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Browse project ideas by Polygence mentors
Predicting the Side Hustle: Building an AI Model to Forecast Gig Economy Success
Can machine learning predict which digital startups or freelancing paths will actually succeed? In this project, you will step into the shoes of a data scientist to build a predictive model that analyzes what makes digital creators and gig workers successful. Using Python, you will collect and clean real-world platform data (such as freelancer profiles, product listings, or social media engagement metrics) to identify key performance indicators. Depending on your coding experience, you will implement and compare different machine learning algorithms (ranging from simple regression and decision trees to classification models) to forecast income potential or business longevity.
Economics, Finance, Computer Science, Business, History
The Algorithm of Influence: How Gen Z Founders are Rewriting the Rules of E-Commerce
Traditional marketing is dead, and today's successful businesses are built on community, viral loops, and algorithm optimization. This project dives into the psychology and business strategies behind successful youth-led digital brands in the US and Southeast Asia. You will analyze how young founders use TikTok, community-building platforms, and AI-driven marketing to capture consumer attention on a tight budget. Your final project can take the form of a comparative market analysis paper or a comprehensive, investor-ready marketing and growth playbook for a modern digital startup.
Economics, Finance, Computer Science, Business, History
Coding for Change: Using Data Science to Map How AI is Reshaping Economic Mobility
Can a smartphone and an internet connection actually lift a young person out of poverty? This project merges data science with economics to find out. Using public platform data, surveys, or digital market trends from rapid-growth hubs like Singapore and Indonesia, you will analyze how digital tools are changing career pathways for youth. You will learn to use data analysis tools to track metrics like skill acquisition, income growth, or platform reach. Ultimately, you'll produce a data-driven research paper that proposes how tech platforms can be better designed to foster global equality and economic opportunity.
Economics, Finance, Computer Science, Business, History
Common modern predictive factors of anxiety
Much attention has been given to the idea that this generation is the most anxious alive today, yet most of the reasons why are based on opinions and conjecture. By examining the latest research and conducting meta-analysis on previous results, we hope to dive deeper into what we know about what is causing anxiety to increase in the 2020s-- as well as what the solutions could be.
Neuroscience, Psychology
Who Makes the Rules in the Twenty-First Century?
Climate change, artificial intelligence, cyber threats, and digital platforms are reshaping the world in ways that increasingly transcend national borders. Although researchers and policymakers have proposed a wide range of approaches to address these challenges, translating them into policies that work has often proved far more difficult. Why? In this project, we’ll compare how different countries are responding to these global problems and investigate why some strategies succeed while others struggle.
Economics, Quantitative, Social Science
How Is the Information Revolution Changing Society?
Modern markets and democratic institutions evolved in a world where information was relatively scarce, expensive to collect, and difficult to analyze. Today, digital platforms, artificial intelligence, and large-scale data collection have dramatically reduced the cost of producing, analyzing, and distributing information. These changes are transforming how businesses compete, how governments operate, how citizens participate in public life, and how societies balance innovation, privacy, competition, and democratic accountability. In this project, we'll investigate how the information revolution is reshaping relationships among individuals, businesses, and governments, and develop an evidence-based perspective on one of the defining transformations of the twenty-first century.
Economics, Quantitative, Social Science
Why Are Some Countries More Prosperous Than Others?
Why do some countries become prosperous while others struggle? Is it geography, education, natural resources, political institutions, culture, or something else? In this project, we'll investigate one of the central questions in economics and political science by exploring competing explanations, analyzing data, and comparing countries from around the world. Along the way, you'll learn how economists and political scientists develop and test ideas about economic development while building your own evidence-based argument.
Economics, Quantitative, Social Science
Epigenetic downregulations of the Vitamin D receptor gene in Multiple Sclerosis
Multiple Sclerosis (MS) is an autoimmune disease that affects the central nervous system (CNS) (Huang et al. 2017). Recent studies suggest that vitamin D deficiencies have risen as a central risk factor. The vitamin D receptor (VDR) is known to modulate immune tolerance to inflammatory responses in the CNS, which is correlated to MS susceptibility (Ao et al. 2021). Although high vitamin D levels provide capability for VDR activation, there are alternative factors that can accelerate MS development. This includes epigenetic mechanisms in the suppression of the VDR. Such epigenetic mechanisms, DNA methylation, histone modifications, and non-coding RNAs (ncRNAs), are recognised as regulators of VDR activity (Gasperini et al. 2023). For example, a silencing of VDR activity is noticed in patients with methylation in the promoter regions of the VDR. In a similar fashion, suppressive histone modifications leave VDR in a depressive state, allowing pro-inflammatory responses to activate. Additionally, ncRNAs, specifically microRNAs, directly silence VDR levels in MS patients. These interconnections found in epigenetic mechanisms in VDR downregulations and MS pathogenesis highlights how the VDR engenders conditions that prohibit inflammatory responses to weaken the CNS. This review serves to clarify the association between VDR downregulations and MS pathogenesis with emphasis on epigenetic control of VDR activity. By comprehensively analyzing epigenetic mechanisms in MS intervention, there are newfound opportunities for targeted epigenetic modulation as a therapeutic and preventive measure of MS.
Math, Neuroscience, Computer Science
The Link Between Depression and Neurodegeneration in Alzheimer’s Disease
Alzheimer’s Disease (AD) is often feared as a disease of losing memories, but what if depression could predict its arrival before memory loss proceeds? Affecting approximately 46.8 million people worldwide, Alzheimer’s is a progressive neurodegenerative disorder, one of the main causes of mortality and morbidity, especially among the elderly population (Sáiz-Vázquez et al., 2021). AD is the most prevalent type of dementia, accounting for 60 - 70% of all cases globally. It affects more than 50 million individuals worldwide, with incidence rising steadily due to global population aging. At the neuropathological level, AD is defined by two hallmark features: the extracellular aggregation of amyloid-beta (Aβ) plaques and the intracellular accumulation of hyperphosphorylated tau protein in the form of neurofibrillary tangles (NFTs). These protein aggregates are the main causes governing synaptic dysfunction, neuroinflammation, and widespread neuronal loss, particularly in regions essential for memory and cognition, such as the hippocampus and cerebral cortex. Despite decades of research, the precise mechanisms that drive AD pathogenesis remain shrouded in mystery, and there is currently no disease-modifying therapy.
Math, Neuroscience, Computer Science
The interplay between the amygdala and the hippocampus in the emotional processing of music and memories
For the human brain to analyze and understand music, there is a brilliant and meticulous symphony that orchestrates our ability to perceive a compilation of sounds as music. Starting as variations in air pressure received by the pinna at the outer ear, musical sounds are transmitted via the ossicles in the middle ear to the cochlea of the inner ear that harbor our sensory hair cells, which due to their mechanotransduction capabilities, transform the mechanical forces into electrical signaling that is then picked by the spiral ganglions transmitting the auditory message to various areas and pathways in the brain. While this cascade of events holds for every sound that enters our ears, why and how does music affect us? Why do specific songs trigger happiness while others unleash sad memories, and yet other songs bring relaxation or send shivers down our spines? In this work, we review the involvement of two major brain nuclei, the amygdala and the hippocampus, in the emotional processing of music. Among their many roles in the brain, these two nuclei had been shown to be heavily involved in enhancing emotional music memories and the euphoric response to music, interacting with one another to form long-lasting memories. This review gives an elaborate overview of the intricate interplay between the amygdala and the hippocampal neurons in the generation of the neural encoding of musical memories and their associated emotions.
Math, Neuroscience, Computer Science