Mathematical Sciences Research Institute, MSRI

Program ID: MSRI-ADJOINT1 [#976]
Program Title: African Diaspora Joint Mathematics Workshop 2021
Program Type: Other
Program Location: Berkeley, California 94720, United States [map]
Application Deadline: 2020/12/15 11:59PMhelp popup (posted 2020/08/19, updated 2020/07/28, listed until 2020/12/15)
Program Description:    

The African Diaspora Joint Mathematics Workshop (ADJOINT) will take place at the Mathematical Sciences Research Institute in Berkeley, CA from June 21 to July 2, 2021.

ADJOINT is a two-week summer activity designed for researchers with a Ph.D. degree in the mathematical and statistical sciences who are interested in conducting research in a collegial environment.  

The main objective of ADJOINT is to provide opportunities for in-person research collaboration to U.S. mathematical and statistical scientists, especially those from the African Diaspora, who will work in small groups with research leaders on various research projects. 

Through this effort, MSRI aims to establish and promote research communities that will foster and strengthen research productivity and career development among its participants. The ADJOINT workshops are designed to catalyze research collaborations, provide support for conferences to increase the visibility of the researchers, and to develop a sense of community among the mathematical and statistical scientists who attend. 

This program will enhance the mathematical and statistical sciences and its community by positively affecting the research and careers of African-American mathematical and statistical scientists and supporting their efforts to achieve full access and engagement in the broader research community. 

During the workshop, each participant will: 

  • conduct research at MSRI within a group of four to five mathematical and statistical scientists under the direction of one of the research leaders 
  • participate in professional enhancement activities provided by the onsite ADJOINT Director 
  • receive funding for two weeks of lodging, meals and incidentals, and one round-trip travel to Berkeley, CA 
After the two-week workshop, each participant will:
  • have the opportunity to further their research project with the team members including the research leader 
  • have access to funding to attend conference(s) or to meet with other team members to pursue the research project, or to present results 
  • become part of a network of research and career mentors


Eligibility

Applicants must be a U.S. citizen or permanent resident, possess a Ph.D. in the mathematical or statistical sciences, and be employed at a U.S. institution.


Selection Process

The guiding principle in selecting participants and establishing the groups is the creation of diverse teams whose members come from a variety of institutional types and career stages. The degree of potential positive impact on the careers of African-Americans in the mathematical and statistical sciences will be an important factor in the final decisions.


Application Process

The application deadline is December 15, 2020.

Applicants must provide:

  • a cover letter specifying which of the offered research projects you wish to be part of; if more than one, please indicate your priorities
  • a CV
  • a personal statement, no longer than one page, addressing how your participation will contribute to the goals of the program (e.g., why you are a good candidate for this workshop and what you hope to gain)
  • a research statement, no longer than two pages, describing your current research interests, and relevant past research activities, and how they relate to the project(s) of greatest interest to you (e.g., what motivates your current interests and what is your relevant research background) 
Due to funding restrictions, only U.S. citizens and permanent residents are eligible to apply.

2021 Research Leaders and Topics

Danny Krashen (Rutgers University)
Adventures in Constructive Galois Theory

Understanding Galois extensions of fields is a central problem in algebra, with a number of open questions, accessible at a number of levels. At the core, Galois theory is an attempt to understand the arithmetic of fields, by studying the types of equations one can set up over a given field, and the structure and symmetries of their sets of solutions. (Click for full description)


Nathan Broaddus (Ohio State University)
Steinberg Modules of Braid Groups

Many important groups of interest in topology are duality groups. As such they have an associated group cohomological object which we call the “Steinberg Module” of the group. We will begin with an introduction to the braid group and discuss a number of elementary descriptions of its Steinberg Module. Our first research goal will be to unify as many of these disparate descriptions as possible. (Click for full description)


Emma K. T. Benn (Mount Sinai University)
Racial/Ethnic Disparities in Health: Applying a More Nuanced Inferential Framework

Reducing and eliminating health disparities is of utmost concern for many public health and biomedical researchers and has been a stated goal for Healthy People 2000, 2010, and 2020. However, when it comes to racial disparities in health, researchers have done well at describing differences, but have often struggled to identify mutable targets for intervention. This problem exists for a host of reasons, including the complex contextual factors surrounding racial disparities, however, this may also stem from the way in which we operationalize race in research. For the proposed project, we will first explore the operationalization of race as a “cause” when examining racial disparities in health based on multidisciplinary discourse around this topic from statisticians informed by the potential outcomes framework, epidemiologists, clinical investigators, and others. (Click for full description)


Julie Ivy (North Carolina State University)
Using Decision Modeling to Personalize Policy in Complex Human-Centered Problems

The COVID-19 pandemic highlights the importance of sequential decision making under conditions of uncertainty, learning as the future evolves, and effectively using data to inform decision making. The pandemic further highlights the significant role that mathematical modeling can and should play in addressing complex human-centered problems. This research project will consider these types of problems from a systems modeling perspective. The focus of this project will be decision making under conditions of uncertainty with the goal of modeling complex interactions and quantitatively capturing the impact of different factors, objectives, system dynamics, intervention options and policies on outcomes with the goal of improving decision quality. (Click for full description)


ADJOINT Program Directors

  • Dr. Caleb Ashley, University of Michigan
  • Dr. Naiomi Cameron, Spelman College
  • Dr. Edray Goins, Pomona College
  • Dr. Jacqueline Hughes-Oliver (Onsite Director), North Carolina State University
  • Dr. Anisah Nu’Man, Spelman College

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the program description.

Further Info:
www.msri.org
 
Mathematical Sciences Research Institute
17 Gauss Way
Berkeley, CA 94720

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