The Website That Visualizes Human Activity in Cities Across the World

Curated on Posted on by Stefaan Verhulst

Emerging Technology From the arXiv: “The data from mobile phones is revolutionizing our understanding of human activity. In recent years, it has revealed commuting patterns in major cities, wealth distribution in African countries, and even reproductive strategies in western societies. That has provided unprecedented insight for economists, sociologists, and city planners among others.

But this kind of advanced research is just a first step in a much broader trend. Phone data is set to become a standard resource that almost anyone can use to study and watch humanity continuously, much as they can now watch the weather unfold anywhere on the planet almost in real time.

But one thing is holding them back—the lack of powerful computational tools that can gather, crunch, and present the data in meaningful ways.

Today, that looks set to change to the work of Dániel Kondor and a few pals at the SENSEable City Laboratory, part of MIT, and at Ericsson, a company that produces network infrastructure technologies. These guys have unveiled a powerful online tool that uses mobile phone data to visualize human activity in cities all over the world.

This new tool, called ManyCities, allows anybody to study human activity in various cities with unprecedented detail.  But the key is that it organizes and presents the data in intuitive ways that quickly reveals trends and special events….

ManyCities then presents the data in three simple ways. The first shows how phone usage varies over time, revealing clear daily and weekly patterns as well as longer term trends. For example, ManyCities clearly shows a steady, long-term increase in data traffic, the effect of holidays, and how usage patterns change dramatically during important events like the Wimbledon tennis championship in London.

ManyCities also allows user to drill down into the data to compare patterns in different neighborhoods or in different cities. It shows, for example, that text message activity peaks in the morning in Hong Kong, in the evening in New York and at midday in London….Kondor and co have made it available at www.ManyCities.org for anybody to try.

This kind of tool is clearly evolving into a real time analytics tool. It’s not hard to imagine how people could use it to plan events such as conferences, sporting contests, or concerts or to plan emergency city infrastructure. One day people may even tune in to a “smartphone forecast” to find out if their phone will work when the big game kicks off that evening.

Ref: arxiv.org/abs/1509.00459 : Visualizing Signatures Of Human Activity In Cities Across The Globe”

Harnessing the Internet of Everything to Serve the Public Good

Curated on Posted on by Stefaan Verhulst

Brian Gill at Socrata: “…Thanks to sensor-based objects, big data is getting bigger, and that presents opportunities — and considerations — for government organizations.

Picture this: It’s a sunny summer’s day a few years from now, plants are in full bloom, and you’re strolling through a major city park. Unfortunately, your eyes are watering as the itchy beginnings of a pollen-induced allergy attack begin to compromise the experience.

Pulling out your phone, you consult a data visualization showing the park’s hour-by-hour pollen count densities. You then choose a new path, one with different vegetation and lighter pollen counts, and go about your way, barely noticing the egg-shaped nodes in the canopy monitoring everything from pollen to air quality to foot-traffic trends.

Welcome to the Internet of Everything, city edition.

….tapping into, and especially generating, IoT data streams is a natural fit for larger municipal governments who not only have the fiscal resources needed to put IoT data to work, they have an innate motivator: improving citizens’ lives.

Consider Chicago’s Array of Things project, an experimental network of modular sensor boxes installed around the city’s core. Think of it as an urban fitness-data tracker: The nodes collect real-time data on the city’s environment and infrastructure for research and public use, with the first units focusing on atmosphere, air quality, and environmental factors such as temperature, humidity, and light.

From this data alone, the potential applications are exciting, such as using air, sound, and vibration data to monitor vehicle traffic, or infrared sensors to measure street temperature to guide salting responses during winter storms. The thinkers behind Array of Things can even envision a downtown where street lamp poles alert pedestrians to icy sidewalk patches and apps guide people to safe nocturnal walking routes.

This is all cool stuff, but “outcome” is the key word here, says McInnis, who recommends a bottom-up approach when assessing IoT opportunities. Instead of worrying whether you currently possess the technical infrastructure to harness IoT data, he says, first determine what you want to achieve, be it water quality monitoring or winter sidewalk safety, and then work from there — you may even already have IoT data streams that can be redeployed.

And as cities like Chicago are demonstrating, the Internet of Things not only has the potential to reshape how municipalities can harness a world of increasing object-driven data; it’s helping reshape how cities think about the nature of usable data.

In other words, all these new IoT data streams are actually like water, a natural resource. And just as water flows from many sources, government IoT data can also be collected, channeled, and processed like any utility — and serve as a powerful public good. …(More)”

How Startups Are Transforming the Smart City Movement

Curated on Posted on by Stefaan Verhulst

Jason Shueh at GovTech: “Remember the 1990s visions of the future? Those first incantations of the sweeping “smart city,” so technologically utopian and Tomorrowland-ish in design? The concept and solutions were pitched by tech titans like IBM and Cisco, cost obscene amounts of money, and promised equally outlandish levels of innovation.

It was a drive — as idealistic as it was expedient — to spark a new industry that infused cities with data, analytics, sensors and clean energy. Two-and-a-half decades later, the smart city market has evolved. Its solutions are more pragmatic and its benefits more potent. Evidence brims inSingapore, where officials boast that they can predict traffic congestion an hour in advance with 90 percent accuracy. Similarly, in Chicago, the city has embraced analytics to estimate rodent infestations and prioritizerestaurant inspections. These of course are a few standouts, but as many know, the movement is highly diverse and runs its fingers through cities and across continents.

And yet what’s not as well-known is what’s happened in the last few years. The industry appears to be undergoing another metamorphosis, one that takes the ingenuity inspired by its beginnings and reimagines it with the help of do-it-yourself entrepreneurs….

Asked for a definition, Abrahamson centered his interpretation on tech that enhances quality of life. With the possible exception of health care, finance and education — systems large enough to merit their own categories, Abrahamson explains smart cities by highlighting investment areas at Urban.us. Specific areas are packaged as follows:

Mobility and Logistics: How cities move people and things to, from and within cities.

Built Environment: The public and private spaces in which citizens work and live.

Utilities: Critical resources including water, waste and energy.

Service Delivery: How local governments provide services ranging from public works to law enforcement….

Who’s Investing?

….Here is a sampling of a few types, with examples of their startup investments.

General Venture Capitalists

a16z (Andreessen Horowitz) – Mapillary and Moovit

Specialty Venture Capitalists

Fontinalis – Lyft, ParkMe, LocoMobi

Black Coral Capital – Digital Lumens, Clean Energy Collective, newterra

Govtech Fund – AmigoCloud, Mark43, MindMixer

Corporate Venture Capitalists

Google Ventures – Uber, Skycatch, Nest

Motorola Solutions Venture Capital – CyPhy Works and SceneDoc

BMW i Ventures – Life360 and ChargePoint

Impact/Social Investors

Omidyar Network – SeeClickFix and Nationbuilder

Knight Foundation – Public Stuff, Captricity

Kapor Capital – Uber, Via, Blocpower

1776 – Radiator Labs, Water Lens… (More)

The Spectrum of Control: A Social Theory of the Smart City

Curated on Posted on by Stefaan Verhulst
Sadowski , Jathan and Pasquale, Frank at First Monday: “There is a certain allure to the idea that cities allow a person to both feel at home and like a stranger in the same place. That one can know the streets and shops, avenues and alleys, while also going days without being recognized. But as elites fill cities with “smart” technologies — turning them into platforms for the “Internet of Things” (IoT): sensors and computation embedded within physical objects that then connect, communicate, and/or transmit information with or between each other through the Internet — there is little escape from a seamless web of surveillance and power. This paper will outline a social theory of the “smart city” by developing our Deleuzian concept of the “spectrum of control.” We present two illustrative examples: biometric surveillance as a form of monitoring, and automated policing as a particularly brutal and exacting form of manipulation. We conclude by offering normative guidelines for governance of the pervasive surveillance and control mechanisms that constitute an emerging critical infrastructure of the “smart city.”…(More)”

 

Memex Human Trafficking

Curated on Posted on by Stefaan Verhulst

“MEMEX is a DARPA program that explores how next generation search and extraction systems can help with real-world use cases. The initial application is the fight against human trafficking. In this application, the input is a portion of the public and dark web in which human traffickers are likely to (surreptitiously) post supply and demand information about illegal labor, sex workers, and more. DeepDive processes such documents to extract evidential data, such as names, addresses, phone numbers, job types, job requirements, information about rates of service, etc. Some of these data items are difficult for trained human annotators to accurately extract and have never been previously available, but DeepDive-based systems have high accuracy (Precision and Recall in the 90s, which may exceed non-experts). Together with provenance information, such structured, evidential data are then passed on to both other collaborators on the MEMEX program as well as law enforcement for analysis and consumption in operational applications. MEMEX has been featured extensively in the media and is supporting actual investigations. For example, every human trafficking investigation pursued by the Human Trafficking Response Unity in New York City involves MEMEX. DeepDive is the main extracted data provider for MEMEX. See also, 60 minutes, Scientific American, Wall St. Journal, BBC, and Wired. It is supporting actual investigations and perhaps new usecases in the war on terror.

Here is a detailed description of DeepDive’s role in MEMEX.”

 

Customer-Driven Government

Curated on Posted on by Stefaan Verhulst

Jane Wiseman at DataSmart City Solutions: “Public trust in government is low — of the 43 industries tracked in the American Customer Satisfaction Index, only one ranks lower than the federal government in satisfaction levels.  Local government ranks a bit higher than the federal government, but for most of the public, that makes little difference. It’s time for government to change that perception by listening to its customers and improving service delivery.

What can the cup holder in your car teach government about customer engagement? A cup holder would be hard to live without — it keeps a latte from spilling and has room for keys and a phone. But the cup holder was not always such a multi-tasker. The first ones were shallow indentations in the plastic on the inside of the glove box. Accelerate and the drinks went flying. Did a brilliant automotive engineer decide that was a design flaw and fix it? No. It was only when Chrysler received more complaints about the cup holder than about anything else in their cars that they were forced to innovate. Don Clark, a DaimlerChrysler engineer known as the “Cup Holder King,” designed the first of the modern cup holders, debuting in the company’s 1984 minivans. The engineersthought they knew what their customers wanted (more powerful engines, better fuel economy, safety features) but it wasn’t until they listened to customers’ comments that they put in the cup holder. And sales took off.

Today, we’re awash in customer feedback, seemingly everywhere but government.  Over the past decade, customer feedback ratings for products and services have shown up everywhere — whether in a review on Yelp, a “like” on Facebook, or a Tweet about the virtues or shortcomings of a product or service.  Ratings help draw attention to poor quality and allow companies to address these gaps.  Many companies routinely follow up a customer interaction with a satisfaction survey.  This data drives improvement efforts aimed at keeping customers happy.  Some companies aggressively manage their online reviews, seeking to increase their NPS, or net promoter score.  Many people really like to provide feedback — there are 77 million reviews on Yelp to date, according to the company.  Imagine the power of that many reviews of government service.

If customer input can influence the automotive industry, and can help consumers make better decisions, what if we turned this energy toward government?  After all, the government is run “by the people” and “for the people” — what if citizens gave government real-time guidance on improving services?  And could leaders in government ask customers what they want, instead of presuming to know?  This paper explores these questions and suggests a way forward.

….

If I were a mayor, how would I begin harnessing customer feedback to improve service delivery?  I would build a foundation for improving core city operations (trash pickup, pothole fixing, etc.) by using the same three questions Kansas City uses for follow-up surveys to all who contact 311.  Upon that foundation I would layer additional outreach on a tactical, ad hoc basis.  I would experiment with the growing body of tools for engaging the public in shaping tactical decisions, such as how to allocate capital projects and where to locate bike share hubs.

To get an even deeper insight into the customer experience, I might copy what Somerville, MA has done with its Secret Resident program.  Trained volunteers assess the efficiency, courtesy, and ease of use of selected city departments.  The volunteers transact typical city services by phone or in person, and then document their customer experience.  They rate the agencies, and the 311 call center, and provide assessments that can help improve customer service.

By listening to and leveraging data on constituent calls for service, government can move from a culture of reaction to a proactive culture of listening and learning from the data provided by the public.  Engaging the public, and following through on the suggestions they give, can increase not only the quality of government service, but the faith of the public that government can listen and respond.

Every leader in government should commit to getting feedback from customers — it’s the only way to know how to increase their satisfaction with the services.  There is no more urgent time to improve the customer experience…(More)

Citizen Urban Science

Curated on Posted on by Stefaan Verhulst

New report by Anthony Townsend and Alissa Chisholm at the Cities of Data Project: “Over the coming decades, the world will continue to urbanize rapidly amidst an historic migration of computing power off the desktop, unleashing new opportunities for data collection that reveal how cities function. In a recent report, Making Sense of the Science of Cities (bit.ly/sciencecities) we described an emerging global research movement that seeks establish a new urban science built atop this new infrastructure of instruments. But will this new intellectual venture be an inclusive endeavor? What role is 1 there for the growing ranks of increasingly well-equipped and well-informed citizen volunteers and amateur investigators to work alongside professional scientists? How are researchers, activists and city governments exploring that potential today? Finally, what can be done to encourage and accelerate experimentation?

This report examines three case studies that provide insight into emerging models of citizen science, highlighting the possibilities of citizen-university-government collaborative research, and the important role of open data platforms to enable these partnerships….(More)”

Index: Crime and Criminal Justice Data

Curated on Posted on by Ryan Sibley

The Living Library Index – inspired by the Harper’s Index – provides important statistics and highlights global trends in governance innovation. This installment focuses on crime and criminal justice data and was originally published in 2015.

This index provides information about the type of crime and criminal justice data collected, shared and used in the United States. Because it is well known that data related to the criminal justice system is often times unreliable, or just plain missing, this index also highlights some of the issues that stand in the way of accessing useful and in-demand statistics.

Data Collections: National Crime Statistics

  • Number of incident-based crime datasets created by the Federal Bureau of Investigation (FBI): 2
    • Number of U.S. Statistical Agencies: 13
    • How many of those are focused on criminal justice: 1, the Bureau of Justice Statistics (BJS)
    • Number of data collections focused on criminal justice the BJS produces: 61
    • Number of federal-level APIs available for crime or criminal justice data: 1, the National Crime Victimization Survey (NCVS).
    • Frequency of the NCVS: annually
  • Number of Statistical Analysis Centers (SACs), organizations that are essentially clearinghouses for crime and criminal justice data for each state, the District of Columbia, Puerto Rico and the Northern Mariana Islands: 53

Open data, data use and the impact of those efforts

  • Number of datasets that are returned when “criminal justice” is searched for on Data.gov: 417, including federal-, state- and city-level datasets
  • Number of datasets that are returned when “crime” is searched for on Data.gov: 281
  • The percentage that public complaints dropped after officers started wearing body cameras, according to a study done in Rialto, Calif.: 88
  • The percentage that reported incidents of officer use of force fell after officers started wearing body cameras, according to a study done in Rialto, Calif.: 5
  • The percent that crime decreased during an experiment in predictive policing in Shreveport, LA: 35  
  • Number of crime data sets made available by the Seattle Police Department – generally seen as a leader in police data innovation – on the Seattle.gov website: 4
    • Major crime stats by category in aggregate
    • Crime trend reports
    • Precinct data by beat
    • State sex offender database
  • Number of datasets mapped by the Seattle Police Department: 2:
      • 911 incidents
    • Police reports
  • Number of states where risk assessment tools must be used in pretrial proceedings to help determine whether an offender is released from jail before a trial: at least 11.

Police Data

    • Number of federally mandated databases that collect information about officer use of force or officer involved shootings, nationwide: 0
    • The year a crime bill was passed that called for data on excessive force to be collected for research and statistical purposes, but has never been funded: 1994
    • Number of police departments that committed to being a part of the White House’s Police Data Initiative: 21
    • Percentage of police departments surveyed in 2013 by the Office of Community Oriented Policing within the Department of Justice that are not using body cameras, therefore not collecting body camera data: 75

The criminal justice system

  • Parts of the criminal justice system where data about an individual can be created or collected: at least 6
    • Entry into the system (arrest)
    • Prosecution and pretrial
    • Sentencing
    • Corrections
    • Probation/parole
    • Recidivism

Sources

  • Crime Mapper. Philadelphia Police Department. Accessed August 24, 2014.

The Silo Effect – The Peril of Expertise and the Promise of Breaking Down Barriers

Curated on Posted on by Stefaan Verhulst

Book by Gillian Tett: “From award-winning columnist and journalist Gillian Tett comes a brilliant examination of how our tendency to create functional departments—silos—hinders our work…and how some people and organizations can break those silos down to unleash innovation.

One of the characteristics of industrial age enterprises is that they are organized around functional departments. This organizational structure results in both limited information and restricted thinking. The Silo Effect asks these basic questions: why do humans working in modern institutions collectively act in ways that sometimes seem stupid? Why do normally clever people fail to see risks and opportunities that later seem blindingly obvious? Why, as psychologist Daniel Kahneman put it, are we sometimes so “blind to our own blindness”?

Gillian Tett, journalist and senior editor for the Financial Times, answers these questions by plumbing her background as an anthropologist and her experience reporting on the financial crisis in 2008. In The Silo Effect, she shares eight different tales of the silo syndrome, spanning Bloomberg’s City Hall in New York, the Bank of England in London, Cleveland Clinic hospital in Ohio, UBS bank in Switzerland, Facebook in San Francisco, Sony in Tokyo, the BlueMountain hedge fund, and the Chicago police. Some of these narratives illustrate how foolishly people can behave when they are mastered by silos. Others, however, show how institutions and individuals can master their silos instead. These are stories of failure and success.

From ideas about how to organize office spaces and lead teams of people with disparate expertise, Tett lays bare the silo effect and explains how people organize themselves, interact with each other, and imagine the world can take hold of an organization and lead from institutional blindness to 20/20 vision. – (More)”

Using Technology, Building Democracy

Curated on Posted on by Stefaan Verhulst

Book by Jessica Baldwin-Philippi: “The days of “revolutionary” campaign strategies are gone. The extraordinary has become ordinary, and campaigns at all levels, from the federal to the municipal, have realized the necessity of incorporating digital media technologies into their communications strategies. Still, little is understood about how these practices have been taken up and routinized on a wide scale, or the ways in which the use of these technologies is tied to new norms and understandings of political participation and citizenship in the digital age. The vocabulary that we do possess for speaking about what counts as citizenship in a digital age is limited.

Drawing on ethnographic fieldwork in a federal-level election, interviews with communications and digital media consultants, and textual analysis of campaign materials, this book traces the emergence and solidification of campaign strategies that reflect what it means to be a citizen in the digital era. It identifies shifting norms and emerging trends to build new theories of citizenship in contemporary democracy. Baldwin-Philippi argues that these campaign practices foster engaged and skeptical citizens. But, rather than assess the quality or level of participation and citizenship due to the use of technologies, this book delves into the way that digital strategies depict what “good” citizenship ought to be and the goals and values behind the tactics….(More)”