Online Tools Every Community Should Use

Curated on Posted on by Stefaan Verhulst

at NationSwell: “Larger cities like Chicago, San Francisco and New York continue to innovate civic technology and bridge the divide between citizens and government, while this progress is leaving small communities behind.
Without digital tools, staff or infrastructure in place to bring basic services online, small local governments and their citizens are suffering from a digital divide. But one Silicon Valley mind is determined to break that barrier and help smaller cities understand how they can join the digital movement…any civic technology should include the following eight tools:
Bullets: Crime-related data that give residents a sense of how safety is handled in the city.
Examples: CrimeAround.Us, Crime in Chicago, Oakland Crimespotting
Bills: Providing citizens with more transparency around legislative data.
Examples: OpenGov’s AmericaDecoded, MySociety’s SayIt, Councilmatic
Budget: Making public finances and city spending available online.
Examples: OpenGov.com, OpenSpending, Look at Cook
Buses: Transportation tools to help residents with schedules, planning, etc.
Examples: OpenTripPlanner, OneBusAway
Data: Open, organized, municipal information.
Examples: Socrata, NuData, CKAN, OpenDataCatalog, Junar
411: An online information hotline used in the same regard as the phone version.
Examples: CityAnswers, MindMixer, OSQA
311: Non-emergency online assistance including reporting things like road repairs.
Examples: SeeClickFix, PublicStuff, Connected Bits, Service Tracker, Open311Mobile
211:  A social services hotline for services including health, jobs training and housing.
Examples: Aunt Bertha, Purple Binder, Connect Chicago
“The opportunity is that we have the chance to take all of these components that are being built as open-source tools and turn them into companies that offer them to cities as hosted platforms,” Nemani told Next City. “Even a 10-person shop can put in a credit card number and pay a hundred dollars a month for one of these tools.”
While Nemani admits each city will be different — some places are too small for transportation components — working towards a template is critical to make civic technology accessible for everyone. But by focusing on these eight tools, any town is off to a great start….”

Meet the UK start-ups changing the world with open data

Curated on Posted on by Stefaan Verhulst
Sophie Curtis in The Telegraph: “Data is more accessible today than anyone could have imagined 10 or 20 years ago. From corporate databases to social media and embedded sensors, data is exploding, with total worldwide volume expected to reach 6.6 zettabytes by 2020.
Open data is information that is available for anyone to use, for any purpose, at no cost. For example, the Department for Education publishes open data about the performance of schools in England, so that companies can create league tables and citizens can find the best-performing schools in their catchment area.
Governments worldwide are working to open up more of their data. Since January 2010, more than 18,500 UK government data sets have been released via the data.gov.uk web portal, creating new opportunities for organisations to build innovative digital services.
Businesses are also starting to realise the value of making their non-personal data freely available, with open innovation leading to the creation products and services that they can benefit from….

Now a range of UK start-ups are working with the ODI to build businesses using open data, and have already unlocked a total of £2.5 million worth of investments and contracts.
Mastodon C joined the ODI start-up programme at its inception in December 2012. Shortly after joining, the company teamed up with Ben Goldacre and Open Healthcare UK, and embarked on a project investigating the use of branded statins over the far cheaper generic versions.
The data analysis identified potential efficiency savings to the NHS of £200 million. The company is now also working with the Technology Strategy Board and Nesta to help them gain better insight into their data.
Another start-up, CarbonCulture is a community platform designed to help people use resources more efficiently. The company uses high-tech metering to monitor carbon use in the workplace and help clients save money.
Organisations such as 10 Downing Street, Tate, Cardiff Council, the GLA and the UK Parliament are using the company’s digital tools to monitor and improve their energy consumption. CarbonCulture has also helped the Department of Energy and Climate Change reduce its gas use by 10 per cent.
Spend Network’s business is built on collecting the spend statements and tender documents published by government in the UK and Europe and then publishing this data openly so that anyone can use it. The company currently hosts over £1.2 trillion of transactions from the UK and over 1.8 million tenders from across Europe.
One of the company’s major breakthroughs was creating the first national, open spend analysis for central and local government. This was used to uncover a 45 per cent delay in the UK’s tendering process, holding up £22 billion of government funds to the economy.
Meanwhile, TransportAPI uses open data feeds from Traveline, Network Rail and Transport for London to provide nationwide timetables, departure and infrastructure information across all modes of public transport.
TransportAPI currently has 700 developers and organisations signed up to its platform, including individual taxpayers and public sector organisations like universities and local authorities. Travel portals, hyperlocal sites and business analytics are also integrating features, such as the ‘nearest transport’ widget, into their websites.
These are just four examples of how start-ups are using open data to create new digital services. The ODI this week announced seven new open data start-ups joining the programme, covering 3D printed learning materials, helping disabled communities, renewable energy markets, and smart cities….”

Is Crowdsourcing the Future for Legislation?

Curated on Posted on by Stefaan Verhulst

Brian Heaton in GovTech: “…While drafting legislation is traditionally the job of elected officials, an increasing number of lawmakers are using digital platforms such as Wikispaces and GitHub to give constituents a bigger hand in molding the laws they’ll be governed by. The practice has been used this year in both California and New York City, and shows no signs of slowing down anytime soon, experts say.
Trond Undheim, crowdsourcing expert and founder of Yegii Inc., a startup company that provides and ranks advanced knowledge assets in the areas of health care, technology, energy and finance, said crowdsourcing was “certainly viable” as a tool to help legislators understand what constituents are most passionate about.
“I’m a big believer in asking a wide variety of people the same question and crowdsourcing has become known as the long-tail of answers,” Undheim said. “People you wouldn’t necessarily think of have something useful to say.”
California Assemblyman Mike Gatto, D-Los Angeles, agreed. He’s spearheaded an effort this year to let residents craft legislation regarding probate law — a measure designed to allow a court to assign a guardian to a deceased person’s pet. Gatto used the online Wikispaces platform — which allows for Wikipedia-style editing and content contribution — to let anyone with an Internet connection collaborate on the legislation over a period of several months.
The topic of the bill may not have been headline news, but Gatto was encouraged by the media attention his experiment received. As a result, he’s committed to running another crowdsourced bill next year — just on a bigger, more mainstream public issue.
New York City Council Member Ben Kallos has a plethora of technology-related legislation being considered in the Big Apple. Many of the bills are open for public comment and editing on GitHub. In an interview with Government Technology last month, Kallos said he believes using crowdsourcing to comment on and edit legislation is empowering and creates a different sense of democracy where people can put forward their ideas.
County governments also are joining the crowdsourcing trend. The Catawba Regional Council of Governments in South Carolina and the Centralia Council of Governments in North Carolina are gathering opinions on how county leaders should plan for future growth in the region.
At a public forum earlier this year, attendees were given iPads to go online and review four growth options and record their views on which they preferred. The priorities outlined by citizens will be taken back to decision-makers in each of the counties to see how well existing plans match up with what the public wants.
Gatto said he’s encouraged by how quickly the crowdsourcing of policy has spread throughout the U.S. He said there’s a disconnect between governments and their constituencies who believe elected officials don’t listen. But that could change as crowdsourcing continues to make its impact on lawmakers.
“When you put out a call like I did and others have done and say ‘I’m going to let the public draft a law and whatever you draft, I’m committed to introducing it … I think that’s a powerful message,” Gatto said. “I think the public appreciates it because it makes them understand that the government still belongs to them.”

Protecting the Process

Despite the benefits crowdsourcing brings to the legislative process, there remain some question marks about whether it truly provides insight into the public’s feelings on an issue. For example, because many political issues are driven by the influence of special interest groups, what’s preventing those groups from manipulating the bill-drafting process?
Not much, according to Undheim. He cautioned policymakers to be aware of the motivations from people taking part in crowdsourcing efforts to write and edit laws. Gatto shared Undheim’s concerns, but noted that the platform he used for developing his probate law – Wikispaces – has safeguards in place so that a member of his staff can revert language of a crowdsourced bill back to a previous version if it’s determined that someone was trying to unduly influence the drafting process….”

Smart cities from scratch? a socio-technical perspective

Curated on Posted on by Stefaan Verhulst

Paper by Luís Carvalho in Cambridge Journal of Regions, Economy and Society: “This paper argues that contemporary smart city visions based on ITs (information and tele- communication technologies) configure complex socio-technical challenges that can benefit from strategic niche management to foster two key processes: technological learning and societal embedding. Moreover, it studies the extent to which those processes started to unfold in two paradigmatic cases of smart city pilots ‘from scratch’: Songdo (South Korea) and PlanIT Valley (Portugal). The rationale and potentials of the two pilots as arenas for socio-technical experimentation and global niche formation are analysed, as well as the tensions and bottlenecks involved in nurturing socially rich innovation ecosystems and in maintaining social and political support over time.”

Want to Brainstorm New Ideas? Then Limit Your Online Connections

Curated on Posted on by Stefaan Verhulst

Steve Lohr in the New York Times: “The digitally connected life is both invaluable and inevitable.

Anyone who has the slightest doubt need only walk down the sidewalk of any city street filled with people checking their smartphones for text messages, tweets, news alerts or weather reports or any number of things. So glued to their screens, they run into people or create pedestrian traffic jams.

Just when all the connectedness is useful and when it’s not is often difficult to say. But a recent research paper, published on the Social Science Research Network, titled “Facts and Figuring,” sheds some light on that question.

The research involved customizing a Pentagon lab program for measuring collaboration and information-sharing — a whodunit game, in which the subjects sitting at computers search for clues and solutions to figure out the who, what, when and where of a hypothetical terrorist attack.

The 417 subjects, played more than 1,100 rounds of the 25-minute web-based game, and they were mostly students from the Boston area, selected from the pool of volunteers in the Harvard Decision Science Laboratory and Harvard Business School’s Computer Lab for Experimental Research.

They could share clues and solutions. But the study was designed to measure the results from different network structures — densely clustered networks and unclustered networks of communication. Problem solving, the researchers write, involves “both search for information and search for solutions.” They found that “clustering promotes exploration in information space, but decreases exploration in solution space.”

In looking for unique facts or clues, clustering helped since members of the dense communications networks effectively split up the work and redundant facts were quickly weeded out, making them five percent more efficient. But the number of unique theories or solutions was 17.5 percent higher among subjects who were not densely connected. Clustering reduced the diversity of ideas.

The research paper, said Jesse Shore, a co-author and assistant professor at the Boston University School of Management, contributes to “the growing awareness that being connected all the time has costs. And we put a number to it, in an experimental setting.”

The research, of course, also showed where the connection paid off — finding information, the vital first step in decision making. “There are huge, huge benefits to information sharing,” said Ethan Bernstein, a co-author and assistant professor at the Harvard Business School. “But the costs are harder to measure.”…

Urban Analytics (Updated and Expanded)

Curated on Posted on by Andrew Young

As part of an ongoing effort to build a knowledge base for the field of opening governance by organizing and disseminating its learnings, the GovLab Selected Readings series provides an annotated and curated collection of recommended works on key opening governance topics. In this edition, we explore the literature on Urban Analytics. To suggest additional readings on this or any other topic, please email [email protected].

Data and its uses for Governance

Urban Analytics places better information in the hands of citizens as well as government officials to empower people to make more informed choices. Today, we are able to gather real-time information about traffic, pollution, noise, and environmental and safety conditions by culling data from a range of tools: from the low-cost sensors in mobile phones to more robust monitoring tools installed in our environment. With data collected and combined from the built, natural and human environments, we can develop more robust predictive models and use those models to make policy smarter.

With the computing power to transmit and store the data from these sensors, and the tools to translate raw data into meaningful visualizations, we can identify problems as they happen, design new strategies for city management, and target the application of scarce resources where they are most needed.

Selected Reading List (in alphabetical order)

Annotated Selected Reading List (in alphabetical order)
Amini, L., E. Bouillet, F. Calabrese, L. Gasparini, and O. Verscheure. “Challenges and Results in City-scale Sensing.” In IEEE Sensors, 59–61, 2011. http://bit.ly/1doodZm.

  • This paper examines “how city requirements map to research challenges in machine learning, optimization, control, visualization, and semantic analysis.”
  • The authors raises several research challenges including how to extract accurate information when the data is noisy and sparse; how to represent findings from digital pervasive technologies; and how people interact with one another and their environment.

Batty, M., K. W. Axhausen, F. Giannotti, A. Pozdnoukhov, A. Bazzani, M. Wachowicz, G. Ouzounis, and Y. Portugali. “Smart Cities of the Future.” The European Physical Journal Special Topics 214, no. 1 (November 1, 2012): 481–518. http://bit.ly/HefbjZ.

  • This paper explores the goals and research challenges involved in the development of smart cities that merge ICT with traditional infrastructures through digital technologies.
  • The authors put forth several research objectives, including: 1) to explore the notion of the city as a laboratory for innovation; 2) to develop technologies that ensure equity, fairness and realize a better quality of city life; and 3) to develop technologies that ensure informed participation and create shared knowledge for democratic city governance.
  • The paper also examines several contemporary smart city initiatives, expected paradigm shifts in the field, benefits, risks and impacts.

Budde, Paul. “Smart Cities of Tomorrow.” In Cities for Smart Environmental and Energy Futures, edited by Stamatina Th Rassia and Panos M. Pardalos, 9–20. Energy Systems. Springer Berlin Heidelberg, 2014. http://bit.ly/17MqPZW.

  • This paper examines the components and strategies involved in the creation of smart cities featuring “cohesive and open telecommunication and software architecture.”
  • In their study of smart cities, the authors examine smart and renewable energy; next-generation networks; smart buildings; smart transport; and smart government.
  • They conclude that for the development of smart cities, information and communication technology (ICT) is needed to build more horizontal collaborative structures, useful data must be analyzed in real time and people and/or machines must be able to make instant decisions related to social and urban life.

Cardone, G., L. Foschini, P. Bellavista, A. Corradi, C. Borcea, M. Talasila, and R. Curtmola. “Fostering Participaction in Smart Cities: a Geo-social Crowdsensing Platform.” IEEE Communications
Magazine 51, no. 6 (2013): 112–119. http://bit.ly/17iJ0vZ.

  • This article examines “how and to what extent the power of collective although imprecise intelligence can be employed in smart cities.”
  • To tackle problems of managing the crowdsensing process, this article proposes a “crowdsensing platform with three main original technical aspects: an innovative geo-social model to profile users along different variables, such as time, location, social interaction, service usage, and human activities; a matching algorithm to autonomously choose people to involve in participActions and to quantify the performance of their sensing; and a new Android-based platform to collect sensing data from smart phones, automatically or with user help, and to deliver sensing/actuation tasks to users.”

Chen, Chien-Chu. “The Trend towards ‘Smart Cities.’” International Journal of Automation and Smart Technology. June 1, 2014. http://bit.ly/1jOOaAg.

  • In this study, Chen explores the ambitions, prevalence and outcomes of a variety of smart cities, organized into five categories:
    • Transportation-focused smart cities
    • Energy-focused smart cities
    • Building-focused smart cities
    • Water-resources-focused smart cities
    • Governance-focused smart cities
  • The study finds that the “Asia Pacific region accounts for the largest share of all smart city development plans worldwide, with 51% of the global total. Smart city development plans in the Asia Pacific region tend to be energy-focused smart city initiatives, aimed at easing the pressure on energy resources that will be caused by continuing rapid urbanization in the future.”
  • North America, on the other hand is generally more geared toward energy-focused smart city development plans. “In North America, there has been a major drive to introduce smart meters and smart electric power grids, integrating the electric power sector with information and communications technology (ICT) and replacing obsolete electric power infrastructure, so as to make cities’ electric power systems more reliable (which in turn can help to boost private-sector investment, stimulate the growth of the ‘green energy’ industry, and create more job opportunities).”
  • Looking to Taiwan as an example, Chen argues that, “Cities in different parts of the world face different problems and challenges when it comes to urban development, making it necessary to utilize technology applications from different fields to solve the unique problems that each individual city has to overcome; the emphasis here is on the development of customized solutions for smart city development.”

Domingo, A., B. Bellalta, M. Palacin, M. Oliver and E. Almirall. “Public Open Sensor Data: Revolutionizing Smart Cities.” Technology and Society Magazine, IEEE 32, No. 4. Winter 2013. http://bit.ly/1iH6ekU.

  • In this article, the authors explore the “enormous amount of information collected by sensor devices” that allows for “the automation of several real-time services to improve city management by using intelligent traffic-light patterns during rush hour, reducing water consumption in parks, or efficiently routing garbage collection trucks throughout the city.”
  • They argue that, “To achieve the goal of sharing and open data to the public, some technical expertise on the part of citizens will be required. A real environment – or platform – will be needed to achieve this goal.” They go on to introduce a variety of “technical challenges and considerations involved in building an Open Sensor Data platform,” including:
    • Scalability
    • Reliability
    • Low latency
    • Standardized formats
    • Standardized connectivity
  • The authors conclude that, despite incredible advancements in urban analytics and open sensing in recent years, “Today, we can only imagine the revolution in Open Data as an introduction to a real-time world mashup with temperature, humidity, CO2 emission, transport, tourism attractions, events, water and gas consumption, politics decisions, emergencies, etc., and all of this interacting with us to help improve the future decisions we make in our public and private lives.”

Harrison, C., B. Eckman, R. Hamilton, P. Hartswick, J. Kalagnanam, J. Paraszczak, and P. Williams. “Foundations for Smarter Cities.” IBM Journal of Research and Development 54, no. 4 (2010): 1–16. http://bit.ly/1iha6CR.

  • This paper describes the information technology (IT) foundation and principles for Smarter Cities.
  • The authors introduce three foundational concepts of smarter cities: instrumented, interconnected and intelligent.
  • They also describe some of the major needs of contemporary cities, and concludes that Creating the Smarter City implies capturing and accelerating flows of information both vertically and horizontally.

Hernández-Muñoz, José M., Jesús Bernat Vercher, Luis Muñoz, José A. Galache, Mirko Presser, Luis A. Hernández Gómez, and Jan Pettersson. “Smart Cities at the Forefront of the Future Internet.” In The Future Internet, edited by John Domingue, Alex Galis, Anastasius Gavras, Theodore Zahariadis, Dave Lambert, Frances Cleary, Petros Daras, et al., 447–462. Lecture Notes in Computer Science 6656. Springer Berlin Heidelberg, 2011. http://bit.ly/HhNbMX.

  • This paper explores how the “Internet of Things (IoT) and Internet of Services (IoS), can become building blocks to progress towards a unified urban-scale ICT platform transforming a Smart City into an open innovation platform.”
  • The authors examine the SmartSantander project to argue that, “the different stakeholders involved in the smart city business is so big that many non-technical constraints must be considered (users, public administrations, vendors, etc.).”
  • The authors also discuss the need for infrastructures at the, for instance, European level for realistic large-scale experimentally-driven research.

Hoon-Lee, Jung, Marguerite Gong Hancock, Mei-Chih Hu. “Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco.” Technological Forecasting and Social Change. Ocotober 3, 2013. http://bit.ly/1rzID5v.

  • In this study, the authors aim to “shed light on the process of building an effective smart city by integrating various practical perspectives with a consideration of smart city characteristics taken from the literature.”
  • They propose a conceptual framework based on case studies from Seoul and San Francisco built around the following dimensions:
    • Urban openness
    • Service innovation
    • Partnerships formation
    • Urban proactiveness
    • Smart city infrastructure integration
    • Smart city governance
  • The authors conclude with a summary of research findings featuring “8 stylized facts”:
    • Movement towards more interactive services engaging citizens;
    • Open data movement facilitates open innovation;
    • Diversifying service development: exploit or explore?
    • How to accelerate adoption: top-down public driven vs. bottom-up market driven partnerships;
    • Advanced intelligent technology supports new value-added smart city services;
    • Smart city services combined with robust incentive systems empower engagement;
    • Multiple device & network accessibility can create network effects for smart city services;
    • Centralized leadership implementing a comprehensive strategy boosts smart initiatives.

Kamel Boulos, Maged N. and Najeeb M. Al-Shorbaji. “On the Internet of Things, smart cities and the WHO Healthy Cities.” International Journal of Health Geographics 13, No. 10. 2014. http://bit.ly/Tkt9GA.

  • In this article, the authors give a “brief overview of the Internet of Things (IoT) for cities, offering examples of IoT-powered 21st century smart cities, including the experience of the Spanish city of Barcelona in implementing its own IoT-driven services to improve the quality of life of its people through measures that promote an eco-friendly, sustainable environment.”
  • The authors argue that one of the central needs for harnessing the power of the IoT and urban analytics is for cities to “involve and engage its stakeholders from a very early stage (city officials at all levels, as well as citizens), and to secure their support by raising awareness and educating them about smart city technologies, the associated benefits, and the likely challenges that will need to be overcome (such as privacy issues).”
  • They conclude that, “The Internet of Things is rapidly gaining a central place as key enabler of the smarter cities of today and the future. Such cities also stand better chances of becoming healthier cities.”

Keller, Sallie Ann, Steven E. Koonin, and Stephanie Shipp. “Big Data and City Living – What Can It Do for Us?” Significance 9, no. 4 (2012): 4–7. http://bit.ly/166W3NP.

  • This article provides a short introduction to Big Data, its importance, and the ways in which it is transforming cities. After an overview of the social benefits of big data in an urban context, the article examines its challenges, such as privacy concerns and institutional barriers.
  • The authors recommend that new approaches to making data available for research are needed that do not violate the privacy of entities included in the datasets. They believe that balancing privacy and accessibility issues will require new government regulations and incentives.

Kitchin, Rob. “The Real-Time City? Big Data and Smart Urbanism.” SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, July 3, 2013. http://bit.ly/1aamZj2.

  • This paper focuses on “how cities are being instrumented with digital devices and infrastructure that produce ‘big data’ which enable real-time analysis of city life, new modes of technocratic urban governance, and a re-imagining of cities.”
  • The authors provide “a number of projects that seek to produce a real-time analysis of the city and provides a critical reflection on the implications of big data and smart urbanism.”

Mostashari, A., F. Arnold, M. Maurer, and J. Wade. “Citizens as Sensors: The Cognitive City Paradigm.” In 2011 8th International Conference Expo on Emerging Technologies for a Smarter World (CEWIT), 1–5, 2011. http://bit.ly/1fYe9an.

  • This paper argues that. “implementing sensor networks are a necessary but not sufficient approach to improving urban living.”
  • The authors introduce the concept of the “Cognitive City” – a city that can not only operate more efficiently due to networked architecture, but can also learn to improve its service conditions, by planning, deciding and acting on perceived conditions.
  • Based on this conceptualization of a smart city as a cognitive city, the authors propose “an architectural process approach that allows city decision-makers and service providers to integrate cognition into urban processes.”

Oliver, M., M. Palacin, A. Domingo, and V. Valls. “Sensor Information Fueling Open Data.” In Computer Software and Applications Conference Workshops (COMPSACW), 2012 IEEE 36th Annual, 116–121, 2012. http://bit.ly/HjV4jS.

  • This paper introduces the concept of sensor networks as a key component in the smart cities framework, and shows how real-time data provided by different city network sensors enrich Open Data portals and require a new architecture to deal with massive amounts of continuously flowing information.
  • The authors’ main conclusion is that by providing a framework to build new applications and services using public static and dynamic data that promote innovation, a real-time open sensor network data platform can have several positive effects for citizens.

Perera, Charith, Arkady Zaslavsky, Peter Christen and Dimitrios Georgakopoulos. “Sensing as a service model for smart cities supported by Internet of Things.” Transactions on Emerging Telecommunications Technologies 25, Issue 1. January 2014. http://bit.ly/1qJLDP9.

  • This paper looks into the “enormous pressure towards efficient city management” that has “triggered various Smart City initiatives by both government and private sector businesses to invest in information and communication technologies to find sustainable solutions to the growing issues.”
  • The authors explore the parallel advancement of the Internet of Things (IoT), which “envisions to connect billions of sensors to the Internet and expects to use them for efficient and effective resource management in Smart Cities.”
  • The paper proposes the sensing as a service model “as a solution based on IoT infrastructure.” The sensing as a service model consists of four conceptual layers: “(i) sensors and sensor owners; (ii) sensor publishers (SPs); (iii) extended service providers (ESPs); and (iv) sensor data consumers. They go on to describe how this model would work in the areas of waste management, smart agriculture and environmental management.

Privacy, Big Data, and the Public Good: Frameworks for Engagement. Edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum; Cambridge University Press, 2014. http://bit.ly/UoGRca.

  • This book focuses on the legal, practical, and statistical approaches for maximizing the use of massive datasets while minimizing information risk.
  • “Big data” is more than a straightforward change in technology.  It poses deep challenges to our traditions of notice and consent as tools for managing privacy.  Because our new tools of data science can make it all but impossible to guarantee anonymity in the future, the authors question whether it possible to truly give informed consent, when we cannot, by definition, know what the risks are from revealing personal data either for individuals or for society as a whole.
  • Based on their experience building large data collections, authors discuss some of the best practical ways to provide access while protecting confidentiality.  What have we learned about effective engineered controls?  About effective access policies?  About designing data systems that reinforce – rather than counter – access policies?  They also explore the business, legal, and technical standards necessary for a new deal on data.
  • Since the data generating process or the data collection process is not necessarily well understood for big data streams, authors discuss what statistics can tell us about how to make greatest scientific use of this data. They also explore the shortcomings of current disclosure limitation approaches and whether we can quantify the extent of privacy loss.

Schaffers, Hans, Nicos Komninos, Marc Pallot, Brigitte Trousse, Michael Nilsson, and Alvaro Oliveira. “Smart Cities and the Future Internet: Towards Cooperation Frameworks for Open Innovation.” In The Future Internet, edited by John Domingue, Alex Galis, Anastasius Gavras, Theodore Zahariadis, Dave Lambert, Frances Cleary, Petros Daras, et al., 431–446. Lecture Notes in Computer Science 6656. Springer Berlin Heidelberg, 2011. http://bit.ly/16ytKoT.

  • This paper “explores ‘smart cities’ as environments of open and user-driven innovation for experimenting and validating Future Internet-enabled services.”
  • The authors examine several smart city projects to illustrate the central role of users in defining smart services and the importance of participation. They argue that, “Two different layers of collaboration can be distinguished. The first layer is collaboration within the innovation process. The second layer concerns collaboration at the territorial level, driven by urban and regional development policies aiming at strengthening the urban innovation systems through creating effective conditions for sustainable innovation.”

Suciu, G., A. Vulpe, S. Halunga, O. Fratu, G. Todoran, and V. Suciu. “Smart Cities Built on Resilient Cloud Computing and Secure Internet of Things.” In 2013 19th International Conference on Control Systems and Computer Science (CSCS), 513–518, 2013. http://bit.ly/16wfNgv.

  • This paper proposes “a new platform for using cloud computing capacities for provision and support of ubiquitous connectivity and real-time applications and services for smart cities’ needs.”
  • The authors present a “framework for data procured from highly distributed, heterogeneous, decentralized, real and virtual devices (sensors, actuators, smart devices) that can be automatically managed, analyzed and controlled by distributed cloud-based services.”

Townsend, Anthony. Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia. W. W. Norton & Company, 2013.

  • In this book, Townsend illustrates how “cities worldwide are deploying technology to address both the timeless challenges of government and the mounting problems posed by human settlements of previously unimaginable size and complexity.”
  • He also considers “the motivations, aspirations, and shortcomings” of the many stakeholders involved in the development of smart cities, and poses a new civics to guide these efforts.
  • He argues that smart cities are not made smart by various, soon-to-be-obsolete technologies built into its infrastructure, but how citizens use these ever-changing technologies to be “human-centered, inclusive and resilient.”

To stay current on recent writings and developments on Urban Analytics, please subscribe to the GovLab Digest.
Did we miss anything? Please submit reading recommendations to [email protected] or in the comments below.

Predicting crime, LAPD-style

Curated on Posted on by Stefaan Verhulst

The Guardian: “The Los Angeles Police Department, like many urban police forces today, is both heavily armed and thoroughly computerised. The Real-Time Analysis and Critical Response Division in downtown LA is its central processor. Rows of crime analysts and technologists sit before a wall covered in video screens stretching more than 10 metres wide. Multiple news broadcasts are playing simultaneously, and a real-time earthquake map is tracking the region’s seismic activity. Half-a-dozen security cameras are focused on the Hollywood sign, the city’s icon. In the centre of this video menagerie is an oversized satellite map showing some of the most recent arrests made across the city – a couple of burglaries, a few assaults, a shooting.

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On a slightly smaller screen the division’s top official, Captain John Romero, mans the keyboard and zooms in on a comparably micro-scale section of LA. It represents just 500 feet by 500 feet. Over the past six months, this sub-block section of the city has seen three vehicle burglaries and two property burglaries – an atypical concentration. And, according to a new algorithm crunching crime numbers in LA and dozens of other cities worldwide, it’s a sign that yet more crime is likely to occur right here in this tiny pocket of the city.
The algorithm at play is performing what’s commonly referred to as predictive policing. Using years – and sometimes decades – worth of crime reports, the algorithm analyses the data to identify areas with high probabilities for certain types of crime, placing little red boxes on maps of the city that are streamed into patrol cars. “Burglars tend to be territorial, so once they find a neighbourhood where they get good stuff, they come back again and again,” Romero says. “And that assists the algorithm in placing the boxes.”
Romero likens the process to an amateur fisherman using a fish finder device to help identify where fish are in a lake. An experienced fisherman would probably know where to look simply by the fish species, time of day, and so on. “Similarly, a really good officer would be able to go out and find these boxes. This kind of makes the average guys’ ability to find the crime a little bit better.”
Predictive policing is just one tool in this new, tech-enhanced and data-fortified era of fighting and preventing crime. As the ability to collect, store and analyse data becomes cheaper and easier, law enforcement agencies all over the world are adopting techniques that harness the potential of technology to provide more and better information. But while these new tools have been welcomed by law enforcement agencies, they’re raising concerns about privacy, surveillance and how much power should be given over to computer algorithms.
P Jeffrey Brantingham is a professor of anthropology at UCLA who helped develop the predictive policing system that is now licensed to dozens of police departments under the brand name PredPol. “This is not Minority Report,” he’s quick to say, referring to the science-fiction story often associated with PredPol’s technique and proprietary algorithm. “Minority Report is about predicting who will commit a crime before they commit it. This is about predicting where and when crime is most likely to occur, not who will commit it.”…”

The Impact of Open: Keeping you healthy

Curated on Posted on by Stefaan Verhulst

of Sunlight: “In healthcare, the goal-set shared widely throughout the field is known as “the Triple Aim”: improving individual experience of care, improving population health, and reducing the cost of care. Across the wide array of initiatives undertaken by health care data users, the great majority seem to fall within the scope of at least one aspect of the Triple Aim. Below is a set of examples that reveal how data — both open and not — is being used to achieve its elements.

The use of open data to reduce costs:

The use of open data to improve quality of care:

  • Using open data on a substantial series of individual hospital quality measures, CMS created a hospital comparison tool that allows consumers to compare average quality of care outcomes across their local hospitals.

  • Non-profit organizations survey hospitals and have used this data to provide another national measure of hospital quality that consumers can use to select a high-quality hospital.

  • In New York state, widely-shared data on cardiac surgery outcomes associated with individual providers has led to improved outcomes and better understanding of successful techniques.

  • In the UK, the National Health Service is actively working towards defining concrete metrics to evaluate how the system as a whole is moving towards improved quality. …

  • The broad cultural shift towards data-sharing in healthcare appears to have facilitated additional secured sharing in order to achieve the joint goal of improving healthcare quality and effectiveness. The current effort to securely network of millions of patient data records through the federal PCORI system has the potential to advance understanding of disease treatment at an unprecedented pace.

  • Through third-party tools, people are able to use the products of aggregated patient data in order to begin diagnosing their own symptoms more accurately, giving them a head start in understanding how to optimize their visit to a provider.

The use of open data to improve population health:

  • Out of the three elements of the triple aim, population health may have the longest and deepest relationship with open data. Public datasets like those collected by the Centers for Disease Control and the US Census have for decades been used to monitor disease prevalence, verify access to health insurance, and track mortality and morbidity statistics.

  • Population health improvement has been a major focus for newer developments as well. Health data has been a regular feature in tech efforts to improve the ways that governments — including local health departments — reach their constituencies. The use of data in new communication tools improves population health by increasing population awareness of local health trends and disease prevention opportunities. Two examples of this work in action include the Chicago Health Atlas, which combines health data and healthcare consumer problem-solving, and Philadelphia’s map interface to city data about available flu vaccines.

One final observation for open data advocates to take from health data concerns the way that the sector encourages the two-way information flow: it embraces the notion that data users can also be data producers. Open data ecosystems are properly characterized by multi-directional relationships among governmental and non-governmental actors, with opportunities for feedback, correction and augmentation of open datasets. That this happens at the scale of health data is important and meaningful for open data advocates who can face push-back when they ask their governments to ingest externally-generated data….”

15 Ways to bring Civic Innovation to your City

Curated on Posted on by Stefaan Verhulst

Chris Moore at AcuitasGov: “In my previous blog post I wrote about a desire to see our Governments transform to be part of the  21st century.  I saw a recent reference to how governments across Canada have lost their global leadership, how government in Canada at all levels is providing analog services to a digital society.  I couldn’t agree more.  I have been thinking lately about some practical ways that Mayors and City Managers could innovate in their communities.  I realize that there are a number of municipal elections happening this fall across Canada, a time when leadership changes and new ideas emerge.  So this blog is also for Mayoral candidates who have a sense that technology and innovation have a role to play in their city and in their administration.
I thought I would identify 15 initiatives that cities could pursue as part of their Civic Innovation Strategy.   For the last 50 years technology in local government in Canada has been viewed as an expense, as a necessary evil, not always understood by elected officials and senior administrators.  Information and Technology is part of every aspect of a city, it is critical in delivering services.  It is time to not just think of this as an expense but as an investment, as a way to innovate, reduce costs, enhance citizen service delivery and transform government operations.
Here are my top 15 ways to bring Civic Innovation to your city:
1. Build 21st Century Digital Infrastructure like the Chattanooga Gig City Project.
2. Build WiFi networks like the City of Edmonton on your own and in partnership with others.
3. Provide technology and internet to children and youth in need like the City of Toronto.
4. Connect to a national Education and Research network like Cybera in Alberta and CANARIE.
5. Create a Mayors Task-force on Innovation and Technology leveraging your city’s resources.
6. Run a hackathon or two or three like the City of Glasgow or maybe host a hacking health event like the City of Vancouver.
7. Launch a Startup incubator like Startup Edmonton or take it to the next level and create a civic lab like the City of Barcelona.
8. Develop an Open Government Strategy, I like to the Open City Strategy from Edmonton.
9. If Open Government is too much then just start with Open Data, Edmonton has one of the best.
10. Build a Citizen Dashboard to showcase your cities services and commitment to the public.
11. Put your Crime data online like the Edmonton Police Service.
12. Consider a pilot project with sensor technology for parking like the City of Nice or for  waste management like the City of Barcelona.
13. Embrace Car2Go, Modo and UBER as ways to move people in your city.
14. Consider turning your IT department into the Innovation and Technology Department like they did at the City of Chicago.
15. Partner with other near by local governments to create a shared Innovation and Technology agency.
Now more than ever before cities need to find ways to innovate, to transform and to create a foundation that is sustainable.  Now is the time for both courage and innovations in government.  What is your city doing to move into the 21st Century?”

Towards a comparative science of cities: using mobile traffic records in New York, London and Hong Kong

Curated on Posted on by Stefaan Verhulst

Book chapter by S. Grauwin, S. Sobolevsky, S. Moritz, I. Gódor, C. Ratti, to be published in “Computational Approaches for Urban Environments” (Springer Ed.), October 2014: “This chapter examines the possibility to analyze and compare human activities in an urban environment based on the detection of mobile phone usage patterns. Thanks to an unprecedented collection of counter data recording the number of calls, SMS, and data transfers resolved both in time and space, we confirm the connection between temporal activity profile and land usage in three global cities: New York, London and Hong Kong. By comparing whole cities typical patterns, we provide insights on how cultural, technological and economical factors shape human dynamics. At a more local scale, we use clustering analysis to identify locations with similar patterns within a city. Our research reveals a universal structure of cities, with core financial centers all sharing similar activity patterns and commercial or residential areas with more city-specific patterns. These findings hint that as the economy becomes more global, common patterns emerge in business areas of different cities across the globe, while the impact of local conditions still remains recognizable on the level of routine people activity.”