The Community-based Adaptive Leadership Learning Collaborative (CALLCollab)* is a network of educational institutions, community organizations, and individuals. The Collaborative advances adaptive leadership development for more just, inclusive, and sustainable communities.
The CALLCollab does this through several specific mechanisms:
Adaptive Leadership for Resilient Communities – a growing and evolving collection of online learning activities and critical civic tools designed to deepen learners’ understanding of and engagement with adaptive leadership in addressing complex community challenges. The resources include tools that support ethical engagement across cultures and power differentials for learners, researchers, and community organizers.
Mobilizing and disseminating Adaptive Leadership principles – promoting ethical community-institution partnerships and adaptive leadership as guiding principles for training and partnering.
Ongoing learning opportunities and resources for practitioner-scholars – including this website, blog, and events (virtual and in-person) that provide spaces to exchange ideas and mobilize knowledge for leadership and governance.
Current sponsors and partners demonstrate leadership and commitment by investing in this platform as a space to accumulate research and best practices at the intersection of leadership development, community partnerships, and sustainable governance.
Adapted from the Community-based Global Learning Collaborative (www.cbgccollab.org)
Community-based global learning is a term developed by academics and researchers who are also practitioners, and therefore is defined by a set of seven practical components: a) community-driven learning and/or service, b) development of cultural humility, c) global citizenship, d) continuous and diverse forms of critically reflective practice, e) ongoing attention to power, privilege, and positionality throughout programming and course work, f) deliberate and demonstrable learning, g) safe, transparent, and well-managed programs (Hartman et al., 2018).