What Should Happen to Our Data When We Die?


Adrienne Matei at the New York Times: “The new Anthony Bourdain documentary, “Roadrunner,” is one of many projects dedicated to the larger-than-life chef, writer and television personality. But the film has drawn outsize attention, in part because of its subtle reliance on artificial intelligence technology.

Using several hours of Mr. Bourdain’s voice recordings, a software company created 45 seconds of new audio for the documentary. The A.I. voice sounds just like Mr. Bourdain speaking from the great beyond; at one point in the movie, it reads an email he sent before his death by suicide in 2018.

“If you watch the film, other than that line you mentioned, you probably don’t know what the other lines are that were spoken by the A.I., and you’re not going to know,” Morgan Neville, the director, said in an interview with The New Yorker. “We can have a documentary-ethics panel about it later.”

The time for that panel may be now. The dead are being digitally resurrected with growing frequency: as 2-D projections, 3-D holograms, C.G.I. renderings and A.I. chat bots….(More)”.

The One-Earth Balance Sheet


Essay by Andrew Sheng: “Modern science arose by breaking down complex problems into their parts. As Alvin Toffler, an American writer and futurist, wrote in his 1984 foreword to the chemist Ilya Prigogine’s classic book “Order out of Chaos”: “One of the most highly developed skills in contemporary Western civilization is dissection: the split-up of problems into their smallest possible components. We are good at it. So good, we often forget to put the pieces back together again.”

Specialization produces efficiency in production and output. But one unfortunate result is that silos produce a partial perspective from specialist knowledge; very few take a system-wide view on how the parts are related to the whole. When the parts do not fit or work together, the system may break down. As behavioral economist Daniel Kahnemann put it: “We can be blind to the obvious, and we are also blind to our blindness.”

Silos make group collective action more difficult; nation-states, tribes, communities and groups have different ways of knowing and different repositories of knowledge. A new collective mental map is needed, one that moves away from classical Newtonian science, with its linear and mechanical worldview, toward a systems-view of life. The ecologists Fritjof Capra and Pier Luigi Luisi argue that “the major problems of our time — energy, the environment, climate change, food security, financial security — cannot be understood in isolation. They are systemic problems, which means that they are all interconnected and interdependent.”

“Siloed thinking created many of our problems with inequality, injustice and planetary damage.”

A complex, non-linear, systemic view of life sees the whole as a constant interaction between the small and the large: diverse parts that are cooperating and competing at the same time. This organic view of life coincides with the ancient perspective found in numerous cultures — including Chinese, Indian, native Australian and Amerindian — that man and nature are one.

In short, modern Western science has begun to return to the pre-Enlightenment worldview that saw man, God and Earth in somewhat mystic entanglement. The late Chinese scientist Qian Xuesen argued the world was made up of “open giant complex systems” operating within larger open giant complex systems. Human beings themselves are open giant complex systems — every brain has billions of neurons connected to each other through trillions of pathways — continually exchanging and processing information with other humans and the environment. Life is much more complex, dynamic and uncertain than we once assumed.

To describe this dynamic, complex and uncertain systemic whole, we need to evolve trans-disciplinary thinking that integrates the natural, social, biological sciences and arts by transcending disciplinary boundaries. Qian concluded that the only way to describe such systemic complexity and uncertainty is to integrate quantitative with qualitative narratives, exactly what the Nobel Laureate Robert Shiller advocates for in “Narrative Economics.”…(More)”.

The miracle of the commons


Chapter by Michelle Nijhuis: “In December 1968, the ecologist and biologist Garrett Hardin had an essay published in the journal Science called ‘The Tragedy of the Commons’. His proposition was simple and unsparing: humans, when left to their own devices, compete with one another for resources until the resources run out. ‘Ruin is the destination toward which all men rush, each pursuing his own best interest,’ he wrote. ‘Freedom in a commons brings ruin to all.’ Hardin’s argument made intuitive sense, and provided a temptingly simple explanation for catastrophes of all kinds – traffic jams, dirty public toilets, species extinction. His essay, widely read and accepted, would become one of the most-cited scientific papers of all time.

Even before Hardin’s ‘The Tragedy of the Commons’ was published, however, the young political scientist Elinor Ostrom had proven him wrong. While Hardin speculated that the tragedy of the commons could be avoided only through total privatisation or total government control, Ostrom had witnessed groundwater users near her native Los Angeles hammer out a system for sharing their coveted resource. Over the next several decades, as a professor at Indiana University Bloomington, she studied collaborative management systems developed by cattle herders in Switzerland, forest dwellers in Japan, and irrigators in the Philippines. These communities had found ways of both preserving a shared resource – pasture, trees, water – and providing their members with a living. Some had been deftly avoiding the tragedy of the commons for centuries; Ostrom was simply one of the first scientists to pay close attention to their traditions, and analyse how and why they worked.

The features of successful systems, Ostrom and her colleagues found, include clear boundaries (the ‘community’ doing the managing must be well-defined); reliable monitoring of the shared resource; a reasonable balance of costs and benefits for participants; a predictable process for the fast and fair resolution of conflicts; an escalating series of punishments for cheaters; and good relationships between the community and other layers of authority, from household heads to international institutions….(More)”.

Inclusive SDG Data Partnerships


Learning report” by Partners for Review (P4R/GIZ), the Danish Institute for Human Rights (DIHR), and the International Civil Society Centre: “It brought together National SDG Units, National Statistics Offices, National Human Rights Institutions and civil society organisations from across six countries. The initiative’s purpose is to advance data partnerships for the SDGs and to strengthen multi-actor data ecosystems at the national level. Goal is to meet the SDG data challenge by improving the use of alternative data sources, particularly data produced by civil society and human rights institutions, and complementary to official statistics….(More)”.

Democracy in a Pandemic: Participation in response to Covid


Open Access Book by Involve: “Covid-19 has highlighted limitations in our democratic politics – but also lessons for how to deepen our democracy and more effectively respond to future crises.

In the face of an emergency, the working assumption all too often is that only a centralised, top-down response is possible. This book exposes the weakness of this assumption, making the case for deeper participation and deliberation in times of crises. During the pandemic, mutual aid and self-help groups have realised unmet needs. And forward-thinking organisations have shown that listening to and working with diverse social groups leads to more inclusive outcomes.

Participation and deliberation are not just possible in an emergency. They are valuable, perhaps even indispensable. 

This book draws together a diverse range of voices of activists, practitioners, policy makers, researchers and writers. Together they make visible the critical role played by participation and deliberation during the pandemic and make the case for enhanced engagement during and beyond emergency contexts.

Another, more democratic world can be realised in the face of a crisis. The contributors to this book offer us meaningful insights into what this could look like….(More)”.

The Predictive Power of Patents


Paper by Sabrina Safrin: “This article explains that domestic patenting activity may foreshadow a country’s level of regulation of path-breaking technologies. The article considers whether different governments will act with a light or a heavy regulatory hand when encountering a new disruptive technology. The article hypothesizes that part of the answer to this important regulatory, economic, and geopolitical question may lie in an unexpected place: the world’s patent offices. Countries with early and significant patent activity in an emerging technology are more likely to view themselves as having a stake in the technology and therefore will be less inclined to subject the technology to extensive health, safety and environmental regulation that would constrain it. The article introduces the term “patent footprint” to describe a country’s degree of patenting activity in a new technology, and the article posits that a country’s patent footprint may provide an early clue to its willingness or reluctance to strenuously regulate the new technology. Even more so, lack of geographic diversity in patent footprints may help predict whether an emerging technology will face extensive international regulation. Patent footprints provide a useful tool to policymakers, businesses, investors, and NGOs considering the health, safety, and environmental regulation of a disruptive technology. The predictive power of patent footprints adds to the literature on the broader function of patents in society….(More)”.

The State of Global Emotions


Gallup: “Nobody was alone in feeling more sad, angry, worried or stressed last year. Gallup’s latest Negative Experience Index, which annually tracks these experiences worldwide in more than 100 countries and areas, shows that collectively, the world was feeling the worst it had in 15 years. The index score reached a new high of 32 in 2020.

Line graph. The Negative Experience Index, an annual composite index of stress, anger, worry, sadness and physical pain, continued to rise in 2020, hitting a new record of 32.

Gallup asked adults in 115 countries and areas if they had five specific negative experiences on the day preceding the survey. Four in 10 adults said they had experienced worry (40%) or stress (40%), and just under three in 10 had experienced physical pain (29%) during a lot of the previous day. About one in four or more experienced sadness (27%) or anger (24%).

Already at or near record highs in 2019, experiences of worry, stress, sadness and anger continued to gain steam and set new records in 2020. Worry and sadness each rose one percentage point, anger rose two, and stress rocketed up five. The percentage of adults worldwide who experienced pain was the only index item that declined — dropping two points after holding steady for several years at 31%.

But 2020 officially became the most stressful year in recent history. The five-point jump from 35% in 2019 to 40% in 2020 represents nearly 190 million more people globally who experienced stress during a lot of the previous day.

Line graph. Reported stress worldwide soared to a record 40% in 2020 amid the COVID-19 pandemic.

Worldwide, not everyone was feeling this stress to the same degree. Reported stress ranged from a high of 66% in Peru — which represents a new high for the country — to a low of 13% in Kyrgyzstan, where stress levels have historically been low and stayed low in 2020….(More)”

What Is Behavioral Data Science and How to Get into It?


Blogpost by Ganna Pogrebna: “Behavioral Data Science is a new, emerging, interdisciplinary field, which combines techniques from the behavioral sciences, such as psychology, economics, sociology, and business, with computational approaches from computer science, statistics, data-centric engineering, information systems research and mathematics, all in order to better model, understand and predict behavior.

Behavioral Data Science lies at the interface of all these disciplines (and a growing list of others) — all interested in combining deep knowledge about the questions underlying human, algorithmic, and systems behavior with increasing quantities of data. The kinds of questions this field engages are not only exciting and challenging, but also timely, such as:

Behavioral Data Science is capable of addressing all these issues (and many more) partly because of the availability of new data sources and partly due to the emergence of new (hybrid) models, which merge behavioral science and data science models. The main advantage of these models is that they expand machine learning techniques, operating, essentially, as black boxes, to fully tractable, and explainable upgrades. Specifically, while a deep learning model can generate accurate prediction of why people select one product or brand over the other, it will not tell you what exactly drives people’s preferences; whereas hybrid models, such as anthropomorphic learning, will be able to provide this insight….(More)”

Why People Are So Awful Online


Roxane Gay at the New York Times: “When I joined Twitter 14 years ago, I was living in Michigan’s Upper Peninsula, attending graduate school. I lived in a town of around 4,000 people, with few Black people or other people of color, not many queer people and not many writers. Online is where I found a community beyond my graduate school peers. I followed and met other emerging writers, many of whom remain my truest friends. I got to share opinions, join in on memes, celebrate people’s personal joys, process the news with others and partake in the collective effervescence of watching awards shows with thousands of strangers.

Something fundamental has changed since then. I don’t enjoy most social media anymore. I’ve felt this way for a while, but I’m loath to admit it.

Increasingly, I’ve felt that online engagement is fueled by the hopelessness many people feel when we consider the state of the world and the challenges we deal with in our day-to-day lives. Online spaces offer the hopeful fiction of a tangible cause and effect — an injustice answered by an immediate consequence. On Twitter, we can wield a small measure of power, avenge wrongs, punish villains, exalt the pure of heart….

Lately, I’ve been thinking that what drives so much of the anger and antagonism online is our helplessness offline. Online we want to be good, to do good, but despite these lofty moral aspirations, there is little generosity or patience, let alone human kindness. There is a desperate yearning for emotional safety. There is a desperate hope that if we all become perfect enough and demand the same perfection from others, there will be no more harm or suffering.

It is infuriating. It is also entirely understandable. Some days, as I am reading the news, I feel as if I am drowning. I think most of us do. At least online, we can use our voices and know they can be heard by someone.

It’s no wonder that we seek control and justice online. It’s no wonder that the tenor of online engagement has devolved so precipitously. It’s no wonder that some of us have grown weary of it….(More)”

COVID data is complex and changeable – expecting the public to heed it as restrictions ease is optimistic


Manuel León Urrutia at The Conversation: “I find it tempting to celebrate the public’s expanding access to data and familiarity with terms like “flattening the curve”. After all, a better informed society is a successful society, and the provision of data-driven information to the public seems to contribute to the notion that together we can beat COVID.

But increased data visibility shouldn’t necessarily be interpreted as increased data literacy. For example, at the start of the pandemic it was found that the portrayal of COVID deaths in logarithmic graphs confused the public. Logarithmic graphs control for data that’s growing exponentially by using a scale which increases by a factor of ten on the y, or vertical axis. This led some people to radically underestimate the dramatic rise in COVID cases.

Two graphs comparing linear with logorithmic curves
A logorithmic graph (on the right) flattens exponential curves, which can confuse the public. LSE

The vast amount of data we now have available doesn’t even guarantee consensus. In fact, instead of solving the problem, this data deluge can contribute to the polarisation of public discourseOne study recently found that COVID sceptics use orthodox data presentation techniques to spread their controversial views, revealing how more data doesn’t necessarily result in better understanding. Though data is supposed to be objective and empirical, it has assumed a political, subjective hue during the pandemic….

This is where educators come in. The pandemic has only strengthened the case presented by academics for data literacy to be included in the curriculum at all educational levels, including primary. This could help citizens navigate our data-driven world, protecting them from harmful misinformation and journalistic malpractice.

Data literacy does in fact already feature in many higher education roadmaps in the UK, though I’d argue it’s a skill the entire population should be equipped with from an early age. Misconceptions about vaccine efficacy and the severity of the coronavirus are often based on poorly presented, false or misinterpreted data. The “fake news” these misconceptions generate would spread less ferociously in a world of data literate citizens.

To tackle misinformation derived from the current data deluge, the European Commission has funded projects such as MediaFutures and YourDataStories….(More)”.