Introduction to Special Issue by Kenneth Benoit: “Artificial intelligence (AI) and data science are reshaping public policy by enabling more data-driven, predictive, and responsive governance, while at the same time producing profound changes in knowledge production and education in the social and policy sciences. These advancements come with ethical and epistemological challenges surrounding issues of bias, transparency, privacy, and accountability. This special issue explores the opportunities and risks of integrating AI into public policy, offering theoretical frameworks and empirical analyses to help policymakers navigate these complexities. The contributions explore how AI can enhance decision-making in areas such as healthcare, justice, and public services, while emphasising the need for fairness, human judgment, and democratic accountability. The issue provides a roadmap for harnessing AI’s potential responsibly, ensuring it serves the public good and upholds democratic values…(More)”.
Federated Data Infrastructures for Scientific Use
Policy paper by the German Council for Scientific Information Infrastructures: “…provides an overview and a comparative in-depth analysis of the emerging research (and research related) data infrastructures NFDI, EOSC, Gaia-X and the European Data Spaces. In addition, the Council makes recommendations for their future development and coordination. The RfII notes that access to genuine high-quality research data and related core services is a matter of basic public supply and strongly advises to achieve coherence between the various initiatives and approaches…(More)”.
Unlocking Green Deal Data: Innovative Approaches for Data Governance and Sharing in Europe
JRC Report: “Drawing upon the ambitious policy and legal framework outlined in the Europe Strategy for Data (2020) and the establishment of common European data spaces, this Science for Policy report explores innovative approaches for unlocking relevant data to achieve the objectives of the European Green Deal.
The report focuses on the governance and sharing of Green Deal data, analysing a variety of topics related to the implementation of new regulatory instruments, namely the Data Governance Act and the Data Act, as well as the roles of various actors in the data ecosystem. It provides an overview of the current incentives and disincentives for data sharing and explores the existing landscape of Data Intermediaries and Data Altruism Organizations. Additionally, it offers insights from a private sector perspective and outlines key data governance and sharing practices concerning Citizen-Generated Data (CGD).
The main conclusions build upon the concept of “Systemic Data Justice,” which emphasizes equity, accountability, and fair representation to foster stronger connections between the supply and demand of data for a more effective and sustainable data economy. Five policy recommendations outline a set of main implications and actionable points for the revision of the INSPIRE Directive (2007) within the context of the common European Green Deal data space, and toward a more sustainable and fair data ecosystem. However, the relevance of these recommendations spills over Green Deal data only, as they outline key elements to ensure that any data ecosystem is both just and impact-oriented…(More)”.
Commission launches public consultation on the rules for researchers to access online platform data under the Digital Services Act
Press Release: “Today, the Commission launched a public consultation on the draft delegated act on access to online platform data for vetted researchers under the Digital Services Act (DSA).
With the Digital Services Act, researchers will for the first time have access to data to study systemic risks and to assess online platforms’ risk mitigation measures in the EU. It will allow the research community to play a vital role in scrutinising and safeguarding the online environment.
The draft delegated act clarifies the procedures on how researchers can access Very Large Operating Platforms’ and Search Engines’ data. It also sets out rules on data formats and data documentation requirements. Lastly, it establishes the DSA data access portal, a one-stop-shop for researchers, data providers, and DSCs to exchange information on data access requests. The consultation follows a first call for evidence.
The consultation will run until 26 November 2024. After gathering public feedback, the Commission plans to adopt the rules in the first quarter of 2025…(More)”.
Science and technology’s contribution to the UK economy
UK House of Lords Primer: “It is difficult to accurately pinpoint the economic contribution of science and technology to the UK economy. This is because of the way sectors are divided up and reported in financial statistics.
For example, in September 2024 the Office for National Statistics (ONS) reported the following gross value added (GVA) figures by industry/sector for 2023:
- £71bn for IT and other information service activities
- £20.6bn for scientific research and development
This would amount to £91.6bn, forming approximately 3.9% of the total UK GVA of £2,368.7bn for 2023. However, a number of other sectors could also be included in these figures, for example:
- the manufacture of computer, certain machinery and electrical components (valued at £38bn in 2023)
- telecommunications (valued at £34.5bn)
If these two sectors were included too, GVA across all four sectors would total £164.1bn, approximately 6.9% of the UK’s 2023 GVA. However, this would likely still exclude relevant contributions that happen to fall within the definitions of different industries. For example, the manufacture of spacecraft and related machinery falls within the same sector as the manufacture of aircraft in the ONS’s data (this sector was valued at £10.8bn for 2023).
Alternatively, others have made estimates of the economic contribution of more specific sectors connected to science and technology. For example:
- Oxford Economics, an economic advisory firm, has estimated that, in 2023, the life sciences sector contributed over £13bn to the UK economy and employed one in every 121 employed people
- the government has estimated the value of the digital sector (comprising information technology and digital content and media) at £158.3bn for 2022
- a 2023 government report estimated the value of the UK’s artificial intelligence (AI) sector at around £3.7bn (in terms of GVA) and that the sector employed around 50,040 people
- the Energy and Climate Intelligence Unit, a non-profit organisation, reported estimates that the GVA of the UK’s net zero economy (encompassing sectors such as renewables, carbon capture, green and certain manufacturing) was £74bn in 2022/23 and that it supported approximately 765,700 full-time equivalent (FTE) jobs…(More)”.
New data laws unveiled to improve public services and boost UK economy by £10 billion
(UK) Press Release: “A new Bill which will harness the enormous power of data to boost the UK economy by £10 billion, and free up millions of police and NHS staff hours has been introduced to Parliament today (Wednesday 23rd October).
The Data Use and Access Bill will unlock the secure and effective use of data for the public interest, without adding pressures to the country’s finances. The measures will be central to delivering three of the five Missions to rebuild Britain, set out by the Prime Minister:
- kickstarting economic growth
- taking back our streets
- and building an NHS fit for the future
Some of its key measures include cutting down on bureaucracy for our police officers, so that they can focus on tackling crime rather than being bogged down by admin, freeing up 1.5 million hours of their time a year. It will also make patients’ data easily transferable across the NHS so that frontline staff can make better informed decisions for patients more quickly, freeing up 140,000 hours of NHS staff time every year, speeding up care and improving patients’ health outcomes.
The better use of data under measures in the Bill will also simplify important tasks such as renting a flat and starting work with trusted ways to verify your identity online, or enabling electronic registration of births and deaths, so that people and businesses can get on with their lives without unnecessary admin.
Vital safeguards will remain in place to track and monitor how personal data is used, giving peace of mind to patients and victims of crime. IT systems in the NHS operate to the highest standards of security and all organisations have governance arrangements in place to ensure the safe, legal storage and use of data…(More)”
Contractual Freedom and Fairness in EU Data Sharing Agreements
Paper by Thomas Margoni and Alain M. Strowel: “This chapter analyzes the evolving landscape of EU data-sharing agreements, particularly focusing on the balance between contractual freedom and fairness in the context of non-personal data. The discussion highlights the complexities introduced by recent EU legislation, such as the Data Act, Data Governance Act, and Open Data Directive, which collectively aim to regulate data markets and enhance data sharing. The chapter emphasizes how these laws impose obligations that limit contractual freedom to ensure fairness, particularly in business-to-business (B2B) and Internet of Things (IoT) data transactions. It also explores the tension between private ordering and public governance, suggesting that the EU’s approach marks a shift from property-based models to governance-based models in data regulation. This chapter underscores the significant impact these regulations will have on data contracts and the broader EU data economy…(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)”.
A shared destiny for public sector data
Blog post by Shona Nicol: “As a data professional, it can sometime feel hard to get others interested in data. Perhaps like many in this profession, I can often express the importance and value of data for good in an overly technical way. However when our biggest challenges in Scotland include eradicating child poverty, growing the economy and tackling the climate emergency, I would argue that we should all take an interest in data because it’s going to be foundational in helping us solve these problems.
Data is already intrinsic to shaping our society and how services are delivered. And public sector data is a vital component in making sure that services for the people of Scotland are being delivered efficiently and effectively. Despite an ever growing awareness of the transformative power of data to improve the design and delivery of services, feedback from public sector staff shows that they can face difficulties when trying to influence colleagues and senior leaders around the need to invest in data.
A vision gap
In the Scottish Government’s data maturity programme and more widely, we regularly hear about the challenges data professionals encounter when trying to enact change. This community tell us that a long-term vision for public sector data for Scotland could help them by providing the context for what they are trying to achieve locally.
Earlier this year we started to scope how we might do this. We recognised that organisations are already working to deliver local and national strategies and policies that relate to data, so any vision had to be able to sit alongside those, be meaningful in different settings, agnostic of technology and relevant to any public sector organisation. We wanted to offer opportunities for alignment, not enforce an instruction manual…(More)”.
Emerging technologies in the humanitarian sector
Report and project by Rand: “Emerging technologies have often been explored in the humanitarian sector through small scale pilot projects, testing their application in a specific context with limited opportunities to replicate the testing across various contexts. The level of familiarity and knowledge of technological development varies across the specific types of humanitarian activities undertaken and technology areas considered.
The study team identified five promising technology areas for the humanitarian sector that could be further explored out to 2030:
- Advanced manufacturing systems are likely to offer humanitarians opportunities to produce resources and tools in an operating environment characterised by scarcity, the rise of simultaneous crises, and exposure to more intense and severe climate events.
- Early Warning Systems are likely to support preparedness and response efforts across the humanitarian sector while multifactorial crises are likely to arise.
- Camp monitoring systems are likely to support efforts not only to address security risks, but also support planning and management activities of sites or the health and wellbeing of displaced populations.
- Coordination platforms are likely to enhance data collection and information-sharing across various humanitarian stakeholders for the development of timely and bespoke crisis response.
- Privacy-enhancing technologies (PETs) can support ongoing efforts to comply with increased data privacy and data protection requirements in a humanitarian operating environment in which data collection will remain necessary.
Beyond these five technology areas, the study team also considered three innovation journey opportunities:
- The establishment of a technology horizon scanning coalition
- Visioning for emerging technologies in crisis recovery
- An emerging technology narrative initiative.
To accompany the deployment of specific technologies in the humanitarian sector, the study team also developed a four-step approach aimed to identify specific guidance needs for end-users and humanitarian practitioners…(More)”.