Assessing stakeholder understanding of genome editing to inform productive engagement
Project Overview
We are studying how different groups – including policymakers, farmers, scientists, and the public – think about genome editing and agriculture, to help guide future communication strategies.
We are evaluating how different stakeholders view genome editing in agriculture. We are using network science to construct “mental models,” or graphical representations of knowledge networks, of genome editing for four stakeholder groups: the non-expert public, biologists, policymakers, and farmers. Network science examines the relations between components in a system. In general, a system is represented graphically by points or objects, which signify the components, and lines or arrows that denote the relations among components.
In this study, the components are the words or phrases that comprise an individual’s’ mental image of genome engineering. We will collect data using multiple, overlapping approaches, including focus groups, in-depth interviews, surveys, and concept mapping workshops. These data will allow us to empirically construct representations of how each group conceptualizes genome editing in agriculture. This information will guide the scientific community’s engagement strategies by identifying potential points of overlap and disparity with each group.
Principal Investigators
- George Barnett
- Mark Lubell
- Pamela Ronald
Researchers
- Christopher Calabrese
- Jade (Jieyu Ding) Featherstone
- Mateo Robbins
- Brittany Anderton
Publications
Examining the relationship between gene editing knowledge, value predispositions, and general science attitudes among U.S. farmers, scientists, policymakers, and the general public.
Calabrese C, Featherstone JD, Robbins M, and Barnett GA. Journal of Science Communication
Validating sentiment analysis on opinion mining using self-reported attitude scores
Featherstone JD and Barnett GA. IEEE Xplore
The uproar over genome-edited babies: A semantic network analysis of CRISPR on Twitter.
Calabrese C, Ding J, Millam B, and Barnett GA. Taylor & Francis Online
Online representations of “genome editing” uncover opportunities for encouraging engagement: A semantic network analysis.
Calabrese C, Anderton BN, and Barnett GA. Science Communication