University of Chicago Applied Data Fellowship 2026–2027 in USA

Applications are now open for the Applied Data Fellowship (ADF) 2026–2027 at the University of Chicago’s Harris School of Public Policy. The fellowship offers an exceptional opportunity for graduates and early-career professionals to spend one year working on high-impact projects that combine data, technology, artificial intelligence, and public policy to create meaningful social impact across the United States.

The Applied Data Fellowship is designed for individuals who want to bridge the gap between data analysis and real-world implementation. Fellows are embedded full-time within government agencies, nonprofits, foundations, and mission-driven organizations, helping transform data-driven insights into practical solutions, programs, and policy decisions.

Fellowship Overview

• Host Institution: University of Chicago Harris School of Public Policy
• Program: Applied Data Fellowship (ADF)
• Location: United States
• Duration: 12 Months
• Format: Full-Time Fellowship
• Application Cycle: Rolling Admissions
• Eligible Applicants: Graduates and Early-Career Professionals
• Fields: Data Science, Public Policy, Economics, Statistics, Computer Science, AI, Social Impact and Related Areas

Fellowship Benefits

Selected fellows will receive:

• Competitive annual stipend
• Health insurance benefits
• One-on-one mentorship from experienced practitioners
• Weekly upskilling workshops
• Career coaching and professional development
• Exposure to cutting-edge AI and data technologies
• Networking opportunities with leaders across government, nonprofits, technology, and research sectors
• Real-world project experience with mission-driven organizations

Previous fellowship information published by the University of Chicago indicates fellows have received a living stipend of approximately USD 47,000 plus health insurance support, though applicants should verify current compensation details during the recruitment process.

Areas of Work

Depending on project needs, fellows may serve in roles such as:

• Data Scientist
• Data Analyst
• Data Engineer
• AI and Machine Learning Specialist
• Program Manager
• Policy Implementation Analyst
• Data Visualization Specialist
• Project Coordinator
• Operations and Strategy Associate

Projects may involve:

• Artificial Intelligence implementation
• Machine Learning systems
• Data infrastructure development
• Public health analytics
• Criminal justice reform
• Education policy evaluation
• Renewable energy projects
• Community development finance
• Government modernization initiatives

Who Can Apply?

The fellowship seeks candidates who possess:

• Strong analytical and quantitative skills
• Experience in data analysis and problem-solving
• Interest in public policy and social impact
• Knowledge of tools such as Python, R, SQL, Tableau, Power BI, Machine Learning, or related technologies
• Ability to work with stakeholders across multiple sectors
• Commitment to creating positive societal change

Applicants commonly come from fields including:

• Public Policy
• Data Science
• Economics
• Statistics
• Computer Science
• Social Sciences
• Information Systems
• Engineering
• Related disciplines

Application Process

The fellowship follows a multi-stage selection process:

1. Rolling Application

Applications are accepted throughout the year. Candidates submit their background information, technical experience, and areas of interest.

2. Strategic Profile Review

Applications are reviewed against current partner organization needs. Candidates are invited for interviews when their profiles align with active projects.

3. Interview Process

Selected applicants participate in technical and behavioral interviews. The interview process generally concludes within approximately two weeks after invitation.

4. Matching Phase

Successful candidates are matched with partner organizations. This stage typically takes six to eight weeks depending on project availability and organizational requirements.

5. Fellowship Placement

Fellows begin a one-year full-time engagement while receiving continuous mentorship and support from the University of Chicago ecosystem.

Training and Professional Development

The fellowship places strong emphasis on continuous learning. Fellows receive:

• Weekly technical workshops
• Professional mentorship
• Leadership development opportunities
• Fireside chats with industry experts
• AI and technology demonstrations
• Peer-learning opportunities
• Career advancement support

Career Outcomes

The Applied Data Fellowship has become a strong pathway into careers in:

• Government and Public Service
• Strategy Consulting
• Technology Companies
• Research Organizations
• Foundations and Nonprofits
• Data Science and Analytics Roles

The program reports that approximately 70% of fellows are retained full-time by partner organizations following their fellowship experience.

Why Apply?

The Applied Data Fellowship is ideal for aspiring leaders who want to combine technical expertise with social impact. Rather than working solely on theoretical research, fellows directly implement solutions that influence policy, improve services, strengthen organizations, and create measurable community impact.

Through hands-on experience, mentorship, and exposure to real-world challenges, participants gain the skills necessary to become future leaders in data-driven decision-making and public-sector innovation.

Fellowship Snapshot

• Host: University of Chicago Harris School of Public Policy
• Program: Applied Data Fellowship (ADF)
• Duration: 12 Months
• Location: United States
• Funding: Competitive Stipend + Benefits
• Application Deadline: Rolling Basis
• Eligible Fields: Data Science, AI, Public Policy, Economics, Statistics, Computer Science, Social Sciences
• Career Focus: Government, Nonprofit, Technology, Research and Social Impact Sectors