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.
Finding and Cultivating Data Leaders
Data fellows are recruited by SDP via a nationwide search and matched to an SDP partner organization. They bring impressive credentials in statistics, data management, and research methods. Data Fellows are placed in organizations that will benefit the most.
Agency fellows are current employees who have been identified as analytic leaders in their organization. They are the rising stars of their organization who, with additional training and support from the SDP network, will carry out an invaluable project.
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 a respond to a live challenge to a room of 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