Strategic Data Project Convening 2026

Session Description: Education leaders often default to "additive bias," layering initiatives until systems become cluttered and ineffective. This interactive session reorients leaders toward achieving coherence through strategic subtraction. Drawing on Leidy Klotz’s research, participants will audit their agencies for "zombie programs" and redundant processes using a practical "Proving and Improving" laboratory. Attendees will leave with a roadmap to reduce initiative fatigue, reallocate resources, and create space for high-impact practices to flourish.

Intended Audience: Districts, charters or other local education agencies; State education agencies; Philanthropies and Foundations; Data analysts or independent researchers; Managers of data or technology teams; Senior leaders (including cabinet-level leaders and executive directors); Nonprofit organizations; Service providers

Session Description: In the age of Generative AI, student data is no longer just a record of achievement; it’s the key source for training and refining frontier models. As districts determine what AI tools to use, procurement is the intersection where safety meets connectivity. Participants will get hands-on experience with our AI Data Use and Protection Toolkit and walk away with a standardized framework for vetting AI vendors through the S.A.F.E. benchmarks and Project Unicorn’s interoperability standards.

Intended Audience: Districts, charters or other local education agencies; State education agencies; Senior leaders (including cabinet-level leaders and executive directors)

Session Description: Schools and districts are always searching for ways to streamline data collection and help generate proof points. And while the vast majority of organizations are using the Google Suite, most are using it for its basic functionality and not tapping into its full potential. This session will highlight various tools built in the Google Suite and inspire school/district leaders to think about how to leverage the Google Suite to improve their own orgs.

Intended Audience: Districts, charters or other local education agencies; Nonprofit organizations; Data analysts or independent researchers; Managers of data or technology teams; Senior leaders (including cabinet-level leaders and executive directors)

Session Description: While “college and career readiness” is a familiar phrase, college and career are hardly on equal footing in how success is defined and measured. This facilitated community dialogue will bring participants together to examine how current readiness frameworks shape policy, accountability systems, and public narratives about school quality. Participants from different roles will engage in structured discussion about how readiness definitions can support high expectations while recognizing multiple pathways to economic stability and success.

Intended Audience: State education agencies; Districts, charters or other local education agencies; Senior leaders (including cabinet-level leaders and executive directors)

Session Description: In an era of rising skepticism, how do we build the evidence necessary to sustain bold educational innovations? We will go under the hood of two complex evaluations, a large-scale literacy pilot in Oakland and a workforce redesign initiative, to demonstrate how partial proof and transparent data practices can strengthen stakeholder trust. Data leaders and researchers will leave with strategic understandings for conducting and communicating rigorous evaluation when time is short and data is messy.

Intended Audience: Data analysts or independent researchers; Districts, charters or other local education agencies; Philanthropies and Foundations; State education agencies; Senior leaders (including cabinet-level leaders and executive directors)