Selected Readings on Behavioral Economics: Nudges

Curated on Posted on by Andrew Young

The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of behavioral economics was originally published in 2014.

The 2008 publication of Richard Thaler and Cass Sunstein’s Nudge ushered in a new era of behavioral economics, and since then, policy makers in the United States and elsewhere have been applying behavioral economics to the field of public policy. Like Smart Disclosure, behavioral economics can be used in the public sector to improve the decisionmaking ability of citizens without relying on regulatory interventions. In the six years since Nudge was published, the United Kingdom has created the Behavioural Insights Team (also known as the Nudge Unit), a cross-ministerial organization that uses behavioral economics to inform public policy, and the White House has recently followed suit by convening a team of behavioral economists to create a behavioral insights-driven team in the United States. Policymakers have been using behavioral insights to design more effective interventions in the fields of long term unemployment; roadway safety; enrollment in retirement plans; and increasing enrollment in organ donation registries, to name some noteworthy examples. The literature of this nascent field provides a look at the growing optimism in the potential of applying behavioral insights in the public sector to improve people’s lives.

Selected Reading List (in alphabetical order)

  • John Beshears, James Choi, David Laibson and Brigitte C. Madrian – The Importance of Default Options for Retirement Savings Outcomes: Evidence from the United States – a paper examining the role default options play in encouraging intelligent retirement savings decisionmaking.
  • Cabinet Office and Behavioural Insights Team, United Kingdom – Applying Behavioural Insights to Health – a paper outlining some examples of behavioral economics being applied to the healthcare landscape using cost-efficient interventions.
  • Matthew Darling, Saugato Datta and Sendhil Mullainathan – The Nature of the BEast: What Behavioral Economics Is Not – a paper discussing why control and behavioral economics are not as closely aligned as some think, reiterating the fact that the field is politically agnostic.
  • Antoinette Schoar and Saugato Datta – The Power of Heuristics – a paper exploring the concept of “heuristics,” or rules of thumb, which can provide helpful guidelines for pushing people toward making “reasonably good” decisions without a full understanding of the complexity of a situation.
  • Richard H. Thaler and Cass R. Sunstein – Nudge: Improving Decisions About Health, Wealth, and Happiness – an influential book describing the many ways in which the principles of behavioral economics can be and have been used to influence choices and behavior through the development of new “choice architectures.” 
  • U.K. Parliament Science and Technology Committee – Behaviour Change – an exploration of the government’s attempts to influence the behaviour of its citizens through nudges, with a focus on comparing the effectiveness of nudges to that of regulatory interventions.

Annotated Selected Reading List (in alphabetical order)

Beshears, John, James Choi, David Laibson and Brigitte C. Madrian. “The Importance of Default Options for Retirement Savings Outcomes: Evidence from the United States.” In Jeffrey R. Brown, Jeffrey B. Liebman and David A. Wise, editors, Social Security Policy in a Changing Environment, Cambridge: National Bureau of Economic Research, 2009. http://bit.ly/LFmC5s.

  • This paper examines the role default options play in pushing people toward making intelligent decisions regarding long-term savings and retirement planning.
  • Importantly, the authors provide evidence that a strategically oriented default setting from the outset is likely not enough to fully nudge people toward the best possible decisions in retirement savings. They find that the default settings in every major dimension of the savings process (from deciding whether to participate in a 401(k) to how to withdraw money at retirement) have real and distinct effects on behavior.

Cabinet Office and Behavioural Insights Team, United Kingdom. “Applying Behavioural Insights to Health.” December 2010. http://bit.ly/1eFP16J.

  • In this report, the United Kingdom’s Behavioural Insights Team does not attempt to “suggest that behaviour change techniques are the silver bullet that can solve every problem.” Rather, they explore a variety of examples where local authorities, charities, government and the private-sector are using behavioural interventions to encourage healthier behaviors.  
  • The report features case studies regarding behavioral insights ability to affect the following public health issues:
    • Smoking
    • Organ donation
    • Teenage pregnancy
    • Alcohol
    • Diet and weight
    • Diabetes
    • Food hygiene
    • Physical activity
    • Social care
  • The report concludes with a call for more experimentation and knowledge gathering to determine when, where and how behavioural interventions can be most effective in helping the public become healthier.

Darling, Matthew, Saugato Datta and Sendhil Mullainathan. “The Nature of the BEast: What Behavioral Economics Is Not.” The Center for Global Development. October 2013. https://bit.ly/2QytRmf.

  • In this paper, Darling, Datta and Mullainathan outline the three most pervasive myths that abound within the literature about behavioral economics:
    • First, they dispel the relationship between control and behavioral economics.  Although tools used within behavioral economics can convince people to make certain choices, the goal is to nudge people to make the choices they want to make. For example, studies find that when retirement savings plans change the default to opt-in rather than opt-out, more workers set up 401K plans. This is an example of a nudge that guides people to make a choice that they already intend to make.
    • Second, they reiterate that the field is politically agnostic. Both liberals and conservatives have adopted behavioral economics and its approach is neither liberal nor conservative. President Obama embraces behavioral economics but the United Kingdom’s conservative party does, too.
    • And thirdly, the article highlights that irrationality actually has little to do with behavioral economics. Context is an important consideration when one considers what behavior is rational and what behavior is not. Rather than use the term “irrational” to describe human beings, the authors assert that humans are “infinitely complex” and behavior that is often considered irrational is entirely situational.

Schoar, Antoinette and Saugato Datta. “The Power of Heuristics.” Ideas42. January 2014. https://bit.ly/2UDC5YK.

  • This paper explores the notion that being presented with a bevy of options can be desirable in many situations, but when making an intelligent decision requires a high-level understanding of the nuances of vastly different financial aid packages, for example, options can overwhelm. Heuristics (rules of thumb) provide helpful guidelines that “enable people to make ‘reasonably good’ decisions without needing to understand all the complex nuances of the situation.”
  • The underlying goal heuristics in the policy space involves giving people the type of “rules of thumb” that enable make good decisionmaking regarding complex topics such as finance, healthcare and education. The authors point to the benefit of asking individuals to remember smaller pieces of knowledge by referencing a series of studies conducted by psychologists Beatty and Kahneman that showed people were better able to remember long strings of numbers when they were broken into smaller segments.
  • Schoar and Datta recommend these four rules when implementing heuristics:
    • Use heuristics where possible, particularly in complex situation;
    • Leverage new technology (such as text messages and Internet-based tools) to implement heuristics.
    • Determine where heuristics can be used in adult training programs and replace in-depth training programs with heuristics where possible; and
    • Consider how to apply heuristics in situations where the exception is the rule. The authors point to the example of savings and credit card debt. In most instances, saving a portion of one’s income is a good rule of thumb. However, when one has high credit card debt, paying off debt could be preferable to building one’s savings.

Thaler, Richard H. and Cass R. Sunstein. Nudge: Improving Decisions About Health, Wealth, and Happiness. Yale University Press, 2008. https://bit.ly/2kNXroe.

  • This book, likely the single piece of scholarship most responsible for bringing the concept of nudges into the public consciousness, explores how a strategic “choice architecture” can help people make the best decisions.
  • Thaler and Sunstein, while advocating for the wider and more targeted use of nudges to help improve people’s lives without resorting to overly paternal regulation, look to five common nudges for lessons and inspiration:
    • The design of menus gets you to eat (and spend) more;
    • “Flies” in urinals improve, well, aim;
    • Credit card minimum payments affect repayment schedules;
    • Automatic savings programs increase savings rate; and
    • “Defaults” can improve rates of organ donation.
  • In the simplest terms, the authors propose the wider deployment of choice architectures that follow “the golden rule of libertarian paternalism: offer nudges that are most likely to help and least likely to inflict harm.”

U.K. Parliament Science and Technology Committee. “Behaviour Change.” July 2011. http://bit.ly/1cbYv5j.

  • This report from the U.K.’s Science and Technology Committee explores the government’s attempts to influence the behavior of its citizens through nudges, with a focus on comparing the effectiveness of nudges to that of regulatory interventions.
  • The author’s central conclusion is that, “non-regulatory measures used in isolation, including ‘nudges,’ are less likely to be effective. Effective policies often use a range of interventions.”
  • The report’s other major findings and recommendations are:
    • Government must invest in gathering more evidence about what measures work to influence population behaviour change;
    • They should appoint an independent Chief Social Scientist to provide them with robust and independent scientific advice;
    • The Government should take steps to implement a traffic light system of nutritional labelling on all food packaging; and
    • Current voluntary agreements with businesses in relation to public health have major failings. They are not a proportionate response to the scale of the problem of obesity and do not reflect the evidence about what will work to reduce obesity. If effective agreements cannot be reached, or if they show minimal benefit, the Government should pursue regulation.”

AskThem.io – Questions-and-Answers with Every Elected Official

Curated on Posted on by Stefaan Verhulst

Press Release: “AskThem.io, launching Feb. 10th, is a free & open-source website for questions-and-answers with public figures. AskThem is like a version of the White House’s “We The People” petition platform, where over 8 million people have taken action to support questions for a public response – but for the first time, for every elected official nationwide…AskThem.io has official government data for over 142,000 U.S. elected officials at every level of government: federal, state, county, and municipal. Also, AskThem allows anyone to ask a question to any verified Twitter account, for online dialogue with public figures.

Here’s how AskThem works for online public dialogue:

  • For the first time in an open-source website, visitors enter their street address to see all their elected officials, from federal down to the city levels, or search for a verified Twitter account.
  • Individuals & organizations submit a question to their elected officials – for example, asking a city council member about a proposed ban on plastic bags.
  • People then sign on to the questions and petitions they support, voting them up on AskThem and sharing them over social media, as with online petitions.
  • When a question passes a certain threshold of signatures, AskThem delivers it to the recipient over email & social media and encourages a public response – creating a continual, structured dialogue with elected officials at every level of government.

AskThem also incorporates open government data, such as city council agendas and key vote information, to inform good questions of people in power. Open government advocate, Chicago, IL Clerk Susana Mendoza, joined AskThem because she believes that “technology should bring residents and the Office of the Chicago City Clerk closer together.”

Elected officials who sign up with AskThem agree to respond to the most popular questions from their constituents (about two per month). Interested elected officials can sign up now to become verified, free & open to everyone.

Issue-based organizations can use question & petition info from AskThem to surface political issues in their area that people care about, stay continuously engaged with government, and promote public accountability. Participating groups on AskThem include the internet freedom non-profit Fight For the Future, the social media crowd-speaking platform Thunderclap.it, the Roosevelt Institute National Student Network, and more.”

Mind the Map: The Impact of Culture and Economic Affluence on Crowd-Mapping Behaviours

Curated on Posted on by Stefaan Verhulst
New paper by Dr. Licia Capra: “Crowd-mapping is a form of collaborative work that empowers citizens to collect and share geographic knowledge. Open-StreetMap (OSM) is a successful example of such paradigm, where the goal of building and maintaining an accurate global map of the changing world is being accomplished by means of local contributions made by over 1.2M citizens. While OSM has been subject to many country-specific studies, the relationship between national culture and economic affluence and users’ participation has been so far unexplored. In this work, we systematically study the link between them: we characterise OSM users in terms of who they are, how they contribute, during what period of time, and across what geographic areas. We find strong correlations between these characteristics and national culture factors (e.g., power distance, individualism, pace of life, self expression), and well as Gross Domestic Product per capita. Based on these findings, we discuss design issues that developers of crowd-mapping services should consider to account for cross-cultural differences”

Open data: Strategies for impact

Curated on Posted on by Stefaan Verhulst
Havey Lewis at Open Government Partnership Blog: “When someone used to talk about “data for good”, chances are they were wondering whether the open data stream they relied on was still going to be available in the future. Similarly, “good with data” meant that experienced data scientists were being sought for a deeply technical project. Both interpretations reflect a state of being rather than of doing: data being around for good; people being good with data.
Important though these considerations are, they miss what should be an obvious and more profound alternative.
Right now, organisations like DataKind™  and Periscopic, and many other entrepreneurs, innovators and established social enterprises that use open data, see things differently. They are using these straplines to shake up the status quo, to demonstrate that data-driven businesses can do well by doing good.
And it’s the confluence of the many national and international open data initiatives, and the growing number of technically able, socially responsible organisations that provide the opportunity for social as well as economic growth. The World Wide Web Foundation now estimates that there are over 370 open data initiatives around the world. Collectively, and through portals such as Quandl and and datacatalogs.org, these initiatives have made a staggering quantity of data available – in excess of eight million data sets. In addition, several successful and data-rich companies are entering into a new spirit of philanthropy – by donating their data for the public good. There’s no doubt that opening up data signals a new willingness by governments and businesses all over the world to engage with their citizens and customers in a new and more transparent way.
The challenge, though, is ensuring that these popular national and international open data initiatives are cohesive and impactful. And that the plans drawn up by public sector bodies to release specific data sets are based on the potential the data has to achieve a beneficial outcome, not – or, at least, not solely – based on the cost or ease of publication. Despite the best of intentions, only a relatively small proportion of open data sets now available has the latent potential to create significant economic or social impact. In our push to open up data and government, it seems that we may have fallen into the trap of believing the ends are the same as the means; that effect is the same as cause…”

The Age of ‘Infopolitics’

Curated on Posted on by Stefaan Verhulst

Colin Koopman in the New York Times: “We are in the midst of a flood of alarming revelations about information sweeps conducted by government agencies and private corporations concerning the activities and habits of ordinary Americans. After the initial alarm that accompanies every leak and news report, many of us retreat to the status quo, quieting ourselves with the thought that these new surveillance strategies are not all that sinister, especially if, as we like to say, we have nothing to hide.
One reason for our complacency is that we lack the intellectual framework to grasp the new kinds of political injustices characteristic of today’s information society. Everyone understands what is wrong with a government’s depriving its citizens of freedom of assembly or liberty of conscience. Everyone (or most everyone) understands the injustice of government-sanctioned racial profiling or policies that produce economic inequality along color lines. But though nearly all of us have a vague sense that something is wrong with the new regimes of data surveillance, it is difficult for us to specify exactly what is happening and why it raises serious concern, let alone what we might do about it.
Our confusion is a sign that we need a new way of thinking about our informational milieu. What we need is a concept of infopolitics that would help us understand the increasingly dense ties between politics and information. Infopolitics encompasses not only traditional state surveillance and data surveillance, but also “data analytics” (the techniques that enable marketers at companies like Target to detect, for instance, if you are pregnant), digital rights movements (promoted by organizations like the Electronic Frontier Foundation), online-only crypto-currencies (like Bitcoin or Litecoin), algorithmic finance (like automated micro-trading) and digital property disputes (from peer-to-peer file sharing to property claims in the virtual world of Second Life). These are only the tip of an enormous iceberg that is drifting we know not where.
Surveying this iceberg is crucial because atop it sits a new kind of person: the informational person. Politically and culturally, we are increasingly defined through an array of information architectures: highly designed environments of data, like our social media profiles, into which we often have to squeeze ourselves. The same is true of identity documents like your passport and individualizing dossiers like your college transcripts. Such architectures capture, code, sort, fasten and analyze a dizzying number of details about us. Our minds are represented by psychological evaluations, education records, credit scores. Our bodies are characterized via medical dossiers, fitness and nutrition tracking regimens, airport security apparatuses. We have become what the privacy theorist Daniel Solove calls “digital persons.” As such we are subject to infopolitics (or what the philosopher Grégoire Chamayou calls “datapower,” the political theorist Davide Panagia “datapolitik” and the pioneering thinker Donna Haraway “informatics of domination”).
Today’s informational person is the culmination of developments stretching back to the late 19th century. It was in those decades that a number of early technologies of informational identity were first assembled. Fingerprinting was implemented in colonial India, then imported to Britain, then exported worldwide. Anthropometry — the measurement of persons to produce identifying records — was developed in France in order to identify recidivists. The registration of births, which has since become profoundly important for initiating identification claims, became standardized in many countries, with Massachusetts pioneering the way in the United States before a census initiative in 1900 led to national standardization. In the same era, bureaucrats visiting rural districts complained that they could not identify individuals whose names changed from context to context, which led to initiatives to universalize standard names. Once fingerprints, biometrics, birth certificates and standardized names were operational, it became possible to implement an international passport system, a social security number and all other manner of paperwork that tells us who someone is. When all that paper ultimately went digital, the reams of data about us became radically more assessable and subject to manipulation, which has made us even more informational.
We like to think of ourselves as somehow apart from all this information. We are real — the information is merely about us. But what is it that is real? What would be left of you if someone took away all your numbers, cards, accounts, dossiers and other informational prostheses? Information is not just about you — it also constitutes who you are….”

Online Video Game Plugs Players Into Real Biochemistry Lab

Curated on Posted on by Stefaan Verhulst

Science Now: “Crowdsourcing is the latest research rage—Kickstarter to raise funding, screen savers that number-crunch, and games to find patterns in data—but most efforts have been confined to the virtual lab of the Internet. In a new twist, researchers have now crowdsourced their experiments by connecting players of a video game to an actual biochemistry lab. The game, called EteRNA, allows players to remotely carry out real experiments to verify their predictions of how RNA molecules fold. The first big result: a study published this week in the Proceedings of the National Academy of Sciences, bearing the names of more than 37,000 authors—only 10 of them professional scientists. “It’s pretty amazing stuff,” says Erik Winfree, a biophysicist at the California Institute of Technology in Pasadena.
Some see EteRNA as a sign of the future for science, not only for crowdsourcing citizen scientists but also for giving them remote access to a real lab. “Cloud biochemistry,” as some call it, isn’t just inevitable, Winfree says: It’s already here. DNA sequencing, gene expression testing, and many biochemical assays are already outsourced to remote companies, and any “wet lab” experiment that can be automated will be automated, he says. “Then the scientists can focus on the non-boring part of their work.”
EteRNA grew out of an online video game called Foldit. Created in 2008 by a team led by David Baker and Zoran Popović, a molecular biologist and computer scientist, respectively, at the University of Washington, Seattle, Foldit focuses on predicting the shape into which a string of amino acids will fold. By tweaking virtual strings, Foldit players can surpass the accuracy of the fastest computers in the world at predicting the structure of certain proteins. Two members of the Foldit team, Adrien Treuille and Rhiju Das, conceived of EteRNA back in 2009. “The idea was to make a version of Foldit for RNA,” says Treuille, who is now based at Carnegie Mellon University in Pittsburgh, Pennsylvania. Treuille’s doctoral student Jeehyung Lee developed the needed software, but then Das persuaded them to take it a giant step further: hooking players up directly to a real-world, robot-controlled biochemistry lab. After all, RNA can be synthesized and its folded-up structure determined far more cheaply and rapidly than protein can.
Lee went back to the drawing board, redesigning the game so that it had not only a molecular design interface like Foldit, but also a laboratory interface for designing RNA sequences for synthesis, keeping track of hypotheses for RNA folding rules, and analyzing data to revise those hypotheses. By 2010, Lee had a prototype game ready for testing. Das had the RNA wet lab ready to go at Stanford University in Palo Alto, California, where he is now a professor. All they lacked were players.
A message to the Foldit community attracted a few hundred players. Then in early 2011, The New York Times wrote about EteRNA and tens of thousands of players flooded in.
The game comes with a detailed tutorial and a series of puzzles involving known RNA structures. Only after winning 10,000 points do you unlock the ability to join EteRNA’s research team. There the goal is to design RNA sequences that will fold into a target structure. Each week, eight sequences are chosen by vote and sent to Stanford for synthesis and structure determination. The data that come back reveal how well the sequences’ true structures matched their targets. That way, Treuille says, “reality keeps score.” The players use that feedback to tweak a set of hypotheses: design rules for determining how an RNA sequence will fold.
Two years and hundreds of RNA structures later, the players of EteRNA have proven themselves to be a potent research team. Of the 37,000 who played, about 1000 graduated to participating in the lab for the study published today. (EteRNA now has 133,000 players, 4000 of them doing research.) They generated 40 new rules for RNA folding. For example, at the junctions between different parts of the RNA structure—such as between a loop and an arm—the players discovered that it is far more stable if enriched with guanines and cytosines, the strongest bonding of the RNA base pairs. To see how well those rules describe reality, the humans then competed toe to toe against computers in a new series of RNA structure challenges. The researchers distilled the humans’ 40 rules into an algorithm called EteRNA Bot.”

OGP’s Independent Reporting Mechanism to Publish 35 Reports

Curated on Posted on by Stefaan Verhulst
“The Open Government Partnership has many attributes that make it stand out from other multilateral initiatives. The central role for civil society, the focus on supporting domestic reformers, and the diverse mix of countries in leadership roles, are all cited as organisational strengths. In February it will be the turn of OGP’s unique accountability mechanism, which is set up to be entirely independent and makes all of its findings public, to take centre stage. The Independent Reporting Mechanism will be publishing 35 progress reports over the next month. These are check-ins on how the large group of countries who formally joined OGP at the Brasilia Summit in April 2012 are doing against their open government reform commitments. The reports examine individual commitments from the National Action Plans, as well as the quality of the consultation process and dialogue between civil society and the government. The executive summaries will highlight the star commitments that saw tremendous progress, and were the most ambitious in terms of potential impact. These reports come at an important time for OGP. All the countries receiving reports are embarking on their second National Action Plan, due for publication on June 15th 2014. (Over 2/3 of OGP participating countries are currently developing new action plans.) The recommendations made by the IRM are designed to feed into the process of creating the new plans, making specific suggestions to improve the ambition and quality of new commitments and civil society engagement. However, these recommendations will only be acted upon if they are widely publicized at the national level and used by both civil society and government officials. If the reports remain unread, the likelihood of meaningful reforms through OGP will decrease…”

Selected Readings on Big Data

Curated on Posted on by Andrew Young

The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of big data was originally published in 2014.

Big Data refers to the wide-scale collection, aggregation, storage, analysis and use of data. Government is increasingly in control of a massive amount of raw data that, when analyzed and put to use, can lead to new insights on everything from public opinion to environmental concerns. The burgeoning literature on Big Data argues that it generates value by: creating transparency; enabling experimentation to discover needs, expose variability, and improve performance; segmenting populations to customize actions; replacing/supporting human decision making with automated algorithms; and innovating new business models, products and services. The insights drawn from data analysis can also be visualized in a manner that passes along relevant information, even to those without the tech savvy to understand the data on its own terms (see The GovLab Selected Readings on Data Visualization).

Selected Reading List (in alphabetical order)

Annotated Selected Reading List (in alphabetical order)

Australian Government Information Management Office. The Australian Public Service Big Data Strategy: Improved Understanding through Enhanced Data-analytics Capability Strategy Report. August 2013. http://bit.ly/17hs2xY.

  • This Big Data Strategy produced for Australian Government senior executives with responsibility for delivering services and developing policy is aimed at ingraining in government officials that the key to increasing the value of big data held by government is the effective use of analytics. Essentially, “the value of big data lies in [our] ability to extract insights and make better decisions.”
  • This positions big data as a national asset that can be used to “streamline service delivery, create opportunities for innovation, identify new service and policy approaches as well as supporting the effective delivery of existing programs across a broad range of government operations.”

Bollier, David. The Promise and Peril of Big Data. The Aspen Institute, Communications and Society Program, 2010. http://bit.ly/1a3hBIA.

  • This report captures insights from the 2009 Roundtable exploring uses of Big Data within a number of important consumer behavior and policy implication contexts.
  • The report concludes that, “Big Data presents many exciting opportunities to improve modern society. There are incalculable opportunities to make scientific research more productive, and to accelerate discovery and innovation. People can use new tools to help improve their health and well-being, and medical care can be made more efficient and effective. Government, too, has a great stake in using large databases to improve the delivery of government services and to monitor for threats to national security.
  • However, “Big Data also presents many formidable challenges to government and citizens precisely because data technologies are becoming so pervasive, intrusive and difficult to understand. How shall society protect itself against those who would misuse or abuse large databases? What new regulatory systems, private-law innovations or social practices will be capable of controlling anti-social behaviors–and how should we even define what is socially and legally acceptable when the practices enabled by Big Data are so novel and often arcane?”

Boyd, Danah and Kate Crawford. “Six Provocations for Big Data.” A Decade in Internet Time: Symposium on the Dynamics of the Internet and Society. September 2011. http://bit.ly/1jJstmz.

  • In this paper, Boyd and Crawford raise challenges to unchecked assumptions and biases regarding big data. The paper makes a number of assertions about the “computational culture” of big data and pushes back against those who consider big data to be a panacea.
  • The authors’ provocations for big data are:
    • Automating Research Changes the Definition of Knowledge
    • Claims to Objectivity and Accuracy are Misleading
    • Big Data is not always Better Data
    • Not all Data is Equivalent
    • Just Because it is accessible doesn’t make it ethical
    • Limited Access to Big Data creates New Digital Divide

The Economist Intelligence Unit. Big Data and the Democratisation of Decisions. October 2012. http://bit.ly/17MpH8L.

  • This report from the Economist Intelligence Unit focuses on the positive impact of big data adoption in the private sector, but its insights can also be applied to the use of big data in governance.
  • The report argues that innovation can be spurred by democratizing access to data, allowing a diversity of stakeholders to “tap data, draw lessons and make business decisions,” which in turn helps companies and institutions respond to new trends and intelligence at varying levels of decision-making power.

Manyika, James, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs, Charles Roxburgh, and Angela Hung Byers. Big Data: The Next Frontier for Innovation, Competition, and Productivity.  McKinsey & Company. May 2011. http://bit.ly/18Q5CSl.

  • This report argues that big data “will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, and that “leaders in every sector will have to grapple with the implications of big data.” 
  • The report offers five broad ways in which using big data can create value:
    • First, big data can unlock significant value by making information transparent and usable at much higher frequency.
    • Second, as organizations create and store more transactional data in digital form, they can collect more accurate and detailed performance information on everything from product inventories to sick days, and therefore expose variability and boost performance.
    • Third, big data allows ever-narrower segmentation of customers and therefore much more precisely tailored products or services.
    • Fourth, big sophisticated analytics can substantially improve decision-making.
    • Finally, big data can be used to improve the development of the next generation of products and services.

The Partnership for Public Service and the IBM Center for The Business of Government. “From Data to Decisions II: Building an Analytics Culture.” October 17, 2012. https://bit.ly/2EbBTMg.

  • This report discusses strategies for better leveraging data analysis to aid decision-making. The authors argue that, “Organizations that are successful at launching or expanding analytics program…systematically examine their processes and activities to ensure that everything they do clearly connects to what they set out to achieve, and they use that examination to pinpoint weaknesses or areas for improvement.”
  • While the report features many strategies for government decisions-makers, the central recommendation is that, “leaders incorporate analytics as a way of doing business, making data-driven decisions transparent and a fundamental approach to day-to-day management. When an analytics culture is built openly, and the lessons are applied routinely and shared widely, an agency can embed valuable management practices in its DNA, to the mutual benet of the agency and the public it serves.”

TechAmerica Foundation’s Federal Big Data Commission. “Demystifying Big Data: A Practical Guide to Transforming the Business of Government.” 2013. http://bit.ly/1aalUrs.

  • This report presents key big data imperatives that government agencies must address, the challenges and the opportunities posed by the growing volume of data and the value Big Data can provide. The discussion touches on the value of big data to businesses and organizational mission, presents case study examples of big data applications, technical underpinnings and public policy applications.
  • The authors argue that new digital information, “effectively captured, managed and analyzed, has the power to change every industry including cyber security, healthcare, transportation, education, and the sciences.” To ensure that this opportunity is realized, the report proposes a detailed big data strategy framework with the following steps: define, assess, plan, execute and review.

World Economic Forum. “Big Data, Big Impact: New Possibilities for International Development.” 2012. http://bit.ly/17hrTKW.

  • This report examines the potential for channeling the “flood of data created every day by the interactions of billions of people using computers, GPS devices, cell phones, and medical devices” into “actionable information that can be used to identify needs, provide services, and predict and prevent crises for the benefit of low-income populations”
  • The report argues that, “To realise the mutual benefits of creating an environment for sharing mobile-generated data, all ecosystem actors must commit to active and open participation. Governments can take the lead in setting policy and legal frameworks that protect individuals and require contractors to make their data public. Development organisations can continue supporting governments and demonstrating both the public good and the business value that data philanthropy can deliver. And the private sector can move faster to create mechanisms for the sharing data that can benefit the public.”

Big Data and the Future of Privacy

Curated on Posted on by Stefaan Verhulst

John Podesta at the White House blog: “Last Friday, the President spoke to the American people, and the international community, about how to keep us safe from terrorism in a changing world while upholding America’s commitment to liberty and privacy that our values and Constitution require. Our national security challenges are real, but that is surely not the only space where changes in technology are altering the landscape and challenging conceptions of privacy.
That’s why in his speech, the President asked me to lead a comprehensive review of the way that “big data” will affect the way we live and work; the relationship between government and citizens; and how public and private sectors can spur innovation and maximize the opportunities and free flow of this information while minimizing the risks to privacy. I will be joined in this effort by Secretary of Commerce Penny Pritzker, Secretary of Energy Ernie Moniz, the President’s Science Advisor John Holdren, the President’s Economic Advisor Gene Sperling and other senior government officials.
I would like to explain a little bit more about the review, its scope, and what you can expect over the next 90 days.
We are undergoing a revolution in the way that information about our purchases, our conversations, our social networks, our movements, and even our physical identities are collected, stored, analyzed and used. The immense volume, diversity and potential value of data will have profound implications for privacy, the economy, and public policy. The working group will consider all those issues, and specifically how the present and future state of these technologies might motivate changes in our policies across a range of sectors.
When we complete our work, we expect to deliver to the President a report that anticipates future technological trends and frames the key questions that the collection, availability, and use of “big data” raise – both for our government, and the nation as a whole. It will help identify technological changes to watch, whether those technological changes are addressed by the U.S.’s current policy framework and highlight where further government action, funding, research and consideration may be required.
This is going to be a collaborative effort. The President’s Council of Advisors on Science and Technology (PCAST) will conduct a study to explore in-depth the technological dimensions of the intersection of big data and privacy, which will feed into this broader effort. Our working group will consult with industry, civil liberties groups, technologists, privacy experts, international partners, and other national and local government officials on the significance of and future for these technologies. Finally, we will be working with a number of think tanks, academic institutions, and other organizations around the country as they convene stakeholders to discuss these very issues and questions. Likewise, many abroad are analyzing and responding to the challenge and seizing the opportunity of big data. These discussions will help to inform our study.
While we don’t expect to answer all these questions, or produce a comprehensive new policy in 90 days, we expect this work to serve as the foundation for a robust and forward-looking plan of action. Check back on this blog for updates on how you can get involved in the debate and for status updates on our progress.”

Use big data and crowdsourcing to detect nuclear proliferation, says DSB

Curated on Posted on by Stefaan Verhulst

FierceGovernmentIT: “A changing set of counter-nuclear proliferation problems requires a paradigm shift in monitoring that should include big data analytics and crowdsourcing, says a report from the Defense Science Board.
Much has changed since the Cold War when it comes to ensuring that nuclear weapons are subject to international controls, meaning that monitoring in support of treaties covering declared capabilities should be only one part of overall U.S. monitoring efforts, says the board in a January report (.pdf).
There are challenges related to covert operations, such as testing calibrated to fall below detection thresholds, and non-traditional technologies that present ambiguous threat signatures. Knowledge about how to make nuclear weapons is widespread and in the hands of actors who will give the United States or its allies limited or no access….
The report recommends using a slew of technologies including radiation sensors, but also exploitation of digital sources of information.
“Data gathered from the cyber domain establishes a rich and exploitable source for determining activities of individuals, groups and organizations needed to participate in either the procurement or development of a nuclear device,” it says.
Big data analytics could be used to take advantage of the proliferation of potential data sources including commercial satellite imaging, social media and other online sources.
The report notes that the proliferation of readily available commercial satellite imagery has created concerns about the introduction of more noise than genuine signal. “On balance, however, it is the judgment from the task force that more information from remote sensing systems, both commercial and dedicated national assets, is better than less information,” it says.
In fact, the ready availability of commercial imagery should be an impetus of governmental ability to find weak signals “even within the most cluttered and noisy environments.”
Crowdsourcing also holds potential, although the report again notes that nuclear proliferation analysis by non-governmental entities “will constrain the ability of the United States to keep its options open in dealing with potential violations.” The distinction between gathering information and making political judgments “will erode.”
An effort by Georgetown University students (reported in the Washington Post in 2011) to use open source data analyzing the network of tunnels used in China to hide its missile and nuclear arsenal provides a proof-of-concept on how crowdsourcing can be used to augment limited analytical capacity, the report says – despite debate on the students’ work, which concluded that China’s arsenal could be many times larger than conventionally accepted…
For more:
– download the DSB report, “Assessment of Nuclear Monitoring and Verification Technologies” (.pdf)
– read the WaPo article on the Georgetown University crowdsourcing effort”