In today’s rapidly evolving world, data-driven decision-making is transforming governments, nonprofits, research institutions, and organizations working to solve society’s most pressing challenges. From artificial intelligence and machine learning to public policy innovation and operational transformation, there is growing demand for professionals who can bridge technical expertise with real-world impact.

The Applied Data Fellowship (ADF), hosted through the Harris School of Public Policy at the University of Chicago, offers a unique opportunity for aspiring data professionals, policy analysts, economists, and technical leaders to apply their skills where they matter most.

Designed for highly talented graduate students and emerging professionals, the Applied Data Fellowship places participants directly inside mission-driven organizations for a full year of hands-on work, mentorship, training, and professional development.

Applications are reviewed on a rolling basis, allowing candidates to apply throughout the year and be considered for future fellowship cohorts.

For those seeking to build a meaningful career at the intersection of data, technology, artificial intelligence, policy, and social impact, the Applied Data Fellowship offers an exceptional launchpad.

What Is the Applied Data Fellowship?

The Applied Data Fellowship is a one-year, full-time professional fellowship that connects highly skilled graduate-level talent with organizations tackling complex societal challenges.

Unlike traditional academic fellowships that focus primarily on research, ADF emphasizes practical implementation and real-world impact.

Fellows become embedded within partner organizations, where they contribute directly to projects involving:

• Data analytics
• Artificial intelligence
• Machine learning
• Public policy implementation
• Operational improvement
• Strategic decision-making
• Research and evaluation
• Data infrastructure development
• Program management

The fellowship is designed for individuals who want to use data and technology to improve public systems, strengthen institutions, and create measurable social impact.

Who Are Applied Data Fellows?

Applied Data Fellows are more than data analysts.

They are problem-solvers, strategists, builders, innovators, and implementation specialists who combine technical expertise with a commitment to public service and mission-driven work.

Fellows often come from leading graduate programs in:

• Public Policy
• Data Science
• Economics
• Statistics
• Computer Science
• Social Sciences
• Information Systems
• Quantitative Research
• Artificial Intelligence
• Related analytical disciplines

While every Fellow brings unique strengths, they share a common goal: using data and technology to solve meaningful problems.

Types of Roles Fellows Can Perform

One of the strengths of the Applied Data Fellowship is the diversity of roles available to participants.

1. Data Scientist or Data Analyst

Fellows may focus on extracting insights from large datasets and helping organizations make evidence-based decisions.

Responsibilities may include:

• Data cleaning and preparation
• Statistical analysis
• Predictive modeling
• Machine learning implementation
• Dashboard development
• Performance evaluation

Common tools include:

• Python
• R
• SQL
• Tableau
• Power BI

2. Program Manager

Some Fellows work in operational and strategic roles.

These positions focus on:

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

Program managers help ensure that data insights translate into real-world outcomes.

3. Data Strategist (“Data Shaman”)

The fellowship recognizes that many impactful professionals operate between technical and operational domains.

These Fellows:

• Bridge data and strategy
• Improve organizational workflows
• Support implementation efforts
• Reduce operational bottlenecks
• Facilitate adoption of technology solutions

This hybrid role combines analytical thinking with organizational leadership.

Technical Skills Valued by the Fellowship

The Applied Data Fellowship seeks applicants with expertise or interest in areas such as:

Programming and Analytics

• Python
• R
• SQL

Data Visualization

• Tableau
• Power BI

Artificial Intelligence

• Machine Learning
• AI Adoption
• AI/ML Operations

Data Engineering

• Data Infrastructure
• Data Management Systems

Geospatial Analytics

• GIS Applications

Leadership and Operations

• Program Management
• Stakeholder Engagement
• Strategic Planning

Applicants do not necessarily need mastery of every skill area, but strong technical or operational capabilities are highly valued.

A Fellowship Focused on Learning and Growth

A defining feature of the Applied Data Fellowship is its emphasis on continuous learning.

The fellowship is intentionally structured to ensure that Fellows continue developing throughout the year.

One-on-One Mentorship

Each Fellow receives dedicated coaching and mentorship.

Mentors help participants:

• Navigate challenges
• Build technical skills
• Expand professional networks
• Develop career strategies
• Strengthen leadership capabilities

Weekly Upskilling Workshops

Fellows participate in hands-on training sessions designed to improve practical skills.

Topics may include:

• Advanced analytics
• Machine learning
• Data visualization
• Public sector technology
• Policy analytics
• Project implementation

These workshops provide immediate value to ongoing project work.

Fireside Chats with Leaders

Participants gain direct access to leaders from:

• Government agencies
• Nonprofit organizations
• Research institutions
• Technology companies
• Public policy organizations

These conversations provide valuable insight into leadership, innovation, and career development.

Technology and AI Demonstrations

As AI continues to reshape industries, Fellows receive exposure to emerging technologies through regular demonstrations and discussions.

These sessions help Fellows understand:

• AI applications
• Emerging tools
• Public-sector technology trends
• Responsible AI implementation

Career Outcomes: Why the Applied Data Fellowship Stands Out

The Applied Data Fellowship has established a strong record of helping participants launch impactful careers.

Program statistics highlight its success:

70% Retention Rate

Approximately 70% of Fellows are retained full-time by their host organizations after completing the fellowship.

This demonstrates the value Fellows bring to partner organizations.

More Than 200 Fellows Placed

The program has already supported over 200 placements across multiple sectors.

Eight Fellowship Cohorts

Over eight cohorts, the fellowship has built a strong reputation among employers and mission-driven organizations.

Where Fellows Go After the Program

Graduates of the fellowship pursue careers across a wide range of sectors.

These include:

Government and Public Sector

Working on:

• Public policy
• Data governance
• Service delivery improvement
• Public administration

Strategy Consulting

Helping organizations solve complex challenges through data-driven strategies.

Nonprofits and Foundations

Supporting social impact initiatives through analytics and evaluation.

Research and Academia

Conducting advanced research and contributing to evidence-based policy.

Technology and Data Industry

Building innovative products, systems, and AI solutions.

Understanding the Selection Process

The Applied Data Fellowship is highly selective.

The program reports reviewing over 1,400 applicants while selecting only a small percentage of candidates.

Step 1: Rolling Application

Applications are accepted throughout the year.

Candidates submit:

• Professional background information
• Technical qualifications
• Relevant experience
• Mission-driven interests

There is no fixed application deadline.

Step 2: Strategic Profile Review

Unlike traditional programs, applicants are not immediately interviewed after applying.

Instead, profiles are reviewed against active partner organization needs.

Candidates are invited to proceed only when there is strong alignment between their expertise and multiple available projects.

Step 3: Interview Sprint

Once selected for interviews, the process moves quickly.

Most interviews are completed within approximately two weeks.

Candidates may receive one of three outcomes:

Yes

An offer to join the fellowship.

No

The application is not advanced.

Maybe

The candidate demonstrates strong potential but does not currently align with available projects.

Their profile remains active for future matching opportunities.

Step 4: Matching Process

Following acceptance, Fellows enter the matching phase.

This process generally takes:

• 6 to 8 weeks

During this period, Fellows are paired with host organizations that best fit their skills and interests.

Step 5: Fellowship Placement

Once matching is completed, Fellows begin their:

• Full-time
• One-year fellowship engagement

within their assigned organization.

Fellowship Timeline at a Glance

Application Window

Open year-round

Interview Process

Approximately 2 weeks after invitation

Offer to Placement

6–8 weeks

Fellowship Duration

1 year full-time

Why You Should Apply

The Applied Data Fellowship offers much more than professional experience.

It provides:

• Real-world impact
• Hands-on data work
• Exposure to AI and emerging technologies
• Personalized mentorship
• Professional training
• Career acceleration
• Access to mission-driven organizations
• Networking opportunities with industry leaders
• Potential full-time employment after completion

Apply Now

For aspiring data professionals who want to combine technical excellence with meaningful public impact, few opportunities offer the depth, exposure, and career potential of the Applied Data Fellowship.

Because applications are reviewed on a rolling basis, candidates are encouraged to apply as early as possible to maximize matching opportunities and increase their chances of placement.

Learn more, visit the official website

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