The IIF Board of Directors honors distinguished forecasters with the title of IIF Fellow, based on their contributions to the field of forecasting, the International Journal of Forecasting and the Institute.

The Board invites IIF members to send nominations; review guidelines for complete details.

Stephan Kolassa (2023) is a Data Science Expert at SAP Switzerland AG and an Honorary Researcher at the Centre for Marketing Analytics and Forecasting at Lancaster University Management School. His core responsibilities at SAP are to develop, improve and communicate the statistical and algorithmic details of the forecasting kernel in SAP’s retail portfolio. Stephan’s research interests lie in retail and more general supply chain forecasting and in forecast quality measurement, as well as in more general inferential statistics and statistical modeling. He serves as a Deputy Editor for Foresight: The International Journal of Applied Forecasting, is highly active at the statistical Q&A site CrossValidated, and has recently coauthored a textbook, Demand Forecasting for Executives and Professionals, together with Bahman Rostami-Tabar and Enno Siemsen, which is freely available

Dilek Önkal (2023) is Professor of Business Information Systems and Analytics and Head of the Analytics Subject Group at the Newcastle Business School, Northumbria University. She received her B.A. (summa cum laude) from Boğaziçi University and her Ph.D. from the University of Minnesota. Dilek was an academic visitor at Oxford University Department of Economics (2006-2007) and an associate member of the Nuffield College (2006=2007, 2018). She was a visiting Professor at University of Bath (2009-2018) and an Honorary Research Fellow at UCL (2015-2022). Dilek previously held positions of Associate Dean of Research and Knowledge Transfer and Professor of Decision and Organisational Science at the Faculty of Management & Law at University of Bradford, Dean of the Faculty of Economics, Administrative and Social Sciences at Bilkent University and Chair of Supply Chain Management and Director of OASIS (Operations and Supply Chain Systems) Research Centre at Brunel Business School, Brunel University.

She was a Director of the IIF (2006-2014), Editor of IJF (2015-2019), and Associate Editor of IJF (2002-2015). Dilek attended her first ISF in 1987 as a PhD student and was in the Organizing Committee for the 16th ISF in Istanbul (1996). She currently serves on Editorial Boards of Futures and Foresight Science and Forecasting. Dilek is also an Associate Editor of the IMA Journal of Management Mathematics, a Review Editor of Frontiers in Psychology – Cognition, and a member of the Committee of Professors in Operational Research (COPIOR). Her research focuses on the role of judgment in forecasting and strengthening the synergies with scenarios and decision making. Among her various awards for teaching and research, her Foresight Hall of Fame Award in 2021 (for Why Should I Trust Your Forecasts? – a paper co-authored with Sinan Gonul and Paul Goodwin) has a special place.

John Boylan (2022) was Professor of Business Analytics at Lancaster University and a former Head of its Department of Management Science. He has PhD and MSc degrees from Warwick University. He is an Editor-in-Chief of the Journal of the Operational Research Society and was Foresight’s Supply Chain Forecasting Editor from 2005 to 2013. His main research interests have been concerned with the interface between forecasting and inventory management. In 2021, he published a book with Aris Syntetos, on the subject for which he is best known, namely Intermittent Demand Forecasting. Some of his research has been implemented in open-source and commercial software, in use by major companies across the world. He has previously served as a Director of the Institute and was General Chair of the 42nd International Symposium on Forecasting, held in Oxford in 2022. {1959-2023}

Rob Hyndman (2021) Rob J Hyndman FAA FASSA is Professor of Statistics and Head of the Department of Econometrics and Business Statistics at Monash University. From 2005 to 2018 he was Editor-in-Chief of the International Journal of Forecasting and a Director of the International Institute of Forecasters. Rob is the author of over 200 research papers and 5 books in statistical science. Rob is coauthor (with George Athanasopoulos) of the popular forecasting textbook Forecasting: Principles and Practice, and is the primary author of the widely-used forecast package for R. He is an elected Fellow of both the Australian Academy of Science and the Academy of Social Sciences in Australia. In 2007, he received the Moran medal from the Australian Academy of Science for his contributions to statistical research, especially in the area of statistical forecasting. For over 30 years, Rob has maintained an active consulting practice, assisting hundreds of companies and organizations around the world. He has won awards for his research, teaching, consulting and graduate supervision.

Esther Ruiz (2020) is Full Professor of Econometrics at the Statistics Department of Universidad Carlos III de Madrid. She received a Master in Statistics (1987) and a Ph.D. in Econometrics (1992) both from the London School of Economics. She is co-Editor of the International Journal of Forecasting since 2009 and was interim Editor in Chief from January to September 2019. She has also served as Associate Editor of Computational Statistics & Data Analysis and Latin American Economic Review. She has been member of the IIF Board of Directors from 2009 to 2017 being in charge of the workshops, and organizing three of them. She has also been chair of the programme committee of the International Symposium of Forecasting in 2015 and member of the organizing committee (2006) and of the programme committee (2016). Her research interests are forecasting in macroeconomics and finance. Her work in time series analysis and forecasting encompasses extracting factors in dynamic factor models, using resampling techniques to measure uncertainty and models of stochastic volatility and large covariance matrices. She has published over 45 academic papers, some of them being path breaking and reproduced in specialized monographies.

Antonio Garcia-Ferrer (2018) is Professor of Econometrics in the Departamento de Análisis Económico: Economía Cuantitativa at the Universidad Autónoma de Madrid, where he has been since 1980. He received a B.A. in economics from the UAM in 1973 and Ph.D. from the University of California, Berkeley in 1977. Assistant Professor at the Universidad de Alcalá de Henares (1978-1980) and Fulbright Visiting Professor at the Booth GSB of the University of Chicago in 1984-85. He was also Director of the Master Program on Public Finance of the Institute of Fiscal Studies in Madrid (1989-1993). He is Associate Editor of the International Journal of Forecasting since 1994 and Member of the Board (2001-2016) and President (2008-2012) of the International Institute of Forecasters. He was also the chairman of the 2006 and 2016 ISFs in Santander. His research interests include modeling and forecasting seasonal time series, turning point predictions and leading indicators. In these areas, he has published several books and more than 80 papers in international journals. He has served in boards of several international companies and in collaboration with other Spanish colleagues he has developed the UAM-UCM forecasting system of Spanish Economic Indicators.

James H. Stock (2017) is the Harold Hitchings Burbank Professor of Political Economy, Faculty of Arts and Sciences and member of the faculty at the Harvard Kennedy School. He received a M.S. in statistics and a Ph.D. in economics from the University of California, Berkeley. His research areas are empirical macroeconomics, energy and environmental policy, monetary policy, and econometric methods. His work in time series analysis and forecasting encompasses univariate and multivariate models of persistent series, dynamic factor models and other high-dimensional systems, and inference when there is identification is weak. His empirical work includes applications to forecasting and modeling inflation and to climate change. He is Co-Editor of the Brookings Papers on Economic Activity and is a coauthor with Mark Watson of a leading introductory econometrics textbook and is a member of various professional boards, including the NBER Business Cycle Dating Committee. He previously served as Chair of the Harvard Economics Department from 2007-2009, as Co-Editor of Econometrica from 2009-2012, and as Member of President Obama’s Council of Economic Advisers from 2013-2014.

Mark Watson (2017) is the Howard Harrison and Gabrielle Snyder Beck Professor of Economics and Public Affairs at Princeton University and a research associate at the National Bureau of Economic Research. He is a fellow of the American Academy of Arts and Sciences and of the Econometric Society. His research focuses on time-series econometrics, empirical macroeconomics, and macroeconomic forecasting. He has published articles in these areas and is the author (with James Stock) of Introduction to Econometrics, a leading undergraduate textbook. Watson has served on the editorial board of several journals including the American Economic Review, Journal of Applied Econometrics, Econometrica, the Journal of Business and Economic Statistics, the Journal of Monetary Economics and the Review of Economics and Statistics. Before coming to Princeton in 1995, Watson served on the economics faculty at Harvard and Northwestern. Watson did his undergraduate work at Pierce Junior College and California State University at Northridge, and completed his Ph.D. at the University of California at San Diego. 

Ralph Snyder (2016) is an adjunct associate professor in the Monash Business School, Monash University, Clayton, Australia. He has a Master of Economics degree from Monash University and a Ph.D. in operations research from The University of Birmingham, England. He has been a member of the International Institute of Forecasters since 1991, a director from 2007 to 2011, and the treasurer from 2007 to 2009. He was program co-chair for the Sydney ISF in 2004. Ralph has been actively engaged in forecasting research for more than 30 years and is credited with proposing the linear innovations state space model as a convenient and transparent stochastic framework for linear versions of exponential smoothing. Later the framework was extended with co-authors Keith Ord and Anne Koehler to encompass all possible nonlinear versions of exponential smoothing. Collaboration with Rob Hyndman and others led to the development of the ETS forecasting system and its widely used implementation in the programming language R. A co-authored book Forecasting with Exponential Smoothing: The State Space Approach(Springer, 2008) summarises these and other developments.

Philip Hans Franses (2015) is Professor of Applied Econometrics and Professor of Marketing Research, both at the Erasmus University Rotterdam. As Adjunct Professor he is affiliated with the University of Western Australia, Chiang Mai University in Thailand and the Anton De Kom University in Suriname. He is an elected Fellow of the International Statistical Institute, the Journal of Econometrics and of the Royal Netherlands Academy of Arts and Sciences. In 2012 he received an Honorary Doctorate of the Chiang Mai University. His research interests concern the development and application of econometric methods for relevant, meaningful and interesting problems in marketing, finance and macro-economics. He has published textbooks with Oxford UP and Cambridge UP, some of which were translated into Chinese and Italian. He has published more than 250 articles in international journals, and his work regularly appears in the Journal of Applied Econometrics, Journal of Marketing Research and International Journal of Forecasting. He regularly serves in boards of advisory committees and he consults a range of companies and institutions including multinationals and charities.

Michael Clements (2014) is Professor of Econometrics at the ICMA Centre, Henley Business School, University of Reading and an Associate member of the Institute for New Economic Thinking at the Oxford Martin School, University of Oxford. He obtained a DPhil in Econometrics from Nuffield College, University of Oxford in 1993, moved to Warwick University Economics Department as a Research Fellow in 1995, and became a full professor in 2007. He moved to Reading in 2013. His interests are in the areas of time-series econometrics and forecasting, and he has published widely in academic journals on forecast evaluation, mixed-frequency data modelling, non-linear modelling and business cycle analysis, real-time modelling and forecasting, factor model forecasting, and the analysis of survey expectations. He became a Journal of Applied Econometrics Distinguished Author in 2008. He served as an editor of the IJF between 2001 and 2012, and since standing down from this role has served as an associate editor.

Timo Teräsvirta (2014) holds a DPolSc (Econometrics) from University of Helsinki. He is currently Professor of Economics, Aarhus University, and member of CREATES, an institute for research in time series econometrics at the same university. He is also Adjoint Professor at the Queensland University of Technology, Brisbane. He is an elected member of the International Statistical Institute (since 1978), Societas Scientiarum Fennica, Helsinki (since 1978), and the Royal Swedish Academy of Sciences, Stockholm (since 2001). He is Distinguished Author of Journal of Applied Econometrics, Fellow of Journal of Econometrics and Fellow of the Society for Financial Econometrics. Teräsvirta has co-authored two books on nonlinear time series econometrics and published a number of papers on forecasting and other topics in international journals. His research and teaching interests include nonlinear time series econometrics and volatility models and modelling.

Paul Goodwin (2013) is Professor of Management Science at the University of Bath. He has a PhD from Lancaster University and an MSc from the University of Warwick. His research  is concerned with the role of management judgment in forecasting and how this can be integrated with statistical forecasting methods. One of his papers, “Correct or Combine? Mechanically integrating judgmental forecasts with statistical methods”, won an Outstanding Paper award from the International Journal of Forecasting (IJF) for 2000-2001. His other publications include Forecasting with Judgment (Wiley), which he co-edited with George Wright in 1998. In 2004, with Robert Fildes, he won a large research grant from the UK government to investigate forecasting in supply chain companies and he has  advised a wide range of organizations, including government departments, on forecasting, besides  presenting several webinars to practitioners. Since joining the Institute in 1993 he has, at different times, taken on a number of roles, including  Editorship of  The Oracle, the Institute’s newsletter,  IJF Book Review Editor, and IJF Associate Editor, in addition to being a Director of the Institute from 2005 to 2009. Currently he is an Editor of IJF and the Editor of the “Hot New Research” column which appears in Foresight: the International Journal of Applied Forecasting.

P. Geoffrey Allen (2012) is Professor Emeritus of Resource Economics at the University of Massachusetts Amherst. He has a PhD in Agricultural Economics from the University of California at Davis. His early research work was in supply and demand modeling and valuing non-market goods, after which he embarked on his major interest of econometric forecasting. He attended his first ISF in 1982 and became a member of the IIF in 1985. His review article “Economic Forecasting in Agriculture” received the IJF’s best paper award for 1993-94. He was program chair for ISF97 in Barbados, Director of the IIF from 1998 to 2007, its secretary and treasurer from 1998 to 2005 and president from 2005-2007. He was general chair for ISF2010 in San Diego and ISF2012 in Boston. Nobody said to him “Join the IIF and see the world,” but that’s how it worked out.

Francis X. Diebold (2012)

Francis X. Diebold is Paul F. and Warren Shafer Miller Professor of Social Sciences, and Professor of Economics, Finance, and Statistics, University of Pennsylvania. He has held visiting appointments at Princeton, Chicago, Johns Hopkins, and NYU. His research interests focus on measurement and predictive modeling in financial asset markets and underlying macroeconomic fundamentals. He has made well-known contributions to the measurement and modeling of asset-return volatility, business conditions, yield curves, and network connectedness. He has published more than 150 scientific papers and 8 books, and he is regularly ranked among globally most-cited economists.

He is Founding Fellow and Past President, Society for Financial Econometrics; NBER Faculty Research Associate; Fellow, Econometric Society, American Statistical Association, Guggenheim Foundation, Sloan Foundation, Humboldt Foundation, Journal of Econometrics; Founding Fellow, International Association for Applied Econometrics, Society for Economic Measurement; Honorary Fellow, International Institute of Forecasters; and Past Editorial Board Member, EconometricaReview of Economics and Statistics, and International Economic Review.

Robert Fildes (2010) is Distinguished Professor of Management Science in the School of Management, Lancaster University and Director of the Lancaster Centre.Much of his professional career has been devoted to the Institute, both through good times and bad. In 1981 he was co-founder with Scott Armstrong and Spyros Makridakis of the Journal of Forecasting and in l985 of the International Journal of Forecasting. For ten years from l988 he was Editor-in-Chief of the IJF. During this period he was a director of the International Institute of Forecasters and president between 2000 and 2004. He regularly contributes to the Forecasting Symposia having only missed one conference and he was the Chair of the London Symposium in 1984. His current research interests are concerned with the comparative evaluation of different forecasting methods, the implementation of improved forecasting procedures in organizations and the design of forecasting systems.

is a Professor Emeritus of Stockholm University. He received his Ph.D. in Statistics from the University of Helsinki and has been working with both practical forecasting and forecast modelling at the Finnish Ministry of Finance and at the Swedish Institute of Economic Research, where he served as Director of Research. He has been teaching in many universities and has published numerous papers in learned journals, mostly on forecasting. For the last 17 years he has been an associate editor of IJF and was a director of IIF for many years, and its president 2006-2007.

Kajal Lahiri (2009) is Distinguished Professor of Economics and Health Policy Management at the University at Albany, SUNY, and an Elected Fellow of the International Association of Applied Econometrics (IAAE). He has published over one hundred forty articles, and a number of books including Introduction to Econometrics (with G.S. Maddala; Wiley, 4th ed.). A University of Rochester Ph.D. (1975), Professor Lahiri has been on the editorial boards of several journals including International Journal of Forecasting (since 1993) and Journal of Econometrics (since 1989), and was the Program Chair of the 27th International Forecasting Symposium held in New York City in 2007. Over the years, his research on many diverse areas has been supported by grants from the U.S. Social Security Administration, Department of Transportation, National Science Foundation., Ford Foundation, National Academy of Sciences, National Institutes of Health, International Monetary Fund, and World Bank.

Marcus O’Connor (2009) was formerly a Professor of Business Information Systems at the University of Sydney. Prior to that he was a Professor of Information Systems at the University of New South Wales. Hs research interests have primarily focused on the role of human judgement in forecasting and the way in which judgemental and statistical approaches can be integrated to produce better forecasts. He has previously served as a Director of the IIF. He has now retired to a life of surfing where his chief problem is to forecast the beaches that provide the best waves. Alas, his ability to ride those waves diminishes with each passing year.

Roy Batchelor (2008) is Professor of Banking and Finance at Cass Business School, City of London, where he teaches popular courses in business and financial forecasting, and in technical analysis, the dark art of forecasting from charts of share prices. After graduating from Glasgow University, Roy worked as a government economist, modeling and forecasting trade flows; then at the National Institute of Economic and Social Research, analyzing the UK economy and exchange rate policy; and at a leading firm of stockbrokers where he also tried to forecast the stock market. He has published widely in applied economics and finance, including studies of the rationality and behavioral biases of forecasters, the interpretation of business and consumer surveys, model combining, and the two-volume collection Financial Forecasting (2004), co-authored with Professor Pami Dua. He has been Associate Editor of the International Journal of Forecasting, and is currently an Editor of the practitioner journal Foresight.

Jan G. De Gooijer (2008) is Professor of Economic Statistics at the University of Amsterdam. He has published more than 80 papers in the area of forecasting, time series analysis, empirical finance, econometrics, and statistics. In the IIF he has served as Associate Editor of the IJF (1986-1991; 2009 – present), Editor of the IJF (1992-1997; 2005-2008), and Editor-in-Chief of the IJF (1998-2004). Jan has also served as an Associate Editor of the JoF (1982-1985), and for many years he was, as a Director, on the board of the IIF. He has been conference chairperson of the Eighth ISF in Amsterdam (1988). He is a co-author of two books on Economic Statistics. He is an elected member of The International Statistical Institute (ISI). He is an elected research fellow of the Tinbergen Institute (TI), and an elected research fellow of the Netherlands Network of Economics (NAKE).

Robert Engle (2008), the Michael Armellino Professor of Finance at New York University Stern School of Business, was awarded the 2003 Nobel Prize in Economics for his research on the concept of autoregressive conditional heteroskedasticity (ARCH). He developed this method for statistical modeling of time-varying volatility and demonstrated that these techniques accurately capture the properties of many time series. Professor Engle shared the prize with Clive W. J. Granger of the University of California at San Diego.

Professor Engle is an expert in time series analysis with a longstanding interest in the analysis of financial markets. His ARCH model and its generalizations have become indispensable tools not only for researchers, but also for analysts of financial markets, who use them in asset pricing and in evaluating portfolio risk. He has published more than 100 academic papers and authored four books.

Before joining NYU Stern in 2000, Professor Engle was Chancellor’s Associates Professor and Economics Department Chair at the University of California, San Diego, and as an associate professor at the Massachusetts Institute of Technology. He received his bachelor of science in physics from Williams College and his master of science in physics and doctor of philosophy in economics from Cornell University.

Peter C. Young (2007) for his association with the Institute and scientific contributions in the wider area, especially those concerning time series and forecasting. He is Emeritus Professor in the Department of Environmental Science, Lancaster University and Adjunct Professor in the Fenner School of Environment and Society, Australian National University, Canberra. He is well known for his pioneering work on recursive estimation and time series analysis. His forecasting research has involved numerous different areas of application, including hydrology, climate, macro-economics and business. His numerous publications include a monograph on recursive estimation and time series analysis, as well as the edited Concise Encyclopedia of Environmental Systems. He is Departmental Editor of the Journal of Forecasting; Consultant Editor, International Journal of Control; and Associate Editor, Environmental Modelling and Software.

Everette S. Gardner, Jr. (2007) is Professor of Decision and Information Sciences in the Bauer College of Business and a Fellow of the Honors College at the University of Houston. He received his Ph.D. in 1978 from the University of North Carolina at Chapel Hill. He served 20 years in the U.S. Navy and retired with the rank of Commander. He is a Vietnam veteran, served several tours of duty at sea, and held senior Navy positions in inventory management and operations research. Among his many publications are two seminal papers on the state of the art in exponential smoothing, published in the Journal of Forecasting (1985) and the International Journal of Forecasting (2006). The editorial board and fellows of the IJF ranked his 1985 paper as the third most influential paper published in forecasting during the last 25 years. He is also known for the development, with Eddie McKenzie, of the damped trend method of exponential smoothing, a method that has become a benchmark for forecast accuracy. He is a past president and member of the board of the IIF, and has served on the editorial boards of the JOF and IJF. {1944-2023}

Michael Lawrence (2006), Emeritus Professor of Information Systems at the University of New South Wales in Sydney Australia, has demonstrated leadership in research, teaching, and service to the scholarly forecasting community for over 30 years. He worked as a forecasting practitioner for Corning Glass and then for Ciba-Geigy before entering academe and has taught at the University of New South Wales for almost 30 years. Since 1982, Michael has been a leader in research related to the role of judgment in the forecasting process, one of the most prominent “advances” in forecasting research over the last couple of decades. In the IIF he has served as president (1996-1999), board member (1994-2000), chair of ISF 2004 in Sydney, and Editor of the IJF (2000-2005), following 12 years as associate editor.

Anne B. Koehler (2006) has taught forecasting for many years at Miami University of Ohio, a school that maintains an active undergraduate program in the decision sciences. She has also served as department chair. She has been a director of the IIF, an associate editor of IJF, and a co-chair for the Pittsburgh ISF. She has published extensively on forecasting issues, in IJF and elsewhere.

Wil Gorr (2005) is a professor at the H. John Heinz III School of Public Policy and Management, Carnegie Mellon University. He is a past editor of IJF, a former IIF board member, organizer of the Pittsburgh International Symposium on Forecasting, and guest editor for two special IJF issues on public-sector forecasting. His research has included a number of public-sector forecasting applications, including key contributions to forecasting space and time series data. In particular, he has received numerous grants from the U.S. National Institute of Justice and other grant-making institutions to develop the area of crime mapping and forecasting for deployment of municipal police.

Chris Chatfield (2003) Reader in Statistics in the Department of Mathematical Sciences, University of Bath. He has contributed regularly to both journals including a number of influential papers including the Future of Time-series Forecasting. His comments, on the various forecasting competitions, on loss functions and on neural networks have proved stimulating. His research contributions on exponential smoothing (in the IJF and elsewhere), on uncertainty and confidence intervals (in RSS and JBES) and on model comparisons (RSS with the airline data and on neural networks) have raised the profile of forecasting within the statistical community, bringing to their attention some results on model complexity which are commonplace in forecasting research but remain controversial in statistical research. His text books on time series analysis and forecasting are models of clarity for their chosen audience.

Keith Ord (2003) is Professor Emeritus in the McDonough School of Business at Georgetown University, Washington DC. He received his Ph. D. from London University in 1967, and his first scientific article was published the same year. He is a co-author of “Kendall and Stuart”, a two-volume work that has become a classic reference in statistics. His current research is focused primarily on state space forecasting models. He was an Associate Editor of IJF 1987-1995 and 2002-2014 and Editor 1995-2002. Keith served for many years on the board of IIF. Keith is a fellow of the American Statistical Association and of the Royal Statistical Society.

Hans Levenbach (2002) A long-standing contributor to the forecasting community. As an independent consultant he has always attempted to include the latest relevant academic concepts into his software. He joined the IIF Board around 1990 and for many years had the onerous responsibilities of being Treasurer. In the late 1990s he held the office of President of the IIF during which time considerable progress was made in developing an appropriate governance mechanism as well as establishing a firmer financial basis for the Institute.

Kenneth F. Wallis (2002) Professor Emeritus of Econometrics of the University of Warwick, UK. His primary research interests have been in macro-econometric modeling (especially comparative studies and policy analysis in national-economy and multi-country models) and in time series analysis (especially forecasting and seasonal adjustment). He was director of the ESRC Macroeconomic Modeling Bureau from 1983 to 1999.

Robert Goodrich (2001) President of Business Forecast Systems Inc., USA: For his sustained development of state of the art forecasting software that both reflects current research developments and has had a major impact on forecasting practice; for his effectiveness as a practitioner and consultant; for his service to the Institute. {1934-2017}

David Hendry (2001) Senior Research Fellow, Nuffield College, University of Oxford, England: For his outstanding research contributions, particularly in the development of a comprehensive framework for dynamic modeling in econometrics, and the evaluation of economic forecasts; for authoritative books on econometrics and time series; for his service to the International Journal of Forecasting as an associate editor.

Herman Stekler (2001) Research Professor of Economics at George Washington University, USA: For his innovative research on the evaluation of macroeconomic forecasts and developments in evaluation methods; for his contributions as a distinguished teacher of economics; for his contributions to the International Journal of Forecasting, both as book review editor and associate editor; for service to the Institute. {1932-2018}

Arnold Zellner (2001) H.G.B. Alexander Distinguished Service Professor Emeritus of Economics and Statistics at the University of Chicago, USA: For his outstanding research contributions, particularly in the areas of Bayesian econometrics, macroeconomic modeling and forecasting; for his contributions as a distinguished teacher and scholar in econometrics; for his several keynote addresses to the International Symposium on Forecasting. {1927-2010}

Stephen McNees (1999) formerly with the Federal Reserve Bank of Boston, USA: For his innovative contributions to the development and practice of macroeconomic forecasting; for his contributions to the Institute; for his service to the International Journal of Forecasting as an associate editor.

Muhittin Oral (1999) Professor Oral is currently at Ozyegin University in Istanbul since 2010. Previously, he had been with Université Laval in Québec City, Canada between 1972-1974 and 1978-1998, and with Sabancı Univerity in Istanbul, as the Founding Dean between 1999-2010. He got involved in the organizations of 7 ISF Symposia in different parts of the world. His research interests are: Reasoning Types in Forecasting, Philosophical Issues in Forecasting.

J. Scott Armstrong (1996) Professor of Marketing at the University of Pennsylvania, USA: For his work in establishing the Institute and serving as an editor of the Journal and on the Board of Directors; for his wide-ranging research contributions, particularly on the empirical evaluation of different approaches to forecasting; for innovative approaches to the teaching of forecasting. {1937-2023}

Clive Granger (1996) was an economist and Nobel laureate whose work revolutionized the way stocks and other fluctuating series of data are analyzed and forecast, died on May 27th 2009.  Throughout his career, Dr. Granger was known as one of the most prominent figures in the use of statistics to study the economy, a highly technical field known as econometrics. But it was an early revelation about time series data, like daily stock prices, interest rates and consumer spending habits that earned him his greatest honour. {1934-2009}

Robert G. Brown (1996) CEO, Material Management Systems Inc., USA: For his path-breaking development of exponential smoothing and related procedures; for his seminal books on forecasting; for his effectiveness as a practitioner and consultant; for his service to the Institute, including serving as a member of the Board of Directors. {1923-2013}

Estela Dagum (1996) International Consultant in Economics and Statistics, University of Bologna, Italy: For her innovative development and implementation of the X11-ARIMA approach to seasonal adjustment and related research; for her service to the Institute, as a past President, as a member of the Board of Directors and as an editor of the Journal.

Spyros Makridakis (1996) is a Professor at the University of Nicosia, a director of its Institute For the Future (IFF), and the founder of the Makridakis Open Forecasting Center (MOFC). He is also an Emeritus Professor at INSEAD and the University of Piraeus. He has authored, or co-authored, twenty-four books and more than 270 articles. His book Forecasting Methods for Management, 5th ed. has been translated in twelve languages and sold more than 120,000 copies while his book Forecasting: Methods and Applications, 3rd ed. has been a widely used textbook in the forecasting field with more than 5,300 citations.

Professor Makridakis was the founding editor-in-chief of the Journal of Forecasting and the International Journal of Forecasting and is the organizer of the M (Makridakis) Competitions. He has also served as the President of IIF and served as the General Chairperson and Program Chairperson of ISF Conferences. His article “Statistical and Machine Learning Forecasting Methods: Concerns and ways forwards” has been viewed/downloaded more than 140,000 times in PLOS ONE where it was published in March 2018. His paper “The M4 Competition: 100,000 Time Series and 61 Forecasting Methods” is the most downloaded one of the International Journal of Forecasting while his paper “The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms” (Futures, March 2017) that is the most downloaded one of the journal. In November 2019, his citations in Google Scholar had surpassed 19,800.