George Athanasopoulos is Professor and Deputy Head at the Department of Econometrics and Business Statistics at Monash University, Australia. He received his PhD in Econometrics from Monash University in 2007. A large body of his research has a strong focus on forecasting with work published in journals such as: Journal of the American Statistical Association, Journal of Econometrics, Journal of Business and Economic Statistics, European Journal of Operations Research, Journal of Applied Econometrics, Journal of Computational and Graphical Statistics, Journal of Time Series Analysis, and of course the International Journal of Forecasting. His research has also focused on forecasting and modelling tourism demand and has also published in the Journal of Travel Research, Tourism Management and the Annals of Tourism Research. He is Associate Editor for the International Journal of Forecasting and on the Editorial board for the Journal of Travel Research. George has co-authored with Rob J. Hyndman, Forecasting: Principles and Practice a free online textbook which has practitioners, undergraduate and MBA students as its target audience. The book has reached over 25,000 page-views per day from close to 6,500 users from 225 countries. It is now available in Korean and Chinese.
Michael Gilliland is retired from SAS, where he served in product management and marketing for SAS forecasting software. Prior to this, he spent 19 years in forecasting, supply chain, and consulting positions in the food, consumer electronics, and apparel industries. He is currently Associate Editor of Foresight, and co-chaired the 2016 and 2019 Foresight Practitioner Conferences. Mike is author of The Business Forecasting Deal (2010), principal editor of Business Forecasting: Practical Problems and Solutions (2015) and Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning (2021), and editor of Forecasting with SAS®: Special Collection (2020). Mike holds a BA in Philosophy from Michigan State University, and Master’s degrees in Philosophy and Mathematical Sciences from Johns Hopkins University.
Fernando Cyrino is Professor and Head for Graduate Studies Program at the Industrial Engineering Department at Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil, which he joined in 2014. He holds a PhD in Electrical Engineering (Operations Research and Time Series) from the PUC-Rio in 2013. Fernando also serve as Director of the Brazilian Operational Research Society (SOBRAPO) and Associate Editor for the Production Journal. His research contributions cover the development of forecasting and statistical methods with general applications. His publications include articles in Energy Economics, European Journal of Operational Research, International Journal of Forecasting, Production and Operations Management, Business Strategy and the Environment, Renewable and Sustainable Energy Reviews, among others. He has accumulated industrial experience from working in a range of projects in forecasting and operations research, funding by the industry and governmental agencies.
Gloria González-Rivera is Professor of Economics at the University of California Riverside. She received her Ph.D. from the University of California San Diego where she wrote her dissertation under the supervision of 2003 Nobel Laureate Professor Robert F. Engle. Her research focuses on the development of econometric and forecasting methodology with applications to financial markets, volatility forecasting, risk management, and agricultural markets. Her research is published in top venues such as Journal of Econometrics, Journal of Business and Economic Statistics, Journal of Applied Econometrics, International Journal of Forecasting, the Handbook of Empirical Economics and Finance, among others. She is also the sole author of the textbook Forecasting for Economics and Business (Pearson/Addison-Wesley, 2012). Professor González-Rivera is a Fulbright Scholar, and she was awarded the UC-Riverside University Scholar distinction (2007-2011) for her research and teaching contributions as well as several teaching awards at UC-San Diego. She is Associate Editor for the International Journal of Forecasting. Her research has been funded by the National Science Foundation, the California Native Indian Gaming Association, the International Institute of Forecasters/SAS, and the Academic Senate of UC-Riverside. She is also a member of the Scientific, Technical, and Modelling Peer Review Advisory Group to the South Coast Air Quality Management District in Southern. California. She has been a consultant for the hedge fund industry, and the Government-sponsored Enterprise (Freddie Mac) in topics such as mortgage securitization, subordinated debt, and risk management. She served as the Chair of the Economics Department (2003-2008) of UC-Riverside.
Directors, At Large
Elaine Deschamps is Executive Director of the Washington State Caseload Forecast Council, an independent state agency responsible for producing entitlement forecasts that provide the foundation for 80 percent of the Washington State budget. These forecasts include health care, public education, the criminal justice system, human services, and public assistance programs. Elaine has spent 25 years in public service, previously as Senior Fiscal Analyst for the Washington State Senate Ways and Means Committee, in charge of the low-income health care and public health budgets. She received double majors in political science and economics from the University of Puget Sound, and her MA and PhD in political science from Indiana University. Elaine has published articles in the International Journal of Forecasting and Foresight: The International Journal of Applied Forecasting. Her interests involve organizational dynamics of forecasting, health care and budget forecasting, judgmental adjustments, and collaborative forecasting. She has served on the Editorial Board of Foresight and has consulted in both the public and private sector, in arenas ranging from low-income health care to supply chain forecasting.
Laurent Ferrara is full Professor of International Economics at SKEMA Business School since September 2019. He was previously head of the International Macroeconomics Division at the Banque de France in Paris, in charge of the outlook and macroeconomic forecasting for the global economy. He is also giving lectures at the Paris School of Economics and the University of Paris Nanterre where he is associated researcher at EconomiX, a CNRS research unit. He is also research associate at the Centre for Applied Macro Analysis of the Australian National University. Laurent Ferrara holds a position of economic consultant for QuantCube Technology, a start-up involved in big data and macroeconomic forecasting.
Laurent Ferrara has been elected in May 2022 at the Board of Directors of the International Institute of Forecasters, an international association aiming at bridging the gap between theory and applications in forecasting, where he is heading the Macro Forecasting section. He is also member of the Board of Directors of the French Economic Association (AFSE) where he is chairing the French business cycle dating committee. Laurent Ferrara is an associate editor of two leading academic journals: the International Journal of Forecasting and International Economics.
Pr. Ferrara holds a PhD in Applied Mathematics from the University of Paris North (2001) and a Research Habilitation in Economics from the University of Paris 1 – Panthéon – Sorbonne (2007). His academic research mainly focuses on international economics, international finance, macroeconomic forecasting, non-linear econometric modelling and business cycle analysis. He published more than 50 papers in international and national academic journals, chapters in books, as well as 3 books on international macroeconomics, financial forecasting and time series modelling.
Chris Fry is a Senior Staff Data Scientist at Google, where he leads data science efforts dedicated to driving efficient utilization of Google’s datacenter infrastructure. He has worked in the field of forecasting for over 25 years, and has developed forecasts and built forecasting systems for companies across a wide range of industries including energy, pharmaceuticals, travel, apparel, grocery retail, advertising, and computer systems. Chris served as an advisor on the M5 forecasting competition, contributing to the design of the competition, and helping to bring the competition onto Kaggle. He has a B.S. degree in Operations Research and Industrial Engineering from Cornell University, and an M.S. degree in Management Science and Engineering from Stanford.
Tao Hong is Associate Professor of Systems Engineering and Engineering Management at the University of North Carolina at Charlotte, where he directs the Big Data Energy Analytics Laboratory (BigDEAL). He is the Founding Chair of IEEE Working Group on Energy Forecasting, General Chair of the Global Energy Forecasting Competition. He is an Editor of IEEE Transactions on Smart Grid and Associate Editor of the International Journal of Forecasting. Since 2008, he has been providing training and consulting services to hundreds of organizations in the energy industry.
Tim Januschowski is a Machine Learning Science Manager in Amazon’s AWS AI Labs. He has worked on forecasting since starting his professional career at SAP. At Amazon, he has produced end-to-end solutions for a wide variety of forecasting problems, from demand forecasting to server capacity forecasting. Tim’s personal interests in forecasting span applications, system, algorithm and modeling aspects and the downstream mathematical programming problems. He studied Mathematics at TU Berlin, IMPA, Rio de Janeiro, and Zuse-Institute Berlin and holds a PhD from University College Cork.
Anastasios Panagiotelis is an Associate Professor of Business Analytics at the University of Sydney. He conducts research on the development of novel statistical methodology for the modeling and forecasting of large scale datasets in energy, macroeconomics and online retail. He led the Australian Research Council Discovery Project “Macroeconomic Forecasting in a Big Data World” and has published in a diverse range of top-tier journals including the Journal of the American Statistical Society, Journal of Econometrics, European Journal of Operational Research, Journal of Business and Economic Statistics and International Journal of Forecasting. Anastasios received his PhD from the University of Sydney. He was previously a member of faculty at the Department of Econometrics and Business Statistics at Monash University and an Alexander von Humboldt Postdoctoral Researcher at the Chair of Mathematical Statistics at the Technical University of Munich.
Pierre Pinson is a Professor at the Technical University of Denmark, heading a group focusing on Energy Analytics & Markets. He received his M.Sc. In Applied Mathematics from INSA Toulouse, France, and a Ph.D. from Ecole des Mines de Paris, France. His main research interests are centered around the proposal and application of forecasting and decision-making approaches in the energy sector, also to support the transition towards energy systems dominated by renewable energy sources. This translates to a strong focus on probabilistic forecasting, forecast verification, high-dimensional modelling, online learning, distributed learning, stochastic optimization and game theory. He has published extensively in high-profile scientific journals in various disciplines, e.g., the Quarterly Journal of the Royal Meteorological Society, Monthly Weather Review (Meteorology and Atmospheric Sciences); Statistical Science, Statistics and Computing, Journal of the Royal Statistical Society C, European Journal of Operational Research (Statistics and Operations Research), various IEEE Transactions, Energy Economics (Energy applications), Nature, Scientific data (Open Data), and obviously the International Journal of Forecasting. He has held visiting positions at the University of Oxford (Mathematical Institute), the University of Washington (Department of Statistics), the European Centre for Medium-range Weather Forecasts (ECMWF), the Ecole Normale Supérieure (Rennes, France). In 2019, he was a Simons fellow at the Isaac Newton Institute for Mathematical Sciences (Cambridge).
Pilar Poncela is Professor of Econometrics and director of the master’s program in Quantitative Economic Analysis at Universidad Autonoma de Madrid, Spain. She has an Electrical Engineering Degree from Universidad de Valladolid, Spain, and received her PhD in Economics from Universidad Carlos III de Madrid. Her research interests are focused on forecasting, mainly macro forecasting and the combination of forecasts, although dynamic factor models and applied macroeconomics are also in her research agenda. She has collaborated with European institutions and has held positions at the Bank of Spain (fellowship) and the European Commission, Joint Research Centre, Ispra, Italy (senior researcher). She has published her research in journals such as International Journal of Forecasting, Journal of Business and Economic Statistics, Journal of Econometrics, Journal of Applied Econometrics, Applied Energy and Advances in Data Analysis and Classification, among others. She is a Fellow of the UC3M-Santander Big Data Institute. She was visiting scholar at The University of Chicago’s Graduate School of Business (1998). She has also enjoyed several research sojourns at ITAM (México), National University of Colombia and Cass Business School (UK), among others. Her research has been funded by the Spanish Ministry of Education, the Spanish Ministry of Science and Technology, the Spanish Ministry of Economy and Competitiveness and the Madrid Research Council. She has supervised several PhD students working on forecasting. She has been consultant for Lease Plan, BBVA, Credito & Caucion Insurance Company and the National Traffic Department.
Founding (and current) Editor, Foresight: The International Journal of Applied Forecasting (2005 to date). On the IIF Board of Directors, (since 2002), Director, Center for Business Forecasting (since 1997), Professor Emeritus, School of Business Administration, University of Vermont (since 2001). Faculty of BSAD 1971-2001, Software Editor, The Oracle of the IIF (1990s). Author of many articles on business forecasting. Major topics: Measurement of forecast accuracy, Automatic forecasting methods, Confidence intervals for regression forecasts and Forecasting software.
The founding director and the chief economist of the Center for Forecasting Science of the Chinese Academy of Sciences and the Changjiang distinguished professor and dean of School of Economics and Management of the University of Chinese Academy of Sciences. He received his PhD degree in Operations Research from the Institute of Systems Science of Chinese Academy of Sciences in 1986. His is currently a fellow of The World Academy of Sciences, an academician of International Academy of Systems and Cybernetics Sciences.
He has published 36 monographs in the fields of economics, finance, forecasting science and cybernetics, including 20 published by Springer and Taylor & Francis, and over 350 papers in leading journals, including International Journal of Forecasting, Journal of Economic Theory, Journal of Econometrics, Tourism Management, Nature, Nature Energy, Nature Communications, and IEEE Transactions on Cybernetics, and Journal of Forecasting. He is the editor-in-chief or an editorial board member of 12 journals including Energy Economics and International Journal of Energy and Statistics.
Doris Chenguang Wu
Doris Chenguang Wu is Professor from the Business School at Sun Yat-sen University, China. She obtained her PhD degree in tourism economics from School of Hotel and Tourism School at The Hong Kong Polytechnic University in 2010. Her research interests include tourism forecasting and tourism economics. She has published a number of academic articles related to tourism forecasting in top tier journals in tourism and hospitality, including Tourism Management, Annals of Tourism Research, Journal of Travel Research, International Journal of Hospitality Management, International Journal of Contemporary Hospitality Management and Journal of Hospitality and Tourism Research, and one article in International Journal of Forecasting. She is on the editorial board for Journal of Travel Research and Tourism Economics. She co-edited a special issue on “Tourism forecasting – New trends and issues” for Tourism Economics in 2019, and is co-editing a special issue on “Big data analytics and forecasting in tourism and hospitality” for International Journal of Contemporary Hospitality Management in 2020. In addition, She has been involved in a number of research grants and consultation projects in the areas of tourism forecasting and tourism economics funded by the governments in China.