We are creating the infrastructure necessary for rapid crisis knowledge management
Our goals are to facilitate:
The crisis demands rapid responding, but “fast” is at odds with many of the things that make good science. What we need to be looking for is parts of the process that we can trim without cutting unduly into quality: we need a model of proper science without the drag.
We need to avoid needlessly reinventing wheels, we need meta-analyses, and we need to manage the likely flood of new research. This means a degree of synthesis that goes well beyond the slightly haphazard publication of reviews in normal science.
Developing new tools for knowledge aggregation will help disseminate knowledge, certainly to other researchers. But the nature of the crisis will mean that at least some of this knowledge must be disseminated to policy makers, journalists, or the wider public.
We must learn how to build consensus, shelving theoretical debates that are important to us in “normal science”, but that have little consequence for current action. There will be contexts where legitimate disagreements remain. These cannot be glossed over and should be made known to policymakers.
Putting reconfiguration into action
On our Twitter account we post stuff. Please liberally mention us using
@SciBeh whenever you want to draw our attention to something.
For researchers, policy makers, and journalists: Ask the behavioral science community a question on research relevant to the COVID–19 crisis.
Discuss research from the behavioral sciences (COVID-19 related or more general; e.g., research ideas, experiment designs, discussion of preprints, evaluation of published work, information on past work and discussions of its relevance now, moving from research to policy, and methods and tools).
Discuss how we as a behavioral science community should adapt how we do science for an effective COVID–19 response.
Using hypothes.is, we are annotating a growing knowledge base where you can find a wide range of items ranging from tweets, newspaper and blog articles, reports to preprints and peer-reviewed articles. Please liberally mention us on twitter using
@SciBeh whenever you want to draw our attention to something that could be made part of this knowledge base. To learn more, please see here.
Learn more about our eclectic knowledge base
Overview of the ecosystem of information feeding the knowledge base
Thanks a lot to our awesome annotators!
in alphabetic order:
annotator list last updated: 2020-07-29
“Crisis knowledge management: Reconfiguring the behavioural science community for rapid responding in the COVID–19 crisis”
Hahn, U., Lagnado, D., Lewandowsky, S., & Chater, N. (2020, March 21). Crisis knowledge management: Reconfiguring the behavioural science community for rapid responding in the COVID–19 crisis. https://doi.org/10.31234/osf.io/hsxdk
The present crisis demands an all-out response if it is to be mastered with minimal damage. This means we, as the behavioural science community, need to think about how we can adapt to best support evidence-based policy in a rapidly changing, high-stakes environment. This piece is an attempt to initiate this process. The ‘recommendations’ made are first stabs that will hopefully be critiqued, debated and improved.
Blog posts on our initiative
The people contributing to the SciBeh initiative
in alphabetic order:
contributor list last updated: 2020-07-29