The analysis of participants in citizen science projects
Abstract
Citizen science involves citizens engaging in research activities in collaboration with researchers, or on their own. It includes activities ranging from collecting everyday data to developing research plans and analysing data. By involving citizens in these research activities, it is possible to increase their contact with science and technology. When considering ways to engage the public with science and technology issues, many people frequently consider activities such as visiting science museums, watching science programs on TV or reading books. Indeed, EU data shows that fewer people participate in citizen science projects than those who use science museums, science television programs or books. However, the current low participation in citizen science suggests potential for future growth. If citizen science were more widespread, more people would be able to engage with science and technology issues. This study explores whether there are barriers to participation in order to increase the number of people taking part in citizen science. Specifically, this study investigated the profiles of citizen science participants to consider whether participants were skewed towards individuals sharing common characteristics, thereby hindering others from participating. The research methodology involved combining EU survey data (Eurobarometer 516 and 557) showing the profiles of citizen science participants with general data provided by the OECD and UNESCO. Correlations were then examined using analytical software. The survey results showed that there were no correlation with the factors that were tested, indicating that all countries have the potential to increase participation in citizen science. It is hoped that specific methods for increasing participation in citizen science will be considered in the future.
Fields of Study & Subjects
Science Education and Perceptions
Geographic Information Systems Studies
Research
Science
and Academia
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 22 January 2026
- Language
- EN