AI Hacks 2022:
February 21-February 28

---

About SafeGraph

SafeGraph is a geospatial data company that curates high-precision data on millions of places around the globe. Our datasets provided detailed, accurate, and up-to-date information on points of interest and how people interact with those locations. Our mission is to build the highest-quality places data and make it available to all. That’s why leaders from large organizations like Sysco, Domino’s, Citizens Bank, and the Centers for Disease Control, as well as nonprofits and universities, rely on SafeGraph data to feed their data science models, research, and decision-making.

The Challenge

Where are the hospital deserts in the United States?
Across the country, millions of Americans live in hospital deserts, areas where residents do not have sufficient access to healthcare facilities. These inequities can be further exaggerated by other factors like access to public transportation, income, and more.

Using SafeGraph’s Core Places and Patterns datasets, teams will create a scoring system that measures healthcare access across the US. Things to consider may include (but not limited to):

• Density of hospitals, pharmacies, and other healthcare POIs in an area
• Density of public transit systems or other transportation infrastructure
• Demographic profiles of visitors to these locations

Prizes

Winner of AI Hacks 2022 will receive:

• $300 cash prize
• SafeGraph swag
• Featured on SafeGraph site
• Opportunity to interview for a data science internship at SafeGraph

Data Overview: SafeGraph’s Core Places & Patterns

This challenge will feature two of our flagship datasets, Core Places and Patterns.

SafeGraph’s Core Places data provides baseline information for every record in the product suite, including location name, address, lat/long, category, brand, and more.

Our Patterns dataset includes visitor and demographic aggregations for points of interest (POIs). This contains aggregated raw counts of visits to POIs from a panel of mobile devices, answering how often people visit, how long they stay, where they came from, where else they go, and more.

Teams may also find demographic information from the US Census and American Community Survey data helpful. You can download that data from SafeGraph here.

Getting Started

1. Sign up for the Data for Academics Program.

We're democratizing access to data through our academic program. By signing-up for SafeGraph’s Data for Academics program, you’ll receive free access to Core Places and Patterns for your non-commercial work.

Go here and be sure to sign up with your academic email address. If you’re running into any issues, please contact Niki Kazahaya (niki@safegraph.com).

2. Start downloading data from the SafeGraph Shop.

After signing up, you will receive an email with credentials to the SafeGraph Shop. This will be where you go to access free data from SafeGraph.

You may find the following healthcare-related NAICS codes helpful to get started. However, please feel free to include others in your project. For more information around NAICS, go here.

Winner of AI Hacks 2022 will receive:

• 622110 - General Medical and Surgical Hospitals
• 446110 - Pharmacies and Drug Stores
• 621493 - Freestanding Ambulatory Surgical and Emergency Centers

3. Get help with using SafeGraph data.

To become an expert using SafeGraph data, be sure to check out the following:

SafeGraph Community

Go to the SafeGraph Community to get help from experienced SafeGraph users. By now, you should have an account with the SafeGraph Shop. You can use the same credentials to log into the Community.

To see common questions from our users, go to the Help category. If you have a question, try searching in the Community before starting a new topic.

Docs & Schema

You can see the full schema and other important details for each dataset here:

• Core Places
• Patterns

Data Science Resources

This repository of tutorials and demonstrations help data scientists get value faster with SafeGraph data. Topics include panel normalization, common use cases for SafeGraph, how to integrate SafeGraph with data science platforms, and more.

4. Share your projects in the SafeGraph Community.

To submit your projects, please share your work in the Show the Community category. Create a new topic and be sure to add the tag, ai-hacks. This will help our judges locate your submissions. Please include:

• A brief overview of your project.
• Link to Google Colab/Jupyter notebook of your code and process.
• Short slide deck summarizing methodology and results.

Judging

Projects will be judged on the following:

• Technology (quality of code, technical and analytical skills demonstrated).
• Applicability (potential to make positive impact).
• Creativity & Innovation (novelty of the approach)
• Presentation (quality of submitted slide deck, quality of live presentation for finalists).

Finalists will be invited to provide a 5 minute presentation to judges from the SafeGraph team.

Important Dates*