University of Würzburg

University of Würzburg

University of Würzburg - Germany

Steffan-Dewenter is Chair of the Department of Animal Ecology and Tropical Biology at UWUE. He studies the impact of land use intensification, habitat fragmentation and climate change on biodiversity and ecosystem services. His expertise covers biodiversity – ecosystem functioning relationships, pollinator ecology, crop pollination services, biological pest control, evaluation of agri-environmental schemes, data base coordination, global meta-analyses, sustainable landscape management and large-scale field experiments. One focus in his research is honeybee ecology and the management of colonies for sustainable honey production and crop pollination services. More information here.



Doug Sponsler is a behavioral ecologist whose work focuses on the relationships between insects, flowers, and people. He completed his doctoral studies in entomology at Ohio State University, worked as a USDA-NIFA postdoctoral fellow at Penn State University, and is now a postdoc at the University of Würzburg.




Giulia Mainardi is a PhD student (MSc. Environmental Science) at the Department of Animal Ecology and Tropical Biology at UWUE. Her research interests are mainly in Ecology and Ecotoxicology. For this project she will focus on the interaction of the landscape on the behavior and survival of honeybee colonies during the winter.




Andreas Hotho is a professor at the University of Würzburg and holds the Data Science Chair. He is speaker of the new Center for Artificial Intelligence and Data Science (CAIDAS) at the JMU Würzburg. In researching new Data Science methods for very large amounts of data, his group not only has experience in handling data from social media systems with varying degrees of structure, the analysis of text, among other things with a focus on historical novels in cooperation with Digital Humanities or on data from companies, but also works on the processing of sensor data for air pollution and develops new machine learning models for local climate models in cooperation with geography. Furthermore the group models states of bee colonies by analyzing sensor data obtained from smart beehives.


Padraig Davidson is a PhD student (MSc. Computer Science) at the Data Science Chair. His research areas cover time series analysis in general, as well as learning in partially unlabelled data (semi-unsupervised learning). These algorithms are applied to data from beehives within the we4bee project, trying to automatically analyze the beehive’s state and detect anomalous events in these.