More-than-human governance experiments in Europe


Paper by Claudia Chwalisz & Lucy Reid: “There is a growing network of people and places exploring and practising how governance and policy design can draw on more-than-human intelligences.

‘More-than-human’ was initially coined by David Abram in his 1997 book The Spell of the Sensuous. The term refers to the animate earth and the impossibility of separating our human- ness from our relationship with it. Our exploration related to governance has been around how we might meaningfully consider our relationship with the living world when taking decisions.

We have undertaken a short exploratory research project to learn who is conducting new governance experiments in Europe to begin to map the field, learn from best practices, and share these findings…

There were three main types of approaches to applying the idea of more-than-human governance in practice, sometimes with an overlap:

  • Rights-based;
  • Representation-focused, and 
  • Artistic.

We identified four key groups we felt were missing from our initial research and discussions:

  • Indigenous voices;
  • More non-specialists and artists;
  • A few critical voices, and
  • People using technology in novel ways that reshape our relationship with the living world…(More)”

We Need To Talk About Climate: How Citizens’ Assemblies Can Help Us Solve The Climate Crisis


Book by Graham Smith: “Citizens’ assemblies bring the shared wisdom of ordinary people into political decision-making. How might they help us address the climate crisis? The transition to net zero and climate resilient societies requires deep social and economic transformations that will have significant effects on citizens’ lives. Such a transition needs to engage the public directly. Climate assemblies show us how this can be done.

This book explains the variety of climate assemblies that have taken place so far at local, national and international levels and explains why they have captured the imagination of government and activists alike. It examines the different contexts and designs of climate assemblies and assesses their impact. Drawing lessons from current practice, the book demonstrates how assemblies can take us beyond the shortcomings of electoral and partisan politics and how they can have a real and lasting impact on climate policy and politics…(More)”.

Conversational Swarms of Humans and AI Agents enable Hybrid Collaborative Decision-making


Paper by Louis Rosenberg et al: “Conversational Swarm Intelligence (CSI) is an AI-powered communication and collaboration technology that allows large, networked groups (of potentially unlimited size) to hold thoughtful conversational deliberations in real-time. Inspired by the efficient decision-making dynamics of fish schools, CSI divides a human population into a set of small subgroups connected by AI agents. This enables the full group to hold a unified conversation. In this study, groups of 25 participants were tasked with selecting a roster of players in a real Fantasy Baseball contest. A total of 10 trials were run using CSI. In half the trials, each subgroup was augmented with a fact-providing AI agent referred to herein as an Infobot. The Infobot was loaded with a wide range of MLB statistics. The human participants could query the Infobot the same way they would query other persons in their subgroup. Results show that when using CSI, the 25-person groups outperformed 72% of individually surveyed participants and showed significant intelligence amplification versus the mean score (p=0.016). The CSI-enabled groups also significantly outperformed the most popular picks across the collected surveys for each daily contest (p<0.001). The CSI sessions that used Infobots scored slightly higher than those that did not, but it was not statistically significant in this study. That said, 85% of participants agreed with the statement ‘Our decisions were stronger because of information provided by the Infobot’ and only 4% disagreed. In addition, deliberations that used Infobots showed significantly less variance (p=0.039) in conversational content across members. This suggests that Infobots promoted more balanced discussions in which fewer members dominated the dialog. This may be because the infobot enabled participants to confidently express opinions with the support of factual data…(More)”.

Rediscovering the Pleasures of Pluralism: The Potential of Digitally Mediated Civic Participation


Essay by Lily L. Tsai and Alex Pentland: “Human society developed when most collective decision-making was limited to small, geographically concentrated groups such as tribes or extended family groups. Discussions about community issues could take place among small numbers of people with similar concerns. As coordination across larger distances evolved, the costs of travel required representatives from each clan or smaller group to participate in deliberations and decision-making involving multiple local communities. Divergence in the interests of representatives and their constituents opened up opportunities for corruption and elite capture.

Technologies now enable very large numbers of people to communicate, coordinate, and make collective decisions on the same platform. We have new opportunities for digitally enabled civic participation and direct democracy that scale for both the smallest and largest groups of people. Quantitative experiments, sometimes including tens of millions of individuals, have examined inclusiveness and efficiency in decision-making via digital networks. Their findings suggest that large networks of nonexperts can make practical, productive decisions and engage in collective action under certain (1) conditions. (2) These conditions include shared knowledge among individuals and communities with similar concerns, and information about their recent actions and outcomes…(More)”

Quality Assessment of Volunteered Geographic Information


Paper by Donia Nciri et al: “Traditionally, government and national mapping agencies have been a primary provider of authoritative geospatial information. Today, with the exponential proliferation of Information and Communication Technologies or ICTs (such as GPS, mobile mapping and geo-localized web applications, social media), any user becomes able to produce geospatial information. This participatory production of geographical data gives birth to the concept of Volunteered Geographic Information (VGI). This phenomenon has greatly contributed to the production of huge amounts of heterogeneous data (structured data, textual documents, images, videos, etc.). It has emerged as a potential source of geographic information in many application areas. Despite the various advantages associated with it, this information lacks often quality assurance, since it is provided by diverse user profiles. To address this issue, numerous research studies have been proposed to assess VGI quality in order to help extract relevant content. This work attempts to provide an overall review of VGI quality assessment methods over the last decade. It also investigates varied quality assessment attributes adopted in recent works. Moreover, it presents a classification that forms a basis for future research. Finally, it discusses in detail the relevance and the main limitations of existing approaches and outlines some guidelines for future developments…(More)”.

Design Thinking as a Strategic Approach to E-Participation


Book by Ilaria Mariani et al: “This open access book examines how the adoption of Design Thinking (DT) can support public organisations in overcoming some of the current barriers in e-participation. Scholars have discussed the adoption of technology to strengthen public engagement through e-participation, streamline and enhance the relationship between government and society, and improve accessibility and effectiveness. However, barriers persist, necessitating further research in this area. By analysing e-participation barriers emerging from the literature and aligning them with notions in the DT literature, this book identifies five core DT practices to enhance e-participation: (i) Meaning creation and sense-making, (ii) Publics formation, (iii) Co-production, (iv) Experimentation and prototyping, and (v) Changing organisational culture. As a result, this book provides insights into enhancing tech-aided public engagement and promoting inclusivity for translating citizen input into tangible service implementations. The book triangulates qualitative analysis of relevant literature in the fields of e-participation and DT with knowledge from European projects experimenting with public participation activities implying experimentation with digital tools. This research aims to bridge the gap between theoretical frameworks and practical application, ultimately contributing to more effective e-participation and digital public services…(More)”.

When combinations of humans and AI are useful: A systematic review and meta-analysis


Paper by Michelle Vaccaro, Abdullah Almaatouq & Thomas Malone: “Inspired by the increasing use of artificial intelligence (AI) to augment humans, researchers have studied human–AI systems involving different tasks, systems and populations. Despite such a large body of work, we lack a broad conceptual understanding of when combinations of humans and AI are better than either alone. Here we addressed this question by conducting a preregistered systematic review and meta-analysis of 106 experimental studies reporting 370 effect sizes. We searched an interdisciplinary set of databases (the Association for Computing Machinery Digital Library, the Web of Science and the Association for Information Systems eLibrary) for studies published between 1 January 2020 and 30 June 2023. Each study was required to include an original human-participants experiment that evaluated the performance of humans alone, AI alone and human–AI combinations. First, we found that, on average, human–AI combinations performed significantly worse than the best of humans or AI alone (Hedges’ g = −0.23; 95% confidence interval, −0.39 to −0.07). Second, we found performance losses in tasks that involved making decisions and significantly greater gains in tasks that involved creating content. Finally, when humans outperformed AI alone, we found performance gains in the combination, but when AI outperformed humans alone, we found losses. Limitations of the evidence assessed here include possible publication bias and variations in the study designs analysed. Overall, these findings highlight the heterogeneity of the effects of human–AI collaboration and point to promising avenues for improving human–AI systems…(More)”.

Make it make sense: the challenge of data analysis in global deliberation


Blog by Iñaki Goñi: “From climate change to emerging technologies to economic justice to space, global and transnational deliberation is on the rise. Global deliberative processes aim to bring citizen-centred governance to issues that no single nation can resolve alone. Running deliberative processes at this scale poses a unique set of challenges. How to select participants, make the forums accountableimpactfulfairly designed, and aware of power imbalances, are all crucial and open questions….

Massifying participation will be key to invigorating global deliberation. Assemblies will have a better chance of being seen as legitimate, fair, and publicly supported if they involve thousands or even millions of diverse participants. This raises an operational challenge: how to systematise political ideas from many people across the globe.

In a centralised global assembly, anything from 50 to 500 citizens from various countries engage in a single deliberation and produce recommendations or political actions by crossing languages and cultures. In a distributed assembly, multiple gatherings are convened locally that share a common but flexible methodology, allowing participants to discuss a common issue applied both to local and global contexts. Either way, a global deliberation process demands the organisation and synthesis of possibly thousands of ideas from diverse languages and cultures around the world.

How could we ever make sense of all that data to systematise citizens’ ideas and recommendations? Most people turn their heads to computational methods to help reduce complexity and identify patterns. First up, one technique for analysing text amounts to little more than simple counting, through which we can produce something like a frequency table or a wordcloud…(More)”.

AI can help humans find common ground in democratic deliberation


Paper by Michael Henry Tessler et al: “We asked whether an AI system based on large language models (LLMs) could successfully capture the underlying shared perspectives of a group of human discussants by writing a “group statement” that the discussants would collectively endorse. Inspired by Jürgen Habermas’s theory of communicative action, we designed the “Habermas Machine” to iteratively generate group statements that were based on the personal opinions and critiques from individual users, with the goal of maximizing group approval ratings. Through successive rounds of human data collection, we used supervised fine-tuning and reward modeling to progressively enhance the Habermas Machine’s ability to capture shared perspectives. To evaluate the efficacy of AI-mediated deliberation, we conducted a series of experiments with over 5000 participants from the United Kingdom. These experiments investigated the impact of AI mediation on finding common ground, how the views of discussants changed across the process, the balance between minority and majority perspectives in group statements, and potential biases present in those statements. Lastly, we used the Habermas Machine for a virtual citizens’ assembly, assessing its ability to support deliberation on controversial issues within a demographically representative sample of UK residents…(More)”.

Exploring New Frontiers of Citizen Participation in the Policy Cycle


OECD Discussion Paper: “… starts from the premise that democracies are endowed with valuable assets and that putting citizens at the heart of policy making offers an opportunity to strengthen democratic resilience. It draws on data, evidence and insights generated through a wide range of work underway at the OECD to identify systemic challenges and propose lines of action for the future. It calls for greater attention to, and investments in, citizen participation in policy making as one of the core functions of the state and the ‘life force’ of democratic governance. In keeping with the OECD’s strong commitment to providing a platform for diverse perspectives on challenging policy issues, it also offers a collection of thoughtprovoking opinion pieces by leading practitioners whose position as elected officials, academics and civil society leaders provides them with a unique vantage point from which to scan the horizon. As a contribution to an evolving field, this Discussion Paper offers neither a prescriptive framework nor a roadmap for governments but represents a step towards reaching a shared understanding of the very real challenges that lie ahead. It is also a timely invitation to all interested actors to join forces and take concerted action to embed meaningful citizen participation in policy making…(More)”.