Marc van den Homberg

Marc van den Homberg
510 an initiative of the Netherlands Red Cross

PhD, MBA, Disaster management certificate IFRC

About

81
Publications
20,087
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508
Citations
Introduction
Marc van den Homberg is the Scientific Lead of https://www.510.global/ of the Netherlands Red Cross focusing on data preparedness and impact-based forecasting. Improving preparedness and response to natural disasters through Small and Big data, Information Management and Coordination mechanisms. Former leader and co-founder within TNO, the Netherlands Research and Technology Organization, of the ICT for Development (ICT4D) team.
Education
January 2004 - February 2005
Rotterdam School of Management
Field of study
  • Executive Master of Business Administration
April 1993 - November 1997
Delft University of Technology
Field of study
  • Nanophysics and technology
September 1988 - March 1993
Utrecht University
Field of study
  • Physics

Publications

Publications (81)
Article
Full-text available
The occurrence and intensity of some natural hazards (e.g. hydro-meteorological) increase due to climate change, with growing exposure and socioeconomic vulnerability, leading to mounting risks. In response, Disaster Risk Reduction policy and practice emphasize people centred Early Warning Systems (EWS). Global policies stress the need for includin...
Chapter
Full-text available
In this chapter, we introduce early warning systems (EWS) in the context of disaster risk reduction, including the main components of an EWS, the roles of the main actors and the need for robust evaluation. Management of disaster risks requires that the nature and distribution of risk are understood, including the hazards , and the exposure, vulner...
Preprint
Full-text available
The relation between drought severity, as expressed through widely used drought indices, and drought impacts is complex. In particular in water-limited regions where water scarcity is prevalent, the attribution of drought impacts is difficult. This study assesses the relation between reported drought impacts, drought indices, water scarcity, and ar...
Article
Full-text available
THIS IS A CONSTRIBUTING PAPER TO THE 2022 UNDRR GLOBAL RISK ASSESSMENT REPORT (GAR 2022) ABSTRACT: It is often taken as given that community-based disaster risk reduction (CBDRR) serves as a mechanism for the inclusion of local knowledge (LK) in disaster risk reduction (DRR). In this paper, through in-depth qualitative analysis of empirical data fr...
Article
Full-text available
This contributing paper explores the opportunities offered by digital media mining to complement impact databases. Impact data on past disasters caused by natural hazards (in short, impact data) are of paramount importance for several applications. These include advocacy for investments in disaster risk reduction (DRR) and providing and evidence ba...
Preprint
Full-text available
Chapter for UN Global Assessment Report on Disaster Risk Reduction 2022 (GAR 2022). See https://www.preventionweb.net/publication/enriching-impact-data-mining-digital-media
Article
Full-text available
The small spatial and temporal scales at which flash floods occur make predicting events challenging, particularly in data-poor environments where high-resolution weather models may not be available. Additionally, the uptake of warnings may be hampered by difficulties in translating the scientific information to the local context and experiences. H...
Article
Full-text available
Epidemics are among the most costly and destructive natural hazards globally. To reduce the impacts of infectious disease outbreaks, the development of a risk index for infectious diseases can be effective, by shifting infectious disease control from emergency response to early detection and prevention. In this study, we introduce a methodology to...
Chapter
Full-text available
In this chapter, we introduce early warning systems (EWS) in the context of disaster risk reduction, including the main components of an EWS, the roles of the main actors and the need for robust evaluation. Management of disaster risks requires that the nature and distribution of risk are understood, including the hazards, and the exposure, vulnera...
Article
Full-text available
Droughts and changing rainfall patterns due to natural climate variability and climate change, threaten the livelihoods of Malawi’s smallholder farmers, who constitute 80% of the population. Provision of seasonal climate forecasts (SCFs) is one means to potentially increase the resilience of rainfed farming to drought by informing farmers in their...
Article
Full-text available
Reliable information on building stock and its vulnerability is important for understanding societal exposure to floods. Unfortunately, developing countries have less access to and availability of this information. Therefore, calculations for flood damage assessments have to use the scarce information available, often aggregated on a national or di...
Article
Full-text available
Detecting and forecasting riverine floods is of paramount importance for adequate disaster risk management and humanitarian response. However, this is challenging in data-scarce and ungauged river basins in developing countries. Satellite remote sensing data offers a cost-effective, low-maintenance alternative to the limited in-situ data when train...
Conference Paper
Full-text available
Increasingly, data-driven instruments are used in disaster risk reduction to foster more efficient, effective, and evidence-based decision-making. This data revolution brings along opportunities and challenges, which are sometimes related to the data itself, but more often seem related to the environment in which the data is put to use. To provide...
Preprint
Full-text available
The small spatial and temporal scales at which flash floods occur make predicting events challenging, particularly in data-poor environments where high-resolution weather models may not be available. Additionally, the uptake of warnings may be hampered by difficulties in translating the scientific information to the local context and experiences. H...
Article
Full-text available
Food insecurity is a growing concern due to man-made conflicts, climate change, and economic downturns. Forecasting the state of food insecurity is essential to be able to trigger early actions, for example, by humanitarian actors. To measure the actual state of food insecurity, expert and consensus-based approaches and surveys are currently used....
Article
In the research and policy environment, local knowledge (LK) is increasingly seen as an important component of building the resilience of communities and delivering sustainable disaster risk reduction (DRR) approaches tailored to local contexts. Many studies focus on documenting LK in different contexts; however, far less emphasis has been given to...
Preprint
Full-text available
Epidemics are among the most costly and destructive natural hazards globally. To reduce the impacts of infectious disease outbreaks, the development of a risk index for infectious diseases can be effective, by shifting infectious disease control from emergency response to early detection and prevention. In this study, we introduce a methodology to...
Preprint
Full-text available
Reliable information on building stock and its vulnerability is important for understanding societal exposure to floods. Unfortunately, developing countries have less access to and availability of this information. Therefore, calculations for flood damage assessments have to use the scarce information available, often aggregated on a national or di...
Article
Full-text available
In central and southern Malawi, climate variability significantly impacts agricultural production and food availability owing to a high dependence on rain-fed maize production. Seasonal climate forecast information has the potential to inform farmers' agricultural planning, thereby improving preparedness to extreme events. In this paper we describe...
Article
Full-text available
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 development aid and humanitarianism and the increasing reliance on digital technologies and data. New humanitarianism, especially in the form of disaster risk reduction, involved government a...
Article
Full-text available
The global shift within disaster governance from disaster response to preparedness and risk reduction includes the emergency of novel Early Warning Systems such as impact based forecasting and forecast-based financing. In this new paradigm, funds usually reserved for response can be released before a disaster happens when an impact-based forecast-i...
Article
Full-text available
Early warning systems trigger early action and enable better disaster preparedness. People-centered dissemination and communication are pivotal for the effective uptake of early warnings. Current research predominantly focuses on sudden-onset hazards, such as floods, ignoring considerable differences with slow-onset hazards, such as droughts. We id...
Article
Full-text available
As the world is digitizing fast, the increase in Big and Small Data offers opportunities to enrich official statistics for reporting on Sustainable Development Goals (SDG). However, survey data coming from an increased number of organizations (Small Data) and Big Data offer challenges in terms of data heterogeneity. This paper describes a methodolo...
Article
Full-text available
Automated classification of building damage in remote sensing images enables the rapid and spatially extensive assessment of the impact of natural hazards, thus speeding up emergency response efforts. Convolutional neural networks (CNNs) can reach good performance on such a task in experimental settings. How CNNs perform when applied under operatio...
Article
Full-text available
Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many variables and their complex sometimes nonlinear relationships with the damage. In recent years, data-driven modeling techniques have been used to capture those relationships. The available data to b...
Technical Report
Full-text available
Impact-based forecasting enables anticipatory actions and revolutionises responses to weather and climate crises: turning forecasts and warnings from descriptions of what the weather will be into assessments of what the weather will be into assessments of what the weather will do enables organisations and individuals across the world to anticipate...
Article
Full-text available
In recent decades, a striking number of countries have suffered from consecutive disasters: events whose impacts overlap both spatially and temporally, while recovery is still under way. The risk of consecutive disasters will increase due to growing exposure, the interconnectedness of human society and the increased frequency and intensity of non‐t...
Article
Nepal is severely flood-prone and ranks 20th worldwide in terms of flood-affected population. Although it is widely acknowledged that both national and community-based early warning systems (EWS) can reduce the impact of floods, studies quantifying the cost-benefits remain scarce. This study analyzes the costs and benefits of the EWS in the Lower K...
Article
Full-text available
Flood risk can be reduced at various stages of the disaster management cycle. Traditionally, permanent infrastructure is used for flood prevention, while residual risk is managed with emergency measures that are triggered by forecasts. Advances in flood forecasting hold promise for a more prominent role to forecast-based measures. In this study, we...
Article
Full-text available
Reliable predictions of the impact of natural hazards turning into a disaster is important for better targeting humanitarian response as well as for triggering early action. Open data and machine learning can be used to predict loss and damage to the houses and livelihoods of affected people. This research focuses on agricultural loss, more specifi...
Conference Paper
Full-text available
Reliable information on building stock and its vulnerability is important for understanding societal exposure to flooding and other natural hazards. Unfortunately, this often lacks in developing countries, resulting in flood damage assessments that use aggregated information collected on a national- or district level. In many instances, this inform...
Presentation
Full-text available
Abstract for EGU presentation in the session HS4.1.3 Flash floods and associated hydro-geomorphic processes: observation, modelling and warning
Article
Full-text available
People possess a creative set of strategies based on their local knowledge (LK) that allow them to stay in flood-prone areas. Stakeholders involved with local level flood risk management (FRM) often overlook and underutilise this LK. There is thus an increasing need for its identification, documentation and assessment. Based on qualitative research...
Chapter
Full-text available
The debate on “Loss and Damage” (L&D) has gained traction over the last few years. Supported by growing scientific evidence of anthropogenic climate change amplifying frequency, intensity and duration of climate-related hazards as well as observed increases in climate-related impacts and risks in many regions, the “Warsaw International Mechanism fo...
Chapter
Full-text available
Technology plays a critical role in the ability to retain, reduce or transfer climate risk or address impacts. However, vulnerable communities do not fully benefit from existing technology, whereas they are disproportionally impacted by climate change. This chapter assesses how technology can shape limits to adaptation and how to report on this inj...
Article
Full-text available
Reporting on the Sustainable Development Goals (SDGs) is complex given the wide variety of governmental and NGO actors involved in development projects as well as the increased number of targets and indicators. However, data on the wide variety of indicators must be collected regularly, in a robust manner, comparable across but also within countrie...
Poster
Full-text available
In developing countries, still a substantial proportion of the population is lacking access to basic livelihood services. The SDGs try to address these-any many more-problems, yet measuring progress is complicated. Countries most in need of development often lack mature data ecosystems to handle data for reporting on the SDGs. Often, many different...
Conference Paper
Technology plays a key role in making Flood EWSs effective; providing understandable, timely and actionable information to those most at-risk. This article lays out a framework that can be used to ensure that Access to, the Use of and Innovation of EWS Technologies accords with principles of Social Justice. We extract information on these dimension...
Conference Paper
Full-text available
Food security is commonly measured by means of surveys, requiring substantial time and budget. Open data can possibly serve as a cost-effective alternative to predict food security. In this paper a method is proposed that uses open data related to food insecurity drivers to predict food security in Ethiopia at the subnational level. The method is b...
Poster
Full-text available
Technology plays a key role in making flood early warning systems (EWS) effective; providing understandable, timely and actionable information to those most at risk. We developed a framework using social justice principles to analyse the access, use and innovation of technology for EWS. We extract information on these dimensions from the Key Global...
Chapter
Full-text available
During the preparedness and response phase in regularly recurring natural disasters, the responding and professional communities have to decide which actions to take in order to support affected communities. We investigated the information needs of and the disaster management data available to both national and local decision-makers during the floo...
Conference Paper
Full-text available
The incidence of natural disasters worldwide is increasing. As a result, a growing number of people is in need of humanitarian support, for which limited resources are available. This requires an effective and efficient prioritization of the most vulnerable people in the preparedness phase, and the most affected people in the response phase of huma...
Conference Paper
Full-text available
All too often the collection as well as analysis of data for humanitarian response only starts once a disaster hits. This paper proposes a framework to assess Data Preparedness on five dimensions: Data Sets, Data Services and Tooling, Data Governance, Data Literacy, and Networked Organizations for Data. We demonstrate for one dimension, i.e. Data S...
Chapter
Climate change adaptation and disaster risk management in the Balkans require strong regional cooperation, given that disasters in the Balkans are often cross-border. However, currently information and collaboration gaps occur. This paper proposes to harness the potential of information management, geoinformatics and big data to bridge these gaps a...
Research
Full-text available
Organizations working on disaster management need to find sustainable and scalable ways to mitigate the increased risks and to minimize the loss of lives and livelihoods when a disaster hits. This essay focuses on the role data plays in disaster management and on how innovations in this area can benefit humanitarian actors and can help them to tran...
Research
Full-text available
With the recent onset of joint assessments, planning and execution of interventions in international cooperation in fragile or conflict-affected states, the question arises of how to facilitate cooperation between different institutions and organizations. Management theories from the corporate sector can provide some interesting insights and possib...
Poster
Full-text available
River floods affect the vulnerable communities living on the riverine islands in North West Bangladesh. The professional and the responding community implement preparedness and response activities to avoid loss of lives and protect livelihoods. We determined and clustered the information needs of these decision makers during the 2014 floods by cond...
Conference Paper
Full-text available
This paper applies a Game-based Learning Evaluation Model (GEM) to assess whether the early warning – early action serious game “Ready!” is an effective component to add to existing Disaster Risk Reduction (DRR) training curricula, facilitated by NGO staff and applied at the community level. We developed a paper-based survey with 17 five-level Like...
Conference Paper
Full-text available
Large scale disasters are complex events involving many stakeholders. Despite the structures the national and international humanitarian system provide, still many collaboration and information gaps between stakeholders, levels of operations and phases in the disaster management cycle occur. In the recovery phase, communities are insufficiently inv...
Article
Full-text available
The response to the Level 3 disaster of Typhoon Haiyan in the Philippines involved a large number of organizations providing assistance and support. Coordination structures between a large variety of international and national organizations, the government and the military were established at the national, provincial and local levels. These coordin...
Technical Report
Full-text available
The main goal of this research is an overview of how Dutch military and civilian professionals prepare themselves for a comprehensive approach in conflict-affected areas. What works for the different actors and what can be improved? To evaluate the different training initiatives we use the curricular spider's web.
Conference Paper
Full-text available
Christian Aid, Cordaid, PVGS and Practical Action established a community-based early warning system for cross-border floods between India and Nepal in 45 Indian villages. The project will scale to 95 villages early 2016. The number of stakeholders and organizational levels of this system with four key elements (risk knowledge, monitoring and warni...
Conference Paper
Full-text available
This paper describes the field tests of a simulation based game aiming at raising awareness and creating a deeper understanding of the dynamics of the comprehensive approach (CA). The setting of this game is that of a failed state where an UN intervention takes place after massive conflict that requires a CA to stabilize the situation. That is, the...
Conference Paper
Full-text available
In the early phase of the crisis spectrum it is particularly challenging to apply a comprehensive approach. Complexities involve how to reach a shared context and conflict analysis, involve the local perspective, have an explicit Theory of Change and how to deal with political sensitivity. Military and civilian actors usually only start to share in...
Technical Report
Full-text available
The DRL field team embarked for the Philippines on December 11, 2013, a bit more than a month after Typhoon Haiyan had made its landfall. During our visit, we conducted 39 interviews, we participated in meetings and conversations, we conducted observations in coordination and meeting centres at government and NGO offices, airports, IHP camps, and w...
Conference Paper
Full-text available
Over the past twenty years, the number of mobile phone subscriptions has risen from 12 million to more than six billion. 75% of the world has access to a mobile phone and the developing world is now more mobile than the developed world. However, the growth of non-voice services on these mobiles for the Base of the Pyramid users is still at the star...