Solving some of the world’s toughest problems with the Global Open Policy Report


 at Creative Commons: “Open Policy is when governments, institutions, and non-profits enact policies and legislation that makes content, knowledge, or data they produce or fund available under a permissive license to allow reuse, revision, remix, retention, and redistribution. This promotes innovation, access, and equity in areas of education, data, software, heritage, cultural content, science, and academia.

For several years, Creative Commons has been tracking the spread of open policies around the world. And now, with the new Global Open Policy Report (PDF) by the Open Policy Network, we’re able to provide a systematic overview of open policy development.

screen-shot-2016-12-02-at-5-57-09-pmThe first-of-its-kind report gives an overview of open policies in 38 countries, across four sectors: education, science, data and heritage. The report includes an Open Policy Index and regional impact and local case studies from Africa, the Middle East, Asia, Australia, Latin America, Europe, and North America. The index measures open policy strength on two scales: policy strength and scope, and level of policy implementation. The index was developed by researchers from CommonSphere, a partner organization of CC Japan.

The Open Policy Index scores were used to classify countries as either Leading, Mid-Way, or Delayed in open policy development. The ten countries with the highest scores are Argentina, Bolivia, Chile, France, Kyrgyzstan, New Zealand, Poland, South Korea, Tanzania, and Uruguay…(More)

Towards a transparency ontology in the context of open government


 and  at Electronic Government: “Several open government initiatives have been launched to make available online data enhancing accountability of public officials towards ordinary citizens. However, these initiatives raise several questions, namely: Which data should be disclosed? How to bring together dispersed (fragmented) data? How to improve its understandability by ordinary citizens? Literature shows that, in general, the data selection process does not take into account ordinary citizens’ expectations and information needs. This paper presents the development process of a transparency ontology, which aims to provide an answer to the above questions, in what concerns public sector entities’ use of resources. The process started by creating a list of relevant expressions/terms discussed in national and local newspapers, considering the role of journalists as ‘information brokers’ acting on behalf of ordinary citizens. This list was externally validated for relevance, comprehensiveness and improvements by interviewing journalists, and the resulting transparency ontology was formalised using OWL and Protégé….(More)”.

Data Does Good


FastCoExist: “If you don’t have extra money or time to give to charity, a new startup suggests donating something else: yourself. More specifically, your (anonymized) shopping data.

Data Does Good, a benefit corporation, lets users choose a nonprofit to support and link up their Amazon shopping history. The startup’s system automatically strips away personal information, then aggregates it with other data for sale. Each year, your chosen nonprofit gets a $15 donation.

“We both had experience working with consumer data and knew how valuable online shopping information had become,” says Scott Steinberg, who co-founded Data Does Good with fellow Stanford Graduate School of Business grad Eric Peter.

“We also noticed that most consumers weren’t aware they owned this information or that it could be used to their benefit,” he says. “So, we started talking about finding ways to help people take ownership over their data and help them see their shopping data as a valuable resource, rather than something to be feared.”

You “own” your digital shopping data the same way that you own traditional paper receipts from physical stores, but since online data can easily be aggregated, it has more value. Virtually any app or website you use collects data about you—for better or worse—but Amazon, as the largest online retailer, has particularly valuable data for any company that wants to sell anything….

With mass participation, the model could dramatically increase funding for nonprofits while donors’ bank accounts remain unchanged….(More)”

The Government Isn’t Doing Enough to Solve Big Problems with AI


Mike Orcutt at MIT Technology Review: “The government should play a bigger role in developing new tools based on artificial intelligence, or we could miss out on revolutionary applications because they don’t have obvious commercial upside.

That was the message from prominent AI technologists and researchers at a Senate committee hearing last week. They agreed that AI is in a crucial developmental moment, and that government has a unique opportunity to shape its future. They also said that the government is in a better position than technology companies to invest in AI applications aimed at broad societal problems.

Today just a few companies, led by Google and Facebook, account for the lion’s share of AI R&D in the U.S. But Eric Horvitz, technical fellow and managing director of Microsoft Research, told the committee members that there are important areas that are rich and ripe for AI innovation, such as homelessness and addiction, where the industry isn’t making big investments. The government could help support those pursuits, Horvitz said.

For a more specific example, take the plight of a veteran seeking information online about medical options, says Andrew Moore, dean of the school of computer science at Carnegie Mellon University. If an application that could respond to freeform questions, search multiple government data sets at once, and provide helpful information about a veteran’s health care options were commercially attractive, it might be available already, he says.

There is a “real hunger for basic research” says Greg Brockman, cofounder and chief technology officer of the nonprofit research company OpenAI, because technologists understand that they haven’t made the most important advances yet. If we continue to leave the bulk of it to industry, not only could we miss out on useful applications, but also on the chance to adequately explore urgent scientific questions about ethics, safety, and security while the technology is still young, says Brockman. Since the field of AI is growing “exponentially,” it’s important to study these things now, he says, and the government could make that a “top line thing that they are trying to get done.”….(More)”.

Arcep goes forward with crowdsourcing data for regulation in France


IIC: “France’s regulator, Arcep, says it is taking another step towards crowdsourcing to reflect users’ experience as accurately as possible, as part of a data-centric approach to regulation. It says it has decided to bring changes to its scoreboards on network and service coverage and quality, to provide users with more reliable and more representative measurements of fixed internet access and telephone services. To this end, it intends to make use of new digital tools that will enable any user to obtain a reliable, objective and reproducible measurement of how their individual access is performing. Crowdsourcing instruments will also allow Arcep to obtain a wealth of collaboratively produced information, which will help in identifying any market failures.

The objective over time: to reflect the user experience as accurately as possible, as part of a data-centric approach to regulation. “The aim of making information transparent is to allow citizen-consumers to steer the market”. To be able to commit fully to this new approach, an adjustment must be made to the current regulatory framework, and Arcep has launched a public consultation on a draft decision, amending the framework decision of 2013 on measuring and publishing fixed service QoS indicators. In particular, provisions regarding the quality of fixed internet access and telephone services, which have become superfluous, will be removed starting in the second half of 2017….(More)”

Social Movements and World-System Transformation


Book edited by Jackie Smith, Michael Goodhart, Patrick Manning, and John Markoff: “At a particularly urgent world-historical moment, this volume brings together some of the leading researchers of social movements and global social change and other emerging scholars and practitioners to advance new thinking about social movements and global transformation. Social movements around the world today are responding to crisis by defying both political and epistemological borders, offering alternatives to the global capitalist order that are imperceptible through the modernist lens. Informed by a world-historical perspective, contributors explain today’s struggles as building upon the experiences of the past while also coming together globally in ways that are inspiring innovation and consolidating new thinking about what a fundamentally different, more equitable, just, and sustainable world order might look like.

This collection offers new insights into contemporary movements for global justice, challenging readers to appreciate how modernist thinking both colors our own observations and complicates the work of activists seeking to resolve inequities and contradictions that are deeply embedded in Western cultural traditions and institutions. Contributors consider today’s movements in the longue durée—that is, they ask how Occupy Wall Street, the Arab Spring, and other contemporary struggles for liberation reflect, build upon, or diverge from anti-colonial and other emancipatory struggles of the past. Critical to this volume is its exploration of how divisions over gender equity and diversity of national cultures and class have impacted what are increasingly intersectional global movements. The contributions of feminist and indigenous movements come to the fore in this collective exploration of what the movements of yesterday and today can contribute to our ongoing effort to understand the dynamics of global transformation in order to help advance a more equitable, just, and ecologically sustainable world….(More)”.

Whiplash: How to Survive Our Faster Future


WhiplashBook by Joi Ito and Jeff Howe: “The future,” as the author William Gibson once noted, “is already here. It’s just unevenly distributed.” WHIPLASH is a postcard from that future.
The world is more complex and volatile today than at any other time in our history. The tools of our modern existence are getting faster, cheaper, and smaller at an exponential rate, just as billions of strangers around the world are suddenly just one click or tweet or post away from each other. When these two revolutions joined, an explosive force was unleashed that is transforming every aspect of society, from business to culture and from the public sphere to our most private moments.
Such periods of dramatic change have always produced winners and losers. The future will run on an entirely new operating system. It’s a major upgrade, but it comes with a steep learning curve. The logic of a faster future oversets the received wisdom of the past, and the people who succeed will be the ones who learn to think differently.
In WHIPLASH, Joi Ito and Jeff Howe distill that logic into nine organizing principles for navigating and surviving this tumultuous period. From strategically embracing risks rather than mitigating them (or preferring “risk over safety”) to drawing inspiration and innovative ideas from your existing networks (or supporting “pull over push”), this dynamic blueprint can help you rethink your approach to all facets of your organization….(More)”

The age of analytics: Competing in a data-driven world


Updated report by the McKinsey Global Institute: “Back in 2011, the McKinsey Global Institute published a report highlighting the transformational potential of big data. Five years later, we remain convinced that this potential has not been overhyped. In fact, we now believe that our 2011 analyses gave only a partial view. The range of applications and opportunities has grown even larger today. The convergence of several technology trends is accelerating progress. The volume of data continues to double every three years as information pours in from digital platforms, wireless sensors, and billions of mobile phones. Data storage capacity has increased, while its cost has plummeted. Data scientists now have unprecedented computing power at their disposal, and they are devising ever more sophisticated algorithms….

There has been uneven progress in capturing value from data and analytics…

  • ƒ The EU public sector: Our 2011 report analyzed how the European Union’s public sector could use data and analytics to make government services more efficient, reduce fraud and errors in transfer payments, and improve tax collection, potentially achieving some €250 billion worth of annual savings. But only about 10 to 20 percent of this has materialized. Some agencies have moved more interactions online, and many (particularly tax agencies) have introduced pre-filled forms. But across Europe and other advanced economies, adoption and capabilities vary greatly. The complexity of existing systems and the difficulty of attracting scarce analytics talent with public-sector salaries have slowed progress. Despite this, we see even wider potential today for societies to use analytics to make more evidence-based decisions in many aspects of government. ƒ

US health care: To date, only 10 to 20 percent of the opportunities we outlined in 2011 have been realized by the US health-care sector. A range of barriers—including a lack of incentives, the difficulty of process and organizational changes, a shortage of technical talent, data-sharing challenges, and regulations—have combined to limit adoption. Within clinical operations, the biggest success has been the shift to electronic medical records, although the vast stores of data they contain have not yet been fully mined. While payers have been slow to capitalize on big data for accounting and pricing, a growing industry now aggregates and synthesizes clinical records, and analytics have taken on new importance in public health surveillance. Many pharmaceutical firms are using analytics in R&D, particularly in streamlining clinical trials. While the health-care sector continues to lag in adoption, there are enormous unrealized opportunities to transform clinical care and deliver personalized medicine… (More)”

Executive Summary (PDF–1MB)

Full Report (PDF–3MB)

Appendix (PDF–533KB)

Too Much Democracy in All the Wrong Places: Toward a Grammar of Participation


Christopher M. Kelty at Current Anthropology: “Participation is a concept and practice that governs many aspects of new media and new publics. There are a wide range of attempts to create more of it and a surprising lack of theorization. In this paper I attempt to present a “grammar” of participation by looking at three cases where participation has been central in the contemporary moment of new, social media and the Internet as well as in the past, stretching back to the 1930s: citizen participation in public administration, workplace participation, and participatory international development. Across these three cases I demonstrate that the grammar of participation shifts from a language of normative enthusiasm to one of critiques of co-optation and bureaucratization and back again. I suggest that this perpetually aspirational logic results in the problem of “too much democracy in all the wrong places.”…(More)”

Saving Science


Daniel Sarewitz at the New Atlantis: “Science, pride of modernity, our one source of objective knowledge, is in deep trouble. Stoked by fifty years of growing public investments, scientists are more productive than ever, pouring out millions of articles in thousands of journals covering an ever-expanding array of fields and phenomena. But much of this supposed knowledge is turning out to be contestable, unreliable, unusable, or flat-out wrong. From metastatic cancer to climate change to growth economics to dietary standards, science that is supposed to yield clarity and solutions is in many instances leading instead to contradiction, controversy, and confusion. Along the way it is also undermining the four-hundred-year-old idea that wise human action can be built on a foundation of independently verifiable truths. Science is trapped in a self-destructive vortex; to escape, it will have to abdicate its protected political status and embrace both its limits and its accountability to the rest of society.

The story of how things got to this state is difficult to unravel, in no small part because the scientific enterprise is so well-defended by walls of hype, myth, and denial. But much of the problem can be traced back to a bald-faced but beautiful lie upon which rests the political and cultural power of science. This lie received its most compelling articulation just as America was about to embark on an extended period of extraordinary scientific, technological, and economic growth. It goes like this:

Scientific progress on a broad front results from the free play of free intellects, working on subjects of their own choice, in the manner dictated by their curiosity for exploration of the unknown.

 

….The fruits of curiosity-driven scientific exploration into the unknown have often been magnificent. The recent discovery of gravitational waves — an experimental confirmation of Einstein’s theoretical work from a century earlier — provided a high-publicity culmination of billions of dollars of public spending and decades of research by large teams of scientists. Multi-billion dollar investments in space exploration have yielded similarly startling knowledge about our solar system, such as the recent evidence of flowing water on Mars. And, speaking of startling, anthropologists and geneticists have used genome-sequencing technologies to offer evidence that early humans interbred with two other hominin species, Neanderthals and Denisovans. Such discoveries heighten our sense of wonder about the universe and about ourselves.

And somehow, it would seem, even as scientific curiosity stokes ever-deepening insight about the fundamental workings of our world, science managed simultaneously to deliver a cornucopia of miracles on the practical side of the equation, just as Bush predicted: digital computers, jet aircraft, cell phones, the Internet, lasers, satellites, GPS, digital imagery, nuclear and solar power. When Bush wrote his report, nothing made by humans was orbiting the earth; software didn’t exist; smallpox still did.

So one might be forgiven for believing that this amazing effusion of technological change truly was the product of “the free play of free intellects, working on subjects of their own choice, in the manner dictated by their curiosity for exploration of the unknown.” But one would be mostly wrong.

Science has been important for technological development, of course. Scientists have discovered and probed phenomena that turned out to have enormously broad technological applications. But the miracles of modernity in the above list came not from “the free play of free intellects,” but from the leashing of scientific creativity to the technological needs of the U.S. Department of Defense (DOD).

The story of how DOD mobilized science to help create our world exposes the lie for what it is and provides three difficult lessons that have to be learned if science is to evade the calamity it now faces.

First, scientific knowledge advances most rapidly, and is of most value to society, not when its course is determined by the “free play of free intellects” but when it is steered to solve problems — especially those related to technological innovation.

Second, when science is not steered to solve such problems, it tends to go off half-cocked in ways that can be highly detrimental to science itself.

Third — and this is the hardest and scariest lesson — science will be made more reliable and more valuable for society today not by being protected from societal influences but instead by being brought, carefully and appropriately, into a direct, open, and intimate relationship with those influences….(More)”