Community-campus engagement (CCE) offers transformative opportunities for collaborative knowledge creation. Over the last few decades, thoughtful energy has gone into identifying the parts of a CCE and then developing tools to study these parts, with discrete focus on community groups, students, and faculty. Bringing a complexity science approach to CCE evaluation can amplify our understanding by capturing the dynamic nature of collaborative interactions that occur between faculty and students and their relationship with community organizations and groups. Our article begins by introducing key features of a complexity science approach that are well suited to address the evaluation of CCE initiatives. We then position CCE within this approach and discuss how key features of complex systems can operate in the context of CCE. These features include a focus on context and initial conditions, dynamic interactions of adaptation and learning that are nested at different scales, and outcomes that emerge and self-organize in unexpected and nonlinear ways. We draw upon the contextual fluidity (CF) practice model that provides a bridge between abstract concepts of complexity science and the very practical world of community engagement. With awareness of context, dynamic interactions, and emergent outcomes, we propose questions that those evaluating CCE may want to consider. Local, place-based knowledge of community groups can enhance the insights and potentially the applicability of knowledge within context (Siemers, Harrison, Clayton, & Stanley, 2015). CCE promotes the democratization of knowledge sources and offers an accessible and multidisciplinary perspective (Tandon, Singh, Clover, & Hall, 2016; Brown et al., 2003). CCE can also assist in capacity building of community groups (Andrée et al., 2014). Evaluating CCE initiatives in a way that can capture the fullness of such potential impacts presents unique challenges (Reeb, et al., 2017; Stoecker, Beckman, & Min, 2010). We suggest that understanding CCE through the perspective of complexity science offers insight into its dynamics and raises questions that can guide approaches to its evaluation. Although CCE may take different forms, including community service learning (CSL), community-based research (CBR), and participatory action research (PAR), we focus in this article on evaluation with CCE as a general term capturing the dynamic nature of the collaborative interactions that occur between faculty and students and their relationship with community organizations and groups. In our experience, many CCEs combine different forms such as CSL with CBR or PAR with CBR (Kahlke & Taylor, 2018). Both authors engaged in a university-wide community service learning initiative that involved 28 faculty members from seven academic faculties with participation of students from 16 diverse disciplines organized around the theme of food security or sustaining access to food. This themed approach to CCE encouraged faculty, staff, and student participation with diverse community groups ...