Iowa State University DSPG 2023

Introduction

This Quarto website is an experimental page hosting project documentation through blogs for the 2023 Data Science for Public Good program at Iowa State University. The Blogs tab contains the documentation for each team’s work on a weekly basis. Week One is omitted since it was individual training and work beyond Week Eight is reflected in the final presentation blogs for each team.

To learn more about the program, follow the link to the Iowa State University DSPG Program.

Projects

Data-Driven Insights for Local Food Markets: AI, Pricing, and Crop Flow

This project explores artificial intelligence and data analysis tools to benefit local food farms. We developed a web-scraping tool, conducted data analysis, and developed a crop flow optimization model to maximize profit. The tools and insights obtained empower informed decision-making. Moreover, It serves as a precursor to future advancements in demand forecasting and crop

management for the local food industry.

Project Sponsor: AI Institute for Resilient Agriculture (AIIRA)
Project Leads: Rakesh Shah, Lisa Bates
Graduate Fellows and Interns: Swati Kumari, Mohammad Ahnaf Sadat, Harun Celik, Aaron Case
Final Presentation Teaser: YouTube Video
GitHub: Repository
Project Blog Pages
Final Presentation Video: YouTube

AI-Driven Housing Evaluation for Rural Community Development

The absence of a comprehensive assessment of housing quality in rural areas of Iowa hinders resource allocation and negatively impacts residents’ well-being and economic growth. To address these challenges, an A1-driven approach is proposed. By utilizing web scraping and AI models, housing features can be categorized as good or poor quality, enabling targeted investment strategies, and directing financial resources where they are most needed. This project aims to reduce biases, streamline housing evaluations, and inform decision-making for rural housing ivestment and development initiatives.

Project Sponsor: AI Institute for Resilient Agriculture (AIIRA)
Project Leads: Liesl Eathington, Christopher Seeger
Graduate Fellows: Morenike Atejioye, Mohammad Ahnaf Sadat
DSPG Interns: Kailyn Hogan, Angelina Evans, Gavin Fisher
Final Presentation Teaser: YouTube Video
GitHub: Repository
Project Blog Pages
Final Presentation Video: YouTube Video

Using Data to Inform Decision Making for Rural Grocery Stores

This DSPG project aims to develop a tool that will help provide users information on opening, inheriting, and operating grocery stores in their preferred rural location. Our work as the DSPGrocery package hosts the calculations used within an R Shiny application to perform dynamic calculations based on user-given inputs for estimating revenues and costs associated with opening a grocery store in a rural location.

Project Sponsor: Agricultural Marketing Resource Center
Project Leads: Bailey Hanson, Lisa Bates
Graduate Fellow: Harun Celik
DSPG Interns: Aaron Null, Srika Raja, Alex Cory
Final Presentation Teaser: YouTube Video
GitHub: Repository
Project Blog Pages
Final Presentation Video: YouTube