The NSF INCLUDES Aspire Alliance is pursuing three mutually reinforcing strategic goals focused on faculty
The overarching strategy of Aspire is to affect change by aligning and reinforcing professional development and hiring practices of STEM faculty at institutional, regional, and national levels.
Together, these efforts are creating a national systemic change environment for STEM faculty.
APLU serves as the home of Aspire’s Backbone team which helps to support our many cooperative partners in coordinating and advancing the collective work of the Alliance and its partners. Contact our backbone team here:
APLU leads the Institutional Change Initiative (IChange). IChange focuses on building the capacity of current and future institutional leaders to improve how institutions look, act, and feel for underrepresented group faculty.
The IChange Network is a community of practice focused on supporting leaders through data-informed, people-focused self-assessment and action planning processes. Our core focus is on institution-wide changes that create the organizational conditions for diverse and inclusive faculty to succeed.
The IAspire Leadership Academy, run out of University of Georgia Cooperative Extension, is a learning community and training experience that helps aspiring leaders who are currently under-represented STEM faculty develop their leadership competencies to advance to administrative positions in the academy.
The IThrive Collective is a community of support for Black, Indigenous, and People of Color (BIPOC) and ally faculty to collectively inform the work of institutional transformation in service of greater diversity and inclusion.
At the core of our IChange efforts is the Institutional Model for Faculty Diversity, developed as part of the APLU INCLUDES Design and Development Launch Pilot. In consultation with our members and subject matter experts, we developed the model and a two-part self-assessment to support institutions in identifying areas for improvement. You can access those tools here.
This material is based upon work supported by the National Science Foundation under Grant No. (1834518, 1834522, 1834510, 1834513, 1834526, 1834521). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.