Workshop Program

The Workshop will be held virtually from 14:00 to 19:30 (CET), November 2nd, 2021.
All timings are reported according to the CET timezone.


The workshop will be hosted on the Zoom platform, and is open to everybody who wants to follow it. The link is the following: zoom meeting
In order to access the meeting, you need to be registered and have an account on zoom. If you don't have any account yet, you can create a new one for free here .

OPENING     14:00 - 14:10 Ecology meets IT science: reciprocal needs and expectations M. Damiani, F. Cagnacci
KEYNOTE 1 14:10 - 14:50 The Covid-19 Bio-logging Initiative: Studying human–wildlife interactions during the COVID-19 anthropause Christian Rutz
University of St. Andrews
St. Andrews- UK
14:50 - 15:00 Coffee Break
SESSION 1
Chair:
F. Ossi
15:00 - 15:15 Movements in the forest during Covid-19 Lockdown in the Czech Republic: Interaction between  humans and wild boars A. Olejarz, M. Faltusová,  J. Güldenpfennig, V. Silovský, M. Ježek, T. Podgórski
15:15 - 15:30 Spatio-Temporal Clustering Benchmark for Collective Animal Behavior E. Cakmak, M. Plank, D. Calovi, A. Jordan, D. Keim
15:30 - 15:45 Multiscale framework for attraction place identification across human and animal mobility M. L. Damiani, S. Gaito, F. Hachem
15:45 - 16:00 Point cloud Capture and Segmentation of Animal Images using Classification and Clustering J. Petluk, W. Osborn
KEYNOTE 2 16:00 - 16:40 Big Mobility Data to Understand Mobility Changes During the COVID-19 Pandemic in Ontario, Canada Jed Long
Western University
Ontario-Canada
16:40 - 16:50 Coffee Break
SESSION 2
Chair:
F. Hachem
16:50 - 17:05 K-Means for Semantically Enriched Trajectories J. Seep, J. Vahrenhold
17:05 - 17:20 A Time-Series Clustering Algorithm for Analyzing the Changes of Mobility Pattern Caused by COVID-19 Z. Zhang, D. Li, Z. Zhang, N. Duffield
17:20 - 17:35 A time-geographic approach to quantify the duration of interaction in movement data R. Su, S. Dodge, K. Goulias
17:35 - 17:50 Semi-supervised trajectory classification using Convolutional Auto-encoders A. Makris, I. Kontopoulos, E. Psomakelis, K. Tserpes
KEYNOTE 3 17:50 - 18:30 Movement Ecology: Progress, Challenges and Opportunities Ran Nathan
The Hebrew University of Jerusalem
Jerusalem-Israel


PLENARY SESSION

Moderated by: U. Demsar and F. Cagnacci
18:30 - 19:30 Towards an integration of the disciplines: lessons learned and next steps Program committee members & Keynote speakers; open also to all Participants



Keynotes

Prof. Christian Rutz
Professor, Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, UK

The COVID-19 Bio-Logging Initiative: Studying human–wildlife interactions during the COVID-19 anthropause

In 2020, many countries around the world imposed movement restrictions to control the spread of COVID-19, causing drastic temporary reductions in human mobility (‘anthropause’). Brought about by the most tragic of circumstances, these ‘lockdowns’ provide an unprecedented opportunity to gain deep mechanistic insights into human–wildlife interactions. The COVID-19 Bio-Logging Initiative, which was launched by the International Bio-Logging Society (https://www.bio-logging.net) in close collaboration with several partner organisations, uses animal tracking data collected before, during and after lockdowns, and from unaffected (remote or no-lockdown) ‘control’ sites, to investigate wildlife responses to altered levels of human activity during the pandemic (https://doi.org/10.1038/s41559-020-1237-z). It brings together bio-logging researchers, wildlife biologists, conservation practitioners, human geographers, movement ecologists, data scientists and many other experts for large-scale collaborative analyses. Thanks to a phenomenal response from the bio-logging research community, the initiative’s database already contains potentially suitable datasets for ~13,000 tagged animals from >170 species (marine, freshwater, terrestrial, and aerial) across >330 study populations, totalling over 1 billion GPS fixes. Funding from the Gordon and Betty Moore Foundation and the National Geographic Society, and adoption of an inclusive collaboration model, have allowed the development of a strong portfolio of complementary sub-projects, which have commenced with analyses for different taxonomic groups, geographic regions, and research questions. The COVID-19 Bio-Logging Initiative has the potential to bring about a step-change in our understanding of human–wildlife interactions, through the power of data sharing and large-scale collaboration. Comparative analyses of bio-logging data collected during this global crisis will reveal how different animal species cope with (changes in) human disturbance, which in turn will pave the way for developing predictive models and designing innovative, evidence-based conservation interventions.

Bio

Following research as a Rhodes Scholar (DPhil), Junior Research Fellow (Postdoc) and BBSRC David Phillips Fellow (PI) at Oxford, Rutz moved in 2012 to the University of St Andrews where he is now a Professor of Biology. He has long-standing interests in advanced animal tracking technologies (‘bio-logging’), and led the teams that first deployed miniature video cameras (2007, Science) and proximity loggers (2012, Current Biology) on wild birds. Rutz also helped launch the International Bio-Logging Society (www.bio-logging.net), which he is currently serving as Founding President, as well as the COVID-19 Bio-Logging Initiative, which has just been endorsed by the UN Decade of Ocean Science for Sustainable Development. In a comment article last year (2020, Nature Ecology and Evolution), he and his colleagues introduced the now widely-used term ‘anthropause’, and explained how global COVID-19 lockdowns can be used to investigate human–wildlife interactions. His research is regularly published in leading interdisciplinary journals, including six papers to date in Nature and Science, has attracted a string of academic prizes and awards (e.g., 2014 Isambard–Kingdom–Brunel Award of the British Science Association), and was showcased at major public science exhibitions (e.g., 2017 Royal Society Summer Science Exhibition). Rutz held visiting positions at the Universities of Oxford, Tokyo and New South Wales, was a 2019-2020 Radcliffe Fellow at Harvard University, serves as Senior Editor of the leading interdisciplinary journal eLife and as a Member of Faculty Opinions, and is part of a team that advises UNEP on the development of its landmark ‘Bonn Convention’ (CMS).

Email: rutz@st-andrews.ac.uk

Dr. Jed Long
Assistant Professor, Department of Geography & Environment, Western University, London, Ontario, Canada

Big Mobility Data to Understand Mobility Changes During the COVID-19 Pandemic in Ontario, Canada

Big mobile phone datasets can be used to understand broad-scale human mobility patterns. The COVID-19 pandemic has accelerated the use of such data to improve our understanding societal changes in response to government restrictions during the pandemic and to help predict future spread patterns. In this talk, I will highlight the characteristics of different types of mobile phone data commonly used to understand human mobility patterns. To demonstrate how these data are used I explore how changes in mobility were associated with socio-economic factors in Ontario, Canada. I also showcase some new analysis looking at how specific government interventions impacted (or not) observed human mobility patterns.

Bio

Dr Long’s research is in the area of computational movement analysis, more specifically he and his team (geospatial.uwo.ca) focus on the development of new methods for studying movement (human and wildlife), implementing these methods in free and open-source software, and various applications of movement data analysis. Dr Long is particularly interested ways movement data can be combined with other types of geographic data (termed movement data fusion), to contextualize and study observed patterns of movement. His work has also focused on the development of methods to study of interactions in movement data applied in various contexts. Currently, much of his work is focused on methods and models for ‘big mobility data’ collected via mobile phones.

Email: jed.long@uwo.ca
Twitter: @jedalong

Prof. Ran Nathan
Movement Ecology Lab, Department of Ecology, Evolution and Behavior, The Hebrew University of Jerusalem, Israel

Bio

Professor Nathan is an ecologist with deep interest into mechanisms and patterns of organism movement, ecology and evolution of dispersal, spatiotemporal plant population dynamics, seed dispersal, plant-animal interactions with special emphasis on endozoochory and granivory, dispersal biogeography, bird migration, and ornithology. He is considered the founder of Movement Ecology, a new ecological research area where movement research is integrated in a holistic framework. In 2008, he edited a Special Feature on Movement Ecology for the Proceedings of the National Academy of USA, introducing the conceptual and quantitative framework of Movement Ecology. He has co-founded and is Editor in Chief of the open-access journal Movement Ecology. He has also developed a revolutionary wildlife tracking system, ATLAS (Advanced Tracking and Localization of Animals in real-life Systems), a portable, affordable tracking system capable of automatically and simultaneously tracking a large number of small animals (20 grams and less) with high accuracy and high sampling frequency.

Email: ran.nathan@mail.huji.ac.il
Website: http://huji.move-ecol.com/