What is interesting in Development economics is it shows how economic analysis can help us understand the big issues of this century – poverty and inequality, globalisation and trade, and the contrasting experience of success and failure in the economies of different regions of the world. Its focus is not only on methods of promoting […]
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Urban informatics is a trans-disciplinary field of research and practice that draws on three broad domains: People, Place and Technology. Urban informatics uses data (from government, personal or from sensors) to better understand how cities work. This understanding can remedy a wide range of issues affecting the everyday lives of citizens. For the first time
URBAN INFORMATICS for cities to run more efficiently Read More »
Data Science is a multi-disciplinary evolving field. It has no well-defined route of education. A good data scientist should acquire decent software engineering skills, learn enough math and statistics to reason about data analysis and machine learning from first principles, and internalize enough knowledge about a domain to create realistic models. You don’t need to
What should be the learning path to be a data scientist? Read More »
(taken from Prof. Jayanth R Varma’s Financial Markets Blog) SWIFT (Society for Worldwide Interbank Financial Telecommunication) is nearly half a century old and was originally built to replace the antiquated telex machine. Telecommunication technology has changed drastically since then and it is unlikely that banks would want to build a bespoke telecommunication network if they
Could SWIFT code become obsolete? Read More »
How to identify manufacturing companies for GDP estimation In a recent paper Amey Sapre and Pramod Sinha worked on the problems of gross value added (GVA) estimation for the manufacturing sector. One of the elements in the procedure is the identification of manufacturing companies from the MCA21 data. The GVA formula changes depending on whether
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