A distributed model for internet governance


Global Partners Digital: “Across the world, increased internet adoption has radically altered people’s lives – creating the need for new methods of internet governance that are more effective, flexible, inclusive, and legitimate. Conversations about reforming the internet governance ecosystem are already taking place at the CSTD Working Group on Enhanced Cooperation, and within the wider IGF community.

A new paper by GovLab co-founder and GPD Advisory Board member Stefaan Verhulst – A distributed model for internet governance – seeks to contribute to this evolving debate by proposing a distributed yet coordinated framework for internet governance – one which accommodates existing and emerging decision-making approaches, while also enabling broader participation by a wider range of institutions and actors….(More)”

Index: Collective Intelligence


By Hannah Pierce and Audrie Pirkl

The Living Library Index – inspired by the Harper’s Index – provides important statistics and highlights global trends in governance innovation. This installment focuses on collective intelligence and was originally published in 2017.

The Collective Intelligence Universe

  • Amount of money that Reykjavik’s Better Neighbourhoods program has provided each year to crowdsourced citizen projects since 2012: € 2 million (Citizens Foundation)
  • Number of U.S. government challenges that people are currently participating in to submit their community solutions: 778 (Challenge.gov).
  • Percent of U.S. arts organizations used social media to crowdsource ideas in 2013, from programming decisions to seminar scheduling details: 52% (Pew Research)
  • Number of Wikipedia members who have contributed to a page in the last 30 days: over 120,000 (Wikipedia Page Statistics)
  • Number of languages that the multinational crowdsourced Letters for Black Lives has been translated into: 23 (Letters for Black Lives)
  • Number of comments in a Reddit thread that established a more comprehensive timeline of the theater shooting in Aurora than the media: 1272 (Reddit)
  • Number of physicians that are members of SERMO, a platform to crowdsource medical research: 800,000 (SERMO)
  • Number of citizen scientist projects registered on SciStarter: over 1,500 (Collective Intelligence 2017 Plenary Talk: Darlene Cavalier)
  • Entrants to NASA’s 2009 TopCoder Challenge: over 1,800 (NASA)

Infrastructure

  • Number of submissions for Block Holm (a digital platform that allows citizens to build “Minecraft” ideas on vacant city lots) within the first six months: over 10,000 (OpenLearn)
  • Number of people engaged to The Participatory Budgeting Project in the U.S.: over 300,000. (Participatory Budgeting Project)
  • Amount of money allocated to community projects through this initiative: $238,000,000

Health

  • Percentage of Internet-using adults with chronic health conditions that have gone online within the US to connect with others suffering from similar conditions: 23% (Pew Research)
  • Number of posts to Patient Opinion, a UK based platform for patients to provide anonymous feedback to healthcare providers: over 120,000 (Nesta)
    • Percent of NHS health trusts utilizing the posts to improve services in 2015: 90%
    • Stories posted per month: nearly 1,000 (The Guardian)
  • Number of tumors reported to the English National Cancer Registration each year: over 300,000 (Gov.UK)
  • Number of users of an open source artificial pancreas system: 310 (Collective Intelligence 2017 Plenary Talk: Dana Lewis)

Government

  • Number of submissions from 40 countries to the 2017 Open (Government) Contracting Innovation Challenge: 88 (The Open Data Institute)
  • Public-service complaints received each day via Indonesian digital platform Lapor!: over 500 (McKinsey & Company)
  • Number of registered users of Unicef Uganda’s weekly, SMS poll U-Report: 356,468 (U-Report)
  • Number of reports regarding government corruption in India submitted to IPaidaBribe since 2011: over 140,000 (IPaidaBribe)

Business

  • Reviews posted since Yelp’s creation in 2009: 121 million reviews (Statista)
  • Percent of Americans in 2016 who trust online customer reviews as much as personal recommendations: 84% (BrightLocal)
  • Number of companies and their subsidiaries mapped through the OpenCorporates platform: 60 million (Omidyar Network)

Crisis Response

Public Safety

  • Number of sexual harassment reports submitted to from 50 cities in India and Nepal to SafeCity, a crowdsourcing site and mobile app: over 4,000 (SafeCity)
  • Number of people that used Facebook’s Safety Check, a feature that is being used in a new disaster mapping project, in the first 24 hours after the terror attacks in Paris: 4.1 million (Facebook)

Big Data: A Twenty-First Century Arms Race


Report by Atlantic Council and Thomson Reuters: “We are living in a world awash in data. Accelerated interconnectivity, driven by the proliferation of internet-connected devices, has led to an explosion of data—big data. A race is now underway to develop new technologies and implement innovative methods that can handle the volume, variety, velocity, and veracity of big data and apply it smartly to provide decisive advantage and help solve major challenges facing companies and governments

For policy makers in government, big data and associated technologies like machine-learning and artificial Intelligence, have the potential to drastically improve their decision-making capabilities. How governments use big data may be a key factor in improved economic performance and national security. This publication looks at how big data can maximize the efficiency and effectiveness of government and business, while minimizing modern risks. Five authors explore big data across three cross-cutting issues: security, finance, and law.

Chapter 1, “The Conflict Between Protecting Privacy and Securing Nations,” Els de Busser
Chapter 2, “Big Data: Exposing the Risks from Within,” Erica Briscoe
Chapter 3, “Big Data: The Latest Tool in Fighting Crime,” Benjamin Dean, Fellow
Chapter 4, “Big Data: Tackling Illicit Financial Flows,” Tatiana Tropina
Chapter 5, “Big Data: Mitigating Financial Crime Risk,” Miren Aparicio….Read the Publication (PDF)

What Bhutanese hazelnuts tell us about using data for good


Bruno Sánchez-Andrade Nuño at WEForum: “How are we going to close the $2.5 trillion/year finance gap to achieve the Sustainable Development Goals (SDGs)? Whose money? What business model? How to scale it that much? If you read the recent development economics scholar literature, or Jim Kim’s new financing approach of the World Bank, you might hear the benefits of “blended finance” or “triple bottom lines.” I want to tell you instead about a real case that makes a dent. I want to tell you about Sonam.

Sonam is a 60-year old farmer in rural Bhutan. His children left for the capital, Thimphu, like many are doing nowadays. Four years ago, he decided to plant 2 acres of hazelnuts on an unused rocky piece of his land. Hazelnut saplings, training, and regular supervision all come from “Mountain Hazelnuts”, Bhutan’s only 100% foreign invested company. They fund the costs of the trees and helps him manage his orchard. In return, when the nuts come, he will sell his harvest to them above the guaranteed floor price, which will double his income; in a time when he will be too old to work in his rice field.

You could find similar impact stories for the roughly 10,000 farmers participating in this operation across the country, where the farmers are carefully selected to ensure productivity, maximize social and environmental benefits, such as vulnerable households, or reducing land erosion.

But Sonam also gets a visit from Kinzang every month. This is Kinzang’s first job. Otherwise, he would have moved to the city in hopes of finding a low paying job, but more likely joining the many unemployed youth from the countryside. Kinzang carefully records data on his smart-phone, talks to Sonam and digitally transmits the data back to the company HQ. There, if a problem is recorded with irrigation, pests, or there is any data anomaly, a team of experts (locally trained agronomists) will visit his orchard to figure out a solution.

The whole system of support, monitoring, and optimization live on a carefully crafted data platform that feeds information to and from the farmers, the monitors, the agronomist experts, and local government authorities. It ensures that all 10 million trees are healthy and productive, minimizes extra costs, tests and tracks effectiveness of new treatments….

This is also a story which demonstrates how “Data is the new oil” is not the right approach. If Data is the new oil, you extract value from the data, without much regard to feeding back value to the source of the data. However, in this system, “Data is the new soil.” Data creates a higher ground in which value flows back and forth. It lifts the source of the data -the farmers- into new income generation, it enables optimized operations; and it also helps the whole country: Much of the data (such as road quality used by the monitors) is made open for the benefit of the Bhutanese people, without contradiction or friction with the business model….(More)”.

Public Data Is More Important Than Ever–And Now It’s Easier To Find


Meg Miller at Co.Design: “Public data, in theory, is meant to be accessible to everyone. But in practice, even finding it can be near impossible, to say nothing of figuring out what to do with it once you do. Government data websites are often clunky and outdated, and some data is still trapped on physical media–like CDs or individual hard drives.

Tens of thousands of these CDs and hard drives, full of data on topics from Arkansas amusement parks to fire incident reporting, have arrived at the doorstep of the New York-based start-up Enigma over the past four years. The company has obtained thousands upon thousands more datasets by way of Freedom of Information Act (FOIA) requests. Enigma specializes in open data: gathering it, curating it, and analyzing it for insights into a client’s industry, for example, or for public service initiatives.

Enigma also shares its 100,000 datasets with the world through an online platform called Public—the broadest collection of public data that is open and searchable by everyone. Public has been around since Enigma launched in 2013, but today the company is introducing a redesigned version of the site that’s fresher and more user-friendly, with easier navigation and additional features that allow users to drill further down into the data.

But while the first iteration of Public was mostly concerned with making Enigma’s enormous trove of data—which it was already gathering and reformating for client work—accessible to the public, the new site focuses more on linking that data in new ways. For journalists, researchers, and data scientists, the tool will offer more sophisticated ways of making sense of the data that they have access to through Enigma….

…the new homepage also curates featured datasets and collections to enforce a sense of discoverability. For example, an Enigma-curated collection of U.S. sanctions data from the U.S. Treasury Department’s Office of Foreign Assets Control (OFAC) shows data on the restrictions on entities or individuals that American companies can and can’t do business with in an effort to achieve specific national security or foreign policy objectives. A new round of sanctions against Russia have been in the news lately as an effort by President Trump to loosen restrictions on blacklisted businesses and individuals in Russia was overruled by the Senate last week. Enigma’s curated data selection on U.S. sanctions could help journalists contextualize recent events with data that shows changes in sanctions lists over time by presidential administration, for instance–or they could compare the U.S. sanctions list to the European Union’s….(More).

Why blockchain could be your next form of ID as a world citizen


 at TechRepublic: “Blockchain is moving from banking to the refugee crisis, as Microsoft and Accenture on Monday announced a partnership to use the technology to provide a legal form of identification for 1.1 billion people worldwide as part of the global public-private partnership ID2020.

The two tech giants developed a prototype that taps Accenture’s blockchain capabilities and runs on Microsoft Azure. The tech tool uses a person’s biometric data, such as a fingerprint or iris scan, to unlock the record-keeping blockchain technology and create a legal ID. This will allow refugees to have a personal identity record they can access from an app on a smartphone to receive assistance at border crossings, or to access basic services such as healthcare, according to a press release.

The prototype is designed so that personally identifiable information (PII) always exists “off chain,” and is not stored in a centralized system. Citizens use their biometric data to access their information, and chose when to share it—preventing the system from being accessed by tyrannical governments that refugees are fleeing from, as ZDNet noted.

Accenture’s platform is currently used in the Biometric Identity Management System operated by the United Nations High Commissioner for Refugees, which has enrolled more than 1.3 million refugees in 29 nations across Asia, Africa, and the Caribbean. The system is predicted to support more than 7 million refugees from 75 countries by 2020, the press release noted.

“People without a documented identity suffer by being excluded from modern society,” said David Treat, a managing director in Accenture’s global blockchain business, in the press release. “Our prototype is personal, private and portable, empowering individuals to access and share appropriate information when convenient and without the worry of using or losing paper documentation.”

ID is key for accessing education, healthcare, voting, banking, housing, and other family benefits, the press release noted. ID2020’s goal is to create a secure, established digital ID system for all citizens worldwide….

Blockchain will likely play an increasing role in both identification and security moving forward, especially as it relates to the Internet of Things (IoT). For example, Telstra, an Australian telecommunications company, is currently experimenting with a combination of blockchain and biometric security for its smart home products, ZDNet reported….(More)”.

AI software created for drones monitors wild animals and poachers


Springwise: “Artificial intelligence software installed into drones is to be used by US tech company Neurala to help protect endangered species from poachers. Working with the region’s Lingbergh Foundation, Neurala is currently helping operations in South Africa, Malawi and Zimbabwe and have had requests from Botswana, Mozambique and Zambia for assistance with combatting poaching.

The software is designed to monitor video as it is streamed back to researchers from unmanned drones that can fly for up to five hours, identifying animals, vehicles and poachers in real time without any human input. It can then alert rangers via the mobile command center if anything out of the ordinary is detected. The software can analyze regular or infrared footage, and therefore works with video taken day or night.

The Lindbergh Foundation will be deploying the technology as part of operation Air Shepherd, which is aimed at protecting elephants and rhinos in Southern Africa from poachers. According to the Foundation, elephants and rhinos are at risk of being extinct in just 10 years if current poaching rates continue, and has logged 5,000 hours of drone flight time over the course of 4,000 missions to date.

The use of drones within business models is proving popular, with recent innovations including a drone painting systemthat created crowdfunded murals and two Swiss hospitals that used a drone to deliver lab samples between them….(More)”.

Big Mind: How Collective Intelligence Can Change Our World


Book by Geoff Mulgan: “A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This “bigger mind”—human and machine capabilities working together—has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results? Gathering insights from diverse fields, including philosophy, computer science, and biology, Big Mind reveals how collective intelligence can guide corporations, governments, universities, and societies to make the most of human brains and digital technologies.

Geoff Mulgan explores how collective intelligence has to be consciously organized and orchestrated in order to harness its powers. He looks at recent experiments mobilizing millions of people to solve problems, and at groundbreaking technology like Google Maps and Dove satellites. He also considers why organizations full of smart people and machines can make foolish mistakes—from investment banks losing billions to intelligence agencies misjudging geopolitical events—and shows how to avoid them.

Highlighting differences between environments that stimulate intelligence and those that blunt it, Mulgan shows how human and machine intelligence could solve challenges in business, climate change, democracy, and public health. But for that to happen we’ll need radically new professions, institutions, and ways of thinking.

Informed by the latest work on data, web platforms, and artificial intelligence, Big Mind shows how collective intelligence could help us survive and thrive….(More)”

Nobody Is Smarter or Faster Than Everybody


Rod Collins at Huffington Post: “One of the deepest beliefs of command-and-control management is the assumption that the smartest organization is the one with the smartest individuals. This belief is as old as scientific management itself. According to this way of thinking, just as there is a right way to perform every activity, there are right individuals who are essential for defining what are the right things and for making sure that things are done right. Thus, traditional organizations have long held that the key to the successful achievement of the corporation’s two basic accountabilities of strategy and execution is to hire the smartest individual managers and the brightest functional experts.

Command-and-control management assumes that intelligence fundamentally resides in a select number of star performers who are able to leverage their expertise across large groups of people through proper direction and effective control. Thus, the recruiting efforts and the promotional practices of most companies are focused on competing for and retaining the most talented people. While established management thinking holds that most individual workers are replaceable, this is not so for those star performers whose decision-making and problem-solving prowess are heroically revered. Traditional hierarchical organizations firmly believe in the myth of the individual hero. They are convinced that a single highly intelligent individual can make the difference between success and failure, whether that person is a key senior executive, a functional expert, or even a highly paid consultant.

However, in a rapidly changing world, it is becoming painfully obvious to harried executives that no single individual or even an elite cadre of star performers can adequately process the ever-evolving knowledge of fast-changing markets into operational excellence in real-time. Eric Teller, the CEO of Google X, has astutely recognized that we now live in a world where the pace of technological change exceeds the capacity for most individuals to absorb these changes in real time. If we can’t depend upon smart individuals to process change in time to respond to market developments, what options do business leaders have?

Nobody Is Smarter Than Everybody

If business executives want to build smart companies in a rapidly changing world, they will need to think differently and discover the most untapped resource in their organizations: the collective intelligence of their own people. Innovative organizations, such as Wikipedia and Google, have made this discovery and have leveraged the power of collective intelligence into powerful business models that have radically transformed their industries. The struggling online encyclopedia Nupedia rescued itself from oblivion when it serendipitously discovered an obscure application known as a wiki and transformed itself into Wikipedia by using the wiki platform to leverage the power of collective intelligence. In less than a decade, Wikipedia became the world’s most popular general reference resource. Google, which was a late entry into a crowded field of search engine upstarts, quickly garnered two-thirds of the search market by becoming the first engine to use the wisdom of crowds to rank web pages. These successful enterprises have uncovered the essential management wisdom for our times: Nobody is smarter or faster than everybody….

While smart individuals are important in any organization, it isn’t their unique intelligence that is paramount but rather their unique contributions to the overall intelligence of teams. That’s because the blending of the diverse perspectives of different types of intelligences is often the fastest path to the solution of complex problems, as we learned in the summer of 2011 when a diverse group of over 250,000 experts, non-experts, and unusual suspects in a scientific gaming community called Foldit, solved in ten days a biomolecular problem that had alluded the world’s best scientists for over ten years. This means a self-organized group that required no particular credentials for membership was 365 times more effective and efficient than the world’s most credentialed individual experts. Similarly, the non-credentialed contributors of Wikipedia were able to produce approximately 18,000 articles in its first year of operation compared to only 25 articles produced by academic experts in Nupedia’s first year. This means the wisdom of the crowd was 720 times more effective and efficient than the individual experts. These results are completely counterintuitive to everything that most of us have been taught about how intelligence works. However, as counterintuitive as this may seem, the preeminence of collective intelligence has suddenly become a practical reality thanks to proliferation of digital technology over the last two decades.

As we move from the first wave of the digital revolution, which was sparked by connecting people via the Internet, to the second wave where everyone and everything will be hyper-connected in the emerging Internet of Things, our capacity to aggregate and leverage collective intelligence is likely to accelerate as practical applications of artificial intelligence become everyday realities….(More)”.

The lost genius of the Post Office


Kevin R. Kosar at Politico: “…When Americans think about the most innovative agency in the government, they think about the Pentagon or NASA. But throughout much of its history, that title could just as easily have fallen to the Post Office, which was a hotbed of new, interesting, sometimes crazy ideas as it sought to accomplish a seemingly simple task: deliver mail quickly and cheaply. The Post Office experimented with everything from stagecoaches to airplanes—even pondered sending mail cross-country on a missile. For decades, the agency integrated new technologies and adapted to changing environments, underpinning its ability to deliver billions of pieces of mail every year, from the beaches of Miami to the banks of Alaska, for just cents per letter.

We think a lot about how innovation arises, but not enough about how it gets quashed. And the USPS is a great example of both. Today, what was once a locus of innovation has become a tired example of bureaucratic inertia and government mismanagement. The agency always faced an uphill battle, with frequent political interference from Congress, and the ubiquity of the internet has changed how Americans communicate in unforeseeable ways. But its descent into its current state was not foretold. A series of misguided rules and laws have clipped the Post Office’s wings, turning one of the great inventors of the government into yet another clunky bureaucracy. As a new administration once again takes up the cause of “reinventing government,” it’s worth considering what made the Post Office one of the most inventive parts of the nation’s infrastructure—and what factors have dragged it down.

IN A SENSE, innovation was baked into the Post Office from the beginning. America’s national postal service precedes the founding: It was born in July 1775, a year before the Declaration of Independence was ratified. During the American Revolution, the U.S. postal system’s duty was to deliver communications between Congress and the military commanders fighting the British. And for the first postmaster general, Congress appointed an inveterate tinkerer, Benjamin Franklin. He rigged up a system of contractors to haul mail by horse and on foot. It worked….

OVERSHADOWING ALL THE invention, however, was the creeping sclerosis of the Post Office as an institution. As a monopoly, it was insulated from competitive pressures, allowing inefficiency to creep into its operations and management. Worse, political interests had sunk deep, with Congress setting postage rates too low and too frequently trying to dictate the location of post offices and mail-sorting facilities.

Political pressures had been a challenge for the department from the start. President George Washington criticized Postmaster General Ebenezer Hazard when he tried to save the department money by switching mail carriers from stagecoaches to lone horse-riders. Private companies, eager to sell products or services to the department, lobbied Congress for postal contracts. Lawmakers inserted hacks into postal jobs. Everybody wanted something from the Post Office Department, and Congress proved all too happy to satisfy these political pressures….

At the same time, technology rapidly was catching up to the Post Office. The first threat was actually a miss: Although the electronic fax arrived in the early 1970s, it did not eat into the USPS’ business. So when cellular-phone technology arrived in the late 1980s and the internet erupted in the mid-1990s, USPS officials mostly shrugged. Annual revenues climbed, and the USPS’ employee cohort rose to nearly 800,000 before the end of the 20th century….

Private-sector companies may soon eat even more of the Postal Service’s lunch, or a good portion of it. Amazon is building a delivery network of its own, with lockers instead of post office boxes, and experimenting with drones. Uber also has nosed into the delivery business, and other companies are experimenting with autonomous delivery vehicles and robots….

The agency continues to be led by longtime postal people rather than those who move fluidly through the increasingly digitized world; Congress also has not been much help. The postal reform bill currently moving before Congress might sound like the right idea, but its fixes are superficial: It would force the USPS to create an “innovation officer,” an official with little authority to bring about genuine change at the agency, and wouldn’t do much to dislodge the entrenched political interests from the basic structure of the USPS. Which means the Postal Service—once one of the most impressive and fast-moving information networks ever devised—may end up as a lesson in how not to meet the future….(More)”