Research on digital identity ecosystems


Francesca Bria et al at NESTA/D-CENT: “This report presents a concrete analysis of the latest evolution of the identity ecosystem in the big data context, focusing on the economic and social value of data and identity within the current digital economy. This report also outlines economic, policy, and technical alternatives to develop an identity ecosystem and management of data for the common good that respects citizens’ rights, privacy and data protection.

Key findings

  • This study presents a review of the concept of identity and a map of the key players in the identity industry (such as data brokers and data aggregators), including empirical case studies of identity management in key sectors.
    ….
  • The “datafication” of individuals’ social lives, thoughts and moves is a valuable commodity and constitutes the backbone of the “identity market” within which “data brokers” (collectors, purchasers or sellers) play key different roles in creating the market by offering various services such as fraud, customer relation, predictive analytics, marketing and advertising.
  • Economic, political and technical alternatives for identity to preserve trust, privacy and data ownership in today’s big data environments are formulated. The report looks into access to data, economic strategies to manage data as commons, consent and licensing, tools to control data, and terms of services. It also looks into policy strategies such as privacy and data protection by design and trust and ethical frameworks. Finally, it assesses technical implementations looking at identity and anonymity, cryptographic tools; security; decentralisation and blockchains. It also analyses the future steps needed in order to move into the suggested technical strategies….(More)”

Data Collaboratives: Sharing Public Data in Private Hands for Social Good


Beth Simone Noveck (The GovLab) in Forbes: “Sensor-rich consumer electronics such as mobile phones, wearable devices, commercial cameras and even cars are collecting zettabytes of data about the environment and about us. According to one McKinsey study, the volume of data is growing at fifty percent a year. No one needs convincing that these private storehouses of information represent a goldmine for business, but these data can do double duty as rich social assets—if they are shared wisely.

Think about a couple of recent examples: Sharing data held by businesses and corporations (i.e. public data in private hands) can help to improve policy interventions. California planners make water allocation decisions based upon expertise, data and analytical tools from public and private sources, including Intel, the Earth Research Institute at the University of California at Santa Barbara, and the World Food Center at the University of California at Davis.

In Europe, several phone companies have made anonymized datasets available, making it possible for researchers to track calling and commuting patterns and gain better insight into social problems from unemployment to mental health. In the United States, LinkedIn is providing free data about demand for IT jobs in different markets which, when combined with open data from the Department of Labor, helps communities target efforts around training….

Despite the promise of data sharing, these kind of data collaboratives remain relatively new. There is a need toaccelerate their use by giving companies strong tax incentives for sharing data for public good. There’s a need for more study to identify models for data sharing in ways that respect personal privacy and security and enable companies to do well by doing good. My colleagues at The GovLab together with UN Global Pulse and the University of Leiden, for example, published this initial analysis of terms and conditions used when exchanging data as part of a prize-backed challenge. We also need philanthropy to start putting money into “meta research;” it’s not going to be enough to just open up databases: we need to know if the data is good.

After years of growing disenchantment with closed-door institutions, the push for greater use of data in governing can be seen as both a response and as a mirror to the Big Data revolution in business. Although more than 1,000,000 government datasets about everything from air quality to farmers markets are openly available online in downloadable formats, much of the data about environmental, biometric, epidemiological, and physical conditions rest in private hands. Governing better requires a new empiricism for developing solutions together. That will depend on access to these private, not just public data….(More)”

This free online encyclopedia has achieved what Wikipedia can only dream of


Nikhil Sonnad at Quartz: “The Stanford Encyclopedia of Philosophy may be the most interesting website on the internet. Not because of the content—which includes fascinating entries on everything from ambiguity to zombies—but because of the site itself.

Its creators have solved one of the internet’s fundamental problems: How to provide authoritative, rigorously accurate knowledge, at no cost to readers. It’s something the encyclopedia, or SEP, has managed to do for two decades.

The internet is an information landfill. Somewhere in it—buried under piles of opinion, speculation, and misinformation—is virtually all of human knowledge. The story of the SEP shows that it is possible to create a less trashy internet.  But sorting through the trash is difficult work. Even when you have something you think is valuable, it often turns out to be a cheap knock-off.

The story of how the SEP is run, and how it came to be, shows that it is possible to create a less trashy internet—or at least a less trashy corner of it. A place where actual knowledge is sorted into a neat, separate pile instead of being thrown into the landfill. Where the world can go to learn everything that we know to be true. Something that would make humans a lot smarter than the internet we have today.

The impossible trinity of information

The online SEP has humble beginnings. Edward Zalta, a philosopher at Stanford’s Center for the Study of Language and Information, launched it way back in September 1995, with just two entries.

Philosophizing, pre-internet.(Flickr/Erik Drost—CC-BY-2.0)

That makes it positively ancient in internet years. Even Wikipedia is only 14. ….

John Perry, the director of the center, was the one who first suggested a dictionary of philosophical terms. But Zalta had bigger ideas. He and two co-authors later described the challenge in a 2002 paper (pdf, p. 1):

A fundamental problem faced by the general public and the members of an academic discipline in the information age is how to find the most authoritative, comprehensive, and up-to-date information about an important topic.

That paper is so old that it mentions “CD-ROMs” in the second sentence. But for all the years that have passed, the basic problem remains unsolved.  The requirements are an “impossible trinity”—like having your cake, eating it, and then bringing it to another party. The three requirements the authors list—”authoritative, comprehensive, and up-to-date”—are to information what the “impossible trinity” is to economics. You can only ever have one or two at once. It is like having your cake, eating it, and then bringing it to another party.

Yet if the goal is to share with people what is true, it is extremely important for a resource to have all of these things. It must be trusted. It must not leave anything out. And it must reflect the latest state of knowledge. Unfortunately, all of the other current ways of designing an encyclopedia very badly fail to meet at least one of these requirements.

Where other encyclopedias fall short

Book

Authoritative: √

Comprehensive: X

Up-to-date: X

Printed encyclopedias: still a thing(Princeton University Press)

Printed books are authoritative: Readers trust articles they know have been written and edited by experts. Books also produce a coherent overview of a subject, as the editors consider how each entry fits into the whole. But they become obsolete whenever new research comes out. Nor can a book (or even a set of volumes) be comprehensive, except perhaps for a very narrow discipline; there’s simply too much to print.

Crowdsourcing

Authoritative: X

Comprehensive: X

Up-to-date: √

A crowdsourced online encyclopedia has the virtue of timeliness. Thanks to Wikipedia’s vibrant community of non-experts, its entries on breaking-news events are often updated as they happen. But except perhaps in a few areas in which enough well-informed people care for errors to get weeded out, Wikipedia is not authoritative.  Basic mathematics entries on Wikipedia were a “a hot mess of error, arrogance, obscurity, and nonsense.”  One math professor reviewed basic mathematics entries and found them to be a “a hot mess of error, arrogance, obscurity, and nonsense.” Nor is it comprehensive: Though it has nearly 5 million articles in the English-language version alone, seemingly in every sphere of knowledge, fewer than 10,000 are “A-class” or better, the status awarded to articles considered “essentially complete.”

Speaking of holes, the SEP has a rather detailed entry on the topic of holes, and it rather nicely illustrates one of Wikipedia’s key shortcomings. Holes present a tricky philosophical problem, the SEP entry explains: A hole is nothing, but we refer to it as if it were something. (Achille Varzi, the author of the holes entry, was called upon in the US presidential election in 2000 toweigh in on the existential status of hanging chads.) If you ask Wikipedia for holes it gives you the young-adult novel Holes and the band Hole.

In other words, holes as philosophical notions are too abstract for a crowdsourced venue that favors clean, factual statements like a novel’s plot or a band’s discography. Wikipedia’s bottom-up model could never produce an entry on holes like the SEP’s.

Crowdsourcing + voting

Authoritative: ?

Comprehensive: X

Up-to-date: ?

A variation on the wiki model is question-and-answer sites like Quora (general interest) and StackOverflow (computer programming), on which users can pose questions and write answers. These are slightly more authoritative than Wikipedia, because users also vote answers up or down according to how helpful they find them; and because answers are given by single, specific users, who are encouraged to say why they’re qualified (“I’m a UI designer at Google,” say).

But while there are sometimes ways to check people’s accreditation, it’s largely self-reported and unverified. Moreover, these sites are far from comprehensive. Any given answer is only as complete as its writer decides or is able to make it. And the questions asked and answered tend to reflect the interests of the sites’ users, which in both Quora and StackOverflow’s cases skew heavily male, American, and techie.

Moreover, the sites aren’t up-to-date. While they may respond quickly to new events, answers that become outdated aren’t deleted or changed but stay there, burdening the site with a growing mass of stale information.

The Stanford solution

So is the impossible trinity just that—impossible? Not according to Zalta. He imagined a different model for the SEP: the “dynamic reference work.”

Dynamic reference work

Authoritative: √

Comprehensive: √

Up-to-date: √

To achieve authority, several dozen subject editors—responsible for broad areas like “ancient philosophy” or “formal epistemology”—identify topics in need of coverage, and invite qualified philosophers to write entries on them. If the invitation is accepted, the author sends an outline to the relevant subject editors.

 This is not somebody randomly deciding to answer a question on Quora. “An editor works with the author to get an optimal outline before the author begins to write,” says Susanna Siegel, subject editor for philosophy of mind. “Sometimes there is a lot of back and forth at this stage.” Editors may also reject entries. Zalta and Uri Nodelman, the SEP’s senior editor, say that this almost never happens. In the rare cases when it does, the reason is usually that an entry is overly biased. In short, this is not somebody randomly deciding to answer a question on Quora.

An executive editorial board—Zalta, Nodelman, and Colin Allen—works to make the SEP comprehensive….(More)”

Routledge International Handbook of Ignorance Studies


Book edited by Matthias Gross and Linsey McGoey: “Once treated as the absence of knowledge, ignorance today has become a highly influential topic in its own right, commanding growing attention across the natural and social sciences where a wide range of scholars have begun to explore the social life and political issues involved in the distribution and strategic use of not knowing. The field is growing fast and this handbook reflects this interdisciplinary field of study by drawing contributions from economics, sociology, history, philosophy, cultural studies, anthropology, feminist studies, and related fields in order to serve as a seminal guide to the political, legal and social uses of ignorance in social and political life….(More)”

Why interdisciplinary research matters


Special issue of Nature: “To solve the grand challenges facing society — energy, water, climate, food, health — scientists and social scientists must work together. But research that transcends conventional academic boundaries is harder to fund, do, review and publish — and those who attempt it struggle for recognition and advancement (see World View, page 291). This special issue examines what governments, funders, journals, universities and academics must do to make interdisciplinary work a joy rather than a curse.

A News Feature on page 308 asks where the modern trend for interdisciplinary research came from — and finds answers in the proliferation of disciplines in the twentieth century, followed by increasingly urgent calls to bridge them. An analysis of publishing data explores which fields and countries are embracing interdisciplinary research the most, and what impact such research has (page 306). Onpage 313, Rick Rylance, head of Research Councils UK and himself a researcher with one foot in literature and one in neuroscience, explains why interdisciplinarity will be the focus of a 2015–16 report from the Global Research Council. Around the world, government funding agencies want to know what it is, whether they should they invest in it, whether they are doing so effectively and, if not, what must change.

How can scientists successfully pursue research outside their comfort zone? Some answers come from Rebekah Brown, director of Monash University’s Monash Sustainability Institute in Melbourne, Australia, and her colleagues. They set out five principles for successful interdisciplinary working that they have distilled from years of encouraging researchers of many stripes to seek sustainability solutions (page 315). Similar ideas help scientists, curators and humanities scholars to work together on a collection that includes clay tablets, papyri, manuscripts and e-mail archives at the John Rylands Research Institute in Manchester, UK, reveals its director, Peter Pormann, on page 318.

Finally, on page 319, Clare Pettitt reassesses the multidisciplinary legacy of Richard Francis Burton — Victorian explorer, ethnographer, linguist and enthusiastic amateur natural scientist who got some things very wrong, but contributed vastly to knowledge of other cultures and continents. Today’s would-be interdisciplinary scientists can draw many lessons from those of the past — and can take our polymathy quiz online at nature.com/inter. (Nature special:Interdisciplinarity)

Openness an Essential Building Block for Inclusive Societies


 (Mexico) in the Huffington Post: “The international community faces a complex environment that requires transforming the way we govern. In that sense, 2015 marks a historic milestone, as 193 Member States of the United Nations will come together to agree on the adoption of the 2030 Agenda. With the definition of the 17 Sustainable Development Goals (SDGs), we will set an ambitious course toward a better and more inclusive world for the next 15 years.

The SDGs will be established just when governments deal with new and more defiant challenges, which require increased collaboration with multiple stakeholders to deliver innovative solutions. For that reason, cutting-edge technologies, fueled by vast amounts of data, provide an efficient platform to foster a global transformation and consolidate more responsive, collaborative and open governments.

Goal 16 seeks to promote just, peaceful and inclusive societies by ensuring access to public information, strengthening the rule of law, as well as building stronger and more accountable institutions. By doing so, we will contribute to successfully achieve the rest of the 2030 Agenda objectives.

During the 70th United Nations General Assembly, the 11 countries of the Steering Committee of the Open Government Partnership (OGP), along with civil-society leaders, will gather to acknowledge Goal 16 as a common target through a Joint Declaration: Open Government for the Implementation of the 2030 Agenda for Sustainable Development. As the Global Summit of OGP convenes this year in Mexico City, on October 28th and 29th, my government will call on all 65 members to subscribe to this fundamental declaration.

The SDGs will be reached only through trustworthy, effective and inclusive institutions. This is why Mexico, as current chair of the OGP, has committed to promote citizen participation, innovative policies, transparency and accountability.

Furthermore, we have worked with a global community of key players to develop the international Open Data Charter (ODC), which sets the founding principles for a greater coherence and increased use of open data across the world. We seek to recognize the value of having timely, comprehensive, accessible, and comparable data to improve governance and citizen engagement, as well as to foster inclusive development and innovation….(More)”

Addressing Inequality and the ‘Data Divide’


Daniel Castro at the US Chamber of Commerce Foundation: “In the coming years, communities across the nation will increasingly rely on data to improve quality of life for their residents, such as by improving educational outcomes, reducing healthcare costs, and increasing access to financial services. However, these opportunities require that individuals have access to high-quality data about themselves and their communities. Should certain individuals or communities not routinely have data about them collected, distributed, or used, they may suffer social and economic consequences. Just as the digital divide has held back many communities from reaping the benefits of the modern digital era, a looming “data divide” threatens to stall the benefits of data-driven innovation for a wide swathe of America. Given this risk, policymakers should make a concerted effort to combat data poverty.

Data already plays a crucial role in guiding decision making, and it will only become more important over time. In the private sector, businesses use data for everything from predicting inventory demand to responding to customer feedback to determining where to open new stores. For example, an emerging group of financial service providers use non-traditional data sources, such as an individual’s social network, to assess credit risk and make lending decisions. And health insurers and pharmacies are offering discounts to customers who use fitness trackers to monitor and share data about their health. In the public sector, data is at the heart of important efforts like improving patient safety, cutting government waste, and helping children succeed in school. For example, public health officials in states like Indiana and Maryland have turned to data science in an effort to reduce infant mortality rates.

Many of these exciting advancements are made possible by a new generation of technologies that make it easier to collect, share, and disseminate data. In particular, the Internet of Everything is creating a plethora of always-on devices that record and transmit a wealth of information about our world and the people and objects in it. Individuals are using social media to create a rich tapestry of interactions tied to particular times and places. In addition, government investments in critical data systems, such as statewide databases to track healthcare spending and student performance over time, are integral to efforts to harness data for social good….(More)”

Collective Intelligence Meets Medical Decision-Making


Paper by Max Wolf, Jens Krause, Patricia A. Carney, Andy Bogart, Ralf H. Kurvers indicating that “The Collective Outperforms the Best Radiologist”: “While collective intelligence (CI) is a powerful approach to increase decision accuracy, few attempts have been made to unlock its potential in medical decision-making. Here we investigated the performance of three well-known collective intelligence rules (“majority”, “quorum”, and “weighted quorum”) when applied to mammography screening. For any particular mammogram, these rules aggregate the independent assessments of multiple radiologists into a single decision (recall the patient for additional workup or not). We found that, compared to single radiologists, any of these CI-rules both increases true positives (i.e., recalls of patients with cancer) and decreases false positives (i.e., recalls of patients without cancer), thereby overcoming one of the fundamental limitations to decision accuracy that individual radiologists face. Importantly, we find that all CI-rules systematically outperform even the best-performing individual radiologist in the respective group. Our findings demonstrate that CI can be employed to improve mammography screening; similarly, CI may have the potential to improve medical decision-making in a much wider range of contexts, including many areas of diagnostic imaging and, more generally, diagnostic decisions that are based on the subjective interpretation of evidence….(More)”

Algorithm predicts and prevents train delays two hours in advance


Springwise: “Transport apps such as Ototo make it easier than ever for passengers to stay informed about problems with public transport, but real-time information can only help so much — by the time users find out about a delayed service, it is often too late to take an alternative route. Now, Stockholmstag — the company that runs Sweden’s trains — have found a solution in the form of an algorithm called ‘The Commuter Prognosis’, which can predict network delays up to two hours in advance, giving train operators time to issue extra services or provide travelers with adequate warning.
The system was created by mathematician Wilhelm Landerholm. It uses historical data to predict how a small delay, even as little as two minutes, will affect the running of the rest of the network. Often the initial late train causes a ripple effect, with subsequent services being delayed to accommodate new platform arrival time, which then affect subsequent trains, and so on. But soon, using ‘The Commuter Prognosis’, Stockholmstag train operators will be able to make the necessary adjustments to prevent this. In addition, the information will be relayed to commuters, enabling them to take a different train and therefore reducing overcrowding. The prediction tool is expected to be put into use in Sweden by the end of the year….(More)”

Drones and Aerial Observation: New Technologies for Property Rights, Human Rights, and Global Development


New America Foundation: “Clear and secure rights to property—land, natural resources, and other goods and assets—are crucial to human prosperity. Most people lack such rights. That lack is in part a consequence of political and social breakdowns, and in part driven by informational deficits. Unmanned Aerial Vehicles (UAVs), also known as drones, are able to gather large amounts of information cheaply and efficiently by virtue of their aerial perspective, as can unpowered platforms like kites and balloons.

That information, in the form of images, maps, and other data, can be used by communities to improve the quality and character of their property rights. These same tools are also useful in other, related aspects of global development. Drone surveillance can help conservationists protect endangered wildlife and aid scientists in understanding the changing climate; drone imagery can be used by advocates and analysts to document and deter human rights violations; UAVs can be used by first responders to search for lost people or to evaluate the extent of damage after natural disasters like earthquakes or hurricanes.

This primer discusses the capabilities and limitations of unmanned aerial vehicles in advancing property rights, human rights and development more broadly. It contains both nuts-and-bolts advice to drone operators and policy guidance.

Click below to download the text of this primer, or on the corresponding link for a particular chapter…. (More)