Keynote Speakers

We are happy to introduce our keynote speakers: Prof. Dr. Martin Raubal, Dr. Linnet Taylor, Prof. Gilberto Câmara and Brendan O’Neill.

Prof. Dr. Martin Raubal

Martin Raubal is Professor of Geoinformation Engineering at the Swiss Federal Institute of Technology (ETH) Zurich. He is also a member of the Energy Science Center at ETH Zurich and a member of the Future Resilient Systems Management Committee at the Singapore-ETH Centre. He was previously Associate Professor and Vice-Chair at the Department of Geography, University of California, Santa Barbara, and Junior Professor at the University of Münster. Martin received his Dr. techn. in Geoinformation from Vienna University of Technology in 2001 with honors. He holds a M.S. in Spatial Information Science and Engineering from the University of Maine and a Dipl.-Ing. in Surveying Engineering from Vienna University of Technology.

Martin’s research interests focus on spatial decision-making for sustainability, more specifically he concentrates on mobile Geographic Information Systems (GIS) & Location Based Services (LBS), analyzing spatio-temporal aspects of human mobility, spatial cognitive engineering, and mobile eye-tracking to investigate visual attention while interacting with geoinformation and in spatial decision situations. Prominent application domains include transportation, energy, and aviation. His group’s research has been funded by various agencies and organizations, such as the EU, National Research Foundation Singapore, U.S. National Geospatial Intelligence Agency, German Research Foundation, Swiss National Science Foundation, Swiss Federal Office of Energy, Federal Office of Civil Aviation, Innosuisse, Swiss Data Science Center, or the ETH Mobility Initiative. Industry partners include Swiss Federal Railways, Esri, HERE Technologies, Swiss International Air Lines, Lufthansa Aviation Training, SERMA, Thales, Swissgrid, ewz, and elia.

Martin’s teaching includes courses on GIS, cartography, geovisualization, location-based services, temporal aspects of GIS, spatial cognition and wayfinding, and research methods. He was Co-Chair of AGILE (Association of Geographic Information Laboratories in Europe) from 2014-19 and he was a board member of UCGIS (University Consortium for Geographic Information Science) from 2008-11. He serves on the editorial boards of Transactions in GIS, Journal of Spatial Information Science, Journal of Location Based Services, Spatial Cognition and Computation, Annals of the AAG, and Geography Compass. Martin was the General Chair of the 14th International Conference on Location Based Services in 2018. In 2008 he won the U.V. Helava Award. He has authored and co-authored 200 books and research papers published in refereed journals and conference proceedings.

“Spatial decision-making for sustainability”

Our planet is in dire straits. Several of the United Nations' Sustainable Development Goals address problems resulting from climate change and rising greenhouse gas emissions. The constant growth of urban mobility and transport has led to a dramatic increase in these emissions. In order to ensure livable environments for future generations, it will be necessary to reduce our CO2 footprint. Spatial decision-making fueled by spatial data science contributes to this effort in major ways, supported by recent progress regarding the availability of spatial big data, computational methods and geospatial technologies. This presentation will demonstrate why spatial decision-making is essential for sustainability and how spatial data science provides methods to perform large-scale spatio-temporal analyses of mobility patterns as well as geospatial technologies for changing people's mobility behavior. Examples will cover movement data analysis within the context of multi-modal and energy-efficient mobility, smart charging of electric vehicles, and mobile decision-making support.

Linnet Taylor

Dr. Linnet Taylor is Professor of International Data Governance at the Tilburg Institute for Law, Technology, and Society (TILT), in the Netherlands. Her research focuses on digital data, representation and democracy, with particular attention to transnational governance issues. Her work on group privacy and data justice is used in discussions of technology governance in countries around the world. She leads the ERC Global Data Justice project, which aims to develop a social-justice-informed framework for governance of data technologies on the global level. The research is based on insights from technology users, providers and civil society organisations around the world. Her work is also currently supported by the Luminate foundation and the EU AI Fund. She is a member of the Dutch Young Academy (De Jonge Akademie) and a co-chair of the NWO’s Social Science roundtable advisory group.

“The God’s eye view? Geospatial data, power and politics”

Since the 2010s there has been a shift in the nature and quantity of digital data on social processes flowing into both research and policy. Much of this data stems from sensing and monitoring through GIS and related technologies, whether using people themselves as sensors (as with mobile phone location data) or using classic forms of sensing in new ways (such as satellite data for migration monitoring, or social media data for development policy). New forms of data such as those stemming from fintech, from ID systems around the world, and other sources promise to broaden the uses and potential abuses of people’s digital traces. The new data provides what Pentland (2012) has termed ‘the god’s eye view’ – but to whose benefit, and in whose interests? There are two views on this in the world of research. First, do the new sources provide better-quality data, do they add something to the analysis of social phenomena, can they enable policy and research to do a better job of serving society? The second view asks how these data sources become available, whose interests they serve, and what this means for their legitimacy, and the legitimacy of research and policy based on them. This presentation will explore the tensions between these two views, and ask how these new sources of geospatial data interact with questions of rights, ethics and politics.

Prof. Gilberto Câmara

Prof. Gilberto Câmara is a researcher on Geoinformatics and Land Use Change in Brazil's National Institute for Space Research, where he was General Director (2006-2012). He is renowned for promoting free access to geospatial data and for setting up an efficient satellite monitoring of the Brazilian Amazon rainforest. He was Director of the Secretariat of the Group on Earth Observations (GEO) from July 2018 to June 2021. He is a Dr. Honoris Causa by the University of Münster (Germany), a Chevalier de la Ordre National du Mérite of France, and received the Pecora Award from USGS and NASA.

“Satellite Image Time Series Analysis for Big Earth Observation Data”

This presentation describes sits, an open-source R package for satellite image time series analysis using machine learning. It supports the complete cycle of data analysis for land classification. Its API provides a simple but powerful set of functions. The software works in different cloud computing environments. Satellite image time series are input to machine learning classifiers, and the results are post-processed using spatial smoothing. Since machine learning methods need accurate training data, \sits includes methods for quality assessment of training samples. The software also provides methods for validation and accuracy measurement. The package thus comprises a production environment for big EO data analysis.

Brendan O'Neill

Brendan O'Neill has been a member of Esri’s Nonprofit and Global Organizations team for 5+ users and supports institutions like the World Bank, World Food Programme, the Food and Agriculture Organization, United Nations Refugee Agency (UNHCR), and USAID among others. Brendan focuses on helping develop and implement geospatial strategies at these institutions. Prior to working on the NGO team, he worked with Esri's education outreach team where he focused on modernizing GIS curricula and developed Do-It-Yourself Geo Apps, a Massive Open Online Course that has instructed over 20,000 students to date. Brendan is also an adjunct instructor at Johns Hopkins University and holds a B.A. from the University of Virginia, an M.A. from King's College, London, and an MSc. from Lund University.

“Geographic Information Systems in the Humanitarian and Global Development Communities”

Geographic information technology has evolved rapidly in recent years but challenges in designing systems and solutions that meet the increasingly complex needs of humanitarian and development organizations persist. In this keynote he will discuss trends and challenges that face the United Nations System and international NGOs in effectively making use of the latest developments in geospatial technology. Brendan will also present solutions that despite these challenges have succeeded in positively impacting outcomes in areas such as food security, mine action, disaster response, and climate change resilience.

Workshop Leaders

Our workshop leaders will also play an important role during GeoMundus 2021. We have the pleasure to have on board: Dr. Thomas Bartoschek and Mario Pesch with the workshop "Environmental Citizen Science with senseBox and openSenseMap", and Pedro Cabral, Felipe Campos and João David to introduce "Open data and models for mapping ecosystem services".

Environmental Citizen Science with senseBox and openSenseMap

In this workshop participants will learn about environmental citizen science using the modular sensor platform senseBox and the open citizen science data infrastructure openSenseMap. The senseBox is a DIY Citizen Science toolkit for local and mobile measurement of environmental data such as temperature, humidity, air pressure, illuminance, UV light or air quality. It can be connected to the internet via WiFi, Ethernet or LoRa to enable Internet of Things capabilities in a sensor network. Local workshop participants will build and code measurement devices on several environmental phenomena and collect data around the campus. Remote participants will learn to access and analyze data from the openSenseMap through its APIs and other external tools. At the end environmental geodata from the local experiment will be analyzed by the whole group. We will round up with a discussion on the potential of the senseBox and openSenseMap in research projects and for educational purposes in secondary and higher education, while focusing on the data and computational, scientific and spatial literacy.

Dr. Thomas Bartoschek

Dr. Thomas Bartoschek is a postdoctoral researcher at the Institute for Geoinformatics, University of Münster and Co-Founder and CEO of the edtech Start-up re:edu since 2018 and of the non-profit openSenseLab since 2021. Thomas holds a PhD in Geoinformatics he received from ifgi in 2017. His research interests are in geotechnologies for spatial learning, human computer interaction, citizen science and digital education in general. During his career he investigated and developed various technologies for citizen science and digital learning with senseBox being the most prominent. He has experience in leading various research projects on a national level and received several awards for his work, most relevant the ACM Eugene Lawler Award for Humanitarian Contributions within Computer Science and Informatics in 2013.

Mario Pesch

Mario Pesch is a research assistant and PhD candidate at the Institute for Geoinformatics, University of Münster. Mario holds a Master of Education for chemistry and geography but started to get into computer science education during his studies. Since 2014 he is part of the senseBox team and is developing the graphical learn- and programming environment. His main research interest is in teaching computational thinking with GI-Technologies.

Open data and models for mapping ecosystem services

Ecosystem services (ES) are the benefits provided to humans by the natural environment, such as clean air, natural pollination, drought regulation, food from agriculture, climate regulation, etc. Providing Information about ES for decision-making is essential to preserve their supply and, consequently, their benefits to society. Making these services visible through the mapping of biophysical, social and economic indicators enables understanding of potential trade-offs and the design of conservation strategies. The provision of ES is influenced by land cover changes (LCC) and efficient land use planning is required for maintaining ES flow. Land use planning can be supported by ES-based modelling tools to estimate ES supply based on land cover. In this workshop we explore available open data and models which can be used for ES modelling and mapping. A hands-on exercise using an InVEST model will be carried out.

This workshop will provide a perspective on existing open datasets and models to work with ES. It will also promote the importance of the ecosystem services concept for sustainability and human well-being through the results obtained for FCT ASEBIO project (PTDC/CTA-AMB/28438/2017, In the end of this workshop, participants will:

Dr. Pedro Cabral

Dr. Pedro Cabral is Associate Professor with Habilitation at NOVA IMS. He got a PhD Applied Mathematics to Social Sciences at the École des Hautes Études en Sciences Sociales (EHESS), Paris, France. He was a post-doc Researcher at UMR AMURE (Ifremer-UBO, Brest) where he worked in marine and terrestrial ecosystem services. His research interests are Ecosystem Services and Geographical Information Systems. He has published in academic journals, such as Ecosystem Services, Marine Policy, Land Use Policy, Journal of Urban Planning and Development (ASCE), Computers, Environment and Urban Systems, Environmental Development, Natural Hazards, Int. Journal of Disaster Risk Reduction, Canadian Journal of Remote Sensing, among others. He is associate editor of the Journal of Urban Planning and Development (ASCE) since 2011. Recently, Pedro is leading projects related to Ecosystem Services (ASEBIO - funded by FCT) and open educational contents related to applied geomatics to social and environmental issues (GEONATURA - Funded by Erasmus+).

Dr. Felipe Campos

Dr. Felipe Campos is a Postdoctoral Researcher at the NOVA Information Management School (NOVA IMS). He got a PhD in Biodiversity at the University of Barcelona, awarded with International Mention, Cum Laude and the UB Extraordinary Doctoral Prize 2017/2018. In 2017, he was awarded by the Spanish Association of Terrestrial Ecology (AEET) National Prize for ecology research projects led by young researchers. His main lines of research are Ecology, Evolution and Conservation, focused on Biodiversity and Ecosystem Services. He also contributes as a reviewer for several top-ranking journals, such as Biodiversity and Conservation, Journal of Environmental Management, Journal of Cleaner Production, Science of the Total Environment, Journal of Biogeography, among others. Currently, he is working on the FCT project ASEBIO – Assessment of Ecosystem Services and Biodiversity in Portugal.

João David

João David is a researcher in the ASEBIO project - Assessment of Ecosystem Services, Biodiversity, and Well-Being in Portugal. At NOVA IMS he teaches Geospatial Analytics, Geospatial Intelligence, GIS Applications and GIS Modelling courses. His research interests are Earth Observations, Ecosystem Services and Geographical Information Systems and Science. His favourite topics are sustainable development, open data; data visualization; imagery interpretation and classification; Land Cover Land use; spatial modelling and spatial regression.