Meet Polygence Scholars and explore their projects
Project: “An exploration of healthful and economic food accessibility in two major cities in Sacramento, California“
Project: “What is the History of CRISPR and what are its current projects?“
Project: “The Applications of RNAi and CRISPR Gene Editing Technologies to Decrease Immunodominant Allergens in Foods“
Project: “The Impact of the Perpetration of Implicit Gender Bias in University Departments on Women in Political Science“
Project: “Ecodesign Strategies in Tech Products“
Project: “Do video games improve the symptoms of Tourette’s Syndrome?“
Project: “Detection of Speech Developmental Delays using Machine Learning“
Project: “How do ADHD and executive functions impact students’ learning and academic performance in a school setting?“
Project: “QPy - A Quantum Circuit Simulator using Python“
Project: “How can ML/AI be used to improve our understanding of the bridge between quantum mechanics and classical physics?“
Project: “Bias in Natural Language Processing: Case Studies on Search Engines“
Project: “What effects do early childhood experiences have on the cognition of social decision making?“
Project: “how can I use blender to complete a full short film about my experiences utilizing different animation styles?“
Project: “Solar Thermal Energy Storage: Techno-economic Review and Assessment“
Project: “What does it take to be an NFL agent, and how do you get there?“
Project: “How will AI technologies impact the legal industry in the future?“
Project: “Evaluating Malnutrition Interventions on Maternal (and Infant) Health“
Project: “From Barter to Bitcoin“
Project: “Personal Question: How can the fields of data science and political science work together to create meaningful projects that have a significant impact on society? Topical Question: What are the determinants and correlations between the political ideologies among lawyers, and how do these ideologies contribute to shaping the political climate in modern society?“
Project: “Energy Prediction and Optimization on Buildings Using EnergyPlus, Machine Learning, and Deep Reinforcement Learning“