Should Libraries Be the Keepers of Their Cities’ Public Data?


Linda Poon at CityLab: “In recent years, dozens of U.S. cities have released pools of public data. It’s an effort to improve transparency and drive innovation, and done well, it can succeed at both: Governments, nonprofits, and app developers alike have eagerly gobbled up that data, hoping to improve everything from road conditions to air quality to food delivery.

But what often gets lost in the conversation is the idea of how public data should be collected, managed, and disseminated so that it serves everyone—rather than just a few residents—and so that people’s privacy and data rights are protected. That’s where librarians come in.

“As far as how private and public data should be handled, there isn’t really a strong model out there,” says Curtis Rogers, communications director for the Urban Library Council (ULC), an association of leading libraries across North America. “So to have the library as the local institution that is the most trusted, and to give them that responsibility, is a whole new paradigm for how data could be handled in a local government.”

In fact, librarians have long been advocates of digital inclusion and literacy. That’s why, last month, ULC launched a new initiative to give public libraries a leading role in a future with artificial intelligence. They kicked it off with a working group meeting in Washington, D.C., where representatives from libraries in cities like Baltimore, Toronto, Toledo, and Milwaukee met to exchange ideas on how to achieve that through education and by taking on a larger role in data governance.

It’s a broad initiative, and Rogers says they are still in the beginning stages of determining what that role will ultimately look like. But the group will discuss how data should be organized and managed, hash out the potential risks of artificial intelligence, and eventually develop a field-wide framework for how libraries can help drive equitable public data policies in cities.

Already, individual libraries are involved with their city’s data. Chattanooga Public Library (which wasn’t part of the working group, but is a member of ULC) began hosting the city’s open data portal in 2014, turning a traditionally print-centered institution into a community data hub. Since then, the portal has added more than 280 data sets and garnered hundreds of thousands of page views, according to a report for the 2018 fiscal year….

The Toronto Public Library is also in a unique position because it may soon sit inside one of North America’s “smartest” cities. Last month, the city’s board of trade published a 17-page report titled “BiblioTech,” calling for the library to oversee data governance for all smart city projects.

It’s a grand example of just how big the potential is for public libraries. Ryan says the proposal remains just that at the moment, and there are no details yet on what such a model would even look like. She adds that they were not involved in drafting the proposal, and were only asked to provide feedback. But the library is willing to entertain the idea.

Such ambitions would be a large undertaking in the U.S., however, especially for smaller libraries that are already understaffed and under-resourced. According to ULC’s survey of its members, only 23 percent of respondents said they have a staff person designated as the AI lead. A little over a quarter said they even have AI-related educational programming, and just 15 percent report being part of any local or national initiative.

Debbie Rabina, a professor of library science at Pratt Institute in New York, also cautions that putting libraries in charge of data governance has to be carefully thought out. It’s one thing for libraries to teach data literacy and privacy, and to help cities disseminate data. But to go further than that—to have libraries collecting and owning data and to have them assessing who can and can’t use the data—can lead to ethical conflicts and unintended consequences that could erode the public’s trust….(More)”.

Leveraging and Sharing Data for Urban Flourishing


Testimony by Stefaan Verhulst before New York City Council Committee on Technology and the Commission on Public Information and Communication (COPIC): “We live in challenging times. From climate change to economic inequality, the difficulties confronting New York City, its citizens, and decision-makers are unprecedented in their variety, and also in their complexity and urgency. Our standard policy toolkit increasingly seems stale and ineffective. Existing governance institutions and mechanisms seem outdated and distrusted by large sections of the population.

To tackle today’s problems we need not only new solutions but also new methods for arriving at solutions. Data can play a central role in this task. Access to and the use of data in a trusted and responsible manner is central to meeting the challenges we face and enabling public innovation.

This hearing, called by the Technology Committee and the Commission on Public Information and Communication, is therefore timely and very important. It is my firm belief that rapid progress on developing an effective data sharing framework is among the most important steps our New York City leaders can take to tackle the myriad of 21st challenges....

I am joined today by some of my distinguished NYU colleagues, Prof. Julia Lane and Prof. Julia Stoyanovich, who have worked extensively on the technical and privacy challenges associated with data sharing. I will, therefore, avoid duplicating our testimonies and won’t focus on issues of privacy, trust and how to establish a responsible data sharing infrastructure, while these are central considerations for the type of data-driven approaches I will discuss. I am, of course, happy to elaborate on these topics during the question and answer session.

Instead, I want to focus on four core issues associated with data collaboration. I phrase these issues as answers to four questions. For each of these questions, I also provide a set of recommended actions that this Committee could consider undertaking or studying.

The four core questions are:

  • First, why should NYC care about data and data sharing?
  • Second, if you build a data-sharing framework, will they come?
  • Third, how can we best engage the private sector when it comes to sharing and using their data?
  • And fourth, is technology is the main (or best) answer?…(More)”.

Digital mile-markers provide navigation in cities


Springwise: “UK-based Maynard Design Consultancy has developed a system to help people navigate the changing landscape of city neighbourhoods. A prototype of a wayfinding solution for districts in London combines smart physical markers and navigational apps. The physical markers, inspired by traditional mile markers, include a digital screen. They provide real-time information, including daily news and messages from local businesses. The markers also track how people use the park, providing valuable information to the city and urban planners. The partnering apps provide up-to-date information about the changing environment in the city, such as on-going construction and delays due to large-scale events.

Unlike traditional, smartphone based navigational apps, this concept uses technology to help us reconnect with our surroundings, Maynard Design said.

The proposal won the Smart London District Challenge competition set by the Institute for Sustainability. Maynard is currently looking for partner companies to pilot its concept.

Takeaway: The Maynard design represents the latest efforts to use smartphones to amplify public safety announcements, general information and local businesses. The concept moves past traditional wayfinding markers to link people to a smart-city grid. By tracking how people use parks and other urban spaces, the markers will provide valuable insight for city officials. We expect more innovations like this as cities increasingly move toward seamless communication between services and city residents, aided by smart technologies. Over the past several months, we have seen technology to connect drivers to parking spaces and a prototype pavement that can change functions based on people’s needs….(More)”

Urban Computing


Book by Yu Zheng:”…Urban computing brings powerful computational techniques to bear on such urban challenges as pollution, energy consumption, and traffic congestion. Using today’s large-scale computing infrastructure and data gathered from sensing technologies, urban computing combines computer science with urban planning, transportation, environmental science, sociology, and other areas of urban studies, tackling specific problems with concrete methodologies in a data-centric computing framework. This authoritative treatment of urban computing offers an overview of the field, fundamental techniques, advanced models, and novel applications.

Each chapter acts as a tutorial that introduces readers to an important aspect of urban computing, with references to relevant research. The book outlines key concepts, sources of data, and typical applications; describes four paradigms of urban sensing in sensor-centric and human-centric categories; introduces data management for spatial and spatio-temporal data, from basic indexing and retrieval algorithms to cloud computing platforms; and covers beginning and advanced topics in mining knowledge from urban big data, beginning with fundamental data mining algorithms and progressing to advanced machine learning techniques. Urban Computing provides students, researchers, and application developers with an essential handbook to an evolving interdisciplinary field….(More)”

The city as collective intelligence


Geoff Mulgan at Social Innovation Exchange: “As cities grow in size and significance, they can become sites of complex social problems – but also hubs for exploring possible solutions. While every city faces distinct problems, they all share a need for innovative approaches to tackle today’s challenges….

We all roughly know how our brains work. But what would a city look like that could truly think and act?  What if it could be fully aware of all of its citizens experiences; able to remember and create; and then to act and learn?

This might once have been a fantasy. But it is coming closer. Cities can see in new ways – with citizen generated data on everything from the prevalence of floods to the quality of food in restaurants. Cities can create in new ways, through open challenges that mobilise public creativity. And they can decide in new ways, as cities like Madrid and Barcelona have done with online platforms that let citizens propose policies and then deliberate. Some of this is helped by technology. Our mobile phones collect data on a vast scale, and that’s now matched by sensors and the smart chips in our cars, buildings and trains. But the best examples combine machine intelligence with human intelligence: this is the promise of collective intelligence, and it has obvious relevance to a city like Seoul with millions of smart citizens, fantastic infrastructures and very capable institutions, from government to universities, NGOs to business.

Over the last few years, many experiments have shown how thousands of people can collaborate online analysing data or solving problems, and there’s been an explosion of new technologies to sense, analyse and predict. We can see some of the results in things like Wikipedia; the spread of citizen science in which millions of people help to spot new stars in the galaxy. There are new business models like Duolingo which mobilises volunteers to improve its service providing language teaching, and collective intelligence examples in health, where patients band together to design new technologies or share data. 

I’m interested in how we can use these new kinds of collective intelligence to solve problems like climate change or disease, and am convinced that every organisation and every city can work more successfully if it taps into a bigger mind – mobilising more brains and computers to help it.  

Doing that requires careful design, curation and orchestration. It’s not enough just to mobilise the crowd. Crowds are all too capable of being foolish, prejudiced and malign. Nor it is enough just to hope that brilliant ideas will emerge naturally. Thought requires work – to observe, analyse, create, remember and judge and to avoid the many pitfalls of delusion and deliberate misinformation.

But the emerging field of collective intelligence now offers many ways for cities to organise themselves in new ways.

Take air quality as an example. A city using collective intelligence methods will bring together many different kinds of data to understand what’s happening to air, and the often complex patterns of particulates.  Some of this will come from its own sensors, and some data can be generated by citizens. Artificial intelligence tools can then be trained to predict how it may change, for example because of a shift in the weather. The next stage then is to mobilise citizens and experts to investigate the options to improve air quality looking in detail at which roads have the worst levels or which buildings are emitting the most, and what changes would have most impact. And finally cities can open up the process of learning, seeing what’s working and what’s not….(More)”.

This website can tell what kind of person you are based on where you live. See for yourself what your ZIP code says about you


Meira Geibel at Business Insider:

  • “Esri’s Tapestry technology includes a ZIP code look-up feature where you can see the top demographics, culture, and lifestyle choices in your area.
  • Each ZIP code shows a percentage breakdown of Esri’s 67 unique market-segment classifications with kitschy labels like “Trendsetters” and “Savvy Suburbanites.”
  • The data can be altered to show median age, population density, people with graduate and professional degrees, and the percentage of those who charge more than $1,000 to their credit cards monthly.

Where you live says a lot about you. While you’re not totally defined by where you go to sleep at night, you may have more in common with your neighbors than you think.

That’s according to Esri, a geographic-information firm based in California, which offers a “ZIP Lookup” feature. The tool breaks down the characteristics of the individuals in a given neighborhood by culture, lifestyle, and demographics based on data collected from the area.

The data is then sorted into 67 unique market-segment classifications that have rather kitschy titles like “Trendsetters” and “Savvy Suburbanites.”

You can try it for yourself: Just head to the website, type in your ZIP code, and you’ll be greeted with a breakdown of your ZIP code’s demographic characteristics….(More)”.

The Internet of Humans (IoH): Human Rights and Co-Governance to Achieve Tech Justice in the City


Paper by Christian Iaione, Elena de Nictolis and Anna Berti Suman: “Internet of Things, Internet of Everything and Internet of People are concepts suggesting that objects, devices and people will be increasingly interconnected through digital infrastructure that will generate a growing gathering of data. Parallel to this is the celebration of the smart city and sharing city as urban policy visions that by relying heavily on new technologies bear the promise of a efficient and thriving cities. Law and policy scholarship has either focused on questions related to privacy, discrimination, security or issues related to the production and use of big data, digital public services. Little or no attention in the literature has been paid to the disruptive impact of technological development on urban governance and city inhabitants’ rights of equal access, participation, management and even ownership, in order to understand whether and how technology can also enhance the protection of human rights and social justice in the city.

This article advances the proposal of complementing the technological and digital infrastructure with a legal and institutional infrastructure, the Internet of Humans, by construing and injecting in the legal and policy framework of the city the principle of Tech Justice. Building on the literature review on and from the analysis of selected case studies this article stresses the dichotomy existing between the market-based and the society-based applications of technology, the first likely to increase the digital divide and the challenges to human rights in the city, the latter bearing the promise to promote equal access to technology in the city. The main argument advanced by this paper is indeed that Tech Justice is an empirical dimension that can steer the developments of smart city and sharing city policies toward a more just and democratic city….(More)”.

Is Gamification Making Cities Smarter?


Gianluca Sgueo in Ius Publicum Network Review: Streets embedded with sensors to manage traffic congestion, public spaces monitored by high-tech command centres to detect suspicious activities, real-time and publicly accessible data on energy, transportation and waste management – in academia, there is still no generally agreed definition of ‘smart cities’. But in the collective imagination, the connotations are clear: smart cities are seen as efficient machines governed by algorithms. For decades, the combination of technology and data has been a key feature of smart urban management. Under this scheme, what branded a city as smart was the efficiency of (digital) public services. Over time, concerns have grown over this privatization of public services. Who owns the data processed by private companies? Who guarantees that data are treated ethically? How inclusive are the public services provided by increasingly privatised smart cities? 

In response to such criticism, urban management has progressively shifted the focus from the efficiency of public services to citizens’ concerns. This new approach puts inclusiveness at the centre of public services design. Citizens are actively engaged in all phases of urban management, from planning to service provision. However, the quest for inclusive urban management is confronted by four challenges. The first is dimensional, the second regulatory, the third financial, and the fourth relational.

The moment we combine these four challenges together, uncertainty arises: can a smart city be inclusive at the same time? It goes beyond the scope of this article to thoroughly delve into this question. My aim is to contribute to reflections on where the quest for inclusiveness is leading smart urban management. To this end, this article focuses on one specific form of innovative urban management: a combination of technology and fun design described as ‘gamification’.

The article reviews the use of gamification at the municipal level. After describing seven case studies of gamified urban governance, it analyses three shared traits of these initiatives, namely: the structure, the design, and the purposes. It then discusses the (potential) benefits and (actual) drawbacks of gamification in urban environments. The article concludes by assessing the contribution that gamification is making to the evolution of smart cities. It is argued that gamification offers a meaningful solution to more inclusive urban decision-making. But it is also warned about three common misconceptions in discourses on the future of smart cities. The first is the myth of inclusive technology; the second consists of the illusion of the democratic potential of games; finally, the third points at the downsides of regulatory experimentalism….(More)”.

New Urban Centres Database sets new standards for information on cities at global scale


EU Science Hub: “Data analysis highlights very diverse development patterns and inequalities across cities and world regions.

Building on the Global Human Settlement Layer (GHSL), the new database provides more detailed information on the cities’ location and size as well as characteristics such as greenness, night time light emission, population size, the built-up areas exposed to natural hazards, and travel time to the capital city.

For several of these attributes, the database contains information recorded over time, dating as far back as 1975. 

Responding to a lack of consistent data, or data only limited to large cities, the Urban Centre Database now makes it possible to map, classify and count all human settlements in the world in a standardised way.

An analysis of the data reveals very different development patterns in the different parts of the world.

“The data shows that in the low-income countries, high population growth has resulted only into moderate increases in the built-up areas, while in the high-income countries, moderate population growth has resulted into very big increases in the built-up areas. In practice, cities have grown more in size in richer countries, with respect to poorer countries where the populations are growing faster”, said JRC researcher Thomas Kemper.

According to JRC scientists, around 75% of the global population now live in cities, towns or suburbs….

The City Centres Database provides new open data supporting the monitoring of UN Sustainable Development Goals, the UN’s New Urban Agenda and the Sendai Framework for Disaster Risk Reduction.

The main findings based on the Urban Centre Database are summarised in a new edition of the Atlas of the Human Planet, published together with the database….(More)”.

People-led innovation project to help tackle policy challenges


Natalie Leal at Global Government Forum: “A new initiative by two US think tanks aims to help public bodies explore innovative ways of consulting and engaging with communities, finding new answers to public policy challenges. 

The People-Led Innovation project was launched on Tuesday by GovLab and the Bertelsmann Foundation. Noting that citizens’ knowledge, insights and ideas often hold the key to the problems faced by governments, GovLab co-founder Stefaan Verhulst said the new tools will help officials consider “the most effective ways to engage the right people for the right task at the right time.”

Verhulst explained that the initiative, ‘People-Led Innovation: Toward a Methodology for Solving Urban Problems in the 21st Century’, is “built on the idea that, as governments increasingly experiment with new means for drawing on the public’s knowledge and skills to address common challenges, one-size-fits-all citizen engagement efforts are often too broad and unwieldy to surface useful insights.”

A fresh methodology

The new site aims to provide leaders with a toolkit and “a set of steps that enable them to tap into their potentially most important – but underutilized – asset: people.” While the project’s main audience is US city governments, the skills and methodology are transferable and the researchers have drawn on case studies from around the world.

The methodology breaks the process down into four distinct stages: defining the problem; curating possible solutions using people and data; experimenting and testing what works in practice; and reviewing and ‘expanding’ – incorporating feedback and transferring lessons learned to a wider audience. At each stage, leaders are encouraged to identify stakeholders to consult or co-create with. 

At the heart of the initiative is the idea that everyone – from local residents, small businesses and community bodies through to government agencies, corporate giants and international organisations – can contribute valuable ideas and help solve complex problems....

“People’s expertise comes in a range of flavours – from interests and experiences to skills and credentialed knowledge – yet all are equally valuable to engage when solving problems,” say the creators in a report on the website. 

Four types of engagement methods are suggested as ways to best “tap into the diverse expertise distributed among people outside of government. These are: commenting, for example a discussion platform to gather views, experiences and opinions; co-creating, e.g. a sector-specific hackathon to leverage datasets; reviewing, including online or offline engagements allowing people to vote on specific proposals or ideas; and reporting, e.g. a crowdsourcing platform for citizens to record incidents of problematic issues such as potholes or graffiti….(More)”.