How disaster relief efforts could be improved with game theory


 in The Conversation: “The number of disasters has doubled globally since the 1980s, with the damage and losses estimated at an average US$100 billion a year since the new millennium, and the number of people affected also growing.

Hurricane Katrina in 2005 was the costliest natural disaster in the U.S., with estimates between $100 billion and $125 billion. The death toll of Katrina is still being debated, but we know that at least 2,000 were killed, and thousands were left homeless.

Worldwide, the toll is staggering. The triple disaster of an earthquake, tsunami and nuclear meltdown that started March 11, 2011 in Fukushima, Japan killed thousands, as did the 2010 Haiti earthquake.

The challenges to disaster relief organizations, including nongovernmental organizations (NGOs), are immense. The majority operate under a single, common, humanitarian principle of protecting the vulnerable, reducing suffering and supporting the quality of life. At the same time, they need to compete for financial funds from donors to ensure their own sustainability.

This competition is intense. The number of registered U.S. nonprofit organizations increased from 12,000 in 1940 to more than 1.5 million in 2012. Approximately $300 billion are donated to charities in the United States each year.

At the same time, many stakeholders believe that humanitarian aid has not been as successful in delivering on its goals due to a lack of coordination among NGOs, which results in duplication of services.

My team and I have been looking at a novel way to improve how we respond to natural disasters. One solution might be game theory.

Getting the right supplies to those in need is daunting

The need for improvement is strong.

Within three weeks following the 2010 earthquake in Haiti, 1,000 NGOs were operating in Haiti. News media attention of insufficient water supplies resulted in immense donations to the Dominican Red Cross to assist its island neighbor. As a result, Port-au-Prince was saturated with cargo and gifts-in-kind, so that shipments from the Dominican Republic had to be halted for multiple days. After the Fukushima disaster, there were too many blankets and items of clothing shipped and even broken bicycles.

In fact, about 60 percent of the items that arrive at a disaster site are nonpriority items. Rescue workers then waste precious time dealing with these nonpriority supplies, whereas victims suffer because they do not receive the critical needs supplies in a timely manner.

The delivery and processing of wrong supplies also adds to the congestion at transportation and distribution nodes, overwhelms storage capabilities and results in further delays of necessary items. The flood of donated inappropriate materiel in response to a disaster is often referred to as the second disaster.

The economics of disaster relief, on the supply side, is challenged as people need to secure donations and ensure the financial sustainability of their organizations. On the demand side, the victims’ needs must be fulfilled in a timely manner while avoiding wasteful duplication and congestion in terms of logistics.

Game theory in disasters

Game theory is a powerful tool for the modeling and analysis of complex behaviors of competing decision-makers. It received a tremendous boost from the contributions of the Nobel laureate John Nash.

Game theory has been used in numerous disciplines, from economics, operations research and management science, to even political science.

In the context of disaster relief, however, there has been little work done in harnessing the scope of game theory. It is, nevertheless, clear that disaster relief organizations compete for financial funds and donors respond to the visibility of the organizations in the delivery of relief supplies to victims through media coverage of disasters….(More)”

Recovering from disasters: Social networks matter more than bottled water and batteries


 at The Conversation: “Almost six years ago, Japan faced a paralyzing triple disaster: a massive earthquake, tsunami, and nuclear meltdowns that forced 470,000 people to evacuate from more than 80 towns, villages and cities. My colleagues and I investigated how communities in the hardest-hit areas reacted to these shocks, and found that social networks – the horizontal and vertical ties that connect us to others – are our most important defense against disasters….

We studied more than 130 cities, towns and villages in Tohoku, looking at factors such as exposure to the ocean, seawall height, tsunami height, voting patterns, demographics, and social capital. We found that municipalities which had higher levels of trust and interaction had lower mortality levels after we controlled for all of those confounding factors.

The kind of social tie that mattered here was horizontal, between town residents. It was a surprising finding given that Japan has spent a tremendous amount of money on physical infrastructure such as seawalls, but invested very little in building social ties and cohesion.

Based on interviews with survivors and a review of the data, we believe that communities with more ties, interaction and shared norms worked effectively to provide help to kin, family and neighbors. In many cases only 40 minutes separated the earthquake and the arrival of the tsunami. During that time, residents literally picked up and carried many elderly people out of vulnerable, low-lying areas. In high-trust neighborhoods, people knocked on doors of those who needed help and escorted them out of harm’s way….

In another study I worked to understand why some 40 cities, towns and villages across the Tohoku region had rebuilt, put children back into schools and restarted businesses at very different rates over a two-year period. Two years after the disasters some communities seemed trapped in amber, struggling to restore even half of their utility service, operating businesses and clean streets. Other cities had managed to rebound completely, placing evacuees in temporary homes, restoring gas and water lines, and clearing debris.

To understand why some cities were struggling, I looked into explanations including the impact of the disaster, the size of the city, financial independence, horizontal ties between cities, and vertical ties from the community to power brokers in Tokyo. In this phase of the recovery, vertical ties were the best predictor of strong recoveries.

Communities that had sent more powerful senior representatives to Tokyo in the years before the disaster did the best. These politicians and local ambassadors helped to push the bureaucracy to send aid, reach out to foreign governments for assistance, and smooth the complex zoning and bureaucratic impediments to recovery…

As communities around the world face disasters more and more frequently, I hope that my research on Japan after 3.11 can provide guidance to residents facing challenges. While physical infrastructure is important for mitigating disaster, communities should also invest time and effort in building social ties….(More)”

State of Open Corporate Data: Wins and Challenges Ahead


Sunlight Foundation: “For many people working to open data and reduce corruption, the past year could be summed up in two words: “Panama Papers.” The transcontinental investigation by a team from International Center of Investigative Journalists (ICIJ) blew open the murky world of offshore company registration. It put corporate transparency high on the agenda of countries all around the world and helped lead to some notable advances in access to official company register data….

While most companies are created and operated for legitimate economic activity,  there is a small percentage that aren’t. Entities involved in corruption, money laundering, fraud and tax evasion frequently use such companies as vehicles for their criminal activity. “The Idiot’s Guide to Money Laundering from Global Witness” shows how easy it is to use layer after layer of shell companies to hide the identity of the person who controls and benefits from the activities of the network. The World Bank’s “Puppet Masters” report found that over 70% of grand corruption cases, in fact, involved the use of offshore vehicles.

For years, OpenCorporates has advocated for company information to be in the public domain as open data, so it is usable and comparable.  It was the public reaction to Panama Papers, however, that made it clear that due diligence requires global data sets and beneficial registries are key for integrity and progress.

The call for accountability and action was clear from the aftermath of the leak. ICIJ, the journalists involved and advocates have called for tougher action on prosecutions and more transparency measures: open corporate registers and beneficial ownership registers. A series of workshops organized by the B20 showed that business also needed public beneficial ownership registers….

Last year the UK became the first country in the world to collect and publish who controls and benefits from companies in a structured format, and as open data. Just a few days later, we were able to add the information in OpenCorporates. The UK data, therefore, is one of a kind, and has been highly anticipated by transparency skeptics and advocates advocates alike. So fa,r things are looking good. 15 other countries have committed to having a public beneficial ownership register including Nigeria, Afghanistan, Germany, Indonesia, New Zealand and Norway. Denmark has announced its first public beneficial ownership data will be published in June 2017. It’s likely to be open data.

This progress isn’t limited to beneficial ownership. It is also being seen in the opening up of corporate registers . These are what OpenCorporates calls “core company data”. In 2016, more countries started releasing company register as open data, including Japan, with over 4.4 million companies, IsraelVirginiaSloveniaTexas, Singapore and Bulgaria. We’ve also had a great start to 2017 , with France publishing their central company database as open data on January 5th.

As more states have embracing open data, the USA jumped from average score of 19/100 to 30/100. Singapore rose from 0 to 20. The Slovak Republic from 20 to 40. Bulgaria wet from 35 to 90.  Japan rose from 0 to 70 — the biggest increase of the year….(More)”

Open Data Inventory 2016


Open Data Watch is pleased to announce the release of the 2016 Open Data Inventory (ODIN). The new ODIN results provide a comprehensive review of the coverage and openness of official statistics in 173 countries around the world, including most OECD countries.  Featuring a methodology updated to reflect the latest international open data standards, ODIN 2016 results are fully available online at odin.opendatawatch.com, including interactive functions to compare year-to-year results from 122 countries.

ODIN assesses the coverage and openness of data provided on the websites maintained by national statistical offices (NSOs). The overall ODIN score is an indicator of how complete and open an NSO’s data offerings are. In addition to ratings of coverage and openness in twenty statistical categories, ODIN assessments provide the online location of key indicators in each data category, permitting quick access to hundreds of indicators.

ODIN 2016 Top Scores Reveal Gaps Between Openness and Coverage

In the 2016 round, the top scores went to high-income and OECD countries. Sweden was ranked first overall with a score of 81. Sweden was also the most open site, with an openness score of 91. Among non-OECD countries, the highest rank was Lithuania with an overall score of 77. Among non-high-income countries, Mexico again earned the highest ranking with a score of 67, followed by the lower-middle-income economies of Mongolia (61), and Moldova (59). Among low-income countries, Rwanda received the highest score of 55. ODIN overall scores are scaled from 0 to 100 and provide equal weighting for social, economic, and environmental statistics….

The new ODIN website allows users to compare and download scores for 2015 and 2016….(More)”

The Emergence of a Post-Fact World


Francis Fukuyama in Project Syndicate: “One of the more striking developments of 2016 and its highly unusual politics was the emergence of a “post-fact” world, in which virtually all authoritative information sources were called into question and challenged by contrary facts of dubious quality and provenance.

The emergence of the Internet and the World Wide Web in the 1990s was greeted as a moment of liberation and a boon for democracy worldwide. Information constitutes a form of power, and to the extent that information was becoming cheaper and more accessible, democratic publics would be able to participate in domains from which they had been hitherto excluded.

The development of social media in the early 2000s appeared to accelerate this trend, permitting the mass mobilization that fueled various democratic “color revolutions” around the world, from Ukraine to Burma (Myanmar) to Egypt. In a world of peer-to-peer communication, the old gatekeepers of information, largely seen to be oppressive authoritarian states, could now be bypassed.

While there was some truth to this positive narrative, another, darker one was also taking shape. Those old authoritarian forces were responding in dialectical fashion, learning to control the Internet, as in China, with its tens of thousands of censors, or, as in Russia, by recruiting legions of trolls and unleashing bots to flood social media with bad information. These trends all came together in a hugely visible way during 2016, in ways that bridged foreign and domestic politics….

The traditional remedy for bad information, according to freedom-of-information advocates, is simply to put out good information, which in a marketplace of ideas will rise to the top. This solution, unfortunately, works much less well in a social-media world of trolls and bots. There are estimates that as many as a third to a quarter of Twitter users fall into this category. The Internet was supposed to liberate us from gatekeepers; and, indeed, information now comes at us from all possible sources, all with equal credibility. There is no reason to think that good information will win out over bad information….

The inability to agree on the most basic facts is the direct product of an across-the-board assault on democratic institutions – in the US, in Britain, and around the world. And this is where the democracies are headed for trouble. In the US, there has in fact been real institutional decay, whereby powerful interest groups have been able to protect themselves through a system of unlimited campaign finance. The primary locus of this decay is Congress, and the bad behavior is for the most part as legal as it is widespread. So ordinary people are right to be upset.

And yet, the US election campaign has shifted the ground to a general belief that everything has been rigged or politicized, and that outright bribery is rampant. If the election authorities certify that your favored candidate is not the victor, or if the other candidate seemed to perform better in a debate, it must be the result of an elaborate conspiracy by the other side to corrupt the outcome. The belief in the corruptibility of all institutions leads to a dead end of universal distrust. American democracy, all democracy, will not survive a lack of belief in the possibility of impartial institutions; instead, partisan political combat will come to pervade every aspect of life….(More)”

Data capitalism is cashing in on our privacy . . . for now


John Thornhill in the Financial Times: “The buzz at last week’s Consumer Electronics Show in Las Vegas was all about connectivity and machine learning. …The primary effect of these consumer tech products seems limited — but we will need to pay increasing attention to the secondary consequences of these connected devices. They are just the most visible manifestation of a fundamental transformation that is likely to shape our societies far more than Brexit, Donald Trump or squabbles over the South China Sea. It concerns who collects, owns and uses data. The subject of data is so antiseptic that it seldom generates excitement. To make it sound sexy, some have described data as the “new oil”, fuelling our digital economies. In reality, it is likely to prove far more significant than that. Data are increasingly determining economic value, reshaping the practice of power and intruding into the innermost areas of our lives. Some commentators have suggested that this transformation is so profound that we are moving from an era of financial capitalism into one of data capitalism. The Israeli historian Yuval Noah Harari even argues that Dataism, as he calls it, can be compared with the birth of a religion, given the claims of its most fervent disciples to provide universal solutions. …

Sir Nigel Shadbolt, co-founder of the Open Data Institute, argues in a recent FT TechTonic podcast that it is too early to give up on privacy…The next impending revolution, he argues, will be about giving consumers control over their data. Considering the increasing processing power and memory capacity of smartphones, he believes new models of data collection and more localised use may soon gain traction. One example is the Blue Button service used by US veterans, which allows individuals to maintain and update their medical records. “That has turned out to be a really revolutionary step,” he says. “I think we are going to see a lot more of that kind of re-empowering.” According to this view, we can use data to create a far smarter world without sacrificing precious rights. If we truly believe in such a benign future, we had better hurry up and invent it….(More)”

Four steps to precision public health


Scott F. DowellDavid Blazes & Susan Desmond-Hellmann at Nature: “When domestic transmission of Zika virus was confirmed in the United States in July 2016, the entire country was not declared at risk — nor even the entire state of Florida. Instead, precise surveillance defined two at-risk areas of Miami-Dade County, neighbourhoods measuring just 2.6 and 3.9 square kilometres. Travel advisories and mosquito control focused on those regions. Six weeks later, ongoing surveillance convinced officials to lift restrictions in one area and expand the other.

By contrast, a campaign against yellow fever launched this year in sub-Saharan Africa defines risk at the level of entire nations, often hundreds of thousands of square kilometres. More granular assessments have been deemed too complex.

The use of data to guide interventions that benefit populations more efficiently is a strategy we call precision public health. It requires robust primary surveillance data, rapid application of sophisticated analytics to track the geographical distribution of disease, and the capacity to act on such information1.

The availability and use of precise data is becoming the norm in wealthy countries. But large swathes of the developing world are not reaping its advantages. In Guinea, it took months to assemble enough data to clearly identify the start of the largest Ebola outbreak in history. This should take days. Sub-Saharan Africa has the highest rates of childhood mortality in the world; it is also where we know the least about causes of death…..

The value of precise disease tracking was baked into epidemiology from the start. In 1854, John Snow famously located cholera cases in London. His mapping of the spread of infection through contaminated water dealt a blow to the idea that the disease was caused by bad air. These days, people and pathogens move across the globe swiftly and in great numbers. In 2009, the H1N1 ‘swine flu’ influenza virus took just 35 days to spread from Mexico and the United States to China, South Korea and 12 other countries…

The public-health community is sharing more data faster; expectations are higher than ever that data will be available from clinical trials and from disease surveillance. In the past two years, the US National Institutes of Health, the Wellcome Trust in London and the Gates Foundation have all instituted open data policies for their grant recipients, and leading journals have declared that sharing data during disease emergencies will not impede later publication.

Meanwhile, improved analysis, data visualization and machine learning have expanded our ability to use disparate data sources to decide what to do. A study published last year4 used precise geospatial modelling to infer that insecticide-treated bed nets were the single most influential intervention in the rapid decline of malaria.

However, in many parts of the developing world, there are still hurdles to the collection, analysis and use of more precise public-health data. Work towards malaria elimination in South Africa, for example, has depended largely on paper reporting forms, which are collected and entered manually each week by dozens of subdistricts, and eventually analysed at the province level. This process would be much faster if field workers filed reports from mobile phones.

Sources: Ref. 8/Bill & Melinda Gates Foundation

…Frontline workers should not find themselves frustrated by global programmes that fail to take into account data on local circumstances. Wherever they live — in a village, city or country, in the global south or north — people have the right to public-health decisions that are based on the best data and science possible, that minimize risk and cost, and maximize health in their communities…(More)”

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


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

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

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

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

Maybe the Internet Isn’t a Fantastic Tool for Democracy After All


 in NewYork Magazine: “My favorite story about the internet is the one about the anonymous Japanese guy who liberated Czechoslovakia. In 1989, as open dissent was spreading across the country, dissidents were attempting to coordinate efforts outside the watchful eye of Czechoslovak state security. The internet was a nascent technology, and the cops didn’t use it; modems were banned, and activists were able to use only those they could smuggle over the border, one at a time. Enter our Japanese guy. Bruce Sterling, who first told the story of the Japanese guy in a 1995 Wired article, says he talked to four different people who’d met the quiet stranger, but no one knew his name. What really mattered, anyway, is what he brought with him: “a valise full of brand-new and unmarked 2400-baud Taiwanese modems,” which he handed over to a group of engineering students in Prague before walking away. “The students,” Sterling would later write, “immediately used these red-hot 2400-baud scorcher modems to circulate manifestos, declarations of solidarity, rumors, and riot news.” Unrest expanded, the opposition grew, and within months, the Communist regime collapsed.

Is it true? Were free modems the catalyst for the Velvet Revolution? Probably not. But it’s a good story, the kind whose logic and lesson have become so widely understood — and so foundational to the worldview of Silicon Valley — as to make its truth irrelevant. Isn’t the best way to fortify the town square by giving more people access to it? And isn’t it nice to know, as one storied institution and industry after another falls to the internet’s disrupting sword, that everything will be okay in the end — that there might be some growing pains, but connecting billions of people to one another is both inevitable and good? Free speech will expand, democracy will flower, and we’ll all be rich enough to own MacBooks. The new princes of Silicon Valley will lead us into the rational, algorithmically enhanced, globally free future.

Or, they were going to, until earlier this month. The question we face now is: What happens when the industry destroyed is professional politics, the institutions leveled are the same few that prop up liberal democracy, and the values the internet disseminates are racism, nationalism, and demagoguery?

Powerful undemocratic states like China and Russia have for a while now put the internet to use to mislead the public, create the illusion of mass support, and either render opposition invisible or expose it to targeting…(More)”

For Better Citizenship, Scratch and Win


Tina Rosenberg in the New York Times: “China, with its largely cash economy, has a huge problem with tax evasion. Not just grand tax evasion, but the everyday “no receipt, please” kind, even though there have been harsh penalties: Before 2011, some forms of tax evasion were even punishable by death.

The country needed a different approach. So what did it do to get people to pay sales tax?
A. Hired a force of inspectors to raid restaurants and stores to catch people skipping the receipt, accompanied by big fines and prison terms.
B. Started an “It’s a citizen’s duty to denounce” exhortation campaign.
C. Installed cameras to photograph every transaction.
D. Turned receipts into scratch-off lottery games.

One of these things is not like the other, and that’s the answer: D. Instead of punishing under-the-table transactions, China wisely decided to encouragelegal transactions by starting a receipt lottery. Many places have done this — Brazil, Chile, Malta, Portugal, Slovakia and Taiwan, among others. In Taiwan, for example, every month the tax authorities post lottery numbers; match a few numbers for a small prize, or all of them to win more than $300,000.

China took it further. Customers need not store their receipts and wait until the end of the month to see if they’ve won money. Gratification is instant: Each receipt, known as a fapiao, is a scratch-off lottery ticket. People still game the system, but much less. The fapiao system has greatly raised collections of sales tax, business income tax and total tax. And it’s cheap to administer: one study found that new tax revenue totaled 30 times (PDF) the cost of the lottery prizes.

When a receipt is a lottery ticket, people ask for a receipt. They hope to get money, but just as important, they like to play games. Those axioms apply around the globe.

“We have groups that say: we can give out an incentive to our customers worth $15,” said Aron Ezra, chief executive of OfferCraft, an American company that designs games for businesses. “They could do that and have everyone get an incentive for $15. But they’d get better results for the same average price by having variability — some get $10, some get $100.” The lottery makes it exciting.

The huge popularity of lotteries shows this. Another example is the Save to Win program, which credit unions are using in seven states. Microscopic interest rates weren’t enough to get low-income customers to save. So instead, for every $25 they put into a savings account, depositors get one lottery entry. They can win a grand prize — in some states, $10,000 — or $100 prizes every month.

What else could lotteries do?

Los Angeles and Philadelphia have been the sites of experiments to increase dismal voter turnout in local elections by choosing a voter at random to win a large cash prize. In May 2015, the Southwest Voter Registration Education Project in Los Angeles offered $25,000 to a random voter in one district during a school board election, in a project named Voteria.

Health-related lotteries aren’t new. In 1957, Glasgow held a mass X-ray campaign to diagnose tuberculosis. Health officials aimed to X-ray 250,000 people and in the end got three times that many. One reason for the enthusiasm: a weekly prize draw. A lovely vintage newsreel reported on the campaign.

More than 50 years later, researchers set up a lottery among young adults in Lesotho, designed to promote safe sex practices. Every four months the subjects were tested for two sexually transmitted diseases, syphilis and trichonomiasis. A negative test got them entered into a lottery to win either $50 (equivalent to a week’s average salary) or $100. The idea was to see if incentives to reduce the spread of syphilis would also protect against HIV.

The results were significant — a 21.4 percent reduction in the rate of new H.I.V. infections, and a 3.4 percent lower prevalence rate of HIV in the treatment group after two years. And the effect was lasting — the gains persisted a year after the experiment ended. The lottery worked in large part because it was most attractive to those most at risk: many people who take sexual risks also enjoy taking monetary risks, and might be eager to play a lottery.

The authors wrote in a blog post: “To the best of our knowledge, this is the first H.I.V. prevention intervention focusing on sexual behavior changes (as opposed to medical interventions) to have been demonstrated to lead to a significant reduction in H.I.V. incidence, the ultimate objective of any H.I.V. prevention intervention.”…(More)”