House of Commons, Public Administration Committee Report: ” In its plan for Civil Service reform, published in June 2012, the Government introduced “open policy-making”. This means engaging the public and experts from beyond the “Westminster village” in debates about policy and in the policy-making process itself, and establishing a new relationship with the citizen who becomes a valued partner to identify problems, discover new thinking and to propose solutions. It is a departure from more traditional approaches to public engagement, which have usually only occurred after the Government has already determined a course of action.
To govern is to choose. Open policy-making should take debate outside Whitehall and into the community as a whole, but ultimate responsibility and accountability for leadership must remain with Ministers and senior civil servants. Once again, we emphasise the importance of leadership in Government; of effective strategic thinking, which involves choosing between different arguments, reconciling conflicting opinions and arbitrating between different groups and interests; and of effective governance of departments and their agencies. A process of engagement, which can reach beyond the “Westminster village” and the “usual suspects”, will itself be an act of leadership, but there can be no abdication of that leadership.
There is great potential for open and contested policy-making to deliver genuine public engagement. There is also a risk of disappointment and scepticism amongst the public about the impact of their participation, and that Government listens only to the media, lobbying and “the usual suspects”. Ministers must commit sufficient time for public engagement to reach beyond Westminster. Digital technology and new media have a huge role to play. In time, the Government should be able to demonstrate that the citizen is able to contribute opinion, ideas and suggestions on an ongoing basis, if it is to be seen as moving away from old processes and embracing a new relationship with the citizen.”
First, they gave us targeted ads. Now, data scientists think they can change the world
Derrick Harris in Gigaom: “The best minds of my generation are thinking about how to make people click ads … That sucks.” – Jeff Hammerbacher, co-founder and chief scientist, Cloudera
Well, something has to pay the bills. Thankfully, there’s also a sweeping trend in the data science world right now around bringing those skills to bear on some really meaningful problems, …
We’ve already covered some of these efforts, including the SumAll Foundation’s work on modern-day slavery and future work on child pornography. Closely related is the effort — led by Google.org’s deep pockets — to create an international hotline network for reporting human trafficking and collecting data. Microsoft, in particular Microsoft Research’s danah boyd, has been active in helping fight child exploitation using technology.
This week, I came across two new efforts on different ends of the spectrum. One is ActivityInfo, which describes itself on its website as “an online humanitarian project monitoring tool” — developed by Unicef and a consulting firm called BeDataDriven — that “helps humanitarian organizations to collect, manage, map and analyze indicators….
The other effort I came across is DataKind, specifically its work helping the New York City Department of Parks and Recreations, or NYC Parks, quantify the benefits of a strategic tree-pruning program. Founded by renowned data scientists Drew Conway and Jake Porway (who’s also the host of the National Geographic channel’s The Numbers Game), DataKind exists for the sole purpose of helping non-profit organizations and small government agencies solve their most-pressing data problems.”
Filling Power Vacuums in the New Global Legal Order
Paper by Anne-Marie Slaughter in the latest issue of Boston College Law Review: “In her Keynote Address at the October, 12, 2012 Symposium, Filling Power Vacuums in the New Global Legal Order, Anne-Marie Slaughter describes the concepts of “power over” and “power with” in the global world of law. Power over is the ability to achieve the outcomes you want by commanding or manipulating others. Power with is the ability to mobilize people to do things. In the globalized world, power operates much more through power with than through power over. In contrast to the hierarchical power of national governments, globally it is more important to be central in the horizontal system of multiple sovereigns. This Address illustrates different examples of power over and power with. It concludes that in this globalized world, lawyers are ideally trained and positioned to exercise power.”
How legislatures work – and should work – as public space
Paper by John Parkinson in latest issue of Democratization: “In a democracy, legislatures are not only stages for performances by elected representatives; they are also stages for performances by other players in the public sphere. This article argues that while many legislatures are designed and built as spaces for the public to engage with politics, and while democratic norms require some degree of access, increasingly what are termed “purposive publics” are being superseded by groups who are only publics in an aggregative, accidental sense. The article begins with a conceptual analysis of the ways in which legislatures can be thought of as public spaces, and the in-principle access requirements that follow from them. It then draws on interviews and observational fieldwork in eleven capital cities to discover whether the theoretical requirements are met in practice, revealing further tensions. The conclusions are that accessibility is important; is being downgraded in important ways; but also that access norms stand in tension with the requirement that legislatures function as working buildings if they are to retain their symbolic value. The article ends with two “modest proposals”, one concerning the design of the plazas in front of legislatures, the other concerning a role for the wider public in legislative procedure.”
OECD: Open Government – Data Towards Empirical Analysis of Open Government Data Initiatives
OECDiLibrary: “Open Government Data (OGD) initiatives, and in particular the development of OGD portals, have proliferated since the mid-2000s both at central and local government levels in OECD and non OECD countries. Understanding the preconditions that enable the efficient and effective implementation of these initiatives is essential for achieving their overall objectives. This is especially true in terms of the role played by OGD in relation to Open Government policies in general.
This paper highlights the main principles, concepts and criteria framing open government data initiatives and the issues challenging their implementation. It underlines the opportunities that OGD and data analytics may offer policy makers, while providing a note of caution on the challenges this agenda poses for the public sector.
Finally, the overall analysis of key concepts and issues aims to pave the way for an empirical analysis of OGD initiatives. So far, little has been done to analyse and prove the impact and accrued value of these initiatives. The paper suggests a methodology comprising an analytical framework for OGD initiatives (to be applied to ex post and ex ante analysis of initiatives) and a related set of data to be collected across OECD countries. The application of the analytical framework and the collection of data would enable the acquisition of a solid body of evidence that could ultimately lead to mapping initiatives across OECD countries (i.e. a typography of initiatives) and developing a common set of metrics to consistently assess impact and value creation within and across countries.”
OGP Report: "Opening Government"
Open Gov Blog: “In 2011, the Transparency and Accountability Initiative (T/AI) published “Opening Government” – a guide for civil society organisations, and governments, to support them to develop and update ambitious and targeted action plans for the Open Government Partnership.
This year, T/AI is working with a number of expert organisations and participants in the Open Government Partnership to update and expand the guide into a richer online resource, which will include new topic areas and more lessons and updates from ongoing experience….
Below you’ll find an early draft of the section in GoogleDocs, where we invite you to edit and comment on it and help to develop it further. In particular, we’d value your thoughts on the following:
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Are the headline illustrative commitments realistic and stretching at each of the levels? If not, please suggest how they should be changed.
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Are there any significant gaps in the illustrative commitments? Please suggest any additional commitments you feel should be included – and better yet, write it!
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Are the recommendations clear and useful? Please suggest any alterations you feel should be made.
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Are there particular country experiences that should be expanded on? Please suggest any good examples you are aware of (preferably linking to a write-up of the project).
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Are there any particularly useful resources missing? If so, please point us towards them.
This draft – which is very much a work in progress – is open for comments and edits, so please contribute as you wish. You can also send any thoughts to me via: [email protected]”
Health Datapalooza just wrapped
I’ve just finished two packed days at the Health Datapalooza, put on by the Health Data Consortium with the Department of Health and Human Services. As I’ve just heard someone say, many of the 2000 people here are a bit “Palooza”d out.” But this fourth annual event shows the growing power of open government data on health and health care services. The two-day event covered both the knowledge and applications that can come from the release of data like that on Medicare claims, and the ways in which the Affordable Care Act is driving the use of data for better delivery of high-quality care. The participation of leaders from the United Kingdom’s National Health Service added an international perspective as well.
There’s too much to summarize in a single blog post, but you can follow these links to read about the Health Data Consortium and its new CEO’s goals; the DataPalooza’s opening plenary session, with luminaries from government, business, and the New Yorker; and today’s keynote by Todd Park, with reflections on some of new companies that open government data is supporting.
– Joel Gurin, GovLab network member and Founder and Editor, OpenDataNow.com
The Crowdstorm Effect
Peter Ryder and Shaun Abrahamson in Innovation Excellence: “When we open up the innovation process to talent outside our organization we are trying to channel the abilities of a lot of people we don’t know, in the hope that a few of them have ideas we need. Crowdsourcing is the term most closely associated with the process. But over the last decade, many organizations have been not only sourcing ideas from crowds but also getting feedback on ideas….
We call the intersection of lower transaction costs and brainstorming at scale enabled by online connections crowdstorming.
Getting ideas, getting feedback, identifying talent to work with, filtering ideas, earning media, enabling stakeholders to select ideas to change the organization/stakeholder relationship — the crowd’s role and the crowdstorming process has become more complex as it has expanded to involve external talent in new ways. …
Seventy-five years ago, the British economist, Ronald Coase, suggested that high transaction costs – the overhead to find, recruit, negotiate and contract with talent—required organizations to bring the best talent in house. While Coase’s equation still holds true, the Internet has allowed organizations to revisit under what conditions they want and need full time employees. When we have the ability to efficiently tap resources anywhere, anytime at low cost, new opportunities emerge.”
Is Crowdsourcing the Future for Crime Investigation?
Joe Harris in IFSEC Global: “Following April’s Boston Marathon bombings, many people around the world wanted to help in any way they could. Previously, there would have been little but financial assistance that they could have offered.
However, with the advent of high-quality cameras on smartphone devices, and services such as YouTube and Flickr, it was not long before the well-known online collectives such as Reddit and 4chan mobilized members of the public to ask them to review hundreds of thousands of photos and videos taken on the day to try and identify potential suspects….Here in the UK, we recently had the successful launch of Facewatch, and we have seen other regional attempts — such as Greater Manchester Police’s services and appeals app — to use the goodwill of members of the public to help trace, identify, or report suspected criminals and the crimes that they commit.
Does this herald a new era in transparency? Are we seeing the first steps towards a more transparent future where rapid information flow means that there really is nowhere to hide? Or are we instead falling into some Orwellian society construct where people are scared to speak out or think for themselves?”
Why Big Data Is Not Truth
Quentin Hardy in the New York Times: “Kate Crawford, a researcher at Microsoft Research, calls the problem “Big Data fundamentalism — the idea with larger data sets, we get closer to objective truth.” Speaking at a conference in Berkeley, Calif., on Thursday, she identified what she calls “six myths of Big Data.”
Myth 1: Big Data is New
In 1997, there was a paper that discussed the difficulty of visualizing Big Data, and in 1999, a paper that discussed the problems of gaining insight from the numbers in Big Data. That indicates that two prominent issues today in Big Data, display and insight, had been around for awhile…..
Myth 2: Big Data Is Objective
Over 20 million Twitter messages about Hurricane Sandy were posted last year. … “These were very privileged urban stories.” And some people, privileged or otherwise, put information like their home addresses on Twitter in an effort to seek aid. That sensitive information is still out there, even though the threat is gone.
Myth 3: Big Data Doesn’t Discriminate
“Big Data is neither color blind nor gender blind,” Ms. Crawford said. “We can see how it is used in marketing to segment people.” …
Myth 4: Big Data Makes Cities Smart
…, moving cities toward digital initiatives like predictive policing, or creating systems where people are seen, whether they like it or not, can promote lots of tension between individuals and their governments.
Myth 5: Big Data Is Anonymous
A study published in Nature last March looked at 1.5 million phone records that had personally identifying information removed. It found that just four data points of when and where a call was made could identify 95 percent of individuals. …
Myth 6: You Can Opt Out
… given the ways that information can be obtained in these big systems, “what are the chances that your personal information will never be used?”
Before Big Data disappears into the background as another fact of life, Ms. Crawford said, “We need to think about how we will navigate these systems. Not just individually, but as a society.”