Upcoming Events

There were 25 record(s) found

April 2025

2025 Symposium on Data Science and Statistics

The American Statistical Association invites you to join us at the seventh annual Symposium on Data Science and Statistics in Salt Lake City, Utah, April 29 - May 2, 2025. SDSS provides a unique opportunity for data scientists, computer scientists, and statisticians to come together and exchange ideas.

May 2025

The Past, Present and Future of Statistics in the Era of AI

The Department of Statistics at George Washington University is celebrating its 90th anniversary, marking nearly a century of significant contributions to statistical education and research. The department will host the conference "The Past, Present and Future of Statistics in the Era of AI" on May 8- 10, 2025 in Washington, DC. The conference aims to foster deeper understanding and collaboration by bringing together established researchers, emerging scholars and industry professionals to discuss the evolving role of statistics in the context of modern AI advancements. The conference features two short courses (statistical foundations of deep learning; introduction to reinforcement learning), two plenary talks, multiple invited talk sessions, one invited panel discussion, and a contributed poster session. Registrations for the main conference (May 9 and 10) and short courses (May 8) are now open. We are also accepting abstract submissions for the contributed poster session (May 9). Limited travel awards will be offered to poster presenters.

The 10th Workshop on Biostatistics and Bioinformatics

Registration is now open for the 10th Workshop on Biostatistics and Bioinformatics in Atlanta, USA on May 9-11, 2025. See the Conference Website math.gsu.edu/yichuan/2025Workshop/ for more information and to register. The keynote speaker is Dr. Heping Zhang, Susan Dwight Bliss Professor of Biostatistics, Professor in the Child Study Center and Professor of Statistics and Data Science at Yale University. There will be invited talks by distinguished researchers, and a poster session by young researchers and graduate students. In order to disseminate the biostatistics knowledge in support of the workshop, we provide a short course during the workshop. The short course will be offered as a part of the workshop program and held on the afternoon of Friday, May 09, 2025. The short course is a half-day (four hours) presentation. The course certificate is provided.

The workshop will be providing partial travel awards to selected conference participants. Priority will be given to senior graduate students, post-graduate, recent PhDs, junior faculty, and under-represented groups. Check the application of travel award for young and minority researchers. For more information, click here: math.gsu.edu/yichuan/2025Workshop/

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Maryland Summer School in Statistics and Machine Learning

The Statistics Program and the Department of Mathematics at the University of Maryland are pleased to announce the inaugural Maryland Summer School in Statistics and Machine Learning, to be held from May 29 to 31, 2025. This event will feature a series of three half-day short courses on a range of contemporary topics in statistics and machine learning, including the foundations of deep learning, network analysis, topological data analysis, random matrix theory, small area estimation, causal inference, and health data analysis, among others. While the courses will be taught in person, participants can also attend virtually via Zoom.

June 2025

Classifying Amenable Operator Algebras

The National Science Foundation and the Conference Board of the Mathematical Sciences presents Regional Research Conferences in the Mathematical Sciences. This conference aims to train working mathematicians and graduate students alike in recent developments and new techniques that have allowed progress in the field of Operator Algebras and their classification. Operator algebras, including C*-algebras and von Neumann algebras, originally arose from quantum physics. Enduring interest in them is largely due to the realization that they can be constructed from, and in some cases encode, many other structures, such as symmetries, time-evolving systems, graphs, and number fields. Alain Connes' work on the structure and classification of amenable von Neumann algebras in the 1970s remains fundamental to modern von Neumann algebra theory. In the topological setting of C*-algebras, the classification program for amenable C*- algebras was initiated in the 1990s, seeking analogous results. This large-scale worldwide endeavor recently culminated in the proof of the main conjecture in the area, giving a complete classification of a broad class of simple amenable C*-algebras. The principal lectures will provide an accessible introduction to the classification result and the follow-up talks will focus on applications. In addition to the principal lectures there will be five complementary follow-up talks by additional speakers. The conference also will feature a panel discussion about future research directions and include other activities designed to broaden participation and to provide young researchers in the field opportunities to build professional networks and share their research.

Representations of p-adic Groups and Noncommutative Geometry

The National Science Foundation and the Conference Board of the Mathematical Sciences presents Regional Research Conferences in the Mathematical Sciences. This conference will examine the interface between the representation theory of the p- adic groups, the Langlands program, and noncommutative geometry. In more detail, the Langlands program is a series of conjectures that connects representations of algebraic groups over the adeles with number theory. The conference will focus on the local Langlands program, where one works with a p-adic field instead of a number field. The lectures will explore the representation theory of p-adic groups from a new perspective, that of noncommutative geometry and operator algebras. The lectures will introduce the notion of stratified equivalence, formulate the strong form of the ABPS Conjecture (Aubert, Baum, Plymen, Solleveld), and explain the role that asymptotic Hecke algebras are expected to play in the proof of the conjecture. Finally a strategy to construct the explicit local Langlands correspondence applicable for the p-adic group G2 and for all pure inner twists of classical p-adic groups will be described. The 10 principal lectures will be self-contained and accessible to students and non-experts. Anne-Marie Aubert, Institut de Mathématiques de Jussieu (IMJ-PRG), lecturer

27th International Scientific Symposium on Bioometrics BIOSTAT 2025

Researchers and practitioners in the field of biometrics - development and application of statistical and mathematical methods for data analysis in life sciences - are encouraged to take part in this symposium organised by the Croatian Biometric Society - Croatian Region of the International Biometric Society.

IISA 2025 Conference

IISA2025 is the annual conference of the The International Indian Statistical Association (IISA). It would bring together Students, Researchers and Professors in Statistics and Data Science from Academia, Industry and many other sectors. University of Nebraska (Lincoln) and IISA are jointly hosting the IISA2025 Conference in June 2025.

The 2025 Quality and Productivity Research Conference

The conference will be held in Seattle, WA, on the University of Washington campus. A full-day short course, "From Users to Builders: Transform Yourself for the Age of AI", presented by Yuzheng Sun, will be offered on June 15th.

The goal of this conference is to foster interdisciplinary research and develop innovative solutions to practical problems by facilitating interactions among statisticians, data scientists, quality professionals, engineers, students, and experts from diverse fields. This year's theme is "Industrial Innovation in the Era of AI." The technical program will emphasize statistical methodologies and creative problem-solving approaches to address scientific, industrial, and business challenges, leveraging advancements in statistics, machine learning, data science, and AI.

If you are interested in organizing a session, providing local support, or giving a talk, please contact one of the committee members listed on the conference website.

Bayes Comp 2025

The biennial Bayes Comp meetings are organized by the Bayesian Computation Section of the International Society for Bayesian Analysis. Bayes Comp 2025 is the fourth conference in the series and is hosted by the Department of Statistics and Data Science at the National University of Singapore. Confirmed keynote speakers are Sylvia Fruhwirth-Schnatter, Pierre Jacob and Emtiyaz Khan. The scientific committee welcomes applications for satellite workshops, to be held at NUS in the lead up to the main conference (June 16-17), as well as invited session proposals that will take place during the main conference (June 18- 20). The deadline for proposals is midnight October 31st (Singapore time), please see the conference website for further details. A call for contributed sessions and posters will be made in early 2025.

International Conference on Statistics and Data Science at Vancouver

The International Conference on Statistics and Data Science will be held in Vancouver, Canada from Monday, June 23 through Wednesday, June 25, 2025.

The objective of the conference is to bring together researchers in statistics and data science from academia, industry, and government in a stimulating setting to exchange ideas on the developments of modern statistics, machine learning, and broadly defined theory, methods, and applications in data science.

We invite you to submit your ideas for an invited session by using this invited session proposal form. Each session will feature three or four speakers. Initial submissions should include the session title, a brief description/motivation, the session chair's name, and the names, affiliations, emails, and tentative talk titles for all speakers. Submissions are due by February 28, 2025; abstracts are not required at this stage. Notification of accepted sessions will be sent by March 15, 2025.

You can also submit an individual contributed talk using this individual contributed talk form. Initial submission should include your name, affiliation, email, and tentative talk title and abstract. Submissions are due by March 31 2025. Notification of accepted talks will be sent by April 15, 2025.

ADRCon 2025

Save the date for the inaugural Administrative Data Resource Conference (ADRCon 2025), coming this summer, June 24-25 in Washington D.C.!

Government agencies and businesses collect vast amounts of everyday data as part of their ongoing operations-ranging from transaction histories, tax filings, employment and school records, program enrollment information, and more. While they use this data to make decisions about how to run their programs and deliver services, it can also fuel research for the public good. ADRCon 2025 is your chance to connect with others doing this important work. Discover cutting-edge methods for using administrative data in research, explore emerging technologies for linking data records and protecting privacy, and take home innovative ideas you can apply to your work.

The conference team is now accepting presentation, panel discussion, and poster session proposals for ADRCon 2025. If you've been working with administrative data in any way and are excited to share your findings and insights with the field, don't miss your chance to be a part of this dynamic event.

Head to our conference website and sign up for our email list to receive all the updates, including registration information, and find details for submitting your abstracts to be part of the program today.

45th International Symposium on Forecasting

The International Symposium on Forecasting (ISF) is the premier forecasting conference, attracting the world's leading forecasting researchers, practitioners, and students. Through a combination of keynote speaker presentations, academic sessions, workshops, and social programs, the ISF provides many excellent opportunities for networking, learning, and fun.

PrefStat 2025 - Preference Statistics summer school

PrefStat summer school is a high-level course on cutting-edge topics in the specific context of Statistical Learning from Preference Information, or Preference Learning. The course is designed to provide a comprehensive overview of preference statistics, a rapidly growing field that has gained significant attention in recent years due to the numerous application fields involving human preferences: recommender systems, Large Language Models, surveys and psychological experiments, marketing, economics, and political science. Preference learning is concerned with all data analyses involving preferences, rankings, ratings, clicking, or any kind of ordinal data. It entails modeling experiments involving a set of assessors (experts, judges, users) who express order relations about a set of items, thus being a subfield of both supervised and unsupervised statistical learning.

The school will provide a deep introduction to the topic and insight into more challenging tasks that are of interest in modern applications, such as handling partial, unstructured, exogenous information, individual preference prediction, and importance feature selection. PrefStat 2025 will combine lectures delivered by internationally leading scholars on the specific designated topic and supervised practical tutorials.

July 2025

MaSeMo : Markov, Semi-Markov Models and Associated Fields (from Theory to Application and back)

Markov chains, semi-Markov chains, and more broadly, Markov processes and their hidden variants constitute a rich and versatile family of stochastic models with applications spanning a wide range of fields, including population dynamics, epidemic modeling, seismology, speech and activity recognition, and reliability analysis. Despite their widespread use, ongoing theoretical and algorithmic advancements are essential to tackle emerging challenges in real-world problems, such as those involving complex observations, multiple interacting hidden dynamics, or control scenarios with constraints. These models have been explored from diverse perspectives across methodological communities-such as process statistics, computational statistics, and optimal control-and applied domains, including signal processing, ecology, and medicine. As part of the ANR HSMM-INCA project, the national workshop PMSMA was organized in 2023 to bring together the French statistical community engaged in these topics. The MASEMO workshop has two key objectives: expanding PMSMA scope to an international audience and extending its thematic range. Hidden Markov and semi-Markov models are often developed independently within non-statistical communities, such as signal processing and artificial intelligence. The upcoming workshop seeks to bridge these gaps by fostering dialogue and collaboration across disciplines, particularly on topics at the intersection of these fields. We hope the event will provide a framework to share the latest developments, encompassing theoretical insights, modeling techniques, inference methods, decision-making strategies, and practical applications. 

DSSV 2025

Data Science, Statistics & Visualisation is an annual conference of the International Association of Statistical Computing aimed at bringing together researchers and practitioners interested in the interplay of statistics, computer science, and visualization, and to build bridges between these fields for interdisciplinary research. This conference shall create a forum to discuss recent progress and emerging ideas in these different disciplines and encourage informal contacts and discussions among all the participants. Presentations should thus be oriented towards a very wide scientific audience, and can cover topics such as machine learning and statistical learning, the visualisation and verbalization of data, big data infrastructures and analytics, interactive learning, advanced computing, and other important themes.

2025 IMS New Researchers Conference

The 25th annual Institute of Mathematical Statistics (IMS) New Researchers Conference (NRC), co-hosted by Vanderbilt's Department of Biostatistics, will be in Nashville, Tennessee, from July 31 to August 2, just before the Joint Statistical Meetings (JSM). NRC offers early-career researchers in statistics, biostatistics, and probability the opportunity to network and receive guidance from senior researchers on topics like publishing, funding, collaboration, and more. Participants can expect to present their research through posters and brief expository talks. Attendance is invitation only. Applications are due May 15. Learn more and apply on the conference website below.

August 2025

2025 Joint Statistical Meetings

JSM is one of the Largest Statistical Events in the World with more than 6,500 attendees from 52 countries; 600+ sessions, including invited, topic-contributed, contributed, and poster presentations; more than 1,000 student attendees, 75+ employers hiring for more than 200 positions, 100+ exhibitors; and more than 40 Professional Development short courses and workshops. It is also one of the broadest, with topics ranging from statistical applications to methodology and theory to the expanding boundaries of statistics, such as analytics and data science. JSM also offers a unique opportunity for statisticians in academia, industry, and government to exchange ideas and explore opportunities for collaboration. Beginning statisticians (including students) can learn from and interact with senior members of the profession. Nashville, Tennessee is the host city for 2025 JSM and offers a wide range of possibilities for sharing time with friends and colleagues. For information, contact jsm@amstat.org or phone toll-free (888) 231- 3473.

International Vilnius Conference on Statistics and Its Applications

On behalf of Vilnius University, Vytautas Magnus University, Lithuanian University of Health Sciences, Lithuanian Mathematical Society, and Lithuanian Statistical Society, the organizers cordially invite you to attend the 1st International Vilnius Conference on Statistics and Its Applications which will take place on August 27-29, 2025 in Vilnius, Lithuania.

Building on the famous legacy of the Vilnius Conferences on Probability and Mathematical Statistics dating back to 1973, the new conference aims at a new tradition, focusing on the current trends of mathematical statistics' theory and applications in Data Science, Artificial Intelligence, Medical Biostatistics, as well as social, life and other sciences. During the five decades, Vilnius conferences have provided an important venue for our science. So it is our sincere hope that the 2025 conference will provide opportunities for presentations on a wide range of theoretical and applied topics, and recognize the important role of statistics in science and our society.

September 2025

Royal Statistical Society 2025 International Conference

The RSS conference brings together the statistics and data science community from across the UK, Europe and around the world to share knowledge and learn about latest developments.

With over 700 attendees from more than 40 countries and all sectors using statistics and data, this is a must-attend event for professionals, researchers, students and everyone interested in the cutting edge of statistical methodology and the impactful application of statistics and data science.

2025 NBER-NSF Time Series Conference

The 2025 NBER-NSF Time Series Conference will be held Friday-Saturday, September 19-20, hosted by the Departments of Economics and Statistics at Rutgers University. The conference will be in person only. It will begin Friday morning and end Saturday afternoon. The NBER-NSF Time Series Conference has long been the premier annual conference in time series; it is particularly noted for bridging econometrics and statistics. It also features both applications and theory. Areas of application include, but are not limited to macroeconometrics, financial econometrics, climate econometrics, machine learning in time-series environments, among others. Registration opens June 1, 2025. There is no registration fee.

Call for papers: https://econweb.rutgers.edu/nswanson/nbernsf2025/callforpapers.pdf

2025 ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop

The ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop is sponsored by the ASA Biopharmaceutical Section in cooperation with the FDA Statistical Association. Each year, the conference lasts three days, with invited sessions co-chaired by statisticians from industry, academia, and regulatory agencies. Short courses on related topics are offered the first day of the workshop.

October 2025

Bayesian Biostatistics Conference

The Bayes Pharma conference is dedicated since 2010 to advancing the application of Bayesian statistics within the biomedical and pharmaceutical sectors. Its primary objectives include promoting Bayesian methodologies in biomedical sciences, showcasing practical case studies across clinical and non-clinical environments, and updating participants on the latest methodological advancements in Bayesian statistics pertinent to medicine and public health. Additionally, the conference aims to provide statisticians with opportunities to adapt to the evolving landscape of the biopharmaceutical industry. The event spans three days, commencing with a training course focused in 2025 on Bayesian and Causal Networks for Clinical and Epidemiological Data. This is followed by two days filled with keynote presentations and contributed talks from experts in the field. The upcoming Bayes 2025 conference is scheduled for October 22-24, 2025, in Leiden, The Netherlands. Participants can anticipate a comprehensive program featuring training sessions, keynote addresses, and discussions on the latest applications of Bayesian statistics in the biomedical field. Organized by the Adolphe Quetelet Society, an official region of the International Biometric Society (IBS), the conference upholds the IBS's commitment to scientific and ethical integrity. The conference is also sponsored by the American Statistical Society. It fosters an environment of respect and inclusivity, ensuring professional conduct among all attendees. For more details on registration, program schedules, and other pertinent information, interested individuals are encouraged to visit the official conference website.

November 2025

2025 Women in Statistics and Data Science Conference

WSDS will gather professionals and students from academia, industry, and the government working in statistics and data science. Find unique opportunities to grow your influence, your community, and your knowledge.

Whether you are a student, early-career professional, or experienced statistician or data scientist, this conference will deliver new knowledge and connections in an intimate and comfortable setting.

December 2025

Research at the Interface of Applied Mathematics and Machine Learning

The National Science Foundation and the Conference Board of the Mathematical Sciences presents Regional Research Conferences in the Mathematical Sciences. This conference will expose early career researchers to cutting-edge research at the interface of applied mathematics and machine learning and also help identify new research directions and will foster the building of new collaborations between research groups in the Texas-Louisiana area and other regions. The 10 principal lectures will be divided into three modules. Module 1 consists of three introductory lectures on machine learning, e.g. deep neural networks and learning problems. The second module of three lectures will introduce important components of applied mathematics in machine learning, such as optimization and regularization. The last 4-lecture module will focus on the use of machine learning in critical problems in computational and applied mathematics, for example inverse problems and high dimensional partial differential equations. The principal lectures will be supplemented by a dozen contributed talks from participants, a poster session, a mentoring academic panel, and a panel that featuring researchers from industry. Lars Ruthotto, Emory University, lecturer