Harvard Business School Case Study by Mitchell Weiss: “Funding to scale Citizens Connect, Boston’s 311 app, is both a blessing and a burden and tests two public entrepreneurs. In 2012, the Commonwealth of Massachusetts provides Boston’s Mayor’s Office of New Urban Mechanics with a grant to scale Citizens Connect across the state. The money gives two co-creators of Citizens Connect, Chris Osgood and Nigel Jacob, a chance to grow their vision for citizen-engaged governance and civic innovation, but it also requires that the two City of Boston leaders sit on a formal selection committee that pits their original partner, Connected Bits, against another player that might meet the specific requirements for delivering a statewide version. The selection and scaling process raise questions beyond just which partner to choose. What would happen to the Citizens Connect brand as Osgood and Jacob’s product spreads across the state? Who could help scale their work best then nationally? Which business models were best positioned to drive that growth? What intellectual property arrangements would best enable it? And what role should the two city employees have, anyway, in scaling Citizens Connect outside of Boston in the first place? These questions hung in the air as they pondered the one big one about passing over Connected Bits for another partner: should they?…(More)”
Scenario Planning Case Studies Using Open Government Data
We present two case studies that demonstrate the utility of data integration and web mapping. As a simple proof of concept the user can explore different scenarios in each case study by indicating the relative weightings to be used for the decision making process. Both case studies are demonstrated as a publicly available interactive map-based website….(More)”
The story of the sixth myth of open data and open government
Paper by Ann-Sofie Hellberg and Karin Hedström: “The aim of this paper is to describe a local government effort to realise an open government agenda. This is done using a storytelling approach….The empirical data is based on a case study. We participated in, as well as followed, the process of realising an open government agenda on a local level, where citizens were invited to use open public data as the basis for developing apps and external web solutions. Based on an interpretative tradition, we chose storytelling as a way to scrutinize the competition process. In this paper, we present a story about the competition process using the story elements put forward by Kendall and Kendall (2012).
….Our research builds on existing research by proposing the myth that the “public” wants to make use of open data. We provide empirical insights into the challenge of gaining benefits from open public data. In particular, we illustrate the difficulties in getting citizens interested in using open public data. Our case shows that people seem to like the idea of open public data, but do not necessarily participate actively in the data re-use process…..This study illustrates the difficulties of promoting the re-use of open public data. Public organisations that want to pursue an open government agenda can use our findings as empirical insights… (More)”
Motivations for sustained participation in crowdsourcing: The role of talk in a citizen science case study
Paper by CB. Jackson, C. Østerlund, G. Mugar, KDV. Hassman for the Proceedings of the Forty-eighth Hawai’i International Conference on System Science (HICSS-48): “The paper explores the motivations of volunteers in a large crowdsourcing project and contributes to our understanding of the motivational factors that lead to deeper engagement beyond initial participation. Drawing on the theory of legitimate peripheral participation (LPP) and the literature on motivation in crowdsourcing, we analyze interview and trace data from a large citizen science project. The analyses identify ways in which the technical features of the projects may serve as motivational factors leading participants towards sustained participation. The results suggest volunteers first engage in activities to support knowledge acquisition and later share knowledge with other volunteers and finally increase participation in Talk through a punctuated process of role discovery…(More)”
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Ebola’s Information Paradox
It was a full seven days after Baby Lewis became ill, and four days after the Soho residents began dying in mass numbers, before the outbreak warranted the slightest mention in the London papers, a few short lines indicating that seven people had died in the neighborhood. (The report understated the growing death toll by an order of magnitude.) It took two entire weeks before the press began treating the outbreak as a major news event for the city.
Within Soho, the information channels were equally unreliable. Rumors spread throughout the neighborhood that the entire city had succumbed at the same casualty rate, and that London was facing a catastrophe on the scale of the Great Fire of 1666. But this proved to be nothing more than rumor. Because the Soho crisis had originated with a single-point source — the poisoned well — its range was limited compared with its intensity. If you lived near the Broad Street well, you were in grave danger. If you didn’t, you were likely to be unaffected.
Compare this pattern of information flow to the way news spreads now. On Thursday, Craig Spencer, a New York doctor, was given a diagnosis of Ebola after presenting a high fever, and the entire world learned of the test result within hours of the patient himself learning it. News spread with similar velocity several weeks ago with the Dallas Ebola victim, Thomas Duncan. In a sense, it took news of the cholera outbreak a week to travel the 20 blocks from Soho to Fleet Street in 1854; today, the news travels at nearly the speed of light, as data traverses fiber-optic cables. Thanks to that technology, the news channels have been on permanent Ebola watch for weeks now, despite the fact that, as the joke went on Twitter, more Americans have been married to Kim Kardashian than have died in the United States from Ebola.
As societies and technologies evolve, the velocities vary with which disease and information can spread. The tremendous population density of London in the 19th century enabled the cholera bacterium to spread through a neighborhood with terrifying speed, while the information about that terror moved more slowly. This was good news for the mental well-being of England’s wider population, which was spared the anxiety of following the death count as if it were a stock ticker. But it was terrible from a public health standpoint; the epidemic had largely faded before the official institutions of public health even realized the magnitude of the outbreak….
Information travels faster than viruses do now. This is why we are afraid. But this is also why we are safe.”
The Power of Data Analytics to Transform Government
Hugo Moreno at Forbes: “It’s mind boggling to consider the amount of information governments collect on their citizens. We often just expect them to manage and analyze it in a way that will benefit the general public and facilitate government transparency. However, it can be difficult to organize, manage and extract insights from these large, diverse data sets. According to “Analytics Paves the Way for Better Government,” a Forbes Insights case study sponsored by SAP, government leaders have called for investment in Big Data analytics capabilities to modernize government services and aid their economies. State and federal governments have begun to recognize the benefits of applying analytics. In fact, McKinsey & Co. estimates that by digitizing information, disseminating public data sets and applying analytics to improve decision making, governments around the world can act as catalysts for more than $3 trillion in economic value.
Governor Mike Pence of Indiana understands the importance of data and is keeping it at the center of his long-term vision for improving the management and effectiveness of government programs and making Indiana a leader in data-driven decision making. A year after taking office, he ordered state agencies to collaborate and share data to improve services. Data sharing is not a common practice in states, but the governor recognized that sharing data will lead to a successful enterprise.
Insights from analytics will help Indiana pursue six public policy goals: Increase private sector employment; attract new investment to the state; improve the quality of the state’s workforce; improve the health, safety and well-being of families; increase high school graduation rates; and improve the math and reading skills of elementary students….”
Proof: How Crowdsourced Election Monitoring Makes a Difference
Patrick Meier at iRevolution: “My colleagues Catie Bailard & Steven Livingston have just published the results of their empirical study on the impact of citizen-based crowdsourced election monitoring. Readers of iRevolution may recall that my doctoral dissertation analyzed the use of crowdsourcing in repressive environments and specifically during contested elections. This explains my keen interest in the results of my colleagues’ news data-driven study, which suggests that crowdsourcing does have a measurable and positive impact on voter turnout.
Catie and Steven are “interested in digitally enabled collective action initiatives” spearheaded by “nonstate actors, especially in places where the state is incapable of meeting the expectations of democratic governance.” They are particularly interested in measuring the impact of said initiatives. “By leveraging the efficiencies found in small, incremental, digitally enabled contributions (an SMS text, phone call, email or tweet) to a public good (a more transparent election process), crowdsourced elections monitoring constitutes [an] important example of digitally-enabled collective action.” To be sure, “the successful deployment of a crowdsourced elections monitoring initiative can generate information about a specific political process—information that would otherwise be impossible to generate in nations and geographic spaces with limited organizational and administrative capacity.”
To this end, their new study tests for the effects of citizen-based crowdsourced election monitoring efforts on the 2011 Nigerian presidential elections. More specifically, they analyzed close to 30,000 citizen-generated reports of failures, abuses and successes which were publicly crowdsourced and mapped as part of the Reclaim Naija project. Controlling for a number of factors, Catie and Steven find that the number and nature of crowdsourced reports is “significantly correlated with increased voter turnout.”
In conclusion, the authors argue that “digital technologies fundamentally change information environments and, by doing so, alter the opportunities and constraints that the political actors face.” This new study is an important contribution to the literature and should be required reading for anyone interested in digitally-enabled, crowdsourced collective action. Of course, the analysis focuses on “just” one case study, which means that the effects identified in Nigeria may not occur in other crowdsourced, election monitoring efforts. But that’s another reason why this study is important—it will no doubt catalyze future research to determine just how generalizable these initial findings are.”
Creating a national citizen engagement process for energy policy
Paper by Nick Pidgeon et al in the Proceedings of the National Academy of Sciences (PNAS): “This paper examines some of the science communication challenges involved when designing and conducting public deliberation processes on issues of national importance. We take as our illustrative case study a recent research project investigating public values and attitudes toward future energy system change for the United Kingdom. National-level issues such as this are often particularly difficult to engage the public with because of their inherent complexity, derived from multiple interconnected elements and policy frames, extended scales of analysis, and different manifestations of uncertainty. With reference to the energy system project, we discuss ways of meeting a series of science communication challenges arising when engaging the public with national topics, including the need to articulate systems thinking and problem scale, to provide balanced information and policy framings in ways that open up spaces for reflection and deliberation, and the need for varied methods of facilitation and data synthesis that permit access to participants’ broader values. Although resource intensive, national-level deliberation is possible and can produce useful insights both for participants and for science policy.”
For Big-Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insights
in the New York Times: “Technology revolutions come in measured, sometimes foot-dragging steps. The lab science and marketing enthusiasm tend to underestimate the bottlenecks to progress that must be overcome with hard work and practical engineering.
The field known as “big data” offers a contemporary case study. The catchphrase stands for the modern abundance of digital data from many sources — the web, sensors, smartphones and corporate databases — that can be mined with clever software for discoveries and insights. Its promise is smarter, data-driven decision-making in every field. That is why data scientist is the economy’s hot new job.
Yet far too much handcrafted work — what data scientists call “data wrangling,” “data munging” and “data janitor work” — is still required. Data scientists, according to interviews and expert estimates, spend from 50 percent to 80 percent of their time mired in this more mundane labor of collecting and preparing unruly digital data, before it can be explored for useful nuggets….”
Crowd-Sourced Augmented Realities: Social Media and the Power of Digital Representation
Pre-publication version of a chapter by Matthew Zook, Mark Graham and Andrew Boulton in S. Mains, J. Cupples, and C. Lukinbeal. Mediated Geographies/Geographies of Media. Springer Science International Handbooks in Human Geography, (Forthcoming): “A key and distinguishing feature of society today is that its increasingly documented by crowd-sourced social media discourse about public experiences. Much of this social media content is geo-referenced and exists in layers of information draped over the physical world, invisible to the naked eye but accessible to range of digital (and often) mobile devices. When we access these information layers, they mediate the mundane practices of everyday life, (e.g., What or who is nearby? How do I move from point A to B) through the creation of augmented realities, i.e., unstable, context dependent representations of places brought temporary into being by combining the space of material and virtual experience.
These augmented realities, as particular representations of locations, places and events, are vigorously promoted or contested and thus become important spots in which power is exercised, much in the same way that maps have long had power to reinforce or challenge the status quo. However, because many of the processes and practices behind the creation of augmented realities are unseen, its power is often overlooked in the process of representation or place-making. This paper highlights the points at which power acts and demonstrate that all representations of place – including augmented realities derived from social media – are products of and productive of, social relationships and associated power relations.”
Building upon a case study of Abbottabad, Pakistan after the raid on Osama bin Laden’s compound we construct a four-part typology of the power relations emerging from social practices that enact augmented realities. These include: Distributed power, the complex and socially/spatially distributed authorship of user-generated geospatial content; Communication power, the ways in which particular representations gain prominence; language is a particularly key variable; Code power, the autonomy of software code to regulate actions, or mediate content, or ordering representations in particular ways; and Timeless power, the ways in which digital representations of place reconfigure temporal relationships, particularly sequence and duration, between people and events.