Search Results - "van den Homberg, Marc"

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  1. 1

    Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction by Wagenaar, Dennis, Hermawan, Tiaravanni, Homberg, Marc J. C., Aerts, Jeroen C. J. H., Kreibich, Heidi, Moel, Hans, Bouwer, Laurens M.

    Published in Risk analysis (01-01-2021)
    “…Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many…”
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    Journal Article
  2. 2

    The Changing Face of Accountability in Humanitarianism: Using Artificial Intelligence for Anticipatory Action by Van den Homberg, Marc J. C., Gevaert, Caroline M., Georgiadou, Yola

    Published in Politics and governance (01-12-2020)
    “…Over the past two decades, humanitarian conduct has been drifting away from the classical paradigm. This drift is caused by the blurring of boundaries between…”
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  3. 3

    The Legitimacy, Accountability, and Ownership of an Impact-Based Forecasting Model in Disaster Governance by Bierens, Sterre, Boersma, Kees, Van den Homberg, Marc J. C.

    Published in Politics and governance (01-12-2020)
    “…The global shift within disaster governance from disaster response to preparedness and risk reduction includes the emergency of novel Early Warning Systems…”
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    Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya by Lam, Marleen R, Matanó, Alessia, Van Loon, Anne F, Odongo, Rhoda A, Teklesadik, Aklilu D, Wamucii, Charles N, van den Homberg, Marc J. C, Waruru, Shamton, Teuling, Adriaan J

    Published in Natural hazards and earth system sciences (01-09-2023)
    “…The relation between drought severity and drought impacts is complex and relatively unexplored in the African continent. This study assesses the relation…”
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  6. 6

    Auditing Geospatial Datasets for Biases: Using Global Building Datasets for Disaster Risk Management by Gevaert, Caroline M., Buunk, Thomas, van den Homberg, Marc J.C.

    “…The presence of biases has been demonstrated in a wide range of machine learning applications; however, it is not yet widespread in the case of geospatial…”
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  7. 7

    Forecasting transitions in the state of food security with machine learning using transferable features by Westerveld, Joris J.L., van den Homberg, Marc J.C., Nobre, Gabriela Guimarães, van den Berg, Dennis L.J., Teklesadik, Aklilu D., Stuit, Sjoerd M.

    Published in The Science of the total environment (10-09-2021)
    “…Food insecurity is a growing concern due to man-made conflicts, climate change, and economic downturns. Forecasting the state of food insecurity is essential…”
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  8. 8

    Constructing and validating a transferable epidemic risk index in data scarce environments using open data: A case study for dengue in the Philippines by Hierink, Fleur, Margutti, Jacopo, van den Homberg, Marc, Ray, Nicolas

    Published in PLoS neglected tropical diseases (01-02-2022)
    “…Epidemics are among the most costly and destructive natural hazards globally. To reduce the impacts of infectious disease outbreaks, the development of a risk…”
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  9. 9

    Why We Can No Longer Ignore Consecutive Disasters by Ruiter, Marleen C., Couasnon, Anaïs, Homberg, Marc J. C., Daniell, James E., Gill, Joel C., Ward, Philip J.

    Published in Earth's future (01-03-2020)
    “…In recent decades, a striking number of countries have suffered from consecutive disasters: events whose impacts overlap both spatially and temporally, while…”
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  10. 10

    Cost-benefit analysis of flood early warning system in the Karnali River Basin of Nepal by Rai, Rajesh Kumar, van den Homberg, Marc J.C., Ghimire, Gopal Prasad, McQuistan, Colin

    “…Nepal is severely flood-prone and ranks 20th worldwide in terms of flood-affected population. Although it is widely acknowledged that both national and…”
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  11. 11

    Contextualising seasonal climate forecasts by integrating local knowledge on drought in Malawi by Streefkerk, Ileen N., van den Homberg, Marc J.C., Whitfield, Stephen, Mittal, Neha, Pope, Edward, Werner, Micha, Winsemius, Hessel C., Comes, Tina, Ertsen, Maurits W.

    Published in Climate services (01-01-2022)
    “…Droughts and changing rainfall patterns due to natural climate variability and climate change, threaten the livelihoods of Malawi’s smallholder farmers, who…”
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  12. 12

    Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment by Valentijn, Tinka, Margutti, Jacopo, van den Homberg, Marc, Laaksonen, Jorma

    Published in Remote sensing (Basel, Switzerland) (01-09-2020)
    “…Automated classification of building damage in remote sensing images enables the rapid and spatially extensive assessment of the impact of natural hazards,…”
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  13. 13

    River Flood Detection Using Passive Microwave Remote Sensing in a Data-Scarce Environment: A Case Study for Two River Basins in Malawi by Mokkenstorm, Lone C., van den Homberg, Marc J. C., Winsemius, Hessel, Persson, Andreas

    Published in Frontiers in earth science (Lausanne) (05-07-2021)
    “…Detecting and forecasting riverine floods is of paramount importance for adequate disaster risk management and humanitarian response. However, this is…”
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  14. 14

    Bridging the information gap of disaster responders by optimizing data selection using cost and quality by van den Homberg, Marc, Monné, Robert, Spruit, Marco

    Published in Computers & geosciences (01-11-2018)
    “…Natural disasters are chaotic and disruptive events, with compressed timelines and high levels of uncertainty. Comprehensive data on the impact becomes only…”
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  15. 15

    Exploring the integration of local and scientific knowledge in early warning systems for disaster risk reduction: a review by Hermans, Thirze D. G., Šakić Trogrlić, Robert, van den Homberg, Marc J. C., Bailon, Hannah, Sarku, Rebecca, Mosurska, Anuszka

    Published in Natural hazards (Dordrecht) (01-11-2022)
    “…The occurrence and intensity of some natural hazards (e.g. hydro-meteorological) increase due to climate change, with growing exposure and socio-economic…”
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  16. 16

    Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle by Hierink, Fleur, Yaghmaei, Nima, Bakker, Mirjam I, Ray, Nicolas, Van den Homberg, Marc

    Published in Geospatial health (29-10-2024)
    “…As extreme weather events increase in frequency and intensity, the health system faces significant challenges, not only from shifting patterns of…”
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  17. 17

    Characterizing Data Ecosystems to Support Official Statistics with Open Mapping Data for Reporting on Sustainable Development Goals by van den Homberg, Marc, Susha, Iryna

    “…Reporting on the Sustainable Development Goals (SDGs) is complex given the wide variety of governmental and NGO actors involved in development projects as well…”
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  18. 18

    Geospatial Health: achievements, innovations, priorities by Amer, Sherif, Augustijn, Ellen-Wien, Anthonj, Carmen, Tjaden, Nils, Blanford, Justine, Van den Homberg, Marc, Rinaldi, Laura, Van Rompay, Thomas, Zurita Milla, Raúl

    Published in Geospatial health (25-10-2024)
    “…An expert panel discussion on achievements, current areas of rapid scientific progress, prospects, and critical gaps in geospatial health was organized as part…”
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  19. 19

    Combining UAV Imagery, Volunteered Geographic Information, and Field Survey Data to Improve Characterization of Rural Water Points in Malawi by van den Homberg, Marc, Crince, Arjen, Wilbrink, Jurg, Kersbergen, Daniël, Gumbi, Gumbi, Tembo, Simon, Lemmens, Rob

    “…As the world is digitizing fast, the increase in Big and Small Data offers opportunities to enrich official statistics for reporting on Sustainable Development…”
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  20. 20

    Communication Structures and Decision Making Cues and Criteria to Support Effective Drought Warning in Central Malawi by Calvel, Alexia, Werner, Micha, van den Homberg, Marc, Cabrera Flamini, Andrés, Streefkerk, Ileen, Mittal, Neha, Whitfield, Stephen, Langton Vanya, Charles, Boyce, Clement

    Published in Frontiers in climate (30-11-2020)
    “…Early warning systems trigger early action and enable better disaster preparedness. People-centered dissemination and communication are pivotal for the…”
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