Adaptive capacity and attainment of the sustainable development goals in local communities of India.

India's progress vis-à-vis the United Nations' Sustainable Development Goals (SDG) has stagnated since 2020. The consequences of the non-attainment of the SDGs can be severe. Therefore, questions arise as to what steps must be taken to accelerate progress in India's SDG attainment.

Intergenerational education mobility in India: nonlinearity and the Great Gatsby Curve.

Introduction: Intergenerational education mobility, which reflects the degree to which an individual's educational attainment is independent of their parents' education, is essential for promoting equal opportunities in society. In the context of India, where socio-economic disparities are deeply entrenched, understanding the dynamics of intergenerational mobility is particularly crucial.

Methods: This paper examines various aspects of intergenerational education mobility in India using data from the Indian Human Development Survey (IHDS), a nationally representative multi-topic survey.

Wealth and education-related inequalities in the utilisation of reproductive, maternal, newborn, and child health interventions within scheduled tribes in India: an analysis of Odisha and Jharkhand.

Background: The utilisation of Reproductive, Maternal, Newborn and Child Health (RMNCH) services remains lower among the Scheduled Tribes (ST) in India than among the rest of the country's population. The tribal population's poorest and least-educated households are further denied access to RMNCH care due to the intersection of their social status, wealth, and education levels. The study analyses the wealth- and education-related inequalities in the utilisation of RMNCH services within the ST population in Odisha and Jharkhand.

Examining the factors contributing to a reduction in hardship financing among inpatient households in India.

In India, the rising double burden of diseases and the low fiscal capacity of the government forces people to resort to hardship financing. This study aimed to examine the factors contributing to the reduction in hardship financing among inpatient households in India. The study relies on two rounds of National Sample Surveys with a sample of 34,478 households from the 71st round (2014) and 56,681 households from the 75th round (2018).

Wealth inequalities in nutritional status among the tribal under-5 children in India: A temporal trend analysis using NFHS data of Jharkhand and Odisha states - 2006-21.

Background: Undernutrition remains a major public health concern in India, especially among children belonging to the Scheduled Tribes (ST). In this study, we analyse wealth inequalities in nutritional outcomes within ST communities in two tribal-dominated states of India, namely, Odisha and Jharkhand. The study also compares the trends in nutrition outcomes between ST and Non-ST children in these states.

Illnesses and hardship financing in India: an evaluation of inpatient and outpatient cases, 2014-18.

Background: Progress towards universal health coverage requires strengthening the country's health system. In developing countries, the increasing disease burden puts a lot of stress on scarce household finances. However, this burden is not the same for everyone.

Stakeholders' Perspective on Working Towards a Healthy Ageing Society: Evidence from a Rapidly Ageing Context.

The combined demographic and epidemiologic transition may significantly challenge the ageing population, especially with a weak health and non-health supporting system. The study aims to elicit the supply side stakeholders' view on healthy ageing and the readiness for a healthy ageing society in the Kerala context, which is one of India's most advanced states in terms of demographic and epidemiologic transition. Data from various stakeholders in the field of Gerontology was collected using semi-structured in-depth interviews.

The new world of philanthropy: How changing financial behavior, public policies, and COVID-19 affect nonprofit fundraising and marketing.

Evolving financial behavior, an unpredictable public policy atmosphere, and an unparalleled global pandemic have collaborated to disrupt nonprofit fundraising. The COVID-19 pandemic alone exacerbated consumer demands for nonprofit services while curtailing nonprofit organizations' ability to fundraise. Without fundraising, nonprofit organizations cannot achieve their mission or support their causes, leading to a precarious situation for societal well-being.

COVID-19, information management by local governments, and food consumption.

Federal and state governments in developing countries have tasked local governments with managing COVID-19 on the ground. The bottom-up approach is critical to ensuring household food security, especially in rural areas. We have utilized data from a panel of Indian households that participated in two rounds of a livelihoods survey.

Applications of game theory in deep learning: a survey.

This paper provides a comprehensive overview of the applications of game theory in deep learning. Today, deep learning is a fast-evolving area for research in the domain of artificial intelligence. Alternatively, game theory has been showing its multi-dimensional applications in the last few decades.

Survey data on heterogeneity in consumers' food choice in eastern India.

A consumer survey was conducted in eastern India in 2017 to understand the heterogeneity of consumers' food choice. Face-to-face interviews were conducted among urban and rural consumers from low- and middle-income households in Odisha and West Bengal, eastern India, using a structured questionnaire. A multi-stage sampling procedure was implemented with stratified random sampling as the first stage and systematic sampling as the second stage.

Unraveling heterogeneity of consumers' food choice: Implications for nutrition interventions in eastern India.

Understanding heterogeneity of consumers' food choice is critical in formulating tailored nutrition interventions. To illustrate this, we survey urban and rural consumers from low- and middle-income households in eastern India to unravel five sources of heterogeneity (5 Ws) in gastronomic systems that affect diets: (i) socioeconomic characteristics of the target population (); (ii) food environments (); (iii) eating occasions (); (iv) consumed dishes (); and (v) ingredient attributes and consumer attitudes towards food (). Diets in eastern India are predominantly starch-based featuring infrequent intake of fruits and vegetables.

Capturing diversity and cultural drivers of food choice in eastern India.

The EAT-Lancet Commission urgently called for "planetary health diets". The success of encouraging dietary shifts, however, crucially hinges on people, and more specifically on consumers' culture, context, socioeconomic status, food environment, attitudes, perceptions, beliefs, and behavior towards food choice. In India, enhanced food availability and accessibility do not readily lead to improved nutritional status.

Expert elicitation database capturing diversity and cultural drivers of food choice and nutritional implications in eastern India.

Two expert elicitation workshops were conducted in 2017 to capture the diversity and cultural drivers of food choice of low- and middle- income households in the states of West Bengal and Odisha in eastern India. Experts representing the fields of nutrition, home science, food technology, and food service industry were invited to participate. Following the "gastronomic systems research" framework, the food experts determined the eating occasions, dishes and ingredients that would culturally define the target population in their respective states.

Participatory modelling for poverty alleviation using fuzzy cognitive maps and OWA learning aggregation.

Participatory modelling is an emerging approach in the decision-making process through which stakeholders contribute to the representation of the perceived causal linkages of a complex system. The use of fuzzy cognitive maps (FCMs) for participatory modelling helps policy-makers develop dynamic quantitative models for strategising development interventions. The aggregation of knowledge from multiple stakeholders provides consolidated and more reliable results.

Evaluating poverty alleviation strategies in a developing country.

A slew of participatory and community-demand-driven approaches have emerged in order to address the multi-dimensional nature of poverty in developing nations. The present study identifies critical factors responsible for poverty alleviation in India with the aid of fuzzy cognitive maps (FCMs) deployed for showcasing causal reasoning. It is through FCM-based simulations that the study evaluates the efficacy of existing poverty alleviation approaches, including community organisation based micro-financing, capability and social security, market-based and good governance.

Designing messages for fluorosis mitigation behavior change: Role of message framing and perceived risk.

This article describes the research to develop message for fluorosis behavior change communication campaign. Using a posttest only with control experiment the study investigates the impact of perceived risk associated with advocated behavior (RISK-AB) and perceived risk associated with existing behavior (RISK-EB) on the effectiveness of framed fluorosis messages. Findings suggest that positive-frame is more appropriate when RISK-AB is high and RISK-EB is low or RISK-AB is low and RISK-EB is high or both RISK-AB and RISK-EB are low.