FAIR phenological modelling

Climate change, marked by rising temperatures and escalating droughts, wildfires, and floods, undeniably affects natural ecosystems, human agricultural and economic systems, and health. Plant phenology, studying the timing of life-cycle events such as leafing and flowering, is playing a crucial role in detecting and understanding climate change and its consequences. This workshop will bring together scientists and researchers to discuss the future of phenological studies (application, data, and models). More specifically, the workshop is intended to provide a common ground for better collaboration, alignment, and exchange of knowledge, data, models, and tools around the topic of phenology.  

This workshop will be considered a success if we establish strong multidisciplinary collaborations among participants, a joint understanding and linkages between Machine Learning and biological modelling, and general agreements on a benchmark phenological study (applications, data and models) and a proposal draft. With this landmark workshop, we wish to direct the next decades of phenological model development and provide a research agenda for the incorporation of available advanced Machine Learning algorithms and tools into phenological studies led by the participants and their networks.