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 with scientific publications (peer-reviewed, conference papers and theses) by 510 or about 510. You can also follow our Scientific Lead on ResearchGate.
IMPACT BASED FORECASTING:
TECHNOLOGY, DATA & COMMUNICATIONS:
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
COMMUNITY RISK ASSESSMENT:
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)
CASH BASED AID:
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)
SCIENTIFIC ABSTRACTS / CONFERENCE PAPERS /JOURNAL PAPERS /BOOK CHAPTERS
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
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
Characterising the data ecosystem around the SDGs for more efficient reporting.
Elenbaas, H. et al