New book edited by Mola, Lapo, Pennarola, Ferdinando, and Za, Stefano: “This book presents a collection of research papers focusing on issues emerging from the interaction of information technologies and organizational systems. In particular, the individual contributions examine digital platforms and artifacts currently adopted in both the business world and society at large (people, communities, firms, governments, etc.). The topics covered include: virtual organizations, virtual communities, smart societies, smart cities, ecological sustainability, e-healthcare, e-government, and interactive policy-making (IPM)…”
The Role Of Open Data In Choosing Neighborhood
PlaceILive Blog: “To what extent is it important to get familiar with our environment?
If we think about how the world surrounding us has changed throughout the years, it is not so unreasonable that, while walking to work, we might encounter some new little shops, restaurants, or gas stations we had never noticed before. Likewise, how many times did we wander about for hours just to find green spaces for a run? And the only one we noticed was even more polluted than other urban areas!
Citizens are not always properly informed about the evolution of the places they live in. And that is why it would be crucial for people to be constantly up-to-date with accurate information of the neighborhood they have chosen or are going to choose.
London is a neat evidence of how transparency in providing data is basic in order to succeed as a Smart City.
The GLA’s London Datastore, for instance, is a public platform of datasets revealing updated figures on the main services offered by the town, in addition to population’s lifestyle and environmental risks. These data are then made more easily accessible to the community through the London Dashboard.
The importance of dispensing free information can be also proved by the integration of maps, which constitute an efficient means of geolocation. Consulting a map where it’s easy to find all the services you need as close as possible can be significant in the search for a location.
(source: Smart London Plan)
The Open Data Index, published by The Open Knowledge Foundation in 2013, is another useful tool for data retrieval: it showcases a rank of different countries in the world with scores based on openness and availability of data attributes such as transport timetables and national statistics.
Here it is possible to check UK Open Data Census and US City Open Data Census.
As it was stated, making open data available and easily findable online not only represented a success for US cities but favoured apps makers and civic hackers too. Lauren Reid, a spokesperson at Code for America, reported according to Government Technology: “The more data we have, the better picture we have of the open data landscape.”
That is, on the whole, what Place I Live puts the biggest effort into: fostering a new awareness of the environment by providing free information, in order to support citizens willing to choose the best place they can live.
The outcome is soon explained. The website’s homepage offers visitors the chance to type address of their interest, displaying an overview of neighborhood parameters’ evaluation and a Life Quality Index calculated for every point on the map.
The research of the nearest medical institutions, schools or ATMs thus gets immediate and clear, as well as the survey about community’s generic information. Moreover, data’s reliability and accessibility are constantly examined by a strong team of professionals with high competence in data analysis, mapping, IT architecture and global markets.
For the moment the company’s work is focused on London, Berlin, Chicago, San Francisco and New York, while higher goals to reach include more than 200 cities.
US Open Data Census finally saw San Francisco’s highest score achievement as a proof of the city’s labour in putting technological expertise at everyone’s disposal, along with the task of fulfilling users’ needs through meticulous selections of datasets. This challenge seems to be successfully overcome by San Francisco’s new investment, partnering with the University of Chicago, in a data analytics dashboard on sustainability performance statistics named Sustainable Systems Framework, which is expected to be released in beta version by the the end of 2015’s first quarter.
Another remarkable collaboration in Open Data’s spread comes from the Bartlett Centre for Advanced Spatial Analysis (CASA) of the University College London (UCL); Oliver O’Brien, researcher at UCL Department of Geography and software developer at the CASA, is indeed one of the contributors to this cause.
Among his products, an interesting accomplishment is London’s CityDashboard, a real-time reports’ control panel in terms of spatial data. The web page also allows to visualize the whole data translated into a simplified map and to look at other UK cities’ dashboards.
Plus, his Bike Share Map is a live global view to bicycle sharing systems in over a hundred towns around the world, since bike sharing has recently drawn a greater public attention as an original form of transportation, in Europe and China above all….”
Dubai detectives to get Google Glass to fight crime
Reuters: “Dubai police plan to issue detectives with Google Glass hands-free eyewear to help them fight crime using facial recognition technology, a police spokesman in the wealthy Gulf Arab emirate said.
The wearable device consists of a tiny computer screen mounted in the corner of an eyeglass frame and is capable of taking photos, recording video and playing sound.The spokesman confirmed a report in Dubai’s 7 Days newspaper that software developed by Dubai police would enable a connection between the wearer and a database of wanted people. Once the device “recognized” a suspect based on a face print, it would alert the officer wearing the gadget.
The gadget would be used in a first phase to combat traffic violations and track vehicles suspected of involvement in motoring offences. A second phase would see the technology rolled out to detectives, the spokesman said.
The U.S. Internet company said in a blogpost in May that anyone in the United States could buy the gadget for $1,500.
Dubai’s decision appears in line with the authorities’ determination to spare no expense in equipping the police…”
Data-based Civic Participation
New workshop paper by C. A. Le Dantec in HCOMP 2014/Citizen + X: Workshop on Volunteer-based Crowdsourcing in Science, Public Health and Government, Pittsburgh, PA. November 2, 2014: “Within the past five years, a new form of technology -mediated public participation that experiments with crowdsourced data production in place of community discourse has emerged. Examples of this class of system include SeeClickFix, PublicStuff, and Street Bump, each of which mediate feedback about local neighborhood issues and help communities mobilize resources to address those issues. The experiments being playing out by this new class of services are derived from a form of public participation built on the ideas of smart cities where residents and physical environments are instrumented to provide data to improve operational efficiency and sustainability (Caragliu, Del Bo, and Nijkamp 2011). Ultimately, smart cities is the application to local government all the efficiencies that computing has always promised—efficiencies of scale, of productivity, of data—minus the messiness and contention of citizenship that play out through more traditional modes of public engagement and political discourse.
The question then, is what might it look like to incorporate more active forms of civic participation and issue advocacy in an app- and data-driven world? To begin to explore this question, my students and I have developed a smartphone app as part of a larger regional planning partnership with the City of Atlanta and the Atlanta Regional Commission. The app, called Cycle Atlanta, enables cyclists to record their ride data —where they have gone, why they went there, what kind of cyclist they are— in an effort to both generate data for planners developing new bicycling infrastructure and to broaden public participation and input in the creation of those plans…”
Journey tracking app will use cyclist data to make cities safer for bikes
Springwise: “Most cities were never designed to cater for the huge numbers of bikes seen on their roads every day, and as the number of cyclists grows, so do the fatality statistics thanks to limited investment in safe cycle paths. While Berlin already crowdsources bikers’ favorite cycle routes and maps them through the Dynamic Connections platform, a new app called WeCycle lets cyclists track their journeys, pooling their data to create heat maps for city planners.
Created by the UK’s TravelAI transport startup, WeCycle taps into the current consumer trend for quantifying every aspect of life, including journey times. By downloading the free iOS app, London cyclists can seamlessly create stats each time they get on their bike. They app runs in the background and uses the device’s accelerometer to smartly distinguish walking or running from cycling. They can then see how far they’ve traveled, how fast they cycle and every route they’ve taken. Additionally, the app also tracks bus and car travel.
Anyone that downloads the app agrees that their data can be anonymously sent to TravelAI, creating an accurate and real-time information resource. It aims to create tools such as heat maps and behavior monitoring for cities and local authorities to learn more about how citizens are using roads to better inform their transport policies.
WeCycle follows in the footsteps of similar apps such as Germany’s Radwende and the Toronto Cycling App — both released this year — in taking a popular trend and turning into data that could help make cities a safer place to cycle….Website: www.travelai.info“
Smart cities: moving beyond urban cybernetics to tackle wicked problems
Paper by Robert Goodspeed in the Cambridge Journal of Regions Economy and Society: This article makes three related arguments. First, that although many definitions of the smart city have been proposed, corporate promoters say a smart city uses information technology to pursue efficient systems through real-time monitoring and control. Second, this definition is not new and equivalent to the idea of urban cybernetics debated in the 1970s. Third, drawing on a discussion of Rio de Janeiro’s Operations Center, I argue that viewing urban problems as wicked problems allows for more fundamental solutions than urban cybernetics, but requires local innovation and stakeholder participation. Therefore the last section describes institutions for municipal innovation and IT-enabled collaborative planning.”
The city as living labortory: A playground for the innovative development of smart city applications
Paper by Veeckman, Carina and van der Graaf, Shenja: “Nowadays the smart-city concept is shifting from a top-down, mere technological approach towards bottom-up processes that are based on the participation of creative citizens, research organisations and companies. Here, the city acts as an urban innovation ecosystem in which smart applications, open government data and new modes of participation are fostering innovation in the city. However, detailed analyses on how to manage smart city initiatives as well as descriptions of underlying challenges and barriers seem still scarce. Therefore, this paper investigates four, collaborative smart city initiatives in Europe to learn how cities can optimize the citizen’s involvement in the context of open innovation. The analytical framework focuses on the innovation ecosystem and the civic capacities to engage in the public domain. Findings show that public service delivery can be co-designed between the city and citizens, if different toolkits aligned with the specific capacities and skills of the users are provided. By providing the right tools, even ordinary citizens can take a much more active role in the evolution of their cities and generate solutions from which both the city and everyday urban life can possibly benefit.”
App offers a comprehensive guide to local and real-time parking restrictions
Springwise: “Finding a parking space in big cities can be a nightmare, which recently prompted on-demand valet service Caarbon to do the job for drivers. But even when a space is discovered, it’s easy to fall foul of rules and regulations that aren’t clearly marked or are just plain confusing. AppyParking is an app that details paid and non-paid parking spaces in real time, as well as factors such as congestion charges and special restrictions.
The main interface of the app is a map of the local area. Users first select the type of parking space they’re looking for, whether it’s a paid meter bay, car park, disabled parking space or even a vacant resident’s driveway through a partnership with ParkatmyHouse. AppyParking shows the nearest locations, along with details about any rules in place. A green thumbs up means it’s free to park at the current time, but a red thumbs down means that there’s a charge or the space has resident priority at the time, suggesting the driver may want to look elsewhere. The app features up-to-date information on parking restrictions for each individual space, including changes on public holidays. It also alerts users if large events such as soccer games are scheduled to take place that might affect their ability to park.
Watch the video to learn more about the app.
Website: www.appyparking.com“
Business Models That Take Advantage of Open Data Opportunities
The OKFestival—hosted by the Open Knowledge Foundation—brought together more than 1,000 participants from around the globe working on various aspects of the open data agenda: the use of corporate data, open science research, government open data and crowdsourced data projects.
In a session held on the first day of the event, Borlongan facilitated an interactive workshop to help would-be entrepreneurs understand how startups are building business models that take advantage of open data opportunities to create sustainable, employment-generating businesses.
Citing research from the McKinsey Institute that calculates the value of open data to be worth $3 trillion globally, Borlongan said: “So the understanding of the open data process is usually: We throw open data over the wall, then we hold a hackathon, and then people will start making products off it, and then we make the $3 trillion.”
Borlongan argued that it is actually a “blurry identity to be an open data startup” and encouraged participants to unpack, with each of the startups presenting exactly how income can be generated and a viable business built in this space.
Jeni Tennison, from the U.K.’s Open Data Institute (which supports 15 businesses in its Startup Programme) categorizes two types of business models:
In a session held on the first day of the event, Borlongan facilitated an interactive workshop to help would-be entrepreneurs understand how startups are building business models that take advantage of open data opportunities to create sustainable, employment-generating businesses.
Citing research from the McKinsey Institute that calculates the value of open data to be worth $3 trillion globally, Borlongan said: “So the understanding of the open data process is usually: We throw open data over the wall, then we hold a hackathon, and then people will start making products off it, and then we make the $3 trillion.”
Borlongan argued that it is actually a “blurry identity to be an open data startup” and encouraged participants to unpack, with each of the startups presenting exactly how income can be generated and a viable business built in this space.
Jeni Tennison, from the U.K.’s Open Data Institute (which supports 15 businesses in its Startup Programme) categorizes two types of business models:
- Businesses that publish (but do not sell) open data.
- Businesses built on top of using open data.
Businesses That Publish but Do Not Sell Open Data
At the Open Data Institute, Tennison is investigating the possibility of an open address database that would provide street address data for every property in the U.K. She describes three types of business models that could be created by projects that generated and published such data:
Freemium: In this model, the bulk data of open addresses could be made available freely, “but if you want an API service, then you would pay for it.” Tennison pointed to lots of opportunities also to degrade the freemium-level data—for example, having it available in bulk but not at a particularly granular level (unless you pay for it), or by provisioning reuse on a share-only basis, but you would pay if you wanted the data for corporate use cases (similar to how OpenCorporates sells access to its data).
Cross-subsidy: In this approach, the data would be available, and the opportunities to generate income would come from providing extra services, like consultancy or white labeling data services alongside publishing the open data.
Network: In this business model, value is created by generating a network effect around the core business interest, which may not be the open data itself. As an example, Tennison suggested that if a post office or delivery company were to create the open address database, it might be interested in encouraging private citizens to collaboratively maintain or crowdsource the quality of the data. The revenue generated by this open data would then come from reductions in the cost of delivery services as the data improved accuracy.
Businesses Built on Top of Open Data
Six startups working in unique ways to make use of available open data also presented their business models to OKFestival attendees: Development Seed, Mapbox, OpenDataSoft, Enigma.io, Open Bank API, and Snips.
Startup: Development Seed
What it does: Builds solutions for development, public health and citizen democracy challenges by creating open source tools and utilizing open data.
Open data API focus: Regularly uses open data APIs in its projects. For example, it worked with the World Bank to create a data visualization website built on top of the World Bank API.
Type of business model: Consultancy, but it has also created new businesses out of the products developed as part of its work, most notably Mapbox (see below).
Startup: Enigma.io
What it does: Open data platform with advanced discovery and search functions.
Open data API focus: Provides the Enigma API to allow programmatic access to all data sets and some analytics from the Enigma platform.
Type of business model: SaaS including a freemium plan with no degradation of data and with access to API calls; some venture funding; some contracting services to particular enterprises; creating new products in Enigma Labs for potential later sale.
Startup: Mapbox
What it does: Enables users to design and publish maps based on crowdsourced OpenStreetMap data.
Open data API focus: Uses OpenStreetMap APIs to draw data into its map-creation interface; provides the Mapbox API to allow programmatic creation of maps using Mapbox web services.
Type of business model: SaaS including freemium plan; some tailored contracts for big map users such as Foursquare and Evernote.
Startup: Open Bank Project
What it does: Creates an open source API for use by banks.
Open data API focus: Its core product is to build an API so that banks can use a standard, open source API tool when creating applications and web services for their clients.
Type of business model: Contract license with tiered SLAs depending on the number of applications built using the API; IT consultancy projects.
Startup: OpenDataSoft
What it does: Provides an open data publishing platform so that cities, governments, utilities and companies can publish their own data portal for internal and public use.
Open data API focus: It’s able to route data sources into the portal from a publisher’s APIs; provides automatic API-creation tools so that any data set uploaded to the portal is then available as an API.
Type of business model: SaaS model with freemium plan, pricing by number of data sets published and number of API calls made against the data, with free access for academic and civic initiatives.
Startup: Snips
What it does: Predictive modeling for smart cities.
Open data API focus: Channels some open and client proprietary data into its modeling algorithm calculations via API; provides a predictive modeling API for clients’ use to programmatically generate solutions based on their data.
Type of business model: Creating one B2C app product for sale as a revenue-generation product; individual contracts with cities and companies to solve particular pain points, such as using predictive modeling to help a post office company better manage staff rosters (matched to sales needs) and a consultancy project to create a visualization mapping tool that can predict the risk of car accidents for a city….”
A framework for measuring smart cities
Paper by Félix Herrera Priano and Cristina Fajardo Guerra for the Proceedings of the 15th Annual International Conference on Digital Government Research: “Smart cities are an international phenomenon. Many cities are actively working to build or transform their models toward that of a Smart City. There is constant research and reports devoted to measuring the intelligence of cities through establishing specific methodologies and indicators (grouped by various criteria).
We believe the subject lacks a certain uniformity, which we aim to redress in this paper by suggesting a framework for properly measuring the smart level of a city.
Cities are complex and heterogeneous structures, which complicates comparisons between them. To address this we propose an N–dimensional measurement framework where each level or dimension supplies information of interest that is evaluated independently. As a result, the measure of a city’s intelligence is the result of the evaluations obtained for each of these levels.
To this end, we have typified the transformation (city to smart city) and the measurement (smart city ranking) processes.”