How to Fingerprint a City

Curated on Posted on by Stefaan Verhulst

Frank Jacobs at BigThink: “Thanks to Big Data, a new “Science of Cities” is emerging. Urban processes that until now could only be perceived subjectively can finally be quantified. Point in case: two French scientists have developed a mathematical formula to ‘fingerprint’ cities.
Take a good, close look at your fingertips. The pattern of grooves and ridges on your skin there [1] is yours alone. Equally unique is the warp and weft of urban road networks. No two cities’ street grids are exactly alike. Some are famously distinct. The forensic urbanist in all of us can probably recognise a blind map of New York, London and a few other global metropolises.
Rémi Louf and Marc Barthelemy examined the street patterns of 131 cities around the world. Not to learn them by heart and impress their fellow scientists at the Institut de Physique Théorique near Paris – although that would be a neat parlor trick. They wanted to see if it would be possible to classify them into distinct types. The title of their paper, A Typology of Street Patterns, is a bit of a giveaway: the answer is Yes.
Before we get to the How, let’s hear them explain the Why:

“[Street and road] networks can be thought as a simplified schematic view of cities, which captures a large part of their structure and organization and contain a large amount of information about underlying and universal mechanisms at play in their formation and evolution. Extracting common patterns between cities is a way towards the identification of these underlying mechanisms. At stake is the question of the processes behind the so-called ‘organic’ patterns – which grow in response to local constraints – and whether they are preferable to the planned patterns which are designed under large scale constraints”.

There have been attempts before to classify urban networks, but the results have always been colored by the subjectivity of what Louf and Barthelemy call the ‘Space Syntax Community’. That’s all changed now: Big Data – in this case, the mass digitization of street maps – makes it possible to extract common patterns from street grids in an objective manner, as dispassionately as the study of tree leaves according to their venation. …
Read their entire paper here.“

Selected Readings on Cities and Civic Technology

Curated on Posted on by Julia Root

By Julia Root and Stefaan Verhulst

The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of civic innovation was originally published in 2014.

The last five years have seen a wave of new organizations, entrepreneurs and investment in cities and the field of civic innovation.  Two subfields, Civic Tech and Government Innovation, are particularly aligned with GovLab’s interest in the ways in which technology is and can be deployed to redesign public institutions and re-imagine governance.

The emerging field of civic technology, or “Civic Tech,” champions new digital platforms, open data and collaboration tools for transforming government service delivery and engagement with citizens. Government Innovation, while not a new field, has seen in the last five years a proliferation of new structures (e.g. Mayor’s Office of New Urban Mechanics), roles (e.g. Chief Technology/Innovation Officer) and public/private investment (e.g. Innovation Delivery Teams and Code for America Fellows) that are building a world-wide movement for transforming how government thinks about and designs services for its citizens.

There is no set definition for “civic innovation.” However, broadly speaking, it is about improving our cities through the implementation of tools, ideas and engagement methods that strengthen the relationship between government and citizens. The civic innovation field encompasses diverse actors from across the public, private and nonprofit spectrums. These can include government leaders, nonprofit and foundation professionals, urbanists, technologists, researchers, business leaders and community organizers, each of whom may use the term in a different way, but ultimately are seeking to disrupt how cities and public institutions solve problems and invest in solutions.

Selected Reading List (in alphabetical order)

Annotated Selected Readings (in alphabetical order)

Books

Goldsmith, Stephen, and Susan Crawford. The Responsive City: Engaging Communities Through Data-Smart Governance. 1 edition. San Francisco, CA: Jossey-Bass, 2014. http://bit.ly/1zvKOL0.

  • The Responsive City, a guide to civic engagement and governance in the digital age, is the culmination of research originating from the Data-Smart City Solutions initiative, an ongoing project at Harvard Kennedy School working to catalyze adoption of data projects on the city level.
  • The “data smart city” is one that is responsive to citizens, engages them in problem solving and finds new innovative solutions for dismantling entrenched bureaucracy.
  • The authors document case studies from New York City, Boston and Chicago to explore the following topics:
    • Building trust in the public sector and fostering a sustained, collective voice among communities;
    • Using data-smart governance to preempt and predict problems while improving quality of life;
    • Creating efficiencies and saving taxpayer money with digital tools; and
    • Spearheading these new approaches to government with innovative leadership.

Townsend, Anthony M. Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia. 1 edition. New York: W. W. Norton & Company, 2013. http://bit.ly/17Y4G0R.

  • 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; instead, it is how citizens are using ever-changing and grassroots technologies to be “human-centered, inclusive and resilient” that will make cities ‘smart.’

Reports + Journal Articles

Black, Alissa, and Rachel Burstein. “The 2050 City – What Civic Innovation Looks Like Today and Tomorrow.” White Paper. New America Foundation – California Civic Innovation Project, June 2013. https://bit.ly/2GohMvw.

  • Through their interviews, the authors determine that civic innovation is not just a “compilation of projects” but that it can inspire institutional structural change.
  • Civic innovation projects that have a “technology focus can sound very different than process-related innovations”; however the outcomes are actually quite similar as they disrupt how citizens and government engage with one another.
  • Technology is viewed by some of the experts as an enabler of civic innovation – not necessarily the driver for innovation itself. What constitutes innovation is how new tools are implemented by government or by civic groups that changes the governing dynamic.

Patel, Mayur, Jon Sotsky, Sean Gourley, and Daniel Houghton. “Knight Foundation Report on Civic Technology.” Presentation. Knight Foundation, December 2013. http://slidesha.re/11UYgO0.

  • This reports aims to advance the field of civic technology, which compared to the tech industry as a whole is relatively young. It maps the field, creating a starting place for understanding activity and investment in the sector.
  • It defines two themes, Open Government and Civic Action, and identifies 11 clusters of civic tech innovation that fall into the two themes. For each cluster, the authors describe the type of activities and highlights specific organizations.
  • The report identified more than $430 million of private and philanthropic investment directed to 102 civic tech organizations from January 2011 to May 2013.

Open Plans. “Field Scan on Civic Technology.” Living Cities, November 2012. http://bit.ly/1HGjGih.

  • Commissioned by Living Cities and authored by Open Plans, the Field Scan investigates the emergent field of civic technology and generates the first analysis of the potential impact for the field as well as a critique for how tools and new methods need to be more inclusive of low-income communities in their use and implementation.
  • Respondents generally agreed that the tools developed and in use in cities so far are demonstrations of the potential power of civic tech, but that these tools don’t yet go far enough.
  • Civic tech tools have the potential to improve the lives of low-income people in a number of ways. However, these tools often fail to reach the population they are intended to benefit. To better understand this challenge, civic tech for low-income people must be considered in the broader context of their interactions with technology and with government.
  • Although hackathons are popular, their approach to problem solving is not always driven by community needs, and hackathons often do not produce useful material for governments or citizens in need.

Goldberg, Jeremy M. “Riding the Second Wave of Civic Innovation.” Governing, August 28, 2014. http://bit.ly/1vOKnhJ.

  • In this piece, Goldberg argues that innovation and entrepreneurship in local government increasingly require mobilizing talent from many sectors and skill sets.

Black, Alissa, and Burstein, Rachel. “A Guide for Making Innovation Offices Work.” IBM Center for the Business of Government, October 2014. http://bit.ly/1vOFZP4.

  • In this report, Burstein and Black examine the recent trend toward the creation of innovation offices across the nation at all levels of government to understand the structural models now being used to stimulate innovation—both internally within an agency, and externally for the agency’s partners and communities.
  • The authors conducted interviews with leadership of innovation offices of cities that include Philadelphia, Austin, Kansas City, Chicago, Davis, Memphis and Los Angeles.
  • The report cites examples of offices, generates a typology for the field, links to projects and highlights success factors.

Mulholland, Jessica, and Noelle Knell. “Chief Innovation Officers in State and Local Government (Interactive Map).” Government Technology, March 28, 2014. http://bit.ly/1ycArvX.

  • This article provides an overview of how different cities structure their Chief Innovation Officer positions and provides links to offices, projects and additional editorial content.
  • Some innovation officers find their duties merged with traditional CIO responsibilities, as is the case in Chicago, Philadelphia and New York City. Others, like those in Louisville and Nashville, have titles that reveal a link to their jurisdiction’s economic development endeavors.

Toolkits

Bloomberg Philanthropies. January 2014. “Transform Your City through Innovation: The Innovation Delivery Model for Making It Happen.” New York: Bloomberg Philanthropies. http://bloombg.org/120VrKB.

  • In 2011, Bloomberg Philanthropies funded a three-year innovation capacity program in five major United States cities— Atlanta, Chicago, Louisville, Memphis, and New Orleans – in which cities could hire top-level staff to develop and see through the implementation of solutions to top mayoral priorities such as customer service, murder, homelessness, and economic development, using a sequence of steps.
  • The Innovation Delivery Team Playbook describes the Innovation Delivery Model and describes each aspect of the model from how to hire and structure the team, to how to manage roundtables and run competitions.

Can Government Mine Tweets to Assess Public Opinion?

Curated on Posted on by Stefaan Verhulst

at Government Technology: “What if instead of going to a city meeting, you could go on Twitter, tweet your opinion, and still be heard by those in government? New research suggests this is a possibility.
The Urban Attitudes Lab at Tufts University has conducted research on accessing “big data” on social networking sites for civic purposes, according to Justin Hollander, associate professor in the Department of Urban and Environmental Policy and Planning at Tufts.
About six months ago, Hollander began researching new ways of accessing how people think about the places they live, work and play. “We’re looking to see how tapping into social media data to understand attitudes and opinions can benefit both urban planning and public policy,” he said.
Harnessing natural comments — there are about one billion tweets per day — could help governments learn what people are saying and feeling, said Hollander. And while formal types of data can be used as proxies for how happy people are, people openly share their sentiments on social networking sites.
Twitter and other social media sites can also provide information in an unobtrusive way. “The idea is that we can capture a potentially more valid and reliable view [of people’s] opinions about the world,” he said. As an inexact science, social science relies on a wide range of data sources to inform research, including surveys, interviews and focus groups; but people respond to being the subject of study, possibly affecting outcomes, Hollander said.
Hollander is also interested in extracting data from social sites because it can be done on a 24/7 basis, which means not having to wait for government to administer surveys, like the Decennial Census. Information from Twitter can also be connected to place; Hollander has approximated that about 10 percent of all tweets are geotagged to location.
In its first study earlier this year, the lab looked at using big data to learn about people’s sentiments and civic interests in New Bedford, Mass., comparing Twitter messages with the city’s published meeting minutes.
To extract tweets over a six-week period from February to April, researchers used the lab’s own software to capture 122,186 tweets geotagged within the city that also had words pertaining to the New Bedford area. Hollander said anyone can get API information from Twitter to also mine data from an area as small as a neighborhood containing a couple hundred houses.
Researchers used IBM’s SPSS Modeler software, comparing this to custom-designed software, to leverage a sentiment dictionary of nearly 3,000 words, assigning a sentiment score to each phrase — ranging from -5 for awful feelings to +5 for feelings of elation. The lab did this for the Twitter messages, and found that about 7 percent were positive versus 5.5 percent negative, and correspondingly in the minutes, 1.7 percent were positive and .7 percent negative. In total, about 11,000 messages contained sentiments.
The lab also used NVivo qualitative software to analyze 24 key words in a one-year sample of the city’s meeting minutes. By searching for the same words in Twitter posts, the researchers found that “school,” “health,” “safety,” “parks,” “field” and “children” were used frequently across both mediums.
….
Next up for the lab is a new study contrasting Twitter posts from four Massachusetts cities with the recent election results.

Cities Find Rewards in Cheap Technologies

Curated on Posted on by Stefaan Verhulst

Nanette Byrnes at MIT Technology Review: “Cities around the globe, whether rich or poor, are in the midst of a technology experiment. Urban planners are pulling data from inexpensive sensors mounted on traffic lights and park benches, and from mobile apps on citizens’ smartphones, to analyze how their cities really operate. They hope the data will reveal how to run their cities better and improve urban life. City leaders and technology experts say that managing the growing challenges of cities well and affordably will be close to impossible without smart technology.
Fifty-four percent of humanity lives in urban centers, and almost all of the world’s projected population growth over the next three decades will take place in cities, including many very poor cities. Because of their density and often strained infrastructure, cities have an outsize impact on the environment, consuming two-thirds of the globe’s energy and contributing 70 percent of its greenhouse-gas emissions. Urban water systems are leaky. Pollution levels are often extreme.
But cities also contribute most of the world’s economic production. Thirty percent of the world’s economy and most of its innovation are concentrated in just 100 cities. Can technology help manage rapid population expansion while also nurturing cities’ all-important role as an economic driver? That’s the big question at the heart of this Business Report.
Selling answers to that question has become a big business. IBM, Cisco, Hitachi, Siemens, and others have taken aim at this market, publicizing successful examples of cities that have used their technology to tackle the challenges of parking, traffic, transportation, weather, energy use, water management, and policing. Cities already spend a billion dollars a year on these systems, and that’s expected to grow to $12 billion a year or more in the next 10 years.
To justify this kind of outlay, urban technologists will have to move past the test projects that dominate discussions today. Instead, they’ll have to solve some of the profound and growing problems of urban living. Cities leaning in that direction are using various technologies to ease parking, measure traffic, and save water (see “Sensing Santander”), reduce rates of violent crime (see “Data-Toting Cops”), and prepare for ever more severe weather patterns.
There are lessons to be learned, too, from cities whose grandiose technological ideas have fallen short, like the eco-city initiative of Tianjin, China (see “China’s Future City”), which has few residents despite great technology and deep government support.
The streets are similarly largely empty in the experimental high-tech cities of Songdo, South Korea; Masdar City, Abu Dhabi; and Paredes, Portugal, which are being designed to have minimal impact on the environment and offer high-tech conveniences such as solar-powered air-conditioning and pneumatic waste disposal systems instead of garbage trucks. Meanwhile, established cities are taking a much more incremental, less ambitious, and perhaps more workable approach, often benefiting from relatively inexpensive and flexible digital technologies….”

A New Taxonomy of Smart City Projects

Curated on Posted on by Stefaan Verhulst

New paper by Guido Perboli et al: “City logistics proposes an integrated vision of freight transportation systems within urban area and it aims at the optimization of them as a whole in terms of efficiency, security, safety, viability and environmental sustainability. Recently, this perspective has been extended by the Smart City concept in order to include other aspects of city management: building, energy, environment, government, living, mobility, education, health and so on. At the best of our knowledge, a classification of Smart City Projects has not been created yet. This paper introduces such a classification, highlighting success factors and analyzing new trends in Smart City.”

Strengthening Communities with Neighborhood Data

Curated on Posted on by Stefaan Verhulst

Webcast of Book release by G. Thomas Kingsley Claudia J. Coulton, and Kathryn L. S. Pettit: “Efforts to address the problems of distressed urban neighborhoods stretch back to the 1800s, but until relatively recently, data played little role in forming policy solutions. Published by the Urban Institute with support from the John D. and Catherine T. MacArthur Foundation, the new book Strengthening Communities with Neighborhood Data documents how government and nonprofit institutions have used information about neighborhood conditions to change the way we think about community and local governance in America.”
Get a free copy of Strengthening Communities with Neighborhood Data

Spain is trialling city monitoring using sound

Curated on Posted on by Stefaan Verhulst

Springwise: “There’s more traffic on today’s city streets than there ever has been, and managing it all can prove to be a headache for local authorities and transport bodies. In the past, we’ve seen the City of Calgary in Canada detect drivers’ Bluetooth signals to develop a map of traffic congestion. Now the EAR-IT project in Santander, Spain, is using acoustic sensors to measure the sounds of city streets and determine real time activity on the ground.
Launched as part of the autonomous community’s SmartSantander initiative, the experimental scheme placed hundreds of acoustic processing units around the region. These pick up the sounds being made in any given area and, when processed through an audio recognition engine, can provide data about what’s going on on the street. Smaller ‘motes’ were also developed to provide more accurate location information about each sound.
Created by members of Portugal’s UNINOVA institute and IT consultants EGlobalMark, the system was able to use city noises to detect things such as traffic congestion, parking availability and the location of emergency vehicles based on their sirens. It could then automatically trigger smart signs to display up-to-date information, for example.
The team particularly focused on a junction near the city hospital that’s a hotspot for motor accidents. Rather than force ambulance drivers to risk passing through a red light and into lateral traffic, the sensors were able to detect when and where an emergency vehicle was coming through and automatically change the lights in their favor.
The system could also be used to pick up ‘sonic events’ such as gunshots or explosions and detect their location. The researchers have also trialled an indoor version that can sense if an elderly resident has fallen over or to turn lights off when the room becomes silent.”

Seattle Launches Sweeping, Ethics-Based Privacy Overhaul

Curated on Posted on by Stefaan Verhulst

Angelique Carson for the Privacy Advisor: “The City of Seattle this week launched a citywide privacy initiative aimed at providing greater transparency into the city’s data collection and use practices.
To that end, the city has convened a group of stakeholders, the Privacy Advisory Committee, comprising various government departments, to look at the ways the city is using data collected from practices as common as utility bill payments and renewing pet licenses or during the administration of emergency services like police and fire. By this summer, the committee will deliver the City Council suggested principles and a “privacy statement” to provide direction on privacy practices citywide.
In addition, the city has partnered with the University of Washington, where Jan Whittington, assistant professor of urban design and planning and associate director at the Center for Information Assurance and Cybersecurity, has been given a $50,000 grant to look at open data, privacy and digital equity and how municipal data collection could harm consumers.
Responsible for all things privacy in this progressive city is Michael Mattmiller, who was hired to the position of chief technology officer (CTO) for the City of Seattle in June. Before his current gig, he worked as a senior strategist in enterprise cloud privacy for Microsoft. He said it’s an exciting time to be at the helm of the office because there’s momentum, there’s talent and there’s intention.
“We’re at this really interesting time where we have a City Council that strongly cares about privacy … We have a new police chief who wants to be very good on privacy … We also have a mayor who is focused on the city being an innovative leader in the way we interact with the public,” he said.
In fact, some City Council members have taken it upon themselves to meet with various groups and coalitions. “We have a really good, solid environment we think we can leverage to do something meaningful,” Mattmiller said….
Armbruster said the end goal is to create policies that will hold weight over time.
“I think when looking at privacy principles, from an ethical foundation, the idea is to create something that will last while technology dances around us,” she said, adding the principles should answer the question, “What do we stand for as a city and how do we want to move forward? So any technology that falls into our laps, we can evaluate and tailor or perhaps take a pass on as it falls under our ethical framework.”
The bottom line, Mattmiller said, is making a decision that says something about Seattle and where it stands.
“How do we craft a privacy policy that establishes who we want to be as a city and how we want to operate?” Mattmiller asked.”

The Future of Cities

Curated on Posted on by Stefaan Verhulst
John Chambers and Wim Elfrink at Foreign Affairs: “As much as the Internet has already changed the world, it is the Web’s next phase that will bring the biggest opportunities, revolutionizing the way we live, work, play, and learn.

That next phase, which some call the Internet of Things and which we call the Internet of Everything, is the intelligent connection of people, processes, data, and things. Although it once seemed like a far-off idea, it is becoming a reality for businesses, governments, and academic institutions worldwide. Today, half the world’s population has access to the Internet; by 2020, two-thirds will be connected. Likewise, some 13.5 billion devices are connected to the Internet today; by 2020, we expect that number to climb to 50 billion. The things that are—and will be—connected aren’t just traditional devices, such as computers, tablets, and phones, but also parking spaces and alarm clocks, railroad tracks, street lights, garbage cans, and components of jet engines.
All of these connections are already generating massive amounts of digital data—and it doubles every two years. New tools will collect and share that data (some 15,000 applications are developed each week!) and, with analytics, that can be turned into information, intelligence, and even wisdom, enabling everyone to make better decisions, be more productive, and have more enriching experiences.
And the value that it will bring will be epic. In fact, the Internet of Everything has the potential to create $19 trillion in value over the next decade. For the global private sector, this equates to a 21 percent potential aggregate increase in corporate profits—or $14.4 trillion. The global public sector will benefit as well, using the Internet of Everything as a vehicle for the digitization of cities and countries. This will improve efficiency and cut costs, resulting in as much as $4.6 trillion of total value. Beyond that, it will help (and already is helping) address some of the world’s most vexing challenges: aging and growing populations rapidly moving to urban centers; growing demand for increasingly limited natural resources; and massive rebalancing in economic growth between briskly growing emerging market countries and slowing developed countries….”

Urban Observatory Is Snapping 9,000 Images A Day Of New York City

Curated on Posted on by Stefaan Verhulst
FastCo-Exist: “Astronomers have long built observatories to capture the night sky and beyond. Now researchers at NYU are borrowing astronomy’s methods and turning their cameras towards Manhattan’s famous skyline.
NYU’s Center for Urban Science and Progress has been running what’s likely the world’s first “urban observatory” of its kind for about a year. From atop a tall building in downtown Brooklyn (NYU won’t say its address, due to security concerns), two cameras—one regular one and one that captures infrared wavelengths—take panoramic images of lower and midtown Manhattan. One photo is snapped every 10 seconds. That’s 8,640 images a day, or more than 3 million since the project began (or about 50 terabytes of data).

“The real power of the urban observatory is that you have this synoptic imaging. By synoptic imaging, I mean these large swaths of the city,” says the project’s chief scientist Gregory Dobler, a former astrophysicist at Harvard University and the University of California, Santa Barbara who now heads the 15-person observatory team at NYU.
Dobler’s team is collaborating with New York City officials on the project, which is now expanding to set up stations that study other parts of Manhattan and Brooklyn. Its major goal is to discover information about the urban landscape that can’t be seen at other scales. Such data could lead to applications like tracking which buildings are leaking energy (with the infrared camera), or measuring occupancy patterns of buildings at night, or perhaps detecting releases of toxic chemicals in an emergency.
The video above is an example. The top panel cycles through a one-minute slice of observatory images. The bottom panel is an analysis of the same images in which everything that remains static in each image is removed, such as buildings, trees, and roads. What’s left is an imprint of everything in flux within the scene—the clouds, the cars on the FDR Drive, the boat moving down the East River, and, importantly, a plume of smoke that puffs out of a building.
“Periodically, a building will burp,” says Dobler. “It’s hard to see the puffs of smoke . . . but we can isolate that plume and essentially identify it.” (As Dobler has done by highlighting it in red in the top panel).
To the natural privacy concerns about this kind of program, Dobler emphasizes that the pictures are only from an 8 megapixel camera (the same found in the iPhone 6) and aren’t clear enough to see inside a window or make out individuals. As a further privacy safeguard, the images are analyzed to only look at “aggregate” measures—such as the patterns of nighttime energy usage—rather than specific buildings. “We’re not really interested in looking at a given building, and saying, hey, these guys are particular offenders,” he says (He also says the team is not looking at uses for the data in security applications.) However, Dobler was not able to answer a question as to whether the project’s partners at city agencies are able to access data analysis for individual buildings….”