Together with our staff, volunteers, thesis students, interns and partners, are working hard on research that will improve the speed, quality and cost-effectiveness of humanitarian aid.

Below, you can find a non-exhaustive list (scroll over for links) of scientific publications (peer-reviewed, conference papers and theses) by 510 or about 510. You can also follow our Scientific Lead on ResearchGate.




Information diffusion in complex emergencies

MSc thesis 2019  Meijering, Jasper  TU Delft Technology, Policy and Management


The role of data and information sharing when slow-onset natural disasters and conflict collide

MSc thesis 2019 Kuipers, Titia   TU Delft Technology, Policy and Management


Finding impact data in humanitarian documents

MSc thesis 2019. Riezenbos, Annelies  Leiden University Statistical Science fo rah life and behavioural sciences


Fair Impact-based Forecasting in Manila Bay, Philippines: Integration of the information needs of disaster managers into fair impact-based forecasting to improve emergency management

MSc thesis 2019  Benito Lazaro, Irene  TU Delft Civil Engineering and Geosciences



Assessing the forecast skill of agricultural drought forecast from satellite-derived products in the Lower Shire River Basin 

MSc thesis 2019 Panis, M, et al. Delft University of Technology Faculty of Civil Engineering and Geosciences


Linking Drought Forecast Information to Smallholder Farmer’s Agricultural Strategies and Local Knowledge in Southern Malawi

MSc thesis 2020 Streefkerk, Ileen et al. Delft University of Technology Faculty of Civil Engineering and Geosciences



Exploring vulnerability and impact of floods in Malawi : a first step towards impact-based forecasting

MSc thesis 2018 Broeken, M., et al. NIMS – Dissertações de Mestrado em Estatística e Gestão da Informação, Universidade Nova de Lisboa.


On the predictability of flash floods and their impacts in North Malawi

MSc thesis 2019 Bucherie, A., et al. 2019  IHE Delft Institute for Water Education



Modelling Food Insecurity in Ethiopia: Towards a machine learning model that predicts the transitions in food security using scalable features 

MSc thesis 2019 Westerveld, J. J. L., et al.  Utrecht University Faculty of Science.


Predicting rice loss due to typhoons in the Philippines

MSc thesis 2019 Boeke, S.  Tilburg University. FGW. Cognitive science and artificial intelligence



Automated Building Damage Classification using Remotely Sensed Data

MSc thesis 2018 Kersbergen, Daniël  TU Delft Architecture and the Built Environment; TU Delft Urbanism



The inclusion of external knowledge into a text classification model for a small dataset

MSc thesis 2019 Baeskow, L. Universiteit van Tilburg. Cognitive science and artificial intelligence 2019


Does behaviour impact the vulnerability of the Philippines community to Dengue incidence? : The Epidemic Risk and Priority Project 

MSc thesis 2018 Meijerink, C. University of Twente Health Sciences


Remoteness as a proxy for social vulnerability in Malawian Traditional Authorities

MSc thesis 2017  Wilbrink, Jurg  Utrecht University, Geographical Information Management and Applications (GIMA)



Predicting the state of local markets after natural disasters to inform humanitarian cash programs

MSc thesis  Tas, A. 2019  Erasmus University


Self-Sovereign Identities for Scaling up Cash Transfer Projects.

MSc thesis Stevens, L. 2018  TU Delft


Managing registration on the blockchain: the future of identity management in humanitarian cash transfer programs?

MSc thesis Stahli, T. 2018 Graduate Institute Geneva


A Fair Distribution Algorithm for Cash Transfer Programs.

MSc thesis  Bijkerk, M. 2018 University of Amsterdam


UMSelf-Sovereign Digital Identity for Cash Transfers & KYC requirements in Malawi and Kenya.

MSc thesis Meyling, J.2019  Masterich Graduate School of Governance



Characterising Data Ecosystems to Support Official Statistics with Open Mapping Data for Reporting on Sustainable Development Goals.

van den Homberg, M. and I. Susha (2018). ISPRS International Journal of Geo-Information 7(12)


Bridging the information gap of disaster responders by optimizing data selection using cost and quality.

van den Homberg, M., et al. (2018). Computers & Geosciences 120: 60-72.


Characterising Local Knowledge across the Flood Risk Management Cycle: A Case Study of Southern Malawi.

Šakić Trogrlić, R., et al. (2019) Sustainability 11(6)


Indigenous knowledge and early warning systems in the Lower Shire Valley in Malawi

Šakić Trogrlić, R., et al. (2019)


Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment

Tinka Valentijn, Jacoppo Margutti, Marc Homberg , Jorma Laaksonen (2020)



Why we can no longer ignore consecutive disasters

Marleen C. de Ruiter Anaïs Couasnon Marc J.C. van den Homberg James E. Daniell Joel C. Gill Philip J. Ward


Towards predicting rice loss due to Typhoons in the Philippines

S. Boeke1,4, M. J. C. van den Homberg1, A. Teklesadik1, J. L. D. Fabila2, D. Riquet3, and M. Alimardani4


On the predictability of flash floods and their impacts in Northern Malawi. 

Bucherie, A., et al. 2019


Combining Open Data and Machine Learning to predict Food Security in Ethiopia. 

Van Der Heijden, W., et al. 2018


A framework for strengthening data ecosystems to serve humanitarian purposes.

Haak, E., et al. (2018). Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age. Delft, The Netherlands, ACM: 1-9


Reinhard Mechler, et al. 2018


Using a Dynamic Sensor Network to Obtain Spatiotemporal Data in an Urban Environment

Kersbergen, Daniël et al


Technology for Climate Justice: A Reporting Framework for Loss and Damage as Part of Key Global Agreements

Marc van den Homberg et al 2018


Characterising the data ecosystem around the SDGs for more efficient reporting.

Elenbaas, H. et al