Irrigation has been pivotal in wheat’s rise as a major crop in India and is likely to be increasingly important as an adaptation response to climate change. Here we use historical data across 40 years to quantify the contribution of irrigation to wheat yield increases and the extent to which irrigation reduces sensitivity to heat. We estimate that national yields in the 2000s are 13% higher than they would have been without irrigation trends since 1970. Moreover, irrigated wheat exhibits roughly one-quarter of the heat sensitivity estimated for fully rainfed conditions. However, yield gains from irrigation expansion have slowed in recent years and negative impacts of warming have continued to accrue despite lower heat sensitivity from the widespread expansion of irrigation. We conclude that as constraints on expanding irrigation become more binding, furthering yield gains in the face of additional warming is likely to present an increasingly difficult challenge.

Feeding a growing population while reducing negative environmental impacts is one of the greatest challenges of the coming decades. We show that microsatellite data can be used to detect the impact of sustainable intensification interventions at large scales and to target the fields that would benefit the most, thereby doubling yield gains. Our work reveals that satellite data provide a scalable approach to sustainably increase food production.

We assess and compare computer science skills among final-year computer science undergraduates (seniors) in four major economic and political powers that produce approximately half of the science, technology, engineering, and mathematics graduates in the world. We find that seniors in the United States substantially outperform seniors in China, India, and Russia by 0.76–0.88 SDs and score comparably with seniors in elite institutions in these countries. Seniors in elite institutions in the United States further outperform seniors in elite institutions in China, India, and Russia by ∼0.85 SDs. The skills advantage of the United States is not because it has a large proportion of high-scoring international students. Finally, males score consistently but only moderately higher (0.16–0.41 SDs) than females within all four countries.

First proposed in 1964 by the Sri Lankan prime minister, the Indian Ocean Zone of Peace [IOZP] entailed eradication of foreign military bases from the Indian Ocean region as well its denuclearisation. During the Cold War, India was one of the most vehement supporters of IOZP. If some saw India’s interests in the IOZP as another manifestation of Nehruvian idealism, others viewed it as a part of its non-aligned foreign policy. This analysis argues otherwise. India’s record on IOZP reveals a policy of selective alignment with Great Powers and its adaptation to the principles of power politics in international relations. India’s support for the presence of one or the other Great Powers in the Indian Ocean region found premise on balancing those it considered hostile to its national security interests. In public, India supported the call for IOZP as dictated by its non-aligned foreign policy; privately, New Delhi remained highly sceptical and often worked to IZOP’s detriment. Under the cloak of IOZP, India not only pursued diplomatic alignment with Great Powers but also ensured that its own regional ambitions remain unchecked. In this picture, India’s role was not only supportive of the Cold War but to the extent it could use the opportunities provided by superpower rivalry in the region to further its own ends, even determinative of the process.

Millions of people worldwide are absent from their country’s census. Accurate, current, and granular population metrics are critical to improving government allocation of resources, to measuring disease control, to responding to natural disasters, and to studying any aspect of human life in these communities. Satellite imagery can provide sufficient information to build a population map without the cost and time of a government census. We present two Convolutional Neural Network (CNN) architectures which efficiently and effectively combine satellite imagery inputs from multiple sources to accurately predict the population density of a region. In this paper, we use satellite imagery from rural villages in India and population labels from the 2011 SECC census. Our best model achieves better performance than previous papers as well as LandScan, a community standard for global population distribution.

This article argues that China’s rise and its growing military power have intensified the Sino-Indian security dilemma. For a long time after the 1962 war, India’s military posture along the India–China border was mostly defensive in nature and could be characterized as imposing “deterrence by denial.” However, over the last decade, China’s growth trajectory coupled with rapid modernization of its military called into question the efficacy of this approach. India now feels much more vulnerable to China’s increasing military power both on the land frontier as well as in the maritime domain. The increasing intensity of this security dilemma has informed a consequent shift in India’s military strategy vis-à-vis China to one of “deterrence by punishment.” Theoretically, this article examines how changes in the severity of a security dilemma can lead to changes in military strategy. While doing so it explains India’s current military strategy to deal with the challenge posed by China.

The decreasing effectiveness of antimicrobial agents is a global public health threat, yet risk factors for community-acquired antimicrobial resistance (CA-AMR) in low-income settings have not been clearly elucidated. Our aim was to identify risk factors for CA-AMR with extended-spectrum β-lactamase (ESBL)–producing organisms among urban-dwelling women in India. We collected microbiological and survey data in an observational study of primigravidae women in a public hospital in Hyderabad, India. We analyzed the data using multivariate logistic and linear regression and found that 7% of 1,836 women had bacteriuria; 48% of isolates were ESBL-producing organisms. Women in the bottom 50th percentile of income distribution were more likely to have bacteriuria (adjusted odds ratio 1.44, 95% CI 0.99–2.10) and significantly more likely to have bacteriuria with ESBL-producing organisms (adjusted odds ratio 2.04, 95% CI 1.17–3.54). Nonparametric analyses demonstrated a negative relationship between the prevalence of ESBL and income.