COVID-19 Information for ICERM Participants
ICERM follows Brown University's COVID-19 Campus Safety Policy. Starting in fall 2021, we anticipate that all ICERM scientific programming will be held in person at the institute.
Participants must be registered via Cube for their program of interest and submit the required vaccination attestation in order to attend ICERM programs in person. Please see our ICERM COVID-19 Policies page for more details.
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Welcome to ICERM
The Institute for Computational and Experimental Research in Mathematics
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Welcome to ICERM
The Institute for Computational and Experimental Research in Mathematics
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Welcome to ICERM
The Institute for Computational and Experimental Research in Mathematics
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Welcome to ICERM
The Institute for Computational and Experimental Research in Mathematics
This Week at ICERM
Spring 2020 Reunion Event
May 23 - Jun 10, 2022
Mathematical models arising from scientific applications frequently have a large number of degrees of freedom, and modern observational or empirical datasets have high-dimensional features. Such high-dimensional realities from either simulation or experimental data makes direct computational analysis, compression, and/or probing tasks such as outer-loop optimization, design, and/or uncertainty quantification computationally infeasible. One paradigm for addressing such a challenge is mathematics-based model reduction, which aims to find and exploit low-dimensional structure in high-dimensional models to generate a computationally efficient emulator, often with provable accuracy guarantees. A complementary class of approaches is found in low-rank approximation and statistics where data reduction techniques can efficiently explore and mine parsimonious summarizations of high-dimensional datasets. One major goal of the Spring 2020 program, and the foundational theme for this proposed... (more)
Organizing Committee
- Yanlai Chen
- Serkan Gugercin
- Misha Kilmer
- Yvon Maday
- Shari Moskow
- Akil Narayan
- Daniele Venturi

May 22, 2022
There are no events currently scheduled for May 22nd.
May 23, 2022
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3:50 - 4:00 pm EDTWelcome11th Floor Lecture Hall
- Brendan Hassett, ICERM/Brown University
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4:00 - 5:30 pm EDTWelcome (Back!) ReceptionReception - 11th Floor Collaborative Space
May 24, 2022
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3:00 - 3:30 pm EDTCoffee Break11th Floor Collaborative Space
May 25, 2022
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3:00 - 3:30 pm EDTCoffee Break11th Floor Collaborative Space
May 26, 2022
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3:00 - 3:30 pm EDTCoffee Break11th Floor Collaborative Space
May 27, 2022
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3:00 - 3:30 pm EDTCoffee Break11th Floor Collaborative Space
May 28, 2022
There are no events currently scheduled for May 28th.
Spring 2020 Reunion Event
May 23 - Jun 10, 2022
Mathematical models arising from scientific applications frequently have a large number of degrees of freedom, and modern observational or empirical datasets have high-dimensional features. Such high-dimensional realities from either simulation or experimental data makes direct computational analysis, compression, and/or probing tasks such as outer-loop optimization, design, and/or uncertainty quantification computationally infeasible. One paradigm for addressing such a challenge is mathematics-based model reduction, which aims to find and exploit low-dimensional structure in high-dimensional models to generate a computationally efficient emulator, often with provable accuracy guarantees. A complementary class of approaches is found in low-rank approximation and statistics where data reduction techniques can efficiently explore and mine parsimonious summarizations of high-dimensional datasets. One major goal of the Spring 2020 program, and the foundational theme for this proposed... (more)
Organizing Committee
- Yanlai Chen
- Serkan Gugercin
- Misha Kilmer
- Yvon Maday
- Shari Moskow
- Akil Narayan
- Daniele Venturi

Spring 2020 Reunion Event
May 23 - Jun 10, 2022
Mathematical models arising from scientific applications frequently have a large number of degrees of freedom, and modern observational or empirical datasets have high-dimensional features. Such high-dimensional realities from either simulation or experimental data makes direct computational analysis, compression, and/or probing tasks such as outer-loop optimization, design, and/or uncertainty quantification computationally infeasible. One paradigm for addressing such a challenge is mathematics-based model reduction, which aims to find and exploit low-dimensional structure in high-dimensional models to generate a computationally efficient emulator, often with provable accuracy guarantees. A complementary class of approaches is found in low-rank approximation and statistics where data reduction techniques can efficiently explore and mine parsimonious summarizations of high-dimensional datasets. One major goal of the Spring 2020 program, and the foundational theme for this proposed... (more)
Organizing Committee
- Yanlai Chen
- Serkan Gugercin
- Misha Kilmer
- Yvon Maday
- Shari Moskow
- Akil Narayan
- Daniele Venturi

Spring 2020 Reunion Event
May 23 - Jun 10, 2022
Mathematical models arising from scientific applications frequently have a large number of degrees of freedom, and modern observational or empirical datasets have high-dimensional features. Such high-dimensional realities from either simulation or experimental data makes direct computational analysis, compression, and/or probing tasks such as outer-loop optimization, design, and/or uncertainty quantification computationally infeasible. One paradigm for addressing such a challenge is mathematics-based model reduction, which aims to find and exploit low-dimensional structure in high-dimensional models to generate a computationally efficient emulator, often with provable accuracy guarantees. A complementary class of approaches is found in low-rank approximation and statistics where data reduction techniques can efficiently explore and mine parsimonious summarizations of high-dimensional datasets. One major goal of the Spring 2020 program, and the foundational theme for this proposed... (more)
Organizing Committee
- Yanlai Chen
- Serkan Gugercin
- Misha Kilmer
- Yvon Maday
- Shari Moskow
- Akil Narayan
- Daniele Venturi

Spring 2020 Reunion Event
May 23 - Jun 10, 2022
Mathematical models arising from scientific applications frequently have a large number of degrees of freedom, and modern observational or empirical datasets have high-dimensional features. Such high-dimensional realities from either simulation or experimental data makes direct computational analysis, compression, and/or probing tasks such as outer-loop optimization, design, and/or uncertainty quantification computationally infeasible. One paradigm for addressing such a challenge is mathematics-based model reduction, which aims to find and exploit low-dimensional structure in high-dimensional models to generate a computationally efficient emulator, often with provable accuracy guarantees. A complementary class of approaches is found in low-rank approximation and statistics where data reduction techniques can efficiently explore and mine parsimonious summarizations of high-dimensional datasets. One major goal of the Spring 2020 program, and the foundational theme for this proposed... (more)
Organizing Committee
- Yanlai Chen
- Serkan Gugercin
- Misha Kilmer
- Yvon Maday
- Shari Moskow
- Akil Narayan
- Daniele Venturi

Subscribe to ICERM Calendar (iCal)
ICERM provides an iCalendar (.ics) feed for all events and talks for the upcoming year. You may copy and paste the feed URL below into your preferred calendar app or click the import button below.
To subscribe only to a specific event or program's calendar feed, please visit the event page.
All event times are listed in ICERM local time in Providence, RI (Eastern Daylight Time / UTC-4).
All event times are listed in .
ICERM local time in Providence, RI is Eastern Daylight Time (UTC-4). Would you like to switch back to ICERM time or choose a different custom timezone?
Upcoming Programs
Spring 2020 Reunion Event
May 23 - Jun 10, 2022
Mathematical models arising from scientific applications frequently have a large number of degrees of freedom, and modern observational or empirical datasets have high-dimensional features. Such high-dimensional realities from either simulation or experimental data makes direct computational analysis, compression, and/or probing tasks such as outer-loop optimization, design, and/or uncertainty quantification computationally infeasible. One paradigm for addressing such a challenge is mathematics-based model reduction, which aims to find and exploit low-dimensional structure in high-dimensional models to generate a computationally efficient emulator, often with provable accuracy guarantees. A complementary class of approaches is found in low-rank approximation and statistics where data reduction techniques can efficiently explore and mine parsimonious summarizations of high-dimensional datasets. One major goal of the Spring 2020 program, and the foundational theme for this proposed... (more)
Organizing Committee
- Yanlai Chen
- Serkan Gugercin
- Misha Kilmer
- Yvon Maday
- Shari Moskow
- Akil Narayan
- Daniele Venturi

Summer@ICERM 2020 Reunion Event
Jun 9 - 10, 2022
The 2020 Summer@ICERM program, held virtually due to the COVID-19 pandemic, involved 19 students from across the US in research projects investigating large-scale linear algebra, model reduction, randomized algorithms, and deep learning. Since the program, some students have begun successful technical careers in mathematics and computation, and some have matriculated in graduate school programs. This in-person reunion event, to be held from June 9-10, 2022 at ICERM, aims to rekindle professional relationships and possibly spark new directions for research.
The tentative schedule during the reunion event is:
- Thursday, June 9
- 9:00am-10:00am: Introduction
- 10:00am-11:00am: Coffee/social
- 11:00am-12:00pm: Panel #1: Academic panel
- 12:00am-2:00pm: Lunch
- 2:00pm-4:00pm: âLife after my Summer@ICERMâ talks
- Friday, June 10
- 8:30am-10:00am: Coffee/social
- 10:00am-11:00pm: Panel #2: Industry... (more)
Organizing Committee
- Yanlai Chen
- Akil Narayan
- Minah Oh
ICM-Day@ICERM
Jun 10, 2022
With this year’s International Congress of Mathematicians not being held as planned, ICERM is incredibly proud to host talks given by Brown University faculty who were originally scheduled to speak in person at this prestigious event.
We invite members of the community to join us on Friday, June 10th as Drs. Kavita Ramanan, Richard Schwartz, and Joseph Silverman give their ICM talks here at ICERM.

Summer@ICERM 2022: Computational Combinatorics
Jun 13 - Aug 5, 2022
The Summer@ICERM faculty advisers will present a variety of research projects on the combinatorics of parking functions. This overarching theme will allow participants to study and analyze parking functions by leveraging computational techniques and theory. Faculty will also guide the development of open-source computational tools for analyzing parking functions and their statistics, with time devoted to creating a database of parking functions and their generalizations.
Throughout the eight-week program, 18-22 students will work on their projects in groups of two to four, supervised by faculty advisors and aided by teaching assistants. Students will meet daily, give regular talks about their findings, attend mini-courses, guest talks, and professional development seminars, and will acquire skills in free software development. Students will learn how to collaborate mathematically, working closely in their teams to write up their research into a paper.
Organizing Committee
- Susanna Fishel
- Pamela E. Harris
- Gordon Rojas Kirby

Prediction and Variability of Air-Sea Interactions: the South Asian Monsoon
Jun 13 - 15, 2022
A challenge for mathematical modeling, from toy dynamical system models to full weather and climate models, is applying data assimilation and dynamical systems techniques to models that exhibit chaos and stochastic variability in the presence of coupled slow and fast modes of variability. Recent collaborations between universities and government agencies in India and the United States have resulted in detailed observations of oceanic and atmospheric processes in the Bay of Bengal, the Arabian Sea, and the Indian Ocean, collectively observing many coupled modes of variability. One key target identified by these groups was the improvement of forecasts of variability of the summer monsoon, which significantly affects agriculture and water management practices throughout South Asia. The Monsoon Intraseasonal Oscillation is a northward propagating mode of precipitation variability and is one of the most conspicuous examples of coupled atmosphere-ocean processes during the summer... (more)
Organizing Committee
- Baylor Fox-Kemper
- Jennifer MacKinnon
- Hyodae Seo
- Emily Shroyer
- Aneesh Subramanian
- Amit Tandon

Data Science and Social Justice: Networks, Policy, and Education
Jun 13 - Jul 8, 2022
The Social Justice and Data Science Summer Research Program at ICERM aims to increase interest, research training, and capacity for data science for social justice, and to develop both quantitative and qualitative approaches to those professional practices that call for community engagement, critical inquiry, and interdisciplinary cooperation. In order to advance the mathematics community's understanding of the complexity of computational social justice work, the program will have four emphasis areas (1) networks, (2) policy, (3) education and (4) community-driven research. While the program itself is broadly computational and applied mathematics, researchers with expertise and interests in network science and analysis, open science and data, and computer science are particularly encouraged to apply. As a new field emerges at the face of computational and applied mathematics and social justice, this requires new methods for working across community lines. The organizers are committed... (more)
Organizing Committee
- Carrie Diaz Eaton
- Joseph Hibdon
- Drew Lewis
- Jessica Libertini
- Michelle Manes
- Omayra Ortega
- Victor Piercey
- Bjorn Sandstede
- Talitha Washington
- Tian An Wong
- Heather Zinn Brooks

Connect with ICERM

Sven Leyffer named President-Elect of SIAM
December 20, 2021 - Sven Leyffer of the Mathematics and Computer Science Division at Argonne National Laboratory and ICERM Scientific Advisory Board Chair has been named President-Elect of SIAM.
ICERM Newsletter Summer 2021
Summer 2021 Newsletter - in this issue:
- A Note from ICERM's Director
- An ICERM Public Lecture (Virtual)
- Fall Deadline to Propose Programs
- Upcoming Programs
- Featured Article
- NSF Seeking DMS Director
- Multi-Award Winner
- Summer Workshops (Virtual Only)
- With thanks to our sponsors and donors

Brown's ICERM reimagines what mathematics can be
May 28, 2021 - ICERM featured in Brown University's Impact: Research at Brown magazine