. . . "Carry out physically-based hazard modelling, including the generation of the dataset, calibration and validation"@en . . "Carry out physically-based hazard modelling, including the generation of the dataset, calibration and validation"@en . . . "Specify the data requirements for hazard and risk assessment, and evaluate how these might change over time."@en . . "Specify the data requirements for hazard and risk assessment, and evaluate how these might change over time."@en . . . "Carry out a spatial quantitative multi-hazard risk assessment"@en . . "Carry out a spatial quantitative multi-hazard risk assessment"@en . . . "Analyze how hazard and risk may change over time due to climate change, land use change, population changes and other socio-economic changes"@en . . "Analyze how hazard and risk may change over time due to climate change, land use change, population changes and other socio-economic changes"@en . . . "Analyze changes in hazard interactions using a physically-based model"@en . . "Analyze changes in hazard interactions using a physically-based model"@en . . . "Analyze how different planning alternatives alter the hazard, exposure and risk and identify which are optimal from a stakeholder perspective"@en . . "Analyze how different planning alternatives alter the hazard, exposure and risk and identify which are optimal from a stakeholder perspective"@en . . "201800317" . "CORE_005" . "7"^^ . "196"^^ . "10"^^ . "2023-04-20T22:00:00Z"^^ . "f2f" . "Lectures about global challenges (processes and trends, policy frameworks, use of geo- information and earth observation, examples of local impacts)\nWorking groups to further process the information provided by the lectures/reading material through the perspective of your own discipline/project group\nSupervised project group-work to work on a specific case study (4-6 students)\nTutorials, to acquire some specific methods that students aim to use in the elaboration of the projects\nSelf-study\nExcursion or discussion with invited experts (1 per case study project)"@en . . . . . . . "None,Successful completion of the ITC course 'GIS and RS for Geospatial Problem Solving' or equivalent."@en . . "40"^^ . "3" . "2A" . . . . . . . . "2023-02-05T23:00:00Z"^^ . "Global challenges of the 21st century, as caused by or related to climate change, rapid urbanization and increased resource use cannot be simply addressed at the global level within disciplinary boundaries but require careful consideration and detailed analysis at the regional and local level and an interdisciplinary lens. In this course, we aim to increase your awareness of the urgency to address global challenges of the 21st century at multiple scales and the added value of engaging with other disciplines. Besides learning about internationally recognized key global challenges, you will further strengthen the geo-spatial and domain knowledge and skills acquired in preceding courses. You will become aware of both the added value and challenges of crossing disciplinary boundaries and recognize the contribution of your own discipline in analysing global problems and designing actions at the local level.\n\nThe course consists of two elements, moving from a multi-disciplinary to an interdisciplinary approach. The first element introduces you to a set of key global challenges which have been recognized internationally and relate to selected research themes of ITC and the educational tracks of the Master Geo-Information Science and Earth Observation. This is done by means of keynote lectures and associated working groups. The second element is an interdisciplinary and project-based investigation in multi-disciplinary groups (i.e. a region-specific case study that reflects a mix of challenges and impacts). With the group, you will analyse a global issue more in-depth and collaboratively design a response (plan, strategy, policy recommendation, etc.) at the local level. For further details see the content section."@en . "Global Challenges, Local Action"@en . . "Global Challenges, Local Action"@en . "Global Challenges, Local Action"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "The Master’s Programme Geo-Information Science and Earth Observation (M-GEO) is a two-year academic curriculum at MSc level, taught fully in English, dedicated to understanding the earth’s systems from a geographic and spatial perspective. The field of Geo-information Science and Earth Observation has, in recent years, witnessed fast scientific and technological developments. As a result, geographic information has become a vital asset to society and part of our daily life. The ubiquitous production and availability of spatial data require cloud computing and new technology to turn the increasing volume of ‘big data’ to good use. The growing range of global challenges, from climate change and resource depletion to environmental pollution and pandemic diseases, that our society and in particular the more vulnerable populations on our planet are facing, increases the demand for academic professionals who have the ability, attitudes and skills to design solutions that are sustainable, transdisciplinary and innovative with positive societal impacts. Our education focuses on addressing these global problems by means of advanced geo-information and earth observation applications."@en . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . . . "ILWIS"@en . . . "ArcGIS Dashboard "@en . "OpenLISEM Hazard"@en . . . "RiskChanges"@en . . . "Course"@en . "202001493" . "AES_0004" . "5"^^ . "140"^^ . "10"^^ . "2022-11-10T23:00:00Z"^^ . "hybrid" . "The course will consist of:\n\n(Online) Interactive lectures, where an introduction is given to the various topics. The lectures will also be available later as videos. The course is given in hybrid mode, as an online course, as well as face-to-face in ITC.\nSupervised practical. These will be organized in ITC, and a supervisor will be present to give support. Online participants are guided through Canvas. \nUnsupervised practical. The students can work at ITC in the practical room, or decide to work at home.\nReading assignments.\nFinal projects. Both components of the course contain a final project, in which the students analyze a particular problem.\nGroup assignments include a stakeholder simulation workshop, where students have to represent certain stakeholder"@en . "This course is open for short-course participants and MSc students with an affinity with disaster risk reduction challenges, combined with experience with GIS and spatial data."@en . "4"^^ . "1" . "1A " . "2022-09-04T22:00:00Z"^^ . "This course provides an advanced understanding in the assessment of dynamic risk for multi-hazards from hydro-meteorological and geological origin (e.g. landslides, floods, debris flows). This course presents approaches to evaluate how multi-hazard risk might change over time. Multi-hazard risk assessment (MHRA) is the quantitative estimation of the spatial distribution of potential losses for an area. These relate to multiple natural hazards with different hazard interactions, with multiple event probabilities, for multiple types of elements-at-risks, and multiple potential loss components. The course first discusses the various types of hazard interactions. An overview is given of the tools available for multi-hazard assessment, stressing the importance of developing integrated physically-based multi-hazard models. One of such models, OpenLISEM Hazard, is treated in detail, and the participants will get hands-on experience in the use of this integrated physically-based multi-hazard model, and the data requirements. After discussing problems involved in analyzing static MHR, the course addressed the analysis of changing multi-hazard risk as a basis for decision-making. These changes may be related to changes in triggering or conditional factors, increasing exposure of elements at risk, and their vulnerability and capacity. Dynamic risk can be evaluated in the long term because of changes in climate, land use, population density, economy, or social conditions. Changes in risk might also be occurring in a short time frame and assessed as a basis for Early Warning and impact based forecasting, and to analyze the consequences of hazard interactions after major events. "@en . "Modelling Multi-Hazards & Risk"@en . "Modelling Multi-Hazards & Risk"@en . "Modelling Multi-Hazards &