Paper by Fanny E. Berigüete, Inma Rodriguez Cantalapiedra, Mariana Palumbo and Torsten Masseck: “Citizen initiatives (CIs), through their activities, have become a mechanism to promote empowerment, social inclusion, change of habits, and the transformation of neighbourhoods, influencing their sustainability, but how can this impact be measured? Currently, there are no tools that directly assess this impact, so our research seeks to describe and evaluate the contributions of CIs in a holistic and comprehensive way, respecting the versatility of their activities. This research proposes an evaluation system of 33 indicators distributed in 3 blocks: social cohesion, urban metabolism, and transformation potential, which can be applied through a questionnaire. This research applied different methods such as desk study, literature review, and case study analysis. The evaluation of case studies showed that the developed evaluation system well reflects the individual contribution of CIs to sensitive and important aspects of neighbourhoods, with a lesser or greater impact according to the activities they carry out and the holistic conception they have of sustainability. Further implementation and validation of the system in different contexts is needed, but it is a novel and interesting proposal that will favour decision making for the promotion of one or another type of initiative according to its benefits and the reality and needs of the neighbourhood…(More)”.
The Generic Collective Intelligence Framework: A Qualitative View
Paper by Shweta Suray, Vishwajeet Pattanaik and Dirk Draheim: “Web-based crowd-oriented systems can be seen everywhere today. Some popular examples of such platforms include Reddit, MyGov, Wikipedia and GalaxyZoo. The main aim of such platforms is to harness individuals’ collective intelligence (CI) to offer several benefits to society — from solving complex problems to developing innovative solutions. Also, CI platforms are developing at an impressive pace, and each platform has unique features to gather, motivate and engage the crowd to achieve the platform’s goal. However, the design and development of CI systems is an expensive and time-consuming task. Thus, it is difficult for civic and government organizations to develop such platforms. Moreover, many CI platforms do not sustain for a longer period due to a lack of scientific knowledge about the several components that are required to build CI platforms. To fulfil this research gap, we developed a conceptual generic framework for CI systems that can be used to understand and examine CI systems regardless of their domains. Additionally, our CI generic framework allows stakeholders to combine several components in order to perform requirement elicitation for new platforms, thus enabling them to develop their own platforms in an efficient and effective manner. In order to evaluate the completeness and genericness and to find out the limitations of the CI generic model, we have conducted qualitative interviews with a series of CI experts. This article aims to present the findings of these expert interviews and suggest future directions for CI research to improve the generic CI model and to explore the CI from different perspectives…(More)”
Making Sense of Citizens’ Input through Artificial Intelligence: A Review of Methods for Computational Text Analysis to Support the Evaluation of Contributions in Public Participation
Paper by Julia Romberg and Tobias Escher: “Public sector institutions that consult citizens to inform decision-making face the challenge of evaluating the contributions made by citizens. This evaluation has important democratic implications but at the same time, consumes substantial human resources. However, until now the use of artificial intelligence such as computer-supported text analysis has remained an under-studied solution to this problem. We identify three generic tasks in the evaluation process that could benefit from natural language processing (NLP). Based on a systematic literature search in two databases on computational linguistics and digital government, we provide a detailed review of existing methods and their performance. While some promising approaches exist, for instance to group data thematically and to detect arguments and opinions, we show that there remain important challenges before these could offer any reliable support in practice. These include the quality of results, the applicability to non-English language corpuses and making algorithmic models available to practitioners through software. We discuss a number of avenues that future research should pursue that can ultimately lead to solutions for practice. The most promising of these bring in the expertise of human evaluators, for example through active learning approaches or interactive topic modelling…(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.
The Routledge Handbook of Collective Intelligence for Democracy and Governance
Open Access Book edited by Stephen Boucher, Carina Antonia Hallin, and Lex Paulson: “…explores the concepts, methodologies, and implications of collective intelligence for democratic governance, in the first comprehensive survey of this field.
Illustrated by a collection of inspiring case studies and edited by three pioneers in collective intelligence, this handbook serves as a unique primer on the science of collective intelligence applied to public challenges and will inspire public actors, academics, students, and activists across the world to apply collective intelligence in policymaking and administration to explore its potential, both to foster policy innovations and reinvent democracy…(More)”.
Can A.I. and Democracy Fix Each Other?
Peter Coy at The New York Times: “Democracy isn’t working very well these days, and artificial intelligence is scaring the daylights out of people. Some creative people are looking at those two problems and envisioning a solution: Democracy fixes A.I., and A.I. fixes democracy.
Attitudes about A.I. are polarized, with some focusing on its promise to amplify human potential and others dwelling on what could go wrong (and what has already gone wrong). We need to find a way out of the impasse, and leaving it to the tech bros isn’t the answer. Democracy — giving everyone a voice on policy — is clearly the way to go.
Democracy can be taken hostage by partisans, though. That’s where artificial intelligence has a role to play. It can make democracy work better by surfacing ideas from everyone, not just the loudest. It can find surprising points of agreement among seeming antagonists and summarize and digest public opinion in a way that’s useful to government officials. Assisting democracy is a more socially valuable function for large language models than, say, writing commercials for Spam in iambic pentameter.The goal, according to the people I spoke to, is to make A.I. part of the solution, not just part of the problem…(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…)”.
When Concerned People Produce Environmental Information: A Need to Re-Think Existing Legal Frameworks and Governance Models?
Paper by Anna Berti Suman, Mara Balestrini, Muki Haklay, and Sven Schade: “When faced with an environmental problem, locals are often among the first to act. Citizen science is increasingly one of the forms of participation in which people take action to help solve environmental problems that concern them. This implies, for example, using methods and instruments with scientific validity to collect and analyse data and evidence to understand the problem and its causes. Can the contribution of environmental data by citizens be articulated as a right? In this article, we explore these forms of productive engagement with a local matter of concern, focussing on their potential to challenge traditional allocations of responsibilities. Taking mostly the perspective of the European legal context, we identify an existing gap between the right to obtain environmental information, granted at present by the Aarhus Convention, and “a right to contribute information” and have that information considered by appointed institutions. We also explore what would be required to effectively practise this right in terms of legal and governance processes, capacities, and infrastructures, and we propose a flexible framework to implement it. Situated at the intersection of legal and governance studies, this article builds on existing literature on environmental citizen science, and on its interplay with law and governance. Our methodological approach combines literature review with legal analysis of the relevant conventions and national rules. We conclude by reflecting on the implications of our analysis, and on the benefits of this legal innovation, potentially fostering data altruism and an active citizenship, and shielding ordinary people against possible legal risks…(More)”.
The pandemic veneer: COVID-19 research as a mobilisation of collective intelligence by the global research community
Paper by Daniel W Hook and James R Wilsdon: “The global research community responded with speed and at scale to the emergence of COVID-19, with around 4.6% of all research outputs in 2020 related to the pandemic. That share almost doubled through 2021, to reach 8.6% of research outputs. This reflects a dramatic mobilisation of global collective intelligence in the face of a crisis. It also raises fundamental questions about the funding, organisation and operation of research. In this Perspective article, we present data that suggests that COVID-19 research reflects the characteristics of the underlying networks from which it emerged, and on which it built. The infrastructures on which COVID-19 research has relied – including highly skilled, flexible research capacity and collaborative networks – predated the pandemic, and are the product of sustained, long-term investment. As such, we argue that COVID-19 research should not be viewed as a distinct field, or one-off response to a specific crisis, but as a ‘pandemic veneer’ layered on top of longstanding interdisciplinary networks, capabilities and structures. These infrastructures of collective intelligence need to be better understood, valued and sustained as crucial elements of future pandemic or crisis response…(More)”.
Shared wisdom is all we need
Article by Justin Russell: “In the modern age, the research of Judith Glück shows that ‘wiser’ people learn valuable lessons from life’s challenges and then live happier and more fulfilling lives. On the whole, they are more connected with nature, add more to others’ lives and are less easily swayed by unreasoned rhetoric. Read Judith Glück’s Wisdom Profile on evidencebasedwisdom.com for detail on how she defines wisdom.
I have been following the research on wisdom for over a decade now, initially as part of my dissertation, In pursuit of organisational wisdom, which aimed, as part of my MSc in business psychology, to understand the relationship between wisdom and organisation leadership. Subsequently, I’ve become interested in the role that ancient wisdom has in the modern world more as a means to continually grow personally and support coaching clients.
Wisdom has only really entered into the psychological realm (as opposed to the philosophical realm) in the last few decades. Fortunately, it can draw on many previous years of research into vertical development, and generally of our understanding of other corollary ideas such as good decision-making.
While we have an incomplete picture of how wisdom develops, vertical development theories (such as those of Jane Loevinger, Erik Erikson and Robert Kegan) help us appreciate that throughout life we continue to grow and evolve, gaining new capabilities as we do. Using those capabilities is something else though, and the most developed (wisest) among us aren’t widely distributed throughout society. Through understanding wise decision-making, in Igor Grossman’s work, we know that emotional management (as measured through heart rate) is important in being able to take in all the required information and deal with it in a dispassionate (but not unfeeling) way.
As a thought experiment, I ask myself: “How would I go about making a wiser society?” The solution is highly dependent on which branch of wisdom research you attend to and so I see a threefold solution to this otherwise nebulous challenge….(More)”
Open-source intelligence is piercing the fog of war in Ukraine
The Economist: “…The rise of open-source intelligence, OSINT to insiders, has transformed the way that people receive news. In the run-up to war, commercial satellite imagery and video footage of Russian convoys on TikTok, a social-media site, allowed journalists and researchers to corroborate Western claims that Russia was preparing an invasion. OSINT even predicted its onset. Jeffrey Lewis of the Middlebury Institute in California used Google Maps’ road-traffic reports to identify a tell-tale jam on the Russian side of the border at 3:15am on February 24th. “Someone’s on the move”, he tweeted. Less than three hours later Vladimir Putin launched his war.
Satellite imagery still plays a role in tracking the war. During the Kherson offensive, synthetic-aperture radar (SAR) satellites, which can see at night and through clouds, showed Russia building pontoon bridges over the Dnieper river before its retreat from Kherson, boats appearing and disappearing as troops escaped east and, later, Russia’s army building new defensive positions along the M14 highway on the river’s left bank. And when Ukrainian drones struck two air bases deep inside Russia on December 5th, high-resolution satellite images showed the extent of the damage…(More)”.
A Comparative Study of Citizen Crowdsourcing Platforms and the Use of Natural Language Processing (NLP) for Effective Participatory Democracy
Paper by Carina Antonia Hallin: ‘The use of crowdsourcing platforms to harness citizen insights for policymaking has gained increasing importance in regional and national policy planning. Participatory democracy using crowdsourcing platforms includes various initiatives, such as generating ideas for new law reforms (Aitamurto and Landemore 2015], economic development, and solving challenges related to how to create inclusive social actions and interventions for better, healthier, and more prosperous local communities (Bentley and Pugalis, 2014). Such case observations, coupled with the increasing prevalence of internet-based communication, point to the real benefits of implementing participatory democracies on a mass scale in which citizens are invited to contribute their ideas, opinions, and deliberations (Salganik and Levy 2015). By adopting collective intelligence platforms, public authorities can harness local knowledge from citizens to find the right ‘policy mix’ and collaborate with citizens and relevant actors in the policymaking processes. This comparative study aims to validate the adoption of collective intelligence and artificial intelligence/natural language processing (NLP) on crowdsourcing platforms for effective participatory democracy and policymaking in local governments. The study compares 15 citizen crowdsourcing platforms, including Natural language Processing (NLP), for policymaking across Europe and the United States. The study offers a framework for working with citizen crowdsourcing platforms and exploring the usefulness of NLP on the platforms for effective participatory democracy…(More)”.