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)

Give me location data, and I shall move the world

Curated on Posted on by Stefaan Verhulst

Marta Poblet at the Conversation: “Behind the success of the new wave of location based mobile apps taking hold around the world is digital mapping. Location data is core to popular ride-sharing services such as Uber and Lyft, but also to companies such as Amazon or Domino’s Pizza, which are testing drones for faster deliveries.

Last year, German delivery firm DHL launched its first “parcelcopter” to send medication to the island of Juist in the Northern Sea. In the humanitarian domain, drones are also being tested for disaster relief operations.

Better maps can help app-led companies gain a competitive edge, but it’s hard to produce them at a global scale. …

A flagship base map for the past ten years has been OpenStreetMap (OSM), also known as the “Wikipedia of mapping”. With more than two million registered users, OpenStreetMap aims to create a free map of the world. OSM volunteers have been particularly active in mapping disaster-affected areas such as Haiti, the Philippines or Nepal. A recent study reports how humanitarian response has been a driver of OSM’s evolution, “in part because open data and participatory ideals align with humanitarian work, but also because disasters are catalysts for organizational innovation”….

Intense competition for digital maps also flags the start of the self-driving car race. Google is already testing its prototypes outside Silicon Valley and Apple has been rumoured to work on a secret car project code named Titan.

Uber has partnered with Carnegie Mellon and Arizona Universities to work on vehicle safety and cheaper laser mapping systems. Tesla is also planning to make its electric cars self-driving.

Legal and ethical challenges are not to be underestimated either. Most countries impose strict limits on testing self-driving cars on public roads. Similar limitations apply to the use of civilian drones. And the ethics of fully autonomous cars is still in its infancy. Autonomous cars probably won’t be caught texting, but they will still be confronted with tough decisions when trying to avoid potential accidents. Current research engages engineers and philosophers to work on how to assist cars when making split-second decisions that can raise ethical dilemmas….(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.”

 

Enabling the Data Revolution: An International Open Data Roadmap

Curated on Posted on by Stefaan Verhulst

IODC 2015: “The 3rd International Open Data Conference held in Ottawa, Canada May 28-29, 2015 was a great success. With over 1000 participants, 58 panels and workshops, ten parallel tracks, over 200 speakers, and more than 29 fringe events over 9 days, IODC was truly a global gathering.

We are excited to introduce the 3rd International Open Data Conference Final Report titled “Enabling the Data Revolution: An International Open Data Roadmap”.

This report draws upon the many discussions that took place in Ottawa at IODC, providing a summary of key topics and debates, and providing a shared vision of the road ahead for the IODC community. It is designed not as a single statement on open data, but rather as a curated record of discussions and debates, providing a snapshot of key issues and setting out a path forward based on the visions, ideas, and agreements explored at IODC.

ReportCover

Download Report

foldExplore the interactive version of the report on Fold.

The Merit Principle in Crisis

Curated on Posted on by Stefaan Verhulst

Commentary in Governance: “In the United States, the presidential race is heating up, and one result is an increasing number of assaults on century-old ideas about the merit-based civil service.  “The merit principle is under fierce attack,” says Donald Kettl, in a new commentary for Governance.  Kettl outlines five “tough questions” that are raised by attacks on the civil service system — and says that the US research community “has been largely asleep at the switch” on all of them.  Within major public policy schools, courses on the public service have been “pushed to the side.”  A century ago, American academics helped to build the American state.  Kettl warns that “scholarly neglect in the 2000s could undermine it.”  Read the commentary.

Innovative Study Supports Asteroid Initiative, Journey To Mars

Curated on Posted on by Stefaan Verhulst

David Steitz at NASA: “Innovation is a primary tool for problem solving at NASA. Whether creating new robotic spacecraft to explore asteroids or developing space habitats for our journey to Mars, innovative thinking is key to our success. NASA leads the federal government in cutting edge methods for conceptualizing and then executing America’s space exploration goals.

One example of NASA innovation is the agency’s work with the Expert and Citizen Assessment of Science and Technology (ECAST) Network. The ECAST group provided a citizen-focused, participatory technology assessment of NASA’s Asteroid Initiative, increasing public understanding of and engagement in the initiative while also providing the agency with new knowledge for use in planning our future missions.

“Participatory Exploration includes public engagement as we chart the course for future NASA activities, ranging from planetary defense to boots on Mars,” said Jason Kessler, program executive for NASA’s Asteroid Grand Challenge within the Office of the Chief Technologist at NASA Headquarters in Washington. “The innovative methodology for public engagement that the ECAST has given us opens new avenues for dialog directly with stakeholders across the nation, Americans who have and want to share their ideas with NASA on activities the agency is executing, now and in the future.”

In addition to formal “requests for information” or forums with industry for ideas, NASA employed ECAST to engage in a “participatory technology assessment,” an engagement model that seeks to improve the outcomes of science and technology decision-making through dialog with informed citizens. Participatory technology assessment involves engaging a group of non-experts who are representative of the general population but who—unlike political, academic, and industry stakeholders—who are often underrepresented in technology-related policymaking….(More)”

Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots

Curated on Posted on by Stefaan Verhulst

Book description: “Robots are poised to transform today’s society as completely as the Internet did twenty years ago. Pulitzer prize-winning New York Times science writer John Markoff argues that we must decide to design ourselves into our future, or risk being excluded from it altogether.

In the past decade, Google introduced us to driverless cars; Apple debuted Siri, a personal assistant that we keep in our pockets; and an Internet of Things connected the smaller tasks of everyday life to the farthest reaches of the Web. Robots have become an integral part of society on the battlefield and the road; in business, education, and health care. Cheap sensors and powerful computers will ensure that in the coming years, these robots will act on their own. This new era offers the promise of immensely powerful machines, but it also reframes a question first raised more than half a century ago, when the intelligent machine was born. Will we control these systems, or will they control us?

In Machines of Loving Grace, John Markoff offers a sweeping history of the complicated and evolving relationship between humans and computers. In recent years, the pace of technological change has accelerated dramatically, posing an ethical quandary. If humans delegate decisions to machines, who will be responsible for the consequences? As Markoff chronicles the history of automation, from the birth of the artificial intelligence and intelligence augmentation communities in the 1950s and 1960s, to the modern-day brain trusts at Google and Apple in Silicon Valley, and on to the expanding robotics economy around Boston, he traces the different ways developers have addressed this fundamental problem and urges them to carefully consider the consequences of their work. We are on the brink of the next stage of the computer revolution, Markoff argues, and robots will profoundly transform modern life. Yet it remains for us to determine whether this new world will be a utopia. Moreover, it is now incumbent upon the designers of these robots to draw a bright line between what is human and what is machine.

After nearly forty years covering the tech industry, Markoff offers an unmatched perspective on the most drastic technology-driven societal shifts since the introduction of the Internet. Machines of Loving Grace draws on an extensive array of research and interviews to present an eye-opening history of one of the most pressing questions of our time, and urges us to remember that we still have the opportunity to design ourselves into the future—before it’s too late….(More)”

How Africa can benefit from the data revolution

Curated on Posted on by Stefaan Verhulst

 in The Guardian: “….The modern information infrastructure is about movement of data. From data we derive information and knowledge, and that knowledge can be propagated rapidly across the country and throughout the world. Facebook and Google have both made massive investments in machine learning, the mainstay technology for converting data into knowledge. But the potential for these technologies in Africa is much larger: instead of simply advertising products to people, we can imagine modern distributed health systems, distributed markets, knowledge systems for disease intervention. The modern infrastructure should be data driven and deployed across the mobile network. A single good idea can then be rapidly implemented and distributed via the mobile phone app ecosystems.

The information infrastructure does not require large scale thinking and investment to deliver. In fact, it requires just the reverse. It requires agility and innovation. Larger companies cannot react quickly enough to exploit technological advances. Small companies with a good idea can grow quickly. From IBM to Microsoft, Google and now Facebook. All these companies now agree on one thing: data is where the value lies. Modern internet companies are data-driven from the ground up. Could the same thing happen in Africa’s economies? Can entire countries reformulate their infrastructures to be data-driven from the ground up?

Maybe, or maybe not, but it isn’t necessary to have a grand plan to give it a go. It is already natural to use data and communication to solve real world problems. In Silicon Valley these are the challenges of getting a taxi or reserving a restaurant. In Africa they are often more fundamental. John Quinn has been in Kampala, Uganda at Makerere University for eight years now targeting these challenges. In June this year, John and other researchers from across the region came together for Africa’s first workshop on data science at Dedan Kimathi University of Technology. The objective was to spread knowledge of technologies, ideas and solutions. For the modern information infrastructure to be successful software solutions need to be locally generated. African apps to solve African problems. With this in mind the workshop began with a three day summer school on data science which was then followed by two days of talks on challenges in African data science.

The ideas and solutions presented were cutting edge. The Umati project uses social media to understand the use of ethnic hate speech in Kenya (Sidney Ochieng, iHub, Nairobi). The use of social media for monitoring the evolution and effects of Ebola in west Africa (Nuri Pashwani, IBM Research Africa). The Kudusystem for market making in Ugandan farm produce distribution via SMS messages (Kenneth Bwire, Makerere University, Kampala). Telecommunications data for inferring the source and spread of a typhoid outbreak in Kampala (UN Pulse Lab, Kampala). The Punya system for prototyping and deployment of mobile phone apps to deal with emerging crises or market opportunities (Julius Adebayor, MIT) and large scale systems for collating and sharing data resources Open Data Kenya and UN OCHA Human Data Exchange….(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)”