Simons Laufer Mathematical Sciences Institute (formerly MSRI)
Program ID: SLMath-ADJOINT [#1333]Program Title: African Diaspora Joint Mathematics Workshop 2023
Program Type: Other
Program Location: Berkeley, California 94720, United States of America
Application Deadline: 2023/02/05 11:59PM finished (2022/10/01, finished 2023/08/12, listed until 2023/02/05)
Program Description: *** this program has been closed and new applications are no longer accepted. ***
program Description
The African Diaspora Joint Mathematics Workshop (ADJOINT) is a yearlong program that provides opportunities for U.S. mathematicians – especially those from the African Diaspora – to form collaborations with distinguished African-American research leaders on topics at the forefront of mathematical and statistical research.
Beginning with an intensive two-week summer session at MSRI, participants work in small groups under the guidance of some of the nation’s foremost mathematicians and statisticians to expand their research portfolios into new areas. Throughout the following academic year, the program provides conference and travel support to increase opportunities for collaboration, maximize researcher visibility, and engender a sense of community among participants. The 2023 program takes place June 19 - June 30, 2023 in Berkeley, California.
ADJOINT enriches the mathematical and statistical sciences as a whole by providing a platform for African-American mathematicians to advance their research and careers and deepen their engagement with 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 (up to $2000 per person) 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
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.
2023 Research Leaders and Topics
Folashade Agusto (University of Kansas)
Ticks, Fire and Control:
Implementing prescribed fire and control measures at ticks invasion front
In recent times, ticks have been expanding their habitat ranges due to climate change, among other factors, leading to increased tick-borne illness risks in the United States. Thus, it is important to find a practical and cost-efficient way of controlling and managing ticks. Prescribed burns are intentional fires used for land and forest management; they are time and cost efficient, since they can be applied across large amounts of land. They can also be effective in controlling tick populations.
Prerequisites: Knowledge of PDEs and their numerical simulation. Knowledge of the SIR model and R0 will be appreciated.
Pre-readings: The
following three resources are meant to familiarize applicants with the project:
·
Centers for Disease Control and
Prevention (CDC): Preventing ticks in the yard
·
Emily Guo and Folashade B.
Agusto: Baptism of Fire: Modeling the
Effects of Prescribed Fire on Lyme Disease
· Alexander Fulk, Weizhang Huang, Folashade Agusto: Exploring the Effects of Prescribed Fire on Tick Spread and Propagation in a Spatial Setting. (Code used in this study can be found at github.)
Jonathan Esole (Northeastern University)
Elliptic fibrations, flops, and
collisions of singularities
Elliptic fibrations are beautiful and elegant geometries at the interface of algebraic geometry,number theory, and string theory. While ubiquitous, they still have many secrets to teach us. In particular, their uses by physicists indicate deep connections of their birational geometry with representation theory and hyperplane arrangements of weight systems. The geometric singular fibers over generic points of the discriminant locus of a smooth elliptic fibration are famously classified by Kodaira and Neron. They have dual graphs corresponding to twisted affine Dynkin diagrams. Under mild conditions, an elliptic fibration is birationally equivalent to a (singular) Weierstrass model. Two different crepant resolutions are connected by a sequence of flops and have some matching topological invariants, such as their Euler characteristics. We are interested in the structure of crepant resolutions of Weierstrass models of elliptic fibrations corresponding to given types of Kodaira fibers. We will explore their flops and compute their topological invariants.
Prerequisites: Familiarity with basic algebraic geometry. Background in intersection theory is a plus but not needed. Someone familiar with elliptic curves could also quickly digest the required algebraic geometry.
Donald Eugene Kemp Martin (North Carolina State University)
Inference and applications of
sparse Markov model
Analysis of a categorical time series is facilitated by a model that captures the statistical properties of the sequence, while being simple enough so that statistical analysis is feasible. Markov models of an order of dependence m serve this purpose. However, the number of parameters in a Markov model is exponential in m, leading to variance considerations because many parameters need to be estimated from data. Thus first-order Markov chains (m = 1) are more frequently used. Yet using a lower-order model when higher-order dependence is called for leads to bias. Sparse Markov models help with this bias-variance trade-off. A sparse Markov model (SMM) is a higher-order Markov model for which conditioning m-tuple histories are grouped into classes such that the conditional probability distribution is constant over m-tuples in the same class. The clustering reduces the number of parameters.
Prerequisites: Basic understanding of probability and statistics, including knowledge of Markov chains, model fitting and statistical inference.
Nsoki Mavinga (Swarthmore College)
Nonlinear elliptic partial
differential equations with nonlinear boundary conditions
Since Bernstein's pioneering work in nonlinear elliptic equations in 1906 and Leray's work on hydrodynamical problems in 1933, there has been a significant amount of interest in the study of nonlinear elliptic partial differential equations. Henceforth, there has been a tremendous emphasis in studying partial differential equations that enable understanding and modeling of nonlinear processes such as chemical, biological or ecological processes. This area has become central in modern-day mathematical research. The study of nonlinear elliptic partial differential equations with linear boundary conditions is relatively well studied and the literature is extensive. However, problems with nonlinear boundary conditions have recently gained attention due to their importance in the study of several branches of pure and applied mathematics such as the theory of quasiregular and quasiconformal mappings in Riemannian manifolds with boundary, non-Newtonian fluids, nonlinear elasticity and glaciology, among others.
In this research project, we will focus on the qualitative (analytical) study of nonlinear elliptic equations subject to nonlinear boundary conditions. In particular, we consider problems with nonlinear reactions in the interior as well as on the boundary of the domain in consideration. We will investigate the existence, nonexistence, multiplicity, and properties of solutions. In the treatment of the proposed problems, new analytical tools will be developed as well as utilize the methods of nonlinear functional analysis such as sub-supersolution method, degree theory, bifurcation theory and fixed points theorems.
Prerequisites: Participants need to have some knowledge of (graduate) partial differential equations, and real and functional analysis.
ADJOINT Program Directors
·
Dr. Caleb Ashley, Boston College
·
Dr. Naiomi Cameron, Spelman
College
·
Dr. Edray Goins, Pomona College
·
Dr. Jacqueline Hughes-Oliver,
North Carolina State University
·
Dr. Anisah Nu’Man, Spelman
College (Onsite Director)
Application Materials Required:
- Submit the following items online at this website to complete your application:
- Cover letter
- Curriculum Vitae
- Research statement
- Personal Statement
- And anything else requested in the program description.
Further Info:
- www.slmath.org
- (510) 642-0555
- Mathematical Sciences Research Institute
17 Gauss Way
Berkeley, CA 94720