Caitlin Roa discusses all of the capstone projects from the graduating class of 2024.
Here’s a brief overview of the capstone projects from the Data Science and Human Behavior Master’s program:
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Equity in Science Publications – Analyzing gender imbalance in scientific authorship and citations, using an API to extract demographic data from journals.
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Neural Fingerprints in Object Recognition – Investigating how different individuals associate meaning with the same object by analyzing fMRI brain activity.
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Total Well-Being in Singapore – Improving elderly healthcare by developing a more efficient digital survey system to assess fall risks and other health concerns.
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Law for Learners Data Innovation – Streamlining legal aid for students by developing a Power BI dashboard and predictive modeling for better case routing.
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Healthy Minds App Engagement – Analyzing user behavior in a well-being app, defining engagement metrics, and identifying pathways for habit formation.
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Addiction Recovery Prediction – Using machine learning to predict substance relapse risk based on geolocation, stress levels, and social interactions.
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Unlocking Learning Insights with Canvas Data – Identifying student success patterns using educational data from an online learning platform.
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Impact of Research Participation on Student Learning – Exploring how engaging in research studies affects cognitive and personality traits, particularly for students with ADHD.
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Climate Change and Insurance Risk Analysis – Investigating the impact of extreme weather events on insurance premiums using publicly available data.
These projects showcase the diverse applications of data science in research, healthcare, education, social good, and industry! Let me know if you’d like me to expand on any of them.