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Seminario divulgativo su TASEP e LPP
by Enrico Scalas 21 Aug '20

21 Aug '20

Car* collegh*, tra i tanti successi recenti della probabilità vi e' l'analisi rigorosa di modelli di fisica statistica introdotti nel XX secolo. A questo proposito, Vi segnalo il seguente seminario divulgativo tenuto da Nicos Georgiou del Dipartimento di Matematica dell'Università del Sussex e disponibile su YouTube: Nicos Georgiou Queues = Traffic = Zombies https://www.youtube.com/watch?v=X6hCTdz0QVw dedicato al processo di esclusione totalmente asimmetrico (TASEP). Se conoscete persone interessate fate pure circolare questo annuncio. Cordiali saluti, Enrico Scalas

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Brazilian School of probability 2020
by Giuseppe Cannizzaro 07 Aug '20

07 Aug '20

Ricevo e inoltro First announcement : *XXIV Brazilian School of Probability* It is a pleasure to announce the XXIV EBP which will take place in the week of August 31st to September 4th. This year's school consists of two mini courses. The first course will be given by *Perla Sousi* (Cambridge) and will be about some of the most recent developments in mixing of Markov chains. The second course will be taught by *Martin Hairer* (Imperial College London) and will be about a recently discovered process, the Brownian Castle. The school will be fully online, using the platform Google Meet and can be moreover followed on the youtube channel of IMPA https://www.youtube.com/impabr. The school will take place every day starting at 9:30am Brasília local time (13:30 British Summer Time) with a talk by Perla Sousi and will be followed at 11:00am Brasília local time (15:00 British Summer Time) by a talk of Martin Hairer. More information under https://www.ime.unicamp.br/ebp2020/index.html. We would be grateful if you could advertise the school among your colleagues. With kind regards, Dirk Erhard, Milton Jara, Adriana Neumann, Christian Olivera

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RTD-A @Unisalento (SSD: 13/D4)
by Fabrizio Durante 05 Aug '20

05 Aug '20

Con preghiera di massima diffusione, segnalo la pubblicazione del bando per la copertura di n. 1 posto di RTD-A (SSD: SECS-S/06) presso il Dipartimento di Scienze dell’Economia dell'Università del Salento. L’attività di ricerca verte sullo sviluppo di metodi e strumenti matematici, ivi incluse le tecniche di calcolo e di elaborazione dei dati, per la costruzione di modelli matematici stocastici per l’analisi e il controllo ottimo di problemi relativi all’economia e alle scienze attuariali e finanziarie, con particolare attenzione alla loro applicabilità a “l'analisi dei mercati, dell'efficienza energetica e del comportamento dei consumatori”. Link: https://www.unisalento.it/bandi-concorsi/-/bandi/view/65239682 Scadenza: *29 agosto 2020* Per maggiori informazioni contattare Maria Chiarolla (maria.chiarolla@unisalento) e Fabrizio Durante (fabrizio.durante(a)unisalento.it) --- Fabrizio Durante Dipartimento di Scienze dell'Economia Centro Ecotekne Pal. C S.P. 6, Lecce - Monteroni LECCE (ITALY) Phone: +39 0832 29 8672 WWW: https://sites.google.com/site/fbdurante/ --

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Ricordo di Rosa Maria Mininni
by Nicola Cufaro Petroni 03 Aug '20

03 Aug '20

Care colleghe, cari colleghi, Venerdì 31 Luglio è venuta a mancare prematuramente la nostra collega Rosa Maria Mininni. Vogliamo ricordare Rosella per il suo impegno didattico costante e per la passione nel seguire i suoi giovani allievi. Il suo continuo interesse verso la ricerca l'ha portata ad occuparsi dei processi aleatori sia da un punto di vista teorico che applicativo, intessendo a tale riguardo fruttuosi legami con l'industria che hanno rafforzato l'identità dell'Università di Bari nel territorio. La sua visione del sapere e del ruolo dell'accademia l'ha spinta ad impegnarsi negli anni negli organi collegiali di ateneo e dipartimentali, facendosi apprezzare per la sua preparazione e per le sue doti umane e organizzative. Purtroppo non sempre ha ottenuto quanto meritato, e la malattia non le ha permesso di raggiungere traguardi ormai prossimi. Rosella lascia a noi colleghi di Dipartimento e a tutta la comunità italiana di Probabilità e Statistica Matematica un patrimonio di idee e azioni di cui fare tesoro. Yun Gang Lu, Nicola Cufaro Petroni, Marcello De Giosa, Vitonofrio Crismale, Stefano Rossi. -- ======================================================= Prof. Nicola Cufaro Petroni ------------------------------------------------------- Dipartimento di Matematica dell'Università di Bari, and INFN Sezione di Bari via E. Orabona 4, 70125 Bari (Italy) Tel ++39 080 5443212/5232289; Cell ++39 338 7408287 Emailcufaro(a)ba.infn.it http://www.ba.infn.it/~cufaro/homepage.html ------------------------------------------------------- "Ὁ βίος βραχὺς, ἡ δὲ τέχνη μακρὴ, ὁ δὲ καιρὸς ὀξὺς, ἡ δὲ πεῖρα σφαλερὴ, ἡ δὲ κρίσις χαλεπή" Ἱπποκράτης ὁ Κῷος, Ἀφορισμοί I.1 =======================================================

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Junior research positions in machine learning at BCAM, Bilbao, Basque Country - Spain
by Gianni Pagnini 02 Aug '20

02 Aug '20

Dear Colleagues, The Basque Center for Applied Mathematics (BCAM) is offering several positions for young researchers to work on machine learning problems. This is an opportunity for MS and last year BS students to start a research career while learning very interesting topics. The offers include internships, PhD student, and research technician positions. Candidates are expected to have strong mathematical background with experience on software languages for numerical computing such as Matlab and Python. You can find below the description of the positions. Further informations are available at the links http://www.bcamath.org/en/research/internships <http://www.bcamath.org/en/research/internships> and http://www.bcamath.org/en/research/job <http://www.bcamath.org/en/research/job> I appreciate if you can distribute the announcement to potential candidates. Thank you very much. Regards, Gianni ——————————————————————————————————————————— PhD Fellowship Research topic title: Supervised learning for COVID-19 prognosis The PhD Student will work on the research project “Early prognosis of COVID-19 infections via machine learning” funded by AXA Research Fund. The researcher will develop techniques for supervised classification based on minimax approaches and apply such techniques to predict the future severity of COVID-19 infections using medical health records. Keywords: supervised learning, supervised classification, statistics, probability, optimization, linear algebra ——————————————————————————————————————————— Internship 1 Research topic title: Multidimensional supervised regression with applications in Physics Most of machine learning methods developed for supervised regression assume the output is a scalar. In numerous applications, the output of interest is a multidimensional quantiy. For instance, in Physics, outputs of interest are usually tensors. This project will develop and implement techniques for multidimensional regression utilizing kernel methods. In addition, the techniques developed will be tested using datasets obtained in numerical Physics. Keywords: machine learning, statistics, reproducing kernel Hilbert spaces, Matlab/Python ——————————————————————————————————————————— Internship 2: Research topic title: Machine learning for very short-term load forecasting Conventional techniques for load forecasting predict energy consumptions for next several hours while multiple energy management tasks require predictions for next minutes. This project will develop and implement machine learning techniques for very short-term load forecasting that provide predictions for next minutes. In addition, such techniques will be based on probabilistic online learning that provides uncertainty assessments and adapts to patterns’ changes Keywords: machine learning, statistics, load forecasting, Matlab/Python ——————————————————————————————————————————— Internship 3: Research topic title: Minimax supervised classification under covariate shift Supervised classification can be approached as a zero sum game between learner and nature. In the standard scenario examples at training are similar to those at prediction while in practical scenarios the example types change. This project will develop supervised classification techniques based on game theory for scenarios where examples are affected by covariate shift. Keywords: machine learning, statistics, optimization, Matlab/Python ——————————————————————————————————————————— Internship 4: Research topic title: Machine learning techniques for emerging 5G networks Methods developed in machine learning and artificial intelligence fields are currently being used in multiple engineering tasks. One such applications is communication networks and specifically 5G networks. This project will develop machine learning techniques that utilize data obtained in a 5G network to obtain predictors of variables such as quality of service based on controlled features for the management of 5G networks. Keywords: machine learning, statistics, data science, Matlab/Python ================================================================ — Gianni Pagnini Ikerbasque Research Associate BCAM - Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 gpagnini(a)bcamath.org | www.bcamath.org/gpagnini ( matematika mugaz bestalde )

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some useful information
by Francesco Caravenna 31 Jul '20

31 Jul '20

Dear Random subscribers, this is a friendly reminder that Random is a list of announcements about events of interest in probability, such as conferences, seminars, open positions, etc, but not a forum of discussion. Random has always been an open mailing list, in particular message submission is non-moderated. For this reason, it is important that all members adhere to the simple rules of the list. We take the occasion to remind you that an archive of all messages posted to Random since 2013 is available at the following link: https://fields.dm.unipi.it/pipermail/random/ that you can also find at the bottom of any message posted to Random. Whenever you send a message to Random, if you don't receive the message yourself (which sometimes can happen, due to a bug), you can check the above page to be sure that the message has been posted and thus avoid multiple postings. We also invite all subscribers to avoid the use of "heavy attachments" and, whenever possible, to replace them with links to resources available online. We remind that the list is currently congfigurated with a message size limit of 4 MB. With our best regards, the Random administrators

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International Conference in Venice - CALL FOR PARTICIPATION
by Monica Billio 30 Jul '20

30 Jul '20

19^th INTERNATIONAL CONFERENCE CREDIT 2020 */Assessing and Managing Climate Change Risk: /* */Opportunities for Financial Institutions/* Venice, Italy 26 –27 September 2019 *COVID-19 update: the CREDIT 2020 Conference is both onsite and online but we are ready to move the conference remotely, if necessary.* *GRETA Associati*(Venice, Italy), *Cattolica Assicurazioni *(Verona, Italy), *European DataWarehouse* (Frankfurt am Main, Germany), *CRIF* (Bologna, Italy), *European Investment* *Fund *(Luxembourg), *European Investment Bank* (Luxembourg) and*Intesa Sanpaolo *(Milan, Italy) are co-sponsors of a Conference to be held in Venice on September 24-25, 2020. The objective of the Conference is to bring together academics, practitioners and PhD students working in the area of risk management. The conference will provide an opportunity for participants engaged in research at the forefront of this area to discuss both the causes and implications of recent financial and climate-related events and may, in turn, suggest fruitful and policy-relevant directions for future research. The Conference, organised under the auspices of the *Department of Economics and VERA - Venice centre in Economic and Risk Analytics for public policies* (University Ca’ Foscari of Venice), *ABI - Italian Banking Association*, *AIAF - Associazione Italiana per l'Analisi Finanziaria* and the *Joint Research Center*, *European Commission* (Ispra, Italy), is the *nineteenth *of a series dedicated to various aspects of credit risk. /The UN 2030 Agenda for Sustainable Development and the adoption of European Commission’s Action Plan on Sustainable Finance mark important international commitments to the objective of a more sustainable economy and society. However, their successful implementation is tightly related to the scaling up of low-carbon investments and divestment from carbon-intensive investments. This, in turn, requires an assessment of the credit risks stemming from investors’ exposure to economic activities and assets that could be stranded by climate change. For instance, regulators’ discussion about the revision of capital requirements aimed to foster green investments (i.e. a green-supporting or a brown-penalising factor) is hampered by the unclear understanding of the implications of a regulatory change on individual institutions and systemic financial risk. Thus, financing the low-carbon transition is primarily a discussion about credit risk./ /The financial sector, and in particular the banking and insurance industries need to develop new portfolios’ risk management strategies and to adjust their credit allocation practices to cope with the opportunities and challenges of the low-carbon transition in the economy and finance. All these changes call for a substantial amount of research to improve the knowledge of the mechanisms at play and to design tailored and effective policy tools./ The SCIENTIFIC COMMITTEE consists of: *Monica Billio *(Ca’ Foscari University of Venice & GRETA, Programme Chair)** *Marina Brogi *(Sapienza University of Rome)** *Francesca Campolongo*(Joint Research Center, European Commission)** *Helmut Kraemer-Eis*(European Investment Fund)** *Rainer Haselmann*(Goethe University, Frankfurt)** *Irene Monasterolo*(Vienna University of Economics and Business)** *Steven Ongena *(University of Zurich, Swiss Finance Institute, KU Leuven & CEPR)** *Roberto Rigobon*(MIT Sloan School of Management)** *Stephen Schaefer*(London Business School) PROGRAMME *Thursday, September 24 2020* *08.30_Registration_* *09.00_Welcome and Opening Remarks_* *09.15_Session I: Regulation and Corporate Strategies_* •*Keynote talk: */TBA - /*Marina Brogi*,**Sapienza University of Rome •/Exporting Pollution: Where Do Multinational Firms Emit CO2? - /*Yeejin Jang*, University of New South Wales, Sidney(join with Itzhak Ben-David, Stefanie Kleimeier and Michael Viehs) •/National Climate Policies and Corporate Internal Carbon Pricing - /*Gianfranco Gianfrate*, EDHEC Business School, Rubaix(join with Nuno Bento and Joseph Aldy) *11.00_Coffee break_* *11.30_Session II: Climate Change_* •/Results presentation of EIBURS Project - /*Loriana Pelizzon*, SAFE-Goethe University Frankfurt & Ca’ Foscari University of Venice •/Climate Change Awareness: Empirical Evidence for the European Union - /*Claudio Morana*,**University of Milano-Bicocca, Collegio Carlo Alberto, Turin & Rimini Centre for Economic Analysis (join with Donatella Baiardi) •/Climate Change Concerns and Mortgage Lending - /*Frank Weikai Li*, Singapore Management University(join with Tinghua Duan) *13.00_Lunch_* *14.15_Session III: Financial System_* •/The Next Step in Green Bond Financing - /*Dion Bongaerts*, Erasmus University Rotterdam(join with Dirk Schoenmaker) •*Unintended*/Consequences of the Global Derivatives Market Reform - /*Pauline Gandré*, University Paris Nanterre(join with Mike Mariathasan, Ouarda Merrouche and Steven Ongena) •*Better*/Fewer, but Better: Stock Returns and the Financial Relevance and Financial Intensity of Materiality - /*Costanza Consolandi*, University of Siena(join with Robert G. Eccles and Giampaolo Gabbi) *15.45_Coffee break and POSTER SESSION_* *16.45_Session IV Corporate Sustainability and Value_* •/Layered Goals-Based Portfolio Optimization Utilizing the Production Properties of ESG Bias - /*Gordon H. Dash*, University of Rhode Island(join with Nina Kajiji) •*Corporate*/Sustainability and Stock Returns: Evidence from Employee Satisfaction - /*Aaron Yoon*, Northwestern University, Chicago(join with Kyle Welch) •/Stranded Fossil Fuel Reserves and Firm Value - /*Eduardo Schwartz*, UCLA Anderson, Los Angeles, Simon Fraser University, Vancouver & NBER *_Social dinner_* *Friday, September 25 2020* **09.00*_Session V: Time of ESG and COVID 19_* •///Are//Women Directors Inherently ESG Friendly? Evidence from Board Gender Quotas //- /*Caroline Raskopf*, University Paris–Dauphine (join with Edith Ginglinger) •///Assessing the Impact of Compound Covid-19, Climate Change and Financial Risk: What Role for Policy Complementarities? - /*Irene Monasterolo*, Vienna University of Economics and Business & Boston University (join with Nepomuk Dunz, Andrea Mazzocchetti and Marco Raberto) •///ESG Integration at the Time of COVID-19 - /*Andrea**Gasperini*, AIAF, Milan (join with Sonia Artuso, Lorena Sorrentino and Ilaria La Torre) *10.30_Coffee break_ * *11.00_Session VI_* •//*Keynote talk: */The EU Technical Support to Design, Develop and Implement Reforms - /*Mario Nava*, European Commission, Brussels *11.30_PANEL Session_* *12.45_Lunch_* *14.15_Session VII: Sustainable Investment_* •///ESG Considerations in Venture Capital and Business Angel Investment Decisions: Evidence from Two Pan-European Surveys - /*Antonia Botsari*, European Investment Fund, Luxembourg (join with Frank Lang) •///Skills and Sentiment in Sustainable Investing - /*Andreas Brøgger*, Copenhagen Business Schooly (join with Alexander Kronies) •///Mind the Gap! Machine Learning, ESG Metrics and Sustainable Investment - /*Ariel A. G. Lanza*, Northwestern University, Chicago (join with Enrico Bernardini and Ivan Faiella) *15.45_Coffee break_* *16.15_Session VIII_* •//*Keynote talk: */How Finance Can Cure Cancer, Solve the Energy Crisis, and Fix Climate Change - /*Andrew W. Lo*, MIT Sloan School of Management, Cambridge *17.00_Closing Remarks and End of the Conference_* *REGISTRATION* To register for the Conference you are requested to complete the registration form that is available on our website (http://www.greta.it/credit/credit2020/credit2020.htm). Registration fees are: PhD Students*: 75 Euro + VAT Onsite participation**: 200 Euro + VAT Online participation***: 200 Euro + VAT *VAT is currently 22% * * Students will have to provide valid proof of their student status. ** Seats are limited in compliance with the new regulations to contain the spread of COVID-19. The onsite registration fees cover admission to all scientific sessions, lunches, and coffee service during the Conference. The onsite registration fees do not fully cover the conference dinner on *September 24th, 2020*, for which there is an extra charge of 90.00 Euro per person (conference attendees as well as accompanying persons). The online registration fees cover access to the platform on September 24th and 25^th , interactivity with authors and other participants. More detailed information soon available on the Conference website: http://www.greta.it/credit/credit2020/credit2020.htm

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International Conference in Venice - CALL FOR PARTICIPATION - errata corrige (title and dates)
by Monica Billio 29 Jul '20

29 Jul '20

19^th INTERNATIONAL CONFERENCE CREDIT 2020 */Environmental, Social and Governance Risks/* Venice, Italy 24 –25 September 2020 *COVID-19 update: the CREDIT 2020 Conference is both onsite and online but we are ready to move the conference remotely, if necessary.* *GRETA Associati*(Venice, Italy), *Cattolica Assicurazioni *(Verona, Italy), *European DataWarehouse* (Frankfurt am Main, Germany), *CRIF* (Bologna, Italy), *European Investment* *Fund *(Luxembourg), *European Investment Bank* (Luxembourg) and*Intesa Sanpaolo *(Milan, Italy) are co-sponsors of a Conference to be held in Venice on September 24-25, 2020. The objective of the Conference is to bring together academics, practitioners and PhD students working in the area of risk management. The conference will provide an opportunity for participants engaged in research at the forefront of this area to discuss both the causes and implications of recent financial and climate-related events and may, in turn, suggest fruitful and policy-relevant directions for future research. The Conference, organised under the auspices of the *Department of Economics and VERA - Venice centre in Economic and Risk Analytics for public policies* (University Ca’ Foscari of Venice), *ABI - Italian Banking Association*, *AIAF - Associazione Italiana per l'Analisi Finanziaria* and the *Joint Research Center*, *European Commission* (Ispra, Italy), is the *nineteenth *of a series dedicated to various aspects of credit risk. /The UN 2030 Agenda for Sustainable Development and the adoption of European Commission’s Action Plan on Sustainable Finance mark important international commitments to the objective of a more sustainable economy and society. However, their successful implementation is tightly related to the scaling up of low-carbon investments and divestment from carbon-intensive investments. This, in turn, requires an assessment of the credit risks stemming from investors’ exposure to economic activities and assets that could be stranded by climate change. For instance, regulators’ discussion about the revision of capital requirements aimed to foster green investments (i.e. a green-supporting or a brown-penalising factor) is hampered by the unclear understanding of the implications of a regulatory change on individual institutions and systemic financial risk. Thus, financing the low-carbon transition is primarily a discussion about credit risk./ /The financial sector, and in particular the banking and insurance industries need to develop new portfolios’ risk management strategies and to adjust their credit allocation practices to cope with the opportunities and challenges of the low-carbon transition in the economy and finance. All these changes call for a substantial amount of research to improve the knowledge of the mechanisms at play and to design tailored and effective policy tools./ The SCIENTIFIC COMMITTEE consists of: *Monica Billio *(Ca’ Foscari University of Venice & GRETA, Programme Chair)** *Marina Brogi *(Sapienza University of Rome)** *Francesca Campolongo*(Joint Research Center, European Commission)** *Helmut Kraemer-Eis*(European Investment Fund)** *Rainer Haselmann*(Goethe University, Frankfurt)** *Irene Monasterolo*(Vienna University of Economics and Business)** *Steven Ongena *(University of Zurich, Swiss Finance Institute, KU Leuven & CEPR)** *Roberto Rigobon*(MIT Sloan School of Management)** *Stephen Schaefer*(London Business School) PROGRAMME *Thursday, September 24 2020* *08.30_Registration_* *09.00_Welcome and Opening Remarks_* *09.15_Session I: Regulation and Corporate Strategies_* •*Keynote talk: */TBA - /*Marina Brogi*,**Sapienza University of Rome •/Exporting Pollution: Where Do Multinational Firms Emit CO2? - /*Yeejin Jang*, University of New South Wales, Sidney(join with Itzhak Ben-David, Stefanie Kleimeier and Michael Viehs) •/National Climate Policies and Corporate Internal Carbon Pricing - /*Gianfranco Gianfrate*, EDHEC Business School, Rubaix(join with Nuno Bento and Joseph Aldy) *11.00_Coffee break_* *11.30_Session II: Climate Change_* •/Results presentation of EIBURS Project - /*Loriana Pelizzon*, SAFE-Goethe University Frankfurt & Ca’ Foscari University of Venice •/Climate Change Awareness: Empirical Evidence for the European Union - /*Claudio Morana*,**University of Milano-Bicocca, Collegio Carlo Alberto, Turin & Rimini Centre for Economic Analysis (join with Donatella Baiardi) •/Climate Change Concerns and Mortgage Lending - /*Frank Weikai Li*, Singapore Management University(join with Tinghua Duan) *13.00_Lunch_* *14.15_Session III: Financial System_* •/The Next Step in Green Bond Financing - /*Dion Bongaerts*, Erasmus University Rotterdam(join with Dirk Schoenmaker) •*Unintended*/Consequences of the Global Derivatives Market Reform - /*Pauline Gandré*, University Paris Nanterre(join with Mike Mariathasan, Ouarda Merrouche and Steven Ongena) •*Better*/Fewer, but Better: Stock Returns and the Financial Relevance and Financial Intensity of Materiality - /*Costanza Consolandi*, University of Siena(join with Robert G. Eccles and Giampaolo Gabbi) *15.45_Coffee break and POSTER SESSION_* *16.45_Session IV Corporate Sustainability and Value_* •/Layered Goals-Based Portfolio Optimization Utilizing the Production Properties of ESG Bias - /*Gordon H. Dash*, University of Rhode Island(join with Nina Kajiji) •*Corporate*/Sustainability and Stock Returns: Evidence from Employee Satisfaction - /*Aaron Yoon*, Northwestern University, Chicago(join with Kyle Welch) •/Stranded Fossil Fuel Reserves and Firm Value - /*Eduardo Schwartz*, UCLA Anderson, Los Angeles, Simon Fraser University, Vancouver & NBER *_Social dinner_* *Friday, September 25 2020* **09.00*_Session V: Time of ESG and COVID 19_* •///Are//Women Directors Inherently ESG Friendly? Evidence from Board Gender Quotas //- /*Caroline Raskopf*, University Paris–Dauphine (join with Edith Ginglinger) •///Assessing the Impact of Compound Covid-19, Climate Change and Financial Risk: What Role for Policy Complementarities? - /*Irene Monasterolo*, Vienna University of Economics and Business & Boston University (join with Nepomuk Dunz, Andrea Mazzocchetti and Marco Raberto) •///ESG Integration at the Time of COVID-19 - /*Andrea**Gasperini*, AIAF, Milan (join with Sonia Artuso, Lorena Sorrentino and Ilaria La Torre) *10.30_Coffee break_ * *11.00_Session VI_* •//*Keynote talk: */The EU Technical Support to Design, Develop and Implement Reforms - /*Mario Nava*, European Commission, Brussels *11.30_PANEL Session_* *12.45_Lunch_* *14.15_Session VII: Sustainable Investment_* •///ESG Considerations in Venture Capital and Business Angel Investment Decisions: Evidence from Two Pan-European Surveys - /*Antonia Botsari*, European Investment Fund, Luxembourg (join with Frank Lang) •///Skills and Sentiment in Sustainable Investing - /*Andreas Brøgger*, Copenhagen Business Schooly (join with Alexander Kronies) •///Mind the Gap! Machine Learning, ESG Metrics and Sustainable Investment - /*Ariel A. G. Lanza*, Northwestern University, Chicago (join with Enrico Bernardini and Ivan Faiella) *15.45_Coffee break_* *16.15_Session VIII_* •//*Keynote talk: */How Finance Can Cure Cancer, Solve the Energy Crisis, and Fix Climate Change - /*Andrew W. Lo*, MIT Sloan School of Management, Cambridge *17.00_Closing Remarks and End of the Conference_* *REGISTRATION* To register for the Conference you are requested to complete the registration form that is available on our website (http://www.greta.it/credit/credit2020/credit2020.htm). Registration fees are: PhD Students*: 75 Euro + VAT Onsite participation**: 200 Euro + VAT Online participation***: 200 Euro + VAT *VAT is currently 22% * * Students will have to provide valid proof of their student status. ** Seats are limited in compliance with the new regulations to contain the spread of COVID-19. The onsite registration fees cover admission to all scientific sessions, lunches, and coffee service during the Conference. The onsite registration fees do not fully cover the conference dinner on *September 24th, 2020*, for which there is an extra charge of 90.00 Euro per person (conference attendees as well as accompanying persons). The online registration fees cover access to the platform on September 24th and 25^th , interactivity with authors and other participants. More detailed information soon available on the Conference website: http://www.greta.it/credit/credit2020/credit2020.htm

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6 PhD positions in Machine Learning @ Sussex
by Enrico Scalas 23 Jul '20

23 Jul '20

Car* collegh*, vi segnalo la disponibilità di sei posti di dottorato all'Università del Sussex nell'ambito del progetto ERC "Bayesian Models and Algorithms for Fairness and Transparency" Per maggiori informazioni potete consultare il link seguente: https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1166-6-PhD-Stu… Vi prego di diffondere l'avviso a studentesse/i potenzialmente interessat*. Cordiali saluti, Enrico Scalas

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dottorato all'Aquila
by davide gabrielli 21 Jul '20

21 Jul '20

E' uscito il bando per l'ammissione al dottorato in Matematica e Modelli presso l'Università dell'Aquila Il bando di concorso è disponibile sul sito dell'Ateneo al link https://www.univaq.it/section.php?id=2026 la versione in inglese si trova al link https://www.univaq.it/en/section.php?id=2026&lang_s=en I candidati dovranno presentare la domanda utilizzando esclusivamente l'apposita procedura online disponibile all'indirizzo https://pica.cineca.it/univaq/univaq-dott36/ e dovranno attenersi alle previsioni contenute nell'art. 5 del bando. La scadenza per la presentazione online delle domande è fissata alle ore 13.00 (ora italiana) del 27 agosto 2020 Bando ed informazioni si trovano anche sulla pagina del programma di dottorato in Matematica e Modelli http://people.disim.univaq.it/~dottorato_mate_mode/ si prega di darne la massima diffusione, saluti Davide Gabrielli

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