The ‘hidden data’ that could boost the UK’s productivity and job market


Report from Learning and Work Institute and Nesta (UK): “… highlights the complexities of labour market data used to support adults in their career planning…

The deficiencies in the UK’s labour market data are illustrated by the experiences of the winners of the CareerTech Challenge Prize, the team developing Bob UK, a tool designed to provide instant, online careers advice and job recommendations based on information about local vacancies and the jobseeker’s skills. The developers attempted to source UK data that directly replicated data sources used to develop the version of Bob which has helped over 250,000 jobseekers in France. However, it became apparent that equivalent sources of data rarely existed. The Bob UK team was able to work around this issue by carefully combining alternative sources of data from a number of UK and non-UK sources.

Many other innovators experienced similar barriers, finding that the publicly available data that could help people to make more informed decisions about their careers is often incomplete, difficult to use and poorly described. The impact of this is significant. A shocking insight from the report is that one solution enabled careers advisors to base course recommendations on labour market information for the first time. Prior to using this tool, such information was too time-consuming for careers advisors to uncover and analyse for it to be of use, and job seekers were given advice that was not based on employer demand for skills…To address this issue of hidden and missing data and unleash the productivity-raising potential of better skills matching, the report makes a series of recommendations, including:

  • The creation of a central labour market data repository that collates publicly available information about the labour market.
  • Public data providers should review the quality and accessibility of the data they hold, and make it easier for developers to use.

The development of better skills and labour market taxonomies to facilitate consistency between sources and enhance data matching…(More)”

Do journalists “hide behind” sources when they use numbers in the news?


Article by Mark Coddington and Seth Lewis: “Numerical information is a central piece of journalism. Just look at how often stories rely on quantitative data — from Covid case numbers to public opinion polling to economics statistics — as their evidentiary backbone. The rise of data journalism, with its slick visualizations and interactives, has reinforced the role and influence of numbers in the news.

But, as B.T. Lawson reminds us in a new article in Journalism Practice, though we have plenty of research on this decade-long boom in data journalism, much of the research “overstates the significance of the data journalist within the news media. Yes, data journalists are now a mainstay of most news organizations, but they are not the only journalists using numbers. Far from it.”

Indeed, in contrast to the 1960s and 70s era of computer-assisted reporting, when a small minority of specialized reporters worked with data but most reporters did not, nowadays virtually all journalists are expected to engage with numbers as part of their work. Which brings up a potential problem: Some research suggests that journalists rarely challenge the numbers they receive, leading them to accept and reproduce the discourse around those numbers from their sources.

To get a clearer picture of how journalists draw on numbers and narratives about them, Lawson examined reporters’ use of numbers in their coverage of seven humanitarian crises in 2017. The author did this in two ways: first through a content analysis of 978 news articles from U.K. news media (to look for some direct or indirect form of challenging statistics, cross-verifying one claim relative to another, etc.), and then through interviews with 16 journalists involved in at least one of those stories, to gain additional insights into the process of receiving and reporting on numbers.

The title of the resulting article — “Hiding Behind Databases, Institutions and Actors: How Journalists Use Statistics in Reporting Humanitarian Crises” — indicates something about one of its findings: namely, that journalists covering humanitarian crises rely heavily on numbers, often provided by NGOs or the UN, but they seldom verify the numbers they use, mainly because they see it as outside their role to do such work and because they “hide behind” the perceived credibility of their sources….(More)”

National strategies on Artificial Intelligence: A European perspective


Report by European Commission’s Joint Research Centre (JRC) and the OECD’s Science Technology and Innovation Directorate: “Artificial intelligence (AI) is transforming the world in many aspects. It is essential for Europe to consider how to make the most of the opportunities from this transformation and to address its challenges. In 2018 the European Commission adopted the Coordinated Plan on Artificial Intelligence that was developed together with the Member States to maximise the impact of investments at European Union (EU) and national levels, and to encourage synergies and cooperation across the EU.

One of the key actions towards these aims was an encouragement for the Member States to develop their national AI strategies.The review of national strategies is one of the tasks of AI Watch launched by the European Commission to support the implementation of the Coordinated Plan on Artificial Intelligence.

Building on the 2020 AI Watch review of national strategies, this report presents an updated review of national AI strategies from the EU Member States, Norway and Switzerland. By June 2021, 20 Member States and Norway had published national AI strategies, while 7 Member States were in the final drafting phase. Since the 2020 release of the AI Watch report, additional Member States – i.e. Bulgaria, Hungary, Poland, Slovenia, and Spain – published strategies, while Cyprus, Finland and Germany have revised the initial strategies.

This report provides an overview of national AI policies according to the following policy areas: Human capital, From the lab to the market, Networking, Regulation, and Infrastructure. These policy areas are consistent with the actions proposed in the Coordinated Plan on Artificial Intelligence and with the policy recommendations to governments contained in the OECD Recommendation on AI. The report also includes a section on AI policies to address societal challenges of the COVID-19 pandemic and climate change….(More)”.

Civic Space Scan of Finland


OECD Report: “At the global level, civic space is narrowing and thus efforts to protect and promote it are more important than ever. The OECD defines Civic Space as the set of legal, policy, institutional, and practical conditions necessary for non-governmental actors to access information, express themselves, associate, organise, and participate in public life. This document presents the Civic Space Scan of Finland, which was undertaken at the request of the Finnish government and is the first OECD report of its kind. OECD Civic Space Scans in particular assess how governments protect and promote civic space in each national context and propose ways to strengthen existing frameworks and practices. The Scan assesses four key dimensions of civic space: civic freedoms and rights, media freedoms and digital rights, the enabling environment for civil society organisations, and civic participation in policy and decision making. Each respective chapter of the report contains actionable recommendations for the Government of Finland. As part of the scan process, a citizens’ panel – also overseen by the OECD – was held in February 2021 and generated a wide range of recommendations for the government from a representative microcosm of Finnish society….(More)”.

The City as a Commons Reloaded: from the Urban Commons to Co-Cities Empirical Evidence on the Bologna Regulation


Chapter by Elena de Nictolis and Christian Iaione: “The City of Bologna is widely recognized for an innovative regulatory framework to enable urban commons. The “Regulation on public collaboration for the Urban Commons” produced more than 400 pacts of collaboration and was adopted by more than 180 Italian cities so far.

The chapter presents an empirical assessment of 280 pacts (2014-2016). The analytical approach is rooted in political economy (Polany 1944; Ahn & Ostrom 2003) and quality of democracy analysis (Diamond & Morlino, 2005). It investigates whether a model of co-governance applied to urban assets as commons impacts on the democratic qualities of equality and rule of law at the urban level. The findings suggest suggests that legal recognition of the urban commons is not sufficient if not coupled with an experimentalist policymaking approach to institutionally redesign the City as a platform enabling collective action of multi-stakeholder partnerships that should be entrusted with the task to trigger neighborhood-based sustainable development. Neighborhood scale investments that aim to seed community economic ventures emerge as a possible way to overcome the shortcomings of the first policy experiments. They also suggest the need for more investigation by scholars on the inclusiveness and diversity facets related to the implementation of urban commons policies….(More)”

Public Administration and Democracy: The Virtue and Limit of Participatory Democracy as a Democratic Innovation


Paper by Sirvan karimi: “The expansion of public bureaucracy has been one of the most significant developments that has marked societies particularly, Western liberal democratic societies. Growing political apathy, citizen disgruntlement and the ensuing decline in electoral participation reflects the political nature of governance failures. Public bureaucracy, which has historically been saddled with derogatory and pejorative connotations, has encountered fierce assaults from multiple fronts. Out of theses sharp criticisms of public bureaucracy that have emanated from both sides of the ideological spectrum, attempts have been made to popularize and advance citizen participation in both policy formulation and policy implementation processes as innovations to democratize public administration. Despite their virtue, empowering connotations and spirit-uplifting messages to the public, these proposed practices of democratic innovations not only have their own shortcomings and are conducive to exacerbating the conditions that they are directed to ameliorate but they also have the potential to undermine the traditional administrative and political accountability mechanisms….(More)”.

Engaging with the public about algorithmic transparency in the public sector


Blog by the Centre for Data Ethics and Innovation (UK): “To move the recommendation that we made in our review into bias in algorithmic decision-making forward, we have been working with the Central Digital and Data Office (CDDO) and BritainThinks to scope what a transparency obligation could look like in practice, and in particular, which transparency measures would be most effective at increasing public understanding about the use of algorithms in the public sector. 

Due to the low levels of awareness about the use of algorithms in the public sector (CDEI polling in July 2020 found that 38% of the public were not aware that algorithmic systems were used to support decisions using personal data), we opted for a deliberative public engagement approach. This involved spending time gradually building up participants’ understanding and knowledge about algorithm use in the public sector and discussing their expectations for transparency, and co-designing solutions together. 

For this project, we worked with a diverse range of 36 members of the UK public, spending over five hours engaging with them over a three week period. We focused on three particular use-cases to test a range of emotive responses – policing, parking and recruitment.  

The final stage was an in-depth co-design session, where participants worked collaboratively to review and iterate prototypes in order to develop a practical approach to transparency that reflected their expectations and needs for greater openness in the public sector use of algorithms. 

What did we find? 

Our research validated that there was fairly low awareness or understanding of the use of algorithms in the public sector. Algorithmic transparency in the public sector was not a front-of-mind topic for most participants.

However, once participants were introduced to specific examples of potential public sector algorithms, they felt strongly that transparency information should be made available to the public, both citizens and experts. This included desires for; a description of the algorithm, why an algorithm was being used, contact details for more information, data used, human oversight, potential risks and technicalities of the algorithm…(More)”.

Citizens ‘on mute’ in digital public service delivery


Blog by Sarah Giest at Data and Policy: “Various countries are digitalizing their welfare system in the larger context of austerity considerations and fraud detection goals, but these changes are increasingly under scrutiny. In short, digitalization of the welfare system means that with the help of mathematical models, data and/or the combination of different administrative datasets, algorithms issue a decision on, for example, an application for social benefits (Dencik and Kaun 2020).

Several examples exist where such systems have led to unfair treatment of welfare recipients. In Europe, the Dutch SyRI system has been banned by court, due to human rights violations in the profiling of welfare recipients, and the UK has found errors in the automated processes leading to financial hardship among citizens. In the United States and Canada, automated systems led to false underpayment or denial of benefits. A recent UN report (2019) even warns that countries are ‘stumbling zombie-like into a digital welfare dystopia’. Further, studies raise alarm that this process of digitalization is done in a way that it not only creates excessive information asymmetry among government and citizens, but also disadvantages certain groups more than others.

A closer look at the Dutch Childcare Allowance case highlights this. In this example, low-income parents were regarded as fraudsters by the Tax Authorities if they had incorrectly filled out any documents. An automated and algorithm-based procedure then also singled out dual-nationality families. The victims lost their allowance without having been given any reasons. Even worse, benefits already received were reclaimed. This led to individual hardship, where financial troubles and the categorization as a fraudster by government led for citizens to a chain of events from unpaid healthcare insurance and the inability to visit a doctor to job loss, potential home loss and mental health concerns (Volkskrant 2020)….(More)”.

Dutch cities to develop European mobility data standard


Cities Today: “Five Dutch cities – Amsterdam, Utrecht, Eindhoven, Rotterdam and The Hague – are collaborating to establish a new standard for the exchange of data between cities and shared mobility operators.

In partnership with the Dutch Ministry of Infrastructure and Water, the five cities, known as the G-5, will develop the City Data Standard – Mobility (CDS-M). The platform will allow information on mobility patterns, including the use of shared vehicles, traffic flows and parking, to be shared in compliance with Europe’s strict General Data Protection Regulation (GDPR).

So far, the working group has been focused on internal capacity-building, and members are set to delve into key thematic  areas from early June.

Speaking to Cities Today, Ross Curzon-Butler, Chairperson of the City of Amsterdam’s Data Specification for Mobility Working Group and Chief Technology Officer at Dutch start-up Cargoroo, said:“The key thing is about making sure the data is accessible to cities in a way that is proportional and compliant with GDPR.

“What we have to recognise is that cities are going to ask transport firms for data. This is coming, whether we like it or not. We therefore have the impetus to make sure that the data requested is in a standardised way, and that there’s a standardised understanding of why they’re being asked for that data.”…

Curzon-Butler sees the new standard as complementing, rather than competing with, the Open Mobility Foundation’s Mobility Data Specification (MDS), which is already used in several European cities, including Lisbon….

The CDS-M consists of the “standard”, the technical design, and the “agreement”, that details which organisations are involved in data processing. The agreement framework is now under development and will be established by a working group comprising mobility operators, urban planners, data scientists, code developers, data protection officers, and security experts.

“If you’re a city, or a data processor or a transport operator and you start asking people for different data points and asking for it in different formats, and across different standards, it becomes unmanageable,” Curzon-Butler said.

“And the development time in all of these things is already high enough, so what we’re trying to do is normalise the data flow as much as possible, so that everyone in that data chain doesn’t have these huge overheads that just grow and grow, where you’re then having to manage multiple dialects and standards and trying to understand ‘who’s got what data and what are they really doing with it?’.

“And in Europe we have GDPR, which is a very serious regulation that we have to be very mindful and aware of.”

He referenced a recent case where the Dutch Data Protection Authority (DPA) fined the City of Enschede €600,000 (US$730,000) for its use of Wi-Fi sensors to measure the number of people in the city centre.

It is understood to be the first time the regulator has imposed a fine on a government body under the GDPR but the case could have implications for cities well beyond the Netherlands. Enschede is appealing the decision…(More)”

Living Labs for Public Sector Innovation: An Integrative Literature Review


Paper by Lars Fuglsang, Anne Vorre Hansen, Ines Mergel, and Maria Taivalsaari Røhnebæk: “The public administration literature and adjacent fields have devoted increasing attention to living labs as environments and structures enabling the co-creation of public sector innovation. However, living labs remain a somewhat elusive concept and phenomenon, and there is a lack of understanding of its versatile nature. To gain a deeper understanding of the multiple dimensions of living labs, this article provides a review assessing how the environments, methods, and outcomes of living labs are addressed in the extant research literature. The findings are drawn together in a model synthesizing how living labs link to public sector innovation, followed by an outline of knowledge gaps and future research avenues….(More)”.