The AERA Grants Program provides advanced graduate students with research funding and professional development and training.
The program supports highly competitive dissertation research using rigorous quantitative methods to examine large-scale, education-related data.
The aim of the program is to advance fundamental knowledge of relevance to STEM policy, foster significant science using education data, and build research capacity in education and learning.
Since 1991, this AERA Program has been vital to both research and training at early career stages.
The Grants Program is open to field-initiated research and welcomes proposals that:
- Develop or benefit from advanced statistical or innovative quantitative methods or measures.
- Analyze more than one large-scale national or international federally funded data set, or more than one statewide longitudinal data system (SLDS) or incorporate other data enhancements.
- Integrate, link, or blend multiple large-scale data sources. undertake replication research of major findings or major studies using large-scale, federally supported or enhanced data.BudgetAwards for Dissertation Grants are up to $25,000 for 1year projects.
Eligibility Criteria for AERA Call for Dissertation Grant Proposals in USA
- Dissertation Grants are available for advanced doctoral students and are intended to support the student while analyzing data and writing the doctoral dissertation.
- Proposals are encouraged from the full range of education research fields and other fields and disciplines engaged in education-related research, including economics, political science, psychology, sociology, demography, statistics, public policy, and psychometrics.
- Applicants for this one-year, non-renewable award should be advanced doctoral students at the dissertation writing stage, usually the last year of study.
- Applicants may be U.S. citizens or U.S. permanent residents enrolled in a doctoral program.
- Non-U.S. citizens enrolled in a doctoral program at an U.S. institution are also eligible to apply.
- Under-represented racial and ethnic minority researchers as well as women, individuals with disabilities, and veterans are strongly encouraged to apply.