Herbicide Transfer through Clonal Milkweed

In this study I propose to use common Milkweed as a study system to understand the impact of clonality and group survival. By intentionally adding a pathogen, such as an herbicide, the spread of the negative effects can be witnessed in a clonally connected plant. The goal of this experiment is to see how far the pathogens travel in a patch, how long it takes for other plants to die, and if there is any preferential sharing.

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Relating How language processing impacts the construction of social identities for speakers of African American English

This project focuses on the study of language and its relation to social identities. It is well known that language reveals properties of how the human mind works and how speakers build and maintain social identities. Traditionally, these two domains of research have been pursued independently. The current project bridges this gap with an experimental investigation of how language processing impacts the construction of social identities for speakers of African American English.

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Abstract: Traumatic Stress and Risk Versus Resilience in First Generation College Students

This summer, my team and I will recruit incoming first-generation college students who will enter William and Mary in the fall. Prior to beginning college, participants will complete a baseline survey in which questions prompt responses about demographic characteristics and family background, ethnic and socioeconomic identity, social support, help-seeking beliefs and behaviors, future plans and beliefs about the likelihood of completing college. Following the baseline, follow up surveys will be sent during the students’ freshman year to track any changes in success, feelings of preparedness, and traumatic experiences. Data will be analyzed with SPSS to identify trends of trauma across different social groups and the academic consequences.

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A Mathematical Model of Maximizing Matching Rate Between Students and Advisors

There are so many exciting things in college life, and matching with a “like-minded” pre-major advisor is definitely one of the most important things! For incoming students, pre-major advisors will be the first to provide them with unique perspectives about College of William and Mary; in addition, their academic experience will certainly influence students’ major decisions in future. We believe that every student wants to match with a pre-major advisor who shares similar interests, but sometimes not everyone can get matched to desired advisors: I paired with the Professor in English Literature department though I am more interested in math. Therefore, maximizing the satisfaction degree between both students and advisors becomes the intention of this project.

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A Mathematical Study of Competition and Adoption of Two Consumer Products

This research project aims to construct a competition model between two consumer products in the market based on the Bass Diffusion Model. We want to predict the long-term performance of these two products in the market–whether they will both survive, or only one of them can survive while the other one will be wiped out. This prediction of consumer behaviors can greatly help the management of the firms selling these products. In order to do that, we would like to adopt and modify two well-known models: the Bass Diffusion Model and the Lotka-Volterra Competition Model.  However, one limitation in the Bass Model is that it measures the future performance on only one product, but it is desirable to know how multiple products will interact in the market. For the sake of this research project, we want to focus on the competition between two products. Thus, in our model we would also like to take consideration of the Lotka-Volterra Competition Model, which is a famous ecology model describing the population dynamics of two competing species with scarce resources. The outcome of competition depends on the strength of competition of each species and possibly the initial conditions. With these two models in mind we propose our modified model to predict the long-term behaviors of two consumer products.

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