Confidence in U.S. Institutions Still Below Historical Norms

Curated on Posted on by Stefaan Verhulst

Jeffrey M. Jones at Gallup: “Americans’ confidence in most major U.S. institutions remains below the historical average for each one. Only the military (72%) and small business (67%) — the highest-rated institutions in this year’s poll — are currently rated higher than their historical norms, based on the percentage expressing “a great deal” or “quite a lot” of confidence in the institution.

Confidence in U.S. Institutions, 2015 vs. Historical Average for Each Institution

These results are based on a June 2-7 Gallup poll that included Gallup’s latest update on confidence in U.S. institutions. Gallup first measured confidence ratings in 1973 and has updated them each year since 1993.

Americans’ confidence in most major institutions has been down for many years as the nation has dealt with prolonged wars in Iraq and Afghanistan, a major recession and sluggish economic improvement, and partisan gridlock in Washington. In fact, 2004 was the last year most institutions were at or above their historical average levels of confidence. Perhaps not coincidentally, 2004 was also the last year Americans’ satisfaction with the way things are going in the United States averaged better than 40%. Currently, 28% of Americans are satisfied with the state of the nation.

From a broad perspective, Americans’ confidence in all institutions over the last two years has been the lowest since Gallup began systematic updates of a larger set of institutions in 1993. The average confidence rating of the 14 institutions asked about annually since 1993 — excluding small business, asked annually since 2007 — is 32% this year. This is one percentage point above the all-institution average of 31% last year. Americans were generally more confident in all institutions in the late 1990s and early 2000s as the country enjoyed a strong economy and a rally in support for U.S. institutions after the 9/11 terrorist attacks.

Trend: Average Confidence Rating Across All Institutions, by Year

Confidence in Political, Financial and Religious Institutions Especially Low

Today’s confidence ratings of Congress, organized religion, banks, the Supreme Court and the presidency show the greatest deficits compared with their historical averages, all running at least 10 points below that mark. Americans’ frustration with the government’s performance has eroded the trust they have in all U.S. political institutions….(More)”

In The Information Debate, Openness and Privacy Are The Same Thing

Curated on Posted on by Stefaan Verhulst

 at TechCrunch: “We’ve been framing the debate between openness and privacy the wrong way.

Rather than positioning privacy and openness as opposing forces, the fact is they’re different sides of the same coin – and equally important. This might seem simple, but it might also be the key to moving things forward around this crucial debate.

Open data advocates often suggest that openness should be the default for all human knowledge. We should share, re-use and compare data freely and in doing so reap the benefits of innovation, cost savings and increased citizen participation — to name a just a few gains.

And although it might sound a little utopian, the promise is being realized in many corners of the world….But as we all know, even if we accept all the possible benefits of open data, concerns about privacy, especially personal information, still exist as a counter weight to the open data evangelists. People worry that the path of openness could lead to an Orwellian world where all our information is shared with everyone, permanently.

There is a way to turn the conversation from the face-value clash between openness and privacy to how they can be complementary forces. Gus Hosein, CEO of Privacy International, has explained that privacy is “the governing framework to control access to, collection and usage of information.” Basically, privacy laws enable knowledge and control of data about citizens and their surroundings.

Even if we accept all the possible benefits of open data, concerns about privacy, especially personal information, still exist as a counter weight to the open data evangelists.

This is strikingly similar to the argument that open data increases service delivery efficiency and personalization. Openness and privacy both share the same impulse: I want to be in control of my life, I want to know and choose whether a hospital or school is a good hospital or school and be in control of my choice of services.

Another strong thread in conversations around open data is that transparency should be proportionate to power. This makes sense on one level and seems simple enough: Politicians should be held accountable which means a heightened level of transparency.

But who is ‘powerful’, how do you define ‘power’ and who is in charge of defining this?

Politicians have chosen to run for public office and submit themselves to public scrutiny, but what about the CEO of a listed company, the leader of a charity, the anonymous owner of a Cayman-islands’ registered corporation? In practice, it is very difficult to apply the ‘transparency is proportionate to power’ rule outside democratic politics.

We need to stop making a binary distinction between freedom of information laws and data protection; between open data policies and privacy policies. We need one single policy framework that controls as well as encourages the use ‘open’ data.

The closest we get is with so-called PEPs (politically exposed persons) databases: Individuals who are the close family and kin, and close business associates of politicians. But even that defines power as derivative from political power, and not commercial, social or other forms of power.

 And what about personal data?  Should personal data ever be open?

Omidyar Network asked this question to 200 guests at a convention on openness and privacy last year. The audience was split down the middle: 50% thought personal data could never be open data. 50% thought that it should, and that foregoing the opportunity to release it would block the promise of economic gains, better services and other benefits. Open data experts, including the 1,000 who attended a recent meeting in Ottawa, ultimately disagree on this fundamental issue.

Herein lies the challenge. Many of us, including the general public, are uncomfortable with open personal data, even despite the gains it can bring….(More)”

Putting Open at the Heart of the Digital Age

Curated on Posted on by Stefaan Verhulst

Presentation by Rufus Pollock: “….To repeat then: technology is NOT teleology. The medium is NOT the message – and it’s the message that matters.

The printing press made possible an “open” bible but it was Tyndale who made it open – and it was the openness that mattered.

Digital technology gives us unprecedented potential for creativity, sharing, for freedom. But they are possible not inevitable. Technology alone does not make a choice for us.

Remember that we’ve been here before: the printing press was revolutionary but we still ended up with a print media that was often dominated by the few and the powerful.

Think of radio. If you read about how people talked about it in the 1910s and 1920s, it sounds like the way we used to talk about the Internet today. The radio was going to revolutionize human communications and society. It was going to enable a peer to peer world where everyone can broadcast, it was going to allow new forms of democracy and politics, etc. What happened? We got a one way medium, controlled by the state and a few huge corporations.

Look around you today.

The Internet’s costless transmission can – and is – just as easily creating information empires and information robber barons as it can creating digital democracy and information equality.

We already know that this technology offers unprecedented opportunities for surveillance, for monitoring, for tracking. It can just as easily exploit us as empower us.

We need to put openness at the heart of this information age, and at the heart of the Net, if we are really to realize its possibilities for freedom, empowerment, and connection.

The fight then is on the soul of this information age and we have a choice.

A choice of open versus closed.

Of collaboration versus control.

Of empowerment versus exploitation.

Its a long road ahead – longer perhaps than our lifetimes. But we can walk it together.

In this 21st century knowledge revolution, William Tyndale isn’t one person. It’s all of us, making small and big choices: from getting governments and private companies to release their data, to building open databases and infrastructures together, from choosing apps on your phone that are built on open to using social networks that give you control of your data rather than taking it from you.

Let’s choose openness, let’s choose freedom, let’s choose the infinite possibilities of this digital age by putting openness at its heart….(More)”- See also PowerPoint Presentation

New ODI research shows open data reaching every sector of UK industry

Curated on Posted on by Stefaan Verhulst

ODI: “New research has been published today (1 June) by the Open Data Institute showing that open data is reaching every sector of UK industry.

In various forms, open data is being adopted by a wide variety of businesses – small and large, new and old, from right across the country. The findings from Open data means business: UK innovation across sectors and regions draw on 270 companies with a combined turnover of £92bn and over 500k employees, identified by the ODI as using, producing or investing in open data as part of their business. The project included desk research, surveys and interviews on the companies’ experiences.

Key findings from the research include:

  • Companies using open data come from many sectors; over 46% from outside the information and communication sector. These include finance & insurance, science & technology, business administration & support, arts & entertainment, health, retail, transportation, education and energy.
  • The most popular datasets for companies aregeospatial/mapping data (57%), transport data (43%) and environment data (42%).
  • 39% of companies innovating with open data are over 10 years old, with some more than 25 years old, proving open data isn’t just for new digital startups.
  • ‘Micro-enterprises’ (businesses with fewer than 10 employees) represented 70% of survey respondents, demonstrating athriving open data startup scene. These businesses are using it to create services, products and platforms. 8% of respondents were drawn from large companies of 251 or more employees….
  • The companies surveyed listed 25 different government sources for the data they use. Notably, Ordnance Survey data was cited most frequently, by 14% of the companies. The non-government source most commonly used was OpenStreetMap, an openly licenced map of the world created by volunteers….(More)

The Open Seventeen

Curated on Posted on by Stefaan Verhulst

“Crowdsourcing the Verification of the Sustainable Development Goals with Open Data : In 2015, the United Nations is announcing seventeen Sustainable Development Goals (SDGs) for the world. Success at implementing the SDGs by 2030 could put the planet on the right course for the rest of the century. Failure could result in a breakdown of trust in global initiatives and cynical pursuit of self-interest by nations and corporations.

One way to ensure SDGs are achieved is to establish an independent means for verifying that all stakeholders – governments, corporations, NGOs and international organisations – live up to their promises. This requires harnessing the grassroots efforts of concerned citizens on a global scale.

To ignite this effort, ONE– in collaboration with the Citizen Cyberscience Centre and the Crowdcrafting platform for open research – is launching The Open Seventeen, a challenge to develop crowdsourcing projects that tackle SDGs using open data.

How does this challenge work?

You’ll find a big blue button further down this page. Use this to pitch a crowdsourcing project that tackles any of the 17 SDGs, at either a local, regional or global level, and tell us what open data set could be analysed for this purpose.

To inspire you, we’ve provided below some >examples of crowdsourcing projects that have already been tackling different aspects of the SDGs, from deforestation to corruption, and from drought to disease. Projects proposed for the challenge should have clear and realistic goals, and build on existing open data sets.

ONE and its partners will select three proposals and create crowdsourcing projects based on these. The winners and their projects will be profiled by ONE in upcoming international events related to the launch of the SDGs. Your project could inspire the world….

What can you do with open data to help verify SDGs? Have a look at what citizens have already created using the open source technology PyBossa that powers the Crowdcrafting platform and other crowdsourcing projects….(More)”

Montreal plans to become a Smart City with free WiFi and open data

Curated on Posted on by Stefaan Verhulst

Ian Hardy at MobileSyrup: “Earlier this month, the Coderre Administration announced the Montreal Action Plan that includes 70 projects that will turn Montreal into a “smart city.”

The total allocated budget of $23 million is broken down into 6 sections — listed below with the official description — and is targeted for completion by the end of 2017. Apart from ensuring a fast fiber network, “unleashing municipal data,” and the rollout of “intelligent transport systems” that will bring your real-time info on your subway/bus/car service, the city plans to deploy free WiFi.

According to the statement, Montreal will be deploying wireless access points in 750 locations to have facilitate free public WiFi. The larger idea is to “enhance the experience of citizens, boost tourism and accelerate economic development of Montreal.”…

1. Wi-Fi public: Deploy APs to extend coverage in the area, creating a harmonized experience and provide uniform performance across the network to enhance the experience of citizens, boost tourism and accelerate the economic development of Montreal.

2. Very high speed network, multiservice: Adopt a telecommunications policy, create one-stop telecommunications and urban integrate the telecommunications component in the charter of all major urban projects, so that all players in the Montreal community have access a fiber network at high speed and multi-service, that meets their current and future needs.

3. Economic Niche smart city: Create an environment facilitating the emergence of companies in the smart city economic niche, multiply the sources of innovation for solving urban problems and simplify doing business with the City, so that Montreal becoming a leader in innovation as smart city and accelerate economic development.

4. Intelligent Mobility: Make available all data on mobility in real time, implement intelligent transport systems, intermodal and integrated deployment and support solutions designed to inform users to optimize mobility users in real time on the entire territory.

5. Participatory democracy: Unleashing municipal data, information management and governance and adapt the means of citizen participation to make them accessible online, to improve access to the democratic process and consolidate the culture of transparency and accountability.

6. Digital Public Services: Making a maximum of services available on a multitude of digital channels, involve citizens in the development of services and create opportunities for all, to become familiar with their use, to provide access to municipal services 24/7, across multiple platforms….(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.

Technology and the Resilience of Metropolitan Regions

Curated on Posted on by Stefaan Verhulst

Book edited by Michael A. Pagano: “Can today’s city govern well if its citizens lack modern technology? How important is access to computers for lowering unemployment? What infrastructure does a city have to build in order to attract new business? Michael A. Pagano curates engagement with such questions by public intellectuals, academics, policy analysts, and citizens. Each essay explores the impact and opportunities technology provides in government and citizenship, health care, workforce development, service delivery to citizens, and metropolitan growth. As the authors show, rapidly emerging technologies and access to such technologies shape the ways people and institutions interact in the public sphere and private marketplace. The direction of metropolitan growth and development, in turn, depends on access to appropriate technology scaled and informed by the individual, household, and community needs of the region.

An in-depth and perceptive collection, Technology and the Resilience of Metropolitan Regions confronts the increasing challenges faced by metropolitan regions not only in governing, but in ensuring a sustainable and acceptable quality of life for their citizens.

Contributors are Randy Blankenhorn, Bénédicte Callan, Jane E. Fountain, Chen-Yu Kao, Sandee Kastrul, Karen Mossberger, Daniel X. O’Neil, Michelle Stohlmeyer Russell, Kuang-Ting Tai, Alfred Tatum, Stephanie Truchan, Darrell M. West, and Howard Wial….(More)”

Privacy in the Modern Age: The Search for Solutions

Curated on Posted on by Stefaan Verhulst

New book edited by Marc Rotenberg, Julia Horwitz, and Jeramie Scott: “The threats to privacy are well known: the National Security Agency tracks our phone calls, Google records where we go online and how we set our thermostats, Facebook changes our privacy settings when it wishes, Target gets hacked and loses control of our credit card information, our medical records are available for sale to strangers, our children are fingerprinted and their every test score saved for posterity, and small robots patrol our schoolyards while drones may soon fill our skies.

The contributors to this anthology don’t simply describe these problems or warn about the loss of privacy- they propose solutions. They look closely at business practices, public policy, and technology design and ask, “Should this continue? Is there a better approach?” They take seriously the dictum of Thomas Edison: “What one creates with his hand, he should control with his head.” It’s a new approach to the privacy debate, one that assumes privacy is worth protecting, that there are solutions to be found, and that the future is not yet known. This volume will be an essential reference for policy makers and researchers, journalists and scholars, and others looking for answers to one of the biggest challenges of our modern day. The premise is clear: there’s a problem- let’s find a solution….(More)”

The Quiet Power of Indicators: Measuring Governance, Corruption, and Rule of Law

Curated on Posted on by Stefaan Verhulst

New book edited by Sally Engle Merry, Kevin Davis, and Benedict Kingsbury: “Using a power-knowledge framework, this volume critically investigates how major global indicators of legal governance are produced, disseminated and used, and to what effect. Original case studies include Freedom House’s Freedom in the World indicator, the Global Reporting Initiative’s structure for measuring and reporting on corporate social responsibility, the World Justice Project’s measurement of the rule of law, the World Bank’s Doing Business index, the World Bank-supported Worldwide Governance Indicators, the World Bank’s Country Performance Institutional Assessment (CPIA), and the Transparency International Corruption (Perceptions) index. Also examined is the use of performance indicators by the European Union for accession countries and by the US Millennium Challenge Corporation in allocating US aid funds…(More)”