Full-stack infrastructure to conduct inclusive R&D with students and schools and translate research outcomes into practice.
Education R&D has many inherent challenges, including piloting prototypes in secure environments, managing student data, complying with IRBs and state/district data privacy standards, and transitioning prototypes from testbeds to real operational environments, and these challenges are additionally met with an extremely low tolerance for failure.
Our Full-Stack R&D Infrastructure provides everything you need to conduct inclusive R&D with students and schools and translate research outcomes into practice.
Develop online learning prototypes in secure cloud or hybrid environments, with flexible analytics, compute and data storage. These enclaves allow you to seamlessly go from development to pilot to launch.
We support you in end-to-end data management (from collection to analysis to retention). We help guide research teams in developing reproducible research data (with complete data documentation and codebooks), implementing data standards, and implementing data privacy and security-by-design (e.g., centralized data access controls, secure portals for collecting, compliant sharing of research data, automated data destruction and retention policies).
Education R&D falls under human-subjects research, which are governed by institutional review boards (IRBs). Even UX/UI, co-design projects and human factors research will fall under IRB requirements, especially when working with students or minors. We help researchers and edtech developers looking to study their products structure their pre-analysis plans and navigate IRB applications. Our process often reduces IRB turnaround times from months to a few weeks, and in some cases a few days.
We help researchers and edtech developers co-design research projects with communities, students and teachers. This process is coined Inclusive R&D, and when done effectively, it can reduce the total number of R&D cycles needed to produce effective results and translate those results into practice.
Our team of student data privacy experts help to guide researchers and edtech developers in navigating the necessary legal and compliance documentation (e.g., Privacy Policies, Data Sharing Agreements, Consents, FERPA exceptions for research), including providing templates and incorporating state/district/local specific requirements.
We design and compile real operational or synthetic testbeds that bring together real educational settings and participants, enabling rigorous evaluation of education research and emerging edtech. These testbeds let researchers and developers test, refine, and validate innovations in real or realistic learning environments.
We provide secure analytics environments purpose-built for education research, combining strict privacy and governance controls with flexible compute for a wide range of analytics tasks. These environments can host diverse analytic tooling suites—such as Python notebooks, RStudio, SQL workbenches, and visualization or ML tools—so researchers can safely work with sensitive student data, including PII, while meeting regulatory and institutional requirements.
We offer transition support to translate research outcomes and developed products into real-world practice, helping schools and learning organizations adopt, adapt, and sustain evidence-based innovations. Our support bridges the gap between research and implementation through piloting, stakeholder engagement, and practical integration into learning environments.
Let's discuss how we can support your research and development initiatives with secure, compliant infrastructure.
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