Jakob Schwalb-Willmann is a researcher and lecturer at the University of Würzburg with an academic background in Earth observation, spatial data science and Geography. His research focuses on the machine-learning-driven analysis and exploitation of integrated animal movement tracking and remote sensing data for geoanalytical applications. He has extensive experience in using and developing Open Source software tools for the analysis of satellite imagery and geo-spatial data.
https://jakob.schwalb-willmann.de https://twitter.com/schwalbwillmann
https://github.com/16eagle

Brigitta Keeves is the coordinator of the Animove Workshops. Brigitta is responsible for overseeing  all communication and ensuring the smooth operation of the workshop. She coordinates all teaching activities and tutors, as well as manages our e-learning platform. As the first point of contact, Brigitta is here to help you with any questions or support you may need.

Michael Noonan is a quantitative ecologist with more than a decade of research experience across 3 countries and 5 institutions. He leads the Quantitative Ecology Lab at the University of British Columbia, Okanagan, which is focused on the statistically efficient integration of ecological data into evidence-based conservation. The lab’s work is structured around two separate, but complementary, lines of research. The first falls under an umbrella termed ‘Biology or bias’, and is aimed at developing novel statistical methods, understanding when/why different analytical approaches lead to differing conclusions, and how to avoid estimation bias. The over-arching theme of this work is to demonstrate how the use of biased estimators and/or incorrect statistical procedures can generate misinformative results that weaken both ecological theory and evidence-based conservation initiatives. The second focuses on macro-ecology and species conservation by pairing high quality data with cutting edge analytical tools.

Martina Scacco is a postdoc in the Animal-Environment Interactions lab at the Max-Planck Institute of Animal Behavior.
She is particularly interested in how, and to what extent, the environment affects the movement patterns of different species and their cost of transport through the landscape.
Through studying large-scale movements of soaring birds who are dependent on the support of atmospheric uplifts, she is able to compare the interplay of flight behavior, energy expenditure and environment across different species, to evaluate to what extent different morphologies can define their degree of dependence on the landscape and potentially their differential sensitivity to changes in the environment.

Thomas Müller studies theoretical and applied aspects of movement- and wildlife ecology, from the behavioral underpinnings and social interactions to ecosystem functions and macro-ecological patterns. He is particularly interested in understanding the interactions between moving animals and their environment and the exceptional challenges that an increasing human footprint poses for movements of wildlife, which ultimately leads to the question of human-wildlife coexistence.

https://www.senckenberg.de/en/institutes/sbik-f/movement-ecology-and-biodiversity-conservation/

Chloe Bracis is a postdoc in the TIMC/MAGe group at Université Grenoble Alpes. She works on modeling a diverse range of biological processes from infectious diseases to animal movement. In movement ecology her research has focused on how animals make decisions about where to move and then carry out these movements, including questions related to cognition, migration, and territoriality, using simulation models across a range of scales and contexts. She has also worked on movement path segmentation and analyzing a trajectory for recursion, or revisits to particular areas.

https://www.researchgate.net/profile/Chloe-Bracis

https://www.timc.fr/chloe-bracis

Kamran Safi is a group leader at the Max Planck Institute for Animal Behavior. His research interests lie in understanding the causes and consequences of biological patterns at various scales and from different perspectives, as well as movement ecology, macro-ecology and macro-evolution. In movement ecology. Kami is interested in relating individual animals to the environmental conditions they operate under to learn the causes and consequences of environmental fluctuation on animal movement across scales. Methodologically he combines and fuses data from the wild, using a wide range of sensors deployed on animals, with remote sensing and other sources of information at large spatial and temporal scales.

Inês Silva is a postdoctoral researcher in the Earth System Science group at the Center for Advanced Systems Understanding (CASUS), located in Görlitz, 
Germany. She has a background spanning animal movement, road ecology and community ecology projects in Southeast Asia and South America. She is particularly interested in how animal movement is influenced by anthropogenic impacts, such as animal-road interactions and wildlife-vehicle collisions, study design and facilitating the uptake of new methods in movement ecology.

https://twitter.com/ecoisilva
https://github.com/ecoisilva

Christen Fleming develops statistical models and software for animal tracking data and is the lead developer of the continuous-time movement modeling (ctmm) R package. He is an Associate Research Scientist with the University of Maryland and a Research Associate with the Smithsonian Conservation Biology Institute. He obtained his doctorate in physics from the University of Maryland and his baccalaureate in physics, mathematics and statistics from the University of South Alabama.

https://biology.umd.edu/movement

https://movementoflife.si.edu/analytical-tools/

Elham Nourani is a behavioral ecologist interested in how animals interact with their environment to achieve energy-efficient movement. Her research centers on the ecology of bird flight and migration, with a particular focus on how young birds learn these complex behaviors. By integrating insights from cognitive ecology and the evolution of social learning with advanced tools from movement ecology, she aims to understand the strategies animals use to master specialized skills during early life. Elham is an assistant professor in the Department of Ecology and Evolution at the University of Lausanne, Switzerland.

https://www.unil.ch/dee/en/home/menuinst/research/research-groups/nourani-group.html

Björn Reineking is a quantitative ecologist interested in how environmental conditions shape ecological communities and their dynamics. In movement ecology, he is working on methods such as step selection functions to infer habitat selection from movement tracks. Björn is a researcher at INRAE and based in Grenoble.

https://www.researchgate.net/profile/Bjoern-Reineking

Tal Avgar (he/him) is a quantitative wildlife ecologist with expertise in space-use (movement and habitat selection) ecology, wildlife population biology, animal conservation, consumer-resource interactions, and ecological modeling and biometry. Tal received his PhD from the University of Guelph where he studied the spatial and cognitive ecology of woodland caribou. Tal had since studied a variety of wildlife species in a variety of systems across North America. In September 2022, Tal has left his tenure-track position at Utah State University to join the Wildlife Science Center (Biodiversity Pathways Ltd.) as a senior research scientist, and is now based in Kelowna, BC.

https://scholar.google.ca/citations?user=4o0rUEoAAAAJ&hl=en

Hannah Williams is a group leader at Konstanz University affiliated with the Centre for the Advanced Study of Collective Behaviour and the Max Planck Institute for Animal Behavior. Her research interests lie in understanding the connection between social information use and movement energetics at sub-second scales where movement decisions are made up to larger scale patterns in space-use. She focuses on soaring flight where this relationship is arguably most pronounced, and uses different study systems from paragliding to the largest of soaring birds, to explore individual and collective sensory perception of environmental energy, decision-making in multi-dimensional landscapes, and the effect on collective dynamics. She is an expert in inertial measurement data and combines bio-logging methods with virtual reality experiments and simulation to quantify the value of social information in movement.

hjwilliams.space

twitter: @DrHannahJW

Stefano Mezzini is a PhD student under the supervision of Dr. Michael Noonan at the University of British Columbia Okanagan. His thesis aims to understand how animals respond to stochastic changes in resources, with a focus on how terrestrial mammals’ spatial needs are affected by resource abundance and stochasticity. Stefano has experience in statistical modeling, animal movement, spatial ecology, paleolimnology, and lake ice phenology.

https://github.com/StefanoMezzini

Natasha is a statistical ecologist interested in animal movement and habitat selection modelling. She primarily works on step selection functions and hidden Markov models to analyse the resource preferences and behaviour of animals. Natasha is currently completing her PhD in statistics at Dalhousie University, and has master’s degrees in ecology (University of Alberta) and statistical ecology (University of St Andrews).

Elie Gurarie is a professor of wildlife ecology at the State University of New York – College of Environmental Science and Forestry (SUNY-ESF). He is interested, broadly, in the mechanisms by which non-human animals navigate and thrive (or fail to thrive) in spatially complex and temporally dynamic environments. To that end, he strives to unify spatial and movement ecology with population and community ecology and develops novel methodological tools and occasional theory. With an eye both on fundamental questions in ecology and highly applied problems in conservation, he also works on braiding multiple forms of knowledge.