If you care about how students learn math,
you belong here.
We partner with people across research and practice — from early-career scholars to districts and funders. Bring a formed proposal or an early curiosity; we'll help find the right path.
- Graduate students and postdocs
- Teachers, schools, and districts
- Principal investigators (PIs) and research teams
- Independent evaluation organizations
- Philanthropic and grant-funded initiatives
- MathEd and EdTech organizations
- Research consortia and improvement networks
Where we
work together
We collaborate through structured pathways that match your goals — from single-study data access to multi-year research-practice partnerships.
Utilize existing implementation and outcome datasets to answer critical research and practice inquiries with MIND's scale of data.
Design and execute pilots, quasi-experiments, or randomized trials with shared implementation responsibilities and joint authorship.
Develop dashboards, analytics pipelines, and new indicators — productive struggle metrics, early-warning systems, and learning trajectories.
Investigate culturally responsive implementation, access gaps, and opportunity disparities to inform more equitable math learning practices.
Ongoing collaborations connecting research questions to implementation decisions, improvement cycles, and district capacity building.
Conference presentations, practitioner briefs, webinars, and coauthored peer-reviewed publications aligned with your dissemination needs.
From curiosity
to publication
A collaborative process designed to maintain scientific rigor while minimizing administrative friction. Each step is tailored to the project.
Looking for inspiration?
Send a brief description of what you'd like to do and what support you need.
RoleResearch questionSettingNeeds (data, co-design, tooling)TimelineFunding / IRB status
Short conversation to confirm feasibility and shared goals; outline design, measures, and responsibilities.
HypothesesDesign ideasParticipant / site constraintsOutcomes of interest
Put needed legal and research agreements in place.
Non-disclosure agreements (NDA)Data use agreement (DUA) / Data sharing agreement (DSA)Collaboration / Statement of work (SOW)IRB coordination
Define study plan, data needs, tooling, and implementation expectations.
Data security planMeasuresInstrumentation / loggingFidelity expectations
Launch, monitor, and iterate on procedures; secure transfer and storage of shared data.
Rollout calendarMonitoring cadenceSurvey / assessment plan
Collaborate on analysis plans and interpretation (quantitative and/or qualitative).
Pre-registration (if relevant)Statistical planCoding framework for qualitative work
Share findings credibly and usefully: papers, reports, briefs, presentations, and open materials.
Authorship planVenuesPractitioner-facing outputsData-sharing constraints
Let's ask better questions,
together.
Whether you have a fully formed research proposal or just a curiosity to explore, we want to hear from you.