Collective Intelligence in Open Policymaking


Book by Rafał Olszowski: “This book examines the nexus of collective intelligence (CI), a feature of online projects in which various types of communities solve problems intelligently, and open policymaking, as a trend of large groups of people shaping public policies.

While doing so, it presents the current state of theoretical knowledge for these concepts, many practical examples of successful and unsuccessful projects, as well as additional research and laboratory experiments. The book develops an analytical framework based on qualitative research, which is applied to the analysis of different projects in selected case studies, such as Decide Madrid; Better Reykjavik; Loomio; Deliberatorium; Civic Budget of the City of Kraków.

The book is structured into four chapters, addressing essential questions in the field: (1) Opening Policymaking; (2) Beyond the Individual: Understanding the Evolution of Collective Intelligence; (3) A Review of the Projects Using Collective Intelligence in Policymaking; (4) Online Public Debate. How Can We Make it More Intelligent?…(More)”.

21st Century technology can boost Africa’s contribution to global biodiversity data


Article by Wiida Fourie-Basson: “In spring in the Southern hemisphere, the natural world is on full throttle: “Flowers are blooming, insects are emerging, birds are singing, and reptiles are coming out of their winter hibernation,” wrote Pete Crowcroft, known as @possumpete on the citizen science app, iNaturalist.

Yet, despite this annual bursting forth of life, a 2023 preprint puts the continent’s contribution to the Global Biodiversity Information Facility at a dismal 2.69%, with huge disparities between African countries…

Since its formation in 2008 as part of a graduate project at the University of California, the iNaturalist platform has evolved into one of the world’s most popular biodiversity observation platforms. Anyone, anywhere in the world, with a smartphone can download the app and start posting images and descriptions of their observations, and a large community of identifiers helps to confirm the species’ observation and label it as “research grade”.

Rebelo says iNaturalist is now used on a massive scale: “During the 2023 City Nature Challenge almost 67,000 people made nearly two million observations over four days – that is, five observations each second. Another 22,000 specialists identified 60 thousand species of animals, plants, and fungi. Few citizen science platforms are as powerful and efficient.”..

Andra Waagmeester, data scientist at Micelio in Belgium and a Wikimentor, believes the dearth of biodiversity data from Africa can be solved by combining the iNaturalist and Wikipedia communities: “They are independent communities, but there is substantial overlap between them. By overlaying the two data sets and leveraging the semantic web, we have the means to deal with the challenge.”

The need for biodiversity-related knowledge from Africa was first acknowledged by the Wiki-community during the 2018 Wikimania conference in Cape Town. The Wiki Biodiversity Project has since grown into an active global community that leverages crowd-sourced knowledge from platforms like iNaturalist…(More)”.

The Future of Peacebuilding: Why Investing in PeaceTech is Essential in Today’s Geopolitics


Article by Artur Kluz and Stefaan Verhulst: “In today’s geopolitical landscape, marked by escalating tensions and technological advancements, there is a significant opportunity for technology to contribute to conflict prevention and peacebuilding: i.e. peacetech. Secretary of State Antony Blinken, in his recent speech on Technology and the Transformation of US Foreign Policy, emphasized the crucial role technology plays in geopolitical contests and its potential as an “engine of historic possibility — for our economies, for our democracies, for our people, for our planet.” His assertion that “security, stability, prosperity — they are no longer solely analog matters” underscores the necessity to urgently focus on and invest in technological innovations that can support peacebuilding in the digital age.

Peacetech is an emerging field that describes a range of technologies that can be used for peacebuilding. From satellite internet constellations and early warning systems to AI-driven conflict prediction models, peacetech has the potential to transform the landscape of peacekeeping and conflict prevention. With its diversity of applications, it can support institutions’ peacebuilding or conflict prevention activities by providing insights faster and at scale. It can empower local populations to promote their safety and security and help observers predict future conflict…(More)”.

“The Death of Wikipedia?” — Exploring the Impact of ChatGPT on Wikipedia Engagement


Paper by Neal Reeves, Wenjie Yin, Elena Simperl: “Wikipedia is one of the most popular websites in the world, serving as a major source of information and learning resource for millions of users worldwide. While motivations for its usage vary, prior research suggests shallow information gathering — looking up facts and information or answering questions — dominates over more in-depth usage. On the 22nd of November 2022, ChatGPT was released to the public and has quickly become a popular source of information, serving as an effective question-answering and knowledge gathering resource. Early indications have suggested that it may be drawing users away from traditional question answering services such as Stack Overflow, raising the question of how it may have impacted Wikipedia. In this paper, we explore Wikipedia user metrics across four areas: page views, unique visitor numbers, edit counts and editor numbers within twelve language instances of Wikipedia. We perform pairwise comparisons of these metrics before and after the release of ChatGPT and implement a panel regression model to observe and quantify longer-term trends. We find no evidence of a fall in engagement across any of the four metrics, instead observing that page views and visitor numbers increased in the period following ChatGPT’s launch. However, we observe a lower increase in languages where ChatGPT was available than in languages where it was not, which may suggest ChatGPT’s availability limited growth in those languages. Our results contribute to the understanding of how emerging generative AI tools are disrupting the Web ecosystem…(More)”. See also: Are we entering a Data Winter? On the urgent need to preserve data access for the public interest.

Training new teachers with digital simulations


Report by the Susan McKinnon Foundation: “This report shows the findings of a rapid review of the global literature on immersive simulation for teacher preparation. It finds that immersive digital simulations – and corresponding supports – can create significant positive shifts in trainee teacher skills, knowledge, and self-efficacy. The evidence is strong; of the 35 articles in our review, 30 studies show positive improvements in trainee teacher outcomes. The 30 studies showing positive effects include studies with rigorous designs, including a comprehensive systematic review with many well designed randomised controlled studies (the ‘gold standard’ of research). Benefits are seen across a range of teaching skills, from classroom management and teaching instruction through to better communication skills with parents and colleagues.


Six active ingredients in the implementation of digital simulations are important. This includes incorporating opportunities for: [1] instructional coaching, [2] feedback, [3] observation, [4] visual examples or models of best practice, [5] high dosage, that is, practicing many times over and [6]
strong underpinning theory and content… (More)”.

LOGIC: Good Practice Principles for Mainstreaming Behavioural Public Policy


OECD Report: “This report outlines good practice principles intended to encourage the incorporation of behavioural perspectives as part of standard policymaking practice in government and governmental organisations. Evidence from the behavioural sciences is potentially transformative in many areas of government policy and administration. The 14 good practice principles, organised into five dimensions, present a guide to the consistent production and application of useful behavioural science evidence. Governments and governmental organisations looking to mainstream behavioural public policy may use the good practice principles and case studies included in this report to assess their current policy systems and develop strategies to further improve them…(More)”

Generative AI and Democracy: Impacts and Interventions


Report by Demos (UK): “This week’s election announcement has set all political parties firmly into campaign mode and over the next 40 days the public will be weighing up who will get their vote on 4th July.

This democratic moment, however, will take place against the backdrop of a new and largely untested threat; generative-AI. In the lead up to the election, the strength of our electoral integrity is likely to be tested by the spread of AI-generated content and deepfakes – an issue that over 60% of the public are concerned about, according to recent Demos and Full Fact polling.

Our new paper takes a look at the near and long-term solutions at our disposal for bolstering the resilience of our democratic institutions amidst the modern technological age. We explore the top four pressing mechanisms by which generative-AI challenges the stability of democracy, and how to mitigate them…(More)”.

AI Chatbot Credited With Preventing Suicide. Should It Be?


Article by Samantha Cole: “A recent Stanford study lauds AI companion app Replika for “halting suicidal ideation” for several people who said they felt suicidal. But the study glosses over years of reporting that Replika has also been blamed for throwing users into mental health crises, to the point that its community of users needed to share suicide prevention resources with each other.

The researchers sent a survey of 13 open-response questions to 1006 Replika users who were 18 years or older and students, and who’d been using the app for at least one month. The survey asked about their lives, their beliefs about Replika and their connections to the chatbot, and how they felt about what Replika does for them. Participants were recruited “randomly via email from a list of app users,” according to the study. On Reddit, a Replika user posted a notice they received directly from Replika itself, with an invitation to take part in “an amazing study about humans and artificial intelligence.”

Almost all of the participants reported being lonely, and nearly half were severely lonely. “It is not clear whether this increased loneliness was the cause of their initial interest in Replika,” the researchers wrote. 

The surveys revealed that 30 people credited Replika with saving them from acting on suicidal ideation: “Thirty participants, without solicitation, stated that Replika stopped them from attempting suicide,” the paper said. One participant wrote in their survey: “My Replika has almost certainly on at least one if not more occasions been solely responsible for me not taking my own life.” …(More)”.

Science in the age of AI


Report by the Royal Society: “The unprecedented speed and scale of progress with artificial intelligence (AI) in recent years suggests society may be living through an inflection point. With the growing availability of large datasets, new algorithmic techniques and increased computing power, AI is becoming an established tool used by researchers across scientific fields who seek novel solutions to age-old problems. Now more than ever, we need to understand the extent of the transformative impact of AI on science and what scientific communities need to do to fully harness its benefits. 

This report, Science in the age of AI (PDF), explores how AI technologies, such as deep learning or large language models, are transforming the nature and methods of scientific inquiry. It also explores how notions of research integrity; research skills or research ethics are inevitably changing, and what the implications are for the future of science and scientists. 

The report addresses the following questions: 

  • How are AI-driven technologies transforming the methods and nature of scientific research? 
  • What are the opportunities, limitations, and risks of these technologies for scientific research? 
  • How can relevant stakeholders (governments, universities, industry, research funders, etc) best support the development, adoption, and uses of AI-driven technologies in scientific research? 

In answering these questions, the report integrates evidence from a range of sources, including research activities with more than 100 scientists and the advisement of an expert Working group, as well as a taxonomy of AI in science (PDF), a historical review (PDF) on the role of disruptive technologies in transforming science and society, and a patent landscape review (PDF) of artificial intelligence related inventions, which are available to download…(More)”

What are location services and how do they work?


Article by Douglas Crawford: “Location services refer to a combination of technologies used in devices like smartphones and computers that use data from your device’s GPS, WiFi, mobile (cellular networks), and sometimes even Bluetooth connections to determine and track your geographic location.

This information can be accessed by your operating system (OS) and the apps installed on your device. In many cases, this allows them to perform their purpose correctly or otherwise deliver useful content and features. 

For example, navigation/map, weather, ridesharing (such Uber or Lyft), and health and fitness tracking apps require location services to perform their functions, while datingtravel, and social media apps can offer additional functionality with access to your device’s location services (such as being able to locate a Tinder match or see recommendations for nearby restaurants ).

There’s no doubt location services (and the apps that use them) can be useful. However, the technology can be (and is) also abused by apps to track your movements. The apps then usually sell this information to advertising and analytics companies  that combine it with other data to create a profile of you, which they can then use to sell ads. 

Unfortunately, this behavior is not limited to “rogue” apps. Apps usually regarded as legitimate, including almost all Google apps, Facebook, Instagram, and others, routinely send detailed and highly sensitive location details back to their developers by default. And it’s not just apps — operating systems themselves, such as Google’s Android and Microsoft Windows also closely track your movements using location services. 

This makes weighing the undeniable usefulness of location services with the need to maintain a basic level of privacy a tricky balancing act. However, because location services are so easy to abuse, all operating systems include built-in safeguards that give you some control over their use.

In this article, we’ll look at how location services work..(More)”.