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A new study reveals particles that were released from nuclear plants damaged in the devastating 2011 Tohoku earthquake and tsunami contained small amounts of radioactive plutonium.
IN 2016 WE LEARNED ABOUT EFFORTS BY FOREIGN ACTORS to interfere in the U.S. election by injecting misinformation and disinformation into public discourse on social media. False events and personas added to the polarization and manipulation of voters.
Few issues in the policy response to the coronavirus disease 2019 (COVID-19) pandemic have inspired as impassioned debate as school reopening. There is broad agreement that school closures involve heavy burdens on students, parents, and the economy, with profound equity implications, but also that the risk of outbreaks cannot be eliminated even in a partial reopening scenario with in-school precautions. Consensus largely ends there, however: the approaches states and localities have taken to integrating these concerns into school reopening plans are highly variable.
VOTERS ARE BEING INUNDATED WITH POLITICAL ADVERTISING on social media and online platforms during the 2020 election season. Campaigns, PACs and third parties have added new tools and tactics for gathering data on voters and targeting them with advertising, and now they can pinpoint niches of potential voters on social media in ways unknown in prior election cycles.
On August 17, 2020, the Los Angeles Unified School District launched a program to test more than 700,000 students and staff for SARS-CoV-2. The district is paying a private contractor to provide next-day, early-morning results for as many as 40,000 tests daily. As of October 4, a total of 34,833 people had been tested at 42 sites. The program is notable not only because it’s ambitious, but also because it’s unusual: testing is conspicuously absent from school reopening plans in many other districts.
On August 17, 2020, the Los Angeles Unified School District launched a program to test more than 700,000 students and staff for SARS-CoV-2. The district is paying a private contractor to provide next-day, early-morning results for as many as 40,000 tests daily. As of October 4, a total of 34,833 people had been tested at 42 sites. The program is notable not only because it’s ambitious, but also because it’s unusual: testing is conspicuously absent from school reopening plans in many other districts.
AS WE APPROACH THE 2020 ELECTION IN THE UNITED STATES, content moderation on social media platforms is taking center stage. From speech issues on Facebook and Twitter to YouTube videos and TikTok brigands, the current election season is being reshaped by curation concerns about what’s allowed online, what’s not, upranking and downranking, and who’s deciding.
Even before the covid-19 pandemic, virtual consultations (also called telemedicine consultations) were on the rise, with many healthcare systems advocating a digital-first approach. At the start of the pandemic, many GPs and specialists turned to video consultations to reduce patient flow through healthcare facilities and limit infectious exposures. Video and telephone consultations also enable clinicians who are well but have to self-isolate, or who fall into high risk groups and require shielding, to continue providing medical care. The scope for video consultations for long term conditio
Why did Russia's relations with the West shift from cooperation a few decades ago to a new era of confrontation today? Some explanations focus narrowly on changes in the balance of power in the international system, or trace historic parallels and cultural continuities in Russian international behavior. For a complete understanding of Russian foreign policy today, individuals, ideas, and institutions—President Vladimir Putin, Putinism, and autocracy—must be added to the analysis.
Our 2015 survey experiment—reported in the 2017 International Security article “Revisiting Hiroshima in Iran”—asked a representative sample of Americans to choose between continuing a ground invasion of Iran that would kill an estimated 20,000 U.S. soldiers or launching a nuclear attack on an Iranian city that would kill an estimated 100,000 civilians.1 Fifty-six percent of the respondents preferred the nuclear strike.
In late January 2020, China’s government initiated its first aggressive measures to combat COVID-19 by forbidding individuals from leaving their homes, radically limiting public transportation, cancelling or postponing large public events, and closing schools across the country. The rollout of these measures coincided with China’s Lunar New Year holiday, during which more than 280 million people had returned from their places of work to their home villages in rural areas. The disease control policies remained in place until late February and early March, when they were gradually loosened to
When an experienced provider opts to leave a healthcare workforce (attrition), there are significant costs, both direct and indirect. Turnover of healthcare providers is underreported and understudied, despite evidence that it negatively impacts care delivery and negatively impacts working conditions for remaining providers. In the Veterans Affairs (VA) healthcare system, attrition of women’s health primary care providers (WH-PCPs) threatens a specially trained workforce; it is unknown what factors contribute to, or protect against, their attrition.
THE EMERGENCE OF A DIGITAL SPHERE where public debate takes place raises profound questions about the connection between online information and polarization, echo chambers, and filter bubbles. Does the information ecosystem created by social media companies support the conditions necessary for a healthy democracy? Is it different from other media? These are particularly urgent questions as the United States approaches a contentious 2020 election during the COVID-19 pandemic.
Adrian Daub’s What Tech Calls Thinking is a lively dismantling of the ideas that form the intellectual bedrock of Silicon Valley. Equally important to Silicon Valley’s world-altering innovation are the language and ideas it uses to explain and justify itself. And often, those fancy new ideas are simply old motifs playing dress-up in a hoodie.
THE 2020 ELECTION IN THE UNITED STATES will take place on November 3 in the midst of a global pandemic, economic downturn, social unrest, political polarization, and a sudden shift in the balance of power in the U.S Supreme Court. On top of these issues, the technological layer impacting the public debate, as well as the electoral process itself, may well determine the election outcome.
Although health care billing claims data have been widely used to study health care use, spending, and policy changes, their use in the study of infectious disease has been limited. Other data sources, including from the Centers for Disease Control and Prevention (CDC), have provided timelier reporting to outbreak experts.
Book Synopsis:
As the glittering skyline in Shanghai seemingly attests, China has quickly transformed itself from a place of stark poverty into a modern, urban, technologically savvy economic powerhouse. But as Scott Rozelle and Natalie Hell show in Invisible China, the truth is much more complicated and might be a serious cause for concern.
Although health care billing claims data have been widely used to study health care use, spending, and policy changes, their use in the study of infectious disease has been limited. Other data sources, including from the Centers for Disease Control and Prevention (CDC), have provided timelier reporting to outbreak experts.
India’s COVID-19 lockdown is widely believed to have disrupted critical health services, but its effect on non-COVID health outcomes is largely unknown. Comparing mortality trends among dialysis patients in the eight months around the lockdown with the previous year, we document a 64% increase in mortality between March and May 2020 and an estimated 22-25% total excess mortality through July 2020. The mortality increase is greater among females and disadvantaged groups.
Epidemiological modeling has emerged as a crucial tool to help decision-makers combat COVID-19, with calls for non-pharmaceutical interventions such as stay-at-home orders and the wearing of masks. But those models have become ubiquitous and part of the public lexicon — so Nirav Shah and Jason Wang write that they should follow an impact-oriented approach.
Cardiovascular disease is the leading cause of death among women in the U.S. and identification of sex-specific risk factors could enhance cardiovascular risk assessment and prevention. Pregnancy is an exposure unique to women: 85% of women give birth at least once in their lives, and up to 30% may experience an adverse pregnancy outcome (APO).
Voluntary physical distancing is essential for preventing the spread of COVID-19. We assessed the role of political partisanship in individuals’ compliance with physical distancing recommendations of political leaders using data on mobility from a sample of mobile phones in 3,100 counties in the United States during March 2020, county-level partisan preferences, information about the political affiliation of state governors, and the timing of their communications about COVID-19 prevention.
Where is nuclear arms control—negotiated restraints on the deadliest weapons of mass destruction—headed? This 50-year tool of US national security policy is currently under attack. The New Strategic Arms Reduction Treaty (New START), the last remaining nuclear arms agreement with the Russian Federation, will go out of force in February 2021 unless it is extended for an additional five years as the treaty permits. At this moment, nothing is on the horizon to replace it, though the Trump administration has promised a new and more extensive agreement that includes China as well as Russia.
High resolution satellite imagery and modern machine learning methods hold the potential to fill existing data gaps in where crops are grown around the world at a sub-field level. However, high resolution crop type maps have remained challenging to create in developing regions due to a lack of ground truth labels for model development. In this work, we explore the use of crowdsourced data, Sentinel-2 and DigitalGlobe imagery, and convolutional neural networks (CNNs) for crop type mapping in India.