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 two 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 received her Bachelor's degree in Mathematics and her Ph.D. degree in Statistics from the University of Valencia,
and her Master's degree in Biostatistics from Harvard University. Prior to joining KAUST, she held academic positions at the University of Bath, Lancaster University, Queensland University of Technology, London
School of Hygiene and Tropical Medicine, and Harvard School of Public Health.
Paula's research focuses on the development of innovative statistical methods and computational tools for geospatial data analysis and health surveillance and has directly informed strategic policy in reducing disease burden in several countries. Her projects include the development of modeling architectures to understand the spatio-temporal patterns and identify targets for intervention of malaria in Africa, leptospirosis in Brazil, and cancer in Australia. Paula has also 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, and is the author of Spatial EpiApp, a Shiny web application for the analysis of spatial and spatio-temporal disease data. 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).
KEYNOTE (working title): “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 (working title): “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.
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.