Training the next generation of public leaders


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

Ebola: Call for more sharing of scientific data


at the BBC: “The devastation left by the Ebola virus in west Africa raises many questions for science, policy and international development. One issue that has yet to receive widespread media attention is the handling of genetic data on the virus. By studying its code, scientists can trace how Ebola leapt across borders, and how, like all viruses, it is constantly evolving and changing.

Yet, researchers have been privately complaining for months about the scarcity of genetic information about the virus that is entering the public domain….

At the heart of the issue is the scientific process. The main way scientists are rewarded for their work is through the quality and number of research papers they publish.
Data is only revealed for scrutiny by the wider scientific community when the research is published, which can be a lengthy process….
Dr Emma Thomson of the MRC-University of Glasgow centre for virus research says all journals publishing papers on Ebola must insist all data is released, as a collaborative approach could save lives.
“At the time of publication is really important – these days most people do it but not always and journals often insist (but not always),” she told me.
“A lot of Ebola sequencing has happened but the data hasn’t always been uploaded.
“It’s an international emergency so people need to get the data out there to allow it to be analysed in different ways by different labs.”
In the old days of the public private race to decode the first human genome, the mood was one of making data accessible to all for the good of science and society.
Genetic science and public attitudes have moved on, but in the case of Ebola, some are saying it may be time for a re think.
As Prof Paul Hunter, Professor of health protection at the University of East Anglia, put it: “It would be tragic if, during a crisis like this, data was not being adequately shared with the public health community.
“The rapid sharing of data could help enable more rapid control of the outbreak.”…(More)”

Innovation Labs: Leveraging Openness for Radical Innovation?


Paper by Gryszkiewicz, Lidia and Lykourentzou, Ioanna and Toivonen, Tuukka: “A growing range of public, private and civic organisations, from Unicef through Nesta to Tesco, now run units known as ‘innovation labs’. The hopeful assumption they share is that labs, by building on openness among other features, can generate promising solutions to grand challenges of the future. Despite their seeming proliferation and popularisation, the underlying innovation paradigm embodied by labs has so far received scant academic attention. This is a missed opportunity, because innovation labs are potentially fruitful vehicles for leveraging openness for radical innovation. Indeed, they not only strive to span organisational, sectoral and geographical boundaries by bringing a variety of uncommon actors together to embrace radical ideas and out-of-the box thinking, but they also aim to apply the concept of openness throughout the innovation process, including the experimentation and development phases. While the phenomenon of labs clearly forms part of a broader trend towards openness, it seems to transcend traditional conceptualisations of open innovation (Chesbrough, 2006), open strategy (Whittington et al., 2011), open science (David, 1998) or open government (Janssen et al., 2012). What are innovation labs about, how do they differ from other innovation efforts and how do they embrace openness to create breakthrough innovations? This short exploratory paper is an introduction to a larger empirical study aiming to answer these questions….(More).”

Surveying the citizen science landscape


Paper by Andrea Wiggins and Kevin Crowston in First Monday: “Citizen science has seen enormous growth in recent years, in part due to the influence of the Internet, and a corresponding growth in interest. However, the few stand-out examples that have received attention from media and researchers are not representative of the diversity of the field as a whole, and therefore may not be the best models for those seeking to study or start a citizen science project. In this work, we present the results of a survey of citizen science project leaders, identifying sub-groups of project types according to a variety of features related to project design and management, including funding sources, goals, participant activities, data quality processes, and social interaction. These combined features highlight the diversity of citizen science, providing an overview of the breadth of the phenomenon and laying a foundation for comparison between citizen science projects and to other online communities….(More).”

U.S. Public Participation Playbook


“The U.S. Public Participation Playbook is a resource for government managers to effectively evaluate and build better services through public participation using best practices and performance metrics.
Public participation—where citizens help shape and implement government programs—is a foundation of open, transparent, and engaging government services. From emergency management, town hall discussions and regulatory development to science and education, better engagement with those who use public services can measurably improve those services for everyone.
Developing a U.S. Public Participation Playbook is an open government priority included in both the first and second U.S. Open Government National Action Plans as part of the United States effort to increase public integrity in government programs. This resource reflects the commitment of the government and civic partners to measurably improve participation programs, and is designed using the same inclusive principles that it champions.
How is the playbook structured?

We needed to create a resource that combines best practices and suggested performance metrics for public servants to use to evaluate and build better services — to meet this need, based on discussions with federal managers and stakeholders, we identified five main categories that should be addressed in all programs, whether digital or offline. Within each category we identified 12 unifying plays to start with, each including a checklist to consider, resources and training. We then provide suggested performance metrics for each main category.
This is only the beginning, however, and we hope the plays will quickly expand and enrich. The U.S. Public Participation Playbook was not just designed for a more open government — it was designed collaboratively through a more open government…(More)”

Cultures of Code


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)”

The Royal Statistical Society Data Manifesto


ePSiplatform: “A Data Manifesto released by the Royal Statistical Society describes ten recommendations that focus on how the next UK government can improve data for policymaking, democracy and for prosperity…..the Society calls for official statistics to be at the heart of policy debate and recommends that the Office for National Statistics and the wider Government Statistical Service be given adequate resources, as well as calling for greater investment in research, science and innovation.
The document shows that the Society is broadly supportive of the open data agenda; in particular the opening up of government data and giving citizens greater access to quality local data.
It calls for greater data sharing between government departments for statistics and research purposes and believes the private sector should be encouraged to share data with researchers for the same purpose. It also calls for an end to pre-release access to official statistics….Download the Data Manifesto in PDF format.”

Digital Enlightenment Yearbook 2014


Book edited O’Hara, K. , Nguyen, M-H.C., Haynes, P.: “Tracking the evolution of digital technology is no easy task; changes happen so fast that keeping pace presents quite a challenge. This is, nevertheless, the aim of the Digital Enlightenment Yearbook.
This book is the third in the series which began in 2012 under the auspices of the Digital Enlightenment Forum. This year, the focus is on the relationship of individuals with their networks, and explores “Social networks and social machines, surveillance and empowerment”. In what is now the well-established tradition of the yearbook, different stakeholders in society and various disciplinary communities (technology, law, philosophy, sociology, economics, policymaking) bring their very different opinions and perspectives to bear on this topic.
The book is divided into four parts: the individual as data manager; the individual, society and the market; big data and open data; and new approaches. These are bookended by a Prologue and an Epilogue, which provide illuminating perspectives on the discussions in between. The division of the book is not definitive; it suggests one narrative, but others are clearly possible.
The 2014 Digital Enlightenment Yearbook gathers together the science, social science, law and politics of the digital environment in order to help us reformulate and address the timely and pressing questions which this new environment raises. We are all of us affected by digital technology, and the subjects covered here are consequently of importance to us all. (Contents)”

Access to Scientific Data in the 21st Century: Rationale and Illustrative Usage Rights Review


Paper by James Campbell  in Data Science Journal: “Making scientific data openly accessible and available for re-use is desirable to encourage validation of research results and/or economic development. Understanding what users may, or may not, do with data in online data repositories is key to maximizing the benefits of scientific data re-use. Many online repositories that allow access to scientific data indicate that data is “open,” yet specific usage conditions reviewed on 40 “open” sites suggest that there is no agreed upon understanding of what “open” means with respect to data. This inconsistency can be an impediment to data re-use by researchers and the public. (More)”

Open Government: Origin, Development, and Conceptual Perspectives


Paper by Bernd W. Wirtz & Steven Birkmeyer in the International Journal of Public Administration: “The term “open government” is frequently used in practice and science. Since President Obama’s Memorandum for the Heads of Executive Departments and Agencies in March 2009, open government has attracted an enormous amount of public attention. It is applied by authors from diverse areas, leading to a very heterogeneous comprehension of the concept. Against this background, this article screens the current open government literature to deduce an integrative definition of open government. Furthermore, this article analyzes the empirical and conceptual literature of open government to deduce an open government framework. In general, this article provides a clear understanding of the open government concept. (More)”