European project to make web search more open and ethical

Curated on Posted on by Stefaan Verhulst

PressRelease: “The OpenWebSearch.eu consortium, which includes CERN, has released a pilot of the first federated, pan-European Open Web Index, paving the way for a new generation of unbiased and ethical search engines

Artistic map of Europe with search bars in different languages overlaid
(Image: openwebsearch.eu / using images by NASA (europe_dnb_2012_lrg.jpg), Unsplash (christopher-burns-dzejyfCAzIA-unsplash))

On 6 June, the OpenWebSearch.eu consortium released a pilot of a new infrastructure that aims to make European web search fairer, more transparent and commercially unbiased. With strong participation by CERN, the European Open Web Index (OWI) is now open for use by academic, commercial and independent teams under a general research licence, with commercial options in development on a case-by-case basis.

The OpenWebSearch.eu initiative was launched in 2022, with a consortium made up of 14 leading research institutions from across Europe, including CERN…

The OWI offers a clear alternative based on European values. The project’s cross-disciplinary nature, ensuring continuous dialogue between technical teams and legal, ethical and social experts, ensures that fairness and privacy are built into the OWI from the start. “Over thirty years since the World Wide Web was created at CERN and released to the public, our commitment to openness continues,” says Noor Afshan Fathima, IT research fellow at CERN. “Search is the next logical step in democratising digital access, especially as we enter the AI era.” The OWI facilitates AI capabilities, allowing web search data to be used for training large language models (LLMs), generating embeddings and powering chatbots…(More)”.

5 Ways AI Supports City Adaptation to Extreme Heat

Curated on Posted on by Stefaan Verhulst

Article by Urban AI: “Cities stand at the frontline of climate change, confronting some of its most immediate and intense consequences. Among these, extreme heat has emerged as one of the most pressing and rapidly escalating threats. As we enter June 2025, Europe is already experiencing its first major and long-lasting heatwave of the summer season with temperatures surpassing 40°C in parts of Spain, France, and Portugal — and projections indicate that this extreme event could persist well into mid-June.

This climate event is not an isolated incident. By 2050, the number of cities exposed to dangerous levels of heat is expected to triple, with peak temperatures of 48°C (118°F) potentially becoming the new normal in some regions. Such intensifying conditions place unprecedented stress on urban infrastructure, public health systems, and the overall livability of cities — especially for vulnerable communities.

In this context, Artificial Intelligence (AI) is emerging as a vital tool in the urban climate adaptation toolbox. Urban AI — defined as the application of AI technologies to urban systems and decision-making — can help cities anticipate, manage, and mitigate the effects of extreme heat in more targeted and effective ways.

Cooling the Metro with AI-Driven Ventilation, in Barcelona

With over 130 stations and a century-old metro network, the city of Barcelona faces increasing pressure to ensure passenger comfort and safety — especially underground, where heat and air quality are harder to manage. In response, Transports Metropolitans de Barcelona (TMB), in partnership with SENER Engineering, developed and implemented the RESPIRA® system, an AI-powered ventilation control platform. First introduced in 2020 on Line 1, RESPIRA® demonstrated its effectiveness by lowering ambient temperatures, improving air circulation during the COVID-19 pandemic, and achieving a notable 25.1% reduction in energy consumption along with a 10.7% increase in passenger satisfaction…(More)”

Spaces for democracy with generative artificial intelligence: public architecture at stake

Curated on Posted on by Stefaan Verhulst

Paper by Ingrid Campo-Ruiz: “Urban space is an important infrastructure for democracy and fosters democratic engagement, such as meetings, discussions, and protests. Artificial Intelligence (AI) systems could affect democracy through urban space, for example, by breaching data privacy, hindering political equality and engagement, or manipulating information about places. This research explores the urban places that promote democratic engagement according to the outputs generated with ChatGPT-4o. This research moves beyond the dominant framework of discussions on AI and democracy as a form of spreading misinformation and fake news. Instead, it provides an innovative framework, combining architectural space as an infrastructure for democracy and the way in which generative AI tools provide a nuanced view of democracy that could potentially influence millions of people. This article presents a new conceptual framework for understanding AI for democracy from the perspective of architecture. For the first case study in Stockholm, Sweden, AI outputs were later combined with GIS maps and a theoretical framework. The research then analyzes the results obtained for Madrid, Spain, and Brussels, Belgium. This analysis provides deeper insights into the outputs obtained with AI, the places that facilitate democratic engagement and those that are overlooked, and the ensuing consequences.Results show that urban space for democratic engagement obtained with ChatGPT-4o for Stockholm is mainly composed of governmental institutions and non-governmental organizations for representative or deliberative democracy and the education of individuals in public buildings in the city centre. The results obtained with ChatGPT-40 barely reflect public open spaces, parks, or routes. They also prioritize organized rather than spontaneous engagement and do not reflect unstructured events like demonstrations, and powerful actors, such as political parties, or workers’ unions. The places listed by ChatGPT-4o for Madrid and Brussels give major prominence to private spaces like offices that house organizations with political activities. While cities offer a broad and complex array of places for democratic engagement, outputs obtained with AI can narrow users’ perspectives on their real opportunities, while perpetuating powerful agents by not making them sufficiently visible to be accountable for their actions. In conclusion, urban space is a fundamental infrastructure for democracy, and AI outputs could be a valid starting point for understanding the plethora of interactions. These outputs should be complemented with other forms of knowledge to produce a more comprehensive framework that adjusts to reality for developing AI in a democratic context. Urban space should be protected as a shared space and as an asset for societies to fully develop democracy in its multiple forms. Democracy and urban spaces influence each other and are subject to pressures from different actors including AI. AI systems should, therefore, be monitored to enhance democratic values through urban space…(More)”.

TAPIS: A Simple Web Tool for Analyzing Citizen-Generated Data

Curated on Posted on by Stefaan Verhulst

Tool by CityObs: “Citizen observatories and communities collect valuable environmental data — but making sense of this data can be tricky, especially if you’re not a data expert. That’s why we created TAPIS: a free, easy-to-use web tool developed within the CitiObs project to help you view, manage, and analyze data collected from sensors and online platforms.

Why We Built TAPIS

The SensorThings API is a standard for sharing sensor data, used by many observatories. However, tools that help people explore this data visually and interactively have been limited. Often, users had to dig into complicated URLs and query parameters such as “expand”, “select”, “orderby” and “filter” to extract the data they needed, as illustrated in tutorials and examples such as the ones collected by SensorUp [1].

TAPIS changes that. It gives you a visual interface to work with sensor data from different API standards (such as SensorThings API, STAplus, OGC API Features/Records, OGC Catalogue Service for the Web, S3 Services, Eclipse Data Connectors, and STAC) and data file formats (such as CSV, JSON, JSON-LD, GeoJSON, and GeoPackage). You can load the data into tables, filter or group it, and view it as maps, bar charts, pie charts, or scatter plots — all in your browser, with no installation required.

Key Features

  • Connects to online data sources (like OGC APIs, STAC, SensorThings, and CSV files)
  • Turns raw data into easy-to-read tables
  • Adds meaning to table columns
  • Visualizes data with different chart types
  • Links with MiraMon to create interactive maps

TAPIS is inspired by the look and feel of Orange Data Mining (a popular data science tool) — but runs entirely in your browser, making it accessible for all users, even those with limited technical skills…(More)”

The path for AI in poor nations does not need to be paved with billions

Curated on Posted on by Stefaan Verhulst

Editorial in Nature: “Coinciding with US President Donald Trump’s tour of Gulf states last week, Saudi Arabia announced that it is embarking on a large-scale artificial intelligence (AI) initiative. The proposed venture will have state backing and considerable involvement from US technology firms. It is the latest move in a global expansion of AI ambitions beyond the existing heartlands of the United States, China and Europe. However, as Nature India, Nature Africa and Nature Middle East report in a series of articles on AI in low- and middle-income countries (LMICs) published on 21 May (see go.nature.com/45jy3qq), the path to home-grown AI doesn’t need to be paved with billions, or even hundreds of millions, of dollars, or depend exclusively on partners in Western nations or China…, as a News Feature that appears in the series makes plain (see go.nature.com/3yrd3u2), many initiatives in LMICs aren’t focusing on scaling up, but on ‘scaling right’. They are “building models that work for local users, in their languages, and within their social and economic realities”.

More such local initiatives are needed. Some of the most popular AI applications, such as OpenAI’s ChatGPT and Google Gemini, are trained mainly on data in European languages. That would mean that the model is less effective for users who speak Hindi, Arabic, Swahili, Xhosa and countless other languages. Countries are boosting home-grown apps by funding start-up companies, establishing AI education programmes, building AI research and regulatory capacity and through public engagement.

Those LMICs that have started investing in AI began by establishing an AI strategy, including policies for AI research. However, as things stand, most of the 55 member states of the African Union and of the 22 members of the League of Arab States have not produced an AI strategy. That must change…(More)”.

Assessing data governance models for smart cities: Benchmarking data governance models on the basis of European urban requirements

Curated on Posted on by Stefaan Verhulst

Paper by Yusuf Bozkurt, Alexander Rossmann, Zeeshan Pervez, and Naeem Ramzan: “Smart cities aim to improve residents’ quality of life by implementing effective services, infrastructure, and processes through information and communication technologies. However, without robust smart city data governance, much of the urban data potential remains underexploited, resulting in inefficiencies and missed opportunities for city administrations. This study addresses these challenges by establishing specific, actionable requirements for smart city data governance models, derived from expert interviews with representatives of 27 European cities. From these interviews, recurring themes emerged, such as the need for standardized data formats, clear data access guidelines, and stronger cross-departmental collaboration mechanisms. These requirements emphasize technology independence, flexibility to adapt across different urban contexts, and promoting a data-driven culture. By benchmarking existing data governance models against these newly established urban requirements, the study uncovers significant variations in their ability to address the complex, dynamic nature of smart city data systems. This study thus enhances the theoretical understanding of data governance in smart cities and provides municipal decision-makers with actionable insights for improving data governance strategies. In doing so, it directly supports the broader goals of sustainable urban development by helping improve the efficiency and effectiveness of smart city initiatives…(More)”.

Europe’s dream to wean off US tech gets reality check

Curated on Posted on by Stefaan Verhulst

Article by Pieter Haeck and Mathieu Pollet: “..As the U.S. continues to up the ante in questioning transatlantic ties, calls are growing in Europe to reduce the continent’s reliance on U.S. technology in critical areas such as cloud services, artificial intelligence and microchips, and to opt for European alternatives instead.

But the European Commission is preparing on Thursday to acknowledge publicly what many have said in private: Europe is nowhere near being able to wean itself off U.S. Big Tech.

In a new International Digital Strategy the EU will instead promote collaboration with the U.S., according to a draft seen by POLITICO, as well as with other tech players including China, Japan, India and South Korea. “Decoupling is unrealistic and cooperation will remain significant across the technological value chain,” the draft reads. 

It’s a reality check after a year that has seen calls for a technologically sovereign Europe gain significant traction. In December the Commission appointed Finland’s Henna Virkkunen as the first-ever commissioner in charge of tech sovereignty. After few months in office, European Parliament lawmakers embarked on an effort to draft a blueprint for tech sovereignty. 

Even more consequential has been the rapid rise of the so-called Eurostack movement, which advocates building out a European tech infrastructure and has brought together effective voices including competition economist Cristina Caffarra and Kai Zenner, an assistant to key European lawmaker Axel Voss.

There’s wide agreement on the problem: U.S. cloud giants capture over two-thirds of the European market, the U.S. outpaces the EU in nurturing companies for artificial intelligence, and Europe’s stake in the global microchips market has crumbled to around 10 percent. Thursday’s strategy will acknowledge the U.S.’s “superior ability to innovate” and “Europe’s failure to capitalise on the digital revolution.”

What’s missing are viable solutions to the complex problem of unwinding deep-rooted dependencies….(More)”

Surveillance pricing: How your data determines what you pay

Curated on Posted on by Stefaan Verhulst

Article by Douglas Crawford: “Surveillance pricing, also known as personalized or algorithmic pricing, is a practice where companies use your personal data, such as your location, the device you’re using, your browsing history, and even your income, to determine what price to show you. It’s not just about supply and demand — it’s about you as a consumer and how much the system thinks you’re able (or willing) to pay.

Have you ever shopped online for a flight(new window), only to find that the price mysteriously increased the second time you checked? Or have you and a friend searched for the same hotel room on your phones, only to find your friend sees a lower price? This isn’t a glitch — it’s surveillance pricing at work.

In the United States, surveillance pricing is becoming increasingly prevalent across various industries, including airlines, hotels, and e-commerce platforms. It exists elsewhere, but in other parts of the world, such as the European Union, there is a growing recognition of the danger this pricing model presents to citizens’ privacy, resulting in stricter data protection laws aimed at curbing it. The US appears to be moving in the opposite direction…(More)”.

Project Push creates an archive of news alerts from around the world

Curated on Posted on by Stefaan Verhulst

Article by Neel Dhanesha: “A little over a year ago, Matt Taylor began to feel like he was getting a few too many push notifications from the BBC News app.

It’s a feeling many of us can probably relate to. Many people, myself included, have turned off news notifications entirely in the past few months. Taylor, however, went in the opposite direction.

Instead of turning off notifications, he decided to see how the BBC — the most popular news app in the U.K., where Taylor lives —  compared to other news organizations around the world. So he dug out an old Google Pixel phone, downloaded 61 news apps onto it, and signed up for push notifications on all of them.

As notifications roll in, a custom-built script (made with the help of ChatGPT) uploads their text to a server and a Bluesky page, providing a near real-time view of push notifications from services around the world. Taylor calls it Project Push.

People who work in news “take the front page very seriously,” said Taylor, a product manager at the Financial Times who built Project Push in his spare time. “There are lots of editors who care a lot about that, but actually one of the most important people in the newsroom is the person who decides that they’re going to press a button that sends an immediate notification to millions of people’s phones.”

The Project Push feed is a fascinating portrait of the news today. There are the expected alerts — breaking news, updates to ongoing stories like the wars in Gaza and Ukraine, the latest shenanigans in Washington — but also:

— Updates on infrastructure plans that, without the context, become absolutely baffling (a train will instead be a bus?).

— Naked attempts to increase engagement.

— Culture updates that some may argue aren’t deserving of a push alert from the Associated Press.

— Whatever this is.

Taylor tells me he’s noticed some geographic differences in how news outlets approach push notifications. Publishers based in Asia and the Middle East, for example, send far more notifications than European or American ones; CNN Indonesia alone pushed about 17,000 of the 160,000 or so notifications Project Push has logged over the past year…(More)”.

Representants and International Orders

Curated on Posted on by Stefaan Verhulst

Book by Alena Drieschova: “Different units of international politics, such as states or the church, cannot be present in their entirety during international interactions. Political rule needs to be represented for international actors to coordinate their activities. Representants (i.e. maps, GDP, buildings, and diplomatic and warfare practices) establish collective understandings about the nature of authority and its configuration. Whilst representants are not exact replica, they highlight and omit certain features from the units they stand in for. In these inclusions and exclusions lies representants’ irreducible effect. This book studies how representants define the units of the international system and position them in relation to each other, thereby generating an international order. When existing representants change, the international order changes because the units are defined differently and stand in different relations to each other. Power is therefore defined differently. Spanning centuries of European history, Alena Drieschova traces the struggles between actors over these representations…(More)”.