Tag: Data Story 2 CLN

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.