SciBeh 2020 Virtual Workshop on "Building an online information environment for policy relevant science"

9-10 November 2020

See the section “Workshop outputs” below for session videos, hackathon products and more.

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Goal

The information environment we need would ensure information that is

  • Rapid: facilitating new research, evidence aggregation, and critique in real-time
  • Relevant: managing information flood while delivering information in contents and formats that match the needs of diverse users, from scientists to policy makers
  • Reliable: generating and promoting high quality content

The workshop brought together an interdisciplinary group of experts and practitioners to help conceptualize, plan and build the tools for such an environment.

Organization team

Outputs

See below for session videos, hackathon products and more.

Session 1.1: Open Science and Crisis Knowledge Management

How can we adapt tools, policies, and strategies for open science to provide what is needed for policy response to COVID-19?


Session 1.2: Interfacing with Policy

How can the wider science community be policy-relevant?


Session 2.0 The Role of Social & Behavioural Science in Pandemic Response

20min session with Martha Scherzer from the World Health Organization: bringing social and behavioural science into COVID-19 and other emergency/outbreak responses (followed by a Q&A-style discussion led by Ulrike Hahn).

Session summary

Martha Scherzer (World Health Organization) is a Senior RCCE Consultant at the World Health Organization, who has worked on tools for behavioural insights on COVID-19 and managing governmental responses.


Session 2.1: Managing Online Research Discourse

In this session, we address the issue of building sustainable, transparent, and constructive online discourse among researchers as well as between researchers and the wider public.


Session 2.2: Tools for Online Research Curation

We look at what has been done in the past year to aggregate and quality-check new information using machine learning and NLP techniques, and ask what is the next step in delivering robust knowledge to those who need it.