Category: Data Stories

Calculating the Economic Impacts of Food Gentrification on Communities of Color in Portland

Presenter(s): Karishma Shah

Faculty Mentor(s): Michael Pangburn & Beth Hjelm

Data Story 2 CLN

While there is much research about the extreme gentrification currently occurring in most major cities around the United States, the economic impacts of food gentrification remain unstudied. Understanding how much annual profit is lost by people of color in the restaurant industry helps to realize the larger cultural impacts of food alongside gentrification. This paper explores the cultural and economic impacts of food gentrification in Portland using literature review, data collection, and data analysis. This data shows the quantitative impacts of gentrification in the food industry and how it contributes to the displacement of communities of color in Portland.

Out of Bounds

Presenter(s): Jaycie Schenone

Faculty Mentor(s): Ed Madison & Jesse Abdenour

Data Story 2 CLN

The combination of poor mental health and college athletics has caused many young adults to take their own life. A year ago, Tyler Hilinski borrowed his friend’s rifle and fatally shot himself in the head. Five years ago, across the country, Madison Holleran jumped from the top of a parking structure in Pennsylvania to her death.

Their stories have been told countless times with the hope and intention of inspiring people to ask for help. But the ending never changes. You want it to change so badly and it doesn’t. That’s why I’m going to tell someone else’s story.

The 10-12 minute documentary, “Step Out of Bounds,” is a take on how one female lacrosse player at the University of Oregon medically retired to quite frankly save herself.

At the UO Research Symposium, I want to share my research, process, and development for this documentary because journalist/filmmakers have a duty to tell similar stories but there are several challenges in doing so. We should be discussing them.

Self-Driven Network for the University of Oregon

Presenter(s): Nolan Rudolph

Faculty Mentor(s): Ramakrishnan Durairajan

Data Story 2 CLN

Our nation has perpetually progressed toward an era of fully automated devices. Obliging by the expectations of the future, I intend to create a device for real time network monitoring and measurement with self remediation abilities that would allow University of Oregon (UO) to run on an entirely self reliant network. This device will be installed with unique software designed for UO to emulate a robust network. This project could benefit UO in a multitude of ways, but most importantly, the security of its network would heighten due to its ability to rapidly diagnose its current state and react accordingly.

Preserving Childhood Through Enhanced Prevention Measures: Investigating predatory language patterns throughout the grooming process to prevent sex crimes against children – a study on prevention and harm reduction.

Presenter(s): Ashleigh Martins

Faculty Mentor(s): Lynette Danley

Data Story 3 CLN

Child abuse may occur in several ways, and in various environments. This project will look specifically at Child Sex Abuse (CSA) cases that were initiated and have taken place in-person only. Cases that began in an online environment but transitioned to face-to-face, or are based only online, have different components which will be investigated in future work. For this project, we propose the use of existing data: previously recorded forensic interviews performed at Child Advocacy Centers. We intend to utilize forensic interviews to determine whether there may be common speech patterns and behaviors that occur early in the grooming process of CSA. The research question we ask is: Are there earlier indicators of abuse than our current understanding? Forensic interviews are conducted by experts with special training in a specific environment. They are 1) video recorded, and, 2) done in a manner which elicits information from the interviewee, without contaminating the story with suggestions or any “leading” from the interviewer. Through the strategic use of these interviews, data is readily available and would be as free from interview errors as possible (i.e. interviewer opinions or suggestions) — and without further imposition upon survivors of having to do additional interviewing — while illuminating predatory behavior. The potential implications of this work are far-reaching. If new patterns are discovered, prevention measures would be updated accordingly, and information disseminated to communities. If existing patterns are confirmed, we would have stronger evidence to support current prevention measures.

The Impact of Negative Emotion on Associative Memory

Presenter(s): Jack Kapustka

Faculty Mentor(s): Dasa Zeithamova

Data Story 2 CLS

Previous research suggests that the ability to remember associations is impaired by negative emotions, though these findings remain inconclusive. In this study, we examined whether this impairment from exposure to a negative stimulus could be transferred to subsequent associations. Sixty-five students were recruited from the University of Oregon Human Subjects Pool. Subjects completed a paired-associates paradigm, in which they learned to link neutral object pairs (AB & BC) that shared a common associate (B). After being tested on AB learning, subjects then learned BC pairs, as well as unrelated pairs (XY) that did not share any AB associations. There were no differences in learning for any of the pairs as a function of emotional distractor condition. Overall, our results suggest that irrespective of distracting emotional experiences, learning of overlapping associations is more difficult than learning of non- overlapping associations.

How do Images Presented In The Media Affect Black Mental Health and Self Perception?

Presenter(s): Peyton Hines-Norwood

Co Presenter(s): Philicia Robinson, Tamara Jordan, Kiasia Lane, Le’Asia Smith, Adryana White, Bailey Adams

Faculty Mentor(s): Curtis Austin

Data Story 3 CLS

We wanted to explore how bias and controlling images shape African American self-perception and whether there are any negative impacts to these communities. We will explore the knowledge we have gathered throughout the research project by creating an audio/visual presentation embodying interviews with black individuals and collected information supporting and answering our collective research question.