BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Memento EPFL// BEGIN:VEVENT SUMMARY:Inaugural Lectures: Prof. Negar Kiyavash & Prof. Andreas Fuster DTSTART:20220601T173000 DTSTAMP:20260501T235456Z UID:41b959ab522eb159635823480098d639ad178cb2ae90bb880b29db07 CATEGORIES:Inaugural lectures - Honorary Lecture DESCRIPTION:Prof. Negar Kiyavash & Prof. Andreas Fuster\nProgram\n17h30: G eneral introduction by Prof. Dominique Foray\, Director of the College of Management of Technology & Prof. Ambrogio Fasoli\, Vice President Associat e for Research\n\n17h45: Introduction by Prof. Daniel Kuhn\, Director of t he Section of Management of Technology & Entrepreneurship\n17h50: Inaugura l Lecture Prof. Negar Kiyavash\n\n18h40: Introduction by Prof. Damir Filip ovic\, Director of the Swiss Finance Institute@EPFL\n18h45: Inaugural Lect ure Prof. Andreas Fuster\n\n19h30: Q&A\n19h45: Apéritif\n\n************** **********************************************************\n\nNegar Kiyava sh's presentation:\n"Causal Inference in Complex Networks"\n\nAbstract: \n Causal determinism states that every event is necessitated by precedent ev ents  together with governing laws\, natural or otherwise. Causal determi nism is deeply ingrained with our ability to understand the physical scien ces and their explanatory ambitions. Besides understanding phenomena\, ide ntifying causal networks is important for effective policy design in nearl y any avenue of interest\, be it epidemiology\, financial regulation\, man agement of climate\, etc. Yet determining statistical causation among inte racting stochastic processes and variables remains quite challenging. This lecture will review recent advances in causal inference: How far have we come\, and where do we go from here?\n\n\nBio Negar Kiyavash\nProfessor Ne gar Kiyavash is an Associate Professor of Business Analytics in the Colleg e of Management of Technology. She is an internationally recognised inform ation theoretician. Her research focuses on data analysis\, data security\ , discrete optimisation and causal inference. She has received particular acclaim for introducing the principle of directed information graphs (DIGs )\, which characterise the concept of causality in time series. Negar Kiya vash undertakes tasks at the interface of social science\, business manage ment and data science. She contributes to EPFL’s research and teaching\, particularly in the field of business analytics – both on the theoretic al research as on the applications designated to enhance data-driven busin ess decision-taking.\n\n************************************************** **********************\n\nAndreas Fuster's presentation:\n"FinTech in Hous ehold Credit Markets"\n\nAbstract:\nTechnological innovation is changing t he way financial intermediation works. In particular\, lenders increasingl y rely on big data and machine learning algorithms\, rather than on human loan officers reviewing individual loan applications. This raises numerous questions: for instance\, are there efficiency gains from increased autom ation\, or does reducing the human element lead to worse lending decisions ? When statistical models improve\, are the gains shared equally across gr oups of society\, or do some benefit while others lose? And how does FinTe ch lending interact with fair lending regulations and privacy concerns? Th is lecture will review recent work on these questions\, with a focus on ho usehold credit markets.\n\nBio Andreas Fuster\nAndreas Fuster is an Associ ate Professor of Finance at Swiss Finance Institute @ EPFL and a Research Fellow at the CEPR. Previously\, he worked at the Federal Reserve Bank of New York and the Swiss National Bank. Andreas's main research interests ar e in empirical finance\, macroeconomics\, and behavioral economics. His re cent work has focused in particular on the effects of technological advanc es on household credit markets. Andreas’s research has been published in academic journals such as the Quarterly Journal of Economics\, the Review of Economic Studies\, the Journal of Finance\, and the Review of Financia l Studies. Andreas obtained his Ph.D. from Harvard University and also hol ds an M.Phil. from Oxford University and a B.A. from the University of Lau sanne (Switzerland)\, all in economics.\n\n\n\nFor organizational purposes \, please register LOCATION:ELA 1 https://plan.epfl.ch/?room==ELA%201 STATUS:CONFIRMED END:VEVENT END:VCALENDAR