1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
This listing may be outdated. Verify details at the official source before applying.
Find similar grantsMiGreatDataLake is sponsored by Michigan Department of Education (MDE) / Copper Country ISD. The MiGreatDataLake initiative aims to centralize and streamline the collection, analysis, and sharing of student data to improve operational efficiency, decision-making, and personalized learning strategies for Michigan schools.
Get alerted about grants like this
Get emailed when new opportunities from “Michigan Department of Education (MDE) / Copper Country ISD” or related funders appear. Free, weekly, unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
MiGreatDataLake - Projects - MAISA We are very excited to share a consolidation of services grant opportunity around student data and new technologies that will provide a direct lens into the whole child for our educators and teachers. We are calling this initiative MiGreatDataLake. This is an extension of the MiDataExchange work we started six years ago.
MiDataExchange is the data system that uses our MiRead and MiEWIMS systems to populate data from the student information systems. This project will give us the resources and expertise to modernize and greatly improve those systems and to build others together. The Consolidation of Services grant award is for $13.
5m. Copper Country ISD is the fiscal agency. A data lake is a centralized repository that allows organizations to store vast amounts of raw, unstructured, and structured data in its native format until needed.
Unlike traditional databases, which are often designed with specific schema requirements, a data lake is more flexible. It can handle diverse types of data, such as text, images, videos, and more. A data lake with integrated natural language processing offers a powerful solution for improving educational outcomes by making data more accessible and actionable for educators, parents, students, and the community.
This architecture promotes more informed decision-making and enhances overall engagement and support in the educational environment. In an educational context, a student data lake can be immensely beneficial for enhancing educational outcomes and operational efficiency. Expand the options below to learn why.
A student data lake can integrate data from multiple sources, including academic records, behavioral data, attendance, assessments, and more. This provides a holistic view of student performance and needs. Natural Language Queries for Educators Educators can use natural language processing (NLP) tools to interact with the data lake.
For example, a teacher could ask, “Which students need additional help with math? ” and receive actionable insights based on the data. This can help educators quickly access relevant information and make data-driven decisions without needing advanced technical skills.
Enhanced Reporting and Insights The ability to query data in natural language simplifies generating reports and insights. Educators can explore trends, identify issues, and track progress with ease. Community, Parents, and Student Engagement Natural language interfaces can empower parents, students, and community members to interact with the data lake.
Parents might inquire about their child's performance or upcoming events, while students could check their grades or seek feedback on their progress. This transparency fosters greater engagement and communication between schools and stakeholders.
Tailored Support and Resources By analyzing data from various sources, schools can tailor support and resources to individual student needs, identifying areas where additional interventions or resources might be required.
Efficiency and Accessibility Natural language queries make data more accessible to non-technical users, enabling more people within the educational ecosystem to leverage data insights without needing specialized training.
The purpose of the MiGreatDataLake Advisory is to bring together stakeholders from across the state to ensure diverse representation, reflecting the varied geography, use cases, and perspectives within the educational community. Project Director, MiGreatDataLake Project Development Director
According to the current listing, eligibility includes: Intermediate School Districts (ISDs) in Michigan, with Copper Country ISD as the fiscal agency. Confirm the full requirements in the official notice before applying.
The current listing shows $13,500,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
MiGreatDataLake is funded by Michigan Department of Education (MDE) / Copper Country ISD. Verify program details on the funder's official page before applying.
This opportunity targets applicants in Michigan. If your organization operates elsewhere, check the official notice for location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Educational Technology, Media, and Materials for Individuals with Disabilities Program (Stepping-up Technology Implementation competition) is sponsored by U.S. Department of Education. This program aims to improve results for students with disabilities by promoting the development, demonstration, and use of technology; supporting educational activities of value in the classroom for students with disabilities; providing captioning and video description; and ens…
The Robotics Grant Program is a grant from the Alabama State Department of Education (ALSDE) that funds school-based robotics programs for elementary, middle, and high school students. Awarded through a competitive application process, the program provides up to $3,500 to eligible local education agencies (LEAs) in Alabama. Applicants must be public school systems submitting on behalf of schools with K–12 students. The grant supports the purchase of robotics equipment and program development aligned with AMSTI guidelines. Applications are submitted online through the AMSTI Robotics Grant portal. The Fiscal Year 2026 application deadline was September 30, 2025. Questions should be directed to robotics@amsti.org. The program is managed by the Alabama State Department of Education under State Superintendent Eric G. Mackey.
NSF's Faculty Early Career Development Program — the CAREER award — has a July 22, 2026 deadline, a $400,000 floor, a five-year runway, and roughly 500 awards a year across every directorate. It is the most prestigious grant a pre-tenure scientist can win, and the one most often lost on the integration requirement rather than the research. Here is what the award actually funds, who is eligible, and how to build a proposal that treats research and education as one program instead of two.
Read articleThe NSF CAREER award puts a minimum of $400,000–$500,000 over five years behind a single untenured faculty member, and it is the credential that shapes a research career. Here is who is eligible, why the integration of research and education is the criterion that decides it, and how to approach the July 22, 2026 deadline.
Read articleThe Department of Education's IES SBIR program is one of the most overlooked non-dilutive funding sources for education-technology startups. It funds prototypes at $250K and proven products at $1M with no equity taken. Here is how the FY2026 tracks work, what reviewers reward, and why the June 29 deadline is tighter than it looks.
Read article