Data Act: Commission welcomes political agreement on rules for a fair and innovative data economy


Press Release: “The Commission welcomes the political agreement reached today between the European Parliament and the Council of the EU, on the European Data Act, proposed by the Commission in February 2022.

Today, the Internet of Things (IoT) revolution fuels exponential growth with projected data volume set to skyrocket in the coming years. A significant amount of industrial data remains unused and brimming with unrealised possibilities.

The Data Act aims to boost the EU’s data economy by unlocking industrial data, optimising its accessibility and use, and fostering a competitive and reliable European cloud market. It seeks to ensure that the benefits of the digital revolution are shared by everyone.

Concretely, the Data Act includes:

  • Measures that enable users of connected devices to access the data generated by these devices and by services related to these devices. Users will be able to share such data with third parties, boosting aftermarket services and innovation. Simultaneously, manufacturers remain incentivised to invest in high-quality data generation while their trade secrets remain protected…
  • Mechanisms for public sector bodies to access and use data held by the private sector in cases of public emergencies such as floods and wildfires, or when implementing a legal mandate where the required data is not readily available through other means.
  • New rules that grant customers the freedom to switch between various cloud data-processing service providers. These rules aim to promote competition and choice in the market while preventing vendor lock-in. Additionally, the Data Act includes safeguards against unlawful data transfers, ensuring a more reliable and secure data-processing environment.
  • Measures to promote the development of interoperability standards for data-sharing and data processing, in line with the EU Standardisation Strategy…(More)”.

Barred From Grocery Stores by Facial Recognition


Article by Adam Satariano and Kashmir Hill: “Simon Mackenzie, a security officer at the discount retailer QD Stores outside London, was short of breath. He had just chased after three shoplifters who had taken off with several packages of laundry soap. Before the police arrived, he sat at a back-room desk to do something important: Capture the culprits’ faces.

On an aging desktop computer, he pulled up security camera footage, pausing to zoom in and save a photo of each thief. He then logged in to a facial recognition program, Facewatch, which his store uses to identify shoplifters. The next time those people enter any shop within a few miles that uses Facewatch, store staff will receive an alert.

“It’s like having somebody with you saying, ‘That person you bagged last week just came back in,’” Mr. Mackenzie said.

Use of facial recognition technology by the police has been heavily scrutinized in recent years, but its application by private businesses has received less attention. Now, as the technology improves and its cost falls, the systems are reaching further into people’s lives. No longer just the purview of government agencies, facial recognition is increasingly being deployed to identify shoplifters, problematic customers and legal adversaries.

Facewatch, a British company, is used by retailers across the country frustrated by petty crime. For as little as 250 pounds a month, or roughly $320, Facewatch offers access to a customized watchlist that stores near one another share. When Facewatch spots a flagged face, an alert is sent to a smartphone at the shop, where employees decide whether to keep a close eye on the person or ask the person to leave…(More)”.

Privacy-enhancing technologies (PETs)


Report by the Information Commissioner’s Office (UK): “This guidance discusses privacy-enhancing technologies (PETs) in detail. Read it if you have questions not answered in the Guide, or if you need a deeper understanding to help you apply PETs in practice.

The first part of the guidance is aimed at DPOs (data protection officers) and those with specific data protection responsibilities in larger organisations. It focuses on how PETs can help you achieve compliance with data protection law.

The second part is intended for a more technical audience, and for DPOs who want to understand more detail about the types of PETs that are currently available. It gives a brief introduction to eight types of PETs and explains their risks and benefits…(More)”.

Local Data Spaces: Leveraging trusted research environments for secure location-based policy research


Paper by Jacob L. Macdonald, Mark A. Green, Maurizio Gibin, Simon Leech, Alex Singleton and Paul Longely: “This work explores the use of Trusted Research Environments for the secure analysis of sensitive, record-level data on local coronavirus disease-2019 (COVID-19) inequalities and economic vulnerabilities. The Local Data Spaces (LDS) project was a targeted rapid response and cross-disciplinary collaborative initiative using the Office for National Statistics’ Secure Research Service for localized comparison and analysis of health and economic outcomes over the course of the COVID-19 pandemic. Embedded researchers worked on co-producing a range of locally focused insights and reports built on secure secondary data and made appropriately open and available to the public and all local stakeholders for wider use. With secure infrastructure and overall data governance practices in place, accredited researchers were able to access a wealth of detailed data and resources to facilitate more targeted local policy analysis. Working with data within such infrastructure as part of a larger research project involved advanced planning and coordination to be efficient. As new and novel granular data resources become securely available (e.g., record-level administrative digital health records or consumer data), a range of local policy insights can be gained across issues of public health or local economic vitality. Many of these new forms of data however often come with a large degree of sensitivity around issues of personal identifiability and how the data is used for public-facing research and require secure and responsible use. Learning to work appropriately with secure data and research environments can open up many avenues for collaboration and analysis…(More)”

Detecting Human Rights Violations on Social Media during Russia-Ukraine War


Paper by Poli Nemkova, et al: “The present-day Russia-Ukraine military conflict has exposed the pivotal role of social media in enabling the transparent and unbridled sharing of information directly from the frontlines. In conflict zones where freedom of expression is constrained and information warfare is pervasive, social media has emerged as an indispensable lifeline. Anonymous social media platforms, as publicly available sources for disseminating war-related information, have the potential to serve as effective instruments for monitoring and documenting Human Rights Violations (HRV). Our research focuses on the analysis of data from Telegram, the leading social media platform for reading independent news in post-Soviet regions. We gathered a dataset of posts sampled from 95 public Telegram channels that cover politics and war news, which we have utilized to identify potential occurrences of HRV. Employing a mBERT-based text classifier, we have conducted an analysis to detect any mentions of HRV in the Telegram data. Our final approach yielded an F2 score of 0.71 for HRV detection, representing an improvement of 0.38 over the multilingual BERT base model. We release two datasets that contains Telegram posts: (1) large corpus with over 2.3 millions posts and (2) annotated at the sentence-level dataset to indicate HRVs. The Telegram posts are in the context of the Russia-Ukraine war. We posit that our findings hold significant implications for NGOs, governments, and researchers by providing a means to detect and document possible human rights violations…(More)” See also Data for Peace and Humanitarian Response? The Case of the Ukraine-Russia War

The messy politics of local climate assemblies


Paper by Pancho Lewis,  Jacob Ainscough,  Rachel Coxcoon &  Rebecca Willis: “In recent years, many local authorities in the UK have run local climate assemblies (LCAs) such as citizens’ assemblies or juries, with the goal of developing citizen-led solutions to the climate crisis. In this essay, we argue that a ‘convenient fiction’ often underpins the way local authority actors explain the rationale for running LCAs. This convenient fiction runs as follows: LCAs are commissioned as a response to the climate threat, and local decision-makers work through LCA recommendations to implement appropriate policies in their locality. We suggest that this narrative smooths over and presents as linear a process that is in fact messy and political. LCAs emerge as a result of political pressure and bargaining. Once LCAs have run their course, the extent to which their recommendations are implemented is dependent on power dynamics and institutional capacities. We argue that it is important to surface the messiness and political tensions that underpin the origins and aftermath of local climate assemblies. This achieves three things. First, it helps manage expectations about the impact LCAs are likely to have on the policy process. Second, it broadens understandings of how LCAs can contribute to change. Third, it provides a complex model that actors can use to understand how they can help deliver climate action through politics. We conclude that LCAs are important — if as yet unproven — new interventions in local climate politics, when assessed against this more complex picture…(More)”

City data ecosystems between theory and practice: A qualitative exploratory study in seven European cities


Paper by Giovanni Liva, Marina Micheli, Sven Schade, Alexander Kotsev, Matteo Gori and Cristiano Codagnone: “The exponential growth of data collection opens possibilities for analyzing data to address political and societal challenges. Still, European cities are not utilizing the potential of data generated by its citizens, industries, academia, and public authorities for their public service mission. The reasons are complex and relate to an intertwined set of organizational, technological, and legal barriers, although good practices exist that could be scaled, sustained, and further developed. The article contributes to research on data-driven innovation in the public sector comparing high-level expectations on data ecosystems with actual practices of data sharing and innovation at the local and regional level. Our approach consists in triangulating the analysis of in-depth interviews with representatives of the local administrations with documents obtained from the cities. The interviews investigated the experiences and perspectives of local administrations regarding establishing a local or regional data ecosystem. The article examines experiences and obstacles to data sharing within seven administrations investigating what currently prevents the establishment of data ecosystems. The findings are summarized along three main lines. First, the limited involvement of private sector organizations as actors in local data ecosystems through emerging forms of data sharing. Second, the concern over technological aspects and the lack of attention on social or organizational issues. Third, a conceptual decision to apply a centralized and not a federated digital infrastructure…(More)”.

Citizens’ Assemblies Could Be Democracy’s Best Hope


Article by Hugh Pope: “…According to the OECD, nearly 600 citizens’ assemblies had taken place globally by 2021, almost all in the preceding decade. The number has expanded exponentially since then. In addition to high-profile assemblies that take on major issues, like the one in Paris, they include small citizens’ juries making local planning decisions, experiments that mix elected politicians with citizens chosen by lot, and permanent chambers in city or community governance whose members are randomly selected, usually on an annual basis from the relevant population.

Sortition, also known as democracy by lot, has been used to randomly select citizens’ assemblies in the Philippines, Malawi and Mexico. Citizens’ assemblies were used in the U.S. in 2021 to debate the climate crisis in Washington state and to determine the fate of a fairground in Petaluma, California. Indeed, whereas few people had heard of a citizens’ assembly a few years ago, a late 2020 Pew Research poll found that in the U.S., Germany, France and Britain, three-quarters or more of respondents thought it either somewhat or very important for their countries to convene them.

Though a global phenomenon, the trend is finding the most traction in Europe. Citizens’ assemblies in Germany are “booming,” with over 60 in the past year alone, according to a German radio documentary. A headline in Britain’s Guardian newspaper wondered if they are “the Future of Democracy.” The Dutch newspaper Trouw suggested they may be “the way we can win back trust in politics.” And in France, an editorial in Le Monde called for a greater embrace of “this new way of exercising power and drawing on collective intelligence.”…(More)”.

Towards High-Value Datasets determination for data-driven development: a systematic literature review


Paper by Anastasija Nikiforova, Nina Rizun, Magdalena Ciesielska, Charalampos Alexopoulos, and Andrea Miletič: “The OGD is seen as a political and socio-economic phenomenon that promises to promote civic engagement and stimulate public sector innovations in various areas of public life. To bring the expected benefits, data must be reused and transformed into value-added products or services. This, in turn, sets another precondition for data that are expected to not only be available and comply with open data principles, but also be of value, i.e., of interest for reuse by the end-user. This refers to the notion of ‘high-value dataset’ (HVD), recognized by the European Data Portal as a key trend in the OGD area in 2022. While there is a progress in this direction, e.g., the Open Data Directive, incl. identifying 6 key categories, a list of HVDs and arrangements for their publication and re-use, they can be seen as ‘core’ / ‘base’ datasets aimed at increasing interoperability of public sector data with a high priority, contributing to the development of a more mature OGD initiative. Depending on the specifics of a region and country – geographical location, social, environmental, economic issues, cultural characteristics, (under)developed sectors and market specificities, more datasets can be recognized as of high value for a particular country. However, there is no standardized approach to assist chief data officers in this. In this paper, we present a systematic review of existing literature on the HVD determination, which is expected to form an initial knowledge base for this process, incl. used approaches and indicators to determine them, data, stakeholders…(More)”.

The 2023 State of UserCentriCities


Report by UserCentricities: “Did you know that Rotterdam employs 25 service designers and a user-interface lab? That the property tax payment in Bratislava is reviewed and improved every year? That Ghent automatically offers school benefits to families in need, using data held by different levels of administration? That Madrid processed 70% of registrations in digital form in 2022, up from 23% in 2019? That Kyiv, despite the challenges of war, has continuously updated its city app adding new services daily for citizens in need, such as a map of bomb shelters and heating points? Based on data gathered from the UserCentriCities Dashboard, UserCentriCities launches The 2023 State of UserCentriCities: How Cities and Regions are Delivering Effective Services by Putting Citizens’ Needs at the Centre, an analysis of the performance of European cities and regions against 41 indicators inspired by The 2017 Tallinn Declaration on eGovernment.…(More)”.