7 December 2022; 09:00 UTC
Webinar duration: 90 minutes
Presenters (full bios on website)
· Reija Helenius, Group Leader, Director | Statistics Finland & International Statistical Literacy Project
· Steve MacFeely, Head Statistician | WHO & ISLP
· Walter Radermacher, Professor | Ludwig-Maximilians-University Munich & Chair of the ISI Advisory Board on Ethics & President | FENStatS: “Statistical Awareness Promoting a Data Culture”
· Giulio Sabbati, Head of Statistical and Data Visualisation Support Office | European Parliamentary Research Service: “Statistical and Data Literacy: A Practitioner’s View on Policy-making: How to provide independent, objective and authoritative data and information for policy-making”
· Milo Schield, Statistical Literacy Consultant | University of New Mexico: “Statistical Literacy: Seven Simple Questions for Policymakers”
· Katharina Schüller, CEO & founder | StatUp & Board member | German Statistical Society: “Data and AI Literacy for Everyone”
· Gaby Umbach, Part-time Professor, Robert Schuman Centre for Advanced Studies | European University Institute: “Statistical and data literacy in policy-making”
The webinar is organized by the International Statistical Literacy Project (ISLP), a project that aims to advance statistical literacy worldwide. The webinar is based on the SJIAOS special stream on Statistical and Data Literacy in Policy-Making (Vol 38, No. 2, 2022). As the publication did, the webinar offers conceptual reflections on statistical and data literacy in policy-making. In their presentations, the contributing authors reflect on the relevance of the use of statistics and data in politics and highlight the impact of both on policy-making. They underline the need for statistical and data literacy in policy-making and identify key elements of it. They also elaborate on how statistical and data literacy in policy-making is specific. The individual contributions to the SJIAOS special stream originate from the ISI World Statistics Congress 2021 Invited Paper Session on ‘Statistical and Data Literacy in Policy-Making’.