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PhD Scholarship Available at Roma Tre University
by Francesco Cesarone 05 Jul '25

05 Jul '25

Dear Colleagues, I am pleased to announce the availability of a PhD scholarship in Finance, Markets, and Regulation at Roma Tre University. **Application Deadline:** July 16, 2025, at 2 PM Rome time. We strongly encourage applications from students interested in Quantitative Finance. The research interests of our Quantitative Finance group at Roma Tre include: sustainable finance, which integrates environmental, social and governance criteria into investment decisions; machine learning for finance, i.e., application of machine learning techniques for pattern recognition and prediction of financial markets; portfolio selection models, i.e., optimization of investment strategies based on risk management and diversification; study of cryptocurrencies in the context of alternative instruments for investment; algorithms for trading, i.e., design and validation of systematic investment strategies; behavioral finance; multivariate statistical analysis for finance; study of risk measures in the context of quantitative assessment of uncertainty and potential economic and financial impacts. For more details, please visit our webpage<https://www.francescocesarone.com/papers>. The PhD program lasts three years. Each scholarship is approximately €16,243 gross per year, and students receive an additional budget of about €1,600 per year for research activities. Please feel free to contact me at francesco.cesarone(a)uniroma3.it<mailto:francesco.cesarone@uniroma3.it> for additional information. You can find the official call webpage here: https://apps.uniroma3.it/public/bando2025/. We would appreciate your assistance in sharing this opportunity with any interested students or colleagues. Best regards, Francesco Cesarone * 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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Probability Newsletter in Francia
by msimon＠math.univ-lyon1.fr 04 Jul '25

04 Jul '25

Buongiorno, Vorrei trasmettere alcune informazioni: è stata creata una nuova newsletter per la comunità dei probabilisti in Francia. Se volete mandare un annuncio, potete scrivere direttamente a proba(a)listes.math.cnrs.fr (in inglese o in francese) Tutte le informazioni sono qui: https://listes.math.cnrs.fr/wws/info/proba Buona estate Marielle

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Seminar presented by Annamaria Olivieri - Applications of Probability to Economics
by Enrico Scalas 04 Jul '25

04 Jul '25

Dear colleagues, On 10 July 2025 at 2pm (CET), Annamaria Olivieri, (University of Parma (Italy), Department of Economics and Management) will present an online seminar whose title is: Modelling Stochastic Mortality for Life Insurance Applications Abstract: In the closing decade of the last century, a generalized decrease in mortality rates has been reported in many countries, especially at adult and old ages, which was highly unanticipated. Until then, the modelling of mortality for insurance applications was mainly deterministic since, according to the classical insurance paradigm, in sufficiently large and homogeneous pools there is a high probability to achieve an outcome in line with what expected. Uncertain mortality trends are against such an argument. Net of the effect of the pandemic, the decreasing trend in mortality has persisted to current times, at a pace that remains random. Mortality has a clear impact on the liabilities of the life insurance (and pension) industry and an adequate mortality forecasting is among the key elements of an effective risk management design for a life insurer (or a pension fund), especially when longevity benefits are involved. Starting from the end of the last century, stochastic mortality modelling has become a core topic of actuarial science and many studies have greatly enriched the actuarial literature. In this presentation, the main characteristics of mortality trends are first summarized, with particular regard to the Italian population. Then, mortality and longevity risks are defined. Finally, a review of the main stochastic mortality models developed for actuarial purposes is provided. The seminar link is: https://uniroma1.zoom.us/j/85751921753 This is the second seminar of a series of three seminars organised by UMI-PRISMA on the Applications of Probability to Economics in preparation to the 2025 Summer School of Mathematics for Economic and Social Sciences: https://indico.sns.it/event/105/overview The next seminar will be: on 17 July 2025 at 2pm, Sara Merino Aceituno (Faculty of Mathematics, University of Vienna, Austria), Large particle limit for jump processes The previous seminar was: on 26 June 2025, Marta Leocata (LUISS Guido Carli, Department of AI, Data and Decision Sciences) Two applications of multi-agent models in economic and social systems Everybody is welcome to join these seminars! The organisers Giulio Bottazzi, Alessandro Calvia, Marco Capaldo, Enrico Scalas

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Seminario Lukas Wessels a Milano-Bicocca
by Federica Masiero 04 Jul '25

04 Jul '25

Buongiorno segnalo il seguente seminario *Martedì 8 Luglio 2025, ore 11:30.* Aula 3014, Edificio U5, terzo piano, Dipartimento di Matematica e Applicazioni, via Cozzi 55, Università di Milano-Bicocca *Speaker*: Lukas Wessels, Georgia Institute of Technology, Atlanta *Title*: Necessary and Sufficient Conditions for Optimal Control of Semilinear SPDEs *Abstract:* In this talk, we consider a finite-horizon optimal control problem of stochastic reaction-diffusion equations. First we apply the spike variation method which relies on introducing the first and second order adjoint state. We give a novel characterization of the second order adjoint state as the solution to a backward SPDE. Using this representation, we prove the maximum principle for controlled SPDEs. As another application of our characterization of the second order adjoint state, we derive additional necessary optimality conditions in terms of the value function. These results generalize a classical relationship between the adjoint states and the derivatives of the value function to the case of viscosity differentials. The last part of the talk is devoted to sufficient optimality conditions. We show how the necessary conditions lead us directly to a non-smooth version of the classical verification theorem in the framework of viscosity solutions. This talk is based on joint works with Wilhelm Stannat. -- Federica Masiero Dipartimento di Matematica e Applicazioni, Università di Milano Bicocca, Edificio U5 via Roberto Cozzi, 55, 20126 Milano

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IAMG Distinguished Lecture di Jeff Boisvert presso Politecnico di Milano
by Alessandra Menafoglio 03 Jul '25

03 Jul '25

Si avvisa che in data 11-07-2025, alle ore 10:00 presso il Politecnico di Milano, Edificio 14 (Via Bonardi 9), in Aula B.5.3 (quinto piano), nell’ambito delle attività del MOX e della IAMG Distinguished Lecture Series, si svolgerà il seguente seminario: Jeff Boisvert — University of Alberta e IAMG Distinguished Lecturer for 2025 Titolo: The Future of Machine Learning and Model Validation in the Earth Sciences: The Good, the Bad, and the Ugly Abstract: The earth sciences are being transformed by advances in machine learning (ML) and artificial intelligence. From optimizing mineral estimation and hydrocarbon production to improving wildfire prediction and management, these methods offer exciting opportunities for modeling and decision-making. However, these advances bring challenges with model validation, which is critical for ensuring that predictions are robust, reasonable, and actionable. This lecture will delve into the evolving role of ML in the mining, hydrocarbon, or wildfire industry, highlighting successes, pitfalls, and future prospects. "The Good" will explore case studies and implementations where ML has significantly improved modeling, decision making, and inference. "The Bad" will examine common pitfalls, including data biases, overfitting, and the misuse of algorithms without understanding domain constraints. Finally, "The Ugly" will confront the ethical and operational risks posed by poorly validated models, emphasizing the importance of transparency and domain experts. This lecture will not only focus on ML methods, but will also consider how to validate all types of earth science models including estimates, simulations, and decision making. We will discuss best practices for integrating ML models into traditional workflows while addressing the complexities of model validation. The seminar is part of the IAMG Distinguished Lecture Series, which is aimed to highlight the critical role of mathematics and statistics in addressing key challenges in the geosciences. Il link per seguire il seminario online sarà reso disponibile pochi minuti prima dell’avvio del seminario al seguente Link: https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2… Contatto: Prof Alessandra Menafoglio, alessandra.menafoglio(a)polimi.it <mailto:alessandra.menafoglio@polimi.it> Tutti gli interessati sono cordialmente invitati a partecipare, Alessandra Menafoglio — Alessandra Menafoglio MOX - Dept. of Mathematics Politecnico di Milano Piazza Leonardo da Vinci, 32, 20133 Milan - Italy Phone: +39 02 2399 4642 Email: alessandra.menafoglio(a)polimi.it

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Announcement: PhD Course on Games and Markets at Roma Tre University
by Francesco Cesarone 01 Jul '25

01 Jul '25

Dear All, I am pleased to announce a PhD course organized by the Research Group on Quantitative Finance at the Department of Business Studies, Roma Tre University. Below are the details for the course: **Course Title:** Games and Markets **Instructor:** Giancarlo Bigi, Professor of Operations Research at Pisa University, Department of Computer Science. **Schedule:** - Monday, July 14, h: 14:00 - 18:00; Tuesday, July 15, h: 10:00 - 14:00; Tuesday, July 15, h: 15:00 - 17:00; Wednesday, July 16, h: 10:00 - 14:00; Wednesday, July 16, h: 15:00 - 17:00; Thursday, July 17, h: 10:00 - 14:00. Participants can attend the seminars either in person at the Computer Lab (small room) located on the ground floor of the Department of Business Studies, Roma Tre University (Via Silvio D'Amico, 77, 00145 Rome, Italy) or online. For more information, please refer to the following web page<https://www.francescocesarone.com/phd/phd-courses>. Best regards, Francesco Cesarone * 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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School "The Threads of Complex Networks", Florence, Sep 16-19
by Giorgio Rizzini 30 Jun '25

30 Jun '25

Dear all, We are pleased to announce the first edition of the School *The Threads of Complex Networks — TCN2025* that will be held at Palazzo Strozzi in Florence (Italy) on September 16-19, 2025. The aim of the school is to present recent methodological, computational and machine learning methods for complex networks analysis, with applications spanning a wide range of fields. A Python tutorial will follow the lecture to show the implementation of the methods studied during the lectures. The school will start with the opening talk of *Prof. Rosario Mantegna *on September 16, 2025. The school provides minicourses delivered by five keynote speakers - *Tomaso Aste, *University College London, *From Filtered Information Structure to Causal Neural Design: Network-Theoretic Foundations for the Next Generation of Neural Models* - *Federico Battiston,* Central European University, *Higher-order Network Science* - *Ernesto Estrada*, Institute of Interdisciplinary Physics and Complex Systems (IFISC), *Diffusive Models on Networks* - *Giulio Rossetti*, Istituto di Scienza e Tecnologie dell’Informazione, National Research Council of Italy (ISTI-CNR), *Simulated Societies: from opinion dynamic modeling to AI-powered social digital twins* - *Andreia Sofia Teixeira*, Network Science Institute at Northeastern University London, *From Micro-Tensions to Macro-Patterns in Signed Social Systems and Mental Health* Detailed information on the School and instructions for application can be found at: https://tcn2025.wordpress.com/tcn2025/ The application deadline is *July 25, 2025.* The organizers, Roy Cerqueti Rosanna Grassi Fabrizio Lillo Giorgio Rizzini

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Blackwell-Rosenbluth award: extended deadline
by filippo ascolani 30 Jun '25

30 Jun '25

Dear all, we are writing to announce that the deadline for the nominations to the *Blackwell-Rosenbluth Award* has been moved to *July 15, 2025*. The award aims at recognizing outstanding junior Bayesian researchers based on their overall contribution to the field and to the community. There will be six winners in total who will be invited to present their work in two special webinar series and receive three years of free ISBA and j-ISBA membership. To encourage scientific exchange and strengthen research connections between geographies, three prizes will be awarded to researchers based in time zones UTC+0 to UTC+13 [e.g. Africa + Asia + Europe + Oceania] and three to those based in UTC-12 to UTC-1 [e.g. North America + South America]. We welcome nominations of junior researchers working in the broad spectrum of topics in Bayesian statistics, including but not limited to methods, theory, computation, machine learning, data science, biostatistics, econometrics, industrial statistics, environmental science, and software. Ph.D. students and early career researchers who received their Ph.D. after *January 1, 2020* are eligible for nomination. Candidates who were nominated in previous years may be nominated again if they received their Ph.D. after January 1, 2020. In exceptional cases, applicants who are more than five years past their Ph.D. may still be considered if they experienced a significant career break within five years of earning their degree (such as breaks due to illness, caring for a sick family member, pregnancy-related leave, or parental leave). A nomination may come from any ISBA member, including the nominee themselves. A nomination is to be submitted electronically and should contain: - Nominating letter in support of the candidate - CV of the candidate - One manuscript or alternate form of exposition (e.g. software documentation) of scientific work most representative of the candidate’s achievements; the submitted work should also be available as publication or in a public repository such as arXiv, bioRxiv, CRAN, Bioconductor or GitHub. Submit here <https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fu8042292.…> . If you are unable to use Google Forms, please email your nomination to jisba.section(a)gmail.com <https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fu8042292.…> . We look forward to receiving your applications! The j-ISBA (junior section of the International Society for Bayesian Analysis) Board

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Intensive short PhD courses in Mathematical Finance
by Athena Picarelli 30 Jun '25

30 Jun '25

Dear colleagues, We are pleased to announce that, in conjunction with the 12th General AMaMeF Conference that will take place at the Department of Economics of the University of Verona, on the 23-27 of June, we will host a series of special seminars led by some of the distinguished plenary speakers. These seminars, taking place during the weeks immediately preceding and following the Conference, are specifically designed for PhD students and offer an exceptional opportunity to engage with advanced topics in mathematical finance and to interact closely with leading experts in the field. All the seminars will take place in aula Vaona (Polo Santa Marta, Via Cantarane 24, 1st floor). Here the program: - *XUNYU ZHOU (Columbia University)* "Continuous Time Reinforcement Learning" Tuesday 17 June, h. 9.30-11.30 Wednesday 18 June, h. 9.30-11.30 Thursday 19 June, h. 9.30-11.30 - *SAMUEL COHEN (University of Oxford)* "Deep Galerkin method for PDEs": Monday 30 June, h. 10.00-12.00 Tuesday 1 July, h. 10.00-12.00 Wednesday 2 July, h. 10.00-12.00 - *AGOSTINO CAPPONI (Columbia University)* "Advances in Mathematics and Machine Learning for Finance" : Monday 30 June, h. 14.00-16.00: Microstructure of automated market makers. Introduction of the main properties and conceptual innovation of AMMs, and draw parallel with limit order books (CLOB). It will be shown how the convexity of the AMM pricing curve and depth of liquidity pools relates to price impact. It will be highlighted how mathematical control techniques can be used to decide on the best execution venues (AMMs vs CLOBs), and show what data can be used to validate model predictions Tuesday 1 July, h. 14.00-16.00: Machine Learning in Finance. State-of-art ML techniques, and how they can be used to solve financial mathematics problems. Introduction of diffusion maps, graph machine learning methods, and causal investing. Wednesday 2 July, h. 14.00-16.00: Goal-Based Wealth Management. A new framework to solve dynamic portfolio optimization problems in finance will be discussed. Rather than postulating risk-averse utility functions, the investor will specify deadlines and amounts of liabilities to be matched by an investment strategy. The basic framework, as well as future extensions and avenues of research, including the inclusion of insurance funds, stochastic deadlines, and connections to multiple optimal stopping will be presented. Best wishes, Athena Picarelli -- *Athena Picarelli* Professor Coordinator of the PhD program in Economics and Finance Dipartimento di Scienze Economiche Università di Verona Polo Santa Marta, Verona.

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SPASS seminar: Ujjwal Koley
by Mario Maurelli 28 Jun '25

28 Jun '25

Dear Colleagues, We would like to invite you to the following SPASS seminar, jointly organized by UniPi, SNS, UniFi and UniSi (abstract below): *Hölder continuous solutions to inhomogeneous incompressible Euler flows* by *Ujjwal Koley* (Center for Applicable Mathematics, Tata Institute of Fundamental Research, Bangalore) The seminar will take place on *TUE, 01.07.2025* at *11:00 CEST *(mind unusual time) in Aula M-Lab, Polo Fibonacci, UNIPI and streamed online at this link <https://meet.google.com/gji-phwo-vbg>. Best regards Mario Maurelli https://sites.google.com/unipi.it/spass <https://www.google.com/url?q=https://sites.google.com/unipi.it/spass&source…> -------------------------------------------- *Title: **Hölder continuous solutions to inhomogeneous incompressible Euler flows* *Abstract: In this talk, we shall *discuss about the* construction of global-in-time Hölder continuous weak solutions to density dependent incompressible Euler equations in three-dimensional periodic domain. The proof is based on convex integration techniques using Mikado flows as building blocks. As a main novelty with respect to the related literature, our result produces Hölder continuous density.*

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