Key research themes
1. How can citizen science and sensing technologies enhance environmental monitoring and data collection for natural resource management?
This research area investigates the integration of citizen involvement and technological tools for enhanced environmental data gathering, addressing challenges such as spatial data gaps, real-time sensing, and public participation. It matters because traditional monitoring often lacks spatial and temporal resolution and can be cost-prohibitive, while citizen science supplemented by sensing technology offers scalable, cost-effective, and socially inclusive alternatives that can inform better resource management and environmental protection decisions.
2. What are the scientific credibility and data quality challenges in citizen science, and how can they be addressed to ensure rigorous scientific outcomes?
This theme centers on assessing the reliability, validation, and scientific impact of data produced by citizen scientists. It explores issues around data quality, peer-reviewed publication outputs, methodological rigour, and acceptance of citizen science within formal scientific communities. Understanding and improving these challenges is essential for integrating citizen-generated data into mainstream research, policy-making, and long-term monitoring frameworks.
3. How do social participation, learning, and co-creation dynamics shape the design and impact of citizen science in environmental sensing?
This theme examines the roles of motivation, education, collaborative methodologies, and participatory design in citizen science, particularly where sensing technologies are involved. It addresses how citizen engagement influences data collection quality, knowledge exchange, empowerment, and science-policy interface. The research also evaluates the historical evolution of citizen participation and how co-creation methodologies contribute to scientific and societal outcomes.