BETA

Attribution & Collaboration

📝Quick Attribution

For Articles & Reports:

Schedule F comment analysis by Michael Boyce and Abigail Haddad via schedule-f.vercel.app which analyzed public comments from regulations.gov to determine support and themes.

For Academic Papers:

Boyce, M. & Haddad, A. (2024). Schedule F Public Comment Analysis Dataset. Retrieved from https://schedule-f.vercel.app

🤝Let's Collaborate

We're passionate about making government data more accessible and analyzable. Whether you're a journalist, researcher, policy analyst, or civic technologist, we'd love to connect!

Meet the Team

Michael Boyce

Michael Boyce

Developer and website-maker-in-chief

Michael Boyce is a tech and policy expert who recently wrapped up his role as Director of the AI Corps at DHS, where he built the federal government's largest civilian AI team and hired 50 senior AI experts into the Department. Before that, he spent time at the White House working on a range of issues includingAI policy, Western Hemisphere Foreign Assistance, and product/strategy roles at the United States Digital Service. He has over a decade of experience digitizing government processes and building machine learning systems across immigration and national security agencies. Earlier in his career, he worked directly as a Refugee Officer, leading teams and interviewing refugees in places like Ethiopia, Jordan, Kenya, Lebanon, Malaysia, and Turkey, before later leading the team that digitized the U.S. refugee and asylum application process. He lives in the Petworth neighborhood of Washington DC, and likes playing chess and finding good soup dumpling restaurants in the DC suburbs.

Abigail Haddad

Abigail Haddad

Creator and Machine Learning Engineer

Abigail Haddad is an Machine Learning Engineer working on text data pipelines and testing frameworks. She has a PhD in Public Policy from RAND and previously worked for the Army and DHS AI Corps. She co-organizes Data Science DC, runs a civic tech happy hour, and blogs at presentofcoding.substack.com, where she writes about practical approaches to LLM evaluation, text processing pipelines, and coding in government. Some of her work has focused on analyzing government personnel data, including FedScope and USAJobs datasets. She's currently looking for her next job.

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