Open governance systems: Doing more with more

Curated on Posted on by Stefaan Verhulst

Paper by Jeremy Millard in Government Information Quarterly: “This paper tackles many of the important issues and discussions taking place in Europe and globally about the future of the public sector and how it can use Information and Communication Technology (ICT) to respond innovatively and effectively to some of the acute societal challenges arising from the financial crisis as well as other deeper rooted global problems. These include inequality, poverty, corruption and migration, as well as climate change, loss of habitat and the ageing society. A conceptual framework for open governance systems enabled by ICT is proposed, drawing on evidence and examples from around the world as well as a critical appraisal of both academic and grey literature. The framework constructs a system of open assets, open services and open engagement, and this is used to move the e-government debate forward from a preoccupation with lean and small governments which ‘do more with less’ to examine the potential for open governance systems to also ‘do more with more’. This is achieved by enabling an open government and open public sector, as part of this open governance system, to ‘do more by leveraging more’ of the existing assets and resources across the whole of society, and not just within the public sector, many of which are unrealised and untapped, so in effect are ‘wasted’. The paper argues that efficiencies and productivity improvements are essential at all levels and across all actors, as is maximising both public and private value, but that they must also be seen at the societal level where trade-offs and interactions are required, and not only at the individual actor level….(More)”

Selected Readings on Data Governance

Curated on Posted on by Jos Berens

Jos Berens (Centre for Innovation, Leiden University) and Stefaan G. Verhulst (GovLab)

The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of data governance was originally published in 2015.

Context
The field of Data Collaboratives is premised on the idea that sharing and opening-up private sector datasets has great – and yet untapped – potential for promoting social good. At the same time, the potential of data collaboratives depends on the level of societal trust in the exchange, analysis and use of the data exchanged. Strong data governance frameworks are essential to ensure responsible data use. Without such governance regimes, the emergent data ecosystem will be hampered and the (perceived) risks will dominate the (perceived) benefits. Further, without adopting a human-centered approach to the design of data governance frameworks, including iterative prototyping and careful consideration of the experience, the responses may fail to be flexible and targeted to real needs.

Selected Readings List (in alphabetical order)

Annotated Selected Readings List (in alphabetical order)

Better Place Lab, “Privacy, Transparency and Trust.” Mozilla, 2015. Available from: http://www.betterplace-lab.org/privacy-report.

  • This report looks specifically at the risks involved in the social sector having access to datasets, and the main risks development organizations should focus on to develop a responsible data use practice.
  • Focusing on five specific countries (Brazil, China, Germany, India and Indonesia), the report displays specific country profiles, followed by a comparative analysis centering around the topics of privacy, transparency, online behavior and trust.
  • Some of the key findings mentioned are:
    • A general concern on the importance of privacy, with cultural differences influencing conception of what privacy is.
    • Cultural differences determining how transparency is perceived, and how much value is attached to achieving it.
    • To build trust, individuals need to feel a personal connection or get a personal recommendation – it is hard to build trust regarding automated processes.

Montjoye, Yves Alexandre de; Kendall, Jake and; Kerry, Cameron F. “Enabling Humanitarian Use of Mobile Phone Data.” The Brookings Institution, 2015. Available from: http://www.brookings.edu/research/papers/2014/11/12-enabling-humanitarian-use-mobile-phone-data.

  • Focussing in particular on mobile phone data, this paper explores ways of mitigating privacy harms involved in using call detail records for social good.
  • Key takeaways are the following recommendations for using data for social good:
    • Engaging companies, NGOs, researchers, privacy experts, and governments to agree on a set of best practices for new privacy-conscientious metadata sharing models.
    • Accepting that no framework for maximizing data for the public good will offer perfect protection for privacy, but there must be a balanced application of privacy concerns against the potential for social good.
    • Establishing systems and processes for recognizing trusted third-parties and systems to manage datasets, enable detailed audits, and control the use of data so as to combat the potential for data abuse and re-identification of anonymous data.
    • Simplifying the process among developing governments in regards to the collection and use of mobile phone metadata data for research and public good purposes.

Centre for Democracy and Technology, “Health Big Data in the Commercial Context.” Centre for Democracy and Technology, 2015. Available from: https://cdt.org/insight/health-big-data-in-the-commercial-context/.

  • Focusing particularly on the privacy issues related to using data generated by individuals, this paper explores the overlap in privacy questions this field has with other data uses.
  • The authors note that although the Health Insurance Portability and Accountability Act (HIPAA) has proven a successful approach in ensuring accountability for health data, most of these standards do not apply to developers of the new technologies used to collect these new data sets.
  • For non-HIPAA covered, customer facing technologies, the paper bases an alternative framework for consideration of privacy issues. The framework is based on the Fair Information Practice Principles, and three rounds of stakeholder consultations.

Center for Information Policy Leadership, “A Risk-based Approach to Privacy: Improving Effectiveness in Practice.” Centre for Information Policy Leadership, Hunton & Williams LLP, 2015. Available from: https://www.informationpolicycentre.com/uploads/5/7/1/0/57104281/white_paper_1-a_risk_based_approach_to_privacy_improving_effectiveness_in_practice.pdf.

  • This white paper is part of a project aiming to explain what is often referred to as a new, risk-based approach to privacy, and the development of a privacy risk framework and methodology.
  • With the pace of technological progress often outstripping the capabilities of privacy officers to keep up, this method aims to offer the ability to approach privacy matters in a structured way, assessing privacy implications from the perspective of possible negative impact on individuals.
  • With the intended outcomes of the project being “materials to help policy-makers and legislators to identify desired outcomes and shape rules for the future which are more effective and less burdensome”, insights from this paper might also feed into the development of innovative governance mechanisms aimed specifically at preventing individual harm.

Centre for Information Policy Leadership, “Data Governance for the Evolving Digital Market Place”, Centre for Information Policy Leadership, Hunton & Williams LLP, 2011. Available from: http://www.huntonfiles.com/files/webupload/CIPL_Centre_Accountability_Data_Governance_Paper_2011.pdf.

  • This paper argues that as a result of the proliferation of large scale data analytics, new models governing data inferred from society will shift responsibility to the side of organizations deriving and creating value from that data.
  • It is noted that, with the reality of the challenge corporations face of enabling agile and innovative data use “In exchange for increased corporate responsibility, accountability [and the governance models it mandates, ed.] allows for more flexible use of data.”
  • Proposed as a means to shift responsibility to the side of data-users, the accountability principle has been researched by a worldwide group of policymakers. Tailing the history of the accountability principle, the paper argues that it “(…) requires that companies implement programs that foster compliance with data protection principles, and be able to describe how those programs provide the required protections for individuals.”
  • The following essential elements of accountability are listed:
    • Organisation commitment to accountability and adoption of internal policies consistent with external criteria
    • Mechanisms to put privacy policies into effect, including tools, training and education
    • Systems for internal, ongoing oversight and assurance reviews and external verification
    • Transparency and mechanisms for individual participation
    • Means of remediation and external enforcement

Crawford, Kate; Schulz, Jason. “Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harm.” NYU School of Law, 2014. Available from: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2325784&download=yes.

  • Considering the privacy implications of large-scale analysis of numerous data sources, this paper proposes the implementation of a ‘procedural data due process’ mechanism to arm data subjects against potential privacy intrusions.
  • The authors acknowledge that some privacy protection structures already know similar mechanisms. However, due to the “inherent analytical assumptions and methodological biases” of big data systems, the authors argue for a more rigorous framework.

Letouze, Emmanuel, and; Vinck, Patrick. “The Ethics and Politics of Call Data Analytics”, DataPop Alliance, 2015. Available from: http://static1.squarespace.com/static/531a2b4be4b009ca7e474c05/t/54b97f82e4b0ff9569874fe9/1421442946517/WhitePaperCDRsEthicFrameworkDec10-2014Draft-2.pdf.

  • Focusing on the use of Call Detail Records (CDRs) for social good in development contexts, this whitepaper explores both the potential of these datasets – in part by detailing recent successful efforts in the space – and political and ethical constraints to their use.
  • Drawing from the Menlo Report Ethical Principles Guiding ICT Research, the paper explores how these principles might be unpacked to inform an ethics framework for the analysis of CDRs.

Data for Development External Ethics Panel, “Report of the External Ethics Review Panel.” Orange, 2015. Available from: http://www.d4d.orange.com/fr/content/download/43823/426571/version/2/file/D4D_Challenge_DEEP_Report_IBE.pdf.

  • This report presents the findings of the external expert panel overseeing the Orange Data for Development Challenge.
  • Several types of issues faced by the panel are described, along with the various ways in which the panel dealt with those issues.

Federal Trade Commission Staff Report, “Mobile Privacy Disclosures: Building Trust Through Transparency.” Federal Trade Commission, 2013. Available from: www.ftc.gov/os/2013/02/130201mobileprivacyreport.pdf.

  • This report looks at ways to address privacy concerns regarding mobile phone data use. Specific advise is provided for the following actors:
    • Platforms, or operating systems providers
    • App developers
    • Advertising networks and other third parties
    • App developer trade associations, along with academics, usability experts and privacy researchers

Mirani, Leo. “How to use mobile phone data for good without invading anyone’s privacy.” Quartz, 2015. Available from: http://qz.com/398257/how-to-use-mobile-phone-data-for-good-without-invading-anyones-privacy/.

  • This paper considers the privacy implications of using call detail records for social good, and ways to mitigate risks of privacy intrusion.
  • Taking example of the Orange D4D challenge and the anonymization strategy that was employed there, the paper describes how classic ‘anonymization’ is often not enough. The paper then lists further measures that can be taken to ensure adequate privacy protection.

Bernholz, Lucy. “Several Examples of Digital Ethics and Proposed Practices” Stanford Ethics of Data conference, 2014, Available from: http://www.scribd.com/doc/237527226/Several-Examples-of-Digital-Ethics-and-Proposed-Practices.

  • This list of readings prepared for Stanford’s Ethics of Data conference lists some of the leading available literature regarding ethical data use.

Abrams, Martin. “A Unified Ethical Frame for Big Data Analysis.” The Information Accountability Foundation, 2014. Available from: http://www.privacyconference2014.org/media/17388/Plenary5-Martin-Abrams-Ethics-Fundamental-Rights-and-BigData.pdf.

  • Going beyond privacy, this paper discusses the following elements as central to developing a broad framework for data analysis:
    • Beneficial
    • Progressive
    • Sustainable
    • Respectful
    • Fair

Lane, Julia; Stodden, Victoria; Bender, Stefan, and; Nissenbaum, Helen, “Privacy, Big Data and the Public Good”, Cambridge University Press, 2014. Available from: http://www.dataprivacybook.org.

  • This book treats the privacy issues surrounding the use of big data for promoting the public good.
  • The questions being asked include the following:
    • What are the ethical and legal requirements for scientists and government officials seeking to serve the public good without harming individual citizens?
    • What are the rules of engagement?
    • What are the best ways to provide access while protecting confidentiality?
    • Are there reasonable mechanisms to compensate citizens for privacy loss?

Richards, Neil M, and; King, Jonathan H. “Big Data Ethics”. Wake Forest Law Review, 2014. Available from: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2384174.

  • This paper describes the growing impact of big data analytics on society, and argues that because of this impact, a set of ethical principles to guide data use is called for.
  • The four proposed themes are: privacy, confidentiality, transparency and identity.
  • Finally, the paper discusses how big data can be integrated into society, going into multiple facets of this integration, including the law, roles of institutions and ethical principles.

OECD, “OECD Guidelines on the Protection of Privacy and Transborder Flows of Personal Data”. Available from: http://www.oecd.org/sti/ieconomy/oecdguidelinesontheprotectionofprivacyandtransborderflowsofpersonaldata.htm.

  • A globally used set of principles to inform thought about handling personal data, the OECD privacy guidelines serve as one the leading standards for informing privacy policies and data governance structures.
  • The basic principles of national application are the following:
    • Collection Limitation Principle
    • Data Quality Principle
    • Purpose Specification Principle
    • Use Limitation Principle
    • Security Safeguards Principle
    • Openness Principle
    • Individual Participation Principle
    • Accountability Principle

The White House Big Data and Privacy Working Group, “Big Data: Seizing Opportunities, Preserving Values”, White House, 2015. Available from: https://www.whitehouse.gov/sites/default/files/docs/big_data_privacy_report_5.1.14_final_print.pdf.

  • Documenting the findings of the White House big data and privacy working group, this report lists i.a. the following key recommendations regarding data governance:
    • Bringing greater transparency to the data services industry
    • Stimulating international conversation on big data, with multiple stakeholders
    • With regard to educational data: ensuring data is used for the purpose it is collected for
    • Paying attention to the potential for big data to facilitate discrimination, and expanding technical understanding to stop discrimination

William Hoffman, “Pathways for Progress” World Economic Forum, 2015. Available from: http://www3.weforum.org/docs/WEFUSA_DataDrivenDevelopment_Report2015.pdf.

  • This paper treats i.a. the lack of well-defined and balanced governance mechanisms as one of the key obstacles preventing particularly corporate sector data from being shared in a controlled space.
  • An approach that balances the benefits against the risks of large scale data usage in a development context, building trust among all stake holders in the data ecosystem, is viewed as key.
  • Furthermore, this whitepaper notes that new governance models are required not just by the growing amount of data and analytical capacity, and more refined methods for analysis. The current “super-structure” of information flows between institutions is also seen as one of the key reasons to develop alternatives to the current – outdated – approaches to data governance.

Crowdsourcing Pedestrian and Cyclist Activity Data

Curated on Posted on by Stefaan Verhulst

Paper by Amy Smith: “This paper considers how crowdsourcing applications and crowdsourced data are currently being applied, as well as potential new uses for active transportation research and planning efforts of various types. The objectives of this white paper are to review crowdsourced bicycle and pedestrian data resources and crowdsourcing tools; discuss potential planning implementations of crowdsourced data for a variety of bicycle and pedestrian project types; and provide examples of how crowdsourcing is currently being used by the planning community. Due to software application turnover, many of the examples provided describe tools that may no longer be in use, have evolved significantly, or have been/will eventually be depreciated with the advance of new technologies. This paper is not intended to be a comprehensive outline of crowdsourcing applications in the transportation planning profession or a dictionary of crowdsourcing system types, but rather a resource for those interested in using crowdsourcing systems in active transportation planning and research. (Full Paper)”

Measuring government impact in a social media world

Curated on Posted on by Stefaan Verhulst

Arthur Mickoleit & Ryan Androsoff at OECD Insights: “There is hardly a government around the world that has not yet felt the impact of social media on how it communicates and engages with citizens. And while the most prominent early adopters in the public sector have tended to be politicians (think of US President Barack Obama’s impressive use of social media during his 2008 campaign), government offices are also increasingly jumping on the bandwagon. Yes, we are talking about those – mostly bricks-and-mortar – institutions that often toil away from the public gaze, managing the public administration in our countries. As the world changes, they too are increasingly engaging in a very public way through social media.
Research from our recent OECD working paper “Social Media Use by Governments” shows that as of November 2014, out of 34 OECD countries, 28 have a Twitter account for the office representing the top executive institution (head of state, head of government, or government as a whole), and 21 have a Facebook account….
 
But what is the impact governments can or should expect from social media? Is it all just vanity and peer pressure? Surely not.
Take the Spanish national police force (e.g. on Twitter, Facebook & YouTube), a great example of using social media to build long-term engagement, trust and a better public service. The thing so many governments yearn for, in this case the Spanish police seem to have managed well.
Or take the Danish “tax daddy” on Twitter – @Skattefar. It started out as the national tax administration’s quest to make it easier for everyone to submit correct tax filings; it is now one of the best examples around of a tax agency gone social.
Government administrations can use social media for internal purposes too. The Government of Canada used public platforms like Twitter and internal platforms like GCpedia and GCconnex to conduct a major employee engagement exercise (Blueprint 2020) to develop a vision for the future of the Canadian federal public service.
And when it comes to raising efficiency in the public sector, read this account of a Dutch research facility’s Director who decided to stop email. Not reduce it, but stop it altogether and replace it with social media.
There are so many other examples that could be cited. But the major question is how can we even begin to appraise the impact of these different initiatives? Because as we’ve known since the 19th century, “if you cannot measure it, you cannot improve it” (quote usually attributed to Lord Kelvin). Some aspects of impact measurement for social media can be borrowed from the private sector with regards to presence, popularity, penetration, and perception. But it’s around purpose that impact measurement agendas will split between the private sector and government. Virtually all companies will want to calculate the return on social media investments based on whether it helps them improve their financial returns. That’s different in the public sector where purpose is rarely defined in commercial terms.
A good impact assessment for social media in the public sector therefore needs to be built around its unique purpose-orientation. This is much more difficult to measure and it will involve a mix of quantitative data (e.g. reach of target audience) and qualitative data (e.g. case studies describing tangible impact). Social Media Use by Governments proposes a framework to start looking at social media measurement in gradual steps – from measuring presence, to popularity, to penetration, to perception, and finally, to purpose-orientation. The aim of this framework is to help governments develop truly relevant metrics and start treating social media activity by governments with the same public management rigour that is applied to other government activities. You can see a table summarising the framework by clicking on the thumbnail below.
This is far from an exact science, but we are beginning the work collaborating with member and partner governments to develop a toolkit that will help decision-makers implement the OECD Recommendation on Digital Government Strategies, including on the issue of social media metrics…(More)”.

New Evidence that Citizen Engagement Increases Tax Revenues

Curated on Posted on by Stefaan Verhulst

Tiago Peixoto at DemocracySpot: “…A new working paper published by Diether Beuermann and Maria Amelina present the results of a randomized experiment in Russia, described in the abstract below:

This paper provides the first experimental evaluation of the participatory budgeting model showing that it increased public participation in the process of public decision making, increased local tax revenues collection, channeled larger fractions of public budgets to services stated as top priorities by citizens, and increased satisfaction levels with public services. These effects, however, were found only when the model was implemented in already-mature administratively and politically decentralized local governments. The findings highlight the importance of initial conditions with respect to the decentralization context for the success of participatory governance.

In my opinion, this paper is important for a number of reasons, some of which are worth highlighting here. First, it adds substantive support to the evidence on the positive relationship between citizen engagement and tax revenues. Second, in contrast to studies suggesting that participatory innovations are most likely to work when they are “organic”, or “bottom-up”, this paper shows how external actors can induce the implementation of successful participatory experiences. Third, I could not help but notice that two commonplace explanations for the success of citizen engagement initiatives, “strong civil society” and “political will”, do not feature in the study as prominent success factors.  Last, but not least, the paper draws attention to how institutional settings matter (i.e. decentralization). Here, the jack-of-all-trades (yet not very useful) “context matters”, could easily be replaced by “institutions matter”….(More). You can read the full paper here [PDF].”

Do Experts or Collective Intelligence Write with More Bias? Evidence from Encyclopædia Britannica and Wikipedia.

Curated on Posted on by Stefaan Verhulst
Working Paper by Shane Greenstein and Feng Zhu.  Which source of information contains greater bias and slant—text written by an expert or that constructed via collective intelligence? Do the costs of acquiring, storing, displaying and revising information shape those differences? We evaluate these questions empirically by examining slanted and biased phrases in content on US political issues from two sources — Encyclopædia Britannica and Wikipedia. Our overall slant measure is less (more) than zero when an article leans towards Democrat (Republican) viewpoints, while bias is the absolute value of the slant. Using a matched sample of pairs of articles from Britannica and Wikipedia, we show that, overall, Wikipedia articles are more slanted towards Democrat than Britannica articles, as well as more biased. Slanted Wikipedia articles tend to become less biased than Britannica articles on the same topic as they become substantially revised, and the bias on a per word basis hardly differs between the sources. These results have implications for the segregation of readers in online sources and the allocation of editorial resources in online sources using collective intelligence…Key concepts include:

  • The costs of producing, storing, and distributing knowledge shape different biases and slants in the collective intelligence (Wikipedia) and the expert-based model (Britannica).
  • Many of the differences between Wikipedia and Britannica arise because Wikipedia faces insignificant storage, production, and distribution costs. This leads to longer articles with greater coverage of more points of view. The number of revisions of Wikipedia articles results in more neutral point of view. In the best cases, it reduces slant and bias to a negligible difference with an expert-based model.
  • As the world moves from reliance on expert-based production of knowledge to collectively-produced intelligence, it is unwise to blindly trust the properties of knowledge produced by the crowd. Their slants and biases are not widely appreciated, nor are the properties of the production model as yet fully understood.”…(More)

Does Real-Time Feedback On Electricity Use Really Change Our Behavior?

Curated on Posted on by Stefaan Verhulst

Jessica Leber at Co.Exist: “Is information power? Or more to the point, does information about our energy usage help us consume less power?
Even though there are a growing number of smart devices and systems on the market designed to give feedback about energy and water usage, in hopes of nudging us to cut back, studies have shown mixed evidence as to whether they actually work in changing long-term behavior.
In September 2010, the developer of a new LEED Gold apartment building in Manhattan approached Columbia University’s Center for Research on Environmental Decisions with the idea of studying whether they could reduce energy use by giving occupants devices that gave them real-time feedback on their electricity demand. They chose the Modlet, a device made by ThinkEco, that monitors energy use at each outlet, appliance by appliance.
The results of the study, published recently as a working paper by the National Bureau of Economic Research, show that getting people to change their behavior is more complicated than it seems….(More).”

People around you control your mind: The latest evidence

Curated on Posted on by Stefaan Verhulst

Jeff Guo in the Washington Post: “…That’s the power of peer pressure.In a recent working paper, Pedro Gardete looked at 65,525 transactions across 1,966 flights and more than 257,000 passengers. He parsed the data into thousands of mini-experiments such as this:

If someone beside you ordered a snack or a film, Gardete was able to see whether later you did, too. In this natural experiment, the person sitting directly in front of you was the control subject. Purchases were made on a touchscreen; that person wouldn’t have been able to see anything. If you bought something, and the person in front of you didn’t, peer pressure may have been the reason.
Because he had reservation data, Gardete could exclude people flying together, and he controlled for all kinds of other factors such as seat choice. This is purely the effect of a stranger’s choice — not just that, but a stranger whom you might be resenting because he is sitting next to you, and this is a plane.
By adding up thousands of these little experiments, Gardete, an assistant professor of marketing at Stanford, came up with an estimate. On average, people bought stuff 15 to 16 percent of the time. But if you saw someone next to you order something, your chances of buying something, too, jumped by 30 percent, or about four percentage points…
The beauty of this paper is that it looks at social influences in a controlled situation. (What’s more of a trap than an airplane seat?) These natural experiments are hard to come by.
Economists and social scientists have long wondered about the power of peer pressure, but it’s one of the trickiest research problems….(More)”.

Selected Readings on Cities and Civic Technology

Curated on Posted on by Julia Root

By Julia Root and Stefaan Verhulst

The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of civic innovation was originally published in 2014.

The last five years have seen a wave of new organizations, entrepreneurs and investment in cities and the field of civic innovation.  Two subfields, Civic Tech and Government Innovation, are particularly aligned with GovLab’s interest in the ways in which technology is and can be deployed to redesign public institutions and re-imagine governance.

The emerging field of civic technology, or “Civic Tech,” champions new digital platforms, open data and collaboration tools for transforming government service delivery and engagement with citizens. Government Innovation, while not a new field, has seen in the last five years a proliferation of new structures (e.g. Mayor’s Office of New Urban Mechanics), roles (e.g. Chief Technology/Innovation Officer) and public/private investment (e.g. Innovation Delivery Teams and Code for America Fellows) that are building a world-wide movement for transforming how government thinks about and designs services for its citizens.

There is no set definition for “civic innovation.” However, broadly speaking, it is about improving our cities through the implementation of tools, ideas and engagement methods that strengthen the relationship between government and citizens. The civic innovation field encompasses diverse actors from across the public, private and nonprofit spectrums. These can include government leaders, nonprofit and foundation professionals, urbanists, technologists, researchers, business leaders and community organizers, each of whom may use the term in a different way, but ultimately are seeking to disrupt how cities and public institutions solve problems and invest in solutions.

Selected Reading List (in alphabetical order)

Annotated Selected Readings (in alphabetical order)

Books

Goldsmith, Stephen, and Susan Crawford. The Responsive City: Engaging Communities Through Data-Smart Governance. 1 edition. San Francisco, CA: Jossey-Bass, 2014. http://bit.ly/1zvKOL0.

  • The Responsive City, a guide to civic engagement and governance in the digital age, is the culmination of research originating from the Data-Smart City Solutions initiative, an ongoing project at Harvard Kennedy School working to catalyze adoption of data projects on the city level.
  • The “data smart city” is one that is responsive to citizens, engages them in problem solving and finds new innovative solutions for dismantling entrenched bureaucracy.
  • The authors document case studies from New York City, Boston and Chicago to explore the following topics:
    • Building trust in the public sector and fostering a sustained, collective voice among communities;
    • Using data-smart governance to preempt and predict problems while improving quality of life;
    • Creating efficiencies and saving taxpayer money with digital tools; and
    • Spearheading these new approaches to government with innovative leadership.

Townsend, Anthony M. Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia. 1 edition. New York: W. W. Norton & Company, 2013. http://bit.ly/17Y4G0R.

  • In this book, Townsend illustrates how “cities worldwide are deploying technology to address both the timeless challenges of government and the mounting problems posed by human settlements of previously unimaginable size and complexity.”
  • He also considers “the motivations, aspirations, and shortcomings” of the many stakeholders involved in the development of smart cities, and poses a new civics to guide these efforts.
  • He argues that smart cities are not made smart by various, soon-to-be-obsolete technologies built into its infrastructure; instead, it is how citizens are using ever-changing and grassroots technologies to be “human-centered, inclusive and resilient” that will make cities ‘smart.’

Reports + Journal Articles

Black, Alissa, and Rachel Burstein. “The 2050 City – What Civic Innovation Looks Like Today and Tomorrow.” White Paper. New America Foundation – California Civic Innovation Project, June 2013. https://bit.ly/2GohMvw.

  • Through their interviews, the authors determine that civic innovation is not just a “compilation of projects” but that it can inspire institutional structural change.
  • Civic innovation projects that have a “technology focus can sound very different than process-related innovations”; however the outcomes are actually quite similar as they disrupt how citizens and government engage with one another.
  • Technology is viewed by some of the experts as an enabler of civic innovation – not necessarily the driver for innovation itself. What constitutes innovation is how new tools are implemented by government or by civic groups that changes the governing dynamic.

Patel, Mayur, Jon Sotsky, Sean Gourley, and Daniel Houghton. “Knight Foundation Report on Civic Technology.” Presentation. Knight Foundation, December 2013. http://slidesha.re/11UYgO0.

  • This reports aims to advance the field of civic technology, which compared to the tech industry as a whole is relatively young. It maps the field, creating a starting place for understanding activity and investment in the sector.
  • It defines two themes, Open Government and Civic Action, and identifies 11 clusters of civic tech innovation that fall into the two themes. For each cluster, the authors describe the type of activities and highlights specific organizations.
  • The report identified more than $430 million of private and philanthropic investment directed to 102 civic tech organizations from January 2011 to May 2013.

Open Plans. “Field Scan on Civic Technology.” Living Cities, November 2012. http://bit.ly/1HGjGih.

  • Commissioned by Living Cities and authored by Open Plans, the Field Scan investigates the emergent field of civic technology and generates the first analysis of the potential impact for the field as well as a critique for how tools and new methods need to be more inclusive of low-income communities in their use and implementation.
  • Respondents generally agreed that the tools developed and in use in cities so far are demonstrations of the potential power of civic tech, but that these tools don’t yet go far enough.
  • Civic tech tools have the potential to improve the lives of low-income people in a number of ways. However, these tools often fail to reach the population they are intended to benefit. To better understand this challenge, civic tech for low-income people must be considered in the broader context of their interactions with technology and with government.
  • Although hackathons are popular, their approach to problem solving is not always driven by community needs, and hackathons often do not produce useful material for governments or citizens in need.

Goldberg, Jeremy M. “Riding the Second Wave of Civic Innovation.” Governing, August 28, 2014. http://bit.ly/1vOKnhJ.

  • In this piece, Goldberg argues that innovation and entrepreneurship in local government increasingly require mobilizing talent from many sectors and skill sets.

Black, Alissa, and Burstein, Rachel. “A Guide for Making Innovation Offices Work.” IBM Center for the Business of Government, October 2014. http://bit.ly/1vOFZP4.

  • In this report, Burstein and Black examine the recent trend toward the creation of innovation offices across the nation at all levels of government to understand the structural models now being used to stimulate innovation—both internally within an agency, and externally for the agency’s partners and communities.
  • The authors conducted interviews with leadership of innovation offices of cities that include Philadelphia, Austin, Kansas City, Chicago, Davis, Memphis and Los Angeles.
  • The report cites examples of offices, generates a typology for the field, links to projects and highlights success factors.

Mulholland, Jessica, and Noelle Knell. “Chief Innovation Officers in State and Local Government (Interactive Map).” Government Technology, March 28, 2014. http://bit.ly/1ycArvX.

  • This article provides an overview of how different cities structure their Chief Innovation Officer positions and provides links to offices, projects and additional editorial content.
  • Some innovation officers find their duties merged with traditional CIO responsibilities, as is the case in Chicago, Philadelphia and New York City. Others, like those in Louisville and Nashville, have titles that reveal a link to their jurisdiction’s economic development endeavors.

Toolkits

Bloomberg Philanthropies. January 2014. “Transform Your City through Innovation: The Innovation Delivery Model for Making It Happen.” New York: Bloomberg Philanthropies. http://bloombg.org/120VrKB.

  • In 2011, Bloomberg Philanthropies funded a three-year innovation capacity program in five major United States cities— Atlanta, Chicago, Louisville, Memphis, and New Orleans – in which cities could hire top-level staff to develop and see through the implementation of solutions to top mayoral priorities such as customer service, murder, homelessness, and economic development, using a sequence of steps.
  • The Innovation Delivery Team Playbook describes the Innovation Delivery Model and describes each aspect of the model from how to hire and structure the team, to how to manage roundtables and run competitions.

Participatory sensing: enabling interactive local governance through citizen engagement

Curated on Posted on by Stefaan Verhulst

New White Paper by the Institute for a Broadband-Enabled Society (Australia): “Local government (such as the City of Melbourne) is accountable and responsible for establishment, execution and oversight of strategic objectives and resource management in the metropolis. Faced with a rising population, Council has in place a number of strategic plans to ensure it is able to deliver services that maintain (and ideally improve) the quality of life for its citizens (including residents, workers and visitors). This publication explores participatory sensing (PS) and issues associated with governance in the light of new information gathering capabilities that directly engage citizens in collecting data and providing contextual insight that has the potential to greatly enhance Council operations in managing these environments. Download: Participatory Sensing: Enabling interactive local governance through citizen engagement (pdf: 2.3mb)“