AIMS EduData
As the AIMS Collaboratory continues to grow and evolve, new opportunities arise that enable researchers and tech developers to participate in AIMS-related projects and activities. EduData is one of them. Funded by the Gates Foundation, the Advancing Innovative Math Solutions (AIMS) EduData Initiative seeks to build sustainable and scalable research infrastructure to advance math learning.
AIMS EduData especially encourages applications from graduate students and early career professionals, educators with research roles, such as those working in district research offices, and researchers located at minority serving institutions or Title I school districts.
Successful applicants will conduct original research using datasets provided by leading digital learning platforms (DLPs) and participate in a growing community.
Check back here and at Digital Promise in late 2025 for an announcement about the next AIMS EduData funding opportunity.
Benefits for Successful Applicants
Grants of $10,000–$250,000, depending on project needs and readiness
Access to rich datasets including assessments and process data
Career development opportunities
Participation in a dynamic, supportive community of digital learning providers and researchers
Qualifying Research
This opportunity is open to all types of research questions and methods, including exploratory projects, correlational research, measurement, and evaluation studies. Each platform will provide guidance on high-interest research themes and the nature of the available data.
We anticipate that many proposals will explore how this data could power a longer-term research concept. By gaining hands-on experience with the data and building relationships with the platform provider, the successful applicant could be better prepared for subsequent proposals and continued efforts on a research theme that is important to mathematics education.
Participating Digital Learning Platforms
The four participating digital learning platforms (DLPs) are listed below:
Curriculum Associates
openstax
Khan Academy
UF Lastinger Center for Learning, University of Florida
Descriptions of datasets are available here.
This Opportunity is open to:
U.S.-based researchers working for an institution of higher education, a school district, research organization (e.g., a nonprofit) or U.S.-based small business or consultancy.
Partnerships between researchers and educators are welcome.
Emerging researchers (e.g., those who do not yet have many PI roles in funded research) are especially welcome, as career development is one goal of this funding.
Prior to an award, researchers must establish their ability to complete required IRB reviews, MOUs, and data sharing agreements, and to comply with data security requirements.