Scope. In the past two decades, many advances have been made in computational movement analysis (CMA) as an important stream of research in GIScience. However, many challenges remain, such as proper incorporation of deep learning in movement data analytics, integration of trajectories with environmental and context data, multi-sensor data integration, scale-adaptive analysis, integration of analytical and visual methods, modeling and simulation of movement in complex coupled human-environment systems, passing from individual to collective movement, combining Lagrangian (GPS) with growing streams of Eulerian movement data (checkpoints, GSM, RFID, passive acoustic arrays for marine wildlife, wildlife camera traps), dealing with massive data in human mobility analytics, incl. privacy and legal considerations, and linking patterns back to behavioral events and processes.

Objectives. This workshop pursues three aims. First, to provide a platform to discuss the state of the art in this domain in the past decade. Second, to discuss the potential of data science methodologies to advance movement analytics in various domains such as human mobility and animal ecology. And third, to identify the key challenges for future research and (re-)define the research agenda towards advancing movement data science.

We invite submissions of short position papers or research papers (1500 words) that describe new research ideas that fit the general theme of movement and mobility analytics, including, but not limited to, the following topics:

• Data science and movement analytics
• Integrated science of movement: converging human mobility and movement ecology research
• From patterns to processes: Context-dependent movement analytics and bridging the semantic gap
• From individuals to collectives: Modeling and analyzing interactions between individuals
• Data fusion: Integrating different sensors (e.g. different positioning sensors and accelerometer or locational data with satellite remotely sensed products) and sensing models (checkpoint sensing vs continuous GPS tracking)
• From analysis to modeling: Simulation of movement and mobility
• Mobility and health
• Big mobility data analytics and predictive modeling
• Visualization and visual analytics in support of movement analysis
• Geoprivacy issues and geomasking methods for mobility data
• Ethics of movement data analytics

We are interested in work dealing with any type of moving object (people, animals, vehicles, virus, goods etc.).

Special Issue

A special feature, with the same scope as the workshop, will be published in the Journal of Spatial Information Science (JOSIS) as an open-access journal “run by and for the benefit of the GIScience community”. Submissions to the special issue may be made by either the workshop participants or others interested in the theme. Participation in the workshop does not guarantee acceptance in the special feature, and all submissions will be submitted to a review process that follows JOSIS standards. The full papers will be due only after the workshop, thus allowing to incorporate feedback and new insights gained at the workshop, and potentially even forming new teams of authors.

Registration Information

Details regarding conference/workshop registration can be found at https://www.giscience.org/registration/. Please note that early registration rates for GIScience end July 30, 2021.

Workshop Organizers

• Somayeh Dodge – University of California Santa Barbara, USA.
• Urška Demšar– University of St Andrews, Scotland, UK.
• Patrick Laube – Institute of Natural Resource Sciences, Zurich University of Applied Sciences, Switzerland
• Katarzyna Siła-Nowicka – University of Auckland, New Zealand.
• Robert Weibel – University of Zurich, Switzerland.

Program Committee

• Natalia Andrienko– Fraunhofer IAIS & City University London
• Maike Buchin– Ruhr University Bochum
• Vania Bogorny– Universidade Federal de Santa Catarina
• Christophe Claramunt– French Naval Research Institute
• Joni Downs– University of South Florida
• Song Gao– University of Wisconsin Madison
• Chaogui Kang– Wuhan University
• Eun-Kyeong Kim– University of Zurich
• Wenwen Li– Arizona State University
• Jed Long– Western University
• Jennifer Miller– University of Texas at Austin
• Harvey Miller– Ohio State University
• Elham Nourani– Max Planck Institute for Animal Behaviour
• Nikos Pelekis– University of Piraeus
• Chiara Renso– ISTI-CNR, Pisa
• Orr Spiegel– Tel Aviv University, Israel
• Ying Song– University of Minnesota Twin Cities
• Kathleen Stewart– University of Maryland
• Martin Tomko– Melbourne University
• Nico Van de Weghe– Ghent University
• Yang Xu– Hong Kong Polytechnic University