For a number of reasons, the agencies responsible for evaluating social programs in both industrialized and developing countries have been much slower in adopting data science approaches than their colleagues who work in research and planning. York, P. and Bamberger, M. (2020), p.1. Big Data and Evaluation: a tale of two cities Beyond the humanitarian […]
mind the gap: bridging the methodological divide Read More »
Predictive analytics is the use of big data to feed machine learning and statistical models which then predict the likely occurance and character of future events. In humanitarian action, this could mean, for example, combining historical famine records with mobile phone operator data and social media activity, feeding these into an algorithm or statistical model,
evaluating the use of predictive analytics Read More »
Welcome to the Data Conscious blog! This is the first entry in a new blog series looking at the application of data science to the monitoring and evaluating of humanitarian action. The blog will cover topics like: Big data: how can it be practically used to help measure the results of humanitarian action? AI and
Launching Data conscious Read More »