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Reminder – Call for Papers | Special Issue on Transition Risks and Climate Challenges
by Daniele Marazzina 11 May '26

11 May '26

Dear colleagues, We would like to kindly remind you of the ongoing Call for Papers for the Special Issue: “Transition Risks and Climate Challenges: Interdisciplinary Perspectives” Decisions in Economics and Finance (Springer) This Special Issue aims to bring together contributions from economists, mathematicians, statisticians, financial analysts, and environmental scientists, focusing on quantitative and interdisciplinary approaches to climate and transition risks. Topics include (but are not limited to): * Climate-transition risk modeling * Sustainable finance and portfolio management under climate constraints * Climate–economy integrated modeling * Data science and machine learning for climate risk * Energy transition and market design * Behavioral, policy, ethical, and regulatory dimensions * Supply chain disruptions and resilience in the climate context 📅 Submission deadline: July 31, 2026 We warmly encourage you to submit your work and to share this call with colleagues who may be interested. For further details, please visit the official announcement: https://link.springer.com/journal/10203/updates/27823746 We look forward to receiving your contributions. Best regards, Daniele Marazzina (on behalf of the Guest Editors) Andrea Flori, Politecnico di Milano, Italy Gianluca Fusai, Università del Piemonte Orientale, Italy Anna Maria Gambaro, Università del Piemonte Orientale, Italy Daniele Marazzina, Politecnico di Milano, Italy Luca Regis, Università di Torino, Italy Luca Trapin, Università di Bologna, Italy

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PhD positions in Mathematics and in Modeling and Data Science at UNITO
by Bruno Toaldo 11 May '26

11 May '26

Dear Colleagues, I would like to draw your attention to the open call for positions in the PhD programs in* Mathematics *and in* Modeling and Data Science *at the* University of Torino*, Italy. See *here <https://www.dottorato.unito.it/do/home.pl/View?doc=Bando_XLII_ciclo.html>* for the calls and information on how to apply. Deadline: *June 9**th*. The PhD in Mathematics offers *9 positions with scholarship*, with one *reserved for candidates with a foreign master degree*. The PhD in Modeling and Data Science offers *3** positions with scholarship*, with one *reserved for candidates with a foreign master degree*. Further positions (funded by companies) will be added to the call (see here <https://dottorato-mds.campusnet.unito.it/do/home.pl/View?doc=/content/Proje…> forthcoming updates). See *here <https://www.dottorato.unito.it/do/documenti.pl/ShowFile?_id=u4vb;field=file…> *for a description of the positions in mathematics. See also *this link <https://www.mathphd.unito.it/do/home.pl/View?doc=supervisors.html> *for a list of research topics with corresponding possible supervisors. See here <https://www.dottorato.unito.it/do/documenti.pl/ShowFile?_id=bfjt;field=file…> for a description of the positions in Modeling and Data Science. See also here <https://dottorato-mds.campusnet.unito.it/do/home.pl/View?doc=/content/Proje…> for further information on every position. The interviews for the selection of candidates will take place in the end of June / first half of July, and can be carried out online. The outcome of the selection will be published in the second half of July; admitted candidates have 7 days to accept the position. Candidates must obtain their Master degree by October 31st, 2026 (and not by the expiry date of the call). The starting date of the PhD program is November 1st, 2026. Please forward this email to anyone who might be interested. Best regards, Toaldo Bruno Department of Mathematics University of Torino Via Carlo Alberto 10 10123 Torino, Italy tel: +39 0116702850

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Seminario Padova - Bouchot
by alekos.cecchin＠unipd.it 08 May '26

08 May '26

Buongiorno a tutte/i, Vorremmo segnalarvi che Venerdì prossimo (6 Marzo) alle 14:30 in aula 2AB40 (Torre Archimede, Università di Padova) ci sarà un seminario per il ciclo di seminari in Probabilità e Finanza di: Nicolas Bouchot (Universität Innsbruck) <https://www.uibk.ac.at/mathematik/personal/bouchot-nicolas/bouchotnicolas.h tml> website Title: Confined walk, interlacements and covering time Date: March 6, 2026, at 14:30, 2AB40 Abstract: Random interlacements are understood to naturally arise as a full-volume limit of random walks spending a long time inside a domain. However, this understanding is somewhat indirect, as it is often through ways of large deviations principles. In this talk, I will present a straightforward model: the random walk confined inside a domain. We obtain a precise coupling between this confined walk and some interlacements tilted by the first Laplace eigenvector on the domain. As an application, I will present asymptotics for the covering time of subdomains by the confined walk. Alberto Chiarini e Alekos Cecchin Sito web del seminario: https://www.math.unipd.it/~chiarini/seminars/

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Rome Joint Seminars on Stochastic Dynamics, Control, and Learning – Third Meeting
by Marta Leocata 08 May '26

08 May '26

Cari colleghi, siamo felici di annunciare il terzo incontro del ciclo di seminari Rome Joint Seminars on Stochastic Dynamics, Control, and Learning (RoJo-SDCL) che si terrà giovedì 14 Maggio 2026, dalle 16:00 alle 18:00 presso l’edificio condiviso EIEF–World Bank (EIEF – Einaudi Institute for Economics and Finance), Sala Conferenze, Via degli Abruzzi 10, Roma. Gli speaker di questo incontro saranno: Anna Vidotto, Sapienza University of Rome Random Fields on the Sphere: Applications to Climate Data Domenico Marinucci, University of Rome Tor Vergata Random Fields on the Sphere: Applications to neural networks Ulteriori informazioni sono disponibili al seguente link: https://sites.google.com/view/rome-sdcl/home Vi informiamo inoltre che sullo stesso sito è possibile accedere alle slides dei precedenti incontri. La partecipazione ai seminari è gratuita, ma la registrazione (non vincolante) è fortemente consigliata per accelerare l’ingresso nell’edificio condiviso EIEF–World Bank: https://docs.google.com/forms/d/e/1FAIpQLSfKuFV0b3kGaYLg2GLlaUmeAeutRDMw5dX… Speriamo di vedervi numerosi e vi invitiamo a condividere questo annuncio con chiunque possa essere interessato. A presto, Valeria Bignozzi, Sapienza University of Rome Alessandro Bondi, Luiss University Katia Colaneri, University of Rome Tor Vergata Jodi Dianetti, University of Rome Tor Vergata Marta Leocata, Luiss University

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PhD HPSC (Univ. Pisa, 42° ciclo) – borse su progetto, incl. 1 su FIS 3 OTODDLE
by Dario Trevisan 07 May '26

07 May '26

Buongiorno a tutte e a tutti, segnalo l’apertura del bando per il Dottorato in High-Performance Scientific Computing (HPSC), 42° ciclo, presso l’Università di Pisa https://www.dm.unipi.it/phd-hpsc/call-for-applications-to-the-ph-d-programm… È disponibile 1 borsa finanziata sul progetto FIS 3 OTODDLE (Optimal Transport and Large Deviations for Deep Learning), sotto la mia supervisione. Il progetto di dottorato rientra nella linea applicata di OTODDLE e riguarda inizializzazione e training di reti neurali profonde, stime quantitative, algoritmi orientati all’HPC e simulazioni su larga scala, in stretta interazione con il gruppo di ricerca. Studenti e studentesse interessati/e ad aspetti computazionali, simulazione della probabilità e ottimizzazione sono invitati/e a candidarsi. Nota: oltre alla borsa su OTODDLE, il bando prevede altre borse su progetto: sarà sufficiente che il/la candidato/a indichi durante il colloquio orale a quali borse/progetti è interessato/a. Cordiali saluti, Dario Trevisan --- Dear colleagues, I would like to advertise the opening of the call for applications to the PhD Programme in High-Performance Scientific Computing (HPSC), 42nd cycle, at the University of Pisa: https://www.dm.unipi.it/phd-hpsc/call-for-applications-to-the-ph-d-programm… There is one PhD fellowship funded by the FIS 3 project OTODDLE (Optimal Transport and Large Deviations for Deep Learning), under my supervision. The PhD project lies within the OTODDLE applied research line and will focus on initialization and training of deep neural networks, quantitative estimates, HPC-oriented algorithms, and large-scale simulations, in close interaction with the research group. Students interested in computational aspects, probability simulation, and optimization are warmly encouraged to apply. Important note. In addition to the OTODDLE-funded fellowship, the call includes other project-funded fellowships. Applicants can simply state during the oral interview which fellowships/projects they are interested in. Best regards, Dario Trevisan -- Professor of Probability and Statistics Coordinator for Internationalization Dipartimento di Matematica Università di Pisa https://web.dm.unipi.it/trevisan/

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VII Edizione del Corso Executive in Finanza Matematica
by Andrea Pascucci 06 May '26

06 May '26

*Aperte le iscrizioni alla VII edizione del Corso Executive in Finanza Matematica – Università di Bologna* L’edizione 2026-2027 del *Corso Executive in Finanza Matematica* dell’Università di Bologna inizierà nel mese di *ottobre 2026*. Tutti i dettagli sul programma sono disponibili al seguente link: 🔗 https://site.unibo.it/finanza-matematica/it/ Il *bando di ammissione*, con scadenza *1 ottobre 2026*, è consultabile alla pagina: 📄https://www.unibo.it/it/studiare/dottorati-master-specializzazioni-e-altra-formazione/corsi-alta-formazione/2026-2027/executive-in-finanza-matematica -- --------------------------------------------------------------- Andrea Pascucciandrea.pascucci(a)unibo.it Dipartimento di Matematica P.zza di Porta S. Donato, 5 40126 Bologna - Italy Office Tel. +39-0512094428 Fax +39 0510821834 https://sites.google.com/view/andrea-pascucci/ Skype: andrea.pascucci https://unibo.zoom.us/j/8625962910 --------------------------------------------------------------- L'inferno dei viventi non è qualcosa che sarà: se ce n'è uno, è quello che è già qui, l'inferno che abitiamo tutti i giorni, che formiamo stando insieme. Due modi ci sono per non soffrirne. Il primo riesce facile a molti: accettare l'inferno e diventarne parte fino al punto di non vederlo più. Il secondo è rischioso ed esige attenzione e apprendimento continui: cercare e saper riconoscere chi e cosa, in mezzo all'inferno, non è inferno, e farlo durare, e dargli spazio. Italo Calvino

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SEMINAR: Petros Dellaportas @Luiss - 7 may
by Matteo Iacopini 05 May '26

05 May '26

Dear all, On Thursday, 7th May, at 12:00 in room A307b, the Department of AI, Data and Decision Sciences of Luiss University of Rome will host a seminar by Petros Dellaportas (University College London) Title: “Gaussian Invariant Markov Chain Monte Carlo” Abstract: We develop sampling methods, which consist of Gaussian invariant versions of random walk Metropolis (RWM), Metropolis adjusted Langevin algorithm (MALA) and second-order Hessian or Manifold MALA. Unlike standard RWM and MALA we show that Gaussian invariant sampling can lead to ergodic estimators with significantly improved statistical efficiency. This is due to a remarkable property of Gaussian invariance that allows us to obtain exact analytical solutions to the Poisson equation for Gaussian targets. These solutions can be used to construct efficient and easy-to-use control variates for variance reduction of estimators under any intractable target. We demonstrate the new samplers and estimators in several examples, including high-dimensional targets in latent Gaussian models, where we compare against several advanced methods and obtain state-of-the-art results. We also provide theoretical results regarding geometric ergodicity and an optimal scaling analysis that shows the dependence of the optimal acceptance rate on the Gaussianity of the target. Anyone interested in attending is welcome; just email me for logistical purposes. Hoping to meet you there! Best, Matteo Iacopini La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. È vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie. This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks

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Two seminars and a mini-course next week at Tor Vergata
by Michele Salvi 05 May '26

05 May '26

Dear all, Next week RoMaDS will host two seminars and a mini-course at the Department of Mathematics of the University of Rome, Tor Vergata (this is the link <https://www.mat.uniroma2.it/~rds/events.php> to RoMaDS webpage with all future events. We have some technical problems at the moment, but you can safely access the website ignoring the warning!). All abstracts can be found at the end of this email. Best, Michele > Monday, 11th May, Seminar Johannes Alt (University of Bonn) "Spectra of critical Erdős-Rényi graphs" 14h00-15h00, Department of Mathematics, Aula Dal Passo. Teams link <https://teams.microsoft.com/meet/35777624543024?p=boIC6CbJ8QfDutJzUV>. > Thursday, 14th May, Seminar Isabella Ziccardi (IRIF, Université Paris Cité) "Electing a Leader with Limited Resources" 16h00-17h00, Department of Mathematics, Aula D’Antoni. Teams link <https://teams.microsoft.com/meet/389989257555244?p=IMwo46pwx3w3fSzhOm>. > 12-13-14th May, Mini-course Cyril Letrouit (CNRS, Laboratoire de Mathématiques d'Orsay) "The Mathematics of Transformers: From Particle Systems to Control Theory" 12, 13, 14 May, 11h00-12h30, Department of Mathematics, Aula Dal Passo For all further information you can contact Prof. Caponigro at caponigro(a)mat.uniroma2.it <mailto:caponigro@mat.uniroma2.it> ABSTRACTS Abstract Alt “Spectra of critical Erdős-Rényi graphs" We consider the Erdős-Rényi graph G in its critical regime when its expected degree d scales like the logarithm of its number of vertices. On this critical scale, G undergoes a connectivity transition through the formation of isolated vertices. Moreover, localized eigenvectors emerge. The time evolution of a free quantum particle on G is governed by the adjacency matrix A of G through the Schrödinger equation. We determine the solution to this Schrödinger equation by comparison to an infinite tree. As A possesses localized and delocalized eigenvectors, the solution is in general a mixture of localized and scattering waves Abstract Ziccardi “Electing a Leader with Limited Resources” A distributed system consists of n independent entities—such as computers, servers, or even biological organisms—connected by a communication graph G. In such a system, nodes operate autonomously using their own local memory. A fundamental challenge in this setting is the Leader Election problem, where nodes must coordinate to elect a single leader. Electing a leader is fundamental because it serves as a central control, simplifying many other coordination tasks. Recently, much attention has been focused on leader election within weak communication models, like the beeping or stone age models. While many algorithms have been proposed, they typically require nodes to have large memory capacities, require knowledge of global quantities (such the total number of nodes n) or only work on specific families of graphs. In this talk, I introduce a very simple randomized algorithm that almost surely elects a leader on any network G. Our approach requires only constant memory and zero prior knowledge about G’s size or topology; nodes interact by sending only a 1-bit signal. We show that this protocol is efficient, reaching a stable leader configuration in O(D^2 log n) rounds with high probability, where D is the diameter of G. Finally, I will address the issue of resilience. Because our algorithm requires all nodes to start from the same, fixed initial state, it cannot guarantee leader election if the system starts in an arbitrary configuration reached due to local faults. I will discuss how to extend this algorithm to be self-stabilizing—meaning it can recover and converge from any initial state. Our self-stabilizing solution uses only O(log log n) bits of memory, representing an exponential improvement over previous literature that required O(log n) bits. This presentation is based on joint work with Robin Vacus [PODC 2025] and Lélia Blin and Sylvain Gay [PODC 2026] Abstract Letroiut “The Mathematics of Transformers: From Particle Systems to Control Theory” Since their introduction in 2017, Transformers have profoundly transformed large language models and, more generally, deep learning. This success largely relies on the mechanism known as "self-attention". In this course, I will introduce a mathematical framework that allows self-attention to be viewed as a system of interacting particles. I will explain certain remarkable properties of the associated dynamics in the space of probability measures, with particular emphasis on cluster formation, the preservation of Gaussian distributions, the subtleties of the associated mean-field limit, and the great "expressivity" of these neural networks, proved thanks to control theory.

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PROMEMORIA MOX COLLOQUIUM presso Politecnico di Milano - 07.05.26 ore 14:30 – Peter Bühlmann
by Laura Maria Sangalli 05 May '26

05 May '26

Cari Colleghi, vi ricordo il seguente seminario della serie dei MOX COLLOQUIA: 07.05.26 Ore 14:30 - Sala Consiglio, Edificio 14, Politecnico di Milano Speaker: Peter Bühlmann, ETH Zürich Titolo: Causality-Inspired Machine Learning: A Path to more Robust AI Systems Abstract: The pursuit of reliable and robust machine learning has become a central focus, with statistics and data science playing pivotal roles in its advancement. We explore connections between distributional robustness and causality, providing methodological insights to enhance the reliability of AI systems. We examine the broader implications of these concepts through a case study in digital health and conclude by emphasizing the importance of rigorous real-world validation of machine learning and AI algorithms. https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2… <https://cassyni.com/events/Lwo25Mh9yCpmezYk7Fie8m> [NgwyDiUV254sqYXdcEuAM4.png] Causality-Inspired Machine Learning: A Path to more Robust AI Systems<https://cassyni.com/events/Lwo25Mh9yCpmezYk7Fie8m> cassyni.com<https://cassyni.com/events/Lwo25Mh9yCpmezYk7Fie8m> Per seguirlo in streaming è necessario registrarsi (gratuitamente) alla piattaforma Cassyni. Un caro saluto, Laura Sangalli —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy (+39) 02 2399 4554 laura.sangalli(a)polimi.it https://sangalli.faculty.polimi.it

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EXTENDED DEADLINE for AMASES 2026
by Francesco Cesarone 04 May '26

04 May '26

Dear Colleagues, Due to numerous requests, the Organizing Committee of the 50th Annual Meeting of the Association for Mathematics Applied to Social and Economic Sciences (AMASES 2026) https://sites.google.com/uniroma1.it/amases2026/<https://urldefense.com/v3/__https:/sites.google.com/uniroma1.it/amases2026/…> has decided to extend the deadline for abstract submissions. New Deadline for Abstract Submission: May 10, 2026 Notification of Acceptance: June 5, 2026 Deadline for Early Bird Registration: June 30, 2026 Deadline Registration for Communications to be included in the program: June 30, 2026 Francesco Cesarone On behalf of The AMASES 2026 Organizing Committee * F Cesarone, M Corradini, L Lampariello (2024), Matematica generale, Edizioni Giappichelli, ISBN 9791221107746<https://www.giappichelli.it/matematica-generale-9791221107746> * F Cesarone, M Corradini, L Lampariello (2024), Esercitazioni di matematica generale, Edizioni Giappichelli, ISBN 9791221107753<https://www.giappichelli.it/esercitazioni-di-matematica-generale-9791221107…> * F Cesarone (2020), Computational Finance. MATLAB oriented modeling, Routledge-Giappichelli Studies in Business and Management, ISBN 978-0-367-49303-5<https://www.giappichelli.it/computational-finance-9788892132504> For more info: https://www.francescocesarone.com/books -- Francesco Cesarone - Ph.D. Full Professor Department of Business Studies Roma Tre University Via Silvio D'Amico, 77 00145 - Roma, Italy phone: +39 06 57335744 Skype: francesco.cesarone email: francesco.cesarone(a)uniroma3.it<mailto:francesco.cesarone@uniroma3.it> office no 16, 5th floor WWW: https://www.francescocesarone.com<https://www.francescocesarone.com/>/<https://www.francescocesarone.com/>

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