I am disturbed by the way we have created a social environment in which so much emphasis is laid on competition – on forging ahead while trampling on others. The ideal of social cooperation has come to be treated as high-sounding flabbiness, while individual selfishness is regarded as the natural and sole basis for a realistic approach to life. The image of the struggle for existence lies at the back of it, seriously distorting the view we have of ourselves and wrecking mutual trust.
The fashionable philosophy of individualism draws its respectability in part from an appeal to biology and specifically to the Darwinian theory of evolution by natural selection. Now, Darwin’s theory remains the most powerful explanation for the way that each plant and animal evolved so that it is exquisitely adapted to its environment. The theory works just as well for behaviour as it does for anatomy. Individual animals differ in the way they behave. Those that behave in a manner that is better suited to the conditions in which they live are more likely to survive. Finally, if their descendants resemble them in terms of behaviour, then in the course of evolution, the better adapted forms of behaviour will replace those that are not so effective in keeping the individual alive.
It is the Darwinian concept of differential survival that has been picked up and used so insistently in political rhetoric. Biology is thought to be all about competition – and that supposedly means constant struggle. This emphasis has had an insidious effect on the public mind and has encouraged the belief in individual selfishness and in confrontation. Competition is now widely seen as the mainspring of human activity, at least in Western countries. Excellence in the universities and in the arts is thought to be driven by the same ruthless process that supposedly works so well on the sportsfield or the market place, and they all have a lot in common with what supposedly happens in the jungle. The image of selfish genes, competing with each other in the course of evolution has fused imperceptibly with the notion of selfish individuals competing with each other in the course of their life-times. Individuals only thrive by winning. The argument has become so much a part of conventional belief that it is hard at first to see what is wrong with it.
To put it bluntly, thought has been led seriously astray by the rhetoric. Beginning where the argument starts in biology, genes do not operate in a vacuum. The survival of each gene obviously depends on the characteristics of the whole gene “team” that makes up the total genetic complement of an individual. A similar point can be made above the level of the individual when symbiosis occurs between different species.
Take, for instance, lichens which are found from the Arctic to the tropics – and on virtually every surface from rocks and old roofs to tree trunks. They look like single organisms. However, they represent the fusing of algae and fungi working together in symbiotic partnership. The partners depend utterly on each other and the characteristics of the whole entity provide the adaptations to the environment.
Similarly, cooperation among social animals belies the myth of constant struggle. Many birds and mammals huddle to conserve warmth or reduce the surface exposed to biting insects. Males in a pride of lions help each other to defend the females from other males. Mutual assistance is frequently offered in hunting; for instance, cooperating members of a wolf pack will often split into those that drive the deer and those that lie in ambush. Each wolf gets more to eat as a result. In highly complex animals aid may be reciprocated on a subsequent occasion. So, if one male baboon helps another to fend off competition for a female today, the favour will be returned at a later date. What is obvious about such cases is that each of the participating individuals benefits by working together with the others. Moreover, some things can be done by a group that cannot be done by the individual. It takes two to put up a tent.
The joint action of cooperating individuals can also be a well-adapted character in its own right. The pattern generated by cooperative behaviour could distinguish one social group from another and could make the difference between group survival and communal death. Clearly, a cheat could sometimes obtain the benefits of the others’ cooperation without joining in itself. However, such actions would not be retained if individuals were unable to survive outside their own social group and the groups containing cheats were less likely to survive than those without. This logic does have some bearing on the way we think about ourselves.
At the turn of the 20th century an exiled Russian aristocrat and anarchist, Peter Kropotkin, wrote a classic book called Mutual Aid. He complained that, in the widespread acceptance of Darwin’s ideas, heavy emphasis had been laid on the cleansing role of social conflict and far too little attention given to the remarkable examples of cooperation. Even now, biological knowledge of symbiosis, reciprocity and mutualism has not yet percolated extensively into public discussions of human social behaviour.
As things stand, the appeal to biology is not to the coherent body of scientific thought that does exist but to a confused myth. It is a travesty of Darwinism to suggest that all that matters in social life is conflict. One individual may be more likely to survive because it is better suited to making its way about its environment and not because it is fiercer than others. Individuals may survive better when they join forces with others. By their joint actions they can frequently do things that one individual cannot do. Consequently, those that team up are more likely to survive than those that do not. Above all, social cohesion may become a critical condition for the survival of the society.
A straightforward message is, then, that each of us may live happier and, in the main, more successful lives, if we treat our fellow human beings as individuals with whom we can readily work. This is a rational rather than a moral argument. It should appeal to all those pragmatists who want to look after themselves. Cooperation is good business practice. However, another matter impinges on rampant individualism, which cannot be treated in a way that so readily generates agreement….”
A micro-democratic perspective on crowd-work
New paper by Karin Hansson: “Social media has provided governments with new means to improve efficiency and innovation, by engaging a crowd in the gathering and development of data. These collaborative processes are also described as a way to improve democracy by enabling a more transparent and deliberative democracy where citizens participate more directly in decision processes on different levels. However, the dominant research on the e-democratic field takes a government perspective rather then a citizen perspective. –democracy from the perspective of the individual actor, in a global context, is less developed.
In this paper I therefore develop a model for a democratic process outside the realm of the nation state, in a performative state where inequality is norm and the state is unclear and fluid. In this process e-participation means an ICT supported method to get a diversity of opinions and perspectives rather than one single. This micro perspective on democratic participation online might be useful for development of tools for more democratic online crowds…”
Innovating Practice in a Culture of Expertise
Aleem Walji at SSI Review: “When I joined the World Bank five years ago to lead a new innovation practice, the organization asked me to help expand the space for experimentation and learning with an emphasis on emergent technologies. But that mandate was intimidating and counter-intuitive in an “expert-driven” culture. Experts want detailed plans, budgets, clear success indicators, and minimal risk. But innovation is about managing risk and navigating uncertainty intelligently. You fail fast and fail forward. It has been a step-by-step process, and the journey is far from over, but the World Bank today sees innovation as essential to achieving its mission.
It’s taught me a lot about seeding innovation in a culture of expertise, including phasing change across approaches to technology, teaming, problem solving, and ultimately leadership.
Innovating technologies: As a newcomer, my goal was not to try to change the World Bank’s culture. I was content to carve out a space where my team could try new things we couldn’t do elsewhere in the institution, learn fast, and create impact. Our initial focus was leveraging technologies with approaches that, if they took root, could be very powerful.
Over the first 18 to 24 months, we served as an incubator for ideas and had a number of successes that built on senior management’s support for increased access to information. The Open Data Initiative, for example, made our trove of information on countries, people, projects, and programs widely available and searchable. To our surprise, people came in droves to access it. We also launched the Mapping for Results initiative, which mapped project results and poverty data to show the relationship between where we lend and where the poor live, and the results of our work. These programs are now mainstream at the World Bank and have penetrated other development institutions….
Innovating teams: The lab idea—phase two—would require collaboration and experimentation in an unprecedented way. For example, we worked with other parts of the World Bank and a number of outside organizations to incubate the Open Development Technology Alliance, now part of the digital engagement unit of the World Bank. It worked to enhance accountability, and improve the delivery and quality of public services through technology-enabled citizen engagement such as using mobile phones, interactive mapping, and social media to draw citizens into collective problem mapping and problem solving….
Innovating problem solving: At the same time, we recognized that we face some really complex problems that the World Bank’s traditional approach of lending to governments and supervising development projects is not solving. For this, we needed another type of lab that innovated the very way we solve problems. We needed a deliberate process for experimenting, learning, iterating, and adapting. But that’s easier said than done. At our core, we are an expert-driven organization with know-how in disciplines ranging from agricultural economics and civil engineering to maternal health and early childhood development. Our problem-solving architecture is rooted in designing technical solutions to complicated problems. Yet the hardest problems in the world defy technical fixes. We work in contexts where political environments shift, leaders change, and conditions on the ground constantly evolve. Problems like climate change, financial inclusion, food security, and youth unemployment demand new ways of solving old problems.
The innovation we most needed was innovation in the leadership architecture of how we confront complex challenges. We share knowledge and expertise on the “what” of reform, but the “how” is what we need most. We need to marry know-how with do-how. We need multiyear, multi-stakeholder, and systems approaches to solving problems. We need to get better at framing and reframing problems, integrative thinking, and testing a range of solutions. We need to iterate and course-correct as we learn what works and doesn’t work in which context. That’s where we are right now with what we call “integrated leadership learning innovation”—phase four. It’s all about shaping an innovative process to address complex problems….”
Can Government Mine Tweets to Assess Public Opinion?
The Urban Attitudes Lab at Tufts University has conducted research on accessing “big data” on social networking sites for civic purposes, according to Justin Hollander, associate professor in the Department of Urban and Environmental Policy and Planning at Tufts.
About six months ago, Hollander began researching new ways of accessing how people think about the places they live, work and play. “We’re looking to see how tapping into social media data to understand attitudes and opinions can benefit both urban planning and public policy,” he said.
Harnessing natural comments — there are about one billion tweets per day — could help governments learn what people are saying and feeling, said Hollander. And while formal types of data can be used as proxies for how happy people are, people openly share their sentiments on social networking sites.
Twitter and other social media sites can also provide information in an unobtrusive way. “The idea is that we can capture a potentially more valid and reliable view [of people’s] opinions about the world,” he said. As an inexact science, social science relies on a wide range of data sources to inform research, including surveys, interviews and focus groups; but people respond to being the subject of study, possibly affecting outcomes, Hollander said.
Hollander is also interested in extracting data from social sites because it can be done on a 24/7 basis, which means not having to wait for government to administer surveys, like the Decennial Census. Information from Twitter can also be connected to place; Hollander has approximated that about 10 percent of all tweets are geotagged to location.
In its first study earlier this year, the lab looked at using big data to learn about people’s sentiments and civic interests in New Bedford, Mass., comparing Twitter messages with the city’s published meeting minutes.
To extract tweets over a six-week period from February to April, researchers used the lab’s own software to capture 122,186 tweets geotagged within the city that also had words pertaining to the New Bedford area. Hollander said anyone can get API information from Twitter to also mine data from an area as small as a neighborhood containing a couple hundred houses.
Researchers used IBM’s SPSS Modeler software, comparing this to custom-designed software, to leverage a sentiment dictionary of nearly 3,000 words, assigning a sentiment score to each phrase — ranging from -5 for awful feelings to +5 for feelings of elation. The lab did this for the Twitter messages, and found that about 7 percent were positive versus 5.5 percent negative, and correspondingly in the minutes, 1.7 percent were positive and .7 percent negative. In total, about 11,000 messages contained sentiments.
The lab also used NVivo qualitative software to analyze 24 key words in a one-year sample of the city’s meeting minutes. By searching for the same words in Twitter posts, the researchers found that “school,” “health,” “safety,” “parks,” “field” and “children” were used frequently across both mediums.
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Next up for the lab is a new study contrasting Twitter posts from four Massachusetts cities with the recent election results.
We’re All Pirates Now
Book Review by Edward Kosner of “Information Doesn’t Want to Be Free”in the Wall Street Journal: “Do you feel like a thief when you click on a website link and find yourself reading an article or listening to a song you haven’t paid for? Should you? Are you annoyed when you can’t copy a movie you’ve paid for onto your computer’s hard drive? Should you be? Should copyright, conceived in England three centuries ago to protect writers from unscrupulous printers, apply the same way to creators and consumers in the digital age?
The sci-fi writer, blogger and general man-about-the-Web Cory Doctorow tries to answer some of these questions—and introduces others—in “Information Doesn’t Want to Be Free.” Billed as a guide for perplexed creators about how to make a living in the Internet Era, the book is actually a populist manifesto for the information revolution.
Mr. Doctorow is a confident and aphoristic writer—his book is like one long TED talk—and his basic advice to creators is easy to grasp: Aspiring novelists, journalists, musicians and other artists and would-be artists should recognize the Web as an unprecedented promotional medium rather than a revenue source. Creators, writes Mr. Doctorow, need to get known before they can expect to profit from their work. So they should welcome having their words, music or images reproduced online without permission to pave the way for a later payoff.
Even if they manage to make a name, he warns, they’re likely to be ripped off by the entertainment-industrial complex—big book publishers, record companies, movie studios, Google , Apple and Microsoft. But they can monetize their creativity by, among other things, selling tickets to public shows, peddling “swag”—T-shirts, ball caps, posters and recordings—and taking commissions for new work.

He cites the example of a painter named Molly Crabapple, who, inspired by the Occupy Wall Street movement, raised $55,000 on the crowdsourcing site Kickstarter, rented a storefront and created nine huge canvases, seven of which she sold for $8,000 each. Not the easiest way to become the next Jeff Koons, Taylor Swift or Gillian Flynn.
But Mr. Doctorow turns out to be less interested in mentoring unrealized talent than in promulgating a new regime for copyright regulation on the Internet. Copyright has been enshrined in American law since 1790, but computer technology, he argues, has rendered the concept obsolete: “We can’t stop copying on the Internet because the Internet is a copying machine.” And the whole debate, he complains, “is filled with lies, damn lies and piracy statistics.”
There’s lots of technical stuff here about digital locks—he calls devices like the Kindle “roach motels” that allow content to be loaded but never offloaded elsewhere—as well as algorithms, embedded keys and such. And the book is clotted with acronyms: A diligent reader who finishes this slim volume should be able to pass a test on the meaning of ACTA, WIPO, WPPT, WCT, DMCA, DNS, SOPA and PIPA, not to mention NaTD (techspeak for “Notice and Take Down”).
The gist of Mr. Doctorow’s argument is that the bad guys of the content game use copyright protection and antipiracy protocols not to help creators but to enrich themselves at the expense of the talent and the consumers of content. Similarly, he contends that the crusade against “net neutrality”—the principle that Internet carriers must treat all data and users the same way—is actually a ploy to elevate big players in the digital world by turning the rest of us into second-class Netizens.
“The future of the Internet,” he writes, “should not be a fight about whether Google (or Apple or Microsoft) gets to be in charge or whether Hollywood gets to be in charge. Left to their own devices, Big Tech and Big Content are perfectly capable of coming up with a position that keeps both ‘sides’ happy at the expense of everyone else.”…”
Good data make better cities
Stephen Goldsmith and Susan Crawford at the Boston Globe: “…Federal laws prevent sharing of information among state workers helping the same family. In one state’s public health agency, workers fighting obesity cannot receive information from another official inside the same agency assigned to a program aimed at fighting diabetes. In areas where citizens are worried about environmental justice, sensors collecting air quality information are feared — because they could monitor the movements of people. Cameras that might provide a crucial clue to the identity of a terrorist are similarly feared because they might capture images of innocent bystanders.
In order for the public to develop confidence that data tools work for its betterment, not against it, we have work to do. Leaders need to establish policies covering data access, retention, security, and transparency. Forensic capacity — to look back and see who had access to what for what reason — should be a top priority in the development of any data system. So too should clear consequences for data misuse by government employees.
If we get this right, the payoffs for democracy will be enormous. Data can provide powerful insights into the equity of public services and dramatically increase the effectiveness of social programs. Existing 311 digital systems can become platforms for citizen engagement rather than just channels for complaints. Government services can be graded by citizens and improved in response to a continuous loop of interaction. Cities can search through anonymized data in a huge variety of databases for correlations between particular facts and desired outcomes and then apply that knowledge to drive toward results — what can a city do to reduce rates of obesity and asthma? What bridges are in need of preventative maintenance? And repurposing dollars from ineffective programs and vendors to interventions that work will help cities be safer, cleaner, and more effective.
The digital revolution has finally reached inside the walls of city hall, making this the best time within living memory to be involved in local government. We believe that doing many small things right using data will build trust, making it more likely that citizens will support their city’s need to do big things — including addressing economic dislocation.
Data rules should genuinely protect individuals, not limit our ability to serve them better. When it comes to data, unreasoning fear is our greatest enemy…”
Measuring the Impact of Public Innovation in the Wild
Beth Noveck at Governing: “With complex, seemingly intractable problems such as inequality, climate change and affordable access to health care plaguing contemporary society, traditional institutions such as government agencies and nonprofit organizations often lack strategies for tackling them effectively and legitimately. For this reason, this year the MacArthur Foundation launched its Research Network on Opening Governance.
The Network, which I chair and which also is supported by Google.org, is what MacArthur calls a “research institution without walls.” It brings together a dozen researchers across universities and disciplines, with an advisory network of academics, technologists, and current and former government officials, to study new ways of addressing public problems using advances in science and technology.
Through regular meetings and collaborative projects, the Network is exploring, for example, the latest techniques for more open and transparent decision-making, the uses of data to transform how we govern, and the identification of an individual’s skills and experiences to improve collaborative problem-solving between government and citizen.
One of the central questions we are grappling with is how to accelerate the pace of research so we can learn better and faster when an innovation in governance works — for whom, in which contexts and under which conditions. With better methods for doing fast-cycle research in collaboration with government — in the wild, not in the lab — our hope is to be able to predict with accuracy, not just know after the fact, whether innovations such as opening up an agency’s data or consulting with citizens using a crowdsourcing platform are likely to result in real improvements in people’s lives.
An example of such an experiment is the work that members of the Network are undertaking with the Food and Drug Administration. As one of its duties, the FDA manages the process of pre-market approval of medical devices to ensure that patients and providers have timely access to safe, effective and high-quality technology, as well as the post-market review of medical devices to ensure that unsafe ones are identified and recalled from the market. In both of these contexts, the FDA seeks to provide the medical-device industry with productive, consistent, transparent and efficient regulatory pathways.
With thousands of devices, many of them employing cutting-edge technology, to examine each year, the FDA is faced with the challenge of finding the right internal and external expertise to help it quickly study a device’s safety and efficacy. Done right, lives can be saved and companies can prosper from bringing innovations quickly to market. Done wrong, bad devices can kill…”
Off the map
The Economist: “Rich countries are deluged with data; developing ones are suffering from drought…
AFRICA is the continent of missing data. Fewer than half of births are recorded; some countries have not taken a census in several decades. On maps only big cities and main streets are identified; the rest looks as empty as the Sahara. Lack of data afflicts other developing regions, too. The self-built slums that ring many Latin American cities are poorly mapped, and even estimates of their population are vague. Afghanistan is still using census figures from 1979—and that count was cut short after census-takers were killed by mujahideen.
As rich countries collect and analyse data from as many objects and activities as possible—including thermostats, fitness trackers and location-based services such as Foursquare—a data divide has opened up. The lack of reliable data in poor countries thwarts both development and disaster-relief. When Médecins Sans Frontières (MSF), a charity, moved into Liberia to combat Ebola earlier this year, maps of the capital, Monrovia, fell far short of what was needed to provide aid or track the disease’s spread. Major roads were marked, but not minor ones or individual buildings.
Poor data afflict even the highest-profile international development effort: the Millennium Development Goals (MDGs). The targets, which include ending extreme poverty, cutting infant mortality and getting all children into primary school, were set by UN members in 2000, to be achieved by 2015. But, according to a report by an independent UN advisory group published on November 6th, as the deadline approaches, the figures used to track progress are shaky. The availability of data on 55 core indicators for 157 countries has never exceeded 70%, it found (see chart)….
Some of the data gaps are now starting to be filled from non-government sources. A volunteer effort called Humanitarian OpenStreetMap Team (HOT) improves maps with information from locals and hosts “mapathons” to identify objects shown in satellite images. Spurred by pleas from those fighting Ebola, the group has intensified its efforts in Monrovia since August; most of the city’s roads and many buildings have now been filled in (see maps). Identifying individual buildings is essential, since in dense slums without formal roads they are the landmarks by which outbreaks can be tracked and assistance targeted.
On November 7th a group of charities including MSF, Red Cross and HOT unveiled MissingMaps.org, a joint initiative to produce free, detailed maps of cities across the developing world—before humanitarian crises erupt, not during them. The co-ordinated effort is needed, says Ivan Gayton of MSF: aid workers will not use a map with too little detail, and are unlikely, without a reason, to put work into improving a map they do not use. The hope is that the backing of large charities means the locals they work with will help.
In Kenya and Namibia mobile-phone operators have made call-data records available to researchers, who have used them to combat malaria. By comparing users’ movements with data on outbreaks, epidemiologists are better able to predict where the disease might spread. mTrac, a Ugandan programme that replaces paper reports from health workers with texts sent from their mobile phones, has made data on medical cases and supplies more complete and timely. The share of facilities that have run out of malaria treatments has fallen from 80% to 15% since it was introduced.
Private-sector data are also being used to spot trends before official sources become aware of them. Premise, a startup in Silicon Valley that compiles economics data in emerging markets, has found that as the number of cases of Ebola rose in Liberia, the price of staple foods soared: a health crisis risked becoming a hunger crisis. In recent weeks, as the number of new cases fell, prices did, too. The authorities already knew that travel restrictions and closed borders would push up food prices; they now have a way to measure and track price shifts as they happen….”
Principles for 21st Century Government
Dan Hon at Code for America: “I’m proud to share the beta of our principles for 21st century government. In this update, we’ve incorporated feedback we received from the 2014 Summit, as well as work from the U.S. Digital Service and Gov.UK that we think applies to the problems faced by local governments.
In the last few decades, the combination of agile and lean ways of working with digital technology and the internet have allowed businesses to serve people’s needs better than ever before. When people interact with their government though, it’s clear that their expectations aren’t being met.
Part of our work at Code for America is to make building digital government easy to understand and easy to copy.
We believe these seven principles help governments understand the values required to build digital government. They are critical for governments of any size or structure to deliver more effective, efficient, and inclusive services to their community. We’ve seen their importance over the last four years, in 32 Fellowship cities big and small across America, and in conversation with those around the world who have been transforming government.
In the past, we’ve described these concepts as “capabilities” — the abilities of governments to work or act in a certain way. But we have realised that there is something more fundamental than just the ability to work or act in a certain way.
We call these principles because it is only when governments agree to, follow, and adopt them at every level, that governments genuinely change and improve the way they work. Together, they provide a clear sense of direction that can then be acted upon….”
Open Elections
“Welcome to OpenElections Our goal is to create the first free, comprehensive, standardized, linked set of election data for the United States, including federal and statewide offices. No freely available comprehensive source of official election results exists. The current options for election data can be difficult to find and use or financially out-of-reach for most journalists and civic hackers. We want the people who work with election data to be able to get what they need, whether that’s a CSV file for stories and data analysis or JSON usable for web applications and interactive graphics. OpenElections is generously supported by the John S. and James L. Knight Foundation’s Knight News Challenge.”