Paper by Andy Cao, Jason M. Lindo & Jiee Zhong: “We will investigate whether Donald Trump’s “Chinese Virus” tweets contributed to the rise of anti-Asian incidents. We find that the number of incidents spiked following Trump’s initial “Chinese Virus” tweets and the subsequent dramatic rise in internet search activity for the phrase. Difference-in-differences and event-study analyses leveraging spatial variation indicate that this spike in anti-Asian incidents was significantly more pronounced in counties that supported Donald Trump in the 2016 presidential election relative to those that supported Hillary Clinton. We estimate that anti-Asian incidents spiked by 4000 percent in Trump-supporting counties, over and above the spike observed in Clinton-supporting counties…(More)”.
Society 5.0, Digital Transformation and Disasters
Book edited by Sakiko Kanbara, Rajib Shaw, Naonori Kato, Hiroyuki Miyazaki, and Akira Morita: “This book presents the evolution of the science technology paradigm in Japan and analyzes the critical community and local governance issues from the perspectives of the changing risk landscape, Society 5.0, and digital transformation. It also provides suggestions for the future development of a resilient society and community, by drawing lessons from other countries.Advancements in science technology in recent decades in Japan and the world might have increased our capacity to tackle the adverse human consequences of various kinds of disasters and environmental issues. However, the accompanied and interlinking phenomena of urbanization, climate change, rural to urban migration, population decreases, and aged population have posed new challenges, especially in the small, medium-sized cities, and in rural areas of Japan. This is also enhanced by the risk of cascading, complex and systemic risk, which is defining a new normal as “living with uncertainties”.
Society 5.0 is defined as “A human-centered society that balances economic advancement with the resolution of social problems by a system that highly integrates cyberspace and physical space.” Society 5.0 was proposed in the 5th Science and Technology Basic Plan as a future society that Japan should aspire to. Society 5.0 achieves a high degree of convergence between cyberspace (virtual space) and physical space (real space), compared with the past information society (Society 4.0) that people would access a cloud service (databases) in cyberspace via the Internet and search for, retrieve, and analyze information or data…(More)”.
Minben 民本 as an alternative to liberal democracy
Essay by Rongxin Li: “Although theorists have proposed non-Western types of democracy, such as Asian Democracy, they have nevertheless actively marginalised these non-Western types. This is partly due to Asian Democracy’s inextricable link with Confucian traditions – many of which people commonly assume to be anti-democratic. This worry over Confucian values does not, however, detract from the fact that scholars are deliberately ignoring non-Western types of democracy because they do not follow Western narratives. ..
Minben is a paternalistic model of democracy. It does not involve multi-party elections and, unlike in liberal democracy, disorderly public participation is not one of its priorities. Minben relies on a theory of governance that believes carefully selected elites, usually a qualified minority, can use their knowledge and the constant pursuit of virtuous conduct to deliver the common good.
Liberal democracy maintains its legitimacy through periodic and competitive elections. Minben retains its legitimacy through its ‘output’. It is results, or policy implementation, oriented. Some argue that this performance-driven democracy cannot endure because it depends on people buying into it and consistently supporting it. But we could say the same of any democratic regime. Liberal democracy’s legitimacy is not unassailable – nor is it guaranteed.
Indeed, liberal democracy and Minben have more in common than many Western theorists concede. As Yu Keping underlined, stability is paramount in Chinese Communist Party ideology. John Keane, for example, once likened government and its legitimacy to a slippery egg. The greater the social instability, which may be driven by displeasure over the performance of ruling elites, the slipperier the egg becomes for the elites in question. Both liberal democratic regimes and Minben regimes face the same problem of dealing with social turmoil. Both look to serving the people as a means to staying atop the egg…
Minben – and this may surprise certain Western theorists – does not exclude public participation and deliberation. These instruments convey public voices and concerns to the selected technocrats tasked with deciding for the people. There is representation based on consultation here. Technocrats seek to make good decisions based on full consultation and analysis of public preferences…(More)”.
A ‘Feminist’ Server to Help People Own Their Own Data
Article by Padmini Ray Murray: “All of our digital lives reside on servers – mostly in corporate server farms owned by the likes of Google, Amazon, Apple, and Microsoft. These farms contain machines that store massive volumes of data generated by every single user of the internet. These vast infrastructures allow people to store, connect, and exchange information on the internet.
Consequently, there is a massive distance between users and where and how the data is stored, which means that individuals have very little control over how their data is stored and used. However, due to the huge reliance on these massive corporate technologies, individuals are left with very little choice but to accept the terms dictated by these businesses. The conceptual alternative of the feminist server was created by groups of feminist and queer activists who were concerned about how little power they have over owning and managing their data on the internet. The idea of the feminist server was described as a project that is interested in “creating a more autonomous infrastructure to ensure that data, projects and memory of feminist groups are properly accessible, preserved and managed” – a safe digital library to store and manage content generated by feminist groups. This was also a direct challenge to the traditionally male-dominated spaces of computer hardware management, spaces which could be very exclusionary and hostile to women or queer individuals who might be interested in learning how to use these technologies.
There are two related ways by which a server can be considered as feminist. The first is based on who runs the server, and the second is based on who owns the server. Feminist critics have pointed out how the running of servers is often in the hands of male experts who are not keen to share and explain the knowledge required to maintain a server – a role known as a systems admin or, colloquially, a “sysadmin” person. Thus the concept of feminist servers emerged out of a need to challenge patriarchal dominance in hardware and infrastructure spaces, to create alternatives that were nurturing, anti-capitalist, and worked on the basis of community and solidarity…(More)”.
Breakthroughs in Smart City Implementation
Book edited by Leo P. Ligthart and Ramjee Prasad: “Breakthroughs in Smart City Implementation should give answers on a wide variety of present social, political and technological problems. Green and long-lasting solutions are needed in coming 10 years and beyond on areas as green and long lasting solutions for improving air quality, quality of life of residents in cities, traffic congestions and many more.Two Conasense branches, established in China and in India, report in six book chapters on initiatives needed to overcome the obvious shortcomings at present. Three more chapters complete this fifth Conasense book: an introductory chapter concerning Smart City from Conasense perspective, a chapter showing that not technology but the people in the cities are most important and a chapter on recent results and prospects of “Human in the Loop” in smart vehicular systems…(More)”.
The Low Threshold for Face Recognition in New Delhi
Article by Varsha Bansal: “Indian law enforcement is starting to place huge importance on facial recognition technology. Delhi police, looking into identifying people involved in civil unrest in northern India in the past few years, said that they would consider 80 percent accuracy and above as a “positive” match, according to documents obtained by the Internet Freedom Foundation through a public records request.
Facial recognition’s arrival in India’s capital region marks the expansion of Indian law enforcement officials using facial recognition data as evidence for potential prosecution, ringing alarm bells among privacy and civil liberties experts. There are also concerns about the 80 percent accuracy threshold, which critics say is arbitrary and far too low, given the potential consequences for those marked as a match. India’s lack of a comprehensive data protection law makes matters even more concerning.
The documents further state that even if a match is under 80 percent, it would be considered a “false positive” rather than a negative, which would make that individual “subject to due verification with other corroborative evidence.”
“This means that even though facial recognition is not giving them the result that they themselves have decided is the threshold, they will continue to investigate,” says Anushka Jain, associate policy counsel for surveillance and technology with the IFF, who filed for this information. “This could lead to harassment of the individual just because the technology is saying that they look similar to the person the police are looking for.” She added that this move by the Delhi Police could also result in harassment of people from communities that have been historically targeted by law enforcement officials…(More)”
China May Be Chasing Impossible Dream by Trying to Harness Internet Algorithms
Article by Karen Hao: “China’s powerful cyberspace regulator has taken the first step in a pioneering—and uncertain—government effort to rein in the automated systems that shape the internet.
Earlier this month, the Cyberspace Administration of China published summaries of 30 core algorithms belonging to two dozen of the country’s most influential internet companies, including TikTok owner ByteDance Ltd., e-commerce behemoth Alibaba Group Holding Ltd. and Tencent Holdings Ltd., owner of China’s ubiquitous WeChat super app.
The milestone marks the first systematic effort by a regulator to compel internet companies to reveal information about the technologies powering their platforms, which have shown the capacity to radically alter everything from pop culture to politics. It also puts Beijing on a path that some technology experts say few governments, if any, are equipped to handle….
One important question the effort raises, algorithm experts say, is whether direct government regulation of algorithms is practically possible.
The majority of today’s internet platform algorithms are based on a technology called machine learning, which automates decisions such as ad-targeting by learning to predict user behaviors from vast repositories of data. Unlike traditional algorithms that contain explicit rules coded by engineers, most machine-learning systems are black boxes, making it hard to decipher their logic or anticipate the consequences of their use.
Beijing’s interest in regulating algorithms started in 2020, after TikTok sought an American buyer to avoid being banned in the U.S., according to people familiar with the government’s thinking. When several bidders for the short-video platform lost interest after Chinese regulators announced new export controls on information-recommendation technology, it tipped off Beijing to the importance of algorithms, the people said…(More)”.
Why Japan is building smart cities from scratch
Article by Tim Hornyak: “By 2050, nearly 7 out of 10 people in the world will live in cities, up from just over half in 2020. Urbanization is nothing new, but an effort is under way across many high-income countries to make their cities smarter, using data, instrumentation and more efficient resource management. In most of these nations, the vast majority of smart-city projects involve upgrades to existing infrastructure. Japan stands out for its willingness to build smart communities from scratch as it grapples with a rapidly ageing population and a shrinking workforce, meaning that there are fewer people of working age to support older people.
In 2021, the proportion of Japan’s population aged 65 and over hit 29.1%, the highest in the world. By 2036 it will be 33%. Regional cities, especially, face a long, slow economic decline.
As a resource-poor, disaster-prone country, Japan has also had to pursue energy efficiency and resilience following the 2011 Tohoku earthquake and the tsunamis it triggered. The resulting meltdowns at the Fukushima Daiichi nuclear power plant initially encouraged a shift away from nuclear power, which accounted for less than 4% of Japan’s energy use in 2020. However, there are growing calls, led by Japan’s ruling Liberal Democratic Party, for some reactors to be reopened to provide energy security and tackle rising fuel prices…(More)”.
Big, Open Data for Development: A Vision for India
Paper by Sam Asher, Aditi Bhowmick, Alison Campion, Tobias Lunt and Paul Novosad: “The government generates terabytes of data directly and incidentally in the operation of public programs. For intrinsic and instrumental reasons, these data should be made open to the public. Intrinsically, a right to government data is implicit in the right to information. Instrumentally, open government data will improve policy, increase accountability, empower citizens, create new opportunities for private firms, and lead to development and economic growth. A series of case studies demonstrates these benefits in a range of other contexts. We next examine how government can maximize social benefit from government data. This entails opening administrative data as far upstream in the data pipeline as possible. Most administrative data can be minimally aggregated to protect privacy, while providing data with high geographic granularity. We assess the status quo of the Government of India’s data production and dissemination pipeline, and find that the greatest weakness lies in the last mile: making government data accessible to the public. This means more than posting it online; we describe a set of principles for lowering the access and use costs close to zero. Finally, we examine the use of government data to guide policy in the COVID-19 pandemic. Civil society played a key role in aggregating, disseminating, and analyzing government data, providing analysis that was essential to policy response. However, key pieces of data, like testing rates and seroprevalence distribution, were unnecessarily withheld by the government, data which could have substantially improved the policy response. A more open approach to government data would have saved many lives…(More)”.
Inside India’s plan to train 3.1 million 21st century civil servants
Article by Anirudh Dinesh and Beth Simone Noveck: “Prime Minister Modi established the Government of India’s Capacity Building Commission (CBC) on April 1, 2021 to reimagine how the state can deliver high-quality citizen services. According to the Commission’s chairman, Adil Zainulbhai and its secretary, Hemang Jani, the Commission will work with 93 central government departments and more than 800 training institutions across India to train over three million central government employees.
The competencies that civil servants are trained in should not be defined from the top down
By training employees, especially those who interact with citizens on a daily basis like those in the railways and postal departments, the hope is to impart new ways of working that translate into more effective and trustworthy government and better quality interactions with residents. The Commission has set itself two “north stars” or stretch goals to accomplish, namely to contribute to improving the “ease of living” for citizens and to advance Prime Minister Modi’s vision to make India a $5 trillion economy…
The Capacity Building Commission’s philosophy is that the competencies that civil servants are trained in should not be defined from the top down. Rather, the Commission wants each ministry to answer: What is the single most important thing we need to accomplish and then define the competencies they need to achieve that goal. …
An important first step in creating a capacity building programme is to understand what competencies already exist (or not) in the civil service. We asked both Zainulbhai and Jani about the CBC’s thinking about creating such a baseline of skills. The Commission’s approach, Jani explained to us, is to ask each ministry to look at its training needs from three “lenses:”
- Does the ministry have the capacity to deliver on “national priorities”? And are government employees aware of these national priorities?
- Does the ministry have the capacity necessary to deliver “citizen-centric” services?
- The “technology lens”: Do civil servants not only understand the challenges posed by technology but also appreciate new technologies and the solutions that could come from them?
The Commission also looks at capacity building on three levels:
- The individual level: What knowledge, skill and attitude an individual needs.
- The organisation level: What rules and procedures might be hindering service delivery.
- The institutional level: How to create an enabling environment for employees to upskill themselves resulting in better public services…(More)”