The Texas Comprehensive Center collaborated with the Texas Education Agency to implement and sustain a systemic approach for the ASEP. The aims of the project were to create a reporting system that is useful to a broad audience in the state and engage in best practices for data management, analysis, and reporting.

AIR is partnering with Fisk and Vanderbilt Universities to research and disseminate information about the Fisk-Vanderbilt Master’s-to-PhD Bridge Program, an initiative that supports diversity and inclusion in STEM (science, technology, engineering, and mathematics) postsecondary programs. The overarching goal of this grant is to generate and share knowledge about best practices to promote broad participation of students who are underrepresented within the higher education community.

AIR is providing support for the Longitudinal Studies Branch, which is responsible for the design and operation of three national early childhood cohort studies and several longitudinal studies of middle school, high school, and postsecondary students. AIR is providing support across the full range of design and reporting activities associated with the major data collection projects and statistical studies, including study development, cognitive laboratory work, field test and national data collection activities, review of data files and data documentation, report review and development, outreach, user support, and training activities.

The purpose of this evaluation is to gather formative feedback about the Association for the Sciences of Limnology and Oceanography Multicultural Program (ASLOMP) and its components, as well as to assess participants' short-term outcomes (e.g., self-efficacy).

AIR, in collaboration with IMPAQ, is designing and building a borrower-based dynamic microsimulation model of the repayment of federal student loans for the Cost Estimation and Analysis Division of the U.S. Department of Education's Office of Budget Services. This work will help the Department better estimate the costs and consequences of student loan debt for a wide array of student populations, as well as understand the impact of potential policy changes on loan program costs and student outcomes.