BAYSICS - Bavarian Citizen Science Information Platform for Climate Research and Science Communication
Confrontation with the far-reaching consequences of climate change is requiring governments around the world to act and to introduce extensive adaptation and climate mitigation measures within their state’s boundaries. The implementation of such measures within a democratic state such as Bavaria, however, can only be successful if its citizens consider them to be legitimate, reasonable and achievable. Under the slogan "Creating Knowledge - Promoting Perception - Communicating Complexity", the new BAYSICS citizen-science platform thus seeks to create hands-on experiences for select target groups (e.g. people seeking outdoor recreation opportunities, people affected by pollen allergies, nature-loving citizens, pupils) that will allow for the visualization of climate change effects as a result of observations made within people’s own backyards. Empirical, experimental and theoretical research methods from the fields of natural science, environmental education and environmental sociology, along with modern crowdsourcing media, will be employed to attract a variety of user groups and to spread awareness about climate impacts, adaptation and protection measures.
By use of innovative, technology-driven methods, BAYSICS thus enables a broad involvement of the public in science and research. Its cooperative design and participatory approach create opportunities for inquiry-based learning that help to educate locals about the complexity of climate change within their own communities. Characterized by a combination of scientific and environmental education goals, the joint project will cooperate closely with international, national and regional stakeholder groups including schools, teacher training institutes, NGOs, authorities and companies. BAYSICS will be available to all bayklif projects and, thanks to its open structure, will remain accessible to similar citizen-science projects in Bavaria in the long term.
Prof. Dr. Dieter Kranzlmüller, Leibniz Supercomputing Centre
Prof. Dr.-Ing. Liqiu Meng, Technical University of Munich
Prof. Dr. Annette Menzel, Technical University of Munich
Prof. Dr. Susanne Jochner-Oette, Katholische Universität Eichstätt-Ingolstadt
Prof. Dr. Jörg Ewald, Hochschule Weihenstephan-Triesdorf
Prof. Dr. Wolfgang W. Weisser, Technical University of Munich
Prof. Dr. Ulrike Ohl, University of Augsburg
Prof. Dr. Arne Dittmer, University of Regensburg
Prof. Dr. Henrike Rau, Ludwig-Maximilians-University Munich