How AI can help us harness our ‘collective intelligence’


Edd Gent at the BBC: “…There are already promising examples of how AI can help us better pool our unique capabilities. San Francisco start-up Unanimous AI has built an online platform that helps guide group decisions. They’ve looked to an unlikely place to guide their AI: the way honeybees make collective decisions.

“We went back to basics and said, ‘How does nature amplify the intelligence of groups?’,” says CEO Louis Rosenberg. “What nature does is form real-time systems, where the groups are interacting all at once together with feedback loops. So, they’re pushing and pulling on each other as a system, and converging on the best possible combination of their knowledge, wisdom, insight and intuition.”

Their Swarm AI platform presents groups with a question and places potential answers in different corners of their screen. Users control a virtual magnet with their mouse and engage in a tug of war to drag an ice hockey puck to the answer they think is correct. The system’s algorithm analyses how each user interacts with the puck – for instance, how much conviction they drag it with or how quickly they waver when they’re in the minority – and  uses this information to determine where the puck moves. That creates feedback loops in which each user is influenced by the choice and conviction of the others allowing the puck to end up at the answer best reflecting the collective wisdom of the group.

Several academic papers and high-profile clients who use the product back up the effectiveness of the Swarm AI platform. In one recent study, a group of traders were asked to forecast the weekly movement of several key stock market indices by trying to drag the puck to one of four answers — up or down by more than 4%, or up and down by less than 4%. With the tool, they boosted their accuracy by 36%.

Credit Suisse has used the platform to help investors forecast the performance of Asian markets; Disney has used it to predict the success of TV shows; and Unanimous has even partnered with Stanford Medical School to boost doctors’ ability to diagnose pneumonia from chest X-rays by 33%….(More)”

See also: Where and when AI and CI meet: exploring the intersection of artificial and collective intelligence towards the goal of innovating how we govern and Identifying Citizens’ Needs by Combining Artificial Intelligence (AI) and Collective Intelligence (CI).

Citizen participation in food systems policy making: A case study of a citizens’ assembly


Paper by Bob Doherty et al: “In this article, we offer a contribution to the emerging debate on the role of citizen participation in food system policy making. A key driver is a recognition that solutions to complex challenges in the food system need the active participation of citizens to drive positive change. To achieve this, it is crucial to give citizens the agency in processes of designing policy interventions. This requires authentic and reflective engagement with citizens who are affected by collective decisions. One such participatory approach is citizen assemblies, which have been used to deliberate a number of key issues, including climate change by the UK Parliament’s House of Commons (House of Commons., 2019). Here, we have undertaken analysis of a citizen food assembly organized in the City of York (United Kingdom). This assembly was a way of hearing about a range of local food initiatives in Yorkshire, whose aim is to both relocalise food supply and production, and tackle food waste.

These innovative community-based business models, known as ‘food hubs’, are increasing the diversity of food supply, particularly in disadvantaged communities. Among other things, the assembly found that the process of design and sortation of the assembly is aided by the involvement of local stakeholders in the planning of the assembly. It also identified the potential for public procurement at the city level, to drive a more sustainable sourcing of food provision in the region. Furthermore, this citizen assembly has resulted in a galvanizing of individual agency with participants proactively seeking opportunities to create prosocial and environmental change in the food system….(More)”.

National Academies, National Science Foundation Create Network to Connect Decision-Makers with Social Scientists on Pressing COVID-19 Questions


Press Release: “The National Academies of Sciences, Engineering, and Medicine and the National Science Foundation announced today the formation of a Societal Experts Action Network (SEAN) to connect social and behavioral science researchers with decision-makers who are leading the response to COVID-19. SEAN will respond to the most pressing social, behavioral, and economic questions that are being asked by federal, state, and local officials by working with appropriate experts to quickly provide actionable answers.

The new network’s activities will be overseen by an executive committee in coordination with the National Academies’ Standing Committee on Emerging Infectious Diseases and 21st Century Health Threats, established earlier this year to provide rapid expert input on urgent questions facing the federal government on the COVID-19 pandemic. Standing committee members Robert Groves, executive vice president and provost at Georgetown University, and Mary T. Bassett, director of the François-Xavier Bagnoud Center for Health and Human Rights at Harvard University, will co-chair the executive committee to manage SEAN’s solicitation of questions and expert responses, anticipate leaders’ research needs, and guide the dissemination of network findings.

SEAN will include individual researchers from a broad range of disciplines as well as leading national social and behavioral science institutions. Responses to decision-maker requests may range from individual phone calls and presentations to written committee documents such as Rapid Expert Consultations.

“This pandemic has broadly impacted all aspects of life — not just our health, but our work, families, education, supply chains, and even the global environment,” said Marcia McNutt, president of the National Academy of Sciences. “Therefore, to address the myriad questions that are being raised by mayors, governors, local representatives, and other leaders, we must recruit the full range of scientific expertise from across the social, natural, and biomedical sciences.”   

“Our communities and our society at large are facing a range of complex issues on multiple fronts due to COVID-19,” said Arthur Lupia, head of the Directorate for Social, Behavioral, and Economic Sciences at the National Science Foundation. “These are human-centered issues affecting our daily lives — the education and well-being of our children, the strength of our economy, the health of our loved ones, neighbors, and so many more. Through SEAN, social and behavioral scientists will provide actionable, evidence-driven guidance to our leaders across the U.S. who are working to support our communities and speed their recovery.”…(More)”.

Distantiated Communities: A Social History of Social Distancing


Article by Lily Scherlis: “The term “social distancing” trickled into the US news at the end of January, and by mid-March had become the governing creed of interpersonal relations for the time being. It surfaced in the midst of early doubts about the efficacy and ethics of the quarantine in China. The media began to recite it, wrapping it in scare quotes. The omnipresent quotation marks created the impression that reporters were holding the term at bay and contemplating it. By mid-March—after the flood of guidelines from the Center for Disease Control (CDC) and subsequent executive orders—social distancing had become sufficiently imperative for the term to be folded directly into sentences, shedding its quotation marks once and for all. But the initial presence of the quotes reflects the early mass fascination with the unfamiliar term. It materialized as if from nowhere: a scientific coinage, a spontaneous naming of a systematized set of behaviors miraculously devised by presumed experts.

“Social distancing” has actually lived several lives. It and its precursor, “social distance,” had long been used in a variety of colloquial and academic contexts, both as prescriptions and descriptions, before being taken up by epidemiologists in this century. In the nineteenth century, “social distance” was a polite euphemism used by the British to talk about class and by Americans to talk about race. It was then formally adopted in the 1920s by sociologists as a term to facilitate the quantitative codification that was then being introduced into the nascent study of race relations. In the second half of the twentieth century, psychiatry, anthropology, and zoology all adapted it for various purposes. And it was used in the 1990s in the United States to analyze what happened to the gay community when faced with straight fears of contagion. It was only in 2004 in a CDC publication on controlling the recent SARS outbreak that the term “social distance” was finally deployed for the first time by the medical community.

The history I trace here doesn’t presume that the doctors who appropriated it to control disease knew about its legacy, or that these links are relationships of causation. But there was something in the air in 2004 that encouraged the practices we now know as social distancing to be christened in this way—as if its past meanings had coalesced into a semantic atmosphere ripe for the emergence of this new use. Which is why if you think the term is weird, you’re right….(More)”.

Collaborative Society


Book by Dariusz Jemielniak and Aleksandra Przegalinska: “Humans are hard-wired for collaboration, and new technologies of communication act as a super-amplifier of our natural collaborative mindset. This volume in the MIT Press Essential Knowledge series examines the emergence of a new kind of social collaboration enabled by networked technologies. This new collaborative society might be characterized as a series of services and startups that enable peer-to-peer exchanges and interactions though technology. Some believe that the economic aspects of the new collaboration have the potential to make society more equitable; others see collaborative communities based on sharing as a cover for social injustice and user exploitation.

The book covers the “sharing economy,” and the hijacking of the term by corporations; different models of peer production, and motivations to participate; collaborative media production and consumption, the definitions of “amateur” and “professional,” and the power of memes; hactivism and social movements, including Anonymous and anti-ACTA protest; collaborative knowledge creation, including citizen science; collaborative self-tracking; and internet-mediated social relations, as seen in the use of Instagram, Snapchat, and Tinder. Finally, the book considers the future of these collaborative tendencies and the disruptions caused by fake news, bots, and other challenges….(More)”.

Using crowdsourcing for a safer society: When the crowd rules


Paper by Enrique Estellés-Arolas: “Neighbours sharing information about robberies in their district through social networking platforms, citizens and volunteers posting about the irregularities of political elections on the Internet, and internauts trying to identify a suspect of a crime: in all these situations, people who share different degrees of relationship collaborate through the Internet and other technologies to try to help with or solve an offence. T

he crowd, which is sometimes seen as a threat, in these cases becomes an invaluable resource that can complement law enforcement through collective intelligence. Owing to the increasing growth of such initiatives, this article conducts a systematic review of the literature to identify the elements that characterize them and to find the conditions that make them work successfully….(More)”.

Data Sharing in the Context of Health-Related Citizen Science


Paper by Mary A. Majumder and Amy L. McGuire: “As citizen science expands, questions arise regarding the applicability of norms and policies created in the context of conventional science. This article focuses on data sharing in the conduct of health-related citizen science, asking whether citizen scientists have obligations to share data and publish findings on par with the obligations of professional scientists. We conclude that there are good reasons for supporting citizen scientists in sharing data and publishing findings, and we applaud recent efforts to facilitate data sharing. At the same time, we believe it is problematic to treat data sharing and publication as ethical requirements for citizen scientists, especially where there is the potential for burden and harm without compensating benefit…(More)”.

Reweaving the social fabric after the crisis


Andy Haldane at the Financial Times: “Yet one source of capital, as in past pandemics, is bucking these trends: social capital. This typically refers to the network of relationships across communities that support and strengthen societies. From surveys, we know that people greatly value these networks, even though social capital itself is rarely assigned a monetary value.

The social distancing policies enacted across the world to curb the spread of Covid-19 might have been expected to weaken social networks and damage social capital. In fact, the opposite has happened. People have maintained physical distance while pursuing social togetherness. Existing networks have been strengthened and new ones ­created, often digitally. Even as other capital has crumbled, the stock of social capital has risen, acting as a counter­cyclical stabiliser across communities. We see this daily on our doorsteps through small acts of neighbourly kindness.

We see it in the activities of community groups, charities and philanthropic movements, whose work has risen in importance and prominence. And we see it too in the vastly increased numbers of people volunteering to help. Before the crisis struck, the global volunteer corps numbered a staggering 1bn people. Since then, more people than ever have signed up for civic service, including 750,000 volunteers who are supporting the UK National Health Service. They are the often-invisible army helping fight this invisible enemy.

This same pattern appeared during past periods of societal stress, from pandemics to wars. Then, as now, faith and community groups provided the glue bonding societies together. During the 19th century, the societal stresses arising from the Industrial Revolution — homelessness, family separation, loneliness — were the catalyst for the emergence of the charitable sector.

The economic and social progress that followed the Industrial Revolution came courtesy of a three-way partnership among the private, public and social sectors. The private sector provided the innovative spark; the state provided insurance to the incomes, jobs and health of citizens; and the social sector provided the support network to cope with disruption to lives and livelihoods. Back then, social capital (every bit as much as human, financial and physical capital) provided the foundations on which capitalism was built….(More)”.

Covid-19: the rise of a global collective intelligence?


Marc Santolini at the Conversation: “All around the world, scientists and practitioners are relentlessly harnessing data on the pandemic to model its progression, predict the impact of possible interventions and develop solutions to medical equipment shortages, generating open-source data and codes to be reused by others.

Research and innovation is now in a collaborative frenzy just as contagious as the coronavirus. Is this the rise of the famous “collective intelligence” supposed to solve our major global problems?

The rise of a global collective intelligence

The beginning of the epidemic saw “traditional” research considerably accelerate and open its means of production, with journals such as ScienceNature and The Lancet immediately granting public access to publications on the coronavirus and Covid-19.

The academic world is in ebullition. Every day, John Hopkins University updates an open and collaborative stream of data on the epidemic, which have already been reused more than 11,000 times. Research results are published immediately on pre-print servers or laboratory websites. Algorithms and interactive visualizations are flourishing on GitHub; outreach videos on YouTube. The figures are staggering, with nearly 9,000 academic articles published on the subject to date.

More recently, popular initiatives bringing together a variety of actors have emerged outside institutional frameworks, using online platforms. For example, a community of biologists, engineers and developers has emerged on the Just One Giant Lab (JOGL) collaborative platform to develop low-cost, open-source solutions against the virus. This platform, which we developed with Leo Blondel (Harvard University) and Thomas Landrain (La PaillassePILI) over the past three years, is designed as a virtual, open and distributed research institute aimed at developing solutions to the Sustainable Development Goals (SDGs) defined by the United Nations. Communities use it to self-organize and provide innovative solutions to urgent problems requiring fundamentally interdisciplinary skills and knowledge. The platform facilitates coordination by linking needs and resources within the community, animating research programs, and organising challenges….(More)”.

Crowdsourcing a crisis response for COVID-19 in oncology


Aakash Desai et al in Nature Medicine: “Crowdsourcing efforts are currently underway to collect and analyze data from patients with cancer who are affected by the COVID-19 pandemic. These community-led initiatives will fill key knowledge gaps to tackle crucial clinical questions on the complexities of infection with the causative coronavirus SARS-Cov-2 in the large, heterogeneous group of vulnerable patients with cancer…(More)”