
Citizen science empowers public participation and trust in research, but successful projects depend on strategic recruitment and sustained community engagement that again depend on available training of Open Science skills. Developed within the EU-funded PATTERN project (Piloting Open and Responsible Activities and Trainings Towards the Enhancement of Researchers Networks), our training module addresses these challenges. PATTERN promotes Open and Responsible Research and Innovation (OpenRRI) through eight training themes, each enhancing transferable skills critical for researchers' professional growth, as outlined in the Salzburg II Recommendations by the European Universities Association. The “Participant Recruitment & Community Engagement in Citizen Science” training module is designed to prepare researchers and coordinators with practical skills and ethical guidance to foster effective public involvement. Building on our comprehensive analysis of existing OpenRRI training resources, it addresses gaps and identifies best practices. Based on a project-based and interactive approach, key elements include: Understanding Participant Motivations: Identifying the values, interests, and knowledge goals that drive citizens to engage in research activities. Ethical Considerations: Exploring ethical principles for inclusive and responsible research participation. Strategic Recruitment Techniques: Developing approaches to reach diverse audiences, including underrepresented groups. Sustaining Engagement: Implementing strategies for continuous participant involvement, feedback mechanisms, and community-building. Our poster will showcase insights from pilot implementation of the module. Pilots are designed to provide insights into the effectiveness and possible improvements of the module in enhancing participant recruitment and community engagement practices.
Open Science, Citizen Science, Community Engagement, Participant Recruitment
Open Science, Citizen Science, Community Engagement, Participant Recruitment
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
