Spring Research Conference

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The IMS/ASA Spring Research Conference (SRC) is an annual conference sponsored by the American Statistical Association (ASA) Section on Physical and Engineering Sciences (SPES) [1] and the Institute of Mathematical Statistics (IMS). [2] The goal of the SRC is to promote cross-disciplinary statistical research in engineering, science and technology. The topics broadly cover a wide range of research areas including design and analysis of experiments, uncertainty quantification, computer experiment, machine learning, quality control, reliability modeling, and statistical computing, with the applications in business, industry, environment, information technology and advanced manufacturing. The SRC also regularly has invited sessions organized by editors of the top journals including Technometrics, [3] Journal of Quality Technology, [4] [5] and SIAM/ASA Journal on Uncertainty Quantification. [6] The SRC has the tradition to support students and postdocs with scholarships to selected participants who present contributed talks or posters at the conference.

Contents

About every three or four years, the Spring Research Conference (SRC) and the Quality and Productivity Research Conference (QPRC) have a joint conference together as the Joint Research Conference (JRC). [7] The QPRC is an annual conference sponsored by the American Statistical Association's Section on Quality and Productivity. [8]

History

The SRC was the brainchild of Jeff Wu and Vijay Nair. Its precursor was the 1992 IMS Regional Meeting-Special Topics in Industrial Statistics in Philadelphia, which was initiated by Jeff Wu and program co-chaired by Vijay Nair and Jeff Wu. The inaugural conference was held in Chapel Hill, North Carolina, in June, 1994, with Dr. Rob Easterling as the program chair and Dr. Jerry Sacks as the local organizer. The long-term welfare of the conference is handled by a conference management committee. The members of the first conference management committee were Drs. Vijay Nair (Chair), Jon Kettenring, Jerry Lawless, Jeff Robinson, Daryl Pregibon, and Jeff Wu. The conference completed its 25th anniversary in Santa Fe, New Mexico in 2018. [9]

Meetings During Pandemic

Due to the COVID-19 pandemic, the SRC 2020 was cancelled, which was originally planned to be hosted by the Department of Mathematics and Statistics at Oakland University in Rochester, Michigan from May 20-22, 2020. [10] The SRC 2021 was cancelled again due to the COVID-19 pandemic. The SRC 2022 was organized as a virtual meeting on May 19-20, 2022. In 2023, the SRC has been back to the in-person meeting, taking place at Banff Center on May 24-26, 2023.

Future Meetings

The SRC 2025 will be hosted by Department of Information Systems and Statistics at Baruch College, City University of New York on June 3-5, 2025. The SRC 2026 will be hosted by School of Mathematical and Statistical Sciences at Clemson University.

Past Conferences

DatesLocationHostWebsite
June 17–20, 2024 Waterloo, Ontario University of Waterloo JRC 2024
May 24–26, 2023 Banff, Alberta Banff Centre SRC 2023
May 19–20, 2022VirtualVirtual SRC 2022
May 22–24, 2019 Blacksburg, Virginia Virginia Tech SRC 2019
June 11–14, 2018 Santa Fe, New Mexico Los Alamos National Laboratory JRC 2018
May 17–19, 2017 New Brunswick, New Jersey Rutgers University SRC 2017
May 25–27, 2016 Chicago, Illinois Illinois Institute of Technology SRC 2016
May 20–22, 2015 Cincinnati, Ohio Procter & Gamble Company SRC 2015
June 24–26, 2014 Seattle, Washington University of Washington JRC 2014
June 20–22, 2013 Los Angeles, California University of California-Los Angeles SRC 2013
June 13–15, 2012 Cambridge, Massachusetts Harvard University SRC 2012
June 22–24, 2011 Evanston, Illinois Northwestern University SRC 2011
May 25–27, 2010 Gaithersburg, Maryland National Institute of Standards and Technology JRC 2010
May 27–29, 2009 Vancouver, Canada Simon Fraser University SRC 2009
May 19–21, 2008 Atlanta, Georgia Georgia Institute of Technology SRC 2008
May 21–23, 2007 Ames, Iowa Iowa State University [SRC 2007]
June 7–9, 2006 Knoxville, Tennessee University of Tennessee-Knoxville JRC 2006
June 1–3, 2005 Park City, Utah University of Utah [SRC 2005]
May 19–21, 2004 Gaithersburg, Maryland National Institute of Standards and Technology [SRC 2004]

Related Research Articles

SRC may refer to:

The American Statistical Association (ASA) is the main professional organization for statisticians and related professionals in the United States. It was founded in Boston, Massachusetts on November 27, 1839, and is the second-oldest continuously operating professional society in the U.S. behind the Massachusetts Medical Society. ASA services statisticians, quantitative scientists, and users of statistics across many academic areas and applications. The association publishes a variety of journals and sponsors several international conferences every year.

Technometrics is a journal of statistics for the physical, chemical, and engineering sciences, published quarterly since 1959 by the American Society for Quality and the American Statistical Association.

The Institute of Mathematical Statistics is an international professional and scholarly society devoted to the development, dissemination, and application of statistics and probability. The Institute currently has about 4,000 members in all parts of the world. Beginning in 2005, the institute started offering joint membership with the Bernoulli Society for Mathematical Statistics and Probability as well as with the International Statistical Institute. The Institute was founded in 1935 with Harry C. Carver and Henry L. Rietz as its two most important supporters. The institute publishes a variety of journals, and holds several international conference every year.

<span class="mw-page-title-main">C. F. Jeff Wu</span> American statistician

Chien-Fu Jeff Wu is a Taiwanese-American statistician. He is the Coca-Cola Chair in Engineering Statistics and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. He is known for his work on the convergence of the EM algorithm, resampling methods such as the bootstrap and jackknife, and industrial statistics, including design of experiments, and robust parameter design.

<span class="mw-page-title-main">Data science</span> Field of study to extract insights from data

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Vijayan (Vijay) N. Nair is currently Head of the Statistical Learning and Advanced Computing Group in Corporate Model Risk at Wells Fargo. He was Donald A. Darling Collegiate Professor of Statistics and Professor of Industrial and Operations Engineering at the University of Michigan, Ann Arbor from 1993 to 2017. He served as Chair of the Statistics Department at Michigan from 1998 to 2010. Vijay was instrumental in launching the Michigan Institute for Data Science (MIDAS) and was recognized as a Distinguished Scientist by MIDAS. Prior to joining Michigan, he spent 15 years as a research scientist in the Mathematical Sciences Research Center at Bell Laboratories in New Jersey.

Xuming He is Kotzubei Beckmann Distinguished Professor and Inaugural Chair of Statistics and Data Science at the Washington University in St. Louis. He serves as President (2023–2025) of the International Statistical Institute.

Grace Yun Yi is a professor of the University of Western Ontario where she currently holds a Tier I Canada Research Chair in Data Science. She was a professor at the University of Waterloo, Canada, where she holds a University Research Chair in Statistical and Actuarial Science. Her research concerns event history analysis with missing data and its applications in medicine, engineering, and social science.

Connie M. Borror was an American statistician and industrial engineer interested in quality control and forensic toxicology. She was named the winner of the Shewhart Medal of the American Society for Quality shortly before her death, for "outstanding technical leadership in the field of modern quality control, especially through the development to its theory, principles, and techniques", and became the first woman to win the medal.

Martha M. Gardner is an American statistician associated with GE Global Research, and the former chair of the Quality & Productivity Section of the American Statistical Association.

<span class="mw-page-title-main">Elizaveta Levina</span> Russian and American mathematical statistician

Elizaveta (Liza) Levina is a Russian and American mathematical statistician. She is the Vijay Nair Collegiate Professor of Statistics at the University of Michigan, and is known for her work in high-dimensional statistics, including covariance estimation, graphical models, statistical network analysis, and nonparametric statistics.

Mary Gibbons Natrella was an American statistician and "an expert on the application of modern statistical techniques in physical science experimentation and engineering testing". She worked at the National Bureau of Standards, where she wrote their Handbook 91, Experimental Statistics (1963). It became one of their "all-time best selling publications" and has been recognized as "a monumental work" with "deep and long-lasting impact on the application of statistics to the planning and analysis of scientific experiments".

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<span class="mw-page-title-main">Christine Anderson-Cook</span> Canadian statistician

Christine Michaela Anderson-Cook is an American and Canadian statistician known for her work on the design of experiments, response surface methodology, reliability analysis in quality engineering, multiple objective optimization and decision-making, and the applications of statistics in nuclear forensics. She has published over 250 research articles in statistical, engineering and interdisciplinary journals. She has also written on misunderstandings caused by "hidden jargon": technical terms in statistics that are difficult to distinguish from colloquial English.

Veronica A. Czitrom is a Mexican-American statistician known for her applications of statistics to the quality control of semiconductor manufacturing.

Ying Hung is a Taiwanese-American statistician whose research centers on computer experiments, the use of the design of experiments to plan scientific and engineering simulations, and includes work on kriging, metamodeling, and the use of computer optimization techniques in the design of experiments. She is a professor of statistics at Rutgers University.

Houman Owhadi is a professor of Applied and Computational Mathematics and Control and Dynamical Systems in the Computing and Mathematical Sciences department at the California Institute of Technology. He is known for his work in statistical numerical approximation, kernel learning, and uncertainty quantification.

References

  1. "ASA Section on Physical and Engineering Sciences". American Statistical Association. Retrieved 17 May 2019.
  2. "IMS Representatives with Other Organizations". Institute of Mathematical Statistics.
  3. "Technometrics". Taylor & Francis Group.
  4. "Journal of Quality Technology". American Society for Quality.
  5. "Magazines and Journals". ASQ. March 2021. Retrieved 6 March 2021.
  6. "SIAM/ASA Journal on Uncertainty Quantification". Society for Industrial and Applied Mathematics.
  7. "The Joint Research Conference 2014". University of Washington.
  8. "ASA Quality and Productivity Section". American Statistical Association.
  9. "2018 Joint Research Conference". ASA Colorado-Wyoming Chapter. Retrieved 17 May 2019.
  10. "2020 Spring Research Conference". Oakland University. Retrieved 25 February 2021.