Meet Polygence Scholars and explore their projects
Project: “Applications and Methodologies of Human-Assisted Evolution in Sustaining Coral Reefs“
Project: “Review of the XENON dark matter detector“
Project: “Nuclear Fusion Energy: The State of the Industry“
Project: “Johnson & Johnson's corporate strategy is centered on an ESG strategy, which frames the company's ambitions, informs operations, and creates corporate accountability(1). This research will examine Johnson & Johnson's approach and its benefits from the ESG-first perspective on competitive value, corporate law, and governance.“
Project: “Identifying biomarkers in different demographics of Alzheimer patients“
Project: “Treatment Approaches For Amyotrophic Lateral Sclerosis: Conventional Therapies And Innovative Solutions“
Project: “The logistical breakdown of Abortion restrictions and their impact on women’s bodily autonomy rights.“
Project: “Using Machine Learning to Classify News Articles“
Project: “Psychological and Neurological Effects of PCOS in Women“
Project: “What factors contribute to Taylor Swifts success? / The psychology behind Taylor Swift.“
Project: “Predicting NBA Game Outcomes“
Project: “How do the mechanism, risk factors, and available treatments for allergic reactions influence how allergies are managed and public health outcomes?“
Project: “Why We Need a Shift in the Social and Medical Model of Our Approach to Autism“
Project: “Economic burden of OCD in the United States: Evidence to inform cost-effective healthcare models across the lifespan“
Project: “What is the most cost effective and environmentally friendly way to implement off-grid refrigeration systems in developing countries?“
Project: “Parasocial Relationships: An Overview, Focus on Specific Research, and Case Studies“
Project: “What is relationship between racial disparities in the criminal justice system and wrongful convictions?“
Project: “Investigating the intersect between sleep, sleep recording and Parkinson's disease“
Project: “The Effect of Stress on Alzheimer's Progression“
Project: “A Study into Sentiment Analysis: Understanding How and Why LSTM Models Group Specific Sentences into Sentiments“