Chapter 2 Overview

Doing science in a world wracked by crises like climate change and COVID shifts public engagement efforts from vague commitments into urgent and personal practice. Unfortunately, for many researchers, neither the incentives for nor the impacts of broader impact efforts feel adequate to the global importance of such work (Rose, Markowitz, and Brossard 2020). This mismatch is complicated by the persistence of ‘deficit model’ approaches to science communication (Nadkarni et al. 2019), problematic assumptions about audiences, and the precarious nature of academic careers. Together, they produce a deficit-scarcity mindset: researchers feel increasingly troubled by public discourses, they experience frustration and/or helplessness with their inability to meaningfully shift those debates, and most of all, they feel there is no time for any work beyond the all-consuming need to produce scientific publications. To foster meaningful, impactful broader impacts work, we must therefore help researchers rebuild their sense of self-efficacy and strategic clarity.

The open science movement offers us inspiration (Lowndes et al. 2017). By unlocking multiple pathways for inclusive interactions with diverse groups of people along the entire research process, open science practices reduce delays and obstacles between knowledge production, sharing, and refinement. To date, most of the communication tools developed for open science focus on technical mechanics for the visual display of information and of sharing data and methods (Wickham and Grolemund 2017). The relational aspects of community building, as well as the strategic aspects of engagement, are largely disconnected from the tactical dimensions of information transfer. We think this represents an exciting opportunity.

To address priority 5: “Using evidence-based inclusive science communication principles in research impacts activities,” we propose an extensible, self-guided, and scalable framework for strategic communication and engagement. We are calling this framework \(P^3 = PEOPLE, Products, and Pathways\). The term “PEOPLE” doubles in meaning here as an acronym for Points of Engagement Or Points for Leveraging Engagement. We do so to emphasize the relational aspect of our proposed framework. This project is a collaboration between Dr. Francisco Guerrero and Liz Neeley, and and it is primarily focused on synthesis, with some new scholarship.

Our framework is inspired by Communication Infrastructure Theory as it describes the conditions that enable collective action for common purpose (Kim and Ball-Rokeach 2006). For infrastructure, we think of everyone and everything that a community needs to produce and support the rapidly expanding set of communication Products (data visualizations, interactive applications, web content managers) that are continuously opening new Pathways for sharing ideas and insights (MacArthur et al. 2020).Together, PEOPLE, Products, and Pathways constitute the core of a communication infrastructure that builds community and can achieve broader impacts if combined with science communication principles and practices.

Our \(P^3\) framework will guide users through a series of nested iterations of the engagement cycle (Nadkarni et al. 2019), and help them connect their impact identities as individuals to their broader impact activities as research teams or labs (Risien and Storksdieck 2018). By providing an evidence-based guide and supporting structures for exploring their options, creating valid theories of change, and iterating on their strategies, we hope that our approach will shift our users’ thinking toward strategic, collective action. Such work should enhance both their perceived and real-world efficacy.

Our primary audiences are leaders of academic labs and anyone who is writing broader impact strategies, lab managers who oversee daily operations, and others who are focused on the praxis of broader impacts. We center these audiences because they wield institutional and positional power: they tend to create the systems and cultures that determine what actually happens within academic communities.

We embrace the universal communications rule of meeting our audience where they are, so we will approach the work using the software tools research labs are using to analyze, visualize, and share data. We will develop and pilot the \(P^3\) framework as an Rmarkdown project that will be stored on GitHub and published with BOOKDOWN. Our work will begin with creating the initial framework and workflow. We will then create the structures for curating resources to support decision-making at each step. Our initial product will address questions in our shared areas of skill, like how to use open-source code to support training, how to create narratives that welcome underrepresented communities, and how to share data to build and enhance partnerships.In each case we will highlight the PEOPLE involved in effective engagements, and the Products (i.e. messages + assets) that are often exchanged resulting in open Pathways (i.e. long-lasting interactions).

References

Kim, Yong-Chan, and Sandra J. Ball-Rokeach. 2006. “Civic Engagement From a Communication Infrastructure Perspective.” Commun Theory 16 (2): 173–97. https://doi.org/10.1111/j.1468-2885.2006.00267.x.
Lowndes, Julia S. Stewart, Benjamin D. Best, Courtney Scarborough, Jamie C. Afflerbach, Melanie R. Frazier, Casey C. O’Hara, Ning Jiang, and Benjamin S. Halpern. 2017. “Our Path to Better Science in Less Time Using Open Data Science Tools.” Nat Ecol Evol 1 (6): 0160. https://doi.org/10.1038/s41559-017-0160.
MacArthur, Brenda L., Laura A. Lindenfeld, Elyse Aurbach, Bronwyn Bevan, and Todd P. Newman. 2020. “Bridging Science with Society: Defining Pathways for Engagement.” Communication Center Journal 6 (1): 62–78.
Nadkarni, Nalini M, Caitlin Q Weber, Shelley V Goldman, Dennis L Schatz, Sue Allen, and Rebecca Menlove. 2019. “Beyond the Deficit Model: The Ambassador Approach to Public Engagement.” BioScience 69 (4): 305–13. https://doi.org/10.1093/biosci/biz018.
Risien, Julie, and Martin Storksdieck. 2018. “Unveiling Impact Identities: A Path for Connecting Science and Society.” Integrative and Comparative Biology 58 (1): 58–66. https://doi.org/10.1093/icb/icy011.
Rose, Kathleen M., Ezra M. Markowitz, and Dominique Brossard. 2020. “Scientists’ Incentives and Attitudes Toward Public Communication.” PNAS 117 (3): 1274–76. https://doi.org/10.1073/pnas.1916740117.
Wickham, Hadley, and Garrett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 1st edition. Sebastopol, CA: O’Reilly Media.