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This paper investigates the relationship between conflict trajectories and years of schooling in India for girls and boys. It adopts propensity score matching methods on panel data from the India Human Development Survey (2004/05-2011/12) merged with conflict data from the South Asia Terrorism Portal. Conflict is measured according to the dynamic trajectory of Naxal violence-related fatalities at the district level, distinguishing areas of chronic conflict with those experiencing dynamism in conflict intensity over time. ATT estimates indicate that conflict is associated with a reduction in years of schooling for both genders, though relatively high for girls (by a quarter of a year for girls and by 0.16 of a year for boys), driven by large reductions in school accumulation for girls living in areas of chronic conflict. Results are consistent when adopting different methods, alternative measures of conflict fatalities, and accounting for other conflicts and selective migration. Examining transmission mechanisms suggest that household spending on girls' education may be de-prioritised amidst conflict, while conflict may also weaken or destroy school infrastructure. Results suggest that policy responses should prioritise girls' education in areas of chronic conflict, not only in 'fragile states' but in countries where conflict remains a subnational concern. [ABSTRACT FROM AUTHOR]

The ability to assess and evaluate the condition of existing bridges adequately and accurately is a critical aspect of bridge maintenance and management, which involves condition assessments. Multiple hazards can affect existing bridges, making them vulnerable or risky, and any decision support concerning their management requires special attention. A rational and systematic framework for making practical decisions about the hazards present in a region and the appropriate level of risk is presented in this paper. An analytical hierarchy process (AHP) framework is proposed to rank hazards in hierarchical order based on a region's characteristics and a suitable analysis range, which provides the degree of risk that could jeopardise bridges. The proposed method can assist decision makers in selecting appropriate strategies for improving existing bridges. As a result, bridge inspection costs can be significantly reduced, maintenance and repair funds can be more effectively allocated and the safety, mobility, longevity and reliability of highway transportation assets can be improved. The approach was used in a case study of existing reinforced concrete (RC) bridges in the Barak Valley region in Assam, India. Such an approach is novel to the Indian subcontinent. [ABSTRACT FROM AUTHOR]

Scholars of disaster politics debate how far natural hazards cause or catalyse political change. This paper builds on recent scholarship on tipping points and social contracts to argue that two case studies of historical earthquakes in 1930s British‐colonised India invite a focus on the dynamics of cooperation and conflict between state and non‐state actors. Officials of the colonial state and its nationalist rivals cooperated after one earthquake even though they otherwise bitterly opposed each other. Cooperation broke down after the second event, just one year later. Yet, in both cases, officials and nationalist leaders shared a broad vision for Indian society, which pushed both sides actively to seek to recover the social and economic status quo ante, preventing potential tipping points from crystallising. These case studies reveal how and why highly fraught social contracts can survive major disasters. The colonial state's transient and reactive approach to disaster governance continued to impact on post‐independence India. [ABSTRACT FROM AUTHOR]

South Asia's coastlines are the most densely inhabited and economically active ecosystems have already begun to shift due to climate change. Over the past century, climate change has contributed to a gradual and considerable rise in sea level, which has eroded shorelines and increased storm-related coastal flooding. The differences in estuary water quality over time, both seasonally and annually, have been efficiently controlled by changes in stream flow. Assessment requires digitized analytical platforms to lower the risk of catastrophes associated with climate change in coastal towns. To predict future changes in an area's vulnerability and waste planning decisions, a prospective investigation requires qualitative and quantitative scenarios. The paper concentrates on the development of a forecasting platform to evaluate the climate change and waste water impacts on the south coastal region of India. Due to the enhancement of Digitization, a multi-model ensemble combined with manifold learning is implemented on the multi-case models influencing the uncertainty probability rate of 23% and can be ignored with desired precaution on the coastal environmental. Because Manifold Learning Analysis results cannot be utilized directly in wastewater management studies because of their inherent biases, a statistical bias correction and meta-feature estimation have been implemented. Within the climate-hydrology modeling chain, the results demonstrate a wide range of expected changes in water resources in some places. Experimental statistics reveal that the forecasted rate of 91.45% will be the better choice to reduce the uncertainty of climatic change and wastewater management. • Development of Multi-Objective Neighborhood Embedding Ensemble Strategy (NEES) to predict waste water and climate change impacts. • Manifold learning with metafeatures estimator model to forecast the temperature index and oxygen depletion. • Enhanced Coastal Management system with multi-parameter reliability model for South Asia Coastal region to safeguard the environmental eco-stability. • Manifold predictor models for waste water impact and climatic influence with maximum data samples with optimized cost function. [ABSTRACT FROM AUTHOR]