Measuring ‘governance’ to improve lives


Robert Rotberg at the Conversation: “…Citizens everywhere desire “good governance” – to be governed well within their nation-states, their provinces, their states and their cities.

Governance is more useful than “democracy” if we wish to understand how different political rulers and ruling elites satisfy the aspirations of their citizens.

But to make the notion of “governance” useful, we need both a practical definition and a method of measuring the gradations between good and bad governance.

What’s more, if we can measure well, we can diagnose weak areas of governance and, hence, seek ways to make the weak actors strong.

Governance, defined as “the performance of governments and the delivery of services by governments,” tells us if and when governments are in fact meeting the expectations of their constituents and providing for them effectively and responsibly.

Democracy outcomes, by contrast, are much harder to measure because the meaning of the very word itself is contested and impossible to measure accurately.

For the purposes of making policy decisions, if we seek to learn how citizens are faring under regime X or regime Y, we need to compare governance (not democracy) in those respective places.

In other words, governance is a construct that enables us to discern exactly whether citizens are progressing in meeting life’s goals.

Measuring governance: five bundles and 57 subcategories

Are citizens of a given country better off economically, socially and politically than they were in an earlier decade? Are their various human causes, such as being secure or being free, advancing? Are their governments treating them well, and attempting to respond to their various needs and aspirations and relieving them of anxiety?

Just comparing national gross domestic products (GDPs), life expectancies or literacy rates provides helpful distinguishing data, but governance data are more comprehensive, more telling and much more useful.

Assessing governance tells us far more about life in different developing societies than we would learn by weighing the varieties of democracy or “human development” in such places.

Government’s performance, in turn, is according to the scheme advanced in my book On Governance and in my Index of African Governance, the delivery to citizens of five bundles (divided into 57 underlying subcategories) of political goods that citizens within any kind of political jurisdiction demand.

The five major bundles are Security and Safety, Rule of Law and Transparency, Political Participation and Respect for Human Rights, Sustainable Economic Opportunity, and Human Development (education and health)….(More)”

Remote Voting and Beyond: How Tech Will Transform Government From the Inside Out


Springwise: “…Technology, and in particular the internet, are often seen as potential stumbling blocks for government. But this perception acts as a brake on innovation in public services and in politics more generally. By embracing technology, rather than warily containing it, governments globally could benefit hugely. In terms of formulating and executing policy, technology can help governments become more transparent, accountable and effective, while improving engagement and participation from regular citizens.

On engagement, for instance, technology is opening up new avenues which make taking part in the political process far more straightforward. Springwise-featured Harvard startup Voatz are building a platform that allows users to vote, make campaign donations and complete opinion polls from their smartphones. The app, which uses biometric authentication to ensure that identities are comprehensively verified, could well entice younger voters who are alienated by the ballot box. Melding the simplicity of apps with sophisticated identity verification technology, Voatz is just one example of how tech can disrupt government for good.

From the Ground Up…

The potential for active participation goes far beyond voting. E-focus groups, online petitions and campaign groups have the power to transform the interaction between political establishments and citizens. From fact-checking charities enabled by crowdfunding such as UK-based Full Fact to massive national campaigns conducted online, citizens connected by technology are using their collective power to reshape government in democratic countries. Under other regimes, such as in the People’s Republic of China, vigilante citizens are circumventing extensive firewalls to shine a light on official misconduct.

…and the Top Down

As well as an abundance of citizen-led efforts to improve governance, there are significant moves from governments themselves to shake-up public service delivery. Even HealthCare.gov, flawed though the roll-out was, marks a hugely ambitious piece of government reform underpinned by technology. Indeed, Obama has shown an unprecedented willingness to embrace technology in his two terms, appointing chief information and technology officers, promising to open up government data and launching the @POTUS Twitter account last month. Clearly, recognition is there from governments that technology can be a game changer for their headline policies.

While many countries are using technology for individual projects, there is one government that is banking its entire national success on tech – Estonia. The tiny, sparsely populated country in Eastern Europe is one of the most technologically advanced in the world. Everything from citizen IDs to tax returns and health records make use of technology and are efficient and ‘future-proofed’ as a result.

Whether as a threat or an opportunity, technology represents a transformative influence on government. Its potential as a disruptive, reshaping force has fed a narrative that casts technology as a looming threat and a destabiliser of conventional power structures. But harnessed properly and executed effectively, technology can remold government for the better, improving big public service projects, raising participation and engaging a young population whose default is digital….(More)”

The Diffusion and Evolution of 311 Citizen Service Centers in American Cities from 1996 to 2012


PhD thesis by John Christopher O’Byrne: “This study of the diffusion and evolution of the 311 innovation in the form of citizen service centers and as a technology cluster has been designed to help identify the catalysts for the spread of government-to-citizen (G2C) technology in local government in order to better position future G2C technology for a more rapid rate of adoption. The 311 non-emergency number was first established in 1996 and had spread to 80 local governments across the United States by 2012. This dissertation examines: what factors contributed to the adoption of 311 in American local governments over 100,000 in population; how did the innovation diffuse and evolve over time; and why did some governments’ communications with citizens became more advanced than others? Given the problem of determining causality, a three-part research design was used to examine the topic including a historical narrative, logistic regression model, and case studies from Pittsburgh, Minneapolis and St. Louis. The narrative found that the political forces of the federal government, national organizations, and policy entrepreneurs (Karch, 2007) promoted the 311 innovation to solve different problems and that it evolved beyond its original intent.

The logistic regression model found that there was a statistically significant relationship between 311 adoption and the variables of higher population, violent crime rate, and the mayor-council form of government. The case studies revealed that mayors played a strong role in establishing citizen service centers in all three cities while 311 adopter Pittsburgh and non-adopter St. Louis seemed to have more in common in their G2C evolution due to severe budget constraints. With little written about the 311 innovation in academic journals, practitioners and scholars will benefit from understanding the catalysts for the diffusion and evolution of the 311 in order to determine ways to increase the rate of adoption for future G2C communication innovations….(More)”

Aligning Supply and Demand for Better Governance


Findings regarding Open Data in the Open Government Partnership: “Many have predicted that open government data will lead to major gains in political accountability, generate economic value, and improve the quality of government services. Yet, there is a growing consensus among practitioners and experts that, for open data reforms to have strong governance, economic, and social impacts, reforms must do more than make data available and reusable. Government reforms ultimately must aim to provide data that is useful and used. There may be a high opportunity cost to investing in open data in the place of other useful governance reforms….

This paper identifies strong performances and gaps in aligning open data supply and demand. Findings from action plans and IRM reporting reveal the following trends:

  • OGP countries are making more open data commitments in their national action plans, both in absolute numbers and in percentage. This could be good for open data advocates, but may come at the expense of other open government approaches that may be more effective at countering excessive secrecy and corruption.
  • Open data commitments emphasize government supply of data and government coordination mechanisms over identifying and stimulating public demand for data.
  • Among a smaller group of countries, a growing number of commitments aim to align supply and demand by reforming the regulatory framework and by setting up mechanisms to ensure greater demand, such as participatory prioritization processes in which government solicits public input on which data sets to release. However, typical OGP action plans do not show a distinct move toward establishing or implementing the right to request data.
  • There is some evidence that sector-specific approaches to open data see higher rates of implementation than crosscutting and whole-of-government approaches to open data. Commitments emphasize data on budgets, health, natural resources, and aid…. (More)”

Want better science? Quit hoarding data, genetics researchers say


Nidhi Subbaraman at BetaBoston: “When Andrea Downing was 25, she got screened for the BRCA genes known to be associated with a variety of cancers, including breast cancer. Both her great-grandmother and grandmother had been diagnosed with the disease, so the results were no surprise: Downing carried the BRCA1 mutation in her genes. She learned there was a 87 percent chance she would get breast cancer during her lifetime, and 60 percent chance she would get ovarian cancer.
The revelation brought with it a dizzying range of choices. Should she get a mastectomy before the cancer showed? Should she choose to have her ovaries removed? Could she wait until after she had kids?

For the first several years after her diagnosis, Downing sought out support groups, then began booking appointments with researchers and examining the latest literature. “I’m a little different from your usual patient who tested positive,” Downing said. “I wanted to go beyond to challenge myself and understand the science of cancer.”

Then, in 2013, she chanced on was ClinVar, a research database funded by the National Institute of Health that acts as a kind of Wikipedia to catalogue scientific research on mutations in genes. It gave her a roadmap for the research associated with her variant, called C16G.

Downing typed in the letters and numbers of her mutation, and the website spit out a list of companies and labs that have studied her variant. Though much of that information was technical, she said, “the things I do understand about it are very empowering. It’s a starting point to answering questions I don’t know.”

When the database first launched, the idea was that the single repository would present a unified picture of a variant, drawing from all available research that was publicly shared by companies and research labs.

Two years later, the team behind the operation has published a progress report of sorts in the New England Journal of Medicine. They argue that this shared approach is working — doctors and researchers are using the database — and they are advocating for more companies and groups to join the effort to reach a more comprehensive understanding of the variants in disease genes. In particular, they’re challenging companies to be more open with their data, instead of keeping it to themselves….(More)”

Nudging hits Berlin


Hanno Burmester, Philipp Sälhoff  and Marie Wachinger at Policy Network: “Despite suspicion, the nudge theory may have a place in the process of party reform. Ever since Germany’s Kanzleramt published a job ad in 2014 to recruit three behavioural scientists, “nudging” has become a political buzzword in Berlin. For people outside the Berlin bubble, this may come as a surprise: the British government established its Behavioural Insights Team in 2010 (the less Orwellian nickname is the Nudge Unit). The city of Copenhagen followed soon after and started experimenting with the concept in 2012. Still, nudging seems to have only hit Berlin in recent months, sparking fierce debate among political experts, as well as the German public….

It is not surprising, therefore, that the notions of nudging and libertarian paternalism has quickly found its enemies in the German political debate. Libertarianism here is understood as a radical political ideology which, with the disappearance from federal politics of the centre-right liberal FDP with its partly libertarian agenda, has no representatives at all on the national political stage. Paternalism evokes negative political connotations as well. Moreover, in contrast to the United States, extensive government regulation enjoys widespread public acceptance. At the same time, Germans harbour a deep distrust against opaque and/or seemingly manipulative government actions. The concept of nudging, which explicitly acknowledges that its subjects can be unaware of being consciously influenced, thus feeds into a cultural distrust that, with regards to German and European history, is more than understandable.

Interestingly, however, the political left seems less averse to the idea of stimulating behavioural change through government action. For instance, the German minister of justice and consumer protection, the Social Democrat, Heiko Maas, lauded the approach in an op-ed, saying that it would be wise to acknowledge that citizens do not act rationally all the time. Nudging thus could be a wise compromise “between over-regulation of everyday affairs and laissez-faire politics”.

Nudging is more than a tool for governments, though. We believe it offers advantages in fields that, from an ethical perspective, are less controversial. One of those is the reform of political parties. Since August 2014 we have been  developing new approaches and to party reform in our projectLegitimation and Self-efficacy: Impulses for the Future of Party Democracy. The past decades have shown how hard it is to implement structural reforms in political parties, irrespective of the national context. On the left, for instance, the German Social Democratic party shows a remarkable institutional immunity to change, despite a widespread desire for parties to reflect the demands of rapidly changing societies.

Nudging may provide a tool to identify and analyse current practices of exerting political influence, thereby opening new prospects for changing organisational structures….(More)”

World of Labs


NESTA: “Governments across the world are creating innovation teams and labs to help them find new ways of tackling the complex challenges of the 21st century. If you want to get a sense of the scale of this global trend then check out this searchable global map of innovation labs worldwide.

There are about 80 in total represented here – colour-coded for the level of government (blue for local, green for regional, red national and yellow international). In this map I’ve concentrated on labs inside government excluding the dozens of public and social innovation labs (#psilabs) like Nesta, MaRS Solutions Lab or The GovLab that work alongside the public sector though they themselves are outside it. I’ve probably left lots of government i-teams and labs out of this list – so please suggest more and I’ll add them in.

Public innovation labs can claim to be a global movement not just in sheer numbers of teams and labs worldwide but also because of the momentum behind the creation of new ones, at a current rate of least one a month. Though some of the most celebrated examples e.g. Denmark’s MindLab are well into their second decade about a third of the labs set out here have been born in the last two years.

The early wave of scenario-based creative “future centres” (like the Netherlands-based De Werf)  was soon followed by the kind of design-based lab that continues to dominate much of the thinking and practice in the field.  But lately this has been complemented by a new wave of teams using other tools (data and technology or behavioural economics) as well as the more hybrid approach often adopted by innovation delivery teams at a municipal level, particularly in the US. At a global level the shift to a lab-based approach in development policy has been particularly marked….(More)”

Selected Readings on Data Governance


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.

How to use mobile phone data for good without invading anyone’s privacy


Leo Mirani in Quartz: “In 2014, when the West African Ebola outbreak was at its peak, some academics argued that the epidemic could have been slowed by using mobile phone data.

Their premise was simple: call-data records show the true nature of social networks and human movement. Understanding social networks and how people really move—as seen from phone movements and calls—could give health officials the ability to predict how a disease will move and where a disease will strike next, and prepare accordingly.

The problem is that call-data records are very hard to get a hold of. The files themselves are huge, there are enormous privacy risks, and the process of making the records safe for distribution is long.
First, the technical basics

Every time you make a phone call from your mobile phone to another mobile phone, the network records the following information (note: this is not a complete list):

  • The number from which the call originated
  • The number at which the call terminated
  • Start time of the call
  • Duration of the call
  • The ID number of the phone making the call
  • The ID number of the SIM card used to make the call
  • The code for the antenna used to make the call

On their own, these records are not creepy. Indeed, without them, networks would be unable to connect calls or bill customers. But it is easy to see why operators aren’t rushing to share this information. Even though the data includes none of the actual content of a phone call in the data, simply knowing which number is calling which, and from where and when, is usually more than enough to identify people.
So how can network operators use this valuable data for good while also protecting their own interests and those of their customers? A good example can be found in Africa, where Orange, a French mobile phone network with interests across several African countries, has for the second year run its “Data for Development” (D4D) program, which offers researchers a chance to mine call data for clues on development problems.

Steps to safe sharing

After a successful first year in Ivory Coast, Orange this year ran the D4D program in Senegal. The aim of the program is to give researchers and scientists at universities and other research labs access to data in order to find novel ways to aid development in health, agriculture, transport or urban planning, energy, and national statistics….(More)”

Privacy in the Modern Age: The Search for Solutions


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)”