Today even remote regions are connected to the Internet and data has become the driving factor of decision making in this globalized world. With the help of local inhabitants and cost-effective hardware, scientists can survey, e.g., ecological and economical aspects at high detail by using freely available tools for developing citizen science applications. Moreover, even previously inaccessible regions can be surveyed at high temporal resolution and without disturbing animals by using sensors. Scientific data complemented by such community driven data collection efforts open new opportunities to scale and detail scientific findings. Communities that collect data in such a way contribute to decision making at a much earlier stage and in a better informed manner.
In this course you learn about:
- Theory and practice of citizen science with apps and geosensor networks,
- Challenges and opportunities for democratized science and decision making,
- Tools for citizen science with apps and geosensors.
Students with technical interest can build their own mobile or geosensor-based citizen science app (optional).
Requirements: no formal requirements
The instructor has practical experience in areas of citizen science methods, including sensor networks and mobile apps, and has worked for two years in Sub-Saharan Africa developing mobile apps with students in Rwanda.