Intend to adopt unconventional data analytical techniques to explore the multiple dimensions of child undernutrition in India, utilizing existing national surveys and the HBGDKi database. The novel and sophisticated analytical methods that will be used include geospatial analysis, data triangulation through statistical matching, and multilevel modeling. The idea is unconventional because India does not have a single granular and multidimensional Health and Nutrition survey that can be analyzed at the district and sub-district level to provide precision insights to public health policy.
Grant ID
BT/ki-Data0374/06/18
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Follow-on Funding
Off
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Initiatives
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Award Manager
Individual Funder Information
Funding Organization
Funding Amount (in original currency)
5956500.00
Funding Currency
INR
Exchange Rate (at time of payment)
0.0166700000
Funding Amount (in USD)
99295.00
Project Type
Project Primary Sector
Funding Date Range
-
Funding Total (In US dollars)
99294.86
Co-Funded
False