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Subject: Conference on AI in Finance and Industry, September 3, 12:30 CEST, online
Dear all

We would like to invite you to our “5th European Conference on Artificial Intelligence in Industry and Finance”.
· When: September 3rd , 12:30 – 17:30 CEST · Where: Zoom (Please register here<zhaw.zoom.us/webinar/register/WN_FdsRHUhLTWinAQ83WVwz_w>) · Who: 19 distinguished speakers from academia and industry · Keynote: Martin Ulbrich, European Commission

Thematic sessions: · Artificial Intelligence in Industry · Artificial Intelligence in Finance · Regulatory Technology in Finance · Ethical Questions in Artificial Intelligence

Selected Speakers:
· Prof. Dr. Monica Billio, Università Ca’ Foscari Venezia Bayesian Dynamic Tensor Regression for multilayer financial networks · Dr. Paul Bilokon, The Thalesians, Toby Weston, Imperial College Optimal Execution using Reinforcement Learning · Prof. Dr. Igor Halperin, Fidelity Investments,
Inverse Reinforcement Learning: applications in Finance · Prof. Dr. Petter Kolm, New York University, Courant Institute Hedging an Options Book with Reinforcement Learning · Dr. Kay Pilz, Kinetic Minds Machine Learning for Data Generation and Hedging in Finance
· Jens Frühling, Accenture Bot and claims handling automation + automated damage assessment with AI · Prof. Dr. Helmut Hauser, University of Bristol · Evelyn Menzel, Mindfire AG On the quest for human level AI through virtual reality · Prof. Dr. Thrishantha Nanayakkara, Imperial College · Dr. Liudmila Zavolokina, Ergon Informatik/Universität Zürich Blockchain for business

Prof. Dr. Christoph Heitz, ZHAW; Francis Gross, European Central Bank; Angus Moir, Bank of England; Prof. Tim Weingärtner, HSLU; Dr. Michael Stuart, Université de Genève

Detailed schedule and more information<www.zhaw.ch/en/engineering/institutes-centres/iamp/events/artificial-intelligence-in-industry-and-finance/>

Looking forward to seeing you all online!

Best regards

Jörg Osterrieder on behalf of the entire organization committee

PS: Please also kindly sign-up for our meet-up group: https://www.meetup.com/Fintech_AI_in_Finance
************************************* ZHAW School of Engineering Jörg Osterrieder, Prof. Dr., MSc Professor of Finance Technikumstrasse 9 CH-8401 Winterthur
Tel. direct: +41 58 934 45 94 joerg.osterrieder@zhaw.ch<mailto:joerg.osterrieder@zhaw.ch>
www.linkedin.com/company/fintech-ho2020-eu/ 5th European COST Conference on AI in Finance and Industry, September 5, 2019<www.zhaw.ch/en/engineering/institutes-centres/iamp/events/artificial-intelligence-in-industry-and-finance/>

DaSSWeb, Data Science and Statistics Webinar ‘GOOGLE TRENDS: A NEW DATA SOURCE FOR RESEARCH ON ECONOMICS?’ EDUARDO COSTA Economics Ph.D. student at FEP doctoral programme July, 14, 2020, 14:30
Join us here<videoconf-colibri.zoom.us/j/95182035541>.
Abstract: The “big data” advent raised interest in using new sources of data to improve, describe, and track economic activities. As a relatively new source of data, the Google Trends (GT), launched
by Google in 2006, is a tool that provides updated reports on the relative demand for keywords, search-terms or search-categories via an index that represents the proportion of all searches
on Google from 2004 onwards for a particular search-term, given a geographical area and period. This sort of data, which is still under scrutiny, allows cost reduction, has a higher-frequency,
and realtime availability compared to traditional surveys.
Scientific research that uses GT data focusing on economic indicators is still embryonic; however, the literature points to promising results when predicting economic indicators such as GDP,
unemployment, private consumption, and price index. This talk aims at presenting how to obtain data from Google Trends, the mechanisms and economic indicators most used by the scientific
community when incorporating the GT data, and the preliminary findings on modeling the unemployment for Portugal.

Short Bio: Eduardo Costa is an Economics Ph.D. student at the FEP doctoral programme, holds an undergraduate degree in Statistics and a master in Production Engineering. His experience includes over
18 years of working for financial, insurance, energy and publishing companies focused on data mining, analysis, predictive models and consumer segmentation.

DaSSWeb – Data Science and Statistics Webinar
Date: June, 30, 2020, 14h30m
Speaker: Pedro Campos
Title: “New avenues of Data Science in Official Statistics”
Abstract: As a consequence of the COVID-19 outbreak, face-to-face (CAPI and PAPI) data collection methods have been replaced by remote collection methods, such as telephone and web surveys. Administrative data sources, on the other hand, are important resources that National Statistical Offices need to make wider and better use in order to reduce respondent burden, costs, and improve the quality and efficiency across the entire statistical production system. Furthermore, the development of big data and its potential as a third source of data for official statistics poses a range of opportunities, challenges and risks. Eurostat recently identified smart statistics as the future role of official statistics in a world impregnated with smart technologies. Trusted Smart Statistics are, therefore, the natural evolution of official statistics in the new datafied world. In this seminar, we will explore these (and other) new avenues of official statistics, focusing on how data science copes with these new challenges. Special focus will be given to ethical issues, privacy preserving, coverage and selectivity, small area estimation, geospatial information and machine learning models.
Short Bio: Pedro Campos is currently Director of Methodology in Statistics Portugal and Assistant Professor at the Faculty of Economics, University of Porto, where he got his Phd in Business Studies. He is also researcher at INESC TEC, where he leads the line of Agent-Based Modelling at LIAAD (Laboratory of Artificial Intelligence and Decision Support). Pedro is Vice-President of IASE (the International Association for Statistical Education) and Deputy Director of the International Statistical Literacy Project of the ISI.
ZOOM link :
videoconf-colibri.zoom.us/j/98961206889

Boa tarde,
Poderiam fazer o favor de divulgar o anúncio abaixo junto dos sócios da APPIA ?
Desde já muito obrigada !
Melhores cumprimentos,
Paula Brito
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2º seminário do ciclo DaSSWeb – Data Science and Statistics Webinar
Dia 16 de Junho, 14:30h
Oradora: Raquel Menezes, Universidade do Minho Título: CoronaSurveys – Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics
Link disponível em <sigarra.up.pt/fep/pt/noticias_geral.ver_noticia?p_nr=32969>
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Paula Brito Tel. (direct): (+351) 220426473 Faculdade de Economia Tel. (central FEP): (+351) 2205571100 Universidade do Porto Tel. (internal line): 4573 Rua Dr. Roberto Frias Fax: (+351) 225505050 4200-464 Porto e-mail: mpbrito@fep.up.pt<mailto:mpbrito@fep.up.pt> PORTUGAL www.fep.up.pt/docentes/mpbrito<www.fep.up.pt/docentes/mpbrito>

Boa tarde,
Poderiam fazer o favor de divulgar o anúncio abaixo junto dos sócios da APPIA ?
Desde já muito obrigada !
Melhores cumprimentos,
Paula Brito
+++++++++++++++++++++++++++++++++++++++
A FEP-UP inicia um Ciclo de Seminários em Estatística e Data Science, em versão Webinar.
O ciclo, designado DaSSWeb – Data Science and Statistics Webinar – terá periodicidade quinzenal, às 3as feiras, via Zoom.
O primeiro seminário será apresentado pelo João Gama, dia 2 de Junho, pelas 11:30, com título “DATA SCIENCES FOR THE XXI CENTURY” Link disponível em : DaSSWeb_2Jun2020<sigarra.up.pt/fep/pt/noticias_geral.ver_noticia?p_nr=32889>
Todos estão convidados a participar !

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Paula Brito Tel. (direct): (+351) 220426473 Faculdade de Economia Tel. (central FEP): (+351) 2205571100 Universidade do Porto Tel. (internal line): 4573 Rua Dr. Roberto Frias Fax: (+351) 225505050 4200-464 Porto e-mail: mpbrito@fep.up.pt<mailto:mpbrito@fep.up.pt> PORTUGAL www.fep.up.pt/docentes/mpbrito<www.fep.up.pt/docentes/mpbrito>