Urban Exposures: How Cell Phone Data Helps Us Better Understand Human Exposure To Air Pollution


Senseable City Lab: “Global urbanization has led to one of the world’s most pressing environmental health concerns: the increasing number of people contributing to and being affected by air pollution, leading to 7 million early deaths each year. The key issue is human exposure to pollution within cities and the consequential effects on human health.

With new research conducted at MIT’s Senseable City Lab, human exposure to air pollution can now be accurately quantified at an unprecedented scale. Researchers mapped the movements of several million people using ubiquitous cell phone data, and intersected this information with neighborhood air pollution measures. Covering the expanse of New York City and its 8.5 million inhabitants, the study reveals where and when New Yorkers are most at risk of exposure to air pollution – with major implications for environment and public health policy… (More)”

The Hackable City: Citymaking in a Platform Society Authors


Martijn de Waal, Michiel de Lange, and Matthijs Bouw in Special Issue on 4D Hyperlocal: A Cultural Toolkit for the Open-Source City of Architectural Design: ” Can computer hacking have positive parallels in the shaping of the built environment? The Hackable City research project was set up with this question in mind, to investigate the potential of digital platforms to open up the citymaking process. Its cofounders Martijn de Waal, Michiel de Lange and Matthijs Bouw here outline the tendencies that their studies of collaborative urban development initiatives around the world have revealed, and ask whether knowledge sharing and incremental change might be a better way forward than top-down masterplans….(More)”

Uber debuts Movement, a new website offering access to its traffic data


 at TechCrunch: “Uber is opening up in an area where it might make sense competitively for it to stay more closed off: The ride-hailing company’s new Movement website will offer up access to its data around traffic flow in scores where it operates, intended for use by city planners and researchers looking into ways to improve urban mobility.

The basic idea is that Uber has a lot of insight into how traffic works within a city, and it can anonymize this data so that it isn’t tied to specific individuals in most cases. So where that’s possible, Uber is going to begin sharing said data, first to specific organizations who apply for early access, and then eventually to the general public.

Uber says it was looking at all the data it gathered and began to realize that it could be used for public benefit, and assembled a product team to make this happen. The result of this effort was Movement, which aims to address problems city officials and urban planners encounter when they’re forced to make key, transformational infrastructure decisions without access to all of, or the proper information about actual conditions and causes.

Essentially, according to Uber, it’s hoping to make it easier for those with influence over a city’s transportation picture to make the right decision, and to be able to explain why, where and when the changes are happening with accurate data backing them up. It also wants to do this in a way that makes it easy for organizations to work with, so it’s releasing the data organized around traffic analysis zones within cities, which are agreed-upon geographic demarcations that help with existing urban planning and traffic management.
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Users of the website can adjust things like time of day, day of week and zones to call up Uber’s data for that specific point or range, and can download the data, both with existing time series charts and in raw format for inputting into their own models. Uber says it’s looking at also releasing access to the data as an API, but is “trying to figure out how to do it in a performant way” at this stage….(More)”

Montreal monitoring city traffic via drivers’ Bluetooth


Springwise: “Rather than rely on once-yearly spot checks of traffic throughout the city, Montreal, Canada, decided to build a more comprehensive picture of what was working well, and what wasn’t working very well, around the city. Working with traffic management company Orange Traffic, the city installed more than 100 sensors along the busiest vehicular routes. The sensors pick up mobile phone Bluetooth signals, making the system inexpensive to use and install as no additional hardware or devices are needed.

Once the sensors pick up a Bluetooth signal, they track it through several measurement points to get an idea of how fast or slow traffic is moving. The data is sent to the city’s Urban Mobility Management Center. City officials are keen to emphasize that no personal data is recorded as Bluetooth signals cannot be linked to individuals. Traffic management and urban planning teams will be able to use the data to redesign problematic intersections and improve the overall mobility of the city’s streets and transport facilities.

Smart cities are those making safety and efficiency a priority, from providing digital driver licenses in India to crowdsourcing a map of cars in bike lanes in New York City….(More)”

Getting Smart on Data: Challenges and Opportunities for Transport Authorities from Emerging Data Sources


Urban Transport Group: “Transformative technological changes are shaping the world and unleashing unprecedented volumes of data. Transport is a key generator of emerging data and also stands to be a significant beneficiary of new products, services, insights and ways of working that accompany this. Emerging data will mean transport users will become far more fully informed about their travel choices whilst at the same time transform the ability of transport authorities to plan and manage transport networks and services more efficiently and effectively.The purpose of this report is to outline key challenges and opportunities from the perspective of city region transport authorities, and to articulate a case for action.

Why are we doing this? Emerging data is a rapidly changing area. It is clear from the actions of some early movers that value can be created by using this data (see case studies throughout the report). However, at present, the transport community does not fully understand the challenges and opportunities that emerging data present. Therefore, this report seeks to identify some of these unknowns and communicate the case for action in this area to our member organisations and beyond….(More)”.

Tech is moving beyond cities to focus on civic engagement in every U.S. county


 at TechCrunch: “While gridlock has taken hold in a paralyzed Washington, D.C. mayors across the country are taking a pragmatic approach to solving local problems and its time for tech to reach out to them….

The United States has 3,0007 counties. And all of them have an appetite to shift the momentum from the federal government to the communities where people live and work. This can’t just involve coastal cities or urban areas within states. Rather, after Trump’s election, now is the moment to redouble policy efforts in communities across the country from states to rural counties.

Cities from Chicago, Los Angeles, Boston, to New York have been leading the way to think about how to provide better services and engagement opportunities.  They’ve been exciting places where rich networks of talent from academia to philanthropy have been helping foster ecosystems to catalyze new policy solutions….

There are a host of illustrative experiments occurring across communities that are leveraging policy innovation, data, and technology for more responsive and inclusive governance. The engagements that work focus on process to ensure that diverse stakeholders are a part of decision making….

Wisconsin:

In Eau Claire, Wisconsin a local organization called Clear Vision is teaming up with stakeholders on a poverty summit to reduce the number of people living poverty in income insecurity and build more resilient and inclusive communities. Citizen action groups will work on key issues they identify as part of the engagement process.

A key component of this poverty summit is to bring in traditionally marginalized communities into the process including low-income households, rural poor, youth and black and Hispanic communities. There is even a community-supported, nonprofit journalism site to support the local work in Eau Claire, Chippewa, and Dunn counties….

Oregon:

In Oregon, a “Kitchen Table” is enabling residents from across the state to contribute ideas, resources, and feedback to inform public policy. The Kitchen Table enables public officials to consult with representatives about key policy areas, crowdfund, and micro-lend for local startups and community businesses….

Another practice in Oregon is the Citizens Initiative Review, where a representative sampling of citizens convenes for deliberations over several days to discuss state ballot measures.  After being established by the state’s bipartisan legislature in 2009, there have been six random representative samples of citizens for multi-day deliberations to draft voting guides written for the people, by their neighbors….

 

This requires tapping into existing networks and civic organizations, leveraging data, technology and policy innovations, and re-shifting our focus from federal policy towards building an infrastructure of governance that is durable through collective development and buy-in from people…(More)”

Esri, Waze Partnership: A Growing Trend in Sharing Data for the Benefit of All?


Justine Brown at GovTech: “Esri and Waze announced in mid-October that they’re partnering to help local governments alleviate traffic congestion and analyze congestion patterns. Called the Waze Connected Citizens Program, the program — which enables local governments that use the Esri ArcGIS platform to exchange publicly available traffic data with Waze — may represent a growing trend in which citizens and government share data for the benefit of all.

Connecting Esri and Waze data will allow cities to easily share information about the conditions of their roads with drivers, while drivers anonymously report accidents, potholes and other road condition information back to the cities. Local governments can then merge that data into their existing emergency dispatch and street maintenance systems….

Through the Connected Citizen program, Waze shares two main data sets with its government partners: Jams and Alerts….If there’s a major traffic jam in an unusual area, a traffic management center operator might be triggered to examine that area further. For example, Boston recently used Waze jam data to identify a couple of traffic-prone intersections in the Seaport district….Similarly if a Waze user reports a crash, that information shows up on the city’s existing ArcGIS map. City personnel can assess the crash and combine the Waze data with its existing data sets, if desired. The city can then notify emergency response, for example, to address the accident and send out emergency vehicles if necessary….

The Connected Citizen Program could also provide local governments an alternative to IoT investments, because a city can utilize real-time reports from the road rather than investing in sensors and IoT infrastructure. The Kentucky Transportation Cabinet, for instance, uses data from the Connected Citizen Program in several ways, including to monitor and detect automobile accidents on its roadways….(More)”

Data Literacy – What is it and how can we make it happen?


Introduction by Mark Frank, Johanna Walker, Judie Attard, Alan Tygel of Special Issue on Data Literacy of The Journal of Community Informatics: “With the advent of the Internet and particularly Open Data, data literacy (the ability of non-specialists to make use of data) is rapidly becoming an essential life skill comparable to other types of literacy. However, it is still poorly defined and there is much to learn about how best to increase data literacy both amongst children and adults. This issue addresses both the definition of data literacy and current efforts on increasing and sustaining it. A feature of the issue is the range of contributors. While there are important contributions from the UK, Canada and other Western countries, these are complemented by several papers from the Global South where there is an emphasis on grounding data literacy in context and relating it the issues and concerns of communities. (Full Text: PDF)

See also:

Creating an Understanding of Data Literacy for a Data-driven Society by Annika Wolff, Daniel Gooch, Jose J. Cavero Montaner, Umar Rashid, Gerd Kortuem

Data Literacy defined pro populo: To read this article, please provide a little information by David Crusoe

Data literacy conceptions, community capabilities by Paul Matthews

Urban Data in the primary classroom: bringing data literacy to the UK curriculum by Annika Wolff, Jose J Cavero Montaner, Gerd Kortuem

Contributions of Paulo Freire for a Critical Data Literacy: a Popular Education Approach by Alan Freihof Tygel, Rosana Kirsch

DataBasic: Design Principles, Tools and Activities for Data Literacy Learners by Catherine D’Ignazio, Rahul Bhargava

Perceptions of ICT use in rural Brazil: Factors that impact appropriation among marginalized communities by Paola Prado, J. Alejandro Tirado-Alcaraz, Mauro Araújo Câmara

Graphical Perception of Value Distributions: An Evaluation of Non-Expert Viewers’ Data Literacy by Arkaitz Zubiaga, Brian Mac Namee

Co-Creating the Cities of the Future


Essay by Luis Muñoz in the Special Issue of “Sensors” on Smart City: Vision and Reality : “In recent years, the evolution of urban environments, jointly with the progress of the Information and Communication sector, have enabled the rapid adoption of new solutions that contribute to the growth in popularity of Smart Cities. Currently, the majority of the world population lives in cities encouraging different stakeholders within these innovative ecosystems to seek new solutions guaranteeing the sustainability and efficiency of such complex environments. In this work, it is discussed how the experimentation with IoT technologies and other data sources form the cities can be utilized to co-create in the OrganiCity project, where key actors like citizens, researchers and other stakeholders shape smart city services and applications in a collaborative fashion. Furthermore, a novel architecture is proposed that enables this organic growth of the future cities, facilitating the experimentation that tailors the adoption of new technologies and services for a better quality of life, as well as agile and dynamic mechanisms for managing cities. In this work, the different components and enablers of the OrganiCity platform are presented and discussed in detail and include, among others, a portal to manage the experiment life cycle, an Urban Data Observatory to explore data assets, and an annotations component to indicate quality of data, with a particular focus on the city-scale opportunistic data collection service operating as an alternative to traditional communications. (View Full-Text)”

The ethical impact of data science


Theme issue of Phil. Trans. R. Soc. A compiled and edited by Mariarosaria Taddeo and Luciano Floridi: “This theme issue has the founding ambition of landscaping data ethics as a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing and use), algorithms (including artificial intelligence, artificial agents, machine learning and robots) and corresponding practices (including responsible innovation, programming, hacking and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data ethics builds on the foundation provided by computer and information ethics but, at the same time, it refines the approach endorsed so far in this research field, by shifting the level of abstraction of ethical enquiries, from being information-centric to being data-centric. This shift brings into focus the different moral dimensions of all kinds of data, even data that never translate directly into information but can be used to support actions or generate behaviours, for example. It highlights the need for ethical analyses to concentrate on the content and nature of computational operations—the interactions among hardware, software and data—rather than on the variety of digital technologies that enable them. And it emphasizes the complexity of the ethical challenges posed by data science. Because of such complexity, data ethics should be developed from the start as a macroethics, that is, as an overall framework that avoids narrow, ad hoc approaches and addresses the ethical impact and implications of data science and its applications within a consistent, holistic and inclusive framework. Only as a macroethics will data ethics provide solutions that can maximize the value of data science for our societies, for all of us and for our environments….(More)”

Table of Contents:

  • The dynamics of big data and human rights: the case of scientific research; Effy Vayena, John Tasioulas
  • Facilitating the ethical use of health data for the benefit of society: electronic health records, consent and the duty of easy rescue; Sebastian Porsdam Mann, Julian Savulescu, Barbara J. Sahakian
  • Faultless responsibility: on the nature and allocation of moral responsibility for distributed moral actions; Luciano Floridi
  • Compelling truth: legal protection of the infosphere against big data spills; Burkhard Schafer
  • Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems; Sabina Leonelli
  • Privacy is an essentially contested concept: a multi-dimensional analytic for mapping privacy; Deirdre K. Mulligan, Colin Koopman, Nick Doty
  • Beyond privacy and exposure: ethical issues within citizen-facing analytics; Peter Grindrod
  • The ethics of smart cities and urban science; Rob Kitchin
  • The ethics of big data as a public good: which public? Whose good? Linnet Taylor
  • Data philanthropy and the design of the infraethics for information societies; Mariarosaria Taddeo
  • The opportunities and ethics of big data: practical priorities for a national Council of Data Ethics; Olivia Varley-Winter, Hetan Shah
  • Data science ethics in government; Cat Drew
  • The ethics of data and of data science: an economist’s perspective; Jonathan Cave
  • What’s the good of a science platform? John Gallacher