What Collective Narcissism Does to Society


Essay by  Scott Barry Kaufman: “In 2005, the psychologist Agnieszka Golec de Zavala was researching extremist groups, trying to understand what leads people to commit acts of terrorist violence. She began to notice something that looked a lot like what the 20th-century scholars Theodor Adorno and Erich Fromm had referred to as “group narcissism”: Golec de Zavala defined it to me as “a belief that the exaggerated greatness of one’s group is not sufficiently recognized by others,” in which that thirst for recognition is never satiated. At first, she thought it was a fringe phenomenon, but important nonetheless. She developed the Collective Narcissism Scale to measure the severity of group-narcissistic beliefs, including statements such as “My group deserves special treatment” and “I insist upon my group getting the respect that is due to it” with which respondents rate their agreement.

Sixteen years later, Golec de Zavala is a professor at SWPS University, in Poland, and a lecturer at Goldsmiths, University of London, leading the study of group narcissism—and she’s realized that there’s nothing fringe about it. This thinking can happen in seemingly any kind of assemblage: a religious, political, gender, racial, or ethnic group, but also a sports team, club, or cult. Now, she said, she’s terrified at how widely she’s finding it manifested across the globe.

Collective narcissism is not simply tribalism. Humans are inherently tribal, and that’s not necessarily a bad thing. Having a healthy social identity can have an immensely positive impact on well-being. Collective narcissists, though, are often more focused on out-group prejudice than in-group loyalty. In its most extreme form, group narcissism can fuel political radicalism and potentially even violence. But in everyday settings, too, it can keep groups from listening to one another, and lead them to reduce people on the “other side” to one-dimensional characters. The best way to avoid that is by teaching people how to be proud of their group—without obsessing over recognition….(More)”.

Against longtermism


Essay by Phil Torres: “The point is that longtermism might be one of the most influential ideologies that few people outside of elite universities and Silicon Valley have ever heard about. I believe this needs to change because, as a former longtermist who published an entire book four years ago in defence of the general idea, I have come to see this worldview as quite possibly the most dangerous secular belief system in the world today. But to understand the nature of the beast, we need to first dissect it, examining its anatomical features and physiological functions….

Why do I think this ideology is so dangerous? The short answer is that elevating the fulfilment of humanity’s supposed potential above all else could nontrivially increase the probability that actual people – those alive today and in the near future – suffer extreme harms, even death. Consider that, as I noted elsewhere, the longtermist ideology inclines its adherents to take an insouciant attitude towards climate change. Why? Because even if climate change causes island nations to disappear, triggers mass migrations and kills millions of people, it probably isn’t going to compromise our longterm potential over the coming trillions of years. If one takes a cosmic view of the situation, even a climate catastrophe that cuts the human population by 75 per cent for the next two millennia will, in the grand scheme of things, be nothing more than a small blip – the equivalent of a 90-year-old man having stubbed his toe when he was two.

Bostrom’s argument is that ‘a non-existential disaster causing the breakdown of global civilisation is, from the perspective of humanity as a whole, a potentially recoverable setback.’ It might be ‘a giant massacre for man’, he adds, but so long as humanity bounces back to fulfil its potential, it will ultimately register as little more than ‘a small misstep for mankind’. Elsewhere, he writes that the worst natural disasters and devastating atrocities in history become almost imperceptible trivialities when seen from this grand perspective. Referring to the two world wars, AIDS and the Chernobyl nuclear accident, he declares that ‘tragic as such events are to the people immediately affected, in the big picture of things … even the worst of these catastrophes are mere ripples on the surface of the great sea of life.’

This way of seeing the world, of assessing the badness of AIDS and the Holocaust, implies that future disasters of the same (non-existential) scope and intensity should also be categorised as ‘mere ripples’. If they don’t pose a direct existential risk, then we ought not to worry much about them, however tragic they might be to individuals. As Bostrom wrote in 2003, ‘priority number one, two, three and four should … be to reduce existential risk.’ He reiterated this several years later in arguing that we mustn’t ‘fritter … away’ our finite resources on ‘feel-good projects of suboptimal efficacy’ such as alleviating global poverty and reducing animal suffering, since neither threatens our longterm potential, and our longterm potential is what really matters…(More)”.

We need to talk about techie tunnel vision


Article by Gillian Tett :”Last year, the powerful US data company Palantir filed documents for an initial public offering. Included was a remarkable letter to investors from Alex Karp, the CEO, that is worth remembering now.

“Our society has effectively outsourced the building of software that makes our world possible to a small group of engineers in an isolated corner of the country,” he wrote. “The question is whether we also want to outsource the adjudication of some of the most consequential moral and philosophical questions of our time.”

Karp added, “The engineering elite in Silicon Valley may know more than most about building software. But they do not know more about how society should be organized or what justice requires.” To put it more bluntly, techies might be brilliant and clever at what they do, but that doesn’t make them qualified to organise our lives. It was a striking statement from someone who is himself an ultra techie and whose company’s extensive military and intelligence links have sparked controversy

The good news is that people in his position are finally prepared to talk about it. The even better news is that there are experiments under way to combat techie tunnel vision. In Silicon Valley, for instance, Big Tech companies are hiring social scientists. Other innovation hubs show promising signs too. In Canberra, Genevieve Bell, a former vice-president at Intel, has launched a blended social and computer science AI institute. These initiatives aim to blend AI with what I call “anthropological intelligence” — a second type of “AI” that provides a sense of social context.

The bad news is that such initiatives remain modest, and there is still extreme information asymmetry between the engineers and everyone else. What is needed is an army of cultural translators who will fight our tendency to mentally outsource the issues to engineering elites. Maybe tech innovators such as Karp and Schmidt could use some of their vast wealth to fund this….(More)”.

How the Data Revolution Will Help the World Fight Climate Change


Article by Robert Muggah and Carlo Ratti: “…The rapidly increasing volume and variety of Big Data collected in cities—whose potential has barely been tapped—can help solve the pressing need for actionable insight. For one, it can be used to track the climate crisis as it happens. Collected in real-time and in high resolution, data can serve as an interface between aspirational goals and daily implementation. Take the case of mobility, a key contributor to carbon, nitrogen, and particulate emissions. A wealth of data from fixed sensors, outdoor video footage, navigation devices, and mobile phones could be processed in real time to classify all modes of city transportation. This can be used to generate granular knowledge of which vehicles—from gas-guzzling SUVs to electric bikes—are contributing to traffic and emissions in a given hour, day, week, or month. This kind of just-in-time analytics can inform agile policy adjustments: Data showing too many miles driven by used diesel vehicles might indicate the need for more targeted car buyback programs while better data about bike use can bolster arguments for dedicated lanes and priority at stoplights.

Data-driven analytics are already improving energy use efficiency in buildings, where heating, cooling, and electricity use are among the chief culprits of greenhouse gas emissions. It is now possible to track spatial and temporal electricity consumption patterns inside commercial and residential properties with smart meters. City authorities can use them to monitor which buildings are using the most power and when. This kind of data can then be used to set incentives to reduce consumption and optimize energy distribution over a 24-hour period. Utilities can charge higher prices during peak usage hours that put the most carbon-intensive strain on the grid. Although peak pricing strategies have existed for decades, data abundance and advanced computing could now help utilities make use of their full potential. Likewise, thermal cameras in streets can identify buildings with energy leaks, especially during colder periods. Tenants can use this data to replace windows or add insulation, substantially reducing their utility bills while also contributing to local climate action.

The data revolution is being harnessed by some cities to hasten the energy transition. A good example of this is the Helsinki Hot Heart proposal that recently won a city-wide energy challenge (and which one of our firms—Carlo Ratti Associati—is involved in). Helsinki currently relies on a district heating system powered by coal power plants that are expected to be phased out by 2030. A key question is whether it is possible to power the city using intermittent renewable energy sources. The project proposes giant water basins, floating off the shore in the Baltic Sea, that act as insulated thermal batteries to accumulate heat during peak renewable production, releasing it through the district heating system. This is only possible through a fine-tuned collection of sensors, algorithms, and actuators. Relying on the flow of water and bytes, Helsinki Hot Hearth would offer a path to digital physical systems that could take cities like Helsinki to a sustainable, data-driven future….(More)”.

A Climate Equity Agenda Informed by Community Brilliance


Essay by Jalonne L. White-Newsome: “Even with decades of data, state-of-the-art tools and prediction technologies, and clear signals that the impacts of climate change pose a threat to public health, there is still a major disconnect that is allowing extreme weather events to disrupt the health and well-being of low-income communities and people of color across the United States. Centering the health and well-being of these communities within cross-sector partnerships between residents, scientists, government, industry, and philanthropy can drive climate adaptation and resilience…(More)”

How to Budget for Equity and Drive Lasting Change


Article by Andrew Kleine and Josh Inaba: “After George Floyd’s tragic death last year sparked calls to “defund the police,” government leaders across the country looked at all their operations under a new lens of equity. Most importantly, state and local leaders examined ways to invest in equitable services. While it is often said that government budgets are value statements, the past year has revealed that many budgets need to be revisited so that they better demonstrate the values of the people they serve.

To address misalignments between government spending and community values, leaders should focus on budgeting for equity, which has four fundamental facets: prioritizing equity, using data and evidence, budgeting for outcomes and engaging the community in new ways…

Data and evidence are important components of any efforts to address racial equity because they allow governments to pinpoint disparities, establish goals to remedy them and find solutions that work. This means that government leaders should be using data to evaluate not just “How well did we do it?” and “Is anyone better off?” but also consider the question “Is everyone better off?”

Asking “Is everyone better off”? is what led Boston officials to take a deep dive into its sidewalk repair data. Analysts found that because repairs were driven by 311 complaints instead of an objective assessment of need, the sidewalks in poorer, minority neighborhoods were in worse shape than those in wealthier parts of the city. Boston now uses a sidewalk condition index and other need-based factors to prioritize its sidewalk capital program.

Similarly, evidence can help governments address more long-standing inequities such as kindergarten readiness. In Maryland, for example, 60% of white students were ready for kindergarten in 2019 compared with 42% of Black students and 26% of Hispanic students, a readiness gap that has widened in recent years. Although Maryland has acted to expand early childhood education, the root cause of the disparity starts before childbirth, when the health and preparedness of mothers can make or break early childhood outcomes.

Evidence-based upstream interventions, such as Nurse-Family Partnership programs, help improve early childhood educational outcomes by supporting low-income, first-time mothers from pregnancy through the child’s second birthday. Initiatives like these can help to address long-standing inequities, and governments can use clearinghouses, such as Results for America’s Economic Mobility Catalog, to identify evidence-based strategies to address a wide variety of these equity-related gaps…(More)”.

Can data die?


Article by Jennifer Ding: “…To me, the crux of the Lenna story is how little power we have over our data and how it is used and abused. This threat seems disproportionately higher for women who are often overrepresented in internet content, but underrepresented in internet company leadership and decision making. Given this reality, engineering and product decisions will continue to consciously (and unconsciously) exclude our needs and concerns.

While social norms are changing towards non-consensual data collection and data exploitation, digital norms seem to be moving in the opposite direction. Advancements in machine learning algorithms and data storage capabilities are only making data misuse easier. Whether the outcome is revenge porn or targeted ads, surveillance or discriminatory AI, if we want a world where our data can retire when it’s outlived its time, or when it’s directly harming our lives, we must create the tools and policies that empower data subjects to have a say in what happens to their data… including allowing their data to die…(More)”

Giant, free index to world’s research papers released online


Holly Else at Nature: “In a project that could unlock the world’s research papers for easier computerized analysis, an American technologist has released online a gigantic index of the words and short phrases contained in more than 100 million journal articles — including many paywalled papers.

The catalogue, which was released on 7 October and is free to use, holds tables of more than 355 billion words and sentence fragments listed next to the articles in which they appear. It is an effort to help scientists use software to glean insights from published work even if they have no legal access to the underlying papers, says its creator, Carl Malamud. He released the files under the auspices of Public Resource, a non-profit corporation in Sebastopol, California, that he founded.

Malamud says that because his index doesn’t contain the full text of articles, but only sentence snippets up to five words long, releasing it does not breach publishers’ copyright restrictions on the reuse of paywalled articles. However, one legal expert says that publishers might question the legality of how Malamud created the index in the first place.

Some researchers who have had early access to the index say it’s a major development in helping them to search the literature with software — a procedure known as text mining. Gitanjali Yadav, a computational biologist at the University of Cambridge, UK, who studies volatile organic compounds emitted by plants, says she aims to comb through Malamud’s index to produce analyses of the plant chemicals described in the world’s research papers. “There is no way for me — or anyone else — to experimentally analyse or measure the chemical fingerprint of each and every plant species on Earth. Much of the information we seek already exists, in published literature,” she says. But researchers are restricted by lack of access to many papers, Yadav adds….(More)”.

Can digital technologies improve health?


The Lancet: “If you have followed the news on digital technology and health in recent months, you will have read of a blockbuster fraud trial centred on a dubious blood-testing device, a controversial partnership between a telehealth company and a data analytics company, a social media company promising action to curb the spread of vaccine misinformation, and another addressing its role in the deteriorating mental health of young women. For proponents and critics alike, these stories encapsulate the health impact of many digital technologies, and the uncertain and often unsubstantiated position of digital technologies for health. The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world, brings together diverse, independent experts to ask if this narrative can still be turned around? Can digital technologies deliver health benefits for all?

Digital technologies could improve health in many ways. For example, electronic health records can support clinical trials and provide large-scale observational data. These approaches have underpinned several high-profile research findings during the COVID-19 pandemic. Sequencing and genomics have been used to understand SARS-CoV-2 transmission and evolution. There is vast promise in digital technology, but the Commission argues that, overall, digital transformations will not deliver health benefits for all without fundamental and revolutionary realignment.

Globally, digital transformations are well underway and have had both direct and indirect health consequences. Direct effects can occur through, for example, the promotion of health information or propagating misinformation. Indirect ones can happen via effects on other determinants of health, including social, economic, commercial, and environmental factors, such as influencing people’s exposure to marketing or political messaging. Children and adolescents growing up in this digital world experience the extremes of digital access. Young people who spend large parts of their lives online may be protected or vulnerable to online harm. But many individuals remain digitally excluded, affecting their access to education and health information. Digital access, and the quality of that access, must be recognised as a key determinant of health. The Commission calls for connectivity to be recognised as a public good and human right.

Describing the accumulation of data and power by dominant actors, many of which are commercial, the Commissioners criticise business models based on the extraction of personal data, and those that benefit from the viral spread of misinformation. To redirect digital technologies to advance universal health coverage, the Commission invokes the guiding principles of democracy, equity, solidarity, inclusion, and human rights. Governments must protect individuals from emerging threats to their health, including bias, discrimination, and online harm to children. The Commission also calls for accountability and transparency in digital transformations, and for the governance of misinformation in health care—basic principles, but ones that have been overridden in a quest for freedom of expression and by the fear that innovation could be sidelined. Public participation and codesign of digital technologies, particularly including young people and those from affected communities, are fundamental.

The Commission also advocates for data solidarity, a radical new approach to health data in which both personal and collective interests and responsibilities are balanced. Rather than data being regarded as something to be owned or hoarded, it emphasises the social and relational nature of health data. Countries should develop data trusts that unlock potential health benefits in public data, while also safeguarding it.

Digital transformations cannot be reversed. But they must be rethought and changed. At its heart, this Commission is both an exposition of the health harms of digital technologies as they function now, and an optimistic vision of the potential alternatives. Calling for investigation and expansion of digital health technologies is not misplaced techno-optimism, but a serious opportunity to drive much needed change. Without new approaches, the world will not achieve the 2030 Sustainable Development Goals.

However, no amount of technical innovation or research will bring equitable health benefits from digital technologies without a fundamental redistribution of power and agency, achievable only through appropriate governance. There is a desperate need to reclaim digital technologies for the good of societies. Our future health depends on it….(More)”.

A real-time revolution will up-end the practice of macroeconomics


The Economist: “The pandemic has hastened a shift towards novel data and fast analysis…Does anyone really understand what is going on in the world economy? The pandemic has made plenty of observers look clueless. Few predicted $80 oil, let alone fleets of container ships waiting outside Californian and Chinese ports. As covid-19 let rip in 2020, forecasters overestimated how high unemployment would be by the end of the year. Today prices are rising faster than expected and nobody is sure if inflation and wages will spiral upward. For all their equations and theories, economists are often fumbling in the dark, with too little information to pick the policies that would maximise jobs and growth.

Yet, as we report this week, the age of bewilderment is starting to give way to greater enlightenment. The world is on the brink of a real-time revolution in economics, as the quality and timeliness of information are transformed. Big firms from Amazon to Netflix already use instant data to monitor grocery deliveries and how many people are glued to “Squid Game”. The pandemic has led governments and central banks to experiment, from monitoring restaurant bookings to tracking card payments. The results are still rudimentary, but as digital devices, sensors and fast payments become ubiquitous, the ability to observe the economy accurately and speedily will improve. That holds open the promise of better public-sector decision-making—as well as the temptation for governments to meddle…(More)”.