Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy


Report by the National Academies of Sciences’s Panel on Improving Federal Statistics for Policy and Social Science: “Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels.

Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm….(More)”

Nudging people to make good choices can backfire


Bruce Bower in ScienceNews: “Nudges are a growth industry. Inspired by a popular line of psychological research and introduced in a best-selling book a decade ago, these inexpensive behavior changers are currently on a roll.

Policy makers throughout the world, guided by behavioral scientists, are devising ways to steer people toward decisions deemed to be in their best interests. These simple interventions don’t force, teach or openly encourage anyone to do anything. Instead, they nudge, exploiting for good — at least from the policy makers’ perspective — mental tendencies that can sometimes lead us astray.

But new research suggests that low-cost nudges aimed at helping the masses have drawbacks. Even simple interventions that work at first can lead to unintended complications, creating headaches for nudgers and nudgees alike…

Promising results of dozens of nudge initiatives appear in two government reports issued last September. One came from the White House, which released the second annual report of its Social and Behavioral Sciences Team. The other came from the United Kingdom’s Behavioural Insights Team. Created by the British government in 2010, the U.K. group is often referred to as the Nudge Unit.

In a September 20, 2016, Bloomberg View column, Sunstein said the new reports show that nudges work, but often increase by only a few percentage points the number of people who, say, receive government benefits or comply with tax laws. He called on choice architects to tackle bigger challenges, such as finding ways to nudge people out of poverty or into higher education.

Missing from Sunstein’s comments and from the government reports, however, was any mention of a growing conviction among some researchers that well-intentioned nudges can have negative as well as positive effects. Accepting automatic enrollment in a company’s savings plan, for example, can later lead to regret among people who change jobs frequently or who realize too late that a default savings rate was set too low for their retirement needs. E-mail reminders to donate to a charity may work at first, but annoy recipients into unsubscribing from the donor list.

“I don’t want to get rid of nudges, but we’ve been a bit too optimistic in applying them to public policy,” says behavioral economist Mette Trier Damgaard of Aarhus University in Denmark.

Nudges, like medications for physical ailments, require careful evaluation of intended and unintended effects before being approved, she says. Policy makers need to know when and with whom an intervention works well enough to justify its side effects.

Default downer

That warning rings especially true for what is considered a shining star in the nudge universe — automatic enrollment of employees in retirement savings plans. The plans, called defaults, take effect unless workers decline to participate….

But little is known about whether automatic enrollees are better or worse off as time passes and their personal situations change, says Harvard behavioral economist Brigitte Madrian. She coauthored the 2001 paper on the power of default savings plans.

Although automatic plans increase savings for those who otherwise would have squirreled away little or nothing, others may lose money because they would have contributed more to a self-directed retirement account, Madrian says. In some cases, having an automatic savings account may encourage irresponsible spending or early withdrawals of retirement money (with penalties) to cover debts. Such possibilities are plausible but have gone unstudied.

In line with Madrian’s concerns, mathematical models developed by finance professor Bruce Carlin of the University of California, Los Angeles and colleagues suggest that people who default into retirement plans learn less about money matters, and share less financial information with family and friends, than those who join plans that require active investment choices.

Opt-out savings programs “have been oversimplified to the public and are being sold as a great way to change behavior without addressing their complexities,” Madrian says. Research needs to address how well these plans mesh with individuals’ personalities and decision-making styles, she recommends….

Researchers need to determine how defaults and other nudges instigate behavior changes before unleashing them on the public, says philosopher of science Till Grüne-Yanoff of the Royal Institute of Technology in Stockholm….

Sometimes well-intentioned, up-front attempts to get people to do what seems right come back to bite nudgers on the bottom line.

Consider e-mail prompts and reminders. ….A case in point is a study submitted for publication by Damgaard and behavioral economist Christina Gravert of the University of Gothenburg in Sweden. E-mailed donation reminders sent to people who had contributed to a Danish anti-poverty charity increased the number of donations in the short term, but also triggered an upturn in the number of people unsubscribing from the list.

People’s annoyance at receiving reminders perceived as too frequent or pushy cost the charity money over the long haul, Damgaard holds. Losses of list subscribers more than offset the financial gains from the temporary uptick in donations, she and Gravert conclude.

“Researchers have tended to overlook the hidden costs of nudging,” Damgaard says….(More)”

Drones used in fight against plastic pollution on UK beaches


Tom Cheshire at SkyNews: “On a beach in Kent, Peter Koehler and Ellie Mackay are teaching a drone how to see.

Their project, Plastic Tide, aims to create software that will automatically pick out the pieces of plastic that wash up here on the shingle.

“One of the major challenges we face is that we can only account for 1% of those millions and millions of tonnes [of plastic] that are coming into our oceans every year,” Mr Koehler told Sky News.

“So the question is, where is that 99% going?”

He added: “We just don’t know. It could be in the water, it could be in wildlife, or it could be on beaches.

“And so what the Plastic Tide is doing, it’s using drone technology to image beaches in a way that’s never been done before, on a scientific scale. So that you can build up a picture of how much of that missing 99% is washing up on our beaches.”

Mr Koehler and Ms Mackay use an off-the-shelf drone. They select the area of beach they want to film and a free app comes up with a survey pattern flight path – the drone moves systematically up and down the beach as if it were ploughing it.

The images taken are then uploaded to a scientific crowd-sourcing platform called Zooniverse.

Anyone can log on, look at the images and tag bits of plastic in them.

That will build up a huge amount of data, which will be used to train a machine-learning algorithm to spot plastic by itself – no humans required.

The hope is that, eventually, anyone will be able to fly a drone, take images, then computers will automatically scan the images and determine the levels of plastic pollution on a beach.

This summer, Mr Koehler and Ms Mackay will travel all 3,200 miles of the UK coastline, surveying beaches….

There’s no new, groundbreaking piece of technology here.

Just off-the-shelf components, smart thinking and a desire to put a small dent in a huge problem….(More)”

Seeing Theory


Seeing Theory is a project designed and created by Daniel Kunin with support from Brown University’s Royce Fellowship Program. The goal of the project is to make statistics more accessible to a wider range of students through interactive visualizations.

Statistics is quickly becoming the most important and multi-disciplinary field of mathematics. According to the American Statistical Association, “statistician” is one of the top ten fastest-growing occupations and statistics is one of the fastest-growing bachelor degrees. Statistical literacy is essential to our data driven society. Yet, for all the increased importance and demand for statistical competence, the pedagogical approaches in statistics have barely changed. Using Mike Bostock’s data visualization software, D3.js, Seeing Theory visualizes the fundamental concepts covered in an introductory college statistics or Advanced Placement statistics class. Students are encouraged to use Seeing Theory as an additional resource to their textbook, professor and peers….(More)”

iGod


Novel by Willemijn Dicke and Dirk Helbing: “iGod is a science fiction novel with heroes, love, defeat and hope. But it is much more than that. This book aims to explore how societies may develop, given the technologies that we see at present. As Dirk Helbing describes it in his introduction:

We have come to the conclusion that neither a scientific study nor an investigative report would allow one to talk about certain things that, we believe, need to be thought and talked about. So, a science fiction story appeared to be the right approach. It seems the perfect way to think “what if scenarios” through. It is not the first time that this avenue has been taken. George Orwell’s “1984” and “Animal Farm” come to mind, or Dave Eggers “The Circle”. The film ‘The Matrix’ and the Netflix series ‘Black Mirror are good examples too.

“iGod” outlines how life could be in a couple of years from now, certainly in our lifetime. At some places, this story about our future society seems far-fetched. For example, in “iGod”, all citizens have a Social Citizen Score. This score is established based on their buying habits, their communication in social media and social contacts they maintain. It is obtained by mass-surveillance and has a major impact on everyone’s life. It determines whether you are entitled to get a loan, what jobs you are offered, and even how long you will receive medical care.

The book is set in the near future in Amsterdam, the Netherlands. Lex is an unemployed biologist. One day he is contacted by a computer which, gradually reveals the machinery behind the reality we see. It is a bleak world. Together with his girlfriend Diana and Seldon, a Professor at Amsterdam Tech, he starts the quest to regain freedom….(More) (Individual chapters)”

Prediction and explanation in social systems


Jake M. HofmanAmit Sharma, and Duncan J. Watts in Science: “Historically, social scientists have sought out explanations of human and social phenomena that provide interpretable causal mechanisms, while often ignoring their predictive accuracy. We argue that the increasingly computational nature of social science is beginning to reverse this traditional bias against prediction; however, it has also highlighted three important issues that require resolution. First, current practices for evaluating predictions must be better standardized. Second, theoretical limits to predictive accuracy in complex social systems must be better characterized, thereby setting expectations for what can be predicted or explained. Third, predictive accuracy and interpretability must be recognized as complements, not substitutes, when evaluating explanations. Resolving these three issues will lead to better, more replicable, and more useful social science….(More)”

Geospatial big data and cartography: research challenges and opportunities for making maps that matter


International Journal Of Cartography; “Geospatial big data present a new set of challenges and opportunities for cartographic researchers in technical, methodological and artistic realms. New computational and technical paradigms for cartography are accompanying the rise of geospatial big data. Additionally, the art and science of cartography needs to focus its contemporary efforts on work that connects to outside disciplines and is grounded in problems that are important to humankind and its sustainability. Following the development of position papers and a collaborative workshop to craft consensus around key topics, this article presents a new cartographic research agenda focused on making maps that matter using geospatial big data. This agenda provides both long-term challenges that require significant attention and short-term opportunities that we believe could be addressed in more concentrated studies….(More)”.

Analytics Tools Could Be the Key to Effective Message-Driven Nudging


 in Government Technology: “Appealing to the nuances of the human mind has been a feature of effective governance for as long as governance has existed, appearing prominently in the prescriptions of every great political theorist from Plato to Machiavelli. The most recent and informed iteration of this practice is nudging: leveraging insights about how humans think from behavioral science to create initiatives that encourage desirable behaviors.

Public officials nudge in many ways. Some seek to modify people’s behavior by changing the environments in which they make decisions, for instance moving vegetables to the front of a grocery store to promote healthy eating. Others try to make desirable behaviors easier, like streamlining a city website to make it simpler to sign up for a service. Still others use prompts like email reminders of a deadline to receive a free checkup to nudge people to act wisely by providing useful information.

Thus far, examples of the third type of nudging — direct messaging that prompts behavior — have been decidedly low tech. Typical initiatives have included sending behaviorally informed letters to residents who have not complied with a city code or mailing out postcard reminders to renew license plates. Governments have been attracted to these initiatives for their low cost and proven effectiveness.

While these low-tech nudges should certainly continue, cities’ recent adoption of tools that can mine and analyze data instantaneously has the potential to greatly increase the scope and effectiveness of message-driven nudging.

For one, using Internet of Things (IoT) ecosystems, cities can provide residents with real-time information so that they may make better-informed decisions. For example, cities could connect traffic sensors to messaging systems and send subscribers text messages at times of high congestion, encouraging them to take public transportation. This real-time information, paired with other nudges, could increase transit use, easing traffic and bettering the environment…
Instantaneous data-mining tools may also prove useful for nudging citizens in real time, at the moments they are most likely to partake in detrimental behavior. Tools like machine learning can analyze users’ behavior and determine if they are likely to make a suboptimal choice, like leaving the website for a city service without enrolling. Using clickstream data, the site could determine if a user is likely to leave and deliver a nudge, for example sending a message explaining that most residents enroll in the service. This strategy provides another layer of nudging, catching residents who may have been influenced by an initial nudge — like a reminder to sign up for a service or streamlined website — but may need an extra prod to follow through….(More)”

Society, Regulation and Governance New Modes of Shaping Social Change?


Book edited by Regine Paul, Marc Mölders, Alfons Bora, Michael Huber and Peter Münte: “Society, Regulation and Governance critically appraises the issue of intentional social change through the lens of regulation and governance studies. A twofold understanding of regulation and governance underpins the conceptual and empirical engagement throughout the book. On the one hand, regulation and governance are understood to be innovatively minded. On the other hand the book argues that, at their respective cores, regulation and governance are continuously concerned with how intentional social change can be fostered and what results can be yielded in terms of shaping society.

This book brings together sociologists, political scientists, legal scholars and historians to produce an interdisciplinary critical evaluation of alleged ‘new modes’ of social change, specifically: risk, publics and participation. It makes three key contributions by:

• offering a consolidation and re-appraisal of a debate that has become increasingly vague with its academic and political proliferation;

• identifying a uniting conceptual-analytical core between regulation and governance which explains the adaptability and innovation-mindedness of processes of ‘shaping society’; and

• re-focusing on the ‘essence’ of regulation and governance approaches – intentional modes of social change.

Society, Regulation and Governance will give significant insight into the potential and limits of new methods of social change, suiting a wide range of social science and legal academics due to its collaborative nature….(More)”.

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)”