The following meetings are newly listed in the March IMS Bulletin. You can browse the complete list of meetings around the world and if you’re organizing one, add the details here.
Second Workshop: Emerging Data Science Methods for Complex Biomedical and Cyber Data (IMS co-sponsored)
March 26–27, 2020. Augusta, USA
https://www.augusta.edu/mcg/dphs/workshop2/index.php
The workshop features several eminent speakers who are pioneers in the fields of data science including big data analytics. The workshop aims to foster the collaborative research between data science/statistics and other disciplinary science for the purpose of meeting the very hardest and most important data and model-driven scientific challenges, and for enhancing the much needed skills of the next generation workforce. We have witnessed the explosion of complex and big data from various disciplines, social media, cyber traffic, and environment surrounding us in the recent decade. Data scientists and statisticians are blessed with such variety of data that they have never seen before, yet are also facing many challenges because of the complexity and massiveness of such data. The goal of this workshop fits into the society’s demand of fostering collaborative research between data science/statistics and other disciplines in science for the purpose of meeting the very hardest and most important data and model-driven scientific challenges. The Workshop participants will learn statistical and data science methods to handle the enormously complex biomedical and cyber science data, and help them develop analytical thinking, statistical reasoning, communication skills and creativity.
Southeast Probability Conference (IMS co-sponsored)
May 11–12, 2020. Duke University, USA
https://services.math.duke.edu/~rtd/SEPC2020/SEPC2020.html
This small regional conference has been held at the Duke mathematics department seven times in the last nine years. The seven speakers are: Erik Bates (Berkeley), Julia Gaudio (MIT), Jack Hanson (City College), Jeff Kuan (Texas A&M), Oanh Nguyen (Princeton), Soledad Villar (NYU) and Matt Wascher (Wisconsin). There will be a reception/poster session on Monday night. The meeting is supported by NSF grant DMS 2011385. Graduate students and postdocs can apply for partial support.
Like the Midwest and Northeast Probability Conferences, our goal to serve the probabilists in our region — though unlike those meetings, which attract a large number of participants from a wide area, ours is a small meeting, with a leisurely schedule that allows ample opportunity for speakers and other participants to interact. Graduate students and postdocs have a chance to learn about recent developments from experts. A poster session at the end of the first day will allow young researchers to present their work. Slides of the main lectures will be made available after the meeting on the conference web page to more broadly disseminate their content.
2020 IMS/ASA Spring Research Conference (IMS sponsored)
May 20–22, 2020. Oakland University, Rochester, MI, USA
https://files.oakland.edu/users/qu/web/SRC2020.html
The 2020 Spring Research Conference (SRC) of the IMS and the ASA’s Section on Physical and Engineering Sciences (SPES) features keynote speakers Alfred O. Hero (University of Michigan), Roshan Joseph (Georgia Institute of Technology), Agus Sudjianto (Wells Fargo) and Jeff Wu (Georgia Institute of Technology). We invite you to submit contributed papers and posters. Partial funding for students may be available.
FODS-2020: ACM–IMS Foundations of Data Science Conference (IMS sponsored)
October 18–20, 2020. Seattle, WA, USA
w https://fods.acm.org
The Association for Computing Machinery (ACM) and the Institute of Mathematical Statistics (IMS) have come together to launch a conference series on the Foundations of Data Science. Our inaugural event, the ACM–IMS Interdisciplinary Summit on the Foundations of Data Science, took place in San Francisco in 2019. Starting in 2020 we will have an annual conference with refereed conference proceedings. This interdisciplinary event will bring together researchers and practitioners to address foundational data science challenges in prediction, inference, fairness, ethics and the future of data science.
Submission deadline: April 13, 2020; notification: July 15, 2020; camera-ready: August 1, 2020.