Session II
Oral Presentations
1:00 - 2:15 pm

Using compiled research of America's approach intersexuality over the country's history, I will present a few historical reasons for current issues facing the intersex community.

Recent events such as the COVID-19 pandemic and overturn of Roe v. Wade have dramatically exacerbated economic, social, and political inequalities between men and women.

This research explores concepts of reproductive justice and a local organization, Act of Women and Girls, advocates for reproductive justice in a primarily Latine community.

This study examined the effects of cute animal stimuli on working memory in Saddleback College students.

Students with disabilities rely on the community college to achieve their academic goals. Their experiences must be placed at the center of disability reform.

Using more grants and state budget increases, would significantly benefit current college students and reducing the demand for student loans.

Tiger parenting in Asian America has since been thought to rear a child's success, however, this investigation reveals its shocking, lasting detriments in college students.

American ideology of wealth and power embedded in Western culture drives meat overconsumption domestically and globally as industrializing countries Westernize.

Examining, through an intersectional lens, Southeast Asian peoples’ relationships to food and how this can be used to combat the problem of factory farming.

This review of research primarily explains the Free Silver Movement, advocating for a return to double-standard currency that dominated politics in the late nineteenth-century.

Nonacademic barriers for students such as family income, community wealth, and property value statically are significant to a student's academic success.

This study compares attitudes and experiences of modern and alternative medicine, including placebo-based environments as an approach to cope with chronic GI disease.

Fracking is a key industry in the US, has adverse effects on communities and the environment, and lack of regulation causes these issues to grow.

A novel use case for machine learning and convolutional neural networks in detecting tampered lung CT scans that radiologists are unable to identify.