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Seminario Marianna Pensky a Roma Tor Vergata
by Anna Vidotto 02 Jul '19

02 Jul '19

Dear all, I would like to announce the following talk that will be held on Friday *July* *12th* 2019, at *4:30 PM*, in *Aula D’Antoni (1101)* of the Department of Mathematics, University of Rome Tor Vergata. *Speaker:* Marianna Pensky (University of Central Florida) *Title:* *Estimation and Clustering in Popularity Adjusted Stochastic Block Model * *Abstract:* Stochastic networks in general and stochastic block models in particular attracted a lot of attention in the last decade. The talk considers the Popularity Adjusted Block model (PABM) which generalizes the Stochastic Block model and the Degree Corrected Block Model by allowing more flexibility for block probabilities. We argue that the main appeal of the PABM is its less rigid spectral structure which makes the PABM an attractive choice for modeling networks that appear in biological sciences. Based on a joint work with Majid Noroozi and Ramchandra Rimal. For the Probability and Mathematical Statistics talks held at the Department of Mathematics of the University of Rome Tor Vergata, see also the dedicated webpage http://www.mat.uniroma2.it/~ricerca/probab/talks.php. Kind regards, Anna Vidotto --------- Anna Vidotto PostDoc Researcher Dipartimento di Matematica Università degli Studi di Roma Tor Vergata https://sites.google.com/view/annavidotto

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GSSI Postoc Call - Deadline July 11
by davide gabrielli 02 Jul '19

02 Jul '19

Ricevo ed inoltro ---------- Forwarded message --------- Da: Pierangelo Marcati <pierangelo.marcati(a)yahoo.it> Date: sab 29 giu 2019 alle ore 10:35 Subject: GSSI Postoc Call - Deadline July 11 DO NOT REPLY ON THIS ADDRESS IT IS A TEMPORARY MAIL SINCE IN CHINA MY USUAL EMAIL IS BLOCKED BUT YOU CAN WRITE TO ME IN THE USUAL WAY Please inform the interested people that the call for 3 GSSI postoctoral positions can be found on https://applications.gssi.it/postdoc/ Application deadline is July 11, 2019, h. 6 p.m. italian time zone For additional information: info(a)gssi.it --------------------------------------------------------------------- 3 positions in Mathematics - 1 position for the EU research project GrowBot -Towards a new generation of plant-inspired growing artefacts. The position is supported under the Grant Agreement n. 818744 (Call: ERC-2018-COG). Mathematical methods and numerics for models of plant biology. The research activity will be carried out within the European project GROWBOT https://www.growbot.eu/ and will be subject to the rules of the related contract. Annual gross salary: 36.000,00. The postdoc position is funded for 2 years, with possibility of renewal subject to financial availability. -2 GSSI positions for the following profile: Numerical methods for Partial differential equations and Dynamical systems, Numerical linear algebra, Mathematical models in Fluid dynamics and Biology, models of collective behavior, dynamics on networks. Stochastic differential equations, stochastic methods in statistical mechanics, hydrodynamic limits. Computational methods in seismology with experience in HPC. Mathematical methods for quantum computing, mathematics in quantum cryptography. Annual gross salary: 36.000,00. The research grant is for 2 years. A very good knowledge of English is required. The applications must be sent to GSSI only by filling out the online application form at https://applications.gssi.it/postdoc/ Deadline: July 11, 6 p.m. (italian time zone). The application must include: - a curriculum vitae - a research statement - id document The full call for applications is available at https://applications.gssi.it/postdoc/ For additional information: info(a)gssi.it

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Call for interest - Polimi - Assegno di ricerca
by Daniele Marazzina 01 Jul '19

01 Jul '19

Con preghiera di diffusione >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> Il Qfinlab, laboratorio di finanza quantitativa del Dipartimento di Matematica del Politecnico di Milano, sta valutando la possibilità di bandire un assegno di ricerca su tematiche relative all'Educazione Finanziaria. Eventuali persone interessate a partecipare al progetto possono inviare il loro cv all'indirizzo edufin(a)polimi.it<mailto:edufin@polimi.it> . Per informazioni sul gruppo e sulle attività relative all'Educazione Finanziaria, si rimanda a www.qfinlab.polimi.it<http://www.qfinlab.polimi.it> e www.imparalafinanza.it<http://www.imparalafinanza.it> Cordialmente Daniele Marazzina

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Fwd: Polimi - Bando per l'assunzione di un RtdA
by Daniele Marazzina 01 Jul '19

01 Jul '19

Con preghiera di diffusione Selezione pubblica per l'assunzione di 1 RtdA - Settore Concorsuale 13/D4 - METODI MATEMATICI DELL’ECONOMIA E DELLE SCIENZE ATTUARIALI E FINANZIARIE. Scadenza: 29-7-2019 https://www.polimi.it/index.php?id=6196&tx_wfqbe_pi1[ID]=473 <https://www.polimi.it/index.php?id=6196&tx_wfqbe_pi1[ID]=473> Bando di concorso polimi.it DIPARTIMENTO DI MATEMATICA Selezione pubblica per l'assunzione di 1 Ricercatore a tempo determinato …

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Fwd: Bando Concorso Ricercatore INdAM
by Francesco Caravenna 01 Jul '19

01 Jul '19

Ricevo e inoltro. > Da: Mauro Petrucci <petrucci(a)altamatematica.it> > Oggetto: Bando Concorso Ricercatore INdAM > Data: 1 luglio 2019 16:15:43 CEST > > Cari Colleghi, > > vi informo che, come programmato, è stato bandito un Concorso Pubblico per Titoli ed Esami per l’assunzione di un Ricercatore a Tempo > Indeterminato, III Livello professionale, presso l’Istituto Nazionale di Alta Matematica “F. Severi”. > Le tematiche di ricerca previste sono quelle che non erano state coperte dal precedente bando. > > La scadenza per la presentazione delle domande è il giorno *28 luglio 2019*. > > Il bando e il modulo per la procedura on-line per la presentazione delle domande si trovano nella pagina web: > > https://www.altamatematica.it/ <https://www.altamatematica.it/> > > Cordiali saluti, > Giorgio Patrizio > > ____________________ > > Giorgio Patrizio > Presidente INdAM > > Istituto Nazionale di Alta Matematica "Francesco Severi" > Piazzale Aldo Moro, 5 > 00185 - Roma > Italia > tel. +39 06490320 - 064440665

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Seminario: Lorenzo Trippa, Adaptive trial design in glioblastoma
by Antonio Pievatolo 28 Jun '19

28 Jun '19

Thursday 4 July 2019 at 14:30 Lorenzo Trippa, Harvard University and Dana-Farber Cancer Institute, Department of Statistics and Computational Biology CNR IMATI, Via A. Corti, 12, Milano, Aula B *Adaptive trial design in glioblastoma* There have been few treatment advances for patients with glioblastoma (GBM) despite increasing scientific understanding of the disease. While factors such as intrinsic tumor biology and drug delivery are challenges to developing efficacious therapies, it is unclear whether the current clinical trial landscape is optimally evaluating new therapies and biomarkers. We queried ClinicalTrials.gov for interventional clinical trials for patients with GBM initiated between January 2005 and December 2016 and abstracted data regarding phase, status, start and end dates, testing locations, endpoints, experimental interventions, sample size, clinical presentation/indication, and design to better understand the clinical trials landscape. Only approximately 8%–11% of patients with newly diagnosed GBM enroll on clinical trials with a similar estimate for all patients with GBM. Trial duration was similar across phases with median time to completion between 3 and 4 years. While 93% of clinical trials were in phases I–II, 26% of the overall clinical trial patient population was enrolled on phase III studies. We use the results of this meta analysis to discuss pros and cons of trial designs in GBM. This analysis includes platforms and the use of external controls. Platform design allow to add new experimental arms to the clinical study when they become available, while the aim of an external controls is to leverage external data that were not generated from the clinical study. -- Dr Antonio Pievatolo IMATI-CNR http://www.imati.cnr.it/joomla/index.php/people?layout=edit&id=101 ph. +39 02 23699 520

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Fwd: Upcoming Luiss Research Seminars Week of July 1-5, 2019
by Sara 28 Jun '19

28 Jun '19

For your information, many thanks. Sara ---------- Forwarded message --------- From: ricercaluiss <ricerca(a)luiss.it> Date: Fri, Jun 28, 2019 at 9:57 AM Subject: Upcoming Luiss Research Seminars Week of July 1-5, 2019 To: <sbiagini(a)luiss.it> [image: banner] *Upcoming Luiss Research Seminars* *Week of July 1-5, 2019* *Tuesday, 2nd July* ------------------------------ *Department of Economics and Finance* *Cagin Ararat*, Bilkent University Set-Valued Quasiconvex Risk Measures <http://mailsender.luiss.it/lists/lt.php?id=cRpWBAADSAQCCAZOVwhRDQ0> Luiss | Viale Romania, 32 | Room 207, 10:30am-11:30am ------------------------------ *Department of Economics and Finance* *Cagin Ararat*, Bilkent University Computation of Systemic Risk Measures <http://mailsender.luiss.it/lists/lt.php?id=cRpWBAAASAQCCAZOVwhRDQ0> Luiss | Viale Romania, 32 | Room 207, 11:30am-1pm ------------------------------ *Department of Business and Management* *Harris Kyriakou*, IESE Business School A Relational Perspective on Consumption and Contribution in Online Innovation Communities <http://mailsender.luiss.it/lists/lt.php?id=cRpWBAABSAQCCAZOVwhRDQ0> Luiss | Viale Romania, 32 | Room 303, 11:30am-1pm ------------------------------ *Ufficio Ricerca* Luiss Guido Carli Viale Romania, 32 ricerca(a)luiss.it powered by phpList <http://mailsender.luiss.it/lists/lt.php?id=cRpRTgADDQNPAw0HXQU> -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli Address: viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/

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Workshop on "Large Scale Random Structures" at Milano-Bicocca (10-11 July 2019)
by Francesco Caravenna 27 Jun '19

27 Jun '19

I am pleased to announce the Third Workshop on "Large Scale Random Structures" Wed 10 - Thu 11 July 2019 Aula 3014, U5 building Department of Mathematics and Applications, University of Milano-Bicocca Co-sponsored by the PRIN 2015 Project "Large Scale Random Structures" (P.I. Fabio Martinelli) See below for the program. More details on the webpage: http://staff.matapp.unimib.it/~fcaraven/prin2015/workshop-2019/ <http://staff.matapp.unimib.it/~fcaraven/prin2015/workshop-2019/> Participation is free, but registration is required (just contact me by email). Francesco Caravenna %%%%%%%%%%%%%%%%%%%%%%%%%% PROGRAM Wed 10 July 14:20 Opening 14:30-15:10 Elisabetta Candellero (Roma Tre) Oil and water model on vertex transitive graphs 15:15-15:55 Vittoria Silvestri (Cambridge / Roma Sapienza) Planar aggregation models with subcritical fluctuations 16:00-16:30 Coffee Break 16:30-17:10 Paolo Dai Pra and Marco Formentin (Padova) Mean-field models with multiscale structure 17:15-17:55 Alexandre Stauffer (Roma Tre) Competition in randomly growing processes 18:00-18:40 Massimo Campanino (Bologna) Ornstein-Zernike behaviour for the correlation functions of the ground state of the quantum Ising model with transverse magnetic field Evening: Social Dinner Thu 11 July 09:00-09:40 Pietro Caputo (Roma Tre) Mixing time of PageRank surfers on sparse random digraphs 09:45-10:25 Alessandra Bianchi and Samuele Stivanello (Padova) Random walks in random media 10:30-11:00 Coffee Break 11:00-11:40 Francesca Collet (Padova) Dynamical aspects of a Curie-Weiss model of self-organized criticality: moderate fluctuations 11:45-12:25 Francesca Nardi (Firenze) Hitting time asymptotics for hard-core interactions on bipartite graphs 12:30-13:10 Alessandra Faggionato (Roma Sapienza) Stochastic homogenization in amorphous media and applications to exclusion processes and random resistor network 13:15 Closing %%%%%%%%%%%%%%%%%%%%%%%%%% _________________________________________ Francesco Caravenna Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca Via Cozzi 55, 20125 Milano, Italy http://www.matapp.unimib.it/~fcaraven/ _________________________________________

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Conference Econometrics in The Arena 2019 - Verona - 12-13 settembre 2019 (fwd)
by Cecilia 27 Jun '19

27 Jun '19

We announce the forthcoming conference: ECONOMETRICS IN THE ARENA 2019 at the Department of Economics of the University of Verona on September 12-13, 2019. Details and registration can be found at http://dse.univr.it/ecarena/ The conference will serve as a venue to discuss the most recent advances in theoretical and applied econometrics in a vibrant research environment. Invited speakers: Federico Bandi (Johns Hopkins University) Monica Billio (Ca' Foscari University of Venice) Massimiliano Caporin (University of Padua) Giuseppe Cavaliere (University of Bologna) Valentina Corradi (University of Surrey) Fulvio Corsi (University of Pisa) Liudas Giraitis (Queen Mary - University of London) Offer Lieberman (Bar-Ilan University) Alessandra Luati (University of Bologna) Tassos Magdalinos (University of Southampton) Federico Martellosio (University of Surrey) Paolo Paruolo (JRC - European Commission) Eduardo Rossi (University of Pavia) We hope you can attend and we look forward to your participation. Organizers: Roberto Renò, roberto.reno(a)univr.it Francesca Rossi, francesca.rossi_02*univr.it <== Sostituire il carattere | con . e il carattere * con @ per avere indirizzo email corretto.

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EXTENDED deadline for open postdoc position (Geoazur/Inria)
by Josiane Zerubia 27 Jun '19

27 Jun '19

---------------------------------------------------------------------------------------------------------------------------------- Open post-doc position at Géoazur in collaboration with Inria, at Sophia Antipolis, France, in the research area: Curvilinear network detection on satellite images using AI, stochastic models and deep learning. EXTENDED Submission deadline July 31, 2019 ---------------------------------------------------------------------------------------------------------------------------------- Open Position for a post-doc scientist at Géoazur (https://geoazur.oca.eu/fr/acc-geoazur) in collaboration with Inria (https://www.inria.fr/en/centre/sophia), at Sophia Antipolis (Nice region), France, in the area of Computer Vision, Deep Learning and Remote Sensing applied to curvilinear detection on both optical and SAR satellite images (project abstract below). Both Geoazur and Inria Sophia Antipolis are ideally located in the heart of the French Riviera, inside the multi-cultural silicon valley of Europe (ie. Sophia-Antipolis, see https://en.wikipedia.org/wiki/Sophia_Antipolis). This position is funded by University Côte d'Azur (UCA, see http://univ-cotedazur.fr/en#.XOforoWTpT4). Duration: 18 months Starting date: between September 1st and December 1st 2019. Salary: gross salary per month 3000 EUR (ie. approximately 2400 EUR net) Please see full announcement https://faultsrgems.oca.eu/images/FAULT/News/Post-doc_offer-AI-ManighettiZe…, or on https://euraxess.ec.europa.eu/jobs/411481 Candidate profile Strong academic backgrounds in Stochastic Modeling, Deep Learning, Computer Vision, Remote Sensing and Parallel Programming with GPUs and/or multicore CPUs. A decent knowledge of Earth and telluric features (especially faults) will be appreciated. To apply, please email a full application to both Isabelle Manighetti (manighetti(a)geoazur.unice.fr) and Josiane Zerubia (josiane.Zerubia(a)inria.fr), indicating “UCA-AI-post-doc” in the e-mail subject. The application should contain: - a motivation letter demonstrating motivation, academic strengths and related experience to this position. - CV including publication list - at least two major publications in pdf - minimum 2 reference letters Project abstract Curvilinear structure networks are widespread in both nature and anthropogenic systems, ranging from angiography, earth and environment sciences, to biology and anthropogenic activities. Recovering the existence and architecture of these curvilinear networks is an essential and fundamental task in all the related domains. At present, there has been an explosion of image data documenting these curvilinear structure networks. Therefore, it is of upmost importance to develop numerical approaches that may assist us efficiently to automatically extract curvilinear networks from image data. In recent years, a bulk of works have been proposed to extract curvilinear networks. However, automated and high-quality curvilinear network extraction is still a challenging task nowadays. This is mainly due to the network shape complexity, low-contrast in images, and high annotation cost for training data. To address the problems aroused by these difficulties, this project intends to develop a novel, minimally-supervised curvilinear network extraction method by combining deep neural networks with active learning, where the deep neural networks are employed to automatically learn hierarchical and data-driven features of curvilinear networks, and the active learning is exploited to achieve high-quality extraction using as few annotations as possible. Furthermore, composite and hierarchical heuristic rules will be designed to constrain the geometry of curvilinear structures and guide the curvilinear graph growing. The proposed approach will be tested and validated on extraction of tectonic fractures and faults from a dense collection of satellite and aerial data and “ground truth” available at the Géoazur laboratory in the framework of the Faults_R_Gems project co-funded by the University Côte d’Azur (UCA) and the French National Research Agency (ANR). Then we intend to apply the new automatic extraction approaches to other scenarios, as road extraction in remote sensing images of the Nice region, and blood vessel extraction in available medical image databases. -- Josiane Zerubia INRIA Sophia-Antipolis Méditerranée BP 93, 2004 Route des Lucioles 06902 Sophia-Antipolis Cedex - France phone: +33 4 92 38 78 65, fax: +33 4 92 38 78 58 email: Josiane.Zerubia(a)inria.fr web: http://www-sop.inria.fr/members/Josiane.Zerubia/index-eng.html

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Puntata di radio 3 scienza
by Lorenzo Zambotti 24 Jun '19

24 Jun '19

Gentili colleghi e colleghe, vi segnalo il link al podcast di una puntata di radio 3 scienza della settimana scorsa, in cui si e' parlato di Ernst e Martin Hairer e in cui mi e' stato chiesto di intervenire (in diretta dal congresso di Vietri sul Mare) https://www.raiplayradio.it/audio/2019/06/RADIO3-SCIENZA-del-20062019---Di-…

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Corso Enrico Scalas presso UNISA
by Barbara Martinucci 22 Jun '19

22 Jun '19

Università degli Studi di Salerno Dipartimento di Matematica Si rende noto che nel periodo 25 giugno - 12 luglio 2019 si terrà il corso di dottorato "From Markov chains to semi-Markov processes: The consequences of time change". Le lezioni saranno tenute dal Prof. Enrico Scalas, Professor of Statistics & Probability, University of Sussex, UK (pagina web: http://www.sussex.ac.uk/profiles/330303) e si terranno nella sala del consiglio del Dipartimento di Matematica secondo il seguente calendario: - lezione 1 (2 ore): martedì 25 giugno, ore 11:00-13:00; - lezione 2 (3 ore): venerdì 28 giugno, ore 10:00-13:00; - lezione 3 (3 ore): martedì 2 luglio, ore 10:00-13:00; - lezione 4 (3 ore): giovedì 4 luglio, ore 10:00-13:00; - lezione 5 (2 ore): martedì 9 luglio, ore 11:00-13:00; - lezione 6 (3 ore): venerdì 12 luglio, ore 10:00-13:00. Gli interessati sono invitati a partecipare. I contenuti del corso sono riportati qui di seguito. Research context What happens if the discrete time at which innovations occur for a Markov chain is replaced by a counting process? If the counting process is the Poisson process, one still gets a Markov process. On the contrary, if the counting process is of renewal type, the resulting process is no longer Markovian: It becomes a semi-Markov process. Semi-Markov processes have infinite memory and are naturally related to non-local operators in time such as the so-called Caputo derivative that appears when the expected values of inter-event times diverge. For this reason, there has been a surge of interest on these processes in recent years. Syllabus: 1. From Markov chains to semi-Markov processes: General framework (2 hours) 1.1 From the Poisson process to the fractional Poisson process 1.2 Time change and its consequences 2. Example 1: Continuous-time random walks (CTRWs) and applications (8 hours) 2.1 The diffusion equation and the normal compound Poisson process 2.2 The space-time fractional diffusion equation and CTRWs 2.3 Some applications 3. Example 2: Semi-Markov graph dynamics (6 hours) Pre-requisites The course will be accessible to first year PhD students (Corso di Dottorato in Matematica, Fisica e Applicazioni). In fact, the main pre-requisites are: 1. An introductory course in probability and statistics. 2. Fourier and Laplace transforms. Learning objectives After following this course, the students should be able: 1. To read and understand the recent literature on semi-Markov process 2. To perform calculations on continuous-time random walks and other semi-Markov processes using elementary probabilistic methods Essential references: - Scalas, Enrico (2017) Continuous-time statistics and generalized relaxation equations. European Physical Journal B: Condensed Matter and Complex Systems, 90 (11). p. 209. ISSN 1434-6028. - Baleanu, Dumitru, Diethelm, Kai, Scalas, Enrico and Trujillo, Juan J (2016) Fractional calculus: models and numerical methods (2nd edition). Series on complexity, nonlinearity and chaos, 5. World Scientific, Singapore. ISBN 9789813140035. - Georgiou, Nicos, Kiss, Istvan Z and Scalas, Enrico (2015) Solvable non-Markovian dynamic network. Physical Review E, 92 (4). 042801. ISSN 1539-3755.

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annuncio seminario
by Piccioni, Mauro 21 Jun '19

21 Jun '19

Martedì 25 giugno 2019 alle ore 15 in Aula di Consiglio del Dipartimento di Matematica Guido Castelnuovo, Sapienza Università di Roma Il Prof. Antonio Galves dell'Instituto de Matematica e Estadistica Universidade de Sao Paulo terrà una conferenza dal titolo: CHAINS WITH MEMORY OF VARIABLE LENGTH AS NEUROBIOLOGICAL MODELS Tutti gli interessati sono invitati a partecipare. Per informazioni rivolgersi a Mauro Piccioni.

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Dottorato in Matematica a Roma La Sapienza
by Faggionato, Alessandra 19 Jun '19

19 Jun '19

Buongiorno e' uscito il bando per il Dottorato in Matematica alla Sapienza. Informazioni dettagliate si trovano al sito https://phd.uniroma1.it/web/CONCORSO-DI-AMMISSIONE-XXXV-MATEMATICA_nX3519_I… Grazie per l'attenzione Saluti Alessandra Faggionato -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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ricercatore RTD-B a Pisa
by Marco Romito 18 Jun '19

18 Jun '19

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New PhD program
by Franco Flandoli 15 Jun '19

15 Jun '19

New PhD program at Scuola Normale Superiore, Pisa, Italy — Call for applications At least nine PhD Fellowships are available for students interested in pursuing a PhD degree in Computational Methods and Mathematical Modeling for the Sciences and Finance. Areas of study include Numerical Analysis and Scientific Computing, Mathematical Models for the Sciences and Finance, Computational Physics/Chemistry/Biology, and Operations Research. A description of the new PhD program can be found at https://www.sns.it/en/computational-methods-and-mathematical-models-for-sci… For instruction on how to apply, please see https://www.sns.it/en/admissions/phd/how-to-apply-for-the-post-graduate-cou…

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New PhD program at Scuola Normale Superiore, Pisa, Italy — Call for applications
by Maria Elvira Mancino 14 Jun '19

14 Jun '19

>> ---------------------------------------------------------- >> >> New PhD program at Scuola Normale Superiore, Pisa, Italy -- Call for applications >> >> At least nine PhD Fellowships are available for students interested in pursuing a PhD degree in >> >> COMPUTATIONAL METHODS AND MATHEMATICAL MODELING FOR THE SCIENCES AND FINANCE. >> >> Areas of study include Numerical Analysis and Scientific Computing, Mathematical Models for the Sciences and Finance, Computational Physics/Chemistry/Biology, and Operations Research. >> >> A description of the new PhD program can be found at >> >> https://www.sns.it/en/computational-methods-and-mathematical-models-for-sci… >> >> For instruction on how to apply, please see >> >> https://www.sns.it/en/admissions/phd/how-to-apply-for-the-post-graduate-cou… >> >> --------------------------------------------------

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Second Italian Meeting on Probability and Mathematical Statistics
by Antonio DI CRESCENZO 12 Jun '19

12 Jun '19

Dear Colleagues, we recall that the *Second Italian Meeting on Probability and Mathematical Statistics* is forthcoming (Vietri sul Mare (SA), Italy, June 17th - 20th, 2019). See all details at the conference web site: http://www.salerno2019.dipmat.unisa.it Looking forward meeting you soon in Vietri sul Mare. *The Scientific Committee* Claudia Ceci, Paolo Dai Pra, Antonio Di Crescenzo, Franco Fagnola, Franco Flandoli, Antonio Lijoi, Andrea Pascucci, Franco Pellerey, Laura Sacerdote *The Local Organizing Committee* Giacomo Ascione, Aniello Buonocore, Camilla Calì, Luigia Caputo, Antonio Di Crescenzo, Maria Longobardi, Barbara Martinucci, Alessandra Meoli, Luca Paolillo, Paola Paraggio, Enrica Pirozzi, Fabio Travaglino

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Seminario: Samuele Stivanello, Ecology of human activities
by Antonio Pievatolo 11 Jun '19

11 Jun '19

Lunedi' 17 giugno alle 14:45, presso il CNR-IMATI, in via A. Corti, 12, Milano, Aula Pentagonale edificio Bassini II piano, si terrà il seguente seminario: Samuele Stivanello, Dipartimento di Matematica, Universita' di Padova Title: Ecology of human activities Abstract: One of the most studied macro-ecological pattern is the Relative Species Abundance (RSA), describing the distribution of the population among species. Various natural ecosystems share a common shape of the empirical RSA and through years ecologists have used several recipes - some of them are rule of thumb prescriptions - to determine global RSA features from local information. Recently our group has developed a rigorous statistical framework able to predict global scale biodiversity from scattered local plots ([2], [3]). Such a framework is derived from a simple mathematical model informed by basic biological assumptions. In this talk we illustrate how to adapt/generalize such an approach to human activities. In particular we consider four datasets of man-made systems and/or network mediated human activities: e-mail communication, Twitter posts, Wikipedia articles and Gutenberg books. Once we set the proper correspondence to what we consider species and individuals of a species, our approach reveals RSA is scale-free in each mentioned dataset with a power law form maintained - with roughly the same exponent - through the different human activities considered. In turn, RSA scale-invariance allows us to use activity information on local scale to predict hidden features of the human dynamics at the global scale. E-mail communication is particular relevant to illustrate our method as well as our results and possible applications. We consider the senders’ activity network where each node is a sender and a directed link from node A to node B represents an email issued from user A to user B. We set the identity of a sender to identify the species and the number of sent emails to be the individuals pertaining to a species. Thus, for instance, if user A has sent n emails we say that the species A has n individuals. Now, suppose an observer has access to a small sample of sent emails, or equivalently to partial information on links and nodes of the email communication network. Our method is capable to infer the number of nodes (i.e. the number of users) and the degree distribution (i.e. the topology) of the whole network, thus revealing features of the dynamics unknown to the observer. Moreover, our framework predicts how the number of users grows with the number of links recorded, which represents another well known pattern in ecology called the Species-Accumulation Curve (SAC). These findings may have applications in resource management, optimal network design and information diffusion on graphs. This is a work in collaboration with M. Formentin, A. Tovo and S. Favaro [1]. [1] M. Formentin, A. Tovo, S. Stivanello, S. Favaro. Ecology of human activities. In preparation, 2019+. [2] A. Tovo, S. Suweis, M. Formentin, M. Favretti, I. Volkov, J. R. Banavar, S. Azaele, A. Maritan. Upscaling species richness and abundances in tropical forests. Science Advances 3 (10) (2017) e1701438. [3] A. Tovo, M. Formentin, S. Suweis, S. Stivanello, S. Azaele. A. Maritan. Inferring macro-ecological patterns from local species’ occurrences. Methods in Ecology and Evolution, submitted, 2019. -- Dr Antonio Pievatolo IMATI-CNR http://www.imati.cnr.it/joomla/index.php/people?layout=edit&id=101 ph. +39 02 23699 520

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PhD call in Mathematics UniTn-UniVr
by Luca di persio 11 Jun '19

11 Jun '19

Dear all, the following call for PhD positions in Mathematics has been opened: PhD PROGRAMME IN MATHEMATICS University of Trento Jointly run with the University of Verona ANNOUNCEMENT OF SELECTION: 35thcycle – Academic Year 2019-2020 *DEADLINE FOR APPLICATIONS: JULY 31**, 2019,* hrs. 04.00 PM (Italian time, GMT +2) Link to the Application online <http://www.unitn.it/en/apply/dott> Positions: no. 14 Scholarships: no. 14 Supernumerary positions: no. 2 (see art. 7 of the call) __ Luca Di Persio - PhD College of Mathematics Dept. of Computer Science - University of Verona strada le Grazie 15 - 37134 Verona - Italy Tel : +39 045 802 7968 <http://www.hpa8.com/>

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New PhD position in probability at Sussex
by Enrico Scalas 10 Jun '19

10 Jun '19

Car* collegh*, vi prego di inviare questo annuncio a persone interessate. Grazie e cordiali saluti, Enrico Scalas Professor of Statistics and Probability University of Sussex UK -- PhD studentship on Large Deviation Rate Function and Variance for Inhomogeneous Corner Growth Processes Department of Mathematics, University of Sussex Supervisors: Nicos Georgiou, Enrico Scalas Deadline for application: 1 September 2019 12:00 (GMT) Details at: https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1081-PhD-stude… https://www.jobs.ac.uk/job/BSW711/phd-studentship-on-large-deviation-rate-f… Contacts: Dr Nicos Georgiou (n.georgiou(a)sussex.ac.uk) and Prof Enrico Scalas (e.scalas(a)sussex.ac.uk)

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Set valued risk measures and Systemic risk measures at LUISS
by Sara 10 Jun '19

10 Jun '19

On July 2 from 10:30 to 13:00 - Room 207, at LUISS, viale Romania 32, Roma, prof. Cagin Ararat from Bilkent University will give two talks: Talk I Title: Set-valued quasiconvex risk measures Abstract: Set-valued risk measures are defined naturally in environments where it is necessary to measure the risk of a random vector. In this talk, we consider set-valued risk measures that are defined as compositions of two set-valued functions. This class of risk measures is rich enough to cover many examples of the systemic risk measures studied in the recent literature. We pay special attention to the properties of the constituent set-valued functions that guarantee the quasiconvexity of the composite risk measure. It turns out that the so-called natural quasiconvexity property, an old but not so well-known property between convexity and quasiconvexity, plays a key role in the study of these risk measures. The main results provide dual representations for quasiconvex, naturally quasiconvex and convex compositions in terms of the dual functions of the constituents. Talk II Title: Computation of systemic risk measures Abstract: Various approaches to measure systemic risk have been proposed in the recent literature using multivariate functionals. These functionals are typically defined in terms of a so-called aggregation function, which takes into account the interconnectedness of the institutions in the network, and a univariate risk measure applied to the random output of the aggregation function. In this talk, we specialize into the Eisenberg-Noe and Rogers-Veraart network models and formulate the corresponding systemic risk measures as large-scale vector optimization problems. While the former model yields a convex problem which can be solved efficiently using non-smooth optimization techniques, the efficient frontier for the latter model turns out to be the boundary of a non-convex set. -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli Address: viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/

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Lecturer in Financial Mathematics at the University of Leeds
by Tiziano De Angelis 09 Jun '19

09 Jun '19

Dear All, Could you please bring to the attention of potential candidates the advert below for a lecturer position in the School of Mathematics at the University of Leeds https://jobs.leeds.ac.uk/Vacancy.aspx?ref=MAPMA1109 The deadline for application is 4 July 2019. For further information about the Probability and Financial Mathematics group at Leeds please visit https://physicalsciences.leeds.ac.uk/info/152/probability_and_financial_mat… Thank you and best wishes Tiziano

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seminario Drivas a Pisa
by Marco Romito 09 Jun '19

09 Jun '19

dear all this is to announce that Theodore Drivas (Princeton University) will give a talk on *next Wednesday, June 12* at 11am in Sala Seminari, Dipartimento di Matematica, Università di Pisa (largo B. Pontecorvo 5, 56127 Pisa). cheers m. *Title*: /Spontaneously stochastic solutions in dynamical systems with singularities/ *Abstract*: We consider a class of dynamical systems described by ordinary differential equations with an isolated singularity, where the singularity is characterized by the lack of Lipschitz continuity. Singularities are common in applications both for ODEs (e.g., particles collisions) and PDEs (e.g., finite-time blowup in fluid models). The fundamental obstacle is that solutions cannot be continued past the singularity uniquely: typically, there are infinitely many solutions. The conventional way to proceed is to define a regularization limit, such as vanishing viscosity or noise. It turns out that there are structurally stable situations when such a limit is not sensitive to a particular form of the regularization. This is explained by the analysis of attractors for the rescaled (non-singular) dynamical system and their ergodic properties. What is even more surprising is that solutions in this limit may become probabilistic (spontaneously stochastic) with the unique probability measure past the singularity. We will present rigorous results and discuss applications of this phenomenon.

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Seminario di Peter Parczewski a Bologna
by Alberto Lanconelli 08 Jun '19

08 Jun '19

Statistics Seminars 2019 Martedì 11 Giugno 2019 ore 14,30 Aula III, secondo piano, Dipartimento di Scienze Statistiche "Optimal approximation of (anticipating) SDEs" Dott. Peter Parczewski, Mannheim University Abstract We present a general mean squared error expansion for optimal approximation of Wiener functionals based on finite and equidistant observations of the Brownian motion.The expansion is given in terms of Malliavin calculus and the terms involved exhibit Hilbert space structures. This gives lower error bounds for arbitrary numerical schemes which are constructed from an equidistant information of the Brownian motion. Due to this expansion we are able to recover and improve many results on optimal approximation of Ito SDEs and anticipating SDEs, where the integral is interpreted in Skorohod sense, a mean zero extension of the Ito integral to nonadapted integrands. Tutti gli interessati sono invitati a partecipare Alberto Lanconelli Dipartimento di Scienze Statistiche "Paolo Fortunati" Alma Mater Studiorum - Università di Bologna

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