Machine learning can guide food security efforts when primary data are not available
Estimating how many people are food insecure and where they are is of fundamental
importance for governments and humanitarian organizations to make informed and timely …
importance for governments and humanitarian organizations to make informed and timely …
[HTML][HTML] An integrated global model of local urban development and population change
E Koomen, MS Van Bemmel, J Van Huijstee… - … , environment and urban …, 2023 - Elsevier
High resolution models are essential to assess the localised impacts of global
environmental change. To enable the estimation of the impacts of location-specific change …
environmental change. To enable the estimation of the impacts of location-specific change …
Predicting food crises using news streams
Anticipating food crisis outbreaks is crucial to efficiently allocate emergency relief and
reduce human suffering. However, existing predictive models rely on risk measures that are …
reduce human suffering. However, existing predictive models rely on risk measures that are …
[HTML][HTML] Forecasting transitions in the state of food security with machine learning using transferable features
JJL Westerveld, MJC van den Homberg… - Science of the Total …, 2021 - Elsevier
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 …
economic downturns. Forecasting the state of food insecurity is essential to be able to trigger …
Machine learning for food security: Principles for transparency and usability
Abstract Machine learning (ML) holds potential to predict hunger crises before they occur.
Yet, ML models embed crucial choices that affect their utility. We develop a prototype model …
Yet, ML models embed crucial choices that affect their utility. We develop a prototype model …
Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning
Increasingly plentiful data and powerful predictive algorithms heighten the promise of data
science for humanitarian and development programming. We advocate for embrace of, and …
science for humanitarian and development programming. We advocate for embrace of, and …
Biodiesel production from new algal sources using response surface methodology and microwave application
Society is looking for clean alternate fuels due to the increased depletion of fossil fuels and
energy demands. The cost of oil extraction and downstream biodiesel conversation …
energy demands. The cost of oil extraction and downstream biodiesel conversation …
On the forecastability of food insecurity
Food insecurity, defined as the lack of physical or economic access to safe, nutritious and
sufficient food, remains one of the main challenges included in the 2030 Agenda for …
sufficient food, remains one of the main challenges included in the 2030 Agenda for …
Transitions into and out of food insecurity: A probabilistic approach with panel data evidence from 15 countries
D Wang, BPJ Andrée, AF Chamorro, PG Spencer - World Development, 2022 - Elsevier
Recent advances in food insecurity classification have made analytical approaches to
predict and inform response to food crises possible. This paper develops a predictive …
predict and inform response to food crises possible. This paper develops a predictive …
[图书][B] Altered Destinies: The Long-Term Effects of Rising Prices and Food Insecurity in the Middle East and North Africa
Growth is forecasted to slow down for the Middle East and North Africa region. The war in
Ukraine in 2022 exacerbated inflationary pressures as the world recovered from the COVID …
Ukraine in 2022 exacerbated inflationary pressures as the world recovered from the COVID …