DATA – Page 507 – The Living Library

#SocialCivics and the architecture of participation

Curated on March 31, 2015October 9, 2018 by Stefaan Verhulst

Tim O’Reilly at Radar: “It was big news recently that former Twitter executive Jason Goldman is joining the White House to head up a new office of Digital Strategy.

In his post, Jason asked for advice, posted anywhere, using the hashtag #socialcivics. I decided to do a writeup, as he asked, to share my ideas and to spark further conversation.

Briefly, Jason’s mission, on behalf of the White House, is to create new tools and processes for civic engagement, so that all of us are working more effectively together to build a nation that works for everyone, not just for the few with privileged access.

One of the key ideas I have to offer is something that years ago, in the context of open source software, I called “the architecture of participation.” I wrote:

[Open source software projects] that have built large development communities have done so because they have a modular architecture that allows easy participation by independent or loosely coordinated developers … The Web, however, took the idea of participation to a new level because it opened that participation not just to software developers, but to all users of the system.

Modularity depends on standards — formal or informal expectations about behavior and interfaces — and interoperability. To take an example that is not from software, consider that our most competitive, participatory industries all feature devices made from standardized parts. Whether you’re talking automobiles or personal computers or cell phones, a rich ecosystem of suppliers is possible only because we agreed that the threads on bolts and nuts should be a certain size, that electronic parts should be interchangeable, and that complex, custom assemblies should be kept to a minimum. Even large systems depend on small modular parts, but the fewer modular parts a system has, the more expensive it is, and generally, it can be modified and improved by far fewer people….(More)”

Open-Data Project Adds Transparency to African Elections

Curated on March 31, 2015May 29, 2019 by Stefaan Verhulst

Jessica Weiss at the International Center for Journalists: “An innovative tool developed to help people register to vote in Kenya is proving to be a valuable asset to voters across the African continent.

GotToVote was created in 2012 by two software developers under the guidance of ICFJ’s Knight International Journalism Fellow Justin Arenstein for use during Kenya’s general elections. In just 24 hours, the developers took voter registration information in a government PDF and turned it into a simple website with usable data that helped people locate the nearest voting center where they could register for elections. Kenyan media drove a large audience to the site, which resulted in a major boost in voter registrations.

Since then, GotToVote has helped people register to vote in Malawi and Zimbabwe. Now, it is being adapted for use in national elections in Ghana and Uganda in 2016.

Ugandan civic groups led by The African Freedom of Information Centre are planning to use it to help people register, to verify registrations and for SMS registration drives. They are also proposing new features—including digital applications to help citizens post issues of concern and compare political positions between parties and candidates so voters better understand the choices they are being offered.

In Ghana, GotToVote is helping citizens find their nearest registration center to make sure they are eligible to vote in that country’s 2016 national elections. The tool, which is optimized for mobile devices, makes voter information easily accessible to the public. It explains who is eligible to register for the 2016 general elections and gives a simple overview of the voter registration process. It also tells users what documentation to take with them to register…..

Last year, Malawi’s national government used GotToVote to check whether voters were correctly registered. As a result, more than 20,000 were found to be incorrectly registered, because they were not qualified voters or were registered in the wrong constituency. In 2013, thousands used GotToVote via their mobile and tablet devices to find their polling places in Zimbabwe.

The successful experiment provides a number of lessons about the power and feasibility of open data projects, showing that they don’t require large teams, big budgets or a lot of time to build…(More)“

Discovering the Language of Data: Personal Pattern Languages and the Social Construction of Meaning from Big Data

Curated on March 31, 2015August 3, 2018 by Stefaan Verhulst

Paper by Kim Erwin; Maggee Bond; Aashika Jain in Interdisciplinary Science Reviews: “This paper attempts to address two issues relevant to the sense-making of Big Data. First, it presents a case study for how a large dataset can be transformed into both a visual language and, in effect, a ‘text’ that can be read and interpreted by human beings. The case study comes from direct observation of graduate students at the IIT Institute of Design who investigated task-switching behaviours, as documented by productivity software on a single user’s laptop and a smart phone. Through a series of experiments with the resulting dataset, the team effects a transformation of that data into a catalogue of visual primitives — a kind of iconic alphabet — that allow others to ‘read’ the data as a corpus and, more provocatively, suggest the formation of a personal pattern language. Second, this paper offers a model for human-technical collaboration in the sense-making of data, as demonstrated by this and other teams in the class. Current sense-making models tend to be data- and technology-centric, and increasingly presume data visualization as a primary point of entry of humans into Big Data systems. This alternative model proposes that meaningful interpretation of data emerges from a more elaborate interplay between algorithms, data and human beings….(More)”

Open Research, Open Data, Open Humans

Curated on March 29, 2015May 29, 2019 by Stefaan Verhulst

Ernesto Ramirez at Quantified Self: ….“Open Humans aims to break down data silos in human health and research. We believe data has a huge potential to live and grow beyond the boundaries a single study or program. Our online portal allows members to aggregate data from the research they participate in. By connecting individuals willing to share existing research data about themselves with researchers who are interested in using that data, data can be re-used and built upon.” — OpenHumans.org

On March 24, 2015 the Open Humans Network officially opened their virtual doors and began allowing individuals to sign up and engage in a new model of participatory research. We spoke with Co-founder & Principal Investigator of the Public Data Sharing study, Madeleine Ball, Ph.D. about Open Humans, what it means for research, and what we can look foward to from this exciting initiative. The following is an edited transcript of that conversation….

What excites me about Open Humans is the potential we have to transform future research studies — from how they treat data to how they think about data sharing. We’re building our system so that participants are central to the data process. A good example of this when researchers use our member’s data they must also agree to return any new data that results from their research back to the original participant. This decentralization of data is a key component of our design. No single person, researchers, or study has all the data…(More)

Learning to See Data

Curated on March 29, 2015August 3, 2018 by Stefaan Verhulst

Benedict Carey in the New York Times: “FOR the past year or so genetic scientists at the Albert Einstein College of Medicine in New York have been collaborating with a specialist from another universe: Daniel Kohn, a Brooklyn-based painter and conceptual artist.

Mr. Kohn has no training in computers or genetics, and he’s not there to conduct art therapy classes. His role is to help the scientists with a signature 21st-century problem: Big Data overload.

Advanced computing produces waves of abstract digital data that in many cases defy interpretation; there’s no way to discern a meaningful pattern in any intuitive way. To extract some order from this chaos, analysts need to continually reimagine the ways in which they represent their data — which is where Mr. Kohn comes in. He spent 10 years working with scientists and knows how to pose useful questions. He might ask, for instance, What if the data were turned sideways? Or upside down? Or what if you could click on a point on the plotted data and see another dimension?….

And so it is in many fields, whether predicting climate, flagging potential terrorists or making economic forecasts. The information is all there, great expanding mountain ranges of it. What’s lacking is the tracker’s instinct for picking up a trail, the human gut feeling for where to start looking to find patterns and meaning. But can such creative instincts really be trained systematically? And even if they could, wouldn’t it take years to do so?

The answers are yes and no, at least when it comes to some advanced skills. And that should give analysts drowning in data some cause for optimism.

Scientists working in a little-known branch of psychology called perceptual learning have shown that it is possible to fast-forward a person’s gut instincts both in physical fields, like flying an airplane, and more academic ones, like deciphering advanced chemical notation. The idea is to train specific visual skills, usually with computer-game-like modules that require split-second decisions. Over time, a person develops a “good eye” for the material, and with it an ability to extract meaningful patterns instantaneously.

Perceptual learning is such an elementary skill that people forget they have it. It’s what we use as children to make distinctions between similar-looking letters, like U and V, long before we can read. It’s the skill needed to distinguish an A sharp from a B flat (both the notation and the note), or between friendly insurgents and hostiles in a fast-paced video game. By the time we move on to sentences and melodies and more cerebral gaming — “chunking” the information into larger blocks — we’ve forgotten how hard it was to learn all those subtle distinctions in the first place….(More)

Can Big Data Measure Livability in Cities?

Curated on March 29, 2015August 3, 2018 by Stefaan Verhulst

PlaceILive: “Big data helps us measure and predict consumer behavior, hurricanes and even pregnancies. It has revolutionized the way we access and use information. That being said, so far big data has not been able to tackle bigger issues like urbanization or improve the livability of cities.

A new startup, www.placeilive.com thinks big data should and can be used to measure livability. They aggregated open data from government institutions and social media to create a tool that can calculate just that. ….PlaceILive wants to help people and governments better understand their cities, so that they can make smarter decisions. Cities can be more sustainable, while its users save money and time when they are choosing a new home.

Not everyone is eager to read long lists of raw data. Therefore they created appealing user-friendly maps that visualize the statistics. Offering the user fast and accessible information on the neighborhoods that matter to them.

Another cornerstone of PlaceILive is their Life Quality Index: an algorithm that takes aspects like transportation, safety, and affordability into account. Making it possible for people to easily compare the livability of different houses. You can read more on the methodology and sources here.

In its beta form, the site features five cities—New York City, Chicago, San Francisco, London and Berlin. When you click on the New York portal, for instance, you can search for the place you want to know more about by borough, zip code, or address. Using New York as an example, it looks like this….(More)

Modeling Mobility with Open Data

Curated on March 27, 2015August 3, 2018 by Stefaan Verhulst

Book edited by Behrisch, Michael, and Weber, Melanie: “This contributed volume contains the conference proceedings of the Simulation of Urban Mobility (SUMO) conference 2014, Berlin. The included research papers cover a wide range of topics in traffic planning and simulation, including open data, vehicular communication, e-mobility, urban mobility, multimodal traffic as well as usage approaches. The target audience primarily comprises researchers and experts in the field, but the book may also be beneficial for graduate students.

Eight ways to make government more experimental

Curated on March 27, 2015October 9, 2018 by Stefaan Verhulst

Jonathan Breckon et al at NESTA: “When the banners and bunting have been tidied away after the May election, and a new bunch of ministers sit at their Whitehall desks, could they embrace a more experimental approach to government?

Such an approach requires a degree of humility. Facing up to the fact that we don’t have all the answers for the next five years. We need to test things out, evaluate new ways of doing things with the best of social science, and grow what works. And drop policies that fail.

But how best to go about it? Here are our 8 ways to make it a reality:

Make failure OK. A more benign attitude to risk is central to experimentation. As a 2003 Cabinet Office review entitled Trying it Out said, a pilot that reveals a policy to be flawed should be ‘viewed as a success rather than a failure, having potentially helped to avert a potentially larger political and/or financial embarrassment’. Pilots are particularly important in fast moving areas such as technology to try promising fresh ideas in real-time. Our ‘Visible Classroom’ pilot tried an innovative approach to teacher CPD developed from technology for television subtitling.
Avoid making policies that are set in stone. Allowing policy to be more project–based, flexible and time-limited could encourage room for manoeuvre, according to a previous Nesta report State of Uncertainty; Innovation policy through experimentation. The Department for Work and Pensions’ Employment Retention and Advancement pilot scheme to help people back to work was designed to influence the shape of legislation. It allowed for amendments and learning as it was rolled out. We need more policy experiments like this.
Work with the grain of current policy environment. Experimenters need to be opportunists. We need to be nimble and flexible. Ready to seize windows of opportunity to experiment. Some services have to be rolled out in stages due to budget constraints. This offers opportunities to try things out before going national. For instance, The Mexican Oportunidades anti-poverty experiments which eventually reached 5.8 million households in all Mexican states, had to be trialled first in a handful of areas. Greater devolution is creating a patchwork of different policy priorities, funding and delivery models – so-called ‘natural experiments’. Let’s seize the opportunity to deliberately test and compare across different jurisdictions. What about a trial of basic income in Northern Ireland, for example, along the lines of recent Finnish proposals, or universal free childcare in Scotland?
Experiments need the most robust and appropriate evaluation methods such as, if appropriate, Randomised Controlled Trials. Other methods, such as qualitative research may be needed to pry open the ‘black box’ of policies – to learn about why and how things are working. Civil servants should use the government trial advice panel as a source of expertise when setting up experiments.
Grow the public debate about the importance of experimentation. Facebook had to apologise after a global backlash to psychological experiments on their 689,000 users web-users. Approval by ethics committees – normal practice for trials in hospitals and universities – is essential, but we can’t just rely on experts. We need a dedicated public understanding of experimentation programmes, perhaps run by Evidence Matters or Ask for Evidence campaigns at Sense about Science. Taking part in an experiment in itself can be a learning opportunity creating an appetite amongt the public, something we have found from running an RCT with schools.
Create ‘Skunkworks’ institutions. New or improved institutional structures within government can also help with experimentation. The Behavioural Insights Team, located in Nesta, operates a classic ‘skunkworks’ model, semi-detached from day-to-day bureaucracy. The nine UK What Works Centres help try things out semi-detached from central power, such as the The Education Endowment Foundation who source innovations widely from across the public and private sectors- including Nesta- rather than generating ideas exclusively in house or in government.
Find low-cost ways to experiment. People sometimes worry that trials are expensive and complicated. This does not have to be the case. Experiments to encourage organ donation by the Government Digital Service and Behavioural Insights Team involved an estimated cost of £20,000. This was because the digital experiments didn’t involve setting up expensive new interventions – just changing messages on web pages for existing services. Some programmes do, however, need significant funding to evaluate and budgets need to be found for it. A memo from the White House Office for Management and Budget has asked for new Government schemes seeking funding to allocate a proportion of their budgets to ‘randomized controlled trials or carefully designed quasi-experimental techniques’.
Be bold. A criticism of some experiments is that they only deal with the margins of policy and delivery. Government officials and researchers should set up more ambitious experiments on nationally important big-ticket issues, from counter-terrorism to innovation in jobs and housing….(More)