Kaveri Iychettira and Afreen Siddiqi explain why computational modelling is a useful tool, especially when stakes are high and resources are constrained, and detail why developing countries should build capacity for it. 

In developing countries, where the coronavirus pandemic is potentially at its most dangerous and costly, the authors call for governments to work with academic institutions to build and sustain computational modelling capacity.

With decision-makers relying on a growing torrent of forecasts regarding COVID-19 and other important issues, it is more important than ever that they ask questions about how the projections were made. To use predictive tools more effectively, policymakers should ask four questions in particular.

In this paper, a quantitative Waste to Energy Recovery Assessment (WERA) framework is used to stochastically analyze the feasibility of waste-to-energy systems in selected cities in Asia.

As numerous studies have made strikingly clear, climate change is increasing much more rapidly than anticipated and its negative impacts are becoming more and more visible around the world. From the escalating extremity of weather events, severe droughts and wildfires, to melting glaciers, rising sea levels, and disastrous floods, climate change is already harming humans and our ecosystems in a myriad of ways. 

This chapter focuses on the most obvious but elusive challenge of integrating irrigation and agriculture in Punjab and explores the essential nexus of water and food. It uses a combination of historical, institutional, and statistical analyses to investigate how integrated food and water planning can be achieved in Punjab.