Tracking symptoms of respiratory diseases online can give a picture of community health

Curated on Posted on by Stefaan Verhulst

Article by Mvuyo Makhasi, Cheryl Cohen and Sibongile Walaza: “Participatory surveillance has not yet been implemented in African countries. There has only ever been one pilot study, in Tanzania. In 2016, a pilot study of a mobile app called AfyaData was implemented for participatory surveillance in Tanzania. The aim was to establish a platform where members of the community could report any symptoms they encountered. Based on the clinical data provided these would be grouped into categories of diseases. In the pilot study most of the reported cases were related to the digestive system. The second most frequently reported cases were related to the respiratory system. This demonstrated the potential of obtaining close to real-time data on diseases directly from the community….

Participatory surveillance is in place in 11 European countries that form part of the InfluenzaNet network. Here it’s been shown to address some of the limitations of traditional facility-based systems. For example, it can detect the start of the flu season up to two weeks earlier than traditional facility-based surveillance. This allows public health officials to plan and respond earlier to seasonal outbreaks.

Self-reporting systems provide similar and complementary data to facility-based surveillance. They show:

  • variations over time in cases of acute respiratory tract infection
  • time to peak of incidence of acute cases
  • the peak intensity of acute cases
  • a comparison between participatory and facility-based surveillance trends.

The same analysis can now be done for COVID-19 cases, which were previously not included in participatory surveillance platforms.

The systems enable analysis of health-seeking behaviour in people who don’t see a doctor or nurse. For example, people may use home-based remedies, search for guidelines on the internet or consult traditional healers. Health-seeking surveys are often conducted in research studies for a defined period of time, but data is not routinely collected. Participatory surveillance is a longitudinal and systematic way of collecting information about health-seeking behaviour related to respiratory diseases.

Vaccine effectiveness estimates can also be determined through participatory surveillance data. This includes vaccine coverage for seasonal influenza and COVID-19 and information on how these vaccines perform in preventing illness. These data can be compared with vaccine effectiveness estimates from facility-based surveillance…(More)”.

Amateur open-source researchers went viral unpacking the war in Ukraine

Curated on Posted on by Stefaan Verhulst

Article by Meaghan Tobin: “Under the pseudonym Intel Crab, University of Alabama sophomore Justin Peden has become an unlikely source of information about the unfolding Ukraine-Russia war. From his dorm room, the 20-year-old sifts through satellite images, TikTok videos, and security feeds, sharing findings like troop movements and aircraft models with more than 220,000 followers on Twitter. Peden said that his posts have reached 20 million people and his follower count has increased by over 50,000 people over the past month, according to his Twitter analytics.

Today, Peden is one of the most prominent open-source intelligence (OSINT) figures on Twitter. 

According to analysts, OSINT researchers have existed on the fringes of conflicts since at least 2014, working collaboratively across the world to comb through freely available resources like Google Maps and the satellite imagery service Maxar Technologies. They publicly conduct the type of work that intelligence agencies do behind closed doors. 

As Russia continues its invasion of Ukraine, amateur OSINT researchers have gained a particular mainstream traction. Specialized social media accounts on Twitter, like Intel Crab, Calibre Obscura, and Aurora Intel, have transfixed an information-hungry public with an analysis of key movements in Russia’s invasion, using newly available technologies to provide real-time analysis of key activities, like the supposed withdrawal of Russian troops along the Ukrainian border or the 40-mile Russian convoy outside of Ukraine’s capital, Kyiv….(More)”.

Cultural-Historical Perspectives on Collective Intelligence

Curated on Posted on by Stefaan Verhulst

Book by Rolf K. Baltzersen: “In the era of digital communication, collective problem solving is increasingly important. Large groups can now resolve issues together in completely different ways, which has transformed the arts, sciences, business, education, technology, and medicine. Collective intelligence is something we share with animals and is different from machine learning and artificial intelligence. To design and utilize human collective intelligence, we must understand how its problem-solving mechanisms work. From democracy in ancient Athens, through the invention of the printing press, to COVID-19, this book analyzes how humans developed the ability to find solutions together. This wide-ranging, thought-provoking book is a game-changer for those working strategically with collective problem solving within organizations and using a variety of innovative methods. It sheds light on how humans work effectively alongside machines to confront challenges that are more urgent than what humanity has faced before…(More)”.

Articulating the Role of Artificial Intelligence in Collective Intelligence: A Transactive Systems Framework

Curated on Posted on by Stefaan Verhulst

Paper by Pranav Gupta and Anita Williams Woolley: “Human society faces increasingly complex problems that require coordinated collective action. Artificial intelligence (AI) holds the potential to bring together the knowledge and associated action needed to find solutions at scale. In order to unleash the potential of human and AI systems, we need to understand the core functions of collective intelligence. To this end, we describe a socio-cognitive architecture that conceptualizes how boundedly rational individuals coordinate their cognitive resources and diverse goals to accomplish joint action. Our transactive systems framework articulates the inter-member processes underlying the emergence of collective memory, attention, and reasoning, which are fundamental to intelligence in any system. Much like the cognitive architectures that have guided the development of artificial intelligence, our transactive systems framework holds the potential to be formalized in computational terms to deepen our understanding of collective intelligence and pinpoint roles that AI can play in enhancing it….(More)”

Building Global Societies on Collective Intelligence: Challenges and Opportunities

Curated on Posted on by Stefaan Verhulst

Article by Shweta Suran et al: “Digital disruptions caused by use of technologies like social media arguably present a formidable challenge to democratic values and in-turn to Collective Intelligence (CI or “wisdom-of-crowd”), which the former is an emblem of. These challenges such as misinformation, partisan bias, polarization, and rising mistrust in institutions (incl. mainstream media), present a new threat to collectives both online and offline—amplifying the risk of turning “wise” crowds “mad”, and rendering their actions counterproductive. Considering the increasingly important role crowds play in solving today’s socio-political, technological, and economical issues, and in shaping our future, we identify time-critical challenges and potential solutions that require urgent attention if future CI systems are to sustain their indispensable role as global deliberation instruments….(More)”.

Open Science: the Very Idea

Curated on Posted on by Stefaan Verhulst

Book by Frank Miedema: “This open access book provides a broad context for the understanding of current problems of science and of the different movements aiming to improve the societal impact of science and research. 

The author offers insights with regard to ideas, old and new, about science, and their historical origins in philosophy and sociology of science, which is of interest to a broad readership. The book shows that scientifically grounded knowledge is required and helpful in understanding intellectual and political positions in various discussions on the grand challenges of our time and how science makes impact on society. The book reveals why interventions that look good or even obvious, are often met with resistance and are hard to realize in practice. 

Based on a thorough analysis, as well as personal experiences in aids research, university administration and as a science observer, the author provides – while being totally open regarding science’s limitations- a realistic narrative about how research is conducted, and how reliable ‘objective’ knowledge is produced. His idea of science, which draws heavily on American pragmatism, fits in with the global Open Science movement. It is argued that Open Science is a truly and historically unique movement in that it translates the analysis of the problems of science into major institutional actions of system change in order to improve academic culture and the impact of science, engaging all actors in the field of science and academia…(More)”.

Quantifying collective intelligence in human groups

Curated on Posted on by Stefaan Verhulst

Paper by Christoph Riedl et al: “Collective intelligence (CI) is critical to solving many scientific, business, and other problems, but groups often fail to achieve it. Here, we analyze data on group performance from 22 studies, including 5,279 individuals in 1,356 groups. Our results support the conclusion that a robust CI factor characterizes a group’s ability to work together across a diverse set of tasks. We further show that CI is predicted by the proportion of women in the group, mediated by average social perceptiveness of group members, and that it predicts performance on various out-of-sample criterion tasks. We also find that, overall, group collaboration process is more important in predicting CI than the skill of individual members….(More)”.

Slowed canonical progress in large fields of science

Curated on Posted on by Stefaan Verhulst

Paper by Johan S. G. Chu and James A. Evans: “The size of scientific fields may impede the rise of new ideas. Examining 1.8 billion citations among 90 million papers across 241 subjects, we find a deluge of papers does not lead to turnover of central ideas in a field, but rather to ossification of canon. Scholars in fields where many papers are published annually face difficulty getting published, read, and cited unless their work references already widely cited articles. New papers containing potentially important contributions cannot garner field-wide attention through gradual processes of diffusion. These findings suggest fundamental progress may be stymied if quantitative growth of scientific endeavors—in number of scientists, institutes, and papers—is not balanced by structures fostering disruptive scholarship and focusing attention on novel ideas…(More)”.

Empowering Local Communities Using Artificial Intelligence

Curated on Posted on by Stefaan Verhulst

Paper by Yen-Chia Hsu et al: “Many powerful Artificial Intelligence (AI) techniques have been engineered with the goals of high performance and accuracy. Recently, AI algorithms have been integrated into diverse and real-world applications. It has become an important topic to explore the impact of AI on society from a people-centered perspective. Previous works in citizen science have identified methods of using AI to engage the public in research, such as sustaining participation, verifying data quality, classifying and labeling objects, predicting user interests, and explaining data patterns. These works investigated the challenges regarding how scientists design AI systems for citizens to participate in research projects at a large geographic scale in a generalizable way, such as building applications for citizens globally to participate in completing tasks. In contrast, we are interested in another area that receives significantly less attention: how scientists co-design AI systems “with” local communities to influence a particular geographical region, such as community-based participatory projects. Specifically, this article discusses the challenges of applying AI in Community Citizen Science, a framework to create social impact through community empowerment at an intensely place-based local scale. We provide insights in this under-explored area of focus to connect scientific research closely to social issues and citizen needs…(More)”.

Wiki (POCC) Authorship: The Case for An Inclusive Copyright

Curated on Posted on by Stefaan Verhulst

Paper by Sunimal Mendis: “Public open collaborative creation (POCC) constitutes an innovative form of collaborative authorship that is emerging within the digital humanities. At present, the use of the POCC (Wiki) model can be observed in many online creation projects the best known examples being Wikipedia and free-open source software (FOSS). This paper presents the POCC model as a new archetype of authorship that is founded on a creation ideology that is collective and inclusive. It posits that the POCC authorship model challenges the existing individualistic conception of authorship in exclusivity-based copyright law. Based on a comparative survey of the copyright law frameworks on collaborative authorship in France, the UK and the US, the paper demonstrates the inability of the existing framework of exclusivity-based copyright law (including copyleft licenses which are based on exclusive copyright) to give adequate legal expression to the relationships between co-authors engaged in collaborative creation within the POCC model. It proposes the introduction of an ‘inclusive’ copyright to the copyright law toolbox which would be more suited for giving legal expression to the qualities of inclusivity and dynamism that are inherent in these relationships. The paper presents an outline of the salient features of the proposed inclusive copyright, its application and effects. It concludes by outlining the potential of the ‘inclusive’ copyright to extend to other fields of application such as traditional cultural expression (TCE)….(More)”