China's future will be determined by how its leaders manage its myriad interconnected challenges. In Fateful Decisions, leading experts from a wide range of disciplines eschew broad predictions of success or failure in favor of close analyses of today's most critical demographic, economic, social, political, and foreign policy challenges. They expertly outline the options and opportunity costs entailed, providing a cutting-edge analytic framework for understanding the decisions that will determine China's trajectory.
The field of text technologies is a capacious analytical framework that focuses on all textual records throughout human history, from the earliest periods of traceable communication—perhaps as early as 60,000 BCE—to the present day. At its core, it examines the material history of communication: what constitutes a text, the purposes for which it is intended, how it functions, and the social ends that it serves.
Despite pressure from President Donald Trump and Attorney General William Barr, Apple continues to stand its ground and refuses to re-engineer iPhones so law enforcement can unlock the devices. Apple has maintained that it has done everything required by law and that creating a "backdoor" would undermine cybersecurity and privacy for iPhone users everywhere.
Apple is right to stand firm in its position that building a "backdoor" could put user data at risk.
Democratic consolidation around the world currently faces major challenges. Threats to democracy have become more insidious, especially due to the manipulation of legal and constitutional procedures originally designed to guard democracy against arbitrary action and abuse. Free and fair elections, the cornerstone of democratic legitimacy, are under considerable stress from populism and post-truth movements, who abuse new digital communication technologies to confuse and mislead citizens.
Since the publication of the Journal of Democracy began in 1990, the political climate has shifted from one of democratic gains and optimism to what Larry Diamond labels a “democratic recession.” Underlying these changes has been a reorientation of the major axis of political polarization, from a left-right divide defined largely in economic terms toward a politics based on identity. In a second major shift, technological development has had unexpected effects—including that of facilitating the rise of identity-based social fragmentation.
Since 2006, democracy in the world has been trending downward. A number of liberal democracies are becoming less liberal, and authoritarian regimes are developing more repressive tendencies. Democracies are dying at the hands of elected authoritarian populists who neuter or take over the institutions meant to constrain them. Changes in the international environment, as well as technological developments and growing inequality, have contributed to this democratic slump.
In this paper we examine the effects of police body-worn cameras through a randomized control trial implemented in Rio de Janeiro. The paper explores the use of this technology by police officers in charge of tactical operations and officers performing “proximity” patrolling in the largest favela of Brazil, Rocinha. The study reveals that institutional and administrative limitations at Military Police of the State of Rio de Janeiro (PMERJ) were associated with limited use of the cameras –basically officers refusing to turn the cameras on.
This study is the result of over four years of active collaboration between the Poverty, Violence and Governance Lab (PovGov) and the Rio-based NGO Agency for Youth Networks (hereafter, Agency). What began in 2012 as an informal conversation between PovGov researchers and the program’s founder and director, Marcus Faustini, led to a solid partnership that has produced not only this research but also opportunities for engagement through events both in California and in Rio de Janeiro.
Can ethnically distinct communities ruled through “traditional” assemblies provide public goods and services better, than when they are ruled by leaders elected through “modern” multiparty elections? We exploit a unique institutional feature in the state of Oaxaca, Mexico, where municipalities are ruled by traditional governance institutions, to explore the effect of these forms of governance on the provision of public goods. Using locality-level census data, we study the provision of local public goods through a geographic discontinuity approach.
A criminal trial is likely the most significant interaction a citizen will ever have with the state; its conduct and adherence to norms of fairness bear directly on the quality of government, extent of democratic consolidation, and human rights. While theories of repression tend to focus on the political incentives to transgress against human rights, we examine a case in which the institutionalization of such violations follows an organizational logic rather than the political logic of regime survival or consolidation.
State interventions against drug traﬃcking organizations (DTOs) sometimes work to improve security, but often exacerbate violence. To understand why, this paper oﬀers a theory about diﬀerent social order dynamics among ﬁve types of criminal regimes – Insurgent, Bandit, Symbiotic, Predatory, and Anarchic. These diﬀer according to whether criminal groups confront or collude with state actors; predate or cooperate with the community; and hold a monopoly or contest territory with rival DTOs.
Why do drug trafficking organizations (DTOs) sometimes prey on the communities in which they operate but sometimes provide assistance to these communities? What explains their strategies of extortion and co-optation toward civil society? Using new survey data from Mexico, including list experiments to elicit responses about potentially illegal behavior, this article measures the prevalence of extortion and assistance among DTOs.
Accurate automated segmentation of remote sensing data could benefit applications from land cover mapping and agricultural monitoring to urban development surveyal and disaster damage assessment. While convolutional neural networks (CNNs) achieve state-of-the-art accuracy when segmenting natural images with huge labeled datasets, their successful translation to remote sensing tasks has been limited by low quantities of ground truth labels, especially fully segmented ones, in the remote sensing domain.
The recent shift in the United States from coal to natural gas as a primary feedstock for the production of electric power has reduced the intensity of sectoral carbon dioxide emissions, but—due to gaps in monitoring—its downstream pollution-related effects have been less well understood. Here, I analyse old units that have been taken offline and new units that have come online to empirically link technology switches to observed aerosol and ozone changes and subsequent impacts on human health, crop yields and regional climate.
The advent of multiple satellite systems capable of resolving smallholder agricultural plots raises possibilities for significant advances in measuring and understanding agricultural productivity in smallholder systems. However, since only imperfect yield data are typically available for model training and validation, assessing the accuracy of satellite-based estimates remains a central challenge.
Many mountainous and high‐latitude regions have experienced more precipitation as rain rather than snow due to warmer winter temperatures. Further decreases in the annual snow fraction are projected under continued global warming, with potential impacts on flood risk. Here, we quantify the size of streamflow peaks in response to both seasonal and event‐specific rain‐fraction using stream gage observations from watersheds across the western United States.
Once hailed as a great force for human empowerment and liberation, social media and related digital tools have rapidly come to be regarded as a major threat to democratic stability and human freedom. Based on a deeply problematic business model, social-media platforms are showing the potential to exacerbate hazards that range from authoritarian privacy violations to partisan echo chambers to the spread of malign disinformation. Authoritarian forces are also profiting from a series of other advances in digital technology, notably including the revolution in artificial intelligence (AI).
We present the results of a randomized trial testing the impact of providing free eyeglasses on academic outcomes of junior high school students in a poor rural area of western China. We find that providing free prescription eyeglasses approximately halves dropout rates over a school year among students who did not own eyeglasses at baseline. Effects on dropout are mirrored by improvements in student performance on standardized exams in math and aspirations for further schooling
Machine learning and satellite data of crops shows that farms that till the soil less can increase yields of corn and soybeans and improve the health of the soil. Farmers have resisted a switch to reduced tilling because it was believed to reduce yields. Instead, it may increase yields while lowering production costs and reducing soil erosion.