Inscription dans le projet quinquennal 2019-2024

Thème 2 : Métropolisation, circulations et dynamiques urbaines

Enseignements en masters et écoles doctorales

• Since 2014 Master in Physics of Complex Systems, course in Data Mining, Statistical Modeling and Machine Learning, Università degli Studi di Torino
• 2020 : Lecture on Data Mining and Modelling of Social Systems, Scuola di Studi Superiori "Ferdinando Rossi", SSST, Università degli Studi di Torino, course instructor
• 2018 invited lecture at RESCOM summer school on Data science, Network Science and Machine Learning, Porquerolles, France, June 2018, course instructor
• 2017 guest lecture at IMéRA - Institute for Advanced Study , Mediterranean exploratory of interdisciplinarity, November 2017, course instructor
• 2013-2017 Network Science in the program Big Dive http://www.bigdive.eu, a 5 week intensive training program for data scientists, course instructor
• 2016 : Teaching Data Mining : Statistical Modeling and Learning from Data in the Computer Science Department of ENS Lyon, France, course instructor
• 2008 - 2010 : Teaching assistant for undergraduate students, Université Pierre et Marie Curie

Directions de thèses et supervision de jeunes chercheurs

• 2022-2023 (Co-)Supervisor of Ilaria Stanzani, Junior researcher. Project: Urban election dynamics
• 2021-2022 (Co-)Supervisor of Pietro Folco, Junior researcher. Project: Soft mobility infrastructure for a sustainable city: a model for cycling paths
• 2021-2022 (Co-)Supervisor of Federico Delussu, Junior researcher. Project: Mobility during the second wave of COVID-19
• 2021-2022 (Co-)Supervisor of Daniele Sartirano, Junior researcher. Project: Digital data for humanitarian decision-making in Indonesia, collaboration with UNICEF
• 2019-2020 (Co-)Supervisor of Lorenzo Betti, Junior researcher. Project: Automatic identification of constructs related to vaccine hesitancy
• 2019-2020 (Co-)Supervisor of Marina Klanjčić, Junior researcher. Project: Identifying the determinants of road safety in European cities
• 2019-2020 (Co-)Supervisor of Emanuele Pepe, Junior researcher. Project: Measuring changes in human mobility with anonymized location data
• 2021 Supervisor of Giorgio Mazzanti, Master student, Università degli Studi di Torino, research training on COVID-19 pandemic containment policies: an evaluation of changes of the public transportation networks of 5 medium size European cities
• 2020 Supervisor of Konstantina Dakou, Master student, Università degli Studi di Torino, research training on the COVID-19 lockdown effects on public transportation systems in European cities
• 2019 Supervisor of Lorenzo Betti, Master student, Università degli Studi di Torino, research training on spread of misinformation through embedding
• 2018 Co-Supervisor of Martino Olivieri, Master student, Università degli Studi di Torino, 6-months research training on wearable sensors in a hospital. (Co-supervisor : Laura Ozella).
• 2018 Supervisor of Emma Krebs, Master student, ENS Lyon, 2-months research training on temporal networks.
• 2018 Supervisor of Carlo Fisicaro, Master student, Università degli Studi di Torino, 6-months, research training on Part of Speech tagging Hidden Markov Models vs Recurrent Neural Networks (Co-supervisor : CELI (tech company)).
• Co-supervisor of Maddalena Torricelli (2017 - 2022), Ph.D. student, Università di Bologna, Data Science and Computation. (Co-supervisors : Ciro Cattuto, Laura Sartori).
• 2016-2017 Supervisor of Francesco Parino, Master student, Università degli Studi di Torino, 6-months research training on the analysis of the Bitcoin blockchain.
• 2015 Supervisor of Iacopo Iacopini, Master student, Università degli Studi di Torino, 6-months research training on traffic data. (Co-supervisor : Giovanni Petri).
• Co-supervisor of Denise Maffione (2015 -2019), Ph.D. student, Università degli Studi di Torino, Advanced analytical methodologies for high-dimensional, low-cardinality data in System Vaccinology. (Co-supervisor : Emilio Siena).
• Co-supervisor of Anna Sapienza (2014-2017), Ph.D. student, Politecnico di Torino, Tensor Decomposition Techniques for analysing Time-varying Networks. (Co-supervisors : Ciro Cattuto, Lamberto Rondoni).
• 2014 Supervisor of Laura Alessandretti, Master student, École Normale Supérieure de Lyon, one year research training on transportation networks. (Co-supervisor : Màrton Karsai).
• 2013 Supervisor of Andrea Martini, Master student, Università degli Studi di Torino, 6-months research training on community detection on temporal networks. (Co-supervisor: Ciro Cattuto)

Publications

Articles dans des revues internationales à comité de lecture

• Klanjčić, M.; GAUVIN, L.; Tizzoni, M.; Szell, M. "Identifying urban features for vulnerable road user safety in Europe." , 2022, EPJ Data Science, vol. 11, no. 1, 27, Springer Berlin Heidelberg.
• Tizzoni, M.; Nsoesie, E. O; GAUVIN, L.; Karsai, M.; Perra, N.; Bansal, S, 2022 "Addressing the socio-economic divide in computational modeling for infectious diseases." Nature Communications, vol. 13, no. 1, 1-7. Nature Publishing Group.
• Folco, Pietro; GAUVIN, L.; Tizzoni, M.; Szell, M., 2022. "Data-driven micromobility network planning for demand and safety." Environment and Planning B: Urban Analytics and City Science. SAGE Publications Sage UK: London, England.
• GAUVIN, L.; Génois, M.; Karsai, M.; Kivelä, M.; Takaguchi, T.; Valdano, E.; Vestergaard, C. L, 2022. "Randomized Reference Models for Temporal Networks." SIAM Review.
• GAUVIN, L.; Bajardi, P.; Pepe, E.; Lake, B.; Privitera, F.; Tizzoni, M., 2021 "Socio-Economic Determinants of Mobility Responses during the First Wave of COVID-19 in Italy: From Provinces to Neighbourhoods." Journal of The Royal Society Interface, vol. 18, no. 181, 20210092. https://doi.org/10.1098/rsif.2021.0092.
• Woskie, L. R.; Hennessy, J.; Espinosa, V.; Tsai, T. C.; Vispute, S.; Jacobson, B. H.; Cattuto, C.; GAUVIN, L.; Tizzoni, M.; Fabrikant, A. et al.; "Early Social Distancing Policies in Europe, Changes in Mobility & COVID-19 Case Trajectories: Insights from Spring 2020." Plos one, vol. 16, no. 6, e0253071. https://doi.org/10.1371/journal.pone.0253071
• Mazzoli, M.; Pepe, E.; Mateo, D.; Cattuto, C.; GAUVIN, L.; Bajardi, P.; Tizzoni, M.; Hernando, A.; Meloni, S.; Ramasco, J. J, 2021. Interplay between Mobility, Multi-Seeding and Lockdowns Shapes COVID-19 Local Impact. PLOS Computational Biology  17 (10), e1009326. https://doi.org/10.1371/journal.pcbi.1009326.
• Fielding, H. R.; Silk, M. J.; McKinley, T. J.; Delahay, R. J.; Wilson-Aggarwal, J. K.; GAUVIN, L.; Ozella, L.; Cattuto, C.; McDonald, R. A, 2021. Spatial and Temporal Variation in Proximity Networks of Commercial Dairy Cattle in Great Britain. Preventive Veterinary Medicine 2021, 194, 105443. https://doi.org/10.1016/j.prevetmed.2021.105443.
• Betti, L.; De Francisci Morales, G.; GAUVIN, L.; Kalimeri, K.; Mejova, Y.; Paolotti, D.; Starnini, M., 2021. Detecting Adherence to the Recommended Childhood Vaccination Schedule from User-Generated Content in a US Parenting Forum. PLOS Computational Biology, 17 (4), e1008919. https://doi.org/10.1371/journal.pcbi.1008919.
• Ozella, L.; Langford, J.; GAUVIN, L.; Price, E.; Cattuto, C.; Croft, D. P., 2020 The Effect of Age, Environment and Management on Social Contact Patterns in Sheep. Applied Animal Behaviour Science, 225, 104964. https://doi.org/10.1016/j.applanim.2020.104964.
• Torricelli, M.; Karsai, M.; GAUVIN, L., 2020. Weg2vec: Event Embedding for Temporal Networks. Scientific Reports, 10 (1), 1–11. https://doi.org/10.1038/s41598-020-63221-2.
• GAUVIN, L.; Tizzoni, M.; Piaggesi, S.; Young, A.; Adler, N.; Verhulst, S.; Ferres, L.; Cattuto, C. , 2020. Gender Gaps in Urban Mobility. Humanities and Social Sciences Communications 2020, 7 (1), 1–13. https://doi.org/10.1057/s41599-020-0500-x.
• Pepe, E.; Bajardi, P.; GAUVIN, L.; Privitera, F.; Lake, B.; Cattuto, C.; Tizzoni, M, 2020. COVID-19 Outbreak Response, a Dataset to Assess Mobility Changes in Italy Following National Lockdown. Scientific data, 7 (1), 1–7. https://doi.org/10.1038/s41597-020-00575-2.
• Ozella, L.; GAUVIN, L.; Carenzo, L.; Quaggiotto, M.; Ingrassia, P. L.; Tizzoni, M.; Panisson, A.; Colombo, D.; Sapienza, A.; Kalimeri, K.; et al., 2019. Wearable Proximity Sensors for Monitoring a Mass Casualty Incident Exercise: Feasibility Study. Journal of Medical Internet Research, 21 (4), e12251. https://doi.org/10.2196/12251.
• Peixoto, T. P.; GAUVIN, L., 2018. Change Points, Memory and Epidemic Spreading in Temporal Networks. Scientific reports, 8 (1), 1–10. https://doi.org/10.1038/s41598-018-33313-1.
• Parino, F.; Beiró, M. G.; GAUVIN, L., 2018, Analysis of the Bitcoin Blockchain: Socio-Economic Factors behind the Adoption. EPJ Data Science, 7 (1), 38. https://doi.org/10.1140/epjds/s13688-018-0170-8.
• Sapienza, A.; Barrat, A.; Cattuto, C.; GAUVIN, L., 2018. Estimating the Outcome of Spreading Processes on Networks with Incomplete Information: A Dimensionality Reduction Approach. Physical Review, 98 (1), 012317. https://doi.org/10.1103/PhysRevE.98.012317.
• Alessandretti, L.; Karsai, M.; GAUVIN, L., 2016. User-Based Representation of Time-Resolved Multimodal Public Transportation Networks. Royal Society open science, 3 (7), 160156. https://doi.org/10.1098/rsos.160156.
• GAUVIN, L.; Panisson, A.; Cattuto, C, 2014. Detecting the Community Structure and Activity Patterns of Temporal Networks: A Non-Negative Tensor Factorization Approach. PloS one, 9 (1), e86028. https://doi.org/10.1371/journal.pone.0086028.
• GAUVIN, L.; Panisson, A.; Cattuto, C.; Barrat, A, 2013. Activity Clocks: Spreading Dynamics on Temporal Networks of Human Contact. Scientific reports, 3 (1), 1–6. https://doi.org/10.1038/srep03099.
• GAUVIN, L.; Vignes, A.; Nadal, J.-P., 2013. Modeling Urban Housing Market Dynamics: Can the Socio-Spatial Segregation Preserve Some Social Diversity? Journal of Economic Dynamics and Control 2013, 37 (7), 1300–1321. https://doi.org/10.1016/j.jedc.2013.03.001.
• GAUVIN, L.; Nadal, J.-P.; Vannimenus, J. ,2010. Schelling Segregation in an Open City: A Kinetically Constrained Blume-Emery-Griffiths Spin-1 System. Physical Review E, 81 (6), 066120. https://doi.org/10.1103/PhysRevE.81.066120.
• GAUVIN, L.; Vannimenus, J.; Nadal, J.-P., 2009. Phase Diagram of a Schelling Segregation Model. The European Physical Journal B, 70 (2), 293–304. https://doi.org/10.1140/epjb/e2009-00234-0.

Contributions à des ouvrages collectifs

• Modeling and Understanding Social Segregation, Laetitia GAUVIN and Jean-Pierre Nadal in Mathematics of Planet Earth: Mathematicians Reflect on How to Discover, Organize, and Protect Our Planet; Kaper, H. G., Rousseau, C., Eds.; Society for Industrial and Applied Mathematics: Philadelphia, 2015.

Communications internationales avec actes

• Piaggesi, S.; GAUVIN, L.; Tizzoni, M.; Cattuto, C.; Adler, N.; Verhulst, S.; Young, A.; Price, R.; Ferres, L.; Panisson, A. Predicting City Poverty Using Satellite Imagery. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops; 2019; pp 90–96.
• Sapienza, A.; Panisson, A.; Wu, J.; GAUVIN, L.; Cattuto, C. Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition. In 2015 IEEE international conference on data mining workshop (ICDMW); 2015; pp 516–523. https://doi.org/10.1109/ICDMW.2015.128.
• Sapienza, A.; Panisson, A.; Wu, J.; GAUVIN, L.; Cattuto, C. Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach. In International workshop on advanced analytics and learning on temporal data, AALTD 2015; 2015.
• Panisson, A.; GAUVIN, L.; Quaggiotto, M.; Cattuto, C. Mining Concurrent Topical Activity in Microblog Streams. In Proceedings of the the 4th Workshop on Making Sense of Microposts co-located with the 23rd International World Wide Web Conference (WWW 2014); 2014.
• Panisson, A.; GAUVIN, L.; Barrat, A.; Cattuto, C. Fingerprinting Temporal Networks of Close-Range Human Proximity. In 2013 IEEE international conference on pervasive computing and communications workshops (PERCOM workshops); 2013; pp 261–266. https://doi.org/10.1109/PerComW.2013.6529492.
• GAUVIN, L.; Vignes, A.; Nadal, J.-P. Modeling Urban Housing Market Dynamics: Can the Socio-Spatial Segregation Preserve Some Social Diversity? In International Conference on Complex Systems; 2011.
• GAUVIN, L.; Nadal, J.-P.; Vannimenus, J. Schelling’s Segregation Model for an Open City : Emergence of Physical Frontiers from a Socio-Spatial Dynamics. In European Conference on Complex Systems 2010; 2010.
• GAUVIN, L.; Vannimenus, J.; Nadal, J.-P. Phase Diagram of a Schelling Segregation Model. In European Conference on Complex Systems 2009; 2009.

Communications internationales sans actes

• January 2023 Centre Marc Bloch, Human mobility through digital traces, Berlin
• June 2022 French Conference on Complex Systems, Paris
• June 2022 Towards greener and sustainable cities The Alan Turing Institute - Exeter
• December 2021 Expert panel: Spatial analytics + Data panel, December 2021
• October 2021 ATI/UAP-ITINERANT workshop on Mobility Data in Urban Science, Alan Turing Institute, London about Inequalities in human mobility
• May 2021 - Scuola di Politiche, Corso Impact, Torino, Italy
• May 2021 - Data Science Institute, Facultad de Ingeniería, Universidad del Desarrollo Santiago de Chile, Chile (online)
• September 2020 - Higher-Order models in Network Science satellite at CCS 2020
• December 2019 - Workshop on Using Mobile Telephony Data for Societal Insight, Complex Systems Hub, Vienna.
• September 2019 - Workshop on Higher-Order Interactions, University of Oxford.
• June 2019 - Engineering Workshop in Network Science}, EPFL, Lausanne.
• May 2019 - Critical and Collective Effects in Graphs and Networks, Les Houches school of Physics, France.
• September 2018 - Extracting and analysing networks from spatio-temporal data satellite at CCS’18 , Urban Mobility from a Gendered Perspective through Mobile Phone Data, Thessaloniki.
• September 2018 - Tensors workshop, Tensor-based method for temporal networks. Turin
• June 2018 - BlockNet 2018, NetSci satellite, , Analysis of the Bitcoin blockchain: Socio-economic factors behind the adoption, Paris, France
• June 2018 - RESCOM summer school on Data science, Network Science and Machine Learning , Network Science introduction, Porquerolles, France
• November 2017 - IMERA lecture, data science for network analysis, IMERA, Marseille, France
• June 2017 - Machine learning in network science, Indianapolis, United States
• July 2016 - Symposium Cities as complex systems, Hanover, Germany
• June 2015 - ``Analysis of networks for social sciences day'' in the context of the EHESS 40th anniversary
• May 2015 - Colloquium Mathematical Sciences to the proof of Human & Social Sciences, Université Paris Panthéon-Sorbonne, France
• May 2015 - Urban economics LIEPP Sciences Po, Paris, France
• 6 July 2013 - Colloquium Understanding Urban Conflicts, Université de Paris Panthéon-Sorbonne, France
• 30 - 31 May 2011 Colloquium Mathematical Sciences to the proof of Human & Social Sciences, Université Paris Panthéon-Sorbonne, France
• 1 - 3 Sep. 2010 - Optimal transport and Kinetics Applied to Socio-Economics conference, Université Toulouse 1, Toulouse, France