Responsible innovation requires that scientific and other expert practices be responsive to society. We take stock of various collaborative approaches to socio-technical integration that seek to broaden the societal contexts technical experts take into account during their routine activities. Part of a larger family of engaged scholarship that includes inter-and transdisciplinarity as well as stakeholder and public engagement, we distinguish collaborative socio-technical integration in terms of its proximity to and transformation of expert practices. We survey a variety of approaches that differ widely in terms of their integrative methods, conceptions of societal context, roles, and aspirations for intervention. Taking a handful of "communities of integration" as exemplars, we then provide a framework for comparing the forms, means, and ends of collaborative integration. We conclude by reflecting on some of the main features of, and tensions within, this developing arena of practical inquiry and engagement and what this suggests for integrative efforts aimed at responsible innovation.

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Managing the COVID-19 pandemic—and other communicable diseases—involves broad societal uptake of vaccines. As has been demonstrated, however, vaccine uptake is often uneven and incomplete across populations. This is a substantial challenge that must be addressed by public health efforts. To this point, significant research has focused on demographic and attitudinal correlates with vaccine hesitancy to understand uptake patterns. In this study, however, we advance understandings of individual decision-making processes involved in vaccine uptake through a mixed-methods investigation of the role of timing in COVID-19 vaccine choices. In the first step, a survey experiment, we find the timing of vaccine rollout (i.e., when a vaccine becomes available to the respondent) has a significant impact on public decision-making. Not only is there a higher level of acceptance when the vaccine becomes available at a later time, but delayed availability is correlated with both lower levels of ‘desire to wait’ and ‘total rejection’ of the vaccine. In a second step, we explore associated qualitative data, finding that temporal expressions (i.e., professing a desire to wait) can serve as a proxy for underlying non-temporal rationales, like concerns around safety, efficacy, personal situations, or altruism. By identifying these patterns, as well as the complexities of underlying factors, through a mixed-methods investigation, we can inform better vaccine-related policy and public messaging, as well as enhance our understanding of how individuals make decisions about vaccines in the context of COVID-19.