W21


Sensors, software and data science: Enabling participation in tech-heavy Citizen Science 
Convenors:
Diren Senger (Alfred-Wegener Institute)
Thorsten Kluß (Zukunft - Umwelt - Gesellschaft (ZUG) gGmbH)
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Format:
Workshop

Short Abstract

Many citizen science projects use mobile apps, sensors, or complex data analysis. While technology offers great potential, ensuring inclusive participation requires thoughtful design. This workshop offers an opportunity to share and explore challenges and potential solutions together.

Description

From mobile apps for nature observations to air quality sensors and data analysis using statistics or deep learning—technology is central to many citizen science projects. Sensors, software, and scripts enable the generation of scientific knowledge, but also raise important questions about accessibility and inclusion.

How can we ensure meaningful participation in tech-intensive projects? Are sensor setups user-friendly for those without technical experience? Can observation and metadata collection be made intuitive and accessible? How can software development be inclusive, reflecting the needs and ideas of the full community? How do we ensure that motivation, skills, and ownership are shared among participants? And crucially, how can citizens be empowered to take part in all stages of research—from formulating questions to analyzing and interpreting data?

We also encourage to explore equity-focused challenges: How can we better support the participation of marginalized communities? How can Indigenous knowledge be respected and integrated? How do we address gender imbalances in tech, and support older adults or communities with limited access to technology?

Workshop Structure:

The workshop will consist of two parts:

Small Group Discussions – Participants will share experiences, challenges, and strategies

Collaborative Ideation – We will reconvene to collect actionable ideas and approaches

Our goal is to develop a shared collection of strategies and best practices for enabling participation in tech-based citizen science.

Accepted contributions