Data (v.)


Jer Thorp in Journal 001 of The Office for Creative Research and Medium: “I data you, you data me. They data us, we data them.

As your Concise Oxford sails toward me from across the room, let’s take some time to consider the arguments:

The word data has been in a pronounced flux over the last ten years, as its role and function has been redefined by technology and culture. A decade ago, data was firmly a plural noun. Specifically, it was the plural of datum– one datum, two data. Back then, you could point and laugh at the data amateurs because they would say ‘data is’ rather than ‘data are’. Of course, those data newbies went on to form companies, make software, build databases, write books and give TED talks. And slowly, data did turn into a particular kind of singular: it has become, commonly, a mass noun…..

Data is not inert, yet its perceived passivity is one of its most dangerous properties. When we are warned that a government is collecting data about its citizens, we may be underwhelmed specifically because this act of collection seems to be so harmless, so indifferent. But of course data is not collected and then left alone: it is used as a substrate for decision making; and as an instrument for differentiation, discrimination and damage. Putting an active form of the word data into common parlance could serve as a reminder that the systems of data collection and uses are humming with capacity for influence, action and violence.

Making data a verb also exposes to us the power imbalances that have kept our collective endeavours drastically off-kilter. Grammatically speaking, data-as-verb would present a number of possibilities for subject/object combinations:

I data you. You data me. We data you. You data us. They data me. They data us. We data them.

Exposed to this rich possibility of cause and effect, the common usages of data today become strikingly narrow: in our lived data experiences we are objects, rather than subjects. Google reads our every e-mail, placing us ingloriously in marketing buckets based on what we write to our friends, colleagues and lovers. Uber’s algorithms note our late night voyages asrecords of romantic trysts. They data us, then they data us again.

Even the innocent fitness tracker, on paper an embodiment of ‘I data myself’ isn’t so much about quantified self as it is about quantified selves, less a tool for individuals to track their own beating hearts than a system to find an aggregated 24 year old Bay Area resident that can be marketed against. These devices are exciting toys for runners and walkers but also for lawyers, who have found in them a new way to argue against claims of personal injury.

Yet there is plenty of potential for us to data. Last year we built Floodwatch, a browser based tool that allows users to track the web advertising profiles that are being authored about them— empowering individuals to track the trackers. Mapping Police Violence, a project by Ferguson activists@samsway @Nettaaaaaaaa and @deray, keeps a record of every black American killed by police in the USA. In doing so, the project reminds us how powerful the simple act of data collection can be, particularly when that data is something that the powerful don’t want us to see.

These projects give us a glimpse of what can happen if we abandon our idea of data as an innocent, passive noun. By embracing the new verbal form of data, we might better understand its potential for action, and in turn move beyond our own prescribed role as the objects in data sentences.

In doing so, perhaps we can imagine a future perfect for data, where not only will they have dataed us, we will have dataed them. A future, perhaps, where we all data together….(More)”

Open data could save the NHS hundreds of millions, says top UK scientist


The Guardian: “The UK government must open up and highlight the power of more basic data sets to improve patient care in the NHS and save hundreds of millions of pounds a year, Nigel Shadbolt, chairman of the Open Data Institute (ODI) has urged.

The UK government topped the first league table for open data (paywall)produced by the ODI last year but Shadbolt warns that ministers’ open data responsibilities have not yet been satisfied.

Basic data on prescription administration is now published on a monthly basis but Shadbolt said medical practitioners must be educated about the power of this data to change prescribing habits across the country.

Other data sets, such as trusts’ opening times, consultant lists and details of services, that are promised to make the NHS more accessible are not currently available in a form that is machine-readable.

“These basic sets of information about the processes, the people and places in the health system are all fragmented and fractured and many of them are not available as registers that you can go to,” Shadbolt said.

“Whenever you talk about health data people think you must be talking about personal data and patient data and there are issues, obviously, of absolutely protecting privacy there. But there’s lots of data in the health service that is not about personal patient data at all that would be hugely useful to just have available as machine-readable data for apps to use.”

The UK government has led the way in recent years in encouraging transparency and accountability within the NHS by opening league tables. The publication of league tables on MRSA was followed by a 76-79% drop in infections.

Shadbolt said: “Those hospitals that were worst in their league table don’t like to be there and there was a very rapid diffusion of understanding of best practice across them that you can quantify. It’s many millions of pounds being saved.”

The artificial intelligence and open data expert said the next big area for open data improvement in the NHS is around prescriptions.

Shadbolt pointed to the publication of data about the prescription of statins,which has helped identify savings worth hundreds of millions of pounds: “There is little doubt that this pattern is likely to exist across the whole of the prescribing space.”…(More)”

New Technologies and Civic Engagement


Book edited by Homero Gil de Zuniga Navajas: “First, this book pays attention to the overall impact of the Internet and people’s use of digital media and new technologies to analyze civic life at large, reconceptualizing what citizenship is today. Secondly, and more specifically, participants shed light over the intersection of a number of current new agendas of research in regards to some of the most rapidly growing technological advances (i.e., new publics and citizenship), and the emergence of sprouting structures of citizenship. The volume shows the implications that new technological advances carry with respect the possibilities, patterns and mechanisms for citizen communication, citizen deliberation, public sphere and civic engagement….(More)”

The Open Seventeen


Crowdsourcing the Verification of the Sustainable Development Goals with Open Data : In 2015, the United Nations is announcing seventeen Sustainable Development Goals (SDGs) for the world. Success at implementing the SDGs by 2030 could put the planet on the right course for the rest of the century. Failure could result in a breakdown of trust in global initiatives and cynical pursuit of self-interest by nations and corporations.

One way to ensure SDGs are achieved is to establish an independent means for verifying that all stakeholders – governments, corporations, NGOs and international organisations – live up to their promises. This requires harnessing the grassroots efforts of concerned citizens on a global scale.

To ignite this effort, ONE– in collaboration with the Citizen Cyberscience Centre and the Crowdcrafting platform for open research – is launching The Open Seventeen, a challenge to develop crowdsourcing projects that tackle SDGs using open data.

How does this challenge work?

You’ll find a big blue button further down this page. Use this to pitch a crowdsourcing project that tackles any of the 17 SDGs, at either a local, regional or global level, and tell us what open data set could be analysed for this purpose.

To inspire you, we’ve provided below some >examples of crowdsourcing projects that have already been tackling different aspects of the SDGs, from deforestation to corruption, and from drought to disease. Projects proposed for the challenge should have clear and realistic goals, and build on existing open data sets.

ONE and its partners will select three proposals and create crowdsourcing projects based on these. The winners and their projects will be profiled by ONE in upcoming international events related to the launch of the SDGs. Your project could inspire the world….

What can you do with open data to help verify SDGs? Have a look at what citizens have already created using the open source technology PyBossa that powers the Crowdcrafting platform and other crowdsourcing projects….(More)”

Aligning Supply and Demand for Better Governance


Findings regarding Open Data in the Open Government Partnership: “Many have predicted that open government data will lead to major gains in political accountability, generate economic value, and improve the quality of government services. Yet, there is a growing consensus among practitioners and experts that, for open data reforms to have strong governance, economic, and social impacts, reforms must do more than make data available and reusable. Government reforms ultimately must aim to provide data that is useful and used. There may be a high opportunity cost to investing in open data in the place of other useful governance reforms….

This paper identifies strong performances and gaps in aligning open data supply and demand. Findings from action plans and IRM reporting reveal the following trends:

  • OGP countries are making more open data commitments in their national action plans, both in absolute numbers and in percentage. This could be good for open data advocates, but may come at the expense of other open government approaches that may be more effective at countering excessive secrecy and corruption.
  • Open data commitments emphasize government supply of data and government coordination mechanisms over identifying and stimulating public demand for data.
  • Among a smaller group of countries, a growing number of commitments aim to align supply and demand by reforming the regulatory framework and by setting up mechanisms to ensure greater demand, such as participatory prioritization processes in which government solicits public input on which data sets to release. However, typical OGP action plans do not show a distinct move toward establishing or implementing the right to request data.
  • There is some evidence that sector-specific approaches to open data see higher rates of implementation than crosscutting and whole-of-government approaches to open data. Commitments emphasize data on budgets, health, natural resources, and aid…. (More)”

The Age of Every Building in Los Angeles, Mapped


Laura Bliss at CityLab: “A fascinating resource for lovers of city planning, made possible by open data.

Image built:LA
built:LA

Construction in Los Angeles may have exploded during the postwar era, but as a new interactive map shows, the wide age range of its buildings might surprise you.

Using open data from local governments, built: LA visualizes the age of roughly 3 million buildings across L.A. County constructed between 1890 and 2008. Drag your mouse to explore the vast web of communities and neighborhoods, hover over individual properties to discover birth years, and double click to zoom in further.

Perhaps best of all, hit the rainbow stopwatch to view a decade-by-decade timelapse of development across the county. The city’s core, in particular, clusters together buildings of century-spanning generations, while suburbs and communities to the east and west tend to represent just one or two decades of development….(More).”

Tracking Employment Shocks Using Mobile Phone Data


Paper by Jameson L. Toole et al.: “Can data from mobile phones be used to observe economic shocks and their consequences at multiple scales? Here we present novel methods to detect mass layoffs, identify individuals affected by them, and predict changes in aggregate unemployment rates using call detail records (CDRs) from mobile phones. Using the closure of a large manufacturing plant as a case study, we first describe a structural break model to correctly detect the date of a mass layoff and estimate its size. We then use a Bayesian classification model to identify affected individuals by observing changes in calling behavior following the plant’s closure. For these affected individuals, we observe significant declines in social behavior and mobility following job loss. Using the features identified at the micro level, we show that the same changes in these calling behaviors, aggregated at the regional level, can improve forecasts of macro unemployment rates. These methods and results highlight promise of new data resources to measure micro economic behavior and improve estimates of critical economic indicators….(More)”

Video: The power of public art


“Anne Pasternak, President and Artistic Director of Creative Time USA, says artists have the power “to kick open the door to social change.” In this video for the World Economic Forum, Pasternak talks about some of Creative Time’s commissions – from lighting up the New York skyline to shaking the hands of sanitation workers – and how art can help expose and heal social issues.

Click on the video to watch the full talk, or read selected quotes below

Want better science? Quit hoarding data, genetics researchers say


Nidhi Subbaraman at BetaBoston: “When Andrea Downing was 25, she got screened for the BRCA genes known to be associated with a variety of cancers, including breast cancer. Both her great-grandmother and grandmother had been diagnosed with the disease, so the results were no surprise: Downing carried the BRCA1 mutation in her genes. She learned there was a 87 percent chance she would get breast cancer during her lifetime, and 60 percent chance she would get ovarian cancer.
The revelation brought with it a dizzying range of choices. Should she get a mastectomy before the cancer showed? Should she choose to have her ovaries removed? Could she wait until after she had kids?

For the first several years after her diagnosis, Downing sought out support groups, then began booking appointments with researchers and examining the latest literature. “I’m a little different from your usual patient who tested positive,” Downing said. “I wanted to go beyond to challenge myself and understand the science of cancer.”

Then, in 2013, she chanced on was ClinVar, a research database funded by the National Institute of Health that acts as a kind of Wikipedia to catalogue scientific research on mutations in genes. It gave her a roadmap for the research associated with her variant, called C16G.

Downing typed in the letters and numbers of her mutation, and the website spit out a list of companies and labs that have studied her variant. Though much of that information was technical, she said, “the things I do understand about it are very empowering. It’s a starting point to answering questions I don’t know.”

When the database first launched, the idea was that the single repository would present a unified picture of a variant, drawing from all available research that was publicly shared by companies and research labs.

Two years later, the team behind the operation has published a progress report of sorts in the New England Journal of Medicine. They argue that this shared approach is working — doctors and researchers are using the database — and they are advocating for more companies and groups to join the effort to reach a more comprehensive understanding of the variants in disease genes. In particular, they’re challenging companies to be more open with their data, instead of keeping it to themselves….(More)”

The Everyone City: How ICT-Based Participation Shapes Urban Form


 

Book Chapter by Sara LevyKarel Martens,  and Rob van der Heijden : “Citizen participation is a cornerstone of urban planning. One common criticism is that the process can be cumbersome and slow. However, in the face of recent advances in information and communication technologies (ICT), those problems can be easily overcome, making it possible to extend public participation to a wider sphere of urban planning matters. But what do we know of how ICT-based public participation affects urban form? What does a city shaped by social networks and other ICT-tools look like? We develop an agent-based model of urban growth to improve our understanding of these issues. Our model consists of a spatially disaggregated, micro-economic-based, real estate market model coupled with an ICT-based planning process. In the model, public participation is based on social network affiliation and preferences over the height of buildings….(More)”