New data yields deeper understanding of poverty in India
A new international study led by UvA researchers Peter Sloot and Michael Lees has yielded extensive data on slums in Bangalore and provides a detailed insight into the problem of poverty in India. The highly granular data, which was collected through a field survey of 36 slums, could lead to a better understanding of poverty and to more effective strategies for managing and improving conditions for slum dwellers. The results were recently published in the journal Nature Scientific Data.
In 2010, an estimated 860 million people were believed to be living in slums worldwide. In order to formulate effective slum development programs and poverty alleviation methods, more insight is needed into the characteristics and needs of slum dwelling communities. As part of their study, the researchers collected data to gain a more complete picture of the problem and developed predictive computer models. ‘Until now, the available data wasn’t sufficient enough to build the advanced computer models needed to calculate intervention scenarios’, says Sloot, who is professor of Computational Science and director of the UvA’s Institute for Advanced Study.
The research carried out within the projects DynaSlum and SIM-CITY is partly funded by the Netherlands Organisation for Scientific Research and the Netherlands eScience Center.
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The Institute for Advanced Study (IAS) and Data Science Center (DSC) of the University of Amsterdam (UvA) are joining forces in a new joint fellowship for (teams of) researchers interested in exploring the intersection of data science and other disciplines. The first fellow of the new program, Dr. Davide Ceolin, will start his fellowship at the IAS on June 17. Ceolin is currently affiliated with CWI.
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