BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260505T004635Z DTSTART:20251209T090000 DTEND:20251209T170000 SUMMARY:SUERF / Deutsche Bundesbank conference TRANSP:TRANSPARENT UID:2025_12_09_suerf_963716 DESCRIPTION:Motivation\n\nArtificial intelligence is at the centre of att ention in politics and among the general public. Its transformative pote ntial is altering companies\, markets\, and the functioning of our econo my. At the same time\, the associated risks should not be underestimated . Amidst these changes\, it is central banks which face the challenge of performing their central role as guardians of price stability even in t imes of technological and regulatory change. Rapid progress in the field of artificial intelligence is opening up entirely new possibilities for economic analysis and a new depth of economic insight. \n\nAgainst this backdrop\, the Deutsche Bundesbank and SUERF are pleased to co-host a c onference on “Artificial Intelligence and the Future of Central Banking” in Frankfurt am Main\, Germany on 9th December 2025. Bringing together experts from academia\, central banks\, and international organisations\ , the event will feature a keynote address\, three sessions on \nforecas ting and structural analysis with machine learning\nexploiting non-tradi tional data\nAI as a driver of macroeconomic dynamics\n\nand a high-leve l policy panel. This conference will provide a unique platform to explor e AI’s transformative impact on central banking and foster dialogue on i ts opportunities and challenges. \n\nYou are welcome to join the event i n person or virtually. Please register using the link below. We will sen d the event link shortly before the event.\n\nAgenda \n \n \n\nWel come address\n\n9:00 to 09:15 am\n \n\nJoachim Nagel\n\n \n\nJoachim N agel has been President of the Deutsche Bundesbank since January 2022. P rior to this\, he had already served in management positions at the Bund esbank between 1999 and 2016\, including as an Executive Board member fr om 2010 with responsibility for the Directorates General Markets\, Contr olling and IT.From 2016 to 2020\, he worked for the KfW Group\, includin g as an Executive Board member. In 2020\, he moved to the Bank for Inter national Settlements (BIS) where he became Deputy Head of the Banking De partment. Dr Nagel studied economics at the University of Karlsruhe and received a doctoral degree in 1997. He also serves as a member of the Go verning Council of the ECB\, a Governor at the IMF and a member of the B IS Board of Directors.\n\n \n \n \n\nKeynote lecture\nA Brief Hist ory of the Future: Data\, Text and AI for Smarter Policies\n\n9:15 to 10 :00 am\n \n\nAlvaro Ortiz\n\n \n\nHead of Big Data & AI Economic Analy sis · BBVA Research\n\nMember of the Conference on Research in Income an d Wealth (CRIW) at the NBER\, and co-founder of the Financial Transactio ns "Big Data" Global Research Network.\n\nHis research focuses on empiri cal macroeconomics\, monetary and fiscal policy\, and applied geopolitic s\, leveraging Big Data and AI methodologies. His work has been presente d at leading internation-al forums\, including the NBER Summer Institute \, CEPRESSIM\, Paris School of Economics Macro Days\, SED meetings\, and central bank conferences hosted by the Federal Reserve Board\, Europe-a n Central Bank\, Bank of England\, Bank of Spain\, and the Central Bank of Swe-den.\n\nHe holds a Ph.D. in Economics from Universidad Autónoma d e Madrid and an Advanced Diploma in International Economics and Policy R esearch from the Kiel Insti-tute for the World Economy (Kiel IfW).\n \n \n\nSession 1: Forecasting and structural analysis with ML\nModera tor Natascha Hinterlang · Deutsche Bundesbank \n\n10:00 to 11:15 am\n \ n\nForecasting Public Debt in the Euro Area Using Machine Learning: Deci sion Tools for Financial Markets \n \n\nAmélie Barbier-Gauchard\n\n \n \nAmélie Barbier-Gauchard is Full Professor of Macroeconomics at the Fac ulty of Economics and Management\, University of Strasbourg (France). He r field of interest are macroeconomics\, fiscal policy\, government perf ormance\, fiscal rules\, public finance and European integration. She he ld various advisory positions for the French Prime Minister Services in Paris\, the European Commission\, the European Parliament\, and the EU C ommittee of the Regions.\n \n\nEmmanouil Sofianos\n\n \n\nEmmanouil So fianos is a postdoctoral researcher at BETA\, University of Strasbourg. His work bridges macroeconomics\, forecasting\, and machine learning\, w ith a focus on euro area dynamics and the integration of political and i nstitutional factors into predictive models. He applies interpretable AI techniques to support economic policy and improve forecasting. His rese arch has been published in leading journals and presented at internation al conferences\, and he collaborates on projects linking data science wi th policy design\, under the ITI MAKErS initiative.\n \n\nDual Interpre tation of Machine Learning Forecasts\n \n\nKarin Klieber\nCo-author(s): Philippe Goulet Coulombe\, Maximilian Goebel\n\n \n\nKarin Klieber is Economist in the Prices & Costs Division at the European Central Bank\, on leave from the Austrian National Bank (Oesterreichische Nationalbank\ , OeNB). She is specializing in the intersection of applied econometrics and central banking\, bridging the gap between academic research and po licy needs. Her research focuses on inflation developments\, monetary po licy\, and machine learning in applied econometrics. She holds a PhD fro m the University of Salzburg. \n \n\nScenario analysis with multivariat e Bayesian machine learning models\n \n\nAnna Stelzer\nCo-author(s): Mi chael Pfarrhofer\n\n Anna Stelzer is an economist specializing in monet ary economics\, central bank policies\, Bayesian econometrics\, and mult ivariate time series. She holds a PhD in Economics from the University o f Salzburg. Her research interests include heterogeneous effects of mone tary policy\, econometric methods for policy purposes and nonlinear time -series models. She currently works as an economist at the Monetary Poli cy Section of the Oesterreichische Nationalbank (OeNB) and has previousl y held positions at the European Central Bank as well as the University of Salzburg and WU Wien.\n \n \n\nCoffee Break\n\n11:15 to 11:45 am\n \n \n\nSession 2: Going beyond numbers – exploiting nontraditiona l data \nModerator: Dimitrios Kanelis · Deutsche Bundesbank\n\n11:45 am to 1:00 pm\n \n\nUncovering Disagreement in Central Bank Communication: Social Media and Monetary Policy Surprises\n \n \n\nDavide Romelli\nCo -author(s): Donato Masciandaro\, Conor Parle\, and Matteo Pograxha\n\n Davide Romelli is an Associate Professor in the Department of Economics at Trinity College Dublin. He is a Research Affiliate at International M acro-TCD (IM-TCD) and SUERF – The European Money and Finance Forum\, a R esearch Fellow at the BAFFI-CAREFIN Centre at Bocconi University\, a Res earch Associate at the Centre for Economics\, Policy and History\, and a Chercheur affilié at OFCE–Sciences Po. He also serves as an Associate E ditor for the European Journal of Political Economy\, the International Journal of Finance & Economics and International Economics and Economic Policy. \n \n\nDisagreement about Fiscal Policy\n \n\nPeter Tillmann\n Co-author(s): Peter Winker\, Albina Latifi\, Viktoriia Naboka-Krell\n\n \n\nPeter Tillmann is Professor of Monetary Economics at the University of Giessen\, Germany. His research interests are monetary policy and em pirical macroeconomics. He is also Research Professor at the IWH Halle I nstitute for Economic Research and a frequent visitor to the Hong Kong I nstitute for Monetary and Financial Research. Previously\, he worked at the Swiss National Bank and the University of Bonn. He holds a PhD from the University of Cologne.\n \n\nSlow Tone: Detecting White Lie Disclos ures Using Response Latency\n \n\nDoron Reichmann\nCo-author(s): John C . Heater\n\n \n\nDoron Reichmann is a postdoctoral researcher in the Ac counting & Sustainability Department at Goethe University\, where he pre viously served as a W2 Interim Professor of Management and Control. He c ompleted his dissertation at Ruhr University Bochum and was a visiting s cholar at Duke University\, where he continued his work on nonverbal cue s in financial communication. His research has been discussed by leading international and national press\, including the Financial Times\, FAZ\ , Harvard Business Manager\, and WirtschaftsWoche.\n \n \n\nLunch\ n\n1:00 to 2:00 pm\n \n \n\nSession 3: AI as a driver of macroecon omic dynamics\nModerator: Elisabeth Falck · Deutsche Bundesbank\n\n2:00 to 3:15 pm\n \n\nThe Labor Market Effects of Generative Artificial Inte lligence\n \n\nJonathan Hartley\nCo-author(s): Filip Jolevski\, Vitor M elo\, Brendan Moore\n\n \n\nJonathan Hartley is an Economics PhD candid ate at Stanford University and a Policy Fellow at the Hoover Institution . He holds degrees from the University of Chicago (BA)\, Wharton (MBA) a nd Harvard Kennedy School (MPP).\n\nHis research spans finance\, labour and macroeconomics\, with recent work on the labour-market effects of ge nerative A. Previously he worked at Goldman Sachs Asset Management and h eld policy roles at the World Bank\, IMF\, the U.S. Joint Economic Commi ttee and Federal Reserve Banks.\n \n \n\nThe macroeconomic effects of A I innovation\n \n\nAndrea Giovanni Gazzani\nCo-author(s): Filippo Natol i\n\n \n\nSenior Economist\, Bank of Italy\, DG Economics & Research\, International Directorate\n\nPh.D. in Economics\, European University In stitute\n \n\nConcepts and Challenges of Measuring Production of Artifi cial Intelligence in the U.S. Economy\n \n\nTina Highfill\nCo-author(s) : David Wasshausen\, Gregory Prunchak\n\n Tina Highfill is a senior res earch economist at the Bureau of Economic Analysis\, part of the US Depa rtment of Commerce. Tina leads research and development of prominent\, m ultifaceted economic analyses\, including several that originated from t he US Congress. Tina’s recent work includes developing new and improved macroeconomic statistics\, including GDP for the US digital economy\, en vironmental goods and services\, and artificial intelligence. Dr. Highfi ll holds a bachelor’s degree from Virginia Tech\, a master’s degree from The Johns Hopkins University\, and a PhD from Virginia Commonwealth Uni versity.\n \n \n\nCoffee break\n\n3:15 to 3:45 pm\n \n \n\nP olicy panel: Implications of AI for Central Banking\nModerator: Jens Ulb rich · Deutsche Bundesbank & SUERF Council\n\n3:45 to 4:55 pm\n \n\nPhi lipp Hartmann\n\n Dr. Philipp Hartmann is Deputy Director General of th e research department at the European Central Bank and a Fellow of CEPR. Previously\, he held positions at the London School of Economics\, Eras mus University Rotterdam and acted as Vice-President of SUERF. Mr Hartma nn published scholarly research on financial\, monetary and internationa l issues in numerous journal articles and several books. His policy work has been discussed in the ECOFIN Council\, the ECB Governing Council an d the Basel Committee on Banking Supervision. He is one of the main orga nisers of the ECB’s flagship Sintra Forum.\n \n\nLeonardo Gambacorta\n\ n \n\nLeonardo Gambacorta is the Head of the Emerging Markets unit at t he BIS. Prior to his current role\, he served as Head of Innovation and Digital Economy\, Research Adviser and Head of Monetary Policy in the Mo netary and Economic Department. His primary research interests include m onetary transmission mechanisms\, the effectiveness of macroprudential p olicies in curbing systemic risk\, and the effects of technological inno vation on financial intermediation. He is a research fellow of the Centr e for Economic Policy Research.\n \n\nFritzi Köhler-Geib\n\n \n\nFritz i Köhler-Geib is a Member of the Executive Board of the Deutsche Bundesb ank and is responsible for IT\,Data and Statistics\, Risk Control and th e Research Centre. Before this\, she was the Chief Economist and First V ice President of KfW Group. Previously she worked for over twenty years at the IMF and the World Bank in various positions and re-gions as well as at private sector financial institutions\, last as the World Banks Le ad Econ-omist and Programme Leader for Central America. She received her PhD in Economics from Ludwig Maximilian University Munich and Pompeu Fa bra University\, Spain.\n \n\nKatja Langenbucher\n(participates online) \n\n \n\nKatja is a law professor at Goethe-University\, affiliated pro fessor at SciencesPo\, Paris\, and visiting faculty at Fordham Law Schoo l\, NYC. She has held visiting positions at Sorbonne\; WU Vienna\; LSE\; Columbia\, Fordham and PennLaw School and will join NYU Law Global Facu lty in 2026. She holds supervisory position as BaFin and SciencesPo.\n\n Katja publishes on corporate and financial markets law with a focus on c rypto and artificial intelligence.\n \n\nMaximilien Kintz\n\n Maximili en Kintz studied engineering and computer science in Nantes (France) and Stuttgart. Since 2009\, he has been working at Fraunhofer IAO in Stuttg art\, where he has led the “Applied AI” team since 2020. His research fo cuses on the optimization and automation of business processes\, includi ng the analysis of complex text documents.\n \n\nFiliz Unsal\n\n Filiz Unsal is Deputy Director of the Policy and Research Branch in the Econo mics Depart-ment of the OECD\, which produces analysis on a wide range o f macroeconomic and structural policy issues and coordinates major flags hip publications such as the Economic Outlook and Going for Growth. Earl ier in her OECD career\, she was the Head of the Structural Policy and R esearch Division\, overseeing work on productivity\, investment\, artifi cial intelligence\, de-mographics\, and climate adaptation and modelling .\n\nPrior to joining the OECD\, she worked at the International Monetar y Fund\, where she led vari-ous key policy and research initiatives as w ell as country missions. She holds a Ph.D. in Eco-nomics and an MSc in E conomics and Finance from the University of York (UK). Her research\, fo cusing on macroeconomics and international trade and finance\, has been widely published and has informed policymaking across advanced and emerg ing economies.\n \n \n \n\nClosing remarks\n\n4:55 to 5:00 pm\n \ n\nJens Ulbrich \n\n Jens Ulbrich is the Head of the Economics Departme nt at the Deutsche Bundesbank in Frankfurt. Mr Ulbrich is a member of th e Monetary Policy Committee of the European System of Central Banks. Bef ore joining the Bundesbank he worked for Dresdner Bank\, the German Chan cellery and the German Council of Economic Experts. \n \n \n\nEnd of conference\n\n5:00 pm LOCATION:Deutsche Bundesbank\, Taunusanlage 5\, 60329 Frankfurt am Main\, Germany CONTACT: END:VEVENT END:VCALENDAR