The story of the sixth myth of open data and open government

Curated on Posted on by Stefaan Verhulst

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)”

 

A lot of private-sector data is also used for public good

Curated on Posted on by Stefaan Verhulst

Josh New in Computerworld: “As the private sector continues to invest in data-driven innovation, the capacity for society to benefit from this data collection grows as well. Much has been said about how the private sector is using the data it collects to improve corporate bottom lines, but positive stories about how that data contributes to the greater public good are largely unknown.
This is unfortunate, because data collected by the private sector is being used in a variety of important ways, including to advance medical research, to help students make better academic decisions and to provide government agencies and nonprofits with actionable insights. However, overzealous actions by government to restrict the collection and use of data by the private sector are likely to have a chilling effect on such data-driven innovation.
Companies are working to advance medical research with data sharing. Personal genetics company 23andMe, which offers its customers inexpensive DNA test kits, has obtained consent from three-fourths of its 800,000 customers to donate their genetic information for research purposes. 23andMe has partnered with pharmaceutical companies, such as Genentech and Pfizer, to advance genomics research by providing scientists with the data needed to develop new treatments for diseases like Crohn’s and Parkinson’s. The company has also worked with researchers to leverage its network of customers to recruit patients for clinical trials more effectively than through previous protocols.
Private-sector data is also helping students make more informed decisions about education. With the cost of attending college rising, data that helps make this investment worthwhile is incredibly valuable. The social networking company LinkedIn has built tools that provide prospective college students with valuable information about their potential career path, field of study and choice of school. By analyzing the education tracks and careers of its users, LinkedIn can offer students critical data-driven insights into how to make the best out of the enormous and costly decision to go to college. Through LinkedIn’s higher-education tools, students now have an unprecedented resource to develop data-supported education and career plans….(More)”

Untangling Complexity

Curated on Posted on by Stefaan Verhulst

Essay by Jacqueline Wallace at civicquarterly.com : “The next phase of the digital revolution will be defined by products and services that facilitate shared understanding, allowing concerted participation around complex issues. In working to show the way, civic designers will need to call upon the powers of systems research, design research, social science, and open data….
Creating next-gen civic applications will require designers to embody a systems-based approach to civic participation, marrying systems-based research, user-centered design, social science, and data. This article chronicles my own experience leveraging these tools to facilitate shared understand amongst my community vis. a vis. the Kinder Morgan pipeline….
I believe the contention around the pipeline evinces a bigger problem in our civic sphere: While individual issues such as the Kinder Morgan pipeline continue to absorb a great deal of energy from citizens, user-centered designers must use their unique skillset to address these issues more broadly. Because we’re not only failing our fellow citizens; we’re failing our representatives as well. In the words of digital strategist and civic design advocate Mike Connery: “there has been almost zero investment in giving our representatives the tools they need to understand feedback from citizens.”
The opportunity is two-fold. As previously stated, there is a need to develop tools that support citizens and representatives to understand and engage with complex social issues. There is also a need to develop processes, processes that cultivate our abilities to understand policy development in order to more efficiently spend our tax dollars. Writing about a recent project that used social science methods to analyze the long-term success of a welfare project, NPR correspondent Shankar Vedantam said, “it really makes no sense that marketers selling toys have better data on what works and what doesn’t than policy makers who are spending billions and billions of dollars.”…(More)

Data Driven: Creating a Data Culture

Curated on Posted on by Stefaan Verhulst
New book by Hilary Mason and DJ Patil: “Succeeding with data isn’t just a matter of putting Hadoop in your machine room, or hiring some physicists with crazy math skills. It requires you to develop a data culture that involves people throughout the organization. In this O’Reilly report, DJ Patil and Hilary Mason outline the steps you need to take if your company is to be truly data-driven—including the questions you should ask and the methods you should adopt.
You’ll not only learn examples of how Google, LinkedIn, and Facebook use their data, but also how Walmart, UPS, and other organizations took advantage of this resource long before the advent of Big Data. No matter how you approach it, building a data culture is the key to success in the 21st century.
You’ll explore:

  • Data scientist skills—and why every company needs a Spock
  • How the benefits of giving company-wide access to data outweigh the costs
  • Why data-driven organizations use the scientific method to explore and solve data problems
  • Key questions to help you develop a research-specific process for tackling important issues
  • What to consider when assembling your data team
  • Developing processes to keep your data team (and company) engaged
  • Choosing technologies that are powerful, support teamwork, and easy to use and learn …(More)”

R U There?

Curated on Posted on by Stefaan Verhulst

in the New Yorker on a new counselling service harnesses the power of the text message:” …. a person can contact Crisis Text Line without even looking at her phone. The number—741741—traces a simple, muscle-memory-friendly path down the left column of the keypad. Anyone who texts in receives an automatic response welcoming her to the service. Another provides a link to the organization’s privacy policy and explains that she can text “STOP” to end a conversation at any time. Meanwhile, the incoming message appears on the screen of Crisis Text Line’s proprietary computer system. The interface looks remarkably like a Facebook feed—pale background, blue banner at the top, pop-up messages in the lower right corner—a design that is intended to feel familiar and frictionless. The system, which receives an average of fifteen thousand texts a day, highlights messages containing words that might indicate imminent danger, such as “suicide,” “kill,” and “hopeless.”

Within five minutes, one of the counsellors on duty will write back. (Up to fifty people, most of them in their late twenties, are available at any given time, depending upon demand, and they can work wherever there’s an Internet connection.) An introductory message from a counsellor includes a casual greeting and a question about why the texter is writing in….(More)”

Moovit Crowdsources Public Transit Data, So You'll Never Get Stuck Waiting For The Bus Again

Curated on Posted on by Stefaan Verhulst

Ariel Schwartz at Co.Exist: “There are few things more frustrating than rushing to the bus, only to find out that it’s delayed indefinitely. Or arriving at the subway stop to find hundreds of others waiting for the same delayed train, making your chances of entry onto the next car nearly impossible.
In cities with open data, localized transit apps with real-time transit updates can alleviate the problem, but those apps aren’t available everywhere—and in most cases, they don’t offer up information about service alerts, like bus stops relocated due to construction.
Moovit, an Israeli startup that recently raised $50 million for its app, which takes a lot of the headache out of navigating public transportation. Available in over 500 cities globally, Moovit uses a combination of official transit information and crowdsourced live updates to provide accurate information on a city’s public transportation city at any given moment.
Getting started with the app is fairly intuitive; just put in your starting location and destination and Moovit spits out the best way to get there. It also notifies you when you’re getting close to your stop—a bonus in cities with transportation systems that don’t always make that clear (ahem, San Francisco)….
The vision for Moovit goes beyond public transportation (just look at the company’s investor list, which includes BMW i Ventures). “We want to make this an omni-search for non-car owners, including bike, taxi, and carsharing services,” says Erez. Later this year, Moovit plans to make a number of announcements around integrating multiple means of transportation into the app. (More)“

Big Data and Discriminatory Pricing

Curated on Posted on by Stefaan Verhulst

White House: “In response to the big data and privacy report’s finding that these technologies and tools can enable new forms of discrimination, the White House Council of Economic Advisers conducted a study examining whether and how companies may use big data technologies to offer different prices to different consumers — a practice known as “discriminatory pricing.” The CEA found that many companies already use big data for targeted marketing, and others are experimenting in a limited way with personalized pricing, but this practice is not yet widespread. While the economic literature contends that discriminatory pricing will often, though not always, be welfare-enhancing for businesses and consumers, the CEA concludes that policymakers should be vigilant against the potential for discriminatory outcomes, particularly in cases where prices are not transparent and could give rise to fraud or scams….To read the Council of Economic Advisers report on discriminatory pricing, click here.“

Training the next generation of public leaders

Curated on Posted on by Stefaan Verhulst

Thanks to the generous support of the Knight Foundation, this term the Governance Lab Academy – a training program designed to promote civic engagement and innovation – is launching a series of online coaching programs.
Geared to the teams and individuals inside and outside of government planning to undertake a new project or trying to figure out how to make an existing project even more effective and scalable, these programs are designed to help participants working in civic engagement and innovation develop effective projects from idea to implementation.
Convened by leading experts in their fields, coaching programs meet exclusively online once a week for four weeks or every other week for eight weeks. They include frequent and constructive feedback, customized and original learning materials, peer-to-peer support, mentoring by topic experts and individualized coaching from those with policy, technology, and domain expertise.
There is no charge to participants but each program is limited to 8-10 project teams or individuals.
You can see the current roster of programs below and check out the website for more information (including FAQs), to sign up and to suggest a new program.

Faculty includes: 

  • Brian Behlendorf, Managing Director at Mithril Capital Management and Co-Founder Apache
  • Alexandra Clare, Founder of Iraq Re:Coded
  • Brian Forde, Senior Former Advisor to the U.S. CTO, White House Office of Science Technology and Policy
  • Francois Grey,  Coordinator of the Citizen Cyberscience Centre, Geneva
  • Gavin Hayman, Executive Director of the Open Contracting Partnership
  • Clay Johnson, CEO of The Department for Better Technology and Former Presidential Innovation Fellow
  • Benjamin Kallos, New York City Council Member and Chair of the Committee on Governmental Operations of the New York City Council
  • Karim Lakhani, Lumry Family Associate Professor of Business Administration at the Harvard Business School
  • Amen Ra Mashariki, Chief Analytics Officer of New York City
  • Geoff Mulgan, Chief Executive of NESTA
  • Miriam Nisbet,  Former Director of the Office of Government Information Services
  • Beth Noveck, Founder and CEO of The GovLab
  • Tiago Peixoto, Open Government Specialist at The World Bank
  • Arnaud Sahuguet, Chief Technology Officer of The GovLab
  • Joeri van den Steenhoven, Co-Founder and Chief Research and Development Officer of MaRS Solutions Lab
  • Stefaan Verhulst, Co-Founder and Chief Research and Development Officer of The GovLab

Participation in Public and Social Media Interactions

Curated on Posted on by Stefaan Verhulst
New Book edited by Marta Dynel and Jan Chovanec: “This book deals with participation frameworks in modern social and public media. It brings together several cutting-edge research studies that offer exciting new insights into the nature and formats of interpersonal communication in diverse technology-mediated contexts. Some papers introduce new theoretical extensions to participation formats, while others present case studies in various discourse domains spanning public and private genres. Adopting the perspective of the pragmatics of interaction, these contributions discuss data ranging from public, mass-mediated and quasi-authentic texts, fully staged and scripted textual productions, to authentic, non-scripted private messages and comments, both of a permanent and ephemeral nature. The analyses include news interviews, online sports reporting, sitcoms, comedy shows, stand-up comedies, drama series, institutional and personal blogs, tweets, follow-up YouTube video commentaries, and Facebook status updates. All the authors emphasize the role of context and pay attention to how meaning is constructed by participants in interactions in increasingly complex participation frameworks existing in traditional as well as novel technologically mediated interactions….(Table of Contents)”.

Cultures of Code

Curated on Posted on by Stefaan Verhulst

Brian Hayes in the American Scientist: “Kim studies parallel algorithms, designed for computers with thousands of processors. Chris builds computer simulations of fluids in motion, such as ocean currents. Dana creates software for visualizing geographic data. These three people have much in common. Computing is an essential part of their professional lives; they all spend time writing, testing, and debugging computer programs. They probably rely on many of the same tools, such as software for editing program text. If you were to look over their shoulders as they worked on their code, you might not be able to tell who was who.
Despite the similarities, however, Kim, Chris, and Dana were trained in different disciplines, and they belong to  different intellectual traditions and communities. Kim, the parallel algorithms specialist, is a professor in a university department of computer science. Chris, the fluids modeler, also lives in the academic world, but she is a physicist by training; sometimes she describes herself as a computational scientist (which is not the same thing as a computer scientist). Dana has been programming since junior high school but didn’t study computing in college; at the startup company where he works, his title is software developer.
These factional divisions run deeper than mere specializations. Kim, Chris, and Dana belong to different professional societies, go to different conferences, read different publications; their paths seldom cross. They represent different cultures. The resulting Balkanization of computing seems unwise and unhealthy, a recipe for reinventing wheels and making the same mistake three times over. Calls for unification go back at least 45 years, but the estrangement continues. As a student and admirer of all three fields, I find the standoff deeply frustrating.
Certain areas of computation are going through a period of extraordinary vigor and innovation. Machine learning, data analysis, and programming for the web have all made huge strides. Problems that stumped earlier generations, such as image recognition, finally seem to be yielding to new efforts. The successes have drawn more young people into the field; suddenly, everyone is “learning to code.” I am cheered by (and I cheer for) all these events, but I also want to whisper a question: Will the wave of excitement ever reach other corners of the computing universe?…
What’s the difference between computer science, computational science, and software development?…(More)”