Reconfiguring behavioral science for crisis knowledge management: We are creating the infrastructure necessary for rapid crisis knowledge management
Putting reconfiguration into action
How collective intelligence can help science communication. A manifesto with examples.
A SciBeh-led research grant project
A practical guide for improving vaccine communication and fighting misinformation, including a continously updated wiki in the background.
Tackling the spread of misinformation one step at a time. A tiktok channel spearheaded by some of our contributors.
On our Twitter account we post stuff. Please liberally mention us using @SciBeh whenever you want to draw our attention to something.
This 15’ video was created in a hackathon during SciBeh’s 2020 Virtual workshop.
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.
(1) Ask the behavioral science community a question; (2) Discuss research; (3) Discuss how we do research.
A practical guide for improving vaccine communication and fighting misinformation.
A SciBeh project.
Get it at: https://sks.to/c19vax
Bringing people together and making things happen
In this workshop, we kickstarted the process of developing a manifesto that establishes the need for collective intelligence in science communication and identifies the tools and methods necessary for its success.
The workshop brought together an interdisciplinary group of experts and practitioners to help conceptualize, plan and build the tools for an online information environment that would facilitate rapid, relevant, and reliable science that is relevant to policy.
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.