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Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset

TISP author collaboration, Niels G. Mede, Viktoria Cologna, Sebastian Berger, John Besley, Cameron Brick, Marina Joubert, Edward W. Maibach, Sabina Mihelj, Naomi Oreskes, Mike S. Schäfer, Sander van der Linden, Nor Izzatina Abdul Aziz, Suleiman Abdulsalam, Nurulaini Abu Shamsi, Balazs Aczel, Indro Adinugroho, Eleonora Alabrese, Alaa Aldoh, Mark AlfanoInnocent Mbulli Ali, Mohammed Alsobay, Marlene Altenmüller, R. Michael Alvarez, Richard Amoako, Tabitha Amollo, Patrick Ansah, Denisa Apriliawati, Flavio Azevedo, Ani Bajrami, Ronita Bardhan, Keagile Bati, Eri Bertsou, Cornelia Betsch, Apurav Yash Bhatiya, Rahul Bhui, Olga Białobrzeska, Michał Bilewicz, Ayoub Bouguettaya, Katherine Breeden, Amélie Bret, Ondrej Buchel, Pablo Cabrera-Álvarez, Federica Cagnoli, André Calero Valdez, Timothy Callaghan, Rizza Kaye Cases, Sami Çoksan, Gabriela Czarnek, Steven De Peuter, Lilian Kojan

Abstract

Science is integral to society because it can inform individual, government, corporate, and civil society decision-making on issues such as public health, new technologies or climate change. Yet, public distrust and populist sentiment challenge the relationship between science and society. To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries. The data were collected between November 2022 and August 2023 as part of the global Many Labs study "Trust in Science and Science-Related Populism" (TISP). The questionnaire contained comprehensive measures for individuals' trust in scientists, science-related populist attitudes, perceptions of the role of science in society, science media use and communication behaviour, attitudes to climate change and support for environmental policies, personality traits, political and religious views and demographic characteristics. Here, we describe the dataset, survey materials and psychometric properties of key variables. We encourage researchers to use this unique dataset for global comparative analyses on public perceptions of science and its role in society and policy-making.

Original languageEnglish
JournalScientific Data
Volume12
Issue number1
Pages (from-to)114
Number of pages1
ISSN2052-4463
DOIs
Publication statusPublished - 20.01.2025

Funding

FundersFunder number
Not addedEP/X042758/1

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure
    2. SDG 13 - Climate Action
      SDG 13 Climate Action

    DFG Research Classification Scheme

    • 1.22-04 Social Psychology, Industrial and Organisational Psychology
    • 1.23-02 Empirical Social Research

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