MESSAGE FROM THE PRESIDENT
Welcome to the first ISBA Bulletin of 2026! It is a real honor for me to serve as ISBA President this year, especially as it promises to be a very special one for our community, with the World Meeting as the main highlight. I am also very happy to contribute to the Bulletin again—it feels a bit like a déjà vu, as I served as editor of the “News from the World” column during my postdoc years. I have great memories of the time, when Fabrizio Ruggeri was the Bulletin Editor, and I remain very grateful to him for involving me in that experience.
As always at the start of the year, the Executive Council has seen a few changes. First of all, we owe our deepest thanks to Aad van der Vaart, who has completed three years of truly outstanding service. We are delighted to welcome Judith Rousseau as our new President-Elect, and Leo Duan as Treasurer, taking over from Yanxun Xu, to whom we are very grateful for her amazing job in this role. Michele Guindani deserves special thanks for his leadership as President, and I am very pleased that he will continue to contribute as Past President. Finally, I would like to warmly acknowledge the continuous efforts of our Executive Secretary, Xinyi Xu: her work is absolutely essential to the smooth running of the Society.
As anticipated, the ISBA World Meeting in Nagoya (June 28 – July 3) will be the highlight of the year. We are grateful to the Scientific Committee as it has put together an outstanding program, under the tireless leadership of Sameer Deshpande, and to the Named Lectures Committee, chaired by Sergios Agapiou, for selecting wonderful speakers for the de Finetti and Bayarri lectures. A special thank you goes to the Local Organizing Committee, chaired by Kazuhiko Kakamu, for their tremendous work in making this event possible. Many of us still have great memories of the 2012 ISBA World Meeting in Kyoto, and we are all very much looking forward to Nagoya!
The program will feature plenary talks, invited sessions, contributed talks, and poster sessions. I would especially like to highlight the Savage Award session, where the eight finalists will present their PhD work: this is always one of the most inspiring moments of the meeting. Poster sessions are another key part of the conference, as they foster discussion, exchange of ideas, and often the start of new collaborations. You can find the tentative schedule here. Let me also remind you that the early-bird registration deadline is April 30, so do not miss the opportunity to benefit from reduced fees.
Supporting early-career researchers remains a key priority for ISBA. The call for Junior Researcher Travel Awards is currently open, with a deadline of April 8. In addition to the regular travel awards, there will be the Pilar Iglesias Award for candidates from developing countries and the ISBA Lifetime Members Travel Award. We very much hope to see many PhD students and early-career researchers in Nagoya!
As usual, the World Meeting will be complemented by satellite events. Among these I would mention the j-ISBA flagship meeting BAYSM 2026, which will take place at Chiba University on June 26–27, just before the main conference. You can find more information on this and other exciting Bayesian events in 2026 in the News from the World section of this Bulletin.
Speaking of meetings, I would also like to remind you of the ISBA survey on the future of our meetings, prepared by the dedicated committee on this topic. The survey was announced in the December 2025 issue of the Bulletin, and the deadline has been extended to March 31. Your feedback is extremely important: it will help guide future decisions on how to make our meetings more sustainable and inclusive, while preserving their scientific strength and financial viability. This will also be a topic of discussion within the leadership and, more broadly, at the World Meeting.
Turning to awards, nominations for both the Savage and Mitchell Awards are now open, with a deadline of May 31, 2026. Please see the article by Botond Szabó and Natalia Bochkina in this issue for further details. We look forward to receiving many nominations highlighting outstanding PhD work and influential contributions to Bayesian statistics. The awards will be presented at the 2027 JSM in Chicago.
ISBA is also proud to support, together with other professional societies, the documentary Game of Genius: The Untold Story of David H. Blackwell. Initiated by filmmaker (and David Blackwell’s granddaughter) Leeza Blackwell, the documentary offers a powerful reflection on Blackwell’s legacy, including aspects that have often been overlooked. It is a fitting tribute to one of the most influential probabilists and statisticians of the 20th century, whom we also honor through the Blackwell-Rosenbluth Award by the j-ISBA section.
Our Society continues to grow and evolve. Last year saw the creation of two new Sections (Bayesian AI and Bayesian Social Sciences), both of which will be represented at the World Meeting with their own invited sessions. A proposal for a new Section on Bayesian Structural Learning is currently under consideration, and support for its creation can be expressed by following Nadja Klein’s instructions in this Bulletin. The vitality of our Society is also reflected in the success of Bayesian Analysis: the increase in submissions and the shorter turnaround times reported by the Editor-in-Chief, Igor Prünster, in this issue are truly impressive. This is the result of a collective effort of the Editor, the co-Editors and members of the Editorial Board, to whom we are deeply indebted.
We will soon begin the process of identifying candidates who will run for vacant offices, most notably the next President-Elect and new members of the Board of Directors. You are invited to suggest names for the Nominating Committee: we very much look forward to your input, which can be sent to president@bayesian.org.
I would also like to take a moment to thank all those who contribute to ISBA in so many different ways. The strength of our Society relies on the time, energy, and dedication of its members, often behind the scenes. In particular, I would like to thank the Board members who have recently stepped down - Tamara Broderick, Subhashis Ghosal, Claire Gormley, and Matteo Ruggiero - as well as Past Program Chair Sergios Agapiou, for their dedicated service. At the same time, we warmly welcome our new Board members Alejandra Avalos-Pacheco, David Dahl, Beatrice Franzolini, and Stephanie van der Pas, as well as our new Program Vice-Chair David Frazier. We are also grateful to Catherine Forbes (Finance Committee) and Federico Camerlenghi and Marcos Prates (Prize Committee) for agreeing to serve in such important Committees.
Let me conclude with a reminder to renew your membership, if you have not yet done so. You are also invited to encourage your students, postdocs, and colleagues to join ISBA. The support of our members is essential for sustaining all our activities, including the World Meeting and our efforts to support junior researchers. You can renew your membership and join Sections here.
FROM THE EDITOR
Hello Bayesians,
Welcome to the first ISBA Bulletin of 2026! A huge welcome to our incoming officers and a sincere thank you to all our contributors.
This issue covers all the essential community updates, featuring reports from the Program Council, the BA Editor, the Awards Committee, and j-ISBA. We are also pleased to share a proposal for a new ISBA Section on Bayesian Structure Learning, alongside a “News from the World” section packed with global events.
To cap it all off, we feature a special contribution celebrating the 80th anniversary of Jeffreys’ prior, as well as a Software Highlight showcasing the flexibility of the NIMBLE probabilistic programming language.
ISBA community, enjoy the read!
FROM THE PROGRAM COUNCIL
New Member. David Frazier has joined the Program Council as our new Vice-Chair. We are thrilled to welcome him to this role and look forward to the energy he brings to the team. We also want to express our deepest gratitude to Sergios Agapiou for his dedication and exceptional service over the past three years. Sergios has been instrumental in organizing multiple World Meetings all the way through 2030. Thank you, Sergios, for your incredible impact, and a very warm welcome to David!
(Co)-sponsorship & Endorsement Requests. If you are planning a meeting and would like to request financial sponsorship (or co-sponsorship) or non-financial endorsement from ISBA, please submit your request to the Program Council at program-council@bayesian.org. Detailed information on how to submit requests for sponsorship or endorsement is available here.
Upcoming ISBA-Sponsored/Endorsed Events. In 2026, ISBA will sponsor or endorse many exciting events in 2026. You can find all the details in the News from the World section of this bulletin.
UPDATES FROM BA
As spring approaches, I am pleased to share a few updates from Bayesian Analysis.
Editorial Updates
We closed 2025 with well over 300 submissions, an almost 30% increase compared to 2024. I am also very pleased to report that our streak of sending decisions within four months from submission remains intact: we have just issued a decision on the last paper submitted in November 2025, leaving only one more month to complete a full-year streak. This achievement is entirely due to the dedication of our Editorial Board members and referees, and I am very grateful for their efforts. I believe that the community has now fully embraced this shared commitment to timeliness, and that it will benefit the journal in the long run by combining the Bayesian Analysis tradition of constructive and thorough feedback with consistent and predictable turnaround times.
I would also like to warmly thank Maria Kalli (King’s College London), who is stepping down as Managing Editor, for her outstanding work and dedication. At the same time, I am delighted to welcome Francesco Sanna Passino (Imperial College London) as the new Managing Editor for the 2026–2028 term.
Enhancements to Reference Formatting
With Francesco’s help, we are close to finalizing a redesigned reference format for Bayesian Analysis papers. We are very pleased with the result and hope you will be as well. Beginning in April, papers will start appearing on Advance Access with the new formatting. I would also like to thank the VTeX production team for their patience and responsiveness as we worked through the many implementation details.
As part of this work, we also tackled the challenge of citing conference proceedings consistently. Many journals struggle with this, and there is no fully automated solution that reliably enforces uniformity across sources. For that reason, we have chosen to rely more explicitly on authors’ help, and we have updated the Author Guidelines accordingly. I am grateful in advance for the community’s collaboration on this, and I encourage everyone to consult the updated guidelines before submitting their next paper to Bayesian Analysis. In the coming months, we also plan to refresh the BA style file itself.
Upcoming Discussion Paper
I am pleased to announce the next discussion paper to appear in Bayesian Analysis:
“Robust Probabilistic Inference via a Constrained Transport Metric”
by Abhisek Chakraborty, Anirban Bhattacharya, and Debdeep Pati.
The paper will feature invited discussions from Marco Avella Medina, Jonathan Huggins, Tony Linero, and Yuexi Wang.
We now welcome contributed discussions. Contributions should be no more than two pages long and prepared using the BA LaTeX style (available via the Bayesian Analysis author resources on Project Euclid). Please submit your discussion via EJMS by May 10, 2026, and remember to select “Contributed Discussion” as the manuscript type. All accepted discussions will be shared with the authors, who will have the opportunity to respond in a rejoinder. We look forward to receiving thoughtful and engaging contributions from the community.
Lindley Prize
I would also like to provide a brief update concerning the Lindley Prize. The Lindley Prize Committee has now completed its work on the 2025 prize, based on the set of eligible papers published in the December 2025 issue of Bayesian Analysis. I am very grateful to the Committee for their careful and thoughtful efforts:
David Frazier, Ryan Giordano, Jonathan Huggins, Nadja Klein, Li Ma, Minerva Mukhopadhyay, Ilsang Ohn, and Yixin Wang.
The winner will be announced at the ISBA World Meeting in Nagoya, and I hope to see many of you at the awards ceremony.
BA Sessions at ISBA 2026 and JSM 2026
The Bayesian Analysis sessions at the 2026 meetings are scheduled as follows:
- ISBA World Meeting (Nagoya) on Friday July 3, 2026, from 9:00am to 10:30am
- JSM (Boston) on August 4, 2026, from 10:30am to 12:20pm.
The lineups for these sessions were announced in the December 2025 issue of the ISBA Bulletin.
As always, I encourage you to browse the many excellent papers recently accepted and now available in the Advance Publication section of the journal.
FROM THE PRIZE COMMITTEE
The Prize Committee of ISBA is pleased to open the call for submissions for the 2026 Mitchell Prize and Savage Award. The deadline for submissions is May 31, 2026.
The Mitchell Prize is given in recognition of an outstanding paper that describes how Bayesian analysis has solved an important applied problem. The prize includes a check for $1000 and a plaque; the winner(s) will be announced at the Joint Statistical Meetings in Chicago, Illinois, US, between August 7–12, 2027.
For details on the Mitchell Prize, including names of past winners, eligibility details, and submission information, please visit this website.
The Savage Award, named in honor of Leonard J. ``Jimmie’’ Savage, is bestowed each year to two outstanding doctoral dissertations in Bayesian econometrics and statistics, one each in Theory & Methods and Applied Methodology. Up to two awards of $750 will be awarded. Finalists will be notified by January 2027 and invited to present their dissertation research at a special contributed session at the Joint Statistical Meetings in Chicago. The winners will also be announced at the same meeting. For details on the Savage Award, including names of past winners, eligibility details, and submission information, please visit this website. Nominations for the Mitchell Prize and Savage Award may be made by any ISBA or SBSS member. To join ISBA please go to this link. Questions regarding any of the Prizes or Awards may be sent to the ISBA Prize Committee at prizecommittee@bayesian.org.
JUNIOR ISBA
New j-ISBA Board Members. With the start of 2026, the newly elected officers have joined the j-ISBA Board. Please join me in welcoming our new Chair-Elect, Francesco Gaffi; new Secretary, Emma Landry; and new Program Chair, Nicolas Bianco. You can find their brief biographies on the j-ISBA website at this link. A big “thank you” goes to our outgoing Board Members Matteo Giordano, Filippo Ascolani, and Jordan Bryan for their hard work and outstanding service to j-ISBA in 2024 and 2025! j-ISBA will hold elections again this year for the positions of Chair-Elect and Treasurer; announcements will follow in the coming months.
Upcoming Events (and collaborations to celebrate!)
BAYSM 2026 will take place in Chiba, Japan, on June 26–27, 2026. We are honored to have Professors Kerrie Mengersen and Kengo Kamatani as keynote speakers. In addition, our Blackwell-Rosenbluth award winners Beniamino Hadj-Amar, Geoff Pleiss, Nianqiao Jiu, Beatrice Franzolini, Jun Yang, and Francesco Denti will give a talk in two dedicated sessions. We have received a large number of interesting abstracts, and we will soon send out acceptance notifications and open registration!
In an effort to broaden its geographic reach, j-ISBA has started a collaboration with the Young African Statisticians Association. The first joint event was a webinar in February, “A Journey Through Bayes: How Bayesian Statistics Improves Our Understanding of Cancer,” delivered by Dr. Adolphus Wagala (Dana-Farber Cancer Institute). He gave an excellent talk on Bayesian statistics and its applications in cancer research. The webinar was attended by over 50 participants. The next webinar is planned for June—stay tuned for details. P.S.: Are you following our LinkedIn page?
Another edition of the Blackwell-Rosenbluth Award awaits us! The award recognizes outstanding junior Bayesian researchers based on their overall contributions to the field and to the community. While the call will open in April 2026, you may already start thinking about nominations. PhD students or early-career researchers who obtained their PhD after January 1, 2021, will be eligible. We will also consider nominations with a PhD date before 2021 in cases of particular circumstances (e.g. maternity leave, health issues, etc.).
j-ISBA is sponsoring the session “Recent Advances from Junior Bayesians” at the 2026 ISBA World Meeting, Nagoya, Japan, June 28–July 3.
Speakers: D'eborah Sulem, Jack Jewson, Noirrit Kieran Chandra
Chair: Matteo Giordano
If you can, please remember to join the j-ISBA section by adding USD \(5\) when you renew your ISBA membership (which is only USD \(5\) for students).
PROPOSAL FOR A NEW ISBA SECTION
We are excited to share that we are proposing a new ISBA Section on Bayesian Structural Learning (BSL)! We are currently collecting signatures from those would like to support the creation of this section. If you are interested in learning more or would like to add your support, please reach out at this email address with your full name, affiliation, email address, and specifying whether you are an ISBA member. The initial officers will be David Dunson, Nadja Klein, Rodney Sparapani, and Deborah Sulem.
Bayesian Structural Learning (BSL) refers to methods that uncover the hidden structure of complex stochastic systems while explicitly quantifying uncertainty. This is essential in modern data science: it allows us to reason about competing structural explanations, assess their implications, and make robust decisions under uncertainty.
BSL brings together:
- The core statistical activity of modeling and understanding structural aspects of high-dimensional and complex data
- Bayesian principles that enable coherent uncertainty quantification, principled model comparison, and transparent integration of prior knowledge.
We believe these ideas are currently spread across multiple ISBA Sections, but not explicitly represented by any of them — motivating the need for a dedicated BSL Section. The proposed section aims to provide an inclusive home for researchers working on methods for high-dimensional or structurally complex data, including flexible regression via latent variable and hierarchical models, dependence modeling (e.g., graphical models, copulas, networks), causal inference, spatio-temporal analysis, factor models, and clustering.
Thank you very much for your support!
NEWS FROM THE WORLD
Q&A: what do you believe think?
How has Generative AI impacted your research and research group?
Sam Power (University of Bristol, UK)
My experience with Generative AI in the context of research is still evolving, but has already been quite interesting. Socially, I have found there to be an interesting mix of responses, whereby i) many people are intrigued by the possibilities, and don’t want to risk missing out on an interesting tool, but equally ii) many people struggle to identify which of their tasks are well-suited to the present capabilities of these tools (and I have had both responses myself!). One might hear stories of other researchers solving their own problems ‘with the help of GenAI tools’, without obtaining much clarity as to what the AI-assisted research process looks like in concrete terms. In this regard, I think it’s highly valuable to share more stories of exactly how researchers in our field can use these tools productively.
A major use-case among colleagues seems to be in integrating LLM tools into writing code. I have not been using this so much so far for, e.g., algorithm development - my recent projects have been focused on more theoretical questions - but I have already had some success in using LLMs to write informal applets for familiar methods; think of rudimentary visualisations of, e.g., the Random Walk Metropolis sampler, a Particle Filter, the Optimal Scaling phenomenon in MCMC, and similar. These methods are routine enough that one can get a basic applet up-and-running in seconds, add in some buttons, sliders, graphs, … quickly after, and then have a rather interactive representation to play around with. I have also found this approach useful in cooking up animations for seminar presentations.
Anecdotally, I know of many colleagues who have found these tools to be particularly useful for literature review, and entering into unfamiliar research areas. I can see the potential here, but my own tastes still lean towards first-hand reading and making connections with (human) experts where possible, each having their own charms.
While stories of AI systems, e.g., autonomously solving Erdos problems are exciting from the outside, I do not yet have the optimism to ask an LLM to do the same for a tough statistical problem (indeed, a common point of discussion is that Statistics does not really have a conventional culture of ‘open problems’ anyways). Nevertheless, there does seem to be a case that LLMs can be useful for advancing a given project. For intermediate tasks like turning a rough idea into something more formal, turning some new definitions into some basic supporting theory, finding extensions to and applications of some basic results, etc., synthetic feedback from LLMs stands out in being quick to obtain and concrete in its recommendations. A ubiquitous challenge in research is to critically assess which ideas are worth persisting with and developing into something more serious, and in this regard, these tools already seem to have some value.
To conclude, a vignette from my own research: for my own reasons, in my more mathematical work, I am somewhat guilty of “constant-chasing”, to the effect of working hard to sharpen inequalities and bounds where possible. This fervour is (understandably!) not shared by all collaborators, and I would rarely insist that every constant in a paper be optimised - one needs to finish a project at some stage, after all! With this being said, this sort of task is sufficiently ‘routine’ that several current LLM tools can provide useful guidance on specific calculations, and it is common that one can make some appreciable improvements based on a few rounds of LLM feedback. Moreover, on the occasions that this strategy does pay off, I tend to learn (or at least remember) something useful from the experience of re-writing any ‘borrowed’ proofs in my own words. It stands to reason that other similar ‘routine’ tasks will also interface favourably with LLM tools, either already or in the near future.
Some side details (not essential to include, but maybe useful context): The answer above is entirely written by me. When using GenAI tools, I mostly use Gemini, and occasionally ChatGPT, both in their unpaid versions. I have written some non-publication research notes (A, B) which involve low-level mathematical contributions from LLMs.
Upcoming Meetings, Conferences, and Workshops
ISBA sponsored or endorsed events
2026 Best of Statistical Science Workshop (BOSS 2026), 24-25 April 2026, Department of Statistics at Texas A&M, USA. BOSS 2026 brings together leading experts, faculty, and students for two days of engaging discussions, presentations, and networking opportunities. Whether you’re a student, researcher, or industry professional, this event is a great opportunity to connect and explore the latest advancements in statistical science.
The Bayesian Young Statisticians Meeting (BAYSM) 2026, 26-27 July 2026, Chiba University, Japan. The keynote speakers will be Prof. Kerrie Mengersen and Prof. Kengo Kamatani.
4\(^{th}\) Bayesian Nonparametrics (BNP) Networking Workshop, 6-10 July 2026, Seoul, South Korea. This meeting is organised by the Bayesian Nonparametrics (BNP) Section and aims to enhance networking within the BNP community, particularly for junior researchers.
The 9th Eastern Asia Chapter Conference (EAC-ISBA 2026), 23-25 July 2026, Yunnan University in Kunming, China. The conference will include keynote presentations, parallel invited sessions, contributed sessions, and poster sessions. Further details and updates are available on the conference website.
16th European Seminar on Bayesian Econometrics (ESOBE), 27-28 August 2026, LUISS University, Rome, Italy. This conference features keynote speakers Concepción Ausín (Universidad Carlos III de Madrid), Radu Craiu (University of Toronto), and Petros Dellaportas (University College London). The submission deadline for contributed talks and posters is 27 April 2026. Submissions from all fields of Bayesian econometrics (macro, micro, and financial) are welcome, as well as papers on Bayesian theory, computing, and machine learning. PhD students who are members of the EFaB section of ISBA may apply for a travel support grant. Students and researchers who received their PhD after August 2021 may apply to present their work in the dedicated oral “Young Researchers Session”.
Rethinking the Role of Bayesianism in the Age of Modern AI Workshop, 26-30 October 2026, Edinburgh, UK. This workshop will bring together researchers exploring the frontiers of Bayesian machine learning and deep learning in a collaborative atmosphere. The scientific programme will consist of invited talks, open discussions, interactive breakout sessions, poster sessions for junior participants, and lightning talks.
International Conference on Statistics, Data Science, and Computing for the Environment and Climate Change (LACSC-TIES-EnviBayes-EnvrASA) 2026, 7-11 December 2026, Mexico City, Mexico. This international conference is jointly organised by the Latin American Regional Section of the International Association for Statistical Computing (IASC-LARS ISI), the Mexican Association of Statistics Asociación Mexicana de Estadística (AME), the International Environmetrics Society (TIES) Section on Environmental Sciences of the International Society for Bayesian Analysis (EnviBayes ISBA) and the Section on Statistics and the Environment of the American Statistical Association (ENVR ASA). The theme of this conference is “Climate Change in 2026”. Deadline for abstract submissions: 31 May 2026.
Other events
12th International Workshop on Spatio-Temporal Modelling (METMA XII), 8-10 June 2026, Zaragoza, Spain. METMA XII will be held in Zaragoza, Spain, from 8 to 10 June 2026. The conference aims to promote the development and application of spatial, temporal, and spatio-temporal statistical methods in the context of health and environmental research, with a particular emphasis on Bayesian methods. The scientific program will include four keynote speakers (A. Gelfand, S. Banerjee, G. Jona-Lasinio and R. Huser) and invited speakers; contributions in the form of oral presentations and posters are welcome. The deadline for abstract submission is 15 April 2026. Further details can be found on the official conference website.
\(7^{th}\) meeting of the Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM), 13-16 June 2026, The Chinese University of Hong Kong, Hong Kong. This event serves as a global forum for scientific communication and collaboration among researchers from Asia and the Pacific Rim. It aims to foster connections and partnerships between researchers in this region and colleagues from around the world. Deadline for submitting contributed talks: 31 March 2026.
Statistical Methods for Dynamical Stochastic Models (DYNSTOCH 2026), 15-17 June 2026, Gothenburg, Sweden. This conference is hosted by the Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg, and brings together researchers who are working on various topics in inference and simulation for stochastic processes. Abstract submission deadline: 15 April 2026.
\(10^{th}\) Bayesian, Fiducial, and Frequentist Statistics (BFF) conference, 10-11 July 2026, Salzburg, Austria. The scientific program will include keynote lectures by Richard Samworth and Peter Grünwald. Poster submission deadline: 30 May 2026.
Institute of Mathematical Statistics Annual Meeting 2026, 6-9 July 2026, Salzburg, Austria. The scientific program will feature the 2026 Wald Lecture (Tilmann Gneiting), the 2026 Blackwell Lecture, three 2026 Medallion Lectures (Ian McKeague, Bodhisattva Sen, Jelle Goeman), the IMS Lawrence D. Brown Ph.D. Student Awards, and more than 60 invited and contributed sessions. Deadline for submitting contributed talks: 1 April 2026.
European Meeting of Statisticians 2026, 24-28 August 2026, Lugano, Switzerland. This conference is sponsored by the European Regional Committee of the Bernoulli Society, and is the main conference in statistics and probability in Europe. This meeting features 7 plenary speakers, 21 invited sessions and many contributed sessions. Submission deadline for contributed talks/posters: 31 March 2026.
THE JEFFREYS PRIOR AT 80: A FOUNDATION FOR OBJECTIVE BAYESIAN INFERENCE
SOFTWARE HIGHLIGHT
Christopher Paciorek, Perry de Valpine, Daniel Turek, Paul van Dam-Bates, Wei Zhang, and Ken Kellner
Executive Committee
President: Antonio Lijoi
Past President: Michele Guindani
President Elect: Judith Rousseau
Treasurer: Yanxun Xu
Executive Secretary: Xinyi Xu
Program Council
Chair: Yang Ni
Vice Chair: David Frazier
Past Chair: Sameer K. Deshpande
Board Members
2026–2028:
Alejandra Avalos Pacheco, David Dahl, Beatrice Franzolini, Stéphanie van der Pas
2025–2027:
Sinead Williamson, Clara Grazian, Sally Paganin, David Rossell
2024–2026:
Antonio Canale, Daniele Durante, Lucia Paci, Georgia Papadogeorgou
Social Media Team
Andrew Brown, Julyan Arbel, Clara Grazian, Collin Cademartori