Sharing the benefits: How to use data effectively in the public sector

Curated on Posted on by Stefaan Verhulst

Report by Sarah Timmis, Luke Heselwood and Eleonora Harwich (for Reform UK): “This report demonstrates the potential of data sharing to transform the delivery of public services and improve outcomes for citizens. It explores how government can overcome various challenges to ‘get data right’ and enable better use of personal data within and between public-sector organisations.

Ambition meets reality

Government is set on using data more effectively to help deliver better public services. Better use of data can improve the design, efficiency and outcomes of services. For example, sharing data digitally between GPs and hospitals can enable early identification of patients most at risk of hospital admission, which has reduced admissions by up to 30 per cent in Somerset. Bristol’s Homeless Health Service allows access to medical, psychiatric, social and prison data, helping to provide a clearer picture of the complex issues facing the city’s homeless population. However, government has not yet created a clear data infrastructure, which would allow data to be shared across multiple public services, meaning efforts on the ground have not always delivered results.

The data: sticking points

Several technical challenges must be overcome to create the right data infrastructure. Individual pieces of data must be presented in standard formats to enable sharing within and across services. Data quality can be improved at the point of data collection, through better monitoring of data quality and standards within public-sector organisations and through data-curation-processes. Personal data also needs to be presented in a given format so linking data is possible in certain instances to identify individuals. Interoperability issues and legacy systems act as significant barriers to data linking. The London Metropolitan Police alone use 750 different systems, many of which are incompatible. Technical solutions, such as Application Programming Interfaces (APIs) can be overlaid on top of legacy systems to improve interoperability and enable data sharing. However, this is only possible with the right standards and a solid new data model. To encourage competition and improve interoperability in the longer term, procurement rules should make interoperability a prerequisite for competing companies, allowing customers to integrate their choices of the most appropriate products from different vendors.

Building trustworthiness

The ability to share data at scale through the internet has brought new threats to the security and privacy of personal information that amplifies the need for trust between government and citizens and across government departments. Currently, just 9 per cent of people feel that the Government has their best interests at heart when data sharing, and only 15 per cent are confident that government organisations would deal well with a cyber-attack. Considering attitudes towards data sharing are time and context dependent, better engagement with citizens and clearer explanations of when and why data is used can help build confidence. Auditability is also key to help people and organisations track how data is used to ensure every interaction with personal data is auditable, transparent and secure. …(More)”.

An Overview of National AI Strategies

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Medium Article by Tim Dutton: “The race to become the global leader in artificial intelligence (AI) has officially begun. In the past fifteen months, Canada, China, Denmark, the EU Commission, Finland, France, India, Italy, Japan, Mexico, the Nordic-Baltic region, Singapore, South Korea, Sweden, Taiwan, the UAE, and the UK have all released strategies to promote the use and development of AI. No two strategies are alike, with each focusing on different aspects of AI policy: scientific research, talent development, skills and education, public and private sector adoption, ethics and inclusion, standards and regulations, and data and digital infrastructure.

This article summarizes the key policies and goals of each strategy, as well as related policies and initiatives that have announced since the release of the initial strategies. It also includes countries that have announced their intention to develop a strategy or have related AI policies in place….(More)”.

Satellites can advance sustainable development by highlighting poverty

Curated on Posted on by Stefaan Verhulst

Cordis: “Estimating poverty is crucial for improving policymaking and advancing the sustainability of a society. Traditional poverty estimation methods such as household surveys and census data incur huge costs however, creating a need for more efficient approaches.

With this in mind, the EU-funded USES project examined how satellite images could be used to estimate household-level poverty in rural regions of developing countries. “This promises to be a radically more cost-effective way of monitoring and evaluating the Sustainable Development Goals,” says Dr Gary Watmough, USES collaborator and Interdisciplinary Lecturer in Land Use and Socioecological Systems at the University of Edinburgh, United Kingdom.

Land use and land cover reveal poverty clues

To achieve its aims, the project investigated how land use and land cover information from satellite data could be linked with household survey data. “We looked particularly at how households use the landscape in the local area for agriculture and other purposes such as collecting firewood and using open areas for grazing cattle,” explains Dr Watmough.

The work also involved examining satellite images to determine which types of land use were related to household wealth or poverty using statistical analysis. “By trying to predict household poverty using the land use data we could see which land use variables were most related to the household wealth in the area,” adds Dr Watmough.

Overall, the USES project found that satellite data could predict poverty particularly the poorest households in the area. Dr Watmough comments: “This is quite remarkable given that we are trying to predict complicated household-level poverty from a simple land use map derived from high-resolution satellite data.”

A study conducted by USES in Kenya found that the most important remotely sensed variable was building size within the homestead. Buildings less than 140 m2 were mostly associated with poorer households, whereas those over 140 m2 tended to be wealthier. The amount of bare ground in agricultural fields and within the homestead region was also important. “We also found that poorer households were associated with a shorter number of agricultural growing days,” says Dr Watmough….(More)”.

‘Data is a fingerprint’: why you aren’t as anonymous as you think online

Curated on Posted on by Stefaan Verhulst

Olivia Solon at The Guardian: “In August 2016, the Australian government released an “anonymised” data set comprising the medical billing records, including every prescription and surgery, of 2.9 million people.

Names and other identifying features were removed from the records in an effort to protect individuals’ privacy, but a research team from the University of Melbourne soon discovered that it was simple to re-identify people, and learn about their entire medical history without their consent, by comparing the dataset to other publicly available information, such as reports of celebrities having babies or athletes having surgeries.

The government pulled the data from its website, but not before it had been downloaded 1,500 times.

This privacy nightmare is one of many examples of seemingly innocuous, “de-identified” pieces of information being reverse-engineered to expose people’s identities. And it’s only getting worse as people spend more of their lives online, sprinkling digital breadcrumbs that can be traced back to them to violate their privacy in ways they never expected.

Nameless New York taxi logs were compared with paparazzi shots at locations around the city to reveal that Bradley Cooper and Jessica Alba were bad tippers. In 2017 German researchers were able to identify people based on their “anonymous” web browsing patterns. This week University College London researchers showed how they could identify an individual Twitter user based on the metadata associated with their tweets, while the fitness tracking app Polar revealed the homes and in some cases names of soldiers and spies.

“It’s convenient to pretend it’s hard to re-identify people, but it’s easy. The kinds of things we did are the kinds of things that any first-year data science student could do,” said Vanessa Teague, one of the University of Melbourne researchers to reveal the flaws in the open health data.

One of the earliest examples of this type of privacy violation occurred in 1996 when the Massachusetts Group Insurance Commission released “anonymised” data showing the hospital visits of state employees. As with the Australian data, the state removed obvious identifiers like name, address and social security number. Then the governor, William Weld, assured the public that patients’ privacy was protected….(More)”.

What if people were paid for their data?

Curated on Posted on by Stefaan Verhulst

The Economist: “Data Slavery” Jennifer Lyn Morone, an American artist, thinks this is the state in which most people now live. To get free online services, she laments, they hand over intimate information to technology firms. “Personal data are much more valuable than you think,” she says. To highlight this sorry state of affairs, Ms Morone has resorted to what she calls “extreme capitalism”: she registered herself as a company in Delaware in an effort to exploit her personal data for financial gain. She created dossiers containing different subsets of data, which she displayed in a London gallery in 2016 and offered for sale, starting at £100 ($135). The entire collection, including her health data and social-security number, can be had for £7,000.

Only a few buyers have taken her up on this offer and she finds “the whole thing really absurd”. ..Given the current state of digital affairs, in which the collection and exploitation of personal data is dominated by big tech firms, Ms Morone’s approach, in which individuals offer their data for sale, seems unlikely to catch on. But what if people really controlled their data—and the tech giants were required to pay for access? What would such a data economy look like?…

Labour, like data, is a resource that is hard to pin down. Workers were not properly compensated for labour for most of human history. Even once people were free to sell their labour, it took decades for wages to reach liveable levels on average. History won’t repeat itself, but chances are that it will rhyme, Mr Weyl predicts in “Radical Markets”, a provocative new book he has co-written with Eric Posner of the University of Chicago. He argues that in the age of artificial intelligence, it makes sense to treat data as a form of labour.

To understand why, it helps to keep in mind that “artificial intelligence” is something of a misnomer. Messrs Weyl and Posner call it “collective intelligence”: most AI algorithms need to be trained using reams of human-generated examples, in a process called machine learning. Unless they know what the right answers (provided by humans) are meant to be, algorithms cannot translate languages, understand speech or recognise objects in images. Data provided by humans can thus be seen as a form of labour which powers AI. As the data economy grows up, such data work will take many forms. Much of it will be passive, as people engage in all kinds of activities—liking social-media posts, listening to music, recommending restaurants—that generate the data needed to power new services. But some people’s data work will be more active, as they make decisions (such as labelling images or steering a car through a busy city) that can be used as the basis for training AI systems….

But much still needs to happen for personal data to be widely considered as labour, and paid for as such. For one thing, the right legal framework will be needed to encourage the emergence of a new data economy. The European Union’s new General Data Protection Regulation, which came into effect in May, already gives people extensive rights to check, download and even delete personal data held by companies. Second, the technology to keep track of data flows needs to become much more capable. Research to calculate the value of particular data to an AI service is in its infancy.

Third, and most important, people will have to develop a “class consciousness” as data workers. Most people say they want their personal information to be protected, but then trade it away for nearly nothing, something known as the “privacy paradox”. Yet things may be changing: more than 90% of Americans think being in control of who can get data on them is important, according to the Pew Research Centre, a think-tank….(More)”.

Neuroscience for Cities Playbook

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Tool resulting from a collaboration between Future Cities Catapult, Centric Lab and University College London: “It brings forward a framework of how neuroscience research can be put into practice in cities. This has been presented as a set of new tools, methodologies and strategies for organisations big and small, to adopt neuroscience insights into their supply chain.

With an aim to reach out to a wide audience from businesses to urban planners and academicians and policymakers, We are sure you will find the playbook a useful resource to explore the potential applications of this important area of research.

This playbook helps cities in three stages. The first is identifying the core environmental stressors, which have the widest mental and physical effects on city citizen, even a small reduction will make a fundamental difference in quality of life. The second is understanding the unintended human consequences of urban trends such as urban sprawl or automation. The final is highlighting the different opportunities for enhancing the user experience of cities through neuroscience-informed technology and urban planning.

The idea of using neuroscience to help design cities only arose in last ten years, and the technology to make it possible in the last three years. We are now on the cusp of a revolution in how metrics from neuroscience inform urban innovation strategies and increase the quality of life of the cities inhabitants. Developments in neuroscience are showing us new ways to understand how people experience the built environment, revealing new opportunities for innovation and improved experiences, leading in turn to greater productivity, wellbeing and attraction. Neuroscientists are also discovering important insights about outcomes for the less advantaged in our cities, providing compelling evidence in support of interventions to tackle the negative health impacts of city living, and ways to reduce barriers to access and opportunity.

Success will be a reduction in mental and physical health outbreaks; less cases of depression, dementia, anxiety disorders, etc. It can be seen in economic terms; a healthy population is a productive population….(More)”.

My City Forecast: Urban planning communication tool for citizen with national open data

Curated on Posted on by Stefaan Verhulst

Paper by Y. Hasegawa, Y. Sekimoto, T. Seto, Y. Fukushima et al in Computers, Environment and Urban Systems: “In urban management, the importance of citizen participation is being emphasized more than ever before. This is especially true in countries where depopulation has become a major concern for urban managers and many local authorities are working on revising city master plans, often incorporating the concept of the “compact city.” In Japan, for example, the implementation of compact city plans means that each local government decides on how to designate residential areas and promotes citizens moving to these areas in order to improve budget effectiveness and the vitality of the city. However, implementing a compact city is possible in various ways. Given that there can be some designated withdrawal areas for budget savings, compact city policies can include disadvantages for citizens. At this turning point for urban structures, citizen–government mutual understanding and cooperation is necessary for every step of urban management, including planning.

Concurrently, along with the recent rapid growth of big data utilization and computer technologies, a new conception of cooperation between citizens and government has emerged. With emerging technologies based on civic knowledge, citizens have started to obtain the power to engage directly in urban management by obtaining information, thinking about their city’s problems, and taking action to help shape the future of their city themselves (Knight Foundation, 2013). This development is also supported by the open government data movement, which promotes the availability of government information online (Kingston, Carver, Evans, & Turton, 2000). CityDashboard is one well-known example of real-time visualization and distribution of urban information. CityDashboard, a web tool launched in 2012 by University College London, aggregates spatial data for cities around the UK and displays the data on a dashboard and a map. These new technologies are expected to enable both citizens and government to see their urban situation in an interface presenting an overhead view based on statistical information.

However, usage of statistics and governmental data is as yet limited in the actual process of urban planning…

To help improve this situation and increase citizen participation in urban management, we have developed a web-based urban planning communication tool using open government data for enhanced citizen–government cooperation. The main aim of the present research is to evaluate the effect of our system on users’ awareness of and attitude toward the urban situation. We have designed and developed an urban simulation system, My City Forecast (http://mycityforecast.net,) that enables citizens to understand how their environment and region are likely to change by urban management in the future (up to 2040)….(More)”.

Can Smart Cities Be Equitable?

Curated on Posted on by Stefaan Verhulst

Homi Kharas and Jaana Remes at Project Syndicate: “Around the world, governments are making cities “smarter” by using data and digital technology to build more efficient and livable urban environments. This makes sense: with urban populations growing and infrastructure under strain, smart cities will be better positioned to manage rapid change.

But as digital systems become more pervasive, there is a danger that inequality will deepen unless local governments recognize that tech-driven solutions are as important to the poor as they are to the affluent.

While offline populations can benefit from applications running in the background of daily life – such as intelligent signals that help with traffic flows – they will not have access to the full range of smart-city programs. With smartphones serving as the primary interface in the modern city, closing the digital divide, and extending access to networks and devices, is a critical first step.

City planners can also deploy technology in ways that make cities more inclusive for the poor, the disabled, the elderly, and other vulnerable people. Examples are already abundant.

In New York City, the Mayor’s Public Engagement Unit uses interagency data platforms to coordinate door-to-door outreachto residents in need of assistance. In California’s Santa Clara County, predictive analytics help prioritize shelter space for the homeless. On the London Underground, an app called Wayfindr uses Bluetooth to help visually impaired travelers navigate the Tube’s twisting pathways and escalators.

And in Kolkata, India, a Dublin-based startup called Addressing the Unaddressedhas used GPS to provide postal addresses for more than 120,000 slum dwellers in 14 informal communities. The goal is to give residents a legal means of obtaining biometric identification cards, essential documentation needed to access government services and register to vote.

But while these innovations are certainly significant, they are only a fraction of what is possible.

Public health is one area where small investments in technology can bring big benefits to marginalized groups. In the developing world, preventable illnesses comprise a disproportionate share of the disease burden. When data are used to identify demographic groups with elevated risk profiles, low-cost mobile-messaging campaigns can transmit vital prevention information. So-called “m-health” interventions on issues like vaccinations, safe sex, and pre- and post-natal care have been shown to improve health outcomes and lower health-care costs.

Another area ripe for innovation is the development of technologies that directly aid the elderly….(More)”.

Balancing Act: Innovation vs. Privacy in the Age of Data Portability

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Thursday, July 12, 2018 @ 2 MetroTech Center, Brooklyn, NY 11201

RSVP here.

The ability of people to move or copy data about themselves from one service to another — data portability — has been hailed as a way of increasing competition and driving innovation. In many areas, such as through the Open Banking initiative in the United Kingdom, the practice of data portability is fully underway and propagating. The launch of GDPR in Europe has also elevated the issue among companies and individuals alike. But recent online security breaches and other experiences of personal data being transferred surreptitiously from private companies, (e.g., Cambridge Analytica’s appropriation of Facebook data), highlight how data portability can also undermine people’s privacy.

The GovLab at the NYU Tandon School of Engineering is pleased to present Jeni Tennison, CEO of the Open Data Institute, for its next Ideas Lunch, where she will discuss how data portability has been regulated in the UK and Europe, and what governments, businesses and people need to do to strike the balance between its risks and benefits.

—

Jeni Tennison is the CEO of the Open Data Institute. She gained her PhD from the University of Nottingham then worked as an independent consultant, specialising in open data publishing and consumption, before joining the ODI in 2012. Jeni was awarded an OBE for services to technology and open data in the 2014 New Year Honours.

Before joining the ODI, Jeni was the technical architect and lead developer for legislation.gov.uk. She worked on the early linked data work on data.gov.uk, including helping to engineer new standards for publishing statistics as linked data. She continues her work within the UK’s public sector as a member of the Open Standards Board.

Jeni also works on international web standards. She was appointed to serve on the W3C’s Technical Architecture Group from 2011 to 2015 and in 2014 she started to co-chair the W3C’s CSV on the Web Working Group. She also sits on the Advisory Boards for Open Contracting Partnership and the Data Transparency Lab.

Twitter handle: @JeniT

Essentials of the Right of Access to Public Information: An Introduction

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Introduction by Blanke, Hermann-Josef and Perlingeiro, Ricardo in the book “The Right of Access to Public Information : An International Comparative Legal Survey”: “The first freedom of information law was enacted in Sweden back in 1766 as the “Freedom of the Press and the Right of Access to Public Records Act”. It sets an example even today. However, the “triumph” of the freedom of information did not take place until much later. Many western legal systems arose from the American Freedom of Information Act, which was signed into law by President L.B. Johnson in 1966. This Act obliges all administrative authorities to provide information to citizens and imposes any necessary limitations. In an exemplary manner, it standardizes the objective of administrative control to protect citizens from government interference with their fundamental rights. Over 100 countries around the world have meanwhile implemented some form of freedom of information legislation. The importance of the right of access to information as an aspect of transparency and a condition for the rule of law and democracy is now also becoming apparent in international treaties at a regional level. This article provides an overview on the crucial elements and the guiding legal principles of transparency legislation, also by tracing back the lines of development of national and international case-law….(More)”.