The 2018 Atlas of Sustainable Development Goals: an all-new visual guide to data and development

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World Bank Data Team: “We’re pleased to release the 2018 Atlas of Sustainable Development Goals. With over 180 maps and charts, the new publication shows the progress societies are making towards the 17 SDGs.

It’s filled with annotated data visualizations, which can be reproducibly built from source code and data. You can view the SDG Atlas online, download the PDF publication (30Mb), and access the data and source code behind the figures.

This Atlas would not be possible without the efforts of statisticians and data scientists working in national and international agencies around the world. It is produced in collaboration with the professionals across the World Bank’s data and research groups, and our sectoral global practices.

Trends and analysis for the 17 SDGs

The Atlas draws on World Development Indicators, a database of over 1,400 indicators for more than 220 economies, many going back over 50 years. For example, the chapter on SDG4 includes data from the UNESCO Institute for Statistics on education and its impact around the world.

Throughout the Atlas, data are presented by country, region and income group and often disaggregated by sex, wealth and geography.

The Atlas also explores new data from scientists and researchers where standards for measuring SDG targets are still being developed. For example, the chapter on SDG14 features research led by Global Fishing Watch, published this year in Science. Their team has tracked over 70,000 industrial fishing vessels from 2012 to 2016, processed 22 billion automatic identification system messages to map and quantify fishing around the world….(More)”.

Plunging response rates to household surveys worry policymakers

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The Economist: “Response rates to surveys are plummeting all across the rich world. Last year only around 43% of households contacted by the British government responded to the LFS, down from 70% in 2001 (see chart). In America the share of households responding to the Current Population Survey (CPS) has fallen from 94% to 85% over the same period. The rest of Europe and Canada have seen similar trends.

Poor response rates drain budgets, as it takes surveyors more effort to hunt down interviewees. And a growing reluctance to give interviewers information threatens the quality of the data. Politicians often complain about inaccurate election polls. Increasingly misleading economic surveys would be even more disconcerting.

Household surveys derive their power from randomness. Since it is impractical to get every citizen to complete a long questionnaire regularly, statisticians interview what they hope is a representative sample instead. But some types are less likely to respond than others—people who live in flats not houses, for example. A study by Christopher Bollinger of the University of Kentucky and three others matched data from the CPS with social-security records and found that poorer and very rich households were more likely to ignore surveyors than middle-income ones. Survey results will be skewed if the types who do not answer are different from those who do, or if certain types of people are more loth to answer some questions, or more likely to fib….

Statisticians have been experimenting with methods of improving response rates: new ways to ask questions, or shorter questionnaires, for example. Payment raises response rates, and some surveys offer more money for the most reluctant interviewees. But such persistence can have drawbacks. One study found that more frequent attempts to contact interviewees raised the average response rate, but lowered the average quality of answers.

Statisticians have also been exploring supplementary data sources, including administrative data. Such statistics come with two big advantages. One is that administrative data sets can include many more people and observations than is practical in a household survey, giving researchers the statistical power to run more detailed studies. Another is that governments already collect them, so they can offer huge cost savings over household surveys. For instance, Finland’s 2010 census, which was based on administrative records rather than surveys, cost its government just €850,000 ($1.1m) to produce. In contrast, America’s government spent $12.3bn on its 2010 census, roughly 200 times as much on a per-person basis.

Recent advances in computing mean that vast data sets are no longer too unwieldy for use by researchers. However, in many rich countries (those in Scandinavia are exceptions), socioeconomic statistics are collected by several agencies, meaning that researchers who want to combine, say, health records with tax data, face formidable bureaucratic and legal challenges.

Governments in English-speaking countries are especially keen to experiment. In January HMRC, the British tax authority, started publishing real-time tax data as an “experimental statistic” to be compared with labour-market data from household surveys. Two-fifths of Canada’s main statistical agency’s programmes are based at least in part on administrative records. Last year, Britain passed the Digital Economy Act, which will give its Office of National Statistics (ONS) the right to requisition data from other departments and from private sources for statistics-and-research purposes. America is exploring using such data as part of its 2020 census.

Administrative data also have their limitations (see article). They are generally not designed to be used in statistical analyses. A data set on income taxes might be representative of the population receiving benefits or earning wages, but not the population as a whole. Most important, some things are not captured in administrative records, such as well-being, informal employment and religious affiliation….(More)”.

Information to Action: Strengthening EPA Citizen Science Partnerships for Environmental Protection

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Report by the National Advisory Council for Environmental Policy and Technology: “Citizen science is catalyzing collaboration; new data and information brought about by greater public participation in environmental research are helping to drive a new era of environmental protection. As the body of citizen-generated data and information in the public realm continues to grow, EPA must develop a clear strategy to lead change and encourage action beyond the collection of data. EPA should recognize the variety of opportunities that it has to act as a conduit between the public and key partners, including state, territorial, tribal and local governments; nongovernmental organizations; and leading technology groups in the private sector. The Agency should build collaborations with new partners, identify opportunities to integrate equity into all relationships, and ensure that grassroots and community-based organizations are well supported and fairly resourced in funding strategies.

Key recommendations under this theme:

  • Recommendation 1. Catalyze action from citizen science data and information by providing guidance and leveraging collaboration.
  • Recommendation 2. Build inclusive and equitable partnerships by understanding partners’ diverse concerns and needs, including prioritizing better support for grassroots and community-based partnerships in EPA grantfunding strategies.

Increase state, territorial, tribal and local government engagement with citizen science

The Agency should reach out to tribes, states, territories and local governments throughout the country to understand the best practices and strategies for encouraging and incorporating citizen science in environmental protection. For states and territories looking for ways to engage in citizen science, EPA can help design strategies that recognize the community perspectives while building capacity in state and territorial governments. Recognizing the direct Executive Summary Information to Action: Strengthening EPA Citizen Science Partnerships for Environmental Protection connection between EPA and tribes, the Agency should seek tribal input and support tribes in using citizen science for environmental priorities. EPA should help to increase awareness for citizen science and where jurisdictional efforts already exist, assist in making citizen science accessible through local government agencies. EPA should more proactively listen to the voices of local stakeholders and encourage partners to embrace a vision for citizen science to accelerate the achievement of environmental goals. As part of this approach, EPA should find ways to define and communicate the Agency’s role as a resource in helping communities achieve environmental outcomes.

Key recommendations under this theme:

  • Recommendation 3. Provide EPA support and engage states and territories to better integrate citizen science into program goals.
  • Recommendation 4. Build on the unique strengths of EPA-tribal relationships.
  • Recommendation 5. Align EPA citizen science work to the priorities of local governments.

Leverage external organizations for expertise and project level support

Collaborations between communities and other external organizations—including educational institutions, civic organizations, and community-based organizations— are accelerating the growth of citizen science. Because EPA’s direct connection with members of the public often is limited, the Agency could benefit significantly by consulting with key external organizations to leverage citizen science efforts to provide the greatest benefit for the protection of human health and the environment. EPA should look to external organizations as vital connections to communities engaged in collaboratively led scientific investigation to address community-defined questions, referred to as community citizen science. External organizations can help EPA in assessing gaps in community-driven research and help the Agency to design effective support tools and best management practices for facilitating effective environmental citizen science programs….(More)”.

Most Maps of the New Ebola Outbreak Are Wrong

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Ed Kong in The Atlantic: “Almost all the maps of the outbreak zone that have thus far been released contain mistakes of this kind. Different health organizations all seem to use their own maps, most of which contain significant discrepancies. Things are roughly in the right place, but their exact positions can be off by miles, as can the boundaries between different regions.

Sinai, a cartographer at UCLA, has been working with the Ministry of Health to improve the accuracy of the Congo’s maps, and flew over on Saturday at their request. For each health zone within the outbreak region, Sinai compiled a list of the constituent villages, plotted them using the most up-to-date sources of geographical data, and drew boundaries that include these places and no others. The maps at the top of this piece show the before (left) and after (right) images….

Consider Bikoro, the health zone where the outbreak may have originated, and where most cases are found. Sinai took a list of all Bikoro’s villages, plotted them using the most up-to-date sources of geographical data, and drew a boundary that includes these places and no others. This new shape is roughly similar to the one on current maps, but with critical differences. Notably, existing maps have the village of Ikoko Impenge—one of the epicenters of the outbreak—outside the Bikoro health zone, when it actually lies within the zone.

 “These visualizations are important for communicating the reality on the ground to all levels of the health hierarchy, and to international partners who don’t know the country,” says Mathias Mossoko, the head of disease surveillance data in DRC.

“It’s really important for the outbreak response to have real and accurate data,” adds Bernice Selo, who leads the cartographic work from the Ministry of Health’s command center in Kinshasa. “You need to know exactly where the villages are, where the health facilities are, where the transport routes and waterways are. All of this helps you understand where the outbreak is, where it’s moving, how it’s moving. You can see which villages have the highest risk.”

To be clear, there’s no evidence that these problems are hampering the response to the current outbreak. It’s not like doctors are showing up in the middle of the forest, wondering why they’re in the wrong place. “Everyone on the ground knows where the health zones start and end,” says Sinai. “I don’t think this will make or break the response. But you surely want the most accurate data.”

It feels unusual to not have this information readily at hand, especially in an era when digital maps are so omnipresent and so supposedly truthful. If you search for San Francisco on Google Maps, you can be pretty sure that what comes up is actually where San Francisco is. On Google Street View, you can even walk along a beach at the other end of the world….(More)”.

But the Congo is a massive country—a quarter the size of the United States with considerably fewer resources. Until very recently, they haven’t had the resources to get accurate geolocalized data. Instead, the boundaries of the health zones and their constituent “health areas,” as well as the position of specific villages, towns, rivers, hospitals, clinics, and other landmarks, are often based on local knowledge and hand-drawn maps. Here’s an example, which I saw when I visited the National Institute for Biomedical Research in March. It does the job, but it’s clearly not to scale.

Mapping the economy in real time is almost ‘within our grasp’

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Delphine Strauss at the Financial Times: “The goal of mapping economic activity in real time, just as we do for weather or traffic, is “closer than ever to being within our grasp”, according to Andy Haldane, the Bank of England’s chief economist. In recent years, “data has become the new oil . . . and data companies have become the new oil giants”, Mr Haldane told an audience at King’s Business School …

But economics and finance have been “rather reticent about fully embracing this oil-rush”, partly because economists have tended to prefer a deductive approach that puts theory ahead of measurement. This needs to change, he said, because relying too much on either theory or real-world data in isolation can lead to serious mistakes in policymaking — as was seen when the global financial crisis exposed the “empirical fragility” of macroeconomic models.

Parts of the private sector and academia have been far swifter to exploit the vast troves of ever-accumulating data now available — 90 per cent of which has been created in the last two years alone. Massachusetts Institute of Technology’s “Billion Prices Project”, name-checked in Mr Haldane’s speech, now collects enough data from online retailers for its commercial arm to provide daily inflation updates for 22 economies….

The UK’s Office for National Statistics — which has faced heavy criticism over the quality of its data in recent years — is experimenting with “web-scraping” to collect price quotes for food and groceries, for example, and making use of VAT data from small businesses to improve its output-based estimates of gross domestic product. In both cases, the increased sample size and granularity could bring considerable benefits on top of existing surveys, Mr Haldane said.

The BoE itself is trying to make better use of financial data — for example, by using administrative data on owner-occupied mortgages to better understand pricing decisions in the UK housing market. Mr Haldane sees scope to go further with the new data coming on stream on payment, credit and banking flows. …New data sources and techniques could also help policymakers think about human decision-making — which rarely conforms with the rational process assumed in many economic models. Data on music downloads from Spotify, used as an indicator of sentiment, has recently been shown to do at least as well as a standard consumer confidence survey in tracking consumer spending….(More)”.

CrowdLaw Manifesto

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At the Rockefeller Foundation Bellagio Center this spring, assembled participants  met to discuss CrowdLaw, namely how to use technology to improve the quality and effectiveness of law and policymaking through greater public engagement. We put together and signed 12 principles to promote the use of CrowdLaw by local legislatures and national parliaments, calling for legislatures, technologists and the public to participate in creating more open and participatory lawmaking practices. We invite you to sign the Manifesto using the form below.

Draft dated May 29, 2018

  1. To improve public trust in democratic institutions, we must improve how we govern in the 21st century.
  2. CrowdLaw is any law, policy-making or public decision-making that offers a meaningful opportunity for the public to participate in one or multiples stages of decision-making, including but not limited to the processes of problem identification, solution identification, proposal drafting, ratification, implementation or evaluation.
  3. CrowdLaw draws on innovative processes and technologies and encompasses diverse forms of engagement among elected representatives, public officials, and those they represent.
  4. When designed well, CrowdLaw may help governing institutions obtain more relevant facts and knowledge as well as more diverse perspectives, opinions and ideas to inform governing at each stage and may help the public exercise political will.
  5. When designed well, CrowdLaw may help democratic institutions build trust and the public to play a more active role in their communities and strengthen both active citizenship and democratic culture.
  6. When designed well, CrowdLaw may enable engagement that is thoughtful, inclusive, informed but also efficient, manageable and sustainable.
  7. Therefore, governing institutions at every level should experiment and iterate with CrowdLaw initiatives in order to create formal processes for diverse members of society to participate in order to improve the legitimacy of decision-making, strengthen public trust and produce better outcomes.
  8. Governing institutions at every level should encourage research and learning about CrowdLaw and its impact on individuals, on institutions and on society.
  9. The public also has a responsibility to improve our democracy by demanding and creating opportunities to engage and then actively contributing expertise, experience, data and opinions.
  10. Technologists should work collaboratively across disciplines to develop, evaluate and iterate varied, ethical and secure CrowdLaw platforms and tools, keeping in mind that different participation mechanisms will achieve different goals.
  11. Governing institutions at every level should encourage collaboration across organizations and sectors to test what works and share good practices.
  12. Governing institutions at every level should create the legal and regulatory frameworks necessary to promote CrowdLaw and better forms of public engagement and usher in a new era of more open, participatory and effective governing.

The CrowdLaw Manifesto has been signed by the following individuals and organizations:

Individuals

  • Victoria Alsina, Senior Fellow at The GovLab and Faculty Associate at Harvard Kennedy School, Harvard University
  • Marta Poblet Balcell , Associate Professor, RMIT University
  • Robert Bjarnason — President & Co-founder, Citizens Foundation; Better Reykjavik
  • Pablo Collada — Former Executive Director, Fundación Ciudadano Inteligente
  • Mukelani Dimba — Co-chair, Open Government Partnership
  • Hélène Landemore, Associate Professor of Political Science, Yale University
  • Shu-Yang Lin, re:architect & co-founder, PDIS.tw
  • José Luis Martí , Vice-Rector for Innovation and Professor of Legal Philosophy, Pompeu Fabra University
  • Jessica Musila — Executive Director, Mzalendo
  • Sabine Romon — Chief Smart City Officer — General Secretariat, Paris City Council
  • Cristiano Ferri Faría — Director, Hacker Lab, Brazilian House of Representatives
  • Nicola Forster — President and Founder, Swiss Forum on Foreign Policy
  • Raffaele Lillo — Chief Data Officer, Digital Transformation Team, Government of Italy
  • Tarik Nesh-Nash — CEO & Co-founder, GovRight; Ashoka Fellow
  • Beth Simone Noveck, Director, The GovLab and Professor at New York University Tandon School of Engineering
  • Ehud Shapiro , Professor of Computer Science and Biology, Weizmann Institute of Science

Organizations

  • Citizens Foundation, Iceland
  • Fundación Ciudadano Inteligente, Chile
  • International School for Transparency, South Africa
  • Mzalendo, Kenya
  • Smart Cities, Paris City Council, Paris, France
  • Hacker Lab, Brazilian House of Representatives, Brazil
  • Swiss Forum on Foreign Policy, Switzerland
  • Digital Transformation Team, Government of Italy, Italy
  • The Governance Lab, New York, United States
  • GovRight, Morocco
  • ICT4Dev, Morocco

On Dimensions of Citizenship

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Introduction by Niall Atkinson, Ann Lui, and Mimi Zeiger to a Special Exhibit and dedicated set of Essays: “We begin by defining citizenship as a cluster of rights, responsibilities, and attachments, and by positing their link to the built environment. Of course architectural examples of this affiliation—formal articulations of inclusion and exclusion—can seem limited and rote. The US-Mexico border wall (“The Wall,” to use common parlance) dominates the cultural imagination. As an architecture of estrangement, especially when expressed as monolithic prototypes staked in the San Diego-Tijuana landscape, the border wall privileges the rhetorical security of nationhood above all other definitions of citizenship—over the individuals, ecologies, economies, and communities in the region. And yet, as political theorist Wendy Brown points out, The Wall, like its many counterparts globally, is inherently fraught as both a physical infrastructure and a nationalist myth, ultimately racked by its own contradictions and paradoxes.

Calling border walls across the world “an ad hoc global landscape of flows and barriers,” Brown writes of the paradoxes that riddle any effort to distinguish the nation as a singular, cohesive form: “[O]ne irony of late modern walling is that a structure taken to mark and enforce an inside/outside distinction—a boundary between ‘us’ and ‘them’ and between friend and enemy—appears precisely the opposite when grasped as part of a complex of eroding lines between the police and the military, subject and patria, vigilante and state, law and lawlessness.”1 While 2018 is a moment when ideologies are most vociferously cast in binary rhetoric, the lived experience of citizenship today is rhizomic, overlapping, and distributed. A person may belong and feel rights and responsibilities to a neighborhood, a voting district, remain a part of an immigrant diaspora even after moving away from their home country, or find affiliation on an online platform. In 2017, Blizzard Entertainment, the maker of World of Warcraft, reported a user community of 46 million people across their international server network. Thus, today it is increasingly possible to simultaneously occupy multiple spaces of citizenship independent from the delineation of a formal boundary.

Conflict often makes visible emergent spaces of citizenship, as highlighted by recent acts both legislative and grassroots. Gendered bathrooms act as renewed sites of civil rights debate. Airports illustrate the thresholds of national control enacted by the recent Muslim bans. Such clashes uncover old scar tissue, violent histories and geographies of spaces. The advance of the Keystone XL pipeline across South Dakota, for example, brought the fight for indigenous sovereignty to the fore.

If citizenship itself designates a kind of border and the networks that traverse and ultimately elude such borders, then what kind of architecture might Dimensions of Citizenship offer in lieu of The Wall? What designed object, building, or space might speak to the heart of what and how it means to belong today? The participants in the United States Pavilion offer several of the clear and vital alternatives deemed so necessary by Samuel R. Delany: The Cobblestone. The Space Station. The Watershed.

Dimensions of Citizenship argues that citizenship is indissociable from the built environment, which is exactly why that relationship can be the source for generating or supporting new forms of belonging. These new forms may be more mutable and ephemeral, but no less meaningful and even, perhaps, ultimately more equitable. Through commissioned projects, and through film, video artworks, and responsive texts, Dimensions of Citizenship exhibits the ways that architects, landscape architects, designers, artists, and writers explore the changing form of citizenship: the different dimensions it can assume (legal, social, emotional) and the different dimensions (both actual and virtual) in which citizenship takes place. The works are valuably enigmatic, wide-ranging, even elusive in their interpretations, which is what contemporary conditions seem to demand. More often than not, the spaces of citizenship under investigation here are marked by histories of inequality and the violence imposed on people, non-human actors, ecologies. Our exhibition features spaces and individuals that aim to manifest the democratic ideals of inclusion against the grain of broader systems: new forms of “sharing economy” platforms, the legacies of the Underground Railroad, tenuous cross-national alliances at the border region, or the seemingly Sisyphean task of buttressing coastline topologies against the rising tides….(More)”.

Using Blockchain Technology to Create Positive Social Impact

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Randall Minas in Healthcare Informatics: “…Healthcare is yet another area where blockchain can make a substantial impact. Blockchain technology could be used to enable the WHO and CDC to better monitor disease outbreaks over time by creating distributed “ledgers” that are both secure and updated hundreds of times per day. Issued in near real-time, these updates would alert healthcare professionals to spikes in local cases almost immediately. Additionally, using blockchain would allow accurate diagnosis and streamline the isolation of clusters of cases as quickly as possible. Providing blocks of real-time disease information—especially in urban areas—would be invaluable.

In the United States, disease updates are provided in a Morbidity and Mortality Weekly Report (MMWR) from the CDC. This weekly report provides tables of current disease trends for hospitals and public health officials. Another disease reporting mechanism is the National Outbreak Reporting System (NORS), launched in 2009. NORS’ web-based tool provides outbreak data through 2016 and is accessible to the general public. There are two current weaknesses in the NORS reporting system and both can be addressed by blockchain technology.

The first issue lies in the number of steps required to accurately report each outbreak. A health department reports an outbreak to the NORS system, the CDC checks it for accuracy, analyzes the data, then provides a summary via the MMRW. Instantiating blockchain as the technology through which the NORS data is reported, every health department in the country could have preliminary data on disease trends at their fingertips without having to wait for the next MMRW publication.

The second issue is the inherent cybersecurity vulnerabilities using a web-based platform to monitor disease reporting. As we have seen with cyberattacks both domestic and abroad, cybersecurity vulnerabilities underlie most of our modern-day computing infrastructure. Blockchain was designed to be secure because it is decentralized across many computer networks and, since it was designed as a digital ledger, the previous data (or “blocks”) in the blockchain are difficult to alter.

While the NORS platform could be hacked with malware to gain access to our electricity and water infrastructure, instituting blockchain technology would limit the potential damage of the malware based on the inherent security of the technology. If this does not sound important, imagine the damage and ensuing panic that could be caused by a compromised NORS reporting a widespread Ebola outbreak.

The use of blockchain in monitoring epidemic outbreaks might not only apply to fast-spreading outbreaks like the flu, but also to epidemics that have lasted for decades. Since blockchain allows an unchangeable snapshot of data over time and can be anonymous, partner organizations could provide HIV test results to an individual’s “digital ledger” with a date of the test and the results.

Individuals could then exchange their HIV status securely, in an application, before engaging in high-risk behaviors. Since many municipalities provide free or low-cost, anonymous HIV testing, the use of blockchain would allow disease monitoring and exchange of status in a secure and trusted manner. The LGBTQ community and other high-risk communities could use an application to securely exchange HIV status with potential partners. With widespread adoption of this status-exchange system, an individual’s high-risk exposure could be limited, further reducing the spread of the epidemic.

While much of the creative application around blockchain has focused on supply chain-like models, including distribution of renewable energy and local sourcing of goods, it is important also to think innovatively about how blockchain can be used outside of supply chain and accounting.

In healthcare, blockchain has been discussed frequently in relation to electronic health records (EHRs), yet even that could be underappreciating the technology’s potential. Leaders in the blockchain arena should invest in application development for epidemic monitoring and disease control using blockchain technology. …(More)”.

Gender is personal – not computational

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Foad Hamidi, Morgan Scheuerman and Stacy Branham in the Conversation: “Efforts at automatic gender recognition – using algorithms to guess a person’s gender based on images, video or audio – raise significant social and ethical concerns that are not yet fully explored. Most current research on automatic gender recognition technologies focuses instead on technological details.

Our recent research found that people with diverse gender identities, including those identifying as transgender or gender nonbinary, are particularly concerned that these systems could miscategorize them. People who express their gender differently from stereotypical male and female norms already experience discrimination and harm as a result of being miscategorized or misunderstood. Ideally, technology designers should develop systems to make these problems less common, not more so.

As digital technologies become more powerful and sophisticated, their designers are trying to use them to identify and categorize complex human characteristics, such as sexual orientation, gender and ethnicity. The idea is that with enough training on abundant user data, algorithms can learn to analyze people’s appearance and behavior – and perhaps one day characterize people as well as, or even better than, other humans do.

Gender is a hard topic for people to handle. It’s a complex concept with important roles both as a cultural construct and a core aspect of an individual’s identity. Researchers, scholars and activists are increasingly revealing the diverse, fluid and multifaceted aspects of gender. In the process, they find that ignoring this diversity can lead to both harmful experiences and social injustice. For example, according to the 2016 National Transgender Survey, 47 percent of transgender participants stated that they had experienced some form of discrimination at their workplace due to their gender identity. More than half of transgender people who were harassed, assaulted or expelled because of their gender identity had attempted suicide….(More)”.

International Data Flows and Privacy: The Conflict and its Resolution

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World Bank Policy Research Working Paper by Aaditya Mattoo and Joshua P Meltzer: “The free flow of data across borders underpins today’s globalized economy. But the flow of personal dataoutside the jurisdiction of national regulators also raises concerns about the protection of privacy. Addressing these legitimate concerns without undermining international integration is a challenge. This paper describes and assesses three types of responses to this challenge: unilateral development of national or regional regulation, such as the European Union’s Data Protection Directive and forthcoming General Data Protection Regulation; international negotiation of trade disciplines, most recently in the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP); and international cooperation involving regulators, most significantly in the EU-U.S. Privacy Shield Agreement.

The paper argues that unilateral restrictions on data flows are costly and can hurt exports, especially of data-processing and other data-based services; international trade rules that limit only the importers’ freedom to regulate cannot address the challenge posed by privacy; and regulatory cooperation that aims at harmonization and mutual recognition is not likely to succeed, given the desirable divergence in national privacy regulation. The way forward is to design trade rules (as the CPTPP seeks to do) that reflect the bargain central to successful international cooperation (as in the EU-US Privacy Shield): regulators in data destination countries would assume legal obligations to protect the privacy of foreign citizens in return for obligations on data source countries not to restrict the flow of data. Existing multilateral rules can help ensure that any such arrangements do not discriminate against and are open to participation by other countries….(More)”.