, Rice University holds a lecture on
“Bayesian Models for Microbiome Data with Variable Selection“
Abstract: I will describe Bayesian models developed for understanding how the microbiome varies within a population of interest. I will focus on integrative analyses, where the goal is to combine microbiome data with other available information (e.g. dietary patterns) to identify significant associations between taxa and a set of predictors. For this, I will describe a general class of hierarchical DirichletMultinomial (DM) regression models which use spikeandslab priors for the selection of the significant associations. I will also describe a joint model that efficiently embeds DM regression models and compositional regression frameworks, in order to investigate how the microbiome may affect the relation between dietary factors and phenotypic responses, such as body mass index. I will discuss the advantages and limitations of the proposed methods with respect to current standard approaches used in the microbiome community and will present results on the analysis of real datasets. If time allows, I will also briefly present extensions of the model to mediation analysis.
Click here for all the information to participate
“Young Researchers Seminar Series” is a particular seminar series organized by the Florence Center for Data Science that invites young researchers and Ph.D. students to hold a lecture about their current research or academic work. It takes place several times during the year. People are invited to attend and the registration (free of charge) is available one week before the event on the website (under the Events page).
Seminar Alberto Cassese & Chiara Bocci
17th OF March 2023, FROM 2.304 PM:
Alberto Cassese from the Department of Statistics, Computer Science, Applications “G. Parenti” of the University of Florence presented a seminar on
“Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data”
Chiara Bocci from the Department of Statistics, Computer Science, Applications “G. Parenti” of the University of Florence presented a seminar on
“Sampling design for largescale geospatial phenomena using remote sensing data”
Click here to access the abstracts of the seminar
Seminar Augusto Cerqua & Marco Letta
3rd OF March 2023, FROM 2.304 PM:
Augusto Cerqua and Marco Letta from the Department of Statistical Sciences, Sapienza University of Rome presented a seminar on
“”Losing control (group)? The Machine Learning Control Method for counterfactual forecasting”.”
Click here to access the abstracts of the seminar
Riccardo Michielan
28th OF February 2023, FROM 2.304 PM:
Riccardo Michielan from University of Twente presented a seminar on
“Is there geometry in real networks?”
Click here to access the abstracts of the seminar
Seminar Elena Stanghellini & Gianluca Iannucci
17th OF February 2023, FROM 2.304 PM:
Elena Stanghellini from Department of Economics, University of Perugia presented a seminar on
“Causal effects for binary variables: parametric formulation and sensitivity”
Gianluca Iannucci from the Department of Economics and Management, University of Florence presented a seminar on
“The interaction between emission tax and insurance in an evolutionary oligopoly”
Click here to access the abstracts of the seminar
Seminar Nicola Del Sarto & Andrea Mercatanti
3rd OF February 2023, FROM 2.304 PM:
Nicola Del Sarto from the Department of Economics and Management of the University of Florence presented a seminar on
“One size does not fit all. Business models heterogeneity among Internet of Things architecture layers”
Andrea Mercatanti from the Department of Statistical Sciences, Sapienza University of Rome presented a seminar on
“A Regression Discontinuity Design for ordinal running variables: evaluating Central Bank purchases of corporate bonds.” (Joint work with F. Li, T. Makinen, A. Silvestrini)
Click here to access the abstracts of the seminar
Seminar Giacomo Toscano & Gabriele Fiorentini
20TH OF January 2023, FROM 2.304 PM:
Giacomo Toscano from the Department of Economics and Management of the University of Florence presented a seminar on
“Central limit theorems for the Fouriertransform estimator of the volatility of volatility”
Gabriele Fiorentini from the Department of Statistics, Computer Science, Applications “G. Parenti” of the University of Florence presented a seminar on
“Specification tests for nonGaussian structural vector autoregressions“
Click here to access the abstracts of the seminar
Iavor Bojinov
29TH OF JUNE 2022, FROM 45 PM:
Iavor Bojinov – Harvard Business School presented a seminar on
“Design & Analysis of Dynamic Panel Experiments“
Abstract: Over the past few years, firms have begun to transition away from the static single intervention A/B testing into dynamic experiments, where customers’ treatments can change over time within the same experiment. This talk will present the designbased foundations for analyzing such dynamic (or sequential experiments), starting with the extreme case of running an experiment on a single unit—what’s known as timeseries experiments. Next, motivated by my work to understand if humans or algorithms are better at executing large financial trades, I will lay out a framework for designing and analyzing switchback experiments, a special case of timeseries experiments. Then, I will explain how to extend this framework to multiple units and what happens when these units are subject to population interference (the setting where one unit’s treatment can impact another’s outcomes). Finally, if time allows, I will conclude with a brief discussion of an empirical study that leveraged over 1,000 experiments conducted at LinkedIn to quantify the additional benefits of adopting dynamic experimentation.
Seminar Monica Bianchini & Giulio Bottazzi
25TH OF NOVEMBER 2022, FROM 2.304 PM:
Monica Bianchini from the Department of Information Engineering and Mathematics of the University of Siena presented a seminar on
“A gentle introduction to Graph Neural Networks”
Giulio Bottazzi from the Institute of Economics of the Sant'Anna School of Advanced Studies of Pisa presented a seminar on
“Persistence in firm growth: inference from conditional quantile transition matrices“
Click here to access the abstracts of the seminar
Dante Amengual
17th of June 2022, from 23 pm:
Dante Amengual – CEMFI presented a seminar on
“Hypothesis tests with a repeatedly singular information matrix“
Abstract: We study scoretype tests in likelihood contexts in which the nullity of the information matrix under the null is larger than one, thereby generalizing earlier results in the literature. Examples include multivariate skewnormal distributions, Hermite expansions of Gaussian copulas, purely nonlinear predictive regressions, multiplicative seasonal time series models, and multivariate regression models with selectivity. Our proposal, which involves higherorder derivatives, is asymptotically equivalent to the likelihood ratio but only requires estimation under the null. We conduct extensive Monte Carlo exercises that study the finite sample size and power properties of our proposal and compare it to alternative approaches.
Seminar Gianmarco Bet & Agnese Panzera
11TH OF November 2022, FROM 2.304 PM:
Gianmarco Bet from the Department of Mathematics and Computer Science “Ulisse Dini” of the University of Florence presented a seminar on
“Detecting anomalies in geometric networks”
Agnese Panzera from the Department of Statistics, Computer Science, Applications “G. Parenti” of the University of Florence presented a seminar on
“Density estimation for circular data observed with errors“
Click here to access the abstracts of the seminar
Seminar Alessio Brini & Matteo Pedone
28TH OF OCTOBER 2022, FROM 2.304 PM:
Alessio Brini from Duke University Pratt School of Engineering presented a seminar on
“Reinforcement Learning Policy Recommendation for Interbank Network Stability
(joint work with Gabriele Tedeschi and Daniele Tantari)”
Matteo Pedone from the Department of Statistics, Computer Science, Applications “G. Parenti” of the University of Florence presented a seminar on
“A Bayesian nonparametric approach to personalized treatment selection“
Click here to access the abstracts of the seminar
Seminar Claudio Durastanti & Cecilia Viscardi
14th OF October 2022, FROM 23.30 PM:
Claudio Durastanti from the Department of Basic and Applied Sciences for Engineering (SBAI) of Sapienza University presented a seminar on
“Spherical Poisson Waves”
Cecilia Viscardi from the Department of Statistics, Computer Science, Applications “G. Parenti” of the University of Florence presented a seminar on
“Likelihoodfree Transport Monte Carlo“
Click here to access the abstracts of the seminar
2nd Edition D2 Seminar Series
Seminar Georgia Papadogeorgou & Joseph Antonelli
13th OF may 2022, FROM 1011.30 PM:
Georgia Papadogeorgou from the Department of Statistics of the University of Florida presented a seminar on
“Unmeasured spatial confounding”
Joseph Antonelli from the Department of Statistics of the University of Florida presented a seminar on
“Heterogeneous causal effects of neighborhood policing in New York City with staggered adoption of the policy“
Click here to access the abstracts of the seminar
Seminar Andrea Barucci & Alessandra Mattei
22nd of April 2022, from 23.30 pm:
Andrea Barucci from IFACCNR Institute of Applied Physics presented a seminar on
“Exploring Egyptian Hieroglyphs with Convolutional Neural Networks”
Alessandra Mattei from the Department of Statistics, Computer Science, Applications “G. Parenti”, University of Florence presented a seminar on
“Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs (Joint work with Laura Forastiere e Fabrizia Mealli)“
Click here to access the abstracts of the seminar
Seminar Fabio Schoen & Alessandro Panunzi & Lorenzo Gregori
8TH OF April 2022, FROM 34.30 PM:
Fabio Schoen from the Department of Information Engineering, University of Florence presented a seminar on
“Clustering for Optimization, Optimization for Clustering”
Alessandro Panunzi & Lorenzo Gregori from the Department of Humanities, University of Florence presented a seminar on
“Towards action concepts identification through unsupervised and semisupervised clustering on a multimodal crosslinguistic ontology“
Click here to access the abstracts of the seminar
Seminar Brunero Liseo & Ernesto De Vito
25TH OF March 2022, FROM 2.304 PM:
Brunero Liseo from the Department of Methods and Models for Economics, Territory, and Finance of Sapienza University presented a seminar on
“ABCC: Approximate Bayesian Conditional Copulae (with Clara Grazian and Luciana Dalla Valle)”
Ernesto De Vito from the Department of Mathematics of the University of Genova presented a seminar on
“Understanding Neural Networks with Reproducing Kernel Banach Spaces“
Click here to access the abstracts of the seminar
Seminar Daniela Bubboloni
11TH OF FEBRUARY 2022, FROM 2.003.00 PM:
Daniela Bubboloni from the Department of Mathematics and Computer Science “Ulisse Dini” presented a seminar on
“Paths and flows for centrality measures in networks“
You can download the full paper here
Click here to access the abstracts of the seminar
Click here to access the Q&A
Seminar Marco Pangallo & Fiammetta Menchetti
25th OF February 2022, FROM 2.304 PM:
Marco Pangallo from the Sant’Anna School of Advanced Studies presented a seminar on
“Making a housing market agentbased model learnable“
Fiammetta Menchetti from the Department of Statistics, Computer Science, Applications “G. Parenti” presented a seminar on
“Combining counterfactual outcomes and ARIMA models for policy evaluation“
Click here to access the abstracts of the seminar
Seminar Fabio Corradi & Michela Baccini
11th OF February 2022, FROM 2.304 PM:
Fabio Corradi from the Department of Statistics, Computer Science, Applications “G. Parenti” of the University of Florence presented a seminar on
“Learning the two parameters of the PoissonDirichlet distribution with a forensic application“
Michela Baccini from the Department of Statistics, Computer Science, Applications “G. Parenti” presented a seminar on
“Combining and comparing regional epidemic dynamics in Italy: Bayesian metaanalysis of compartmental models and model assessment via Global Sensitivity Analysis“
Click here to access the abstracts of the seminar
Seminar Lorenzo Seidenari & Francesco Calabrò
28th of January 2022, from 2.304 pm:
Lorenzo Seidenari from the Department of Information Engineering of the University of Florence presented a seminar on
“Predicting Multiple Future Trajectories for Safe SelfDriving Cars“
Francesco Calabrò from the Department of Mathematics and Applications “Renato Caccioppoli” of the University of Naples “Federico II” presented a seminar on
“The use of neural networks for the resolution of Partial Differential Equations“
Click here to access the abstracts of the seminar
Seminar Andrea Marino & Raffaele Guetto
10th of December 2021, from 23.30 pm:
Andrea Marino from the Department of Statistics, Computer Science, Applications “G. Parenti” presented a seminar on
“Italy's lowestlow fertility in times of uncertainty“
Raffaele Guetto from the Department of Statistics, Computer Science, Applications “G. Parenti” presented a seminar on
“Approximating the Neighborhood Function of (Temporal) Graphs“
Click here to access the abstracts of the seminar
Seminar Giorgio Ricchiuti & Marco Bertini
26th of November 2021, from 23.30 pm:
Giorgio Ricchiuti from the Department of Economics and Management presented a seminar on
“State Space Model to Detect Cycles in Heterogeneous Agents Models“
Marco Bertini from the Department of Information Engineering presented a seminar on
“High quality video experience using deep neural networks”
Click here to access the abstracts of the seminar
Seminar Luigi Brugnano & Veronica Ballerini
12th of November 2021, from 23.30 pm:
Luigi Brugnano from the Department of Mathematics and Computer Science “Ulisse Dini” presented a seminar on
“Recent advances in bibliometric indexes and their implementation“
Veronica Ballerini from the Department of Statistics, Computer Science, Applications “G. Parenti” presented a seminar on
“Fisher's Noncentral Hypergeometric Distribution for the Size Estimation of Unemployed Graduates in Italy“
Click here to access the abstracts of the seminar
Seminar Giulia Iorio & Massimo Fornasier
29th of October 2021, from 23.30 pm:
Giulia Iorio from the Department of Economics, School of Social Science of the City University of London presented a seminar on
“Performancebased research funding: Evidence from the largest natural experiment worldwide“
Massimo Fornasier from the Department of Mathematics of the Technical University of Munich presented a seminar on
“Consensusbased optimization“
Click here to access the abstract of the seminar
Seminar Leonardo Bargigli & Chiara Marzi
15th of October 2021, from 23.30 pm:
Leonardo Bargigli from the Department of Economics and Management, University of Florence presented a seminar on
“Endogenous and Exogenous Volatility in the Foreign Exchange Market (with G. Cifarelli)”
Chiara Marzi from the Institute of Applied Physics ‘Nello Carrara’ (IFAC) – National Research Council (CNR) presented a seminar on
“Artificial Intelligence in Neuroimaging”
Click here to access the abstracts of the seminar
Click here to access the recording of the seminar
1st Edition D2 Seminar Series
Seminar Anna Gottard & Costanza Conti
2nd of July – FROM 23.30 PM
Anna Gottard from the Department of Statistics, Computer Science, Applications “G. Parenti” presented a seminar on
“Circular data, conditional independence & graphical models”
Costanza Conti from the Department of Industrial Engineering presented a seminar on
“Penalized hyperbolicpolynomial splines” (Joint work with: Rosanna Campagna, Universit`a degli Studi della Campania “L. Vanvitelli”)
Click here to access the abstracts of the seminar
Seminar Enrico Ravera & Gherardo Chirici
18th of June 2021, from 23.30 pm
Enrico Ravera from the Magnetic Resonance Center (CERM) and Department of Chemistry presented a seminar on
“From algebra to biology: what does the math of ensemble averaging methods can tell us”
Gherardo Chirici from the research unit COPERNICUS Earth Observation and Spatial Analysis and the Department of Agriculture, Food, Environment, and Forestry presented a seminar on
“Big data from space. Recent Advances in Remote Sensing Technologies”
Click here to access the abstracts of the seminar
Seminar Cesare Bracco & Leonardo Boncinelli
4th of June 2021, from 23.30 pm
Cesare Bracco from the Department of Mathematics and Computer Science “Ulisse Dini”, University of Florence presented a seminar on
“Scattered data: surface reconstruction and fault detection” (joint work with O. Davydov, C. Giannelli, D. Großmann, S. Imperatore, D. Mokriš, A. Sestini)
Leonardo Boncinelli from the Department of Economics and Management, University of Florence presented a seminar on
“Gamebased education promotes sustainable water use”
Click here to access the abstracts of the seminar
Seminar Fabrizia Mealli & Andrew Bagdanov
21st of May 2021, from 23.30 pm:
Fabrizia Mealli from the Department of Statistics, Computer Science, Applications “G. Parenti” presented a seminar on
“Assessing causality under interference”
Andrew Bagdanov from the Department of Information Engineering, University of Florence presented a seminar on
“Lifelong Learning at the end of the (new) Early Years”
Click here to access the abstracts of the seminar