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….”
How to use the Internet to end corrupt deals between companies and governments
at the Thomson Reuters Foundation: “Every year governments worldwide spend more than $9.5 trillion on public goods and services, but finding out who won those contracts, why and whether they deliver as promised is largely invisible.
Enter the Open Contracting Data Standard (OCDS).
Canada, Colombia, Costa Rica and Paraguay became the first countries to announce on Tuesday that they have adopted the new global standards for publishing contracts online as part of a project to shine a light on how public money is spent and to combat massive corruption in public procurement.
“The mission is to end secret deals between companies and governments,” said Gavin Hayman, the incoming executive director for Open Contracting Partnership.
The concept is simple. Under Open Contracting, the government publishes online the projects it is putting out for bid and the terms; companies submit bids online; the winning contract is published including the reasons why; and then citizens can monitor performance according to the terms of the contract.
The Open Contracting initiative, developed by the World Wide Web Foundation with the support of the World Bank and Omidyar Network, has been several years in the making and is part of a broader global movement to increase the accountability of governments by using Internet technologies to make them more transparent.
A pioneer in data transparency was the Extractive Industries Transparency Initiative, a global coalition of governments, companies and civil society that works on improving accountability by publishing the revenues received in 35 member countries for their natural resources.
Publish What You Fund is a similar initiative for the aid industry. It delivered a common open standards in 2011 for donor countries to publish how much money they gave in development aid and details of what projects that money funded and where.
There’s also the Open Government Partnership, an international forum of 65 countries, each of which adopts an action plan laying out how it will improve the quality of government through collaboration with civil society, frequently using new technologies.
All of these initiatives have helped crack open the door of government.
What’s important about Open Contracting is the sheer scale of impact it could have. Public procurement accounts for about 15 percent of global GDP and according to Anne Jellema, CEO of the World Wide Web Foundation which seeks to expand free access to the web worldwide and backed the OCDS project, corruption adds an estimated $2.3 trillion to the cost of those contracts every year.
A study by the Center for Global Development, a Washington-based think tank, looked at four countries already publishing their contracts online — the United Kingdom, Georgia, Colombia and Slovakia. It found open contracting increased visibility and encouraged more companies to submit bids, the quality and price competitiveness improved and citizen monitoring meant better service delivery….”
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….”
Research Handbook On Transparency
New book edited by Padideh Ala’i and Robert G. Vaughn: ‘”Transparency” has multiple, contested meanings. This broad-ranging volume accepts that complexity and thoughtfully contrasts alternative views through conceptual pieces, country cases, and assessments of policies–such as freedom of information laws, whistleblower protections, financial disclosure, and participatory policymaking procedures.’
– Susan Rose-Ackerman, Yale University Law School, US
In the last two decades transparency has become a ubiquitous and stubbornly ambiguous term. Typically understood to promote rule of law, democratic participation, anti-corruption initiatives, human rights, and economic efficiency, transparency can also legitimate bureaucratic power, advance undemocratic forms of governance, and aid in global centralization of power. This path-breaking volume, comprising original contributions on a range of countries and environments, exposes the many faces of transparency by allowing readers to see the uncertainties, inconsistencies and surprises contained within the current conceptions and applications of the term….
The expert contributors identify the goals, purposes and ramifications of transparency while presenting both its advantages and shortcomings. Through this framework, they explore transparency from a number of international and comparative perspectives. Some chapters emphasize cultural and national aspects of the issue, with country-specific examples from China, Mexico, the US and the UK, while others focus on transparency within global organizations such as the World Bank and the WTO. A number of relevant legal considerations are also discussed, including freedom of information laws, financial disclosure of public officials and whistleblower protection…”
Ambulance Drone is a flying first aid kit that could save lives
Springwise: “When a medical emergency takes place, the response time can make all the difference between a life saved and a life lost. Unfortunately, ambulances can get stuck in traffic and on average they arrive 10 minutes after the emergency call has been made, in which time a cardiac arrest victim may have already succumbed to a lack of oxygen to the brain. We’ve already seen Germany’s Defikopter use drones to ensure defibrillators are on scene by the time a medical professional arrives, but now the Ambulance Drone is an all-purpose medical toolkit that can be automatically flown to any emergency situation and used to guide citizens to make non-technical lifesaving procedures.
Created by Alex Monton, a graduate of the Delft University of Technology, the drone is custom designed to deliver in the event of an emergency. Inside, it houses a compact defibrillator, medication and CPR aids, as well as other essential supplies for the layperson to use while they wait for a medical professional. The idea is that those at the scene can phone emergency services as normal, giving their location. An ambulance and the Ambulance Drone are despatched immediately, with the drone capable of arriving in around 1 minute.
Once it’s there, the call can be transferred to the drone, which has in-built speakers. This frees the caller’s hands to perform tasks such as placing the victim in the recovery position and preparing the defibrillator, with vocal guidance from the emergency response team. The team can see live video of the event to make sure that any procedures are completed correctly, as well as passing on relevant info to the approaching ambulance…”
Taproot Foundation Starts Online Matchmaker for Charities Seeking Pro Bono Help
Nicole Wallace at the Chronicle of Philanthropy: “The Taproot Foundation has created an online marketplace it hopes will become the Match.com of pro bono, linking skilled volunteers with nonprofits that need assistance in areas like marketing, database design, and strategic planning.
The new site, Taproot+, allows nonprofits to describe projects needing help. Taproot Foundation employees will review proposals and help improve any unclear project descriptions….
People looking to share their skills can browse projects on the site. Some charities ask for in-person help, while other projects can use volunteers working remotely. In some cases, Taproot will post the projects on sites run by partner organizations, like the LinkedIn for Volunteers, to help find the right volunteer. As the site grows, the group plans to work closely with other pro bono organizations, like NPower and DataKind.
“We want to make sure that we’re helping on the front end,” says Ms. Hamburg. “But once that project description is created, we want to make sure that the nonprofit is accessing the best talent out there, no matter where it is.
After a nonprofit and pro bono volunteer agree to work together, Taproot+ helps them plan the steps of the project and set deadlines for milestones, which are tracked on the site…”
Ebola and big data: Call for help
The Economist: “WITH at least 4,500 people dead, public-health authorities in west Africa and worldwide are struggling to contain Ebola. Borders have been closed, air passengers screened, schools suspended. But a promising tool for epidemiologists lies unused: mobile-phone data.
When people make mobile-phone calls, the network generates a call data record (CDR) containing such information as the phone numbers of the caller and receiver, the time of the call and the tower that handled it—which gives a rough indication of the device’s location. This information provides researchers with an insight into mobility patterns. Indeed phone companies use these data to decide where to build base stations and thus improve their networks, and city planners use them to identify places to extend public transport.
But perhaps the most exciting use of CDRs is in the field of epidemiology. Until recently the standard way to model the spread of a disease relied on extrapolating trends from census data and surveys. CDRs, by contrast, are empirical, immediate and updated in real time. You do not have to guess where people will flee to or move. Researchers have used them to map malaria outbreaks in Kenya and Namibia and to monitor the public response to government health warnings during Mexico’s swine-flu epidemic in 2009. Models of population movements during a cholera outbreak in Haiti following the earthquake in 2010 used CDRs and provided the best estimates of where aid was most needed.
Doing the same with Ebola would be hard: in west Africa most people do not own a phone. But CDRs are nevertheless better than simulations based on stale, unreliable statistics. If researchers could track population flows from an area where an outbreak had occurred, they could see where it would be likeliest to break out next—and therefore where they should deploy their limited resources. Yet despite months of talks, and the efforts of the mobile-network operators’ trade association and several smaller UN agencies, telecoms firms have not let researchers use the data (see article).
One excuse is privacy, which is certainly a legitimate worry, particularly in countries fresh from civil war, or where tribal tensions exist. But the phone data can be anonymised and aggregated in a way that alleviates these concerns. A bigger problem is institutional inertia. Big data is a new field. The people who grasp the benefits of examining mobile-phone usage tend to be young, and lack the clout to free them for research use.”
Chicago uses big data to save itself from urban ills
Aviva Rutkin in the New Scientist: “THIS year in Chicago, some kids will get lead poisoning from the paint or pipes in their homes. Some restaurants will cook food in unsanitary conditions and, here and there, a street corner will be suddenly overrun with rats. These kinds of dangers are hard to avoid in a city of more than 2.5 million people. The problem is, no one knows for certain where or when they will pop up.
The Chicago city government is hoping to change that by knitting powerful predictive models into its everyday city inspections. Its latest project, currently in pilot tests, analyses factors such as home inspection records and census data, and uses the results to guess which buildings are likely to cause lead poisoning in children – a problem that affects around 500,000 children in the US each year. The idea is to identify trouble spots before kids are exposed to dangerous lead levels.
“We are able to prevent problems instead of just respond to them,” says Jay Bhatt, chief innovation officer at the Chicago Department of Public Health. “These models are just the beginning of the use of predictive analytics in public health and we are excited to be at the forefront of these efforts.”
Chicago’s projects are based on the thinking that cities already have what they need to raise their municipal IQ: piles and piles of data. In 2012, city officials built WindyGrid, a platform that collected data like historical facts about buildings and up-to-date streams such as bus locations, tweets and 911 calls. The project was designed as a proof of concept and was never released publicly but it led to another, called Plenario, that allowed the public to access the data via an online portal.
The experience of building those tools has led to more practical applications. For example, one tool matches calls to the city’s municipal hotline complaining about rats with conditions that draw rats to a particular area, such as excessive moisture from a leaking pipe, or with an increase in complaints about garbage. This allows officials to proactively deploy sanitation crews to potential hotspots. It seems to be working: last year, resident requests for rodent control dropped by 15 per cent.
Some predictions are trickier to get right. Charlie Catlett, director of the Urban Center for Computation and Data in Chicago, is investigating an old axiom among city cops: that violent crime tends to spike when there’s a sudden jump in temperature. But he’s finding it difficult to test its validity in the absence of a plausible theory for why it might be the case. “For a lot of things about cities, we don’t have that underlying theory that tells us why cities work the way they do,” says Catlett.
Still, predictive modelling is maturing, as other cities succeed in using it to tackle urban ills….Such efforts can be a boon for cities, making them more productive, efficient and safe, says Rob Kitchin of Maynooth University in Ireland, who helped launched a real-time data site for Dublin last month called the Dublin Dashboard. But he cautions that there’s a limit to how far these systems can aid us. Knowing that a particular street corner is likely to be overrun with rats tomorrow doesn’t address what caused the infestation in the first place. “You might be able to create a sticking plaster or be able to manage it more efficiently, but you’re not going to be able to solve the deep structural problems….”
Innovation in Philanthropy is not a Hack-a-thon
Sam McAfee in Medium: “…Antiquated funding models and lack of a rapid data-driven evaluation process aren’t the only issues though. Most of the big ideas in the technology-for-social-impact space are focused either on incremental improvements to existing service models, maybe leveraging online services or mobile applications to improve cost-efficiency marginally. Or they solve only a very narrow niche problem for a small audience, often applying a technology that was already in development, and just happened to find a solution in the field.
Innovation Requires Disruption
When you look at innovation in the commercial world, like the Ubers and AirBnBs of the world, what you see is a clear and substantive break from previous modes of thinking about transportation and accommodation. And it’s not the technology itself that is all that impressive. There is nothing ground-breaking technically under the hood of either of those products that wasn’t already lying around for a decade. What makes them different is that they created business models that stepped completely out of the existing taxi and hotel verticals, and simply used technology to leverage existing frustrations with those antiquated models and harness latent demands, to produce a new, vibrant commercial ecosystem.
Now, let’s imagine the same framework in the social sector, where there are equivalent long-standing traditional modes of providing resources. To find new ways of meeting human needs that disrupt those models requires both safe-to-fail experimentation and rapid feedback and iteration in the field, with clear success criteria. Such rapid development can only be accomplished by a sharp, nimble and multifaceted team of thinkers and doers who are passionate about the problem, yes, but also empowered and enabled to break a few institutional eggs on the way to the creative omelet.
Agile and Lean are Proven Methods
It turns out that there are proven working models for cultivating and fostering this kind of innovative thinking and experimentation. As I mentioned above, agile and lean are probably the single greatest contribution to the world by the tech sector, far more impactful than any particular technology produced by it. Small, cross-functional teams working on tight, iterative timeframes, using an iterative data-informed methodology, can create new and disruptive solutions to big, difficult problems. They are able to do this precisely because they are unhindered by the hulking bureaucratic structures of the old guard. This is precisely why so many Fortune 500 companies are experimenting with innovation and R&D laboratories. Because they know their existing staff, structures, and processes cannot produce innovation within those constraints. Only the small, nimble teams can do it, and they can only do it if they are kept separate from, protected from even, the traditional production systems of the previous product cycle.
Yet big philanthropy still have barely experimented with this model, only trying it in a few isolated instances. Here at Neo, for example, we are working on a project for teachers funded by a forward-thinking foundation. What our client is trying to disrupt is no less than the entire US education system, and with goals and measurements developed by teachers for teachers, not by Silicon Valley hotshots who have no clue how to fix education.
Small, cross-functional teams working on tight, iterative timeframes, using an iterative data-informed methodology, can create new and disruptive solutions to big, difficult problems.
To start with, the project was funded in iterations of six-weeks at a time, each with a distinct and measurable goal. We built a small cross-functional team to tackle some of the tougher issues faced by teachers trying to raise the level of excellence in their classrooms. The team was empowered to talk directly to teachers, and incorporate their feedback into new versions of the project, released on almost a daily basis. We have iterated the design more than sixteen times in less then four months, and it’s starting to really take shape.
We have no idea whether this particular project will be successful in the long run. But what we do know is that the client and their funder have had the courage to step out of the traditional project funding models and apply agile and lean thinking to a very tough problem. And we’re proud to be invited along for the ride.
The vast majority of the social sector is still trying to tackle social problems with program and funding models that were pioneered early in the last century. Agile and lean methods hold the key to finally breaking the mold of the old, traditional model of resourcing social change initiatives. The philanthropic community should be interested in the agile and lean methods produced by the technology sector, not the money produced by it, and start reorganizing project teams and resource allocation strategies and timelines in line this proven innovation model.
Only then we will be in a position to really innovate for social change.”
The Power of Data Analytics to Transform Government
Hugo Moreno at Forbes: “It’s mind boggling to consider the amount of information governments collect on their citizens. We often just expect them to manage and analyze it in a way that will benefit the general public and facilitate government transparency. However, it can be difficult to organize, manage and extract insights from these large, diverse data sets. According to “Analytics Paves the Way for Better Government,” a Forbes Insights case study sponsored by SAP, government leaders have called for investment in Big Data analytics capabilities to modernize government services and aid their economies. State and federal governments have begun to recognize the benefits of applying analytics. In fact, McKinsey & Co. estimates that by digitizing information, disseminating public data sets and applying analytics to improve decision making, governments around the world can act as catalysts for more than $3 trillion in economic value.
Governor Mike Pence of Indiana understands the importance of data and is keeping it at the center of his long-term vision for improving the management and effectiveness of government programs and making Indiana a leader in data-driven decision making. A year after taking office, he ordered state agencies to collaborate and share data to improve services. Data sharing is not a common practice in states, but the governor recognized that sharing data will lead to a successful enterprise.
Insights from analytics will help Indiana pursue six public policy goals: Increase private sector employment; attract new investment to the state; improve the quality of the state’s workforce; improve the health, safety and well-being of families; increase high school graduation rates; and improve the math and reading skills of elementary students….”