Paper by Nunzio Casalino and Peter Bednar: “Recent debate and associated initiatives dealing with public sector innovation have mainly aimed at improving the effectiveness and efficiency of the delivery of public services and improved transparency and user friendliness. Beyond typical administrative reforms, innovation is expected to help address societal challenges such as the aging population, inclusion, health care, education, public safety, environment and greenhouse gas emissions reduction. The public sector consists of a complex open system of organizations with various tasks. Therefore, decision-making can be slower than in the private sector because of large chains of command. Innovations here will often have an impact across this complex organizational structure, and thus must be supported by a robust strategy. To strengthen democracy, promote government efficiency and effectiveness, discourage wastes and misuses of government resources, public administrations have to promote a new stronger level of openness in government. The purpose of this manuscript is to describe an innovative approach for the governance of public systems and services, currently applied in the Italian public administration domain, which could be easily replicated in other countries as well. Two initiatives, to collect and provide relevant public information gathered from different and heterogeneous public organizations, to improve government processes and increase quality of services for citizens and companies, are described. The cases adopted have been validated through a case analysis approach involving the Italian Agency for the public administration digitalization to understand new e-government scenarios within the context of governmental reforms heavily influenced by the principles of Open Government Model….(More)
Cities’ Open Government Data Heart Beat
Paper by Nahon, Karine and Peled, Alon and Shkabatur, Jennifer for The International Conference for E-Democracy & Open Government: “This paper develops and tests a theoretical model, which assesses the commitment of cities to the concept of open government data (OGD), according to three levels. Level 1, ‘Way of life,’ reflects a high commitment to OGD; Level 2, ‘On the Fence,’ represents either a low or erratic commitment to OGD; Level 3, ‘Lip Service,’ refers to either scarce or no commitment to OGD. These levels draw on four key dimensions: 1) Rhythm; 2) Span of Issues; 3) Disclosure; and 4) Feedback. We empirically examine this theoretical framework using longitudinal mixed-method analysis of the OGD behavior of 16 US cities for a period of four years, using a large novel corpus of municipal OGD metadata, as well as primary qualitative and secondary quantitative indicators. This methodology allows us to represent, for the first time, the evolving OGD commitment — or “OGD heart beat” — of cities….(More)”
Why Entrepreneurs Should Go Work for Government
Michael Blanding interviewing Mitchell B. Weiss for HBS Working Knowledge: “…In the past five years, cities around the world have increasingly become laboratories in innovation, producing idea labs that partner with outside businesses and nonprofits to solve thorny public policy problems—and along the way deal with challenges of knowing when to follow the established ways of government and when to break the mold. States and federal government, too, have been reaching out to designers, engineers, and entrepreneurs to help redo their operations. The new US Digital Service, for example, follows other federal efforts like 18F and the Presidential Innovation Fellows to streamline government websites and electronic records—adapting from models in the UK and elsewhere.
“We have many talented people in government, but by and large they have tended to be analysts and strategists, rather than inventors and builders,” says Weiss, who hopes his course can help change that. “One reason we didn’t have them is we weren’t training them. At policy schools we had not been training people to be all that entrepreneurial, and at business schools, we were not prepping or prodding entrepreneurial people to enter the public sector or even just to invent for the public realm.”
“Government should be naturals at crowdsourcing”
Government entrepreneurship takes many forms. There are “public-public entrepreneurs” who work within government agencies, as well as “private-public entrepreneurs” who establish private businesses that sell to government agencies or sometimes to citizens directly.
In Philadelphia, for example, Textizen enables citizens to communicate with city health and human services agencies by text messages, leading to new enforcement on air pollution controls. In California, OpenCounter streamlined registration for small businesses and provided zoning clearances in a fraction of the usual time. In New York, Mark43 is developing software to analyze crime statistics and organize law enforcement records. And in Boston, Bridj developed an on-demand bus service for routes underserved by public transportation.
The innovations are happening at a scale large enough to even attract venture capital investment, despite past VC skepticism about funding public projects.
“There was this paradox—on the one hand, government is the biggest customer in the world; on the other hand, 90 out of 100 VCs would say they don’t back business models that sell to government,” says Weiss. “Though that’s starting to change as startups and government are starting to change.” OpenGov received a $15 million round of funding last spring led by Andreessen Horowitz, and $17 million was pumped into civic social-networking app MindMixer last fall….
Governments could attract even more capital by examining their procurement rules to speed buying, says Weiss, giving them that same sense of urgency and lean startup practices needed to be successful in entrepreneurial projects…(More)”
Who Retweets Whom: How Digital And Legacy Journalists Interact on Twitter
Paper by Michael L. Barthel, Ruth Moon, and William Mari published by the Tow Center: “When bloggers and citizen journalists became fixtures of the U.S. media environment, traditional print journalists responded with a critique, as this latest Tow Center brief says. According to mainstream reporters, the interlopers were “unprofessional, unethical, and overly dependent on the very mainstream media they criticized. In a 2013 poll of journalists, 51 percent agreed that citizen journalism is not real journalism”.
However, the digital media environment, a space for easy interaction has provided opportunities for journalists of all stripes to vault the barriers between legacy and digital sectors; if not collaborating, then perhaps communicating at least.
This brief by three PhD candidates at The University of Washington, Michael L. Barthel, Ruth Moon and William Mari, takes a snapshot of how fifteen political journalists from BuzzFeed, Politico and The New York Times, interact (representing digital, hybrid and legacy outlets respectively). The researchers place those interactions in the context of reporters’ longstanding traditions of gossip, goading, collaboration and competition.
They found tribalism, pronounced most strongly in the legacy outlet, but present across each grouping. They found hierarchy and status-boosting. But those phenomena were not absolute; there were also instances of co-operation, sharing and mutual benefit. None-the-less, by these indicators at least; there was a clear pecking order: Digital and hybrid organizations’ journalists paid “more attention to traditional than digital publications”.
You can download your copy here (pdf).”
Turning smartphones into personal, real-time pollution-location monitors
Kurzweil Newsletter: “Scientists reporting in the ACS journal Environmental Science & Technology have used smartphone and sensing technology to better pinpoint times and locations of the worst air pollution, which is associated with respiratory and cardiovascular problems.
Most such studies create a picture of exposure based on air pollution levels outside people’s homes. This approach ignores big differences in air quality in school and work environments. It also ignores spikes in pollution that happen over the course of the day such as during rush hour.
To fill in these gaps, Mark J. Nieuwenhuijsen and colleagues in Spain, The Netherlands, and the U.S. equipped 54 school children from from 29 different schools around Barcelona with smartphones that could track their location and physical activity. The children also received sensors that continuously measured the ambient levels of black carbon, a component of soot. Although most children spent less than 4 percent of their day traveling to and from school, this exposure contributed 13 percent of their total potential black carbon exposure.
The study was associated with BREATHE, an epidemiological study of the relation between air pollution and brain development.
The researchers conclude that mobile technologies could contribute valuable new insights into air pollution exposure….
Participatory Democracy’s Emerging Tools
As we explore the role of new technologies in changing how government makes policies and delivers services, one form of technology is emerging that has the potential to foster decision-making that’s not only more effective but also more legitimate: platforms for organizing communication by groups across a distance….
Whether the goal is setting an agenda, brainstorming solutions, choosing a path forward and implementing it, or collaborating to assess what works, here are some examples of new tools for participatory democracy:
Agenda-setting and brainstorming: Loomio is an open-source tool designed to make it easy for small to medium-sized groups to make decisions together. Participants can start a discussion on a given topic and invite people into a conversation. As the conversation progresses, anyone can put a proposal to a vote. It is specifically designed to enable consensus-based decision-making.
Google Moderator is a service that uses crowdsourcing to rank user-submitted questions, suggestions and ideas. The tool manages feedback from a large number of people, any of whom who can submit a question or vote up or down on the top questions. The DeLib Dialogue App is a service from the United Kingdom that also allows participants to suggest ideas, refine them via comments and discussions, and rate them to bring the best ideas to the top. And Your Priorities is a service that enables citizens to voice, debate and prioritize ideas.
Voting: Democracy 2.1 and OpaVote are tools that allow people to submit ideas, debate them and then vote on them. Democracy 2.1 offers voters the additional option of casting up to four equally weighted “plus votes” and two “minus votes.” OpaVote is designed to enable elections where voters select a single candidate, employ ranked-choice or approval voting, or use any combination of voting methods.
Drafting: DemocracyOS was designed specifically to enable co-creation of legislation or policy proposals. With the tool, large numbers of users can build proposals, either from scratch or by branching off from existing drafts. Currently in use in several cities, it is designed to get citizen input into a process where final decision-making authority still rests with elected officials or civil servants. For drafting together, Hypothes.is is an annotation tool that can be used to collaboratively annotate documents.
Discussion and Q&A: Stack Exchange enables a community to set up its own free question-and-answer board. It is optimal when a group has frequent, highly granular, factual questions that might be answered by others using the service. ….(More)”
Study to examine Australian businesses’ use of government data
ComputerWorld: “The New York University’s GovLab and the federal Department of Communications have embarked on a study of how Australian organisations are employing government data sets.
The ‘Open Data 500’ study was launched today at the Locate15 conference. It aims to provide a basis for assessing the value of open data and encourage the development of new businesses based on open data, as well as encourage discussion about how to make government data more useful to businesses and not-for-profit organisations.
The study is part of a series of studies taking place under the auspices of the OD500 Global Network.
“This study will help ensure the focus of Government is on the publication of high value datasets, with an emphasis on quality rather than quantity,” a statement issued by the Department of Communications said.
“Open Data 500 advances the government’s policy of increasing the number of high value public datasets in Australia in an effort to drive productivity and innovation, as well as its commitment to greater consultation with private sector stakeholders on open data,” Communications Minister Malcolm Turnbull said in remarks prepared for the Locate 15 conference….(More)”
New take on game theory offers clues on why we cooperate
Alexander J Stewart at The Conversation: “Why do people cooperate? This isn’t a question anyone seriously asks. The answer is obvious: we cooperate because doing so is usually synergistic. It creates more benefit for less cost and makes our lives easier and better.
Maybe it’s better to ask why don’t people always cooperate. But the answer here seems obvious too. We don’t do so if we think we can get away with it. If we can save ourselves the effort of working with someone else but still gain the benefits of others’ cooperation. And, perhaps, we withhold cooperation as punishment for others’ past refusal to collaborate with us.
Since there are good reasons to cooperate – and good reasons not to do so – we are left with a question without an obvious answer: under what conditions will people cooperate?
Despite its seeming simplicity, this question is very complicated, from both a theoretical and an experimental point of view. The answer matters a great deal to anyone trying to create an environment that fosters cooperation, from corporate managers and government bureaucrats to parents of unruly siblings.
New research into game theory I’ve conducted with Joshua Plotkin offers some answers – but raises a lot of questions of its own too.
Traditionally, research into game theory – the study of strategic decision making – focused either on whether a rational player should cooperate in a one-off interaction or on looking for the “winning solutions” that allow an individual who wants to cooperate make the best decisions across repeated interactions.
Our more recent inquiries aim to understand the subtle dynamics of behavioral change when there are an infinite number of potential strategies (much like life) and the game payoffs are constantly shifting (also much like life).
By investigating this in more detail, we can better learn how to incentivize people to cooperate – whether by setting the allowance we give kids for doing chores, by rewarding teamwork in school and at work or even by how we tax to pay for public benefits such as healthcare and education.
What emerges from our studies is a complex and fascinating picture: the amount of cooperation we see in large groups is in constant flux, and incentives that mean well can inadvertently lead to less rather than more cooperative behavior….(More)”
The Algorithmic Self
Frank Pasquale in The Hedgehog Review:“…For many technology enthusiasts, the answer to the obesity epidemic—and many other problems—lies in computational countermeasures to the wiles of the food scientists. App developers are pioneering behavioristic interventions to make calorie counting and exercise prompts automatic. For example, users of a new gadget, the Pavlok wristband, can program it to give them an electronic shock if they miss exercise targets. But can such stimuli break through the blooming, buzzing distractions of instant gratification on offer in so many rival games and apps? Moreover, is there another way of conceptualizing our relationship to our surroundings than as a suboptimal system of stimulus and response?
Some of our subtlest, most incisive cultural critics have offered alternatives. Rather than acquiesce to our manipulability, they urge us to become more conscious of its sources—be they intrusive advertisements or computers that we (think we) control. For example, Sherry Turkle, founder and director of the MIT Initiative on Technology and Self, sees excessive engagement with gadgets as a substitution of the “machinic” for the human—the “cheap date” of robotized interaction standing in for the more unpredictable but ultimately challenging and rewarding negotiation of friendship, love, and collegiality. In The Glass Cage, Nicholas Carr critiques the replacement of human skill with computer mediation that, while initially liberating, threatens to sap the reserves of ingenuity and creativity that enabled the computation in the first place.
Beyond the psychological, there is a political dimension, too. Legal theorist and Georgetown University law professor Julie Cohen warns of the dangers of “modulation,” which enables advertisers, media executives, political consultants, and intelligence operatives to deploy opaque algorithms to monitor and manipulate behavior. Cultural critic Rob Horning ups the ante on the concerns of Cohen and Turkle with a series of essays dissecting feedback loops among surveillance entities, the capture of important information, and self-readjusting computational interventions designed to channel behavior and thought into ever-narrower channels. Horning also criticizes Carr for failing to emphasize the almost irresistible economic logic behind algorithmic self-making—at first for competitive advantage, then, ultimately, for survival.
To negotiate contemporary algorithms of reputation and search—ranging from resumé optimization on LinkedIn to strategic Facebook status updates to OkCupid profile grooming—we are increasingly called on to adopt an algorithmic self, one well practiced in strategic self-promotion. This algorithmic selfhood may be critical to finding job opportunities (or even maintaining a reliable circle of friends and family) in an era of accelerating social change. But it can also become self-defeating. Consider, for instance, the self-promoter whose status updates on Facebook or LinkedIn gradually tip from informative to annoying. Or the search engine−optimizing website whose tactics become a bit too aggressive, thereby causing it to run afoul of Google’s web spam team and consequently sink into obscurity. The algorithms remain stubbornly opaque amid rapidly changing social norms. A cyber-vertigo results, as we are pressed to promote our algorithmic selves but puzzled over the best way to do so….(More)
How’s the Weather There? Crowdsourcing App Promises Better Forecasts
Rachel Metz at MIT Technology Review: “An app called Sunshine wants you to help it create more accurate, localized weather forecasts.
The app, currently in a private beta test, combines data from the National Oceanic and Atmospheric Administration (NOAA) with atmospheric pressure readings captured by a smartphone. The latest iPhones, and some Android smartphones, include barometers for measuring atmospheric pressure. These sensors are generally used to determine elevation for navigation, but changes in air pressure can also signal changes in the weather.
Sunshine will also rely on users to report sudden weather hazards like fog, cofounder Katerina Stroponiati says. About 250 people spread out among the Bay Area, New York, and Dallas are now using Sunshine, she says, and the team behind it plans to release the app publicly at the end of March for the iPhone. It will be free, though some features may eventually cost extra.
While weather predictions have gotten more accurate over the years, they’re far from perfect. Weather information usually isn’t localized, either. The goal of Sunshine is to better serve places like its home base of San Francisco, where weather can be markedly different over just a few blocks.
Stroponiati aims for Sunshine to get enough people sending in data—three per square mile would be needed, according to experiments the team has conducted—that the app can be used to make weather prediction more accurate than it tends to be today. Some other apps, like PressureNet and WeatherSignal, already gather data entered manually by users, but they don’t yet offer crowdsourced forecasts….(More)”