Laura Mallonee in the Atlantic: “On a spring Sunday in a Soho penthouse, ten people have gathered for a digital mapping “Edit-A-Thon.” Potted plants grow to the ceiling and soft cork carpets the floor. At a long wooden table, an energetic woman named Liz Barry is showing me how to map my neighborhood. “This is what you’ll see when you look at OpenStreetMap,” she says.
Though visually similar to Google’s, the map on the screen gives users unfettered access to its underlying data — anyone can edit it. Barry lives in Williamsburg, and she’s added many of the neighborhood’s boutiques and restaurants herself. “Sometimes when I’m tired at the end of the day and can’t work anymore, I just edit OpenStreetMap,” she says. “Kind of a weird habit.” Barry then shows me the map’s “guts.” I naively assume it will be something technical and daunting, but it’s just an editable version of the same map, with tools that let you draw roads, identify landmarks, and even label your own house.”
BaltimoreCode.org
Press Release: “The City of Baltimore’s Chief Technology Officer Chris Tonjes and the non-partisan, non-profit OpenGov Foundation announced today the launch of BaltimoreCode.org, a free software platform that empowers all Baltimore residents to discover, access, and use local laws when they want, and how they want.
BaltimoreCode.org lifts and ‘liberates’ the Baltimore City Charter and Code from unalterable, often hard to find online files —such as PDFs—by inserting them into user-friendly, organized and modern website formats. This straightforward switch delivers significant results: more clarity, context, and public understanding of the laws’ impact on Baltimore citizens’ daily lives. For the first-time, BaltimoreCode.org allows uninhibited reuse of City law data by everyday Baltimore residents to use, share, and spread as they see fit. Simply, BaltimoreCode.org gives citizens the information they need, on their terms.”
Next.Data.gov
Nick Sinai at the White House Blog: “Today, we’re excited to share a sneak preview of a new design for Data.gov, called Next.Data.gov. The upgrade builds on the President’s May 2013 Open Data Executive Order that aims to fuse open-data practices into the Federal Government’s DNA. Next.Data.gov is far from complete (think of it as a very early beta), but we couldn’t wait to share our design approach and the technical details behind it – knowing that we need your help to make it even better. Here are some key features of the new design:
Leading with Data: The Data.gov team at General Services Administration (GSA), a handful of Presidential Innovation Fellows, and OSTP staff designed Next.Data.Gov to put data first. The team studied the usage patterns on Data.gov and found that visitors were hungry for examples of how data are used. The team also noticed many sources, such as tweets and articles outside of Data.gov featuring Federal datasets in action. So Next.Data.gov includes a rich stream that enables each data community to communicate how its datasets are impacting companies and the public.
In this dynamic stream, you’ll find blog posts, tweets, quotes, and other features that more fully showcase the wide range of information assets that exist within the vaults of government.
Powerful Search: The backend of Next.Data.gov is CKAN and is powered by Solr—a powerful search engine that will make it even easier to find relevant datasets online. Suggested search terms have been added to help users find (and type) things faster. Next.Data.gov will start to index datasets from agencies that publish their catalogs publicly, in line with the President’s Open Data Executive Order. The early preview launching today features datasets from the Department of Health and Human Services—one of the first Federal agencies to publish a machine-readable version of its data catalog.
Rotating Data Visualizations: Building on the theme of leading with data, even the masthead-design for Next.Data.gov is an open-data-powered visualization—for now, it’s a cool U.S. Geological Survey earthquake plot showing the magnitude of earthquake measurements collected over the past week, around the globe.
This particular visualization was built using D3.js. The visualization will be updated periodically to spotlight different ways open data is used and illustrated….
We encourage you to collaborate in the design process by creating pull requests or providing feedback via Quora or Twitter.”
Metrics for Government Reform
Geoff Mulgan: “How do you measure a programme of government reform? What counts as evidence that it’s working or not? I’ve been asked this question many times, so this very brief note suggests some simple answers – mainly prompted by seeing a few writings on this question which I thought confused some basic points.”
Any type of reform programme will combine elements at very different levels. These may include:
- A new device – for example, adjusting the wording in an official letter or a call centre script to see what impact this has on such things as tax compliance.
- A new kind of action – for example a new way of teaching maths in schools, treating patients with diabetes, handling prison leavers.
- A new kind of policy – for example opening up planning processes to more local input; making welfare payments more conditional.
- A new strategy – for example a scheme to cut carbon in cities, combining retrofitting of housing with promoting bicycle use; or a strategy for public health.
- A new approach to strategy – for example making more use of foresight, scenarios or big data.
- A new approach to governance – for example bringing hitherto excluded groups into political debate and decision-making.
This rough list hopefully shows just how different these levels are in their nature. Generally as we go down the list the following things rise:
- The number of variables and the complexity of the processes involved
- The timescales over which any judgements can be made
- The difficultness involved in making judgements about causation
- The importance of qualitative relative to quantitative assessment”
Crowdsourcing—Harnessing the Masses to Advance Health and Medicine
A Systematic Review of the literature in the Journal of General Internal Medicine: “Crowdsourcing research allows investigators to engage thousands of people to provide either data or data analysis. However, prior work has not documented the use of crowdsourcing in health and medical research. We sought to systematically review the literature to describe the scope of crowdsourcing in health research and to create a taxonomy to characterize past uses of this methodology for health and medical research..
Twenty-one health-related studies utilizing crowdsourcing met eligibility criteria. Four distinct types of crowdsourcing tasks were identified: problem solving, data processing, surveillance/monitoring, and surveying. …
Utilizing crowdsourcing can improve the quality, cost, and speed of a research project while engaging large segments of the public and creating novel science. Standardized guidelines are needed on crowdsourcing metrics that should be collected and reported to provide clarity and comparability in methods.”
The Durkheim Project
Co.Labs: “A new project, newly launched by DARPA and Dartmouth University, is trying something new: Data-mining social networks to spot patterns indicating suicidal behavior.
Called The Durkheim Project, named for the Victorian-era psychologist, it is asking veterans to offer their Twitter and Facebook authorization keys for an ambitious effort to match social media behavior with indications of suicidal thought. Veterans’ online behavior is then fed into a real-time analytics dashboard which predicts suicide risks and psychological episodes… The Durkheim Project is led by New Hampshire-based Patterns and Predictions, a Dartmouth University spin-off with close ties to academics there…
The Durkheim Project is part of DARPA’s Detection and Computational Analysis of Psychological Signals (DCAPS) project. DCAPS is a larger effort designed to harness predictive analytics for veteran mental health–and not just from social media. According to DARPA’s Russell Shilling’s program introduction, DCAPS is also developing algorithms that can data mine voice communications, daily eating and sleeping patterns, in-person social interactions, facial expressions, and emotional states for signs of suicidal thought. While participants in Durkheim won’t receive mental health assistance directly from the project, their contributions will go a long way toward treating suicidal veterans in the future….
The project launched on July 1; the number of veterans participating is not currently known but the finished number is expected to hover around 100,000.”
Open Data Tools: Turning Data into ‘Actionable Intelligence’
Shannon Bohle in SciLogs: “My previous two articles were on open access and open data. They conveyed major changes that are underway around the globe in the methods by which scientific and medical research findings and data sets are circulated among researchers and disseminated to the public. I showed how E-science and ‘big data’ fit into the philosophy of science though a paradigm shift as a trilogy of approaches: deductive, empirical, and computational, which was pointed out, provides a logical extenuation of Robert Boyle’s tradition of scientific inquiry involving “skepticism, transparency, and reproducibility for independent verification” to the computational age…
This third article on open access and open data evaluates new and suggested tools when it comes to making the most of the open access and open data OSTP mandates. According to an article published in The Harvard Business Review’s “HBR Blog Network,” this is because, as its title suggests, “open data has little value if people can’t use it.” Indeed, “the goal is for this data to become actionable intelligence: a launchpad for investigation, analysis, triangulation, and improved decision making at all levels.” Librarians and archivists have key roles to play in not only storing data, but packaging it for proper accessibility and use, including adding descriptive metadata and linking to existing tools or designing new ones for their users. Later, in a comment following the article, the author, Craig Hammer, remarks on the importance of archivists and international standards, “Certified archivists have always been important, but their skillset is crucially in demand now, as more and more data are becoming available. Accessibility—in the knowledge management sense—must be on par with digestibility / ‘data literacy’ as priorities for continuing open data ecosystem development. The good news is that several governments and multilaterals (in consultation with data scientists and – yep! – certified archivists) are having continuing ‘shared metadata’ conversations, toward the possible development of harmonized data standards…If these folks get this right, there’s a real shot of (eventual proliferation of) interoperability (i.e. a data platform from Country A can ‘talk to’ a data platform from Country B), which is the only way any of this will make sense at the macro level.”
The Science of Familiar Strangers: Society’s Hidden Social Network
The Physics arXiv Blog “We’ve all experienced the sense of being familiar with somebody without knowing their name or even having spoken to them. These so-called “familiar strangers” are the people we see every day on the bus on the way to work, in the sandwich shop at lunchtime, or in the local restaurant or supermarket in the evening.
These people are the bedrock of society and a rich source of social potential as neighbours, friends, or even lovers.
But while many researchers have studied the network of intentional links between individuals—using mobile-phone records, for example—little work has been on these unintentional links, which form a kind of hidden social network.
Today, that changes thanks to the work of Lijun Sun at the Future Cities Laboratory in Singapore and a few pals who have analysed the passive interactions between 3 million residents on Singapore’s bus network (about 55 per cent of the city’s population). ”This is the first time that such a large network of encounters has been identied and analyzed,” they say.
The results are a fascinating insight into this hidden network of familiar strangers and the effects it has on people….
Perhaps the most interesting result involves the way this hidden network knits society together. Lijun and co say that the data hints that the connections between familiar strangers grows stronger over time. So seeing each other more often increases the chances that familiar strangers will become socially connected.
That’s a fascinating insight into the hidden social network in which we are all embedded. It’s important because it has implications for our understanding of the way things like epidemics can spread through cities.
Perhaps a more interesting is the insight it gives into how links form within communities and how these can strengthened. With the widespread adoption of smart cards on transport systems throughout the world, this kind of study can easily be repeated in many cities, which may help to tease apart some of the factors that make them so different.”
Ref: arxiv.org/abs/1301.5979: Understanding Metropolitan Patterns of Daily Encounters
How algorithms rule the world
Leo Hickman in The Guardian: “From dating websites and City trading floors, through to online retailing and internet searches (Google’s search algorithm is now a more closely guarded commercial secret than the recipe for Coca-Cola), algorithms are increasingly determining our collective futures. “Bank approvals, store cards, job matches and more all run on similar principles,” says Ball. “The algorithm is the god from the machine powering them all, for good or ill.”…The idea that the world’s financial markets – and, hence, the wellbeing of our pensions, shareholdings, savings etc – are now largely determined by algorithmic vagaries is unsettling enough for some. But, as the NSA revelations exposed, the bigger questions surrounding algorithms centre on governance and privacy. How are they being used to access and interpret “our” data? And by whom?”
Big Data Comes To Boston’s Neighborhoods
WBUR: “In the spring of 1982, social scientists James Q. Wilson and George L. Kelling published a seminal article in The Atlantic Monthly titled “Broken Windows.”
The piece focused public attention on a long-simmering theory in urban sociology: that broken windows, graffiti and other signs of neighborhood decay are correlated with — and may even help cause — some of the biggest problems in America’s cities.
Wilson and Kelling focused on the link to crime, in particular; an abandoned car, they argued, signals that illicit behavior is acceptable on a given block….Some researchers have poked holes in the theory — arguing that broken widows, known in academic circles as “physical disorder,” are more symptom than cause. But there is no disputing the idea’s influence: it’s inspired reams of research and shaped big city policing from New York to Los Angeles…
But a new study out of the Boston Area Research Initiative, a Harvard University-based collaborative of academics and city officials, suggests a new possibility: a cheap, sprawling and easily updated map of the urban condition.
Mining data from Boston’s constituent relationship management (CRM) operation — a hotline, website and mobile app for citizens to report everything from abandoned bicycles to mouse-infested apartment buildings — researchers have created an almost real-time guide to what ails the city…
But a first-of-its-kind measure of civic engagement — how likely are residents of a given block to report a pothole or broken streetlight? — yields more meaningful results.
One early finding: language barriers seem to explain scant reporting in neighborhoods with large populations of Latino and Asian renters; that’s already prompted targeted flyering that’s yielded modest improvements.
The same engagement measure points to another, more hopeful phenomenon: clusters of citizen activists show up not just in wealthy enclaves, as expected, but in low-income areas.”