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Applications are now open for the Applied Data Fellowship (ADF) 2026, a prestigious one-year professional fellowship hosted by the University of Chicago Harris School of Public Policy. The programme is designed for talented data professionals, policy analysts, graduate students, and early-career professionals who want to use data and technology to solve real-world social challenges.

The Applied Data Fellowship places fellows within government agencies, nonprofit organizations, foundations, and social enterprises where they work on high-impact projects that bridge the gap between data analysis and policy implementation. Fellows gain practical experience while receiving mentorship, technical training, and professional development support throughout the programme.

The fellowship is ideal for individuals interested in applying data science, analytics, artificial intelligence, public policy, and program management skills to create measurable social impact.

Summary

• Programme Name: Applied Data Fellowship (ADF) 2026
• Host Institution: University of Chicago Harris School of Public Policy
• Host Country: United States of America
• Programme Duration: 12 Months
• Programme Type: Professional Fellowship
• Eligible Applicants: Graduate Students, Recent Graduates, and Early-Career Professionals
• Focus Areas: Data Science, Public Policy, Artificial Intelligence, Analytics, Program Management
• Placement Organizations: Government Agencies, Nonprofits, Foundations, and Social Enterprises
• Application Mode: Online
• Application Review: Rolling Basis

Check Also: UNDP Digital, AI and Innovation Internship 2026 (PAID)

About the Applied Data Fellowship

The Applied Data Fellowship was established to help organizations transform data insights into practical actions that improve policies, services, and community outcomes.

Fellows are embedded within partner organizations where they contribute to projects involving data analysis, program evaluation, machine learning, operational improvements, and policy implementation. Rather than focusing solely on research, the programme emphasizes real-world problem-solving and measurable impact.

The fellowship builds on the University of Chicago’s commitment to evidence-based policymaking and social innovation. Over the years, fellows have supported projects in sectors such as:

• Public Policy
• Education
• Healthcare
• Economic Development
• Energy and Environment
• Urban Development
• Social Innovation
• Government Services

Fellowship Benefits

Selected fellows may receive:

• One year of hands-on professional experience
• Placement within mission-driven organizations
• Technical mentorship and supervision
• Career coaching and professional development support
• Weekly learning opportunities
• Networking with public policy and data leaders
• Exposure to real-world policy challenges
• Opportunities to build advanced data and AI skills
• Enhanced career prospects in public service, consulting, technology, and nonprofit sectors

The fellowship focuses on developing both technical expertise and leadership skills.

Fellowship Roles

Participants may serve in a variety of positions depending on their skills and host organization needs.

Data Scientist / Data Analyst

Responsibilities may include:

• Data analysis
• Statistical modeling
• Machine learning
• Dashboard development
• Data visualization
• Predictive analytics

Common tools include:

• Python
• R
• SQL
• Tableau
• Power BI

Program Manager

Responsibilities may include:

• Stakeholder coordination
• Project management
• Performance monitoring
• Program implementation
• Strategic planning

Data Strategist

These professionals bridge technical analysis and organizational decision-making by helping institutions implement data-driven solutions and improve operations.

Check Also: Google Career Certificate Scholarship 2026

Eligibility Criteria

The Applied Data Fellowship is designed for individuals who possess strong analytical, technical, and problem-solving skills.

Competitive applicants often come from backgrounds such as:

• Public Policy
• Data Science
• Economics
• Statistics
• Computer Science
• Social Sciences
• Engineering
• Business Analytics
• Information Systems

Applicants should demonstrate:

• Interest in public service and social impact
• Strong quantitative skills
• Data analysis experience
• Problem-solving ability
• Communication and teamwork skills

The fellowship welcomes candidates graduating in 2026 as well as qualified early-career professionals.

Technical Skills Valued

The programme particularly values experience in:

• Python
• R
• SQL
• Machine Learning
• Artificial Intelligence
• Data Visualization
• Tableau
• Power BI
• GIS
• Data Infrastructure
• Program Evaluation

Applicants are not required to possess expertise in every area, but strong technical capabilities are advantageous.

Check Also: University of Southern California Fully Funded PhD in Biomedical and Biological Sciences (PIBBS)

Professional Development Opportunities

A major strength of the Applied Data Fellowship is its commitment to continuous learning.

Participants benefit from:

Mentorship

Fellows receive guidance from experienced professionals who help them navigate technical challenges and career development.

Skills Training

Regular workshops help fellows strengthen practical competencies in data analytics, AI, policy evaluation, and implementation.

Career Support

The programme provides personalized career coaching and networking opportunities throughout the fellowship year.

Required Documents

Applicants may be asked to submit:

• Online Application Form
• Curriculum Vitae (CV)
• Academic Records
• Professional Experience Details
• Statement of Interest
• Supporting Documents as Required

Applicants should review the official application portal for the most up-to-date requirements.

How to Apply

Step 1: Review Eligibility Requirements

Carefully assess the programme requirements and fellowship expectations.

Step 2: Prepare Application Materials

Gather your CV, academic information, and relevant professional experience.

Step 3: Complete the Online Application

Submit your application through the official Applied Data Fellowship application portal.

Step 4: Participate in Interviews

Shortlisted candidates may be invited to interviews and additional assessments.

Step 5: Placement Process

Successful candidates are matched with partner organizations according to their skills and interests.

Check Also: University of Florida Health Fully Funded PhD in Public Health

Why Apply?

The Applied Data Fellowship offers an excellent opportunity to:

• Apply data skills to real-world challenges
• Gain experience in public policy implementation
• Build expertise in AI and analytics
• Work alongside government and nonprofit leaders
• Expand professional networks
• Accelerate career growth
• Create measurable social impact

The fellowship is particularly attractive for professionals who want to combine technical expertise with meaningful public service.

Application Deadline

Applications are reviewed on a rolling basis.

Applicants are encouraged to apply as early as possible because placements are filled throughout the recruitment cycle.

Official Application Link

Official Fellowship Page:

Related Opportunities

• Africa Clean Air Network/Health Effects Institute Future Leaders Fellowship 2026
• EDGE Fellowship 2027-2029 for Early-career Conservationists
• ASEF Capacity Building Program 2026 (Fully Funded in China)

Final Note from AK Travels LTD

The Applied Data Fellowship 2026 is an excellent opportunity for aspiring data professionals who want to use analytics, artificial intelligence, and policy expertise to create meaningful social impact. The programme combines hands-on experience, mentorship, and professional development within mission-driven organizations across the United States.

At AK Travels LTD (www.aktravelsltd.com), we encourage applicants to highlight their technical skills, leadership experiences, problem-solving abilities, and commitment to public service. Strong applications typically demonstrate not only analytical expertise but also a genuine desire to use data for societal improvement.

Because applications are reviewed on a rolling basis, early submission can significantly improve your chances of securing a placement within a high-impact organization.