Your browser doesn't support javascript.
Cutting through the noise during crisis by enhancing the relevance of research to policymakers
Evidence & Policy ; : 1-18, 2022.
Article in English | Web of Science | ID: covidwho-2123326
ABSTRACT
It is widely recognised that policymakers use research deemed relevant, yet little is understood about ways to enhance perceived relevance of research evidence. Observing policymakers' access of research online provides a pragmatic way to investigate predictors of relevance. Aims and objectives This study investigates a range of relevance indicators including committee assignments, public statements, issue prevalence, or the policymaker's name or district. Methods In a series of four rapid-cycle randomised control trials (RCTs), the present work systematically explores science communication strategies by studying indicators of perceived relevance. State legislators, state staffers, and federal staffers were emailed fact sheets on issues of COVID (Trial 1, N = 3403), exploitation (Trial 2, N = 6846), police violence (Trial 3, N = 3488), and domestic violence (Trial 4, N = 3888). Findings Across these trials, personalising the subject line to the legislator's name or district and targeting recipients based on committee assignment consistently improved engagement. Mentions of subject matter in public statements was inconsistently associated, and state-level prevalence of the issue was largely not associated with email engagement behaviour. Discussion and conclusions Together, these results indicate a benefit of targeting legislators based on committee assignments and of personalising the subject line with legislator information. This work further operationalises practical indicators of personal relevance and demonstrates a novel method of how to test science communication strategies among policymakers. Building enduring capacity for testing science communication will improve tactics to cut through the noise during times of political crisis.
Keywords

Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: Evidence & Policy Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: Evidence & Policy Year: 2022 Document Type: Article