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Chapman University

2023

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Review Of Thorne, Benjamin, The Figure Of The Witness In International Criminal Tribunals: Memory, Atrocities And Transitional Justice, Art Blaser, Trinity Huynh Aug 2023

Review Of Thorne, Benjamin, The Figure Of The Witness In International Criminal Tribunals: Memory, Atrocities And Transitional Justice, Art Blaser, Trinity Huynh

Political Science Faculty Articles and Research

A review of Benjamin Thorne's The Figure of the Witness in International Criminal Tribunals: Memory, Atrocities and Transitional Justice.


How Donald Trump And The 2016 Presidential Election Eclipsed Frank Underwood’S Election In ‘House Of Cards’, Charna Flam May 2023

How Donald Trump And The 2016 Presidential Election Eclipsed Frank Underwood’S Election In ‘House Of Cards’, Charna Flam

Film and Media Studies (MA) Theses

In 2016, the U.S. faced a seismic change in national politics and the evolution of the entertainment industry. As the rise of streaming services had finally hit its stride, Netflix, the industry disruptor, had released a steady stream of critically acclaimed series, most notably beginning with the platform’s first original program, House of Cards. The series’ main character, Frank Underwood (Kevin Spacey) would become a fixture within the television landscape at the time, as both political dramas and anti-hero series were at all-time high, but what the writers of House of Cards did not expect was how their plotlines would …


Using The Scientific Method To Combat The Biological And Sociological Effects Of The Covid-19 Pandemic: An Aspiring Healthcare Professional’S Perspective, Isabelle Dhindsa Apr 2023

Using The Scientific Method To Combat The Biological And Sociological Effects Of The Covid-19 Pandemic: An Aspiring Healthcare Professional’S Perspective, Isabelle Dhindsa

Honors Papers and Posters

The aim of this research was to demonstrate how the scientific method can be used to effectively address both the biological effects and sociological implications of COVID-19. Specifically, the biological aspects cover disease pathology, vaccination and medication research, and technological advancements, while the sociological aspects encompasses the issues of racism and health disparities. It then offers potential solutions to issues that COVID-19 has exacerbated.


3rd Place Contest Entry: Using The Scientific Method To Combat The Biological And Sociological Effects Of The Covid-19 Pandemic: An Aspiring Healthcare Professional’S Perspective, Isabelle Dhindsa Apr 2023

3rd Place Contest Entry: Using The Scientific Method To Combat The Biological And Sociological Effects Of The Covid-19 Pandemic: An Aspiring Healthcare Professional’S Perspective, Isabelle Dhindsa

Kevin and Tam Ross Undergraduate Research Prize

This is Isabelle Dhindsa's submission for the 2023 Kevin and Tam Ross Undergraduate Research Prize, which won third place. It contains their essay on using library resources, their bibliography, and a sample of their research project on using the scientific method to combat the biological and sociological effects of the COVID-19 pandemic.

Isabelle is a fourth-year student at Chapman University, majoring in Biology. Their faculty mentor is Dr. Carmichael Peters.


Predicting Suicidal And Self-Injurious Events In A Correctional Setting Using Ai Algorithms On Unstructured Medical Notes And Structured Data, Hongxia Lu, Alex Barrett, Albert Pierce, Jianwei Zheng, Yun Wang, Chun Chiang, Cyril Rakovski Jan 2023

Predicting Suicidal And Self-Injurious Events In A Correctional Setting Using Ai Algorithms On Unstructured Medical Notes And Structured Data, Hongxia Lu, Alex Barrett, Albert Pierce, Jianwei Zheng, Yun Wang, Chun Chiang, Cyril Rakovski

Mathematics, Physics, and Computer Science Faculty Articles and Research

Suicidal and self-injurious incidents in correctional settings deplete the institutional and healthcare resources, create disorder and stress for staff and other inmates. Traditional statistical analyses provide some guidance, but they can only be applied to structured data that are often difficult to collect and their recommendations are often expensive to act upon. This study aims to extract information from medical and mental health progress notes using AI algorithms to make actionable predictions of suicidal and self-injurious events to improve the efficiency of triage for health care services and prevent suicidal and injurious events from happening at California's Orange County Jails. …