GeoMundus is a free international Conference organized by students for students. The organizing committee is the students from the Erasmus Mundus Master of Science in Geospatial Technologies. The conference aims to share cutting-edge scientific research, knowledge, and skills in the fields of Geospatial Technologies, Geoinformatics, and Geosciences, including but not limited to geographic information systems and sciences, spatial cognition, geography, and spatial data sciences. Please see Programme Section for more detailed information.
GeoMundus is an opportunity to learn about and share scientific research, knowledge, and skills with other students and researchers of all things ‘Geo’. Every year it will give participants the chance to learn about technological advancements of GI, research activities and applications of geospatial technologies in today’s world. GeoMundus is unique, featuring workshops where participants can experience first-hand the future of the field as well as a career session specially designed for students interested in a geospatial career.
Everyone who is curious about geospatial technologies and their applications. We especially welcome students, researchers, industry leaders, and interested members of the public. It is not only a great opportunity to learn, but also to network with the brightest minds in this exciting field.
Registration is free, so sign up now!
We are happy to introduce our first three key note speakers, Prof. Dr. Paula Moraga and Dr. Gerald Blasch. Please visit their personal websites to find out more about them. Remaining keynote speakers for GeoMundus 2020 will be announced soon! Stay tuned for more information.
Prof. Dr. Paula Moraga is an Assistant Professor
of Statistics at the King Abdullah University of Science and Technology (KAUST) and the Principal Investigator of the Geospatial Statistics and Health Surveillance Research Group. Paula's research focuses on the development of
innovative statistical methods and computational tools for geospatial data analysis and health surveillance, and the impact of her work has directly informed strategic policy in reducing disease burden in several countries. She has developed modeling architectures to understand the spatial and spatio-temporal patterns and identify targets for intervention of diseases such as malaria in Africa, leptospirosis in Brazil,
and cancer in Australia, and has worked on the development of a number of R packages for Bayesian risk modeling, detection of disease clusters, and risk assessment of travel-related spread of disease. Paula has published extensively in leading journals and is the author of the book 'Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny' (2019, Chapman & Hall/CRC). Paula received her Ph.D. degree in Mathematics from the University of Valencia, and her Master's degree in Biostatistics from Harvard University.
KEYNOTE: “Geospatial Data Science for Public Health Surveillance”
Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal patterns, identify risk factors, and measure inequalities. In this talk, Paula will give an overview of her research which focuses on the development of innovative statistical methods and interactive visualization applications for geospatial data analysis and health surveillance.
Dr. Gerald Blasch Gerald Blasch is a Crop
Disease Geo-Spatial Data Scientist at the International Maize and Wheat Improvement Center (CIMMYT). His work focuses on R4D of remote sensing (RS)
and geospatial solutions for large-scale crop disease early warning systems, whereby he explores the potential of UAV-based high-throughput
phenotyping for biotic stresses and satellite-based crop disease detection.
Overall, Gerald has 13 years of research and consultancy experience in (inter)national projects in the agriculture and development sectors of several countries (e.g. Australia, China, Ethiopia, Germany, Mexico, and the UK). As a researcher, he developed RS and GIS tools for precision and conservation agriculture, digital soil mapping, and environmental monitoring during his Post-Doc (Newcastle University, UK) and Ph.D. studies (GFZ German Research Centre for Geosciences, Germany), and consultancy activities (CIMMYT, Mexico). For instance, to optimize farm management, Gerald developed an easy-to-use tool for deriving yield zones in crop production system by applying Spatio-temporal analysis to large yield map time series using image analysis techniques such as pattern recognition and unsupervised learning. As a GIS expert (GIZ German agency of international cooperation, Germany; SEMARNAT, Mexico) he built and managed a GIS for waste management for the Mexican Federal Ministry of Environment and Natural Resources (SEMARNAT).
KEYNOTE: “Wheat Rust Early Warning System in Ethiopia – Using New Technologies to Combat Crop Disease”
Wheat rusts pose a major threat to food security in Ethiopia, with several devastating epidemics in recent history. To help prevent major disease outbreaks, early detection and timely control are essential. In response to the wheat rust problem in Ethiopia, a consortium of national and international partners have created one of the most advanced, operational crop disease early warning and advisory systems in the world. This early warning system includes several advanced technologies and operates in near real-time within the wheat season. Key elements include near real-time field and mobile phone surveillance data, mobile nanopore sequencing diagnostics, meteorologically-driven spore dispersal, disease environmental suitability forecasting, and a platform for timely communication to policy-makers, extension agents and small-holder farmers. This keynote talk describes the existing early warning system and the planned development of additional, new components for enhancement based on artificial intelligence, machine learning, and remote sensing, such as UAV-based high throughput phenotyping for biotic stresses.
Dr. Arun Pratihast is a Senior Data scientist at Wageningen Environmental Research, team Earth Informatics, Wageningen, The Netherlands with a passion for the effective application of data and technology for forest, biodiversity, and agriculture monitoring. He focuses on citizen Science, geoinformation technologies, mobile application development, open and big data flow, data standardisation, software engineering and how these can lead to user-friendly applications and quality decision making. He is also actively engaged in the training and capacity building activities of World Bank, SilvaCarbon Global Forest Observation Initiative in many countries around the world. He has also received Google Earth Engine Award 2015.
Arun has a PhD from Wageningen University entitled "Interactive community-based tropical forest monitoring using emerging technologies”. This PhD project was funded by Centers for Natural Resources and Development (CNRD), DAAD Fellowship Programme and was in collaboration with Institute for Technology & Resources Management in the Tropics & Subtropics (ITT), Cologne University of Applied Sciences, Cologne, Germany and the Laboratory of Geoinformation Science and Remote Sensing , Wageningen University, Wageningen, The Netherlands. Prior to coming to Wageningen, he completed his MSc. at ITC, University of Twente, Enschede, The Netherlands and his undergraduate degree in Computer Engineering from, Tribhuvan University, Nepal. A full list of publications can be found via his GoogleScholar or ResearchGate profile.
KEYNOTE: “Community-based Tropical Forest Monitoring Using Emerging Technologies”
The unprecedented destruction of tropical forest cover has serious negative consequences on the regulation of the world’s climate cycle, biodiversity and other environmental variables. With rising global temperatures, improved forest monitoring, especially at the landscape scale has become increasingly important. Because forest changes manifest at a variety of spatial and temporal scales, effective monitoring will likely require an integrated approach, where detailed community-based in-situ observations are combined with remote sensing satellites. With these considerations in mind, this presentation will describe an integrated community based tropical forest monitoring system which combines emerging technologies, remote sensing and community-based observation in support of REDD+ monitoring, reporting and verification implementation.
GeoMundus is looking for sponsors and partners from all the spatial, technological, public or private, scientific, governmental, academic and more fields. We will be thrilled to have all the support and participation in this international event.
Please feel free to contact the budget team at firstname.lastname@example.org for more information on how to help and contribute! We will be glad to hear all the wishes to sponsor the 2020 GeoMundus conference and future years.