Smart Urbanism: Utopian vision or false dawn?


Book edited by Simon MarvinAndrés Luque-Ayala, and Colin McFarlane: “Smart Urbanism (SU) – the rebuilding of cities through the integration of digital technologies with buildings, neighbourhoods, networked infrastructures and people – is being represented as a unique emerging ‘solution’ to the majority of problems faced by cities today. SU discourses, enacted by technology companies, national governments and supranational agencies alike, claim a supremacy of urban digital technologies for managing and controlling infrastructures, achieving greater effectiveness in managing service demand and reducing carbon emissions, developing greater social interaction and community networks, providing new services around health and social care etc. Smart urbanism is being represented as the response to almost every facet of the contemporary urban question.

This book explores this common conception of the problematic of smart urbanism and critically address what new capabilities are being created by whom and with what exclusions; how these are being developed – and contested; where is this happening both within and between cities; and, with what sorts of social and material consequences. The aim of the book is to identify and convene a currently fragmented and disconnected group of researchers, commentators, developers and users from both within and outside the mainstream SU discourse, including several of those that adopt a more critical perspective, to assess ‘what’ problems of the city smartness can address

The volume provides the first internationally comparative assessment of SU in cities of the global north and south, critically evaluates whether current visions of SU are able to achieve their potential; and then identifies alternative trajectories for SU that hold radical promise for reshaping cities….(More)”

Biases in collective platforms: Wikipedia, GitHub and crowdmapping


Stefana Broadbent at Nesta: “Many of the collaboratively developed knowledge platforms we discussed at our recent conference, At The Roots of Collective Intelligence, suffer from a well-known “contributors’ bias”.

More than 85% of Wikipedia’s entries have been written by men 

OpenStack, as with most other Open Source projects, has seen the emergence of a small group of developers who author the majority of the projects. In fact 80% of the commits have been authored by slightly less than 8% of the authors, while 90% of the commits correspond to about 17% of all the authors.

GitHub’s Be Social function allows users to “follow” other participants and receive notification of their activity. The most popular contributors tend therefore to attract other users to the projects they are working on. And Open Street Map has 1.2 million registered users, but less than 15% of them have produced the majority of the 13 million elements of information.

Research by Quattrone, Capra, De Meo (2015) showed that while the content mapped was not different between active and occasional mappers, the social composition of the power users led to a geographical bias, with less affluent areas remaining unmapped more frequently than urban centres.

These well-known biases in crowdsourcing information, also known as the ‘power users’ effect, were discussed by Professor Licia Capra from the Department of Engineering at UCL. Watch the video of her talk here.

In essence, despite the fact that crowd-sourcing platforms are inclusive and open to anyone willing to dedicate the time and effort, there is a process of self-selection. Different factors can explain why there are certain gender and socio economic groups that are drawn to specific activities, but it is clear that there is a progressive reduction of the diversity of contributors over time.

The effect is more extreme where there is the need for continuous contributions. As the Humanitarian Open StreetMap Team project data showed, humanitarian crises attract many users who contribute intensely for a short time, but only very few participants contribute regularly for a long time. Only a small proportion of power users continue editing or adding code for sustained periods. This effect begs two important questions: does the editing job of the active few skew the information made available, and what can be done to avoid this type of concentration?….

The issue of how to attract more volunteers and editors is more complex and is a constant challenge for any crowdsourcing platform. We can look back at when Wikipedia started losing contributors, which coincided with a period of tighter restrictions to the editing process. This suggests that alongside designing the interface in a way to make contributions easy to be created and shared, it is also necessary to design practices and social norms that are immediately and continuously inclusive. – (More)”

 

Smart Cities as Democratic Ecologies


Book edited by Daniel Araya: “The concept of the ‘smart city’ as the confluence of urban planning and technological innovation has become a predominant feature of public policy discourse. Despite its expanding influence, however, there is little consensus on the precise meaning of a ‘smart city’. One reason for this ambiguity is that the term means different things to different disciplines. For some, the concept of the ‘smart city’ refers to advances in sustainability and green technologies. For others, it refers to the deployment of information and communication technologies as next generation infrastructure.

This volume focuses on a third strand in this discourse, specifically technology driven changes in democracy and civic engagement. In conjunction with issues related to power grids, transportation networks and urban sustainability, there is a growing need to examine the potential of ‘smart cities’ as ‘democratic ecologies’ for citizen empowerment and user-driven innovation. What is the potential of ‘smart cities’ to become platforms for bottom-up civic engagement in the context of next generation communication, data sharing, and application development? What are the consequences of layering public spaces with computationally mediated technologies? Foucault’s notion of the panopticon, a metaphor for a surveillance society, suggests that smart technologies deployed in the design of ‘smart cities’ should be evaluated in terms of the ways in which they enable, or curtail, new urban literacies and emergent social practices….(More)”

Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life


Paper by Edward L. Glaeser et al: “New, “big” data sources allow measurement of city characteristics and outcome variables higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people or place. We describe a number of new urban data sources and illustrate how they can be used to improve the study and function of cities. We first show how Google Street View images can be used to predict income in New York City, suggesting that similar image data can be used to map wealth and poverty in previously unmeasured areas of the developing world. We then discuss how survey techniques can be improved to better measure willingness to pay for urban amenities. Finally, we explain how Internet data is being used to improve the quality of city services….(More)”

Urban Civics: An IoT middleware for democratizing crowdsensed data in smart societies


Hachem, Sara et al in Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI): “While the design of smart city ICT systems of today is still largely focused on (and therefore limited to) passive sensing, the emergence of mobile crowd-sensing calls for more active citizen engagement in not only understanding but also shaping of our societies. The Urban Civics Internet of Things (IoT) middleware enables such involvement while effectively closing several feedback loops by including citizens in the decision-making process thus leading to smarter and healthier societies. We present our initial design and planned experimental evaluation of city-scale architecture components where data assimilation, actuation and citizen engagement are key enablers toward democratization of urban data, longer-term transparency, and accountability of urban development policies. All of these are building blocks of smart cities and societies….(More)”

How Big Data is Helping to Tackle Climate Change


Bernard Marr at DataInformed: “Climate scientists have been gathering a great deal of data for a long time, but analytics technology’s catching up is comparatively recent. Now that cloud, distributed storage, and massive amounts of processing power are affordable for almost everyone, those data sets are being put to use. On top of that, the growing number of Internet of Things devices we are carrying around are adding to the amount of data we are collecting. And the rise of social media means more and more people are reporting environmental data and uploading photos and videos of their environment, which also can be analyzed for clues.

Perhaps one of the most ambitious projects that employ big data to study the environment is Microsoft’s Madingley, which is being developed with the intention of creating a simulation of all life on Earth. The project already provides a working simulation of the global carbon cycle, and it is hoped that, eventually, everything from deforestation to animal migration, pollution, and overfishing will be modeled in a real-time “virtual biosphere.” Just a few years ago, the idea of a simulation of the entire planet’s ecosphere would have seemed like ridiculous, pie-in-the-sky thinking. But today it’s something into which one of the world’s biggest companies is pouring serious money. Microsoft is doing this because it believes that analytical technology has finally caught up with the ability to collect and store data.

Another data giant that is developing tools to facilitate analysis of climate and ecological data is EMC. Working with scientists at Acadia National Park in Maine, the company has developed platforms to pull in crowd-sourced data from citizen science portals such as eBird and iNaturalist. This allows park administrators to monitor the impact of climate change on wildlife populations as well as to plan and implement conservation strategies.

Last year, the United Nations, under its Global Pulse data analytics initiative, launched the Big Data Climate Challenge, a competition aimed to promote innovate data-driven climate change projects. Among the first to receive recognition under the program is Global Forest Watch, which combines satellite imagery, crowd-sourced witness accounts, and public datasets to track deforestation around the world, which is believed to be a leading man-made cause of climate change. The project has been promoted as a way for ethical businesses to ensure that their supply chain is not complicit in deforestation.

Other initiatives are targeted at a more personal level, for example by analyzing transit routes that could be used for individual journeys, using Google Maps, and making recommendations based on carbon emissions for each route.

The idea of “smart cities” is central to the concept of the Internet of Things – the idea that everyday objects and tools are becoming increasingly connected, interactive, and intelligent, and capable of communicating with each other independently of humans. Many of the ideas put forward by smart-city pioneers are grounded in climate awareness, such as reducing carbon dioxide emissions and energy waste across urban areas. Smart metering allows utility companies to increase or restrict the flow of electricity, gas, or water to reduce waste and ensure adequate supply at peak periods. Public transport can be efficiently planned to avoid wasted journeys and provide a reliable service that will encourage citizens to leave their cars at home.

These examples raise an important point: It’s apparent that data – big or small – can tell us if, how, and why climate change is happening. But, of course, this is only really valuable to us if it also can tell us what we can do about it. Some projects, such as Weathersafe, which helps coffee growers adapt to changing weather patterns and soil conditions, are designed to help humans deal with climate change. Others are designed to tackle the problem at the root, by highlighting the factors that cause it in the first place and showing us how we can change our behavior to minimize damage….(More)”

Questioning Smart Urbanism: Is Data-Driven Governance a Panacea?


 at the Chicago Policy Review: “In the era of data explosion, urban planners are increasingly relying on real-time, streaming data generated by “smart” devices to assist with city management. “Smart cities,” referring to cities that implement pervasive and ubiquitous computing in urban planning, are widely discussed in academia, business, and government. These cities are characterized not only by their use of technology but also by their innovation-driven economies and collaborative, data-driven city governance. Smart urbanism can seem like an effective strategy to create more efficient, sustainable, productive, and open cities. However, there are emerging concerns about the potential risks in the long-term development of smart cities, including political neutrality of big data, technocratic governance, technological lock-ins, data and network security, and privacy risks.

In a study entitled, “The Real-Time City? Big Data and Smart Urbanism,” Rob Kitchin provides a critical reflection on the potential negative effects of data-driven city governance on social development—a topic he claims deserves greater governmental, academic, and social attention.

In contrast to traditional datasets that rely on samples or are aggregated to a coarse scale, “big data” is huge in volume, high in velocity, and diverse in variety. Since the early 2000s, there has been explosive growth in data volume due to the rapid development and implementation of technology infrastructure, including networks, information management, and data storage. Big data can be generated from directed, automated, and volunteered sources. Automated data generation is of particular interest to urban planners. One example Kitchin cites is urban sensor networks, which allow city governments to monitor the movements and statuses of individuals, materials, and structures throughout the urban environment by analyzing real-time data.

With the huge amount of streaming data collected by smart infrastructure, many city governments use real-time analysis to manage different aspects of city operations. There has been a recent trend in centralizing data streams into a single hub, integrating all kinds of surveillance and analytics. These one-stop data centers make it easier for analysts to cross-reference data, spot patterns, identify problems, and allocate resources. The data are also often accessible by field workers via operations platforms. In London and some other cities, real-time data are visualized on “city dashboards” and communicated to citizens, providing convenient access to city information.

However, the real-time city is not a flawless solution to all the problems faced by city managers. The primary concern is the politics of big, urban data. Although raw data are often perceived as neutral and objective, no data are free of bias; the collection of data is a subjective process that can be shaped by various confounding factors. The presentation of data can also be manipulated to answer a specific question or enact a particular political vision….(More)”

Technology is a new kind of lifeline for refugees


Marketplace: “Imagine you’re a refugee leaving home for good. You’ll need help. But what you ask for today is much different than it would have been just 10 years ago.

“What people are demanding, more and more, is not classic food, shelter, water, healthcare, but they demand wifi,” said Melita Šunjić, a spokesperson for the United Nations High Commissioner for Refugees.

Šunjić began her work with Syrian refugees in camps in Amman, Jordan. Many were from rural areas with basic cell phones.

“The refugees we’re looking at now, who are coming to Europe – this is a completely different story,” Šunjić said. “They are middle class, urban people. Practically each family has at least one smart phone. We calculated that in each group of 20, they would have three smart phones.”

Refugees use their phones to call home and to map their routes. Even smugglers have their own Facebook pages.

“I don’t remember a crisis or refugee group where modern technology played such a role,” Šunjić said.

As refugees from Syria continue to flow into Europe, aid organizations are gearing up for what promises to be a difficult winter.

Emily Eros, ‎a GIS mapping officer with the American Red Cross, said her organization is working on the basics like providing food, water and shelter, but it’s also helping refugees stay connected. “It’s a little bit difficult because it’s not just a matter of getting a wifi station up, it’s also a matter of having someone there who’s able to fix it if something goes wrong,” she said. …(More)”

Robots Will Make Leeds the First Self-Repairing City


Emiko Jozuka at Motherboard: “Researchers in Britain want to make the first “self-repairing” city by 2035. How will they do this? By creating autonomous repair robots that patrol the streets and drainage systems, making sure your car doesn’t dip into a pothole, and that you don’t experience any gas leaks.

“The idea is to create a city that behaves almost like a living organism,” said Raul Fuentes, a researcher at the School of Civil Engineering at Leeds University, who is working on the project. “The robots will act like white cells that are able to identify bacteria or viruses and attack them. It’s kind of like an immune system.”

The £4.2 million ($6.4 million) national infrastructure project is in collaboration with Leeds City Council and the UK Collaboration for Research in Infrastructures and Cities (UKCRIC). The aim is to create a fleet of robot repair workers who will live in Leeds city, spot problems, and sort them out before they become even bigger ones by 2035, said Fuentes. The project is set to launch officially in January 2016, he added.

For their five-year project—which has a vision that extends until 2050—the researchers will develop robot designs and technologies that focus on three main areas. The first is to create drones that can perch on high structures and repair things like street lamps; the second is to develop drones that can autonomously spot when a pothole is about to form and zone in and patch that up before it worsens; and the third is to develop robots that will live in utility pipes so they can inspect, repair, and report back to humans when they spot an issue.

“The robots will be living permanently in the city, and they’ll be able to identify issues before they become real problems,” explained Fuentes. The researchers are working on making the robots autonomous, and want them to be living in swarms or packs where they can communicate with one another on how best they could get the repair job done….(More)

Push, Pull, and Spill: A Transdisciplinary Case Study in Municipal Open Government


Paper by Jan Whittington et al: “Cities hold considerable information, including details about the daily lives of residents and employees, maps of critical infrastructure, and records of the officials’ internal deliberations. Cities are beginning to realize that this data has economic and other value: If done wisely, the responsible release of city information can also release greater efficiency and innovation in the public and private sector. New services are cropping up that leverage open city data to great effect.

Meanwhile, activist groups and individual residents are placing increasing pressure on state and local government to be more transparent and accountable, even as others sound an alarm over the privacy issues that inevitably attend greater data promiscuity. This takes the form of political pressure to release more information, as well as increased requests for information under the many public records acts across the country.

The result of these forces is that cities are beginning to open their data as never before. It turns out there is surprisingly little research to date into the important and growing area of municipal open data. This article is among the first sustained, cross-disciplinary assessments of an open municipal government system. We are a team of researchers in law, computer science, information science, and urban studies. We have worked hand-in-hand with the City of Seattle, Washington for the better part of a year to understand its current procedures from each disciplinary perspective. Based on this empirical work, we generate a set of recommendations to help the city manage risk latent in opening its data….(More)”