Individual Fellow Initiatives

Displaying 1 - 5 of 5
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Race, Democracy, and Global Social Justice: How Studying Inequality and Vulnerability can Transform the World

Cohort
2020
Fellow(s)

My initiative will achieve better learning outcomes in undergraduate and graduate students in History and the LBJ School by examining the intersection of history and contemporary policy, specifically its disparate impact on communities of color. Currently, departments, centers, faculty and students work independently of one another and lack valuable opportunities to collaborate. Genuine collaboration has evolved into a rare and difficult concept.

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Towards an Anti-Racist Climate in Nursing

Cohort
2019
Fellow(s)

(Project completed 2021) Systems of oppression gain their power from silence. Faculty in the School of Nursing and across the country are not always comfortable engaging in conversations about race and racism, but these discussions are necessary in order to address the disproportionately poor health outcomes experienced by BIPOC. In response to student and faculty concerns, this project seeks to move our school towards an antiracist climate by targeting multiple layers.

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Data Analysis Tools: Integrating Computational and Statistical Techniques in the Environmental Engineering Curriculum 

Cohort
2018
Fellow(s)

The goal of this project is to train the next generation of environmental engineers in computing and statistical techniques to solve big data problems. Current undergraduate students in the Department of Civil, Architectural and Environmental Engineering have little to no exposure to computational and statistical methods for data analysis (e.g., big data collected from sensor networks). I proposed to integrate computational techniques in several courses throughout the Environmental Engineering Degree.

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A Sustainable Way to Teach Data Mining and Mapping: Proof of Concept For a Flipped Computational Skill Instruction Module

Cohort
2017
Fellow(s)

This project is directed at students with no prior knowledge of computer programming languages. When introducing complex and new skills such as computer programming in a classroom, teachers are often confronted with a lot of worried students and great numbers of very different questions, especially in humanities departments. The lecture setting is not well suited to address the needs of individual students.

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The Keys to Understanding History: Unlocking Digital Timelines

Cohort
2016
Fellow(s)

This project started out with a simple idea: From my original proposal, we noted that “Current historical timelines are not interactive, nor do they enable students to understand connections between different events. They are good at showing chronology, but are not good at illustrating how specific events are influenced by a whole host of different historical factors.”