Abstract
As we progress ahead and measure our growth in every field, science and technology or even societal development, every time, our focus is skewed and mostly myopic on what we achieved and what more to be done and how fast to be done. We seldom study what we really missed and skewed our development is. A retrospection and introspection, many a times, help us making a course correction. A development, or any economic growth, is no development if it is not for all and leaves a section of society. This paper looks at different social development models and important development indices which are in use today globally and analyses social development data in the Indian context. It refers to Mahalanobis D-square statistics and other Indian studies and attempts to suggest newer social development indices, using secondary data. It discusses issues relating to ‘social-big-data’, as available from secondary sources, published by various agencies. Paper presents a conceptual model for measuring the social wellbeing of individuals and families.
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The author acknowledges the help and contribution of his research scholar, Mr. Smruti Malhar Mohapatro, for the collection of data and other secondary information, from the above cited sources, identified by the author.
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Subudhi, R.N. (2022). Social Development Data and Societal Modelling: A Study in Indian Context. In: Rautaray, S.S., Pandey, M., Nguyen, N.G. (eds) Data Science in Societal Applications. Studies in Big Data, vol 114. Springer, Singapore. https://doi.org/10.1007/978-981-19-5154-1_4
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DOI: https://doi.org/10.1007/978-981-19-5154-1_4
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