AI & ML Use Cases Litter Risk Dashboard A machine learning dashboard predicting and visualizing litter risk hotspots High-Resolution Neighborhood Amenity Profiles Yelp API and web-scraping analysis clustering Philadelphia neighborhoods by amenity mix Targeting a Home Repair Tax Credit Logistic regression model to prioritize outreach for a Philadelphia home repair subsidy program Auditing Algorithmic Bias in a Predictive Policing Model A geospatial risk model for arrest prediction in Chicago, examined for racial bias in its outputs Predicting Bike Demand in Washington, D.C. A time-series model forecasting Capital Bikeshare demand in 15-minute intervals Reading Emotion & Sentiment Using AI NLP-based sentiment analysis of public perceptions of Philadelphia parks and recreational facilities TrainTracker: Predicting Train Delays for NJ Transit & Amtrak Linear and logistic regression model predicting delay length and probability across a regional rail network Calculating Home Prices from Zillow Data OLS linear regression model predicting real estate prices in the Philadelphia area Statistics & Research Examining Housing Prices with a Three-Model Approach Comparing Spatial Lag, Spatial Error, and Geographically Weighted Regression on the Philadelphia housing market Predicting Alcohol-Related Car Accidents Logistic regression model identifying predictors of drunk-driving accidents in Philadelphia Categorizing a City Using Cluster Analysis K-means cluster analysis identifying spatial autocorrelation among block-group socioeconomic indicators OLS Regression on House Prices Correlating neighborhood socioeconomic variables with median house value in Philadelphia Python Demonstrations A Quarto website collecting Python-based geospatial analysis, visualization, and remote sensing projects Transit-Oriented Development Impact Analysis Vector-based quantitative analysis of BART's effect on the San Francisco Bay Area, 2009-2017 Spatial Optimization Studies Maximum Covering Location Problem Solving the Maximum Location Coverage Problem in theory and practice using ArcGIS Pro, Power BI, and CPLEX Redundancy in Transit Stops & Coverage vs. Accessibility Sensitivity analysis of a bus coverage model using a sample Charlotte transit line Location-Allocation for Pharmacy Siting Optimizing pharmacy placement to minimize collective travel distance to care Dispersion Theory Applying the p-dispersion problem to maximize distance between similar facilities in a network Dispersion Location Analysis Applying the p-dispersion problem to a policy question on homeowner eligibility for former convicts Maximum Species Coverage Optimization Applying coverage optimization to endangered species protection in Mecklenburg County, NC Comparing Species Preservation and Park Budgets A spatial optimization comparison of conservation funding priorities against parcel-level preservation needs Writing Samples Recidivism Algorithm: NYC Policy Memo A policy memo examining the use of a recidivism-risk algorithm in New York City's criminal justice system
