DATA – Page 552 – The Living Library

New Report Finds Cost-Benefit Analyses Improve Budget Choices & Taxpayer Results

Curated on August 1, 2013November 13, 2018 by Stefaan Verhulst

Press Release: “A new report shows cost-benefit analyses have helped states make better investments of public dollars by identifying programs and policies that deliver high returns. However, the majority of states are not yet consistently using this approach when making critical decisions. This 50-state look at cost-benefit analysis, a method that compares the expense of public programs to the returns they deliver, was released today by the Pew-MacArthur Results First Initiative, a project of The Pew Charitable Trusts and the John D. and Catherine T. MacArthur Foundation.

The study, “States’ Use of Cost-benefit Analysis: Improving Results for Taxpayers”, comes at a time when states are under continuing pressure to direct limited dollars toward the most cost-effective programs and policies while curbing spending on those that do not deliver. The report is the first comprehensive study of how all 50 states and the District of Columbia analyze the costs and benefits of programs and policies, report findings, and incorporate the assessments into decision-making. It identifies key challenges states face in conducting and using the analyses and offers strategies to overcome those obstacles. The study includes a review of state statutes, a search for cost benefit analyses released between 2008 and 2011, and interviews with legislators, legislative and program evaluation staff, executive officials, report authors, and agency officials.”

The Recent Rise of Government Open Data APIs

Curated on August 1, 2013August 15, 2018 by Stefaan Verhulst

Janet Wagner in ProgrammableWeb: “In recent months, the number of government open data APIs has been increasing rapidly due to a variety of factors including the development of open data technology platforms, the launch of Project Open Data and a recent White House executive order regarding government data.
ProgrammableWeb writer Mark Boyd has recently written three articles related to open data APIs; an article about the latest release of the CKAN API, an article about the UK Open Data Institute and an article about the CivOmega Open Data Search Engine. This post is a brief overview of several recent factors that have led to the rise of government open data APIs.”

Orwell is drowning in data: the volume problem

Curated on July 31, 2013August 15, 2018 by Stefaan Verhulst

Dom Shaw in OpenDemocracy: “During World War II, whilst Bletchley Park laboured in the front line of code breaking, the British Government was employing vast numbers of female operatives to monitor and report on telephone, mail and telegraph communications in and out of the country.
The biggest problem, of course, was volume. Without even the most primitive algorithm to detect key phrases that later were to cause such paranoia amongst the sixties and seventies counterculture, causing a whole generation of drug users to use a wholly unnecessary set of telephone synonyms for their desired substance, the army of women stationed in exchanges around the country was driven to report everything and then pass it on up to those whose job it was to analyse such content for significance.
Orwell’s vision of Big Brother’s omniscience was based upon the same model – vast armies of Winston Smiths monitoring data to ensure discipline and control. He saw a culture of betrayal where every citizen was held accountable for their fellow citizens’ political and moral conformity.
Up until the US Government’s Big Data Research and Development Initiative [12] and the NSA development of the Prism programme [13], the fault lines always lay in the technology used to collate or collect and the inefficiency or competing interests of the corporate systems and processes that interpreted the information. Not for the first time, the bureaucracy was the citizen’s best bulwark against intrusion.
Now that the algorithms have become more complex and the technology tilted towards passive surveillance through automation, the volume problem becomes less of an obstacle….
The technology for obtaining this information, and indeed the administration of it, is handled by corporations. The Government, driven by the creed that suggests private companies are better administrators than civil servants, has auctioned off the job to a dozen or more favoured corporate giants who are, as always, beholden not only to their shareholders, but to their patrons within the government itself….
The only problem the state had was managing the scale of the information gleaned from so many people in so many forms. Not any more. The volume problem has been overcome.”

The Power of Hackathons

Curated on July 31, 2013August 15, 2018 by Stefaan Verhulst

Woodrow Wilson International Center for Scholars: “The Commons Lab of the Science and Technology Innovation Program is proud to announce the release of The Power of Hackathons: A Roadmap for Sustainable Open Innovation. Hackathons are collaborative events that have long been part of programmer culture, where people gather in person, online or both to work together on a problem. This could involve creating an application, improving an existing one or testing a platform.
In recent years, government agencies at multiple levels have started holding hackathon events of their own. For this brief, author Zachary Bastian interviewed agency staff, hackathon planners and hackathon participants to better understand how these events can be structured. The fundamental lesson was that a hackathon is not a panacea, but instead should be part of a broader open data and innovation centric strategy.
The full brief can be found here”

Why you should never trust a data visualisation

Curated on July 31, 2013May 29, 2019 by Stefaan Verhulst

John Burn-Murdoch in The Guardian: “An excellent blogpost has been receiving a lot of attention over the last week. Pete Warden, an experienced data scientist and author for O’Reilly on all things data, writes:

The wonderful thing about being a data scientist is that I get all of the credibility of genuine science, with none of the irritating peer review or reproducibility worries … I thought I was publishing an entertaining view of some data I’d extracted, but it was treated like a scientific study.

This is an important acknowledgement of a very real problem, but in my view Warden has the wrong target in his crosshairs. Data presented in any medium is a powerful tool and must be used responsibly, but it is when information is expressed visually that the risks are highest.
The central example Warden uses is his visualisation of Facebook friend networks across the United States, which proved extremely popular and was even cited in the New York Times as evidence for growing social division.
As he explains in his post, the methodology behind his underlying network graph is perfectly defensible, but the subsequent clustering process was “produced by me squinting at all the lines, coloring in some areas that seemed more connected in a paint program, and picking silly names for the areas”. The exercise was only ever intended as a bit of fun with a large and interesting dataset, so there really shouldn’t be any problem here.
But there is: humans are visual creatures. Peer-reviewed studies have shown that we can consume information more quickly when it is expressed in diagrams than when it is presented as text.
Even something as simple as colour scheme can have a marked impact on the perceived credibility of information presented visually – often a considerably more marked impact than the actual authority of the data source.
Another great example of this phenomenon was the Washington Post’s ‘map of the world’s most and least racially tolerant countries‘, which went viral back in May of this year. It was widely accepted as an objective, scientific piece of work, despite a number of social scientists identifying flaws in the methodology and the underlying data itself.”

The Internet generation will learn to let go

Curated on July 27, 2013May 29, 2019 by Stefaan Verhulst

Julian B. Gewirtz and Adam B. Kern in The Washington Post: “Ours is the first generation to have grown up with the Internet. The first generation that got suspended from school because of a photo of underage drinking posted online. The first generation that could talk in chat rooms to anyone, anywhere, without our parents knowing. The first generation that has been “tracked” and “followed” and “shared” since childhood.
All this data will remain available forever — both to the big players (tech companies, governments) and to our friends, our sort-of friends and the rest of civil society. This fact is not really new, but our generation will confront the latter on a scale beyond that experienced by previous generations…
Certainly there will be many uses for information, such as health data, that will wind up governed by law. But so many other uses cannot be predicted or legislated, and laws themselves have to be informed by values. It is therefore critical that people establish, with their actions and expectations, cultural norms that prevent their digital selves from imprisoning their real selves.
We see three possible paths: One, people become increasingly restrained about what they share and do online. Two, people become increasingly restrained about what they do, period. Three, we learn to care less about what people did when they were younger, less mature or otherwise different.
The first outcome seems unproductive. There is no longer much of an Internet without sharing, and one of the great benefits of the Internet has been its ability to nurture relationships and connections that previously had been impossible. Withdrawal is unacceptable. Fear of the digital future should not drive us apart.
The second option seems more deeply unsettling. Childhood, adolescence, college — the whole process of growing up — is, as thinkers from John Locke to Dr. Spock have written, a necessarily experimental time. Everyone makes at least one mistake, and we’d like to think that process continues into adulthood. Creativity should not be overwhelmed by the fear of what people might one day find unpalatable.
This leaves the third outcome: the idea that we must learn to care less about what people did when they were younger or otherwise different. In an area where regulations, privacy policies and treaties may take decades to catch up to reality, our generation needs to take the lead in negotiating a “cultural treaty” endorsing a new value, related to privacy, that secures our ability to have a past captured in data that is not held to be the last word but seen in light of our having grown up in a way that no one ever has before.
Growing up, that is, on the record.”

Big data + politics = open data: The case of health care data in England

Curated on July 27, 2013August 3, 2018 by Stefaan Verhulst

New Paper in Policy & Internet: “There is a great deal of enthusiasm about the prospects for Big Data held in health care systems around the world. Health care appears to offer the ideal combination of circumstances for its exploitation, with a need to improve productivity on the one hand and the availability of data that can be used to identify opportunities for improvement on the other. The enthusiasm rests on two assumptions. First, that the data sets held by hospitals and other organizations, and the technological infrastructure needed for their acquisition, storage, and manipulation, are up to the task. Second, that organizations outside health care systems will be able to access detailed datasets. We argue that both assumptions can be challenged. The article uses the example of the National Health Service in England to identify data, technology, and information governance challenges. The public acceptability of third party access to detailed health care datasets is, at best, unclear.”