Data fellows are recruited and screened by Harvard-affiliated researchers for partners, or data leaders enroll one or more of their leading employees as agency fellows to receive SDP tools and training to support the organization’s needs.
Over the course of multiple workshops, SDP Fellows train in advanced research methods, leadership, education policy and effective communication. SDP Fellows bring lessons learned back to their organization.
Fellows and supervisors gain a network of professional colleagues who support one another in making evidence-based change in education. Program alumni and faculty lead and mentor new fellows throughout the experience.
SDP Fellows take on a mission-critical project defined by their agency to vastly improve the culture of data use. Fellows and supervisors collaborate with first-class experts and experienced SDP alumni to move the needle for students.
How we match Data Fellows
SDP conducts a nationwide search for strong researchers and analysts with a passion for education and applied experience.
Candidates who demonstrate promise prepare a memo in response to a challenging analytic problem for a phone case interview.
Successful candidates are invited to present new case findings and respond to a live challenge in a room with Harvard researchers.
Admitted fellows interview with multiple SDP partners according to matched interests and skillsets. Once hired, applicants join the ranks of SDP fellows.
Rigorous and Relevant Curriculum
Fellows and supervisors participate in multiple, hands-on workshops and events to assess their organization's data use, develop analytic plans, and share key insights about evidence-driven change. Fellows also partake in remote learning between workshops to develop technical skills and deepen their understanding of key education policy topics.
- Data Governance and Management
- Education Policy Leadership
- Statistical Programming
- Descriptive Analytics
- Data Visualization and Communication
- Change Management
- Capstone Project Development
- Predictive Analytics
- Experimental and Quasi-experimental Design
- Calculating Cost Effectiveness
- Dashboarding and Advanced Visualization
- Sustaining Change