The Preventative Shift: How can we embed prevention and achieve long term missions

Curated on Posted on by Stefaan Verhulst

Paper by Demos (UK): “Over the past two years Demos has been making the case for a fundamental shift in the purpose of government away from firefighting in public services towards preventing problems arriving. First, we set out the case for The Preventative State, to rebuild local, social and civic foundations; then, jointly with The Health Foundation, we made the case to change treasury rules to ringfence funding for prevention. By differentiating between everyday spending, and preventative spending, the government could measure what really matters.

There has been widespread support for this – but also concerns about both the feasibility of measuring preventative spending accurately and appropriately but also that ring-fencing alone may not lead to the desired improvements in outcomes and value for money.

In response we have developed two practical approaches, covered in two papers:

  • Our first paper, Counting What Matters, explores the challenge of measurement and makes a series of recommendations, including the passage of a “Public Investment Act”, to show how this could be appropriately achieved.
  • This second paper, The Preventative Shift, looks at how to shift the culture of public bodies to think ‘prevention first’ and target spending at activities which promise value for money and improve outcomes…(More)”.

How Innovation Ecosystems Foster Citizen Participation Using Emerging Technologies in Portugal, Spain and the Netherlands

Curated on Posted on by Stefaan Verhulst

OECD Report: “This report examines how actors in Portugal, Spain and the Netherlands interact and work together to contribute to the development of emerging technologies for citizen participation. Through in-depth research and analysis of actors’ motivations, experiences, challenges, and enablers in this nascent but promising field, this paper presents a unique cross-national perspective on innovation ecosystems for citizen participation using emerging technology. It includes lessons and concrete proposals for policymakers, innovators, and researchers seeking to develop technology-based citizen participation initiatives…(More)”.

Tab the lab: A typology of public sector innovation labs

Curated on Posted on by Stefaan Verhulst

Paper by Aline Stoll and Kevin C Andermatt: “Many public sector organizations set up innovation laboratories in response to the pressure to tackle societal problems and the high expectations placed on them to innovate public services. Our understanding of the public sector innovation laboratories’ role in enhancing the innovation capacity of administrations is still limited. It is challenging to assess or compare the impact of innovation laboratories because of how they operate and what they do. This paper closes this research gap by offering a typology that organizes the diverse nature of innovation labs and makes it possible to compare various lab settings. The proposed typology gives possible relevant factors to increase the innovation capacity of public organizations. The findings are based on a literature review of primarily explorative papers and case studies, which made it possible to identify the relevant criteria. The proposed typology covers three dimensions: (1) value (intended innovation impact of the labs); (2) governance (role of government and financing model); and (3) network (stakeholders in the collaborative arrangements). Comparing European countries and regions with regards to the repartition of labs shows that Nordic and British countries tend to have broader scope than continental European countries…(More)”.

The Cambridge Handbook of the Law, Ethics and Policy of Artificial Intelligence

Curated on Posted on by Stefaan Verhulst

Handbook edited by Nathalie A. Smuha: “…provides a comprehensive overview of the legal, ethical, and policy implications of AI and algorithmic systems. As these technologies continue to impact various aspects of our lives, it is crucial to understand and assess the challenges and opportunities they present. Drawing on contributions from experts in various disciplines, the book covers theoretical insights and practical examples of how AI systems are used in society today. It also explores the legal and policy instruments governing AI, with a focus on Europe. The interdisciplinary approach of this book makes it an invaluable resource for anyone seeking to gain a deeper understanding of AI’s impact on society and how it should be regulated…(More)”.

Public participation in policymaking: exploring and understanding impact

Curated on Posted on by Stefaan Verhulst

Report by the Scottish Government: “This research builds on that framework and seeks to explore how Scottish Government might better understand the impact of public participation on policy decision-making. As detailed above, there is a plethora of potential, and anticipated, benefits which may arise from increased citizen participation in policy decision-making, as well as lots of participatory activity already taking place across the organisation. Now is an opportune time to consider impact, to support the design and delivery of participatory engagements that are impactful and that are more likely to realise the benefits of public participation. Through a review of academic and grey literature along with stakeholder engagement, this study aims to answer the following questions:

  • 1. How is impact conceptualised in literature related to public participation, and what are some practice examples?
  • 2. How is impact conceptualised by stakeholders and what do they perceive as the current blockers, challenges or facilitators in a Scottish Government setting?
  • 3. What evaluation tools or frameworks are used to evaluate the impact of public participation processes, and which ones might be applicable /usable in a Scottish Government setting?…(More)”.

Net zero: the role of consumer behaviour

Curated on Posted on by Stefaan Verhulst

Horizon Scan by the UK Parliament: “According to research from the Centre for Climate Change and Social Transformation, reaching net zero by 2050 will require individual behaviour change, particularly when it comes to aviation, diet and energy use.

The government’s 2023 Powering Up Britain: Net Zero Growth Plan referred to low carbon choices as ‘green choices’, and described them as public and businesses choosing green products, services, and goods. The plan sets out six principles regarding policies to facilitate green choices. Both the Climate Change Committee and the House of Lords Environment and Climate Change Committee have recommended that government strategies should incorporate greater societal and behavioural change policies and guidance.

Contributors to the horizon scan identified managing consumer behaviour and habits to help achieve net zero as a topic of importance for parliament over the next five years. Change in consumer behaviour could result in approximately 60% of required emission reductions to reach net zero.[5] Behaviour change will be needed from the wealthiest in society, who according to Oxfam typically lead higher-carbon lifestyles.

Incorporating behavioural science principles into policy levers is a well-established method of encouraging desired behaviours. Common examples of policies aiming to influence behaviour include subsidies, regulation and information campaigns (see below).

However, others suggest deliberative public engagement approaches, such as the UK Climate Change Assembly,[7] may be needed to determine which pro-environmental policies are acceptable.[8] Repeated public engagement is seen as key to achieve a just transition as different groups will need different support to enable their green choices (PN 706).

Researchers debate the extent to which individuals should be responsible for making green choices as opposed to the regulatory and physical environment facilitating them, or whether markets, businesses and governments should be the main actors responsible for driving action. They highlight the need for different actions based on the context and the different ways individuals act as consumers, citizens, and within organisations and groups. Health, time, comfort and status can strongly influence individual decisions while finance and regulation are typically stronger motivations for organisations (PN 714)…(More)”

Empowering open data sharing for social good: a privacy-aware approach

Curated on Posted on by Stefaan Verhulst

Paper by Tânia Carvalho et al: “The Covid-19 pandemic has affected the world at multiple levels. Data sharing was pivotal for advancing research to understand the underlying causes and implement effective containment strategies. In response, many countries have facilitated access to daily cases to support research initiatives, fostering collaboration between organisations and making such data available to the public through open data platforms. Despite the several advantages of data sharing, one of the major concerns before releasing health data is its impact on individuals’ privacy. Such a sharing process should adhere to state-of-the-art methods in Data Protection by Design and by Default. In this paper, we use a Covid-19 data set from Portugal’s second-largest hospital to show how it is feasible to ensure data privacy while improving the quality and maintaining the utility of the data. Our goal is to demonstrate how knowledge exchange in multidisciplinary teams of healthcare practitioners, data privacy, and data science experts is crucial to co-developing strategies that ensure high utility in de-identified data…(More).”

Call to make tech firms report data centre energy use as AI booms

Curated on Posted on by Stefaan Verhulst

Article by Sandra Laville: “Tech companies should be required by law to report the energy and water consumption for their data centres, as the boom in AI risks causing irreparable damage to the environment, experts have said.

AI is growing at a rate unparalleled by other energy systems, bringing heightened environmental risk, a report by the National Engineering Policy Centre (NEPC) said.

The report calls for the UK government to make tech companies submit mandatory reports on their energy and water consumption and carbon emissions in order to set conditions in which data centres are designed to use fewer vital resources…(More)”.

The new politics of AI

Curated on Posted on by Stefaan Verhulst

Report by the IPPR: AI is fundamentally different from other technologies – it is set to unleash a vast number of highly sophisticated ‘artificial agents’ into the economy. AI systems that can take actions and make decisions are not just tools – they are actors. This can be a good thing. But it requires a novel type of policymaking and politics. Merely accelerating AI deployment and hoping it will deliver public value will likely be insufficient.

In this briefing, we outline how the summit constitutes the first event of a new era of AI policymaking that links AI policy to delivering public value. We argue that AI needs to be directed towards societies’ goals, via ‘mission-based policies’….(More)”.

Unlocking AI’s potential for the public sector

Curated on Posted on by Stefaan Verhulst

Article by Ruth Kelly: “…Government needs to work on its digital foundations. The extent of legacy IT systems across government is huge. Many were designed and built for a previous business era, and still rely on paper-based processes. Historic neglect and a lack of asset maintenance has added to the difficulty. Because many systems are not compatible, sharing data across systems requires manual extraction which is risky and costly. All this adds to problems with data quality. Government suffers from data which is incomplete, inconsistent, inaccessible, difficult to process and not easily shareable. A lack of common data models, both between and within government departments, makes it difficult and costly to combine different sources of data, and significant manual effort is required to make data usable. Some departments have told us that they spend 60% to 80% of their time on cleaning data when carrying out analysis.

Why is this an issue for AI? Large volumes of good-quality data are important for training, testing and deploying AI models. Poor data leads to poor outcomes, especially where it involves personal data. Access to good-quality data was identified as a barrier to implementing AI by 62% of the 87 government bodies responding to our survey. Simple productivity improvements that provide integration with routine administration (for example summarising documents) is already possible, but integration with big, established legacy IT is a whole other long-term endeavour. Layering new technology on top of existing systems, and reusing poor-quality and aging data, carries the risk of magnifying problems and further embedding reliance on legacy systems…(More)”