Webcast of Book release by G. Thomas Kingsley Claudia J. Coulton, and Kathryn L. S. Pettit: “Efforts to address the problems of distressed urban neighborhoods stretch back to the 1800s, but until relatively recently, data played little role in forming policy solutions. Published by the Urban Institute with support from the John D. and Catherine T. MacArthur Foundation, the new book Strengthening Communities with Neighborhood Data documents how government and nonprofit institutions have used information about neighborhood conditions to change the way we think about community and local governance in America.”
Get a free copy of Strengthening Communities with Neighborhood Data
Politics, Policy and Privatisation in the Everyday Experience of Big Data in the NHS
Chapter by Andrew Goffey ; Lynne Pettinger and Ewen Speed in Martin Hand , Sam Hillyard (ed.) Big Data? Qualitative Approaches to Digital Research (Studies in Qualitative Methodology, Volume 13) : “This chapter explains how fundamental organisational change in the UK National Health Service (NHS) is being effected by new practices of digitised information gathering and use. It analyses the taken-for-granted IT infrastructures that lie behind digitisation and considers the relationship between digitisation and big data.
Design/methodology/approach
Qualitative research methods including discourse analysis, ethnography of software and key informant interviews were used. Actor-network theories, as developed by Science and technology Studies (STS) researchers were used to inform the research questions, data gathering and analysis. The chapter focuses on the aftermath of legislation to change the organisation of the NHS.
Findings
The chapter shows the benefits of qualitative research into specific manifestations information technology. It explains how apparently ‘objective’ and ‘neutral’ quantitative data gathering and analysis is mediated by complex software practices. It considers the political power of claims that data is neutral.
Originality/value
The chapter provides insight into a specific case of healthcare data and. It makes explicit the role of politics and the State in digitisation and shows how STS approaches can be used to understand political and technological practice.”
Logged On: Smart Government Solutions from South Asia
Book by Zubair K. Bhatti, Jody Zall Kusek and Tony Verheijen: “Logged On looks at mobile and smart phone technology through the lens of good government management. How will developing governments deliver goods and services that citizens care about? How will government in these countries leapfrog over traditional public management reforms to help reach out to and collaborate directly with the citizen? This book provides example after example where this has happened and how mobile technology has helped provide solutions to old problems. Our astounding revelation that mobile technology is helping to fight corruption in Pakistan, improve health delivery in Bangladesh, provide access to government by the ordinary citizen in India, and help monitor elections in Afghanistan. If this Is possible in some place in poor South Asian countries considered the most poor in the world, then how can these examples be spread to further in these counties or in other countries? Logged on Government provides a look back on conventional solutions that have mostly not worked and why mobile solutions are taking hold. The book offers a model called Smart Proactive Government based on a Feedback model being used in Punjab, Pakistan. The book also offers five solutions that are present in every successful mobile and smart phone example that the authors reviewed. (Book PDF (20.18 MB) | View Chapters).”
The future of intelligence is distributed – and so is the future of government
Craig Thomler at eGovAU: “…Now we can do much better. Rather than focusing on electing and appointing individual experts – the ‘nodes’ in our governance system, governments need to focus on the network that interconnects citizens, government, business, not-for-profits and other entities.
Rather than limiting decision making to a small core of elected officials (supported by appointed and self-nominated ‘experts’), we need to design decision-making systems which empower broad groups of citizens to self-inform and involve themselves at appropriate steps of decision-making processes.
This isn’t quite direct democracy – where the population weighs in on every issue, but it certainly is a few steps removed from the alienating ‘representative democracy’ that many countries use today.
What this model of governance allows for is far more agile and iterative policy debates, rapid testing and improvement of programs and managed distributed community support – where anyone in a community can offer to help others within a framework which values, supports and rewards their involvement, rather than looks at it with suspicion and places many barriers in the way.
Of course we need the mechanisms designed to support this model of government, and the notion that they will simply evolve out of our existing system is quite naive.
Our current governance structures are evolutionary – based on the principle that better approaches will beat out ineffective and inefficient ones. Both history and animal evolution have shown that inefficient organisms can survive for extremely long times, and can require radical environmental change (such as mass extinction events) for new forms to be successful.
On top of this the evolution of government is particularly slow as there’s far fewer connections between the 200-odd national governments in the world than between the 200+ Watson artificial intelligences in the world.
While every Watson learns what other Watsons learn rapidly, governments have stilted and formal mechanisms for connection that mean that it can take decades – or even longer – for them to recognise successes and failures in others.
In other words, while we have a diverse group of governments all attempting to solve many of the same basic problems, the network effect isn’t working as they are all too inward focused and have focused on developing expertise ‘nodes’ (individuals) rather than expert networks (connections).
This isn’t something that can be fixed by one, or even a group of ten or more governments – thereby leaving humanity in the position of having to repeat the same errors time and time again, approving the same drugs, testing the same welfare systems, trialing the same legal regimes, even when we have examples of their failures and successes we could be learning from.
So therefore the best solution – perhaps the only workable solution for the likely duration of human civilisation on this planet – is to do what some of our forefather did and design new forms of government in a planned way.
Rather than letting governments slowly and haphazardly evolve through trial and error, we should take a leaf out of the book of engineers, and place a concerted effort into designing governance systems that meet human needs.
These systems should involve and nurture strong networks, focusing on the connections rather than the nodes – allowing us to both leverage the full capabilities of society in its own betterment and to rapidly adjust settings when environments and needs change….”
Governing the Smart, Connected City
Blog by Susan Crawford at HBR: “As politics at the federal level becomes increasingly corrosive and polarized, with trust in Congress and the President at historic lows, Americans still celebrate their cities. And cities are where the action is when it comes to using technology to thicken the mesh of civic goods — more and more cities are using data to animate and inform interactions between government and citizens to improve wellbeing.
Every day, I learn about some new civic improvement that will become possible when we can assume the presence of ubiquitous, cheap, and unlimited data connectivity in cities. Some of these are made possible by the proliferation of smartphones; others rely on the increasing number of internet-connected sensors embedded in the built environment. In both cases, the constant is data. (My new book, The Responsive City, written with co-author Stephen Goldsmith, tells stories from Chicago, Boston, New York City and elsewhere about recent developments along these lines.)
For example, with open fiber networks in place, sending video messages will become as accessible and routine as sending email is now. Take a look at rhinobird.tv, a free lightweight, open-source video service that works in browsers (no special download needed) and allows anyone to create a hashtag-driven “channel” for particular events and places. A debate or protest could be viewed from a thousand perspectives. Elected officials and public employees could easily hold streaming, virtual town hall meetings.
Given all that video and all those livestreams, we’ll need curation and aggregation to make sense of the flow. That’s why visualization norms, still in their infancy, will become a greater part of literacy. When the Internet Archive attempted late last year to “map” 400,000 hours of television news, against worldwide locations, it came up with pulsing blobs of attention. Although visionary Kevin Kelly has been talking about data visualization as a new form of literacy for years, city governments still struggle with presenting complex and changing information in standard, easy-to-consume ways.
Plenar.io is one attempt to resolve this. It’s a platform developed by former Chicago Chief Data Officer Brett Goldstein that allows public datasets to be combined and mapped with easy-to-see relationships among weather and crime, for example, on a single city block. (A sample question anyone can ask of Plenar.io: “Tell me the story of 700 Howard Street in San Francisco.”) Right now, Plenar.io’s visual norm is a map, but it’s easy to imagine other forms of presentation that could become standard. All the city has to do is open up its widely varying datasets…”
For example, with open fiber networks in place, sending video messages will become as accessible and routine as sending email is now. Take a look at rhinobird.tv, a free lightweight, open-source video service that works in browsers (no special download needed) and allows anyone to create a hashtag-driven “channel” for particular events and places. A debate or protest could be viewed from a thousand perspectives. Elected officials and public employees could easily hold streaming, virtual town hall meetings.
Given all that video and all those livestreams, we’ll need curation and aggregation to make sense of the flow. That’s why visualization norms, still in their infancy, will become a greater part of literacy. When the Internet Archive attempted late last year to “map” 400,000 hours of television news, against worldwide locations, it came up with pulsing blobs of attention. Although visionary Kevin Kelly has been talking about data visualization as a new form of literacy for years, city governments still struggle with presenting complex and changing information in standard, easy-to-consume ways.
Plenar.io is one attempt to resolve this. It’s a platform developed by former Chicago Chief Data Officer Brett Goldstein that allows public datasets to be combined and mapped with easy-to-see relationships among weather and crime, for example, on a single city block. (A sample question anyone can ask of Plenar.io: “Tell me the story of 700 Howard Street in San Francisco.”) Right now, Plenar.io’s visual norm is a map, but it’s easy to imagine other forms of presentation that could become standard. All the city has to do is open up its widely varying datasets…”
Why Hasn’t ‘Big Data’ Saved Democracy?
Review by Marshall Ganz : “In his new book, The Big Disconnect: Why the Internet Hasn’t Transformed Politics (Yet), Personal Democracy Forum founder Micah Sifry asks a very good question: what ever happened to the prediction that a radically cheapened cost of connection would displace traditional political gatekeepers, not only radically opening up politics, but also producing a real shift in the balance of power?
Sifry, an insider, offers an honest assessment of the effects of the new technology on politics, calling out his colleagues courageously in ways that can be useful to outsiders as well. Defining his terms at the outset, he provides us with a helpful roadmap: the “Internet” is “the set of protocols and practices that allow computing and communications devices to connect to each other and share information and the set of cultural behaviors and expectations that this underlying foundation makes possible.” Politics is “everything we can and must do together;” democracy is “a system in which all people participate fully and equally in decisions that affect their lives.”
…
Sifry’s case is persuasive, but incomplete. Although he sees the problem, he locates its sources, and solutions, only in the technology. But what about the people who chose to use technology in the ways they do? Is the agency in the tools, or in those who use them?
One glaringly important question noted but left unaddressed is why new technology seems to have had a far greater impact on progressive politics than on conservative ones. Why is the NRA, for example, indifferent to the new technology, while anti-gun violence groups are almost entirely dependent on it? Are progressives more technologically minded? Do their causes and candidates lend themselves more to digital mobilization? Are they more creative?
That new technology enables the emergence of a professional cadre whose wealth and power depend on control of that technology is nothing new. It happened with television, direct mail fund raising, and early forms of targeting, too. But why, unlike television and direct mail, has the Internet effect has been far more evident on the Left than on the Right?
The fact that Sifry fails to explore this question may be rooted not only in a kind of “technological determinism” but also in a kind of commitment to direct democracy—a belief that “true” democracy requires the ongoing and unmediated expression of a preference by every individual affected by any decision.” This makes it hard for him to recognize good organizing, which is based on the role of leadership in mobilizing, developing and expressing shared preferences through organization, party, or chosen representative….”
Research Handbook On Transparency
New book edited by Padideh Ala’i and Robert G. Vaughn: ‘”Transparency” has multiple, contested meanings. This broad-ranging volume accepts that complexity and thoughtfully contrasts alternative views through conceptual pieces, country cases, and assessments of policies–such as freedom of information laws, whistleblower protections, financial disclosure, and participatory policymaking procedures.’
– Susan Rose-Ackerman, Yale University Law School, US
In the last two decades transparency has become a ubiquitous and stubbornly ambiguous term. Typically understood to promote rule of law, democratic participation, anti-corruption initiatives, human rights, and economic efficiency, transparency can also legitimate bureaucratic power, advance undemocratic forms of governance, and aid in global centralization of power. This path-breaking volume, comprising original contributions on a range of countries and environments, exposes the many faces of transparency by allowing readers to see the uncertainties, inconsistencies and surprises contained within the current conceptions and applications of the term….
The expert contributors identify the goals, purposes and ramifications of transparency while presenting both its advantages and shortcomings. Through this framework, they explore transparency from a number of international and comparative perspectives. Some chapters emphasize cultural and national aspects of the issue, with country-specific examples from China, Mexico, the US and the UK, while others focus on transparency within global organizations such as the World Bank and the WTO. A number of relevant legal considerations are also discussed, including freedom of information laws, financial disclosure of public officials and whistleblower protection…”
Tell Everyone: Why We Share & Why It Matters
Book review by Tim Currie: “Were the people sharing these stories outraged by Doug Ford’s use of an ethnic stereotype? Joyfully amused at the ongoing campaign gaffes? Or saddened by the state of public discourse at a democratic forum? All of these emotions likely played a part in driving social shares. But a growing body of research suggests some emotions are more influential than others.
Alfred Hermida’s new book, Tell Everyone: Why We Share & Why It Matters, takes us through that research—and a pile more, from Pew Center data on the makeup of our friends lists to a Yahoo! study on the nature of social influencers. One of Hermida’s accomplishments is to have woven that research into a breezy narrative crammed with examples from recent headlines.
Not up on the concept of cognitive dissonance? Homophily? Pluralistic ignorance? Or situational awareness? Not a deal breaker. Just in time for Halloween, Tell Everyone (Doubleday Canada) is a social science literature review masquerading as light bedside reading from the business management section. Hermida has tucked the academic sourcing into 21 pages of endnotes and offered a highly readable 217-page tour of social movements, revolutions, journalistic gaffes and corporate PR disasters.
The UBC journalism professor moves easily from chronicling the activities of Boston Marathon Redditors to Tahrir Square YouTubers to Japanese earthquake tweeters. He dips frequently into the past for context, highlighting the roles of French Revolution-era salon “bloggers,” 18th-century Portuguese earthquake pamphleteers and First World War German pilots.
Indeed, this book is only marginally about journalism, made clear by the absence of a reference to “news” in its title. It is at least as much about sociology and marketing.
Mathew Ingram argued recently that journalism’s biggest competitors don’t look like journalism. Hermida would no doubt agree. The Daily Show’s blurring of comedy and journalism is now a familiar ingredient in people’s information diet, he writes. And with nearly every news event, “the reporting by journalists sits alongside the accounts, experiences, opinions and hopes of millions of others.” Journalistic accounts didn’t define Mitt Romney’s 2012 U.S. presidential campaign, he notes; thousands of users did, with their “binders full of women” meme.
Hermida devotes a chapter to chronicling the ways in which consumers are asserting themselves in the marketplace—and the ways in which brands are reacting. The communications team at Domino’s Pizza failed to engage YouTube users over a gross gag video made by two of its employees in 2009. But Lionsgate films effectively incorporated user-generated content into its promotions for the 2012 Hunger Games movie. Some of the examples are well known but their value lies in the considerable context Hermida provides.
Other chapters highlight the role of social media in the wake of natural disasters and how users—and researchers—are working to identify hoaxes.
Tell Everyone is the latest in a small but growing number of mass-market books aiming to distill social media research from the ivory tower. The most notable is Wharton School professor Jonah Berger’s 2013 book Contagious: Why Things Catch On. Hermida discusses the influential 2009 research conducted by Berger and his colleague Katherine Milkman into stories on the New York Times most-emailed list. Those conclusions now greatly influence the work of social media editors.
But, in this instance at least, the lively pacing of the book sacrifices some valuable detail.
Hermida explores the studies’ main conclusion: positive content is more viral than negative content, but the key is the presence of activating emotions in the user, such as joy or anger. However, the chapter gives only a cursory mention to a finding Berger discusses at length in Contagious—the surprisingly frequent presence of science stories in the list of most-emailed articles. The emotion at play is awe—what Berger characterizes as not quite joy, but a complex sense of surprise, unexpectedness or mystery. It’s an important aspect of our still-evolving understanding of how we use social media….”
Alfred Hermida’s new book, Tell Everyone: Why We Share & Why It Matters, takes us through that research—and a pile more, from Pew Center data on the makeup of our friends lists to a Yahoo! study on the nature of social influencers. One of Hermida’s accomplishments is to have woven that research into a breezy narrative crammed with examples from recent headlines.
Not up on the concept of cognitive dissonance? Homophily? Pluralistic ignorance? Or situational awareness? Not a deal breaker. Just in time for Halloween, Tell Everyone (Doubleday Canada) is a social science literature review masquerading as light bedside reading from the business management section. Hermida has tucked the academic sourcing into 21 pages of endnotes and offered a highly readable 217-page tour of social movements, revolutions, journalistic gaffes and corporate PR disasters.
The UBC journalism professor moves easily from chronicling the activities of Boston Marathon Redditors to Tahrir Square YouTubers to Japanese earthquake tweeters. He dips frequently into the past for context, highlighting the roles of French Revolution-era salon “bloggers,” 18th-century Portuguese earthquake pamphleteers and First World War German pilots.
Indeed, this book is only marginally about journalism, made clear by the absence of a reference to “news” in its title. It is at least as much about sociology and marketing.
Mathew Ingram argued recently that journalism’s biggest competitors don’t look like journalism. Hermida would no doubt agree. The Daily Show’s blurring of comedy and journalism is now a familiar ingredient in people’s information diet, he writes. And with nearly every news event, “the reporting by journalists sits alongside the accounts, experiences, opinions and hopes of millions of others.” Journalistic accounts didn’t define Mitt Romney’s 2012 U.S. presidential campaign, he notes; thousands of users did, with their “binders full of women” meme.
Hermida devotes a chapter to chronicling the ways in which consumers are asserting themselves in the marketplace—and the ways in which brands are reacting. The communications team at Domino’s Pizza failed to engage YouTube users over a gross gag video made by two of its employees in 2009. But Lionsgate films effectively incorporated user-generated content into its promotions for the 2012 Hunger Games movie. Some of the examples are well known but their value lies in the considerable context Hermida provides.
Other chapters highlight the role of social media in the wake of natural disasters and how users—and researchers—are working to identify hoaxes.
Tell Everyone is the latest in a small but growing number of mass-market books aiming to distill social media research from the ivory tower. The most notable is Wharton School professor Jonah Berger’s 2013 book Contagious: Why Things Catch On. Hermida discusses the influential 2009 research conducted by Berger and his colleague Katherine Milkman into stories on the New York Times most-emailed list. Those conclusions now greatly influence the work of social media editors.
But, in this instance at least, the lively pacing of the book sacrifices some valuable detail.
Hermida explores the studies’ main conclusion: positive content is more viral than negative content, but the key is the presence of activating emotions in the user, such as joy or anger. However, the chapter gives only a cursory mention to a finding Berger discusses at length in Contagious—the surprisingly frequent presence of science stories in the list of most-emailed articles. The emotion at play is awe—what Berger characterizes as not quite joy, but a complex sense of surprise, unexpectedness or mystery. It’s an important aspect of our still-evolving understanding of how we use social media….”
Behavioral Economics of Education: Progress and Possibilities
Paper by Adam M. Lavecchia, Heidi Liu, and Philip Oreopoulos:” Behavioral economics attempts to integrate insights from psychology, neuroscience, and sociology in order to better predict individual outcomes and develop more effective policy. While the field has been successfully applied to many areas, education has, so far, received less attention – a surprising oversight, given the field’s key interest in long-run decision-making and the propensity of youth to make poor long-run decisions. In this chapter, we review the emerging literature on the behavioral economics of education. We first develop a general framework for thinking about why youth and their parents might not always take full advantage of education opportunities. We then discuss how these behavioral barriers may be preventing some students from improving their long-run welfare. We evaluate the recent but rapidly growing efforts to develop policies that mitigate these barriers, many of which have been examined in experimental settings. Finally, we discuss future prospects for research in this emerging field.”
From Information to Smart Society
New book edited by Mola, Lapo, Pennarola, Ferdinando, and Za, Stefano: “This book presents a collection of research papers focusing on issues emerging from the interaction of information technologies and organizational systems. In particular, the individual contributions examine digital platforms and artifacts currently adopted in both the business world and society at large (people, communities, firms, governments, etc.). The topics covered include: virtual organizations, virtual communities, smart societies, smart cities, ecological sustainability, e-healthcare, e-government, and interactive policy-making (IPM)…”