Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Scientific conferences, socialization, and the Covid-19 pandemic: A conceptual and empirical enquiry

Harry Collins, Willow Leonard‐Clarke, Will Mason‐Wilkes

Social Studies of Science · 2023

Read source ↗ All evidence

Summary

Drawing on social studies of science, this paper contrasts two conceptual models of scientific communication: the algorithmical model (emphasising information transfer) and the enculturational model (emphasising socialisation into scientific communities). The authors argue that whilst remote platforms might seem to address the logistical and environmental costs of in-person conferences, the enculturational perspective suggests that abandoning face-to-face interaction would undermine the development of cross-national trust and mutual agreements essential to scientific progress and democratic governance. The paper provides both theoretical analysis and empirical evidence against proposals for permanent wholesale replacement of conferences with virtual alternatives.

UK applicability

The findings are applicable to UK science governance and funding policy, particularly regarding research council priorities and university strategies for supporting early-career scientists' networking and professional development. The argument has implications for UK climate goals, as it challenges the assumption that virtualisation of conferences is a straightforward environmental win.

Key measures

Comparative analysis of algorithmical versus enculturational models of scientific communication; examination of conference attendance and remote interaction patterns during Covid-19 pandemic

Outcomes reported

The study examined the theoretical and empirical implications of replacing in-person scientific conferences with remote communication platforms, exploring sociological models of scientific communication and their relationship to scientific practice and democracy.

Theme
Policy, governance & rights
Subject
Other / interdisciplinary
Study type
Research
Study design
Narrative review with empirical enquiry
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Other
DOI
10.1177/03063127221138521
Catalogue ID
SNmok6mjy7-7dhxeh

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.