Informality in Policymaking


Book edited by Lindsey Garner-Knapp, Joanna Mason, Tamara Mulherin and E. Lianne Visser: “Public policy actors spend considerable time writing policy, advising politicians, eliciting stakeholder views on policy concerns, and implementing initiatives. Yet, they also ‘hang out’ chatting at coffee machines, discuss developments in the hallway walking from one meeting to another, or wander outside to carparks for a quick word and to avoid prying eyes. Rather than interrogating the rules and procedures which govern how policies are made, this volume asks readers to begin with the informal as a concept and extend this to what people do, how they relate to each other, and how this matters.

Emerging from a desire to enquire into the lived experience of policy professionals, and to conceptualise afresh the informal in the making of public policy, Informality in Policymaking explores how informality manifests in different contexts, spaces, places, and policy arenas, and the implications of this. Including nine empirical chapters, this volume presents studies from around the world and across policy domains spanning the rural and urban, and the local to the supranational. The chapters employ interdisciplinary approaches and integrate creative elements, such as drawings of hand gestures and fieldwork photographs, in conjunction with ethnographic ‘thick descriptions’.

In unveiling the realities of how policy is made, this deeply meaningful and thoughtfully constructed collection argues that the formal is only part of the story of policymaking, and thus only part of the solutions it seeks to create. Informality in Policymaking will be of interest to researchers and policymakers alike…(More)”.

AI adoption in the public sector


Two studies from the Joint Research Centre: “…delve into the factors that influence the adoption of Artificial Intelligence (AI) in public sector organisations.

first report analyses a survey conducted among 574 public managers across seven EU countries, identifying what are currently the main drivers of AI adoption and providing 3 key recommendations to practitioners. 

Strong expertise and various organisational factors emerge as key contributors for AI adoptions, and a second study sheds light on the essential competences and governance practices required for the effective adoption and usage of AI in the public sector across Europe…

The study finds that AI adoption is no longer a promise for public administration, but a reality, particularly in service delivery and internal operations and to a lesser extent in policy decision-making. It also highlights the importance of organisational factors such as leadership support, innovative culture, clear AI strategy, and in-house expertise in fostering AI adoption. Anticipated citizen needs are also identified as a key external factor driving AI adoption. 

Based on these findings, the report offers three policy recommendations. First, it suggests paying attention to AI and digitalisation in leadership programmes, organisational development and strategy building. Second, it recommends broadening in-house expertise on AI, which should include not only technical expertise, but also expertise on ethics, governance, and law. Third, the report advises monitoring (for instance through focus groups and surveys) and exchanging on citizen needs and levels of readiness for digital improvements in government service delivery…(More)”.

Access to data for research: lessons for the National Data Library from the front lines of AI innovation.


Report by the Minderoo Centre for Technology and Democracy and the Bennett Institute for Public Policy: “…a series of case studies on access to data for research. These case studies illustrate the barriers that researchers are grappling with, and suggest how a new wave of policy development could help address these.

Each show innovative uses of data for research in areas that are critically important to science and society, including:

The projects highlight crucial design considerations for the UK’s National Data Library and the need for a digital infrastructure that connects data, researchers, and resources that enable data use. By centring the experiences of researchers on the front-line of AI innovation, this report hopes to bring some of those barriers into focus and inform continued conversations in this area…(More)”.

Launching the Data-Powered Positive Deviance Course


Blog by Robin Nowok: “Data-Powered Positive Deviance (DPPD) is a new method that combines the principles of Positive Deviance with the power of digital data and advanced analytics. Positive Deviance is based on the observation that in every community or organization, some individuals achieve significantly better outcomes than their peers, despite having similar challenges and resources. These individuals or groups are referred to as positive deviants.

The DPPD method follows the same logic as the Positive Deviance approach but leverages existing, non-traditional data sources, either instead of or in conjunction with traditional data sources. This allows for the identification of positive deviants on larger geographic and temporal scales. Once identified, we can then uncover the behaviors that lead to their success, enabling others to adopt these practices.

In a world where top-down solutions often fall short, DPPD offers a fresh perspective. It focuses on finding what’s already working within communities, rather than imposing external solutions. This can lead to more sustainable, culturally appropriate, and effective interventions.

Our online course is designed to get you started on your DPPD journey. Through five modules, you’ll gain both theoretical knowledge and practical skills to apply DPPD in your own work…(More)”.

Access, Signal, Action: Data Stewardship Lessons from Valencia’s Floods


Article by Marta Poblet, Stefaan Verhulst, and Anna Colom: “Valencia has a rich history in water management, a legacy shaped by both triumphs and tragedies. This connection to water is embedded in the city’s identity, yet modern floods test its resilience in new ways.

During the recent floods, Valencians experienced a troubling paradox. In today’s connected world, digital information flows through traditional and social media, weather apps, and government alert systems designed to warn us of danger and guide rapid responses. Despite this abundance of data, a tragedy unfolded last month in Valencia. This raises a crucial question: how can we ensure access to the right data, filter it for critical signals, and transform those signals into timely, effective action?

Data stewardship becomes essential in this process.

In particular, the devastating floods in Valencia underscore the importance of:

  • having access to data to strengthen the signal (first mile challenges)
  • separating signal from noise
  • translating signal into action (last mile challenges)…(More)”.

The Motivational State: A strengths-based approach to improving public sector productivity


Paper by Alex Fox and Chris Fox: “…argues that traditional approaches to improving public sector productivity, such as adopting private sector practices, technology-driven reforms, and tighter management, have failed to address the complex and evolving needs of public service users. It proposes a shift towards a strengths-based, person-led model, where public services are co-produced with individuals, families, and communities…(More)”.

More-than-human governance experiments in Europe


Paper by Claudia Chwalisz & Lucy Reid: “There is a growing network of people and places exploring and practising how governance and policy design can draw on more-than-human intelligences.

‘More-than-human’ was initially coined by David Abram in his 1997 book The Spell of the Sensuous. The term refers to the animate earth and the impossibility of separating our human- ness from our relationship with it. Our exploration related to governance has been around how we might meaningfully consider our relationship with the living world when taking decisions.

We have undertaken a short exploratory research project to learn who is conducting new governance experiments in Europe to begin to map the field, learn from best practices, and share these findings…

There were three main types of approaches to applying the idea of more-than-human governance in practice, sometimes with an overlap:

  • Rights-based;
  • Representation-focused, and 
  • Artistic.

We identified four key groups we felt were missing from our initial research and discussions:

  • Indigenous voices;
  • More non-specialists and artists;
  • A few critical voices, and
  • People using technology in novel ways that reshape our relationship with the living world…(More)”

Addressing Data Challenges to Drive the Transformation of Smart Cities


Paper by Ekaterina Gilman et al: “Cities serve as vital hubs of economic activity and knowledge generation and dissemination. As such, cities bear a significant responsibility to uphold environmental protection measures while promoting the welfare and living comfort of their residents. There are diverse views on the development of smart cities, from integrating Information and Communication Technologies into urban environments for better operational decisions to supporting sustainability, wealth, and comfort of people. However, for all these cases, data are the key ingredient and enabler for the vision and realization of smart cities. This article explores the challenges associated with smart city data. We start with gaining an understanding of the concept of a smart city, how to measure that the city is a smart one, and what architectures and platforms exist to develop one. Afterwards, we research the challenges associated with the data of the cities, including availability, heterogeneity, management, analysis, privacy, and security. Finally, we discuss ethical issues. This article aims to serve as a “one-stop shop” covering data-related issues of smart cities with references for diving deeper into particular topics of interest…(More)”.

Privacy during pandemics: Attitudes to public use of personal data


Paper by Eleonora Freddi and Ole Christian Wasenden: “In this paper we investigate people’s attitudes to privacy and sharing of personal data when used to help society combat a contagious disease, such as COVID-19. Through a two-wave survey, we investigate the role of personal characteristics, and the effect of information, in shaping privacy attitudes. By conducting the survey in Norway and Sweden, which adopted very different strategies to handle the COVID-19 pandemic, we analyze potential differences in privacy attitudes due to policy changes. We find that privacy concern is negatively correlated with allowing public use of personal data. Trust in the entity collecting data and collectivist preferences are positively correlated with this type of data usage. Providing more information about the public benefit of sharing personal data makes respondents more positive to the use of their data, while providing additional information about the costs associated with data sharing does not change attitudes. The analysis suggests that stating a clear purpose and benefit for the data collection makes respondents more positive about sharing. Despite very different policy approaches, we do not find any major differences in privacy attitudes between Norway and Sweden. Findings are also similar between the two survey waves, suggesting a minor role for contextual changes…(More)”

Uniting the UK’s Health Data: A Huge Opportunity for Society’


The Sudlow Review (UK): “…Surveys show that people in the UK overwhelmingly support the use of their health data with appropriate safeguards to improve lives. One of the review’s recommendations calls for continued engagement with patients, the public, and healthcare professionals to drive forward developments in health data research.

The review also features several examples of harnessing health data for public benefit in the UK, such as the national response to the COVID-19 pandemic. But successes like these are few and far between due to complex systems and governance. The review reveals that:

  • Access to datasets is difficult or slow, often taking months or even years.
  • Data is accessible for analysis and research related to COVID-19, but not to tackle other health conditions, such as other infectious diseases, cancer, heart disease, stroke, diabetes and dementia.
  • More complex types of health data generally don’t have national data systems (for example, most lab testing data and radiology imaging).
  • Barriers like these can delay or prevent hundreds of studies, holding back progress that could improve lives…

The Sudlow Review’s recommendations provide a pathway to establishing a secure and trusted health data system for the UK:

  1. Major national public bodies with responsibility for or interest in health data should agree a coordinated joint strategy to recognise England’s health data for what they are: a critical national infrastructure.
  2. Key government health, care and research bodies should establish a national health data service in England with accountable senior leadership.
  3. The Department of Health and Social Care should oversee and commission ongoing, coordinated, engagement with patients, public, health professionals, policymakers and politicians.
  4. The health and social care departments in the four UK nations should set a UK-wide approach to streamline data access processes and foster proportionate, trustworthy data governance.
  5. National health data organisations and statistical authorities in the four UK nations should develop a UK-wide system for standards and accreditation of secure data environments (SDEs) holding data from the health and care system…(More)”.