Not just the government’s playbook


at Radar: “Whenever I hear someone say that “government should be run like a business,” my first reaction is “do you know how badly most businesses are run?” Seriously. I do not want my government to run like a business — whether it’s like the local restaurants that pop up and die like wildflowers, or megacorporations that sell broken products, whether financial, automotive, or otherwise.
If you read some elements of the press, it’s easy to think that healthcare.gov is the first time that a website failed. And it’s easy to forget that a large non-government website was failing, in surprisingly similar ways, at roughly the same time. I’m talking about the Common App site, the site high school seniors use to apply to most colleges in the US. There were problems with pasting in essays, problems with accepting payments, problems with the app mysteriously hanging for hours, and more.
 
I don’t mean to pick on Common App; you’ve no doubt had your own experience with woefully bad online services: insurance companies, Internet providers, even online shopping. I’ve seen my doctor swear at the Epic electronic medical records application when it crashed repeatedly during an appointment. So, yes, the government builds bad software. So does private enterprise. All the time. According to TechRepublic, 68% of all software projects fail. We can debate why, and we can even debate the numbers, but there’s clearly a lot of software #fail out there — in industry, in non-profits, and yes, in government.
With that in mind, it’s worth looking at the U.S. CIO’s Digital Services Playbook. It’s not ideal, and in many respects, its flaws reveal its origins. But it’s pretty good, and should certainly serve as a model, not just for the government, but for any organization, small or large, that is building an online presence.
The playbook consists of 13 principles (called “plays”) that drive modern software development:

  • Understand what people need
  • Address the whole experience, from start to finish
  • Make it simple and intuitive
  • Build the service using agile and iterative practices
  • Structure budgets and contracts to support delivery
  • Assign one leader and hold that person accountable
  • Bring in experienced teams
  • Choose a modern technology stack
  • Deploy in a flexible hosting environment
  • Automate testing and deployments
  • Manage security and privacy through reusable processes
  • Use data to drive decisions
  • Default to open

These aren’t abstract principles: most of them should be familiar to anyone who has read about agile software development, attended one of our Velocity conferences, one of the many DevOps Days, or a similar event. All of the principles are worth reading (it’s not a long document). I’m going to call out two for special attention….”

An Air-Quality Monitor You Take with You


MIT Technology Review: “A startup is building a wearable air-quality monitor using a sensing technology that can cheaply detect the presence of chemicals around you in real time. By reporting the information its sensors gather to an app on your smartphone, the technology could help people with respiratory conditions and those who live in highly polluted areas keep tabs on exposure.
Berkeley, California-based Chemisense also plans to crowdsource data from users to show places around town where certain compounds are identified.
Initially, the company plans to sell a $150 wristband geared toward kids with asthma—of which there are nearly 7 million in the U.S., according to data from the Centers for Disease Control and Prevention— to help them identify places and pollutants that tend to provoke attacks,  and track their exposure to air pollution over time. The company hopes people with other respiratory conditions, and those who are just concerned about air pollution, will be interested, too.
In the U.S., air quality is monitored at thousands of stations across the country; maps and forecasts can be viewed online. But these monitors offer accurate readings only in their location.
Chemisense has not yet made its initial product, but it expects it will be a wristband using polymers treated with charged nanoparticles of carbon such that the polymers swell in the presence of certain chemical vapors, changing the resistance of a circuit.”

EU-funded tool to help our brain deal with big data


EU Press Release: “Every single minute, the world generates 1.7 million billion bytes of data, equal to 360,000 DVDs. How can our brain deal with increasingly big and complex datasets? EU researchers are developing an interactive system which not only presents data the way you like it, but also changes the presentation constantly in order to prevent brain overload. The project could enable students to study more efficiently or journalists to cross check sources more quickly. Several museums in Germany, the Netherlands, the UK and the United States have already showed interest in the new technology.

Data is everywhere: it can either be created by people or generated by machines, such as sensors gathering climate information, satellite imagery, digital pictures and videos, purchase transaction records, GPS signals, etc. This information is a real gold mine. But it is also challenging: today’s datasets are so huge and complex to process that they require new ideas, tools and infrastructures.

Researchers within CEEDs (@ceedsproject) are transposing big data into an interactive environment to allow the human mind to generate new ideas more efficiently. They have built what they are calling an eXperience Induction Machine (XIM) that uses virtual reality to enable a user to ‘step inside’ large datasets. This immersive multi-modal environment – located at Pompeu Fabra University in Barcelona – also contains a panoply of sensors which allows the system to present the information in the right way to the user, constantly tailored according to their reactions as they examine the data. These reactions – such as gestures, eye movements or heart rate – are monitored by the system and used to adapt the way in which the data is presented.

Jonathan Freeman,Professor of Psychology at Goldsmiths, University of London and coordinator of CEEDs, explains: The system acknowledges when participants are getting fatigued or overloaded with information.  And it adapts accordingly. It either simplifies the visualisations so as to reduce the cognitive load, thus keeping the user less stressed and more able to focus.  Or it will guide the person to areas of the data representation that are not as heavy in information.

Neuroscientists were the first group the CEEDs researchers tried their machine on (BrainX3). It took the typically huge datasets generated in this scientific discipline and animated them with visual and sound displays. By providing subliminal clues, such as flashing arrows, the machine guided the neuroscientists to areas of the data that were potentially more interesting to each person. First pilots have already demonstrated the power of this approach in gaining new insights into the organisation of the brain….”

Let the games begin: how government is using ‘gamification’ to change public behaviour


Joshua Chambers at FutureGov: “Governments across the region are turning to “gamification” – otherwise known as “game science” – to help create new ways to persuade their populations.
FutureGov recently attended a session at GovCamp Australia where officials discussed the potential of this new approach. It has pulled together the best examples of successful government games, and sought advice from the private sector on building something that will achieve results.
How it works
How does gamification work? It creates an environment where people play games to win prizes or compete against one another, all while learning about about a new message or behaving in a certain, desirable manner. The approach can be used by every type of agency, and has been trialled on public sector campaigns including military recruitment, physical fitness, speeding prevention, consumer rights awareness and even making citizens engage with census data.
For example, it was used by the Department of Justice of Victoria, Australia when they wanted to make young people aware of consumer protection laws. Discussion of legal concepts did not seem particularly appealing, so they took a different tack by launching a game called Party for Your Rights. “It’s targeted at young people, teaching them their rights through the activity of going to a party. It’s very appealing, with retro 1980s graphics and music,” explained Paul Chandley, general manager of digital strategy and engagement in the Victorian Department of Justice.
Since its launch in June 2014, it has been played 23,000 times. A survey found that 96% of players surveyed said they felt either more informed of their rights or more confident about using their rights after interacting with the game.
The game proved popular in Australia and there are plenty of other examples of successful games built by government agencies – FutureGov has profiled the six best examples of gamification in government.…”
See also:

App enables citizens to report water waste in drought regions


Springwise: “Rallying citizens to take a part in looking after the community they live in has become easier thanks to smartphones. In the past, the Creek Watch app has enabled anyone to help monitor their local water quality by sending data back to the state water board. Now Everydrop LA wants to use similar techniques to avoid drought in California, encouraging residents to report incidents of water wastage.
According to the team behind the app — which also created the CitySourced platform for engaging users in civic issues — even the smallest amount of water wastage can lead to meaningful losses over time. A faucet that drips just once a minute will lose over 2000 gallons of drinkable water each year. Using the Everydrop LA, citizens can report the location of leaking faucets and fire hydrants as well as occurrences of blatant water wastage. They can also see how much water is being wasted in their local area and learn about what they can do to cut their own water usage. In times when drought is a risk, the app notifies users to conserve. Cities and counties can use the data in their reports and learn more about how water wastage is affecting their jurisdiction.”

Interpreting Hashtag Politics – Policy Ideas in an Era of Social Media


New book by Stephen Jeffares: “Why do policy actors create branded terms like Big Society and does launching such policy ideas on Twitter extend or curtail their life? This book argues that the practice of hashtag politics has evolved in response to an increasingly congested and mediatised environment, with the recent and rapid growth of high speed internet connections, smart phones and social media. It examines how policy analysis can adapt to offer interpretive insights into the life and death of policy ideas in an era of hashtag politics.
This text reveals that policy ideas can at the same time be ideas, instruments, visions, containers and brands, and advises readers on how to tell if a policy idea is dead or dying, how to map the diversity of viewpoints, how to capture the debate, when to engage and when to walk away. Each chapter showcases innovative analytic techniques, illustrated by application to contemporary policy ideas.”

How Citizen Scientists Are Using The Web to Track the Natural World


Yale Environment 360: “By making the recording and sharing of environmental data easier than ever, web-based technology has fostered the rapid growth of so-called citizen scientists — volunteers who collaborate with scientists to collect and interpret data. Numerous Internet-based projects now make use of citizen scientists to monitor environmental health and to track sensitive plant and wildlife populations. From counting butterflies, frogs, and bats across the globe, to piloting personal drones capable of high-definition infrared imaging, citizen scientists are playing a crucial role in collecting data that will help researchers understand the environment. Here is a sampling of some of these projects. ”
View the gallery.

GitHub: A Swiss Army knife for open government


FCW: “Today, more than 300 government agencies are using the platform for public and private development. Cities (Chicago, Philadelphia, San Francisco), states (New York, Washington, Utah) and countries (United Kingdom, Australia) are sharing code and paving a new road to civic collaboration….

In addition to a rapidly growing code collection, the General Services Administration’s new IT development shop has created a “/Developer program” to “provide comprehensive support for any federal agency engaged in the production or use of APIs.”
The Consumer Financial Protection Bureau has built a full-blown website on GitHub to showcase the software and design work its employees are doing.
Most of the White House’s repos relate to Drupal-driven websites, but the Obama administration has also shared its iOS and Android apps, which together have been forked nearly 400 times.

Civic-focused organizations — such as the OpenGov Foundation, the Sunlight Foundation and the Open Knowledge Foundation — are also actively involved with original projects on GitHub. Those projects include the OpenGov Foundation’s Madison document-editing tool touted by the likes of Rep. Darrell Issa (R-Calif.) and the Open Knowledge Foundation’s CKAN, which powers hundreds of government data platforms around the world.
According to GovCode, an aggregator of public government open-source projects hosted on GitHub, there have been hundreds of individual contributors and nearly 90,000 code commits, which involve making a set of tentative changes permanent.
The nitty-gritty
Getting started on GitHub is similar to the process for other social networking platforms. Users create individual accounts and can set up “organizations” for agencies or cities. They can then create repositories (or repos) to collaborate on projects through an individual or organizational account. Other developers or organizations can download repo code for reuse or repurpose it in their own repositories (called forking), and make it available to others to do the same.
Collaborative aspects of GitHub include pull requests that allow developers to submit and accept updates to repos that build on and grow an open-source project. There are wikis, gists (code snippet sharing) and issue tracking for bugs, feature requests, or general questions and answers.
GitHub provides free code hosting for all public repos. Upgrade offerings include personal and organizational plans based on the number of private repos. For organizations that want a self-hosted GitHub development environment, GitHub Enterprise, used by the likes of CFPB, allows for self-hosted, private repos behind a firewall.
GitHub’s core user interface can be unwelcoming or even intimidating to the nondeveloper, but GitHub’s Pages package offers Web-hosting features that include domain mapping and lightweight content management tools such as static site generator Jekyll and text editor Atom.
Notable government projects that use Pages are the White House’s Project Open Data, 18F’s /Developer Program, CFPB’s Open Tech website and New York’s Open Data Handbook. Indeed, Wired recently commented that the White House’s open-data GitHub efforts “could help fix government.”…
See also: GitHub for Government (GovLab)

What is democracy? A reconceptualization of the quality of democracy


Paper by Gerardo L. Munck: “Works on the quality of democracy propose standards for evaluating politics beyond those encompassed by a minimal definition of democracy. Yet, what is the quality of democracy? This article first reconstructs and assesses current conceptualizations of the quality of democracy. Thereafter, it reconceptualizes the quality of democracy by equating it with democracy pure and simple, positing that democracy is a synthesis of political freedom and political equality, and spelling out the implications of this substantive assumption. The proposal is to broaden the concept of democracy to address two additional spheres: government decision-making – political institutions are democratic inasmuch as a majority of citizens can change the status quo – and the social environment of politics – the social context cannot turn the principles of political freedom and equality into mere formalities. Alternative specifications of democratic standards are considered and reasons for discarding them are provided.”

Urban Analytics (Updated and Expanded)


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 biblio@thegovlab.org.

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.”

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