Innovations in Global Governance: Toward a Distributed Internet Governance Ecosystem


New paper by Stefaan G. Verhulst, Beth S. Noveck, Jillian Raines, and Antony Declercq as part of the Global Commission on Internet Governance Paper Series: “The growth and globalization of the Internet over the past 40 years has been nothing short of remarkable. Virtually all sectors, from development to healthcare to education to politics, have been transformed. Yet developments in how the Internet is governed have not kept pace with this rapid technological innovation. Figuring out how to evolve the Internet’s governance in ways that are effective and legitimate is essential to ensure its continued potential. Flexible and innovative decision-making mechanisms are needed in order to enable disparate governance actors to address and respond effectively as changes in the network occur. This paper seeks to address the need to develop an effective and legitimate Internet governance ecosystem by proposing a distributed yet coordinated framework that can accommodate a plurality of existing and emerging decision-making approaches. It draws on the lessons of open governance, adopting innovative techniques to facilitate coordination, information sharing, and evidence generation by and across increasingly diverse and global groups of Internet actors, and calls for creating practical tools to support such an effective, legitimate and evolving Internet governance ecosystem. Although no right answer or single model for how to manage all issues of relevance to the Internet is suggested within this paper, the proposed framework intends to allow for diverse experiments in distributed governance approaches to learn what works and what does not. (More)

Insurance company rewards customers for every 10,000 steps


Springwise: “We’ve already seen Harvard Pilgrim Health Care’s EatRight rewards scheme use tracking technology to monitor employee’s food shopping habits and Alfa-Bank Alfa-Bank in Russia — which rewards customers for every step they run. Now, Oscar Insurance is providing customers with a free Misfit Flash fitness tracker and encouraging them to reach their recommended 10,000 steps a day – rewarding them with up to USD 240 per year in Amazon vouchers.
The New York-based startup were inspired by the US Surgeon Generals’ recommendation that walking every day can have a real impact on many of the top killers in US — such as obesity, diabetes and high blood pressure. Oscar Insurance’s new policy is distinctive amongst similar initiatives in that it aims to encourage regular, gentle exercise with a small reward — USD 1 per day or USD 20 per day in Amazon gift cards — but has no built it financial punishments.
To begin, customers download the companion app which automatically syncs with their free wristband. They are then set a personal daily goal — influenced by their current fitness and sometimes as low as 2000 steps per day. The initial goal gradually increases much like a normal fitness regime. This is the latest addition to Oscar Insurance’s technology driven policies, which also enable the customer to connect with healthcare professionals in their area and allow patients and doctors to track and review their healthcare details….”

Can Business And Tech Transform The Way Our Government Works By 2020?


Ben Schiller at Co.Exist: “The rise of open data, crowd-sourcing, predictive analytics, and other big tech trends, aren’t just for companies to contend with. They’re also a challenge for government. New technology gives public agencies the opportunity to develop and deliver services in new ways, track results more accurately, and open up decision-making.
Deloitte’s big new Government 2020 report looks at the trends impacting government and lays out a bunch of ideas for how they can innovate. We picked out a few below. There are more infographics in the slide show.

Consumerization of public services

Deloitte expects entrepreneurs to “develop innovative and radically user-friendly approaches to satisfy unmet consumer demand for better public services.” Startups like Uber or Lyft “reinvigorated transportation.” Now it expects a similar “focus on seamless customer experiences” in education and health care.

Open workforce

Deloitte expects governments to become looser: collections of people doing a job, rather than large hierarchical structures. “Governments [will] expand their talent networks to include ‘partnership talent’ (employees who are parts of joint ventures), ‘borrowed talent’ (employees of contractors), ‘freelance talent’ (independent, individual contractors) and ‘open-source talent,'” the report says.

Outcome based legislation

Just as big data analytics allows companies to measure the effectiveness of marketing campaigns, so it allows governments to measure how well legislation and regulation is working. They can “shift from a concentration on processes to the achievement of specific targets.” And, if the law isn’t working, someone has the data to throw it out….”

Mastering ’Metrics: The Path from Cause to Effect


Book by Joshua D. Angrist & Jörn-Steffen Pischke : “Applied econometrics, known to aficionados as ‘metrics, is the original data science. ‘Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu–themed humor, Mastering ‘Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful.
The five most valuable econometric methods, or what the authors call the Furious Five–random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences–are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda’s Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife’s life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse….(More).”

Geneticists Begin Tests of an Internet for DNA


Antonio Regalado in MIT Technology Review: “A coalition of geneticists and computer programmers calling itself the Global Alliance for Genomics and Health is developing protocols for exchanging DNA information across the Internet. The researchers hope their work could be as important to medical science as HTTP, the protocol created by Tim Berners-Lee in 1989, was to the Web.
One of the group’s first demonstration projects is a simple search engine that combs through the DNA letters of thousands of human genomes stored at nine locations, including Google’s server farms and the University of Leicester, in the U.K. According to the group, which includes key players in the Human Genome Project, the search engine is the start of a kind of Internet of DNA that may eventually link millions of genomes together.
The technologies being developed are application program interfaces, or APIs, that let different gene databases communicate. Pooling information could speed discoveries about what genes do and help doctors diagnose rare birth defects by matching children with suspected gene mutations to others who are known to have them.
The alliance was conceived two years ago at a meeting in New York of 50 scientists who were concerned that genome data was trapped in private databases, tied down by legal consent agreements with patients, limited by privacy rules, or jealously controlled by scientists to further their own scientific work. It styles itself after the World Wide Web Consortium, or W3C, a body that oversees standards for the Web.
“It’s creating the Internet language to exchange genetic information,” says David Haussler, scientific director of the genome institute at the University of California, Santa Cruz, who is one of the group’s leaders.
The group began releasing software this year. Its hope—as yet largely unrealized—is that any scientist will be able to ask questions about genome data possessed by other laboratories, without running afoul of technical barriers or privacy rules….(More)”

Gamifying Cancer Research Crowdsources the Race for the Cure


Jason Brick at PSFK: “Computer time and human hours are among of the biggest obstacles in the face of progress in the fight against cancer. Researchers have terabytes of data, but only so many processors and people with which to analyze it. Much like the SETI program (Search for Extra Terrestrial Intelligence), it’s likely that big answers are already in the information we’ve collected. They’re just waiting for somebody to find them.
Reverse the Odds, a free mobile game from Cancer Research UK, accesses the combined resources of geeks and gamers worldwide. It’s a simple app game, the kind you play in line at the bank or while waiting at the dentist’s office, in which you complete mini puzzles and buy upgrades to save an imaginary world.
Each puzzle of the game is a repurposing of cancer data. Players find patterns in the data — the exact kind of analysis grad students and volunteers in a lab look for — and the results get compiled by Cancer Research UK for use in finding a cure. Errors are expected and accounted for because the thousands of players expected will round out the occasional mistake….(More)”

This vending machine will deny you snacks based on medical records


Springwise: “Businesses often stand by the motto ‘the customer is always right’ — but are they? We’ve already seen a few services that deny consumers what they want based on their personal info. For example, Billboard Brasil’s Fan Check Machine only gave out copies of the music magazine if the buyer could prove they owned tracks by the artist on the cover. Now the Luce X2 Touch TV vending machine uses facial recognition and customers’ medical records to determine if they should be allowed to buy an unhealthy snack.
Created by Italy-based Rhea Vendors and recently launched in the UK, the machine features a 22-inch touchscreen display that lets customers to select an item just like a standard vending machine. However, before the snack is released customers with an account can go through a facial recognition check.
The technology detects the customer’s age, build and mood in order to determine whether the purchase is a wise decision. The machine can also be programmed to access information about the user’s medical records and purchase history. If the algorithms decide that purchasing a coffee with 3 sugars or the fourth candy bar of the day is a bad idea for their health or mood, it can refuse to vend the product.
While some customers won’t appreciate their private data being analyzed or getting rejected by a lifeless machine, the idea could be a savior for those on a diet….(More).

Make policy for real, not ideal, humans


Martin Wolf at the Financial Times: “Out of the crooked timber of humanity, no straight thing was ever made. This famous remark of the German philosopher, Immanuel Kant, is particularly relevant to economists. “Homo economicus” is far-sighted, rational and self-interested. Real human beings are none of these things. We are bundles of emotions, not calculating machines. This matters

The World Bank’s latest World Development Report examines this territory. It notes that “behavioural economics” alters our view of human behaviour in three ways: first, most of our thinking is not deliberative, but automatic; second, it is socially conditioned; and, third, it is shaped by inaccurate mental models.

The Nobel laureate, Daniel Kahneman, explored the idea that we think in two different ways in his 2011 book Thinking, Fast and Slow . The need for an automatic system is evident. Our ancestors did not have the time to work out answers to life’s challenges from first principles. They acquired automatic responses and a cultural predisposition towards rules of thumb. We inherited both these traits. Thus, we are influenced by how a problem is framed.

Another characteristic is “confirmation bias” — the tendency to interpret new information as support for pre-existing beliefs. We also suffer from loss aversion, fierce resistance to losing what one already has. For our ancestors, on the margin of survival, that made sense.
The fact that humans are intensely social is clear. Even the idea that we are autonomous is itself socially conditioned. We are also far from solely self-interested. A bad consequence of the power of norms is that societies may be stuck in destructive patterns of behaviour. Nepotism and corruption are examples. If they are entrenched, it may be difficult (or dangerous) for individuals not to participate. But social norms can also be valuable. Trust is a valuable norm. It rests on one of humanity’s strongest behaviours: conditional co-operation. People will punish free-riders even when it costs them to do so. This trait strengthens groups and so must raise members’ ability to survive.
Mental models are essential. Some seem to be inbuilt; and some can be damaging — as well as productive. Ideas about “us” and “them”, reinforced by social norms, may well lead to results that range from the merely unfair to the catastrophic. Equally important may be mental models that create self-fulfilling expectations of who will succeed and who will fail. There is evidence, notes the WDR, that mental models rooted in history may shape people’s view of the world for centuries: caste is an example. Such mental models survive because they are reproduced socially and become part of the automatic rather than the deliberative system. They influence not just our perceptions of others, but perceptions of ourselves.
To illustrate the relevance of these realities, the report analyses the policy challenges of poverty, early childhood development, household finance, productivity, health and climate change….(More)”

How Government Can Unlock Economic Benefits from Open Data


at GovTech: “Zillow, the fast-growing online real estate marketplace, couldn’t exist without public data. More specifically, it probably couldn’t exist without online public data relating to real estate sales information. The nation has more than 3,000 counties, each with its own registry of deeds where routine but vital data are recorded on every transaction involving the sale of homes, businesses and land. Until recently, much of that information resided in paper documents stored in filing cabinets. But as that information has moved online, its value has increased, making it possible for firms like Zillow to use the data in new ways, creating its popular “zestimate” forecast on home values.

Zillow is a prime example of how open data creates economic value. The Seattle-based company has grown rapidly since its launch in 2006, generating more than $78 million in revenue in its last financial quarter and employing more than 500 workers. But real estate firms aren’t the only businesses benefiting from data collected and published by government.
GovLab, a research laboratory run by New York University, publishes the Open Data 500, a list of companies that benefit from open data produced by the federal government. The list contains more than 15 categories of businesses, ranging from health care and education to energy, finance, legal and the environment. And the data flows from all the major agencies, including NASA, Defense, Transportation, Homeland Security and Labor….
Zillow’s road to success underscores the challenges that lie ahead if local government is going to grab its share of open data’s economic bonanza. One of the company’s biggest hurdles was to create a system that could integrate government data from thousands of databases in county government. “There’s no standard format, which is very frustrating,” Stan Humphries, Zillow’s chief economist, told Computerworld.com. “It’s up to us to figure out 3,000 different ways to ingest data and make sense of it…. More at GovTech

The Free 'Big Data' Sources Everyone Should Know


Bernard Marr at Linkedin Pulse: “…The moves by companies and governments to put large amounts of information into the public domain have made large volumes of data accessible to everyone….here’s my rundown of some of the best free big data sources available today.

Data.gov

The US Government pledged last year to make all government data available freely online. This site is the first stage and acts as a portal to all sorts of amazing information on everything from climate to crime. To check it out, click here.

US Census Bureau

A wealth of information on the lives of US citizens covering population data, geographic data and education. To check it out, click here. To check it out, click here.

European Union Open Data Portal

As the above, but based on data from European Union institutions. To check it out, click here.

Data.gov.uk

Data from the UK Government, including the British National Bibliography – metadata on all UK books and publications since 1950. To check it out, click here.

The CIA World Factbook

Information on history, population, economy, government, infrastructure and military of 267 countries. To check it out, click here.

Healthdata.gov

125 years of US healthcare data including claim-level Medicare data, epidemiology and population statistics. To check it out, click here.

NHS Health and Social Care Information Centre

Health data sets from the UK National Health Service. To check it out, click here.

Amazon Web Services public datasets

Huge resource of public data, including the 1000 Genome Project, an attempt to build the most comprehensive database of human genetic information and NASA’s database of satellite imagery of Earth. To check it out, click here.

Facebook Graph

Although much of the information on users’ Facebook profile is private, a lot isn’t – Facebook provide the Graph API as a way of querying the huge amount of information that its users are happy to share with the world (or can’t hide because they haven’t worked out how the privacy settings work). To check it out, click here.

Gapminder

Compilation of data from sources including the World Health Organization and World Bank covering economic, medical and social statistics from around the world. To check it out, click here.

Google Trends

Statistics on search volume (as a proportion of total search) for any given term, since 2004. To check it out, click here.

Google Finance

40 years’ worth of stock market data, updated in real time. To check it out, click here.

Google Books Ngrams

Search and analyze the full text of any of the millions of books digitised as part of the Google Books project. To check it out, click here.

National Climatic Data Center

Huge collection of environmental, meteorological and climate data sets from the US National Climatic Data Center. The world’s largest archive of weather data. To check it out, click here.

DBPedia

Wikipedia is comprised of millions of pieces of data, structured and unstructured on every subject under the sun. DBPedia is an ambitious project to catalogue and create a public, freely distributable database allowing anyone to analyze this data. To check it out, click here.

Topsy

Free, comprehensive social media data is hard to come by – after all their data is what generates profits for the big players (Facebook, Twitter etc) so they don’t want to give it away. However Topsy provides a searchable database of public tweets going back to 2006 as well as several tools to analyze the conversations. To check it out, click here.

Likebutton

Mines Facebook’s public data – globally and from your own network – to give an overview of what people “Like” at the moment. To check it out, click here.

New York Times

Searchable, indexed archive of news articles going back to 1851. To check it out, click here.

Freebase

A community-compiled database of structured data about people, places and things, with over 45 million entries. To check it out, click here.

Million Song Data Set

Metadata on over a million songs and pieces of music. Part of Amazon Web Services. To check it out, click here.”
See also Bernard Marr‘s blog at Big Data Guru