Democracy online: technologies for democratic deliberation


Paper by Adam Meylan-Stevenson, Ben Hawes, and Matt Ryan: “This paper explores the use of online tools to improve democratic participation and deliberation. These tools offer new opportunities for inclusive communication and networking, specifically targeting the participation of diverse groups in decision-making processes. It summarises recent research and published reports by users of these tools and categorises the tools according to functions and objectives. It also draws on testimony and experiences recorded in interviews with some users of these tools in public sector and civil society organisations internationally.


The objective is to introduce online deliberation tools to a wider audience, including benefits, limitations and potential disadvantages, in the immediate context of research on democratic deliberation. We identify limitations of tools and of the context and markets in which online deliberation tools are currently being developed. The paper suggests that fostering a collaborative approach among technology developers and democratic practitioners, might improve opportunities for funding and continual optimisation that have been used successfully in other online application sectors…(More)”.

Enhancing human mobility research with open and standardized datasets


Article by Takahiro Yabe et al: “The proliferation of large-scale, passively collected location data from mobile devices has enabled researchers to gain valuable insights into various societal phenomena. In particular, research into the science of human mobility has become increasingly critical thanks to its interdisciplinary effects in various fields, including urban planning, transportation engineering, public health, disaster management, and economic analysis. Researchers in the computational social science, complex systems, and behavioral science communities have used such granular mobility data to uncover universal laws and theories governing individual and collective human behavior. Moreover, computer science researchers have focused on developing computational and machine learning models capable of predicting complex behavior patterns in urban environments. Prominent papers include pattern-based and deep learning approaches to next-location prediction and physics-inspired approaches to flow prediction and generation.

Regardless of the research problem of interest, human mobility datasets often come with substantial limitations. Existing publicly available datasets are often small, limited to specific transport modes, or geographically restricted, owing to the lack of open-source and large-scale human mobility datasets caused by privacy concerns…(More)”.

The Role of Open Data in Driving Sectoral Innovation and Global Economic Development


Paper by Olalekan Jamiu Okunleye: “This study assessed the transformative impact of implementing open data principles on fostering innovation across various sectors and enhancing global economic development. Using a comprehensive analysis of secondary data from government portals, industry reports, and global innovation indexes between 2015 to 2019, the research employed panel data regression, correlation analysis, and descriptive statistics to evaluate key relationships. The findings indicate that the availability of open data significantly increases innovation outputs, with robust statistical evidence showing positive correlations between open data sets and sector-specific innovation metrics such as patents filed, R&D expenditure, and the number of startups created. Greater interoperability of open data across international borders contributes to economic growth, particularly through international joint ventures. However, the lack of standardized data formats hampers cross-sector collaboration. Regions with well-established open data policies demonstrate faster technological advancements and economic development compared to regions without such policies. The study highlighted the critical importance of promoting open data initiatives, standardizing data formats, strengthening data governance frameworks, and investing in digital infrastructure and capacity building to optimize open data utilization and drive sustainable development…(More)”.

Searching for Safer, Healthier Digital Spaces


Report by Search for Common Ground (Search): “… has specialized in approaches that leverage media such as radio and television to reach target audiences. In recent years, the organization has been more intentional about digital and online spaces, delving deeper into the realm of digital peacebuilding. Search has since implemented a number of digital peacebuilding projects.

Search wanted to understand if and how its initiatives were able to catalyze constructive agency among social media users, away from a space of apathy, self-doubt, or fear to incite inclusion, belonging, empathy, mutual understanding, and trust. This report examines these hypotheses using primary data from former and current participants in Search’s digital peacebuilding initiatives…(More)”

Designing an Effective Governance Model for Data Collaboratives


Paper by Federico Bartolomucci & Francesco Leoni: “Data Collaboratives have gained traction as interorganizational partnerships centered on data exchange. They enhance the collective capacity of responding to contemporary societal challenges using data, while also providing participating organizations with innovation capabilities and reputational benefits. Unfortunately, data collaboratives often fail to advance beyond the pilot stage and are therefore limited in their capacity to deliver systemic change. The governance setting adopted by a data collaborative affects how it acts over the short and long term. We present a governance design model to develop context-dependent data collaboratives. Practitioners can use the proposed model and list of key reflective questions to evaluate the critical aspects of designing a governance model for their data collaboratives…(More)”.

AI-Ready FAIR Data: Accelerating Science through Responsible AI and Data Stewardship


Article by Sean Hill: “Imagine a future where scientific discovery is unbound by the limitations of data accessibility and interoperability. In this future, researchers across all disciplines — from biology and chemistry to astronomy and social sciences — can seamlessly access, integrate, and analyze vast datasets with the assistance of advanced artificial intelligence (AI). This world is one where AI-ready data empowers scientists to unravel complex problems at unprecedented speeds, leading to breakthroughs in medicine, environmental conservation, technology, and more. The vision of a truly FAIR (Findable, Accessible, Interoperable, Reusable) and AI-ready data ecosystem, underpinned by Responsible AI (RAI) practices and the pivotal role of data stewards, promises to revolutionize the way science is conducted, fostering an era of rapid innovation and global collaboration…(More)”.

Open government, civic tech and digital platforms in Latin America: A governance study of Montevideo’s urban app ‘Por Mi Barrio’


Paper by Carolina Aguerre and Carla Bonina: “Digital technologies have a recognised potential to build more efficient, credible, and innovative public institutions in Latin America. Despite progress, digital transformation in Latin American governments remains limited. In this work, we explore a peculiar yet largely understudied opportunity in the region: pursuing digital government transformation as a collaborative process between the government and civil society organisations. To do so, we draw from information systems research on digital government and platforms for development, complemented with governance theory from political science and conduct an interpretive in-depth case study of an urban reporting platform in Montevideo called ‘Por Mi Barrio’. The study reveals three mutually reinforced orders of governance in the trajectory of the project and explain how the collaboration unfolded over time: (i) a technical decision to use open platform architectures; (ii) the negotiation of formal and informal rules to make the project thrive and (iii) a shared, long-term ideology around the value of open technologies and technical sovereignty grounded in years of political history. Using a contextual explanation approach, our study helps to improve our understanding on the governance of collaborative digital government platforms in Latin America, with specific contributions to practice…(More)”.

UN adopts Chinese resolution with US support on closing the gap in access to artificial intelligence


Article by Edith Lederer: “The U.N. General Assembly adopted a Chinese-sponsored resolution with U.S. support urging wealthy developed nations to close the widening gap with poorer developing countries and ensure that they have equal opportunities to use and benefit from artificial intelligence.

The resolution approved Monday follows the March 21 adoption of the first U.N. resolution on artificial intelligence spearheaded by the United States and co-sponsored by 123 countries including China. It gave global support to the international effort to ensure that AI is “safe, secure and trustworthy” and that all nations can take advantage of it.

Adoption of the two nonbinding resolutions shows that the United States and China, rivals in many areas, are both determined to be key players in shaping the future of the powerful new technology — and have been cooperating on the first important international steps.

The adoption of both resolutions by consensus by the 193-member General Assembly shows widespread global support for their leadership on the issue.

Fu Cong, China’s U.N. ambassador, told reporters Monday that the two resolutions are complementary, with the U.S. measure being “more general” and the just-adopted one focusing on “capacity building.”

He called the Chinese resolution, which had more than 140 sponsors, “great and far-reaching,” and said, “We’re very appreciative of the positive role that the U.S. has played in this whole process.”

Nate Evans, spokesperson for the U.S. mission to the United Nations, said Tuesday that the Chinese-sponsored resolution “was negotiated so it would further the vision and approach the U.S. set out in March.”

“We worked diligently and in good faith with developing and developed countries to strengthen the text, ensuring it reaffirms safe, secure, and trustworthy AI that respects human rights, commits to digital inclusion, and advances sustainable development,” Evans said.

Fu said that AI technology is advancing extremely fast and the issue has been discussed at very senior levels, including by the U.S. and Chinese leaders.

“We do look forward to intensifying our cooperation with the United States and for that matter with all countries in the world on this issue, which … will have far-reaching implications in all dimensions,” he said…(More)”.

Positive Pathways report


Report by Michael Lawrence and Megan Shipman: “Polycrisis analysis reveals the complex and systemic nature of the world’s problems, but it can also help us pursue “positive pathways” to better futures. This report outlines the sorts of systems changes required to avoid, mitigate, and navigate through polycrisis given the dual nature of crises as harmful disasters and opportunities for transformation. It then examines the progression between three prominent approaches to systems change—leverage points, tipping points, and multi-systemic stability landscapes—by highlighting their advances and limitations. The report concludes that new tools like Cross-Impact Balance analysis can build on these approaches to help navigate through polycrisis by identifying stable and desirable multi-systemic equilibria…(More)”

A systematic analysis of digital tools for citizen participation


Paper by Bokyong Shin et al: “Despite the increasing use of digital tools for citizen participation, their ecosystem and functionality remain underexplored. What digital tools exist, and how do they help citizens engage in policymaking? This article addresses this gap by examining the supply side of digital tools for citizen participation. We compiled a comprehensive dataset of 116 digital tools from three public repositories. Using the collective intelligence genome framework, adapted for the e-participation context, we systematically examined the dynamics and trends of these tools through cluster analyses. Our findings highlight the potential of digital participatory tools to facilitate the flow of information from citizens to governments using advanced technologies. However, a prominent deficiency was identified in disseminating accountability information to citizens regarding how policy decisions are made, realised, and assessed. These findings offer valuable insights and notable gaps in the digital tool ecosystem…(More)”.