Behavioural Insights and Public Policy


OECD Report: ““Behavioural insights”, or insights derived from the behavioural and social sciences, including decision making, psychology, cognitive science, neuroscience, organisational and group behaviour, are being applied by governments with the aim of making public policies work better. As their use has become more widespread, however, questions are being raised about their effectiveness as well as their philosophical underpinnings. This report discusses the use and reach of behavioural insights, drawing on a comprehensive collection of over 100 applications across the world and policy sectors, including consumer protection, education, energy, environment, finance, health and safety, labour market policies, public service delivery, taxes and telecommunications. It suggests ways to ensure that this experimental approach can be successfully and sustainably used as a public policy tool…(More)”.

Big Data and the Well-Being of Women and Girls: Applications on the Social Scientific Frontier


Report by Bapu Vaitla et al for Data2X: “Conventional forms of data—household surveys, national economic accounts, institutional records, and so on—struggle to capture detailed information on the lives of women and girls. The many forms of big data, from geospatial information to digital transaction logs to records of internet activity, can help close the global gender data gap. This report profiles several big data projects that quantify the economic, social, and health status of women and girls…

This report illustrates the potential of big data in filling the global gender data gap. The rise of big data, however, does not mean that traditional sources of data will become less important. On the contrary, the successful implementation of big data approaches requires investment in proven methods of social scientific research, especially for validation and bias correction of big datasets. More broadly, the invisibility of women and girls in national and international data systems is a political, not solely a technical, problem. In the best case, the current “data revolution” will be reimagined as a step towards better “data governance”: a process through which novel types of information catalyze the creation of new partnerships to advocate for scientific, policy, and political reforms that include women and girls in all spheres of social and economic life….(More)”.

Avoiding Data Graveyards: Insights from Data Producers & Users in Three Countries


Report by Samantha Custer and Tanya Sethi: “Government, development partner, and civil society leaders make decisions every day about how to allocate, monitor and evaluate development assistance. Policymakers and practitioners can theoretically draw from more data sources in a variety of formats than ever before to inform these decisions,but will they choose to do so? Those who collect data and produce evidence are often far removed from those who ultimately influence and make decisions. Technocratic ideals of evidence-informed policymaking and data-driven decision-making are easily undercut by individual prerogatives, organizational imperatives, and ecosystem-wide blind spots.

In 2016, researchers from the AidData Center for Development Policy interviewed nearly 200 decision-makers and those that advise them in Honduras, Timor-Leste, and Senegal. Central government officials, development partner representatives based in country, and leaders of civil society organizations (CSOs) shared their experiences in producing and using data to target development projects, monitor progress, and evaluate results.

Specifically, the report answers three questions:

  • Who produces development data and statistics, for what purposes and for whom?
  • What are the the technical and political constraints for decision-makers to use development data in their work?
  • What can funders and producers do differently to encourage use of data and evidence in decision-making?

Using a theory of change, we identify nine barriers to the use of data and corresponding operating principles for funders and producers to make demand-driven investments in the next generation of development data and statistics….(More)”.

Towards an experimental culture in government: reflections on and from practice


 Jesper Christiansen et al at Nesta: “…we share some initial reflections from this work with the hope of prompting a useful discussion about how to articulate the value of experimentation as well as what to consider when strategically planning and doing experiments in government contexts.

Reflection 1: Experimentation as a way of accelerating learning and exploring “the room of the non-obvious”

Governments need to increase their pace and agility in learning about which ideas have the highest potential value-creation and make people’s lives the rationale of governing.

Experimental approaches accelerate learning by systematically testing assumptions and identifying knowledge gaps. What is there to be known about the problem and the function, fit and probability of a suggested solution? Experimentation helps fill these gaps without allocating too much time or resource, and helps governments accelerate the exploration of new potential solution spaces.

This approach is often a key contribution of government policy labs and public sector innovation teams. Units like Lab para la Ciudad in Mexico City, Alberta Co-Lab in Canada, Behavioural insights and Design Unit in Singapore, MindLab in Denmark and Policy Lab in the UK are specifically set up to promote, develop and/or embed experimental approaches and accelerate user-centred learning in different levels of government.

In addition, creating a culture of experimentation extends the policy options available by creating a political environment to test non-linear approaches to wicked problems. In our training, we often distinguish between “the room of the obvious” and the “room of the non-obvious”. By designing portfolios of experiments that include – by deliberate design – the testing of at least some non-linear, non-obvious solutions, government officials can move beyond the automatic mode of many policy interventions and explore the “room of the non-obvious” in a safe-to-fail context (think barbers to prevent suicides or dental insurance to prevent deforestation).

Reflection 2: Experimentation as a way of turning uncertainty into risk

In everyday language, uncertainty and risk are two notions that are often used interchangeably; yet they are very different concepts. Take, for example, the implementation of a solution. Risk is articulated in terms of the probability that the solution will generate a certain outcome. It is measurable (e.g. based on existing data there is X per cent chance of success, or X per cent chance of failure) and qualitative risk factors can be developed and described.

Uncertainty, on the other hand, is a situation where there is a lack of probabilities. There is no prior data on how the solution might perform; future outcomes are not known, and can therefore not be measured. The chance of success can be 0 per cent, 100 per cent, or anything in between (see table below).

There is often talk of the need for government to become more of a ‘risk taker’, or to become better at ‘managing risk’. But as Marco Steinberg, founder of strategic design practice Snowcone & Haystack, recently reminded us, risk-management – where probabilities are known – is actually something that governments do quite well. Issues arise when governments’ legacies can’t shape current solutions: when governments have to deal with the uncertainty of complex challenges by adapting or creating entirely new service systems to fit the needs of our time.

For example, when transforming a health system to fit the needs of our time, little can be known about the probabilities in terms of what might work when establishing a new practice. Or when transforming a social care system to accommodate the lives of vulnerable families, entirely new concepts for solutions need to be explored. “If you don’t have a map showing the way, you have to write one yourself,” as Sam Rye puts it in his inspirational example on the use of experimental cards at The Labs Wananga….

Reflection 3: Experimentation as a way to reframe failure and KPIs

Reflection 4: Experimentation on a continuum between exploration and validation

Reflection 5: Experimentation as cultural change…(More)”.

Ethics of the Health-Related Internet of Things: Mapping the Debate


Paper by Brent Mittelstadt: “The Internet of Things is increasingly spreading into the domain of medical and social care. Internet-enabled devices for monitoring and managing the health and well-being of users outside of traditional medical institutions have rapidly become common tools to support healthcare. Health-related Internet of Things (H-IoT) technologies increasingly play a key role in health management, for purposes including disease prevention, real-time tele-monitoring of patient’s functions, testing of treatments, fitness and well-being monitoring, medication dispensation, and health research data collection. H-IoT promises many benefits for health and healthcare. However, it also raises a host of ethical problems stemming from the inherent risks of Internet enabled devices, the sensitivity of health-related data, and their impact on the delivery of healthcare. This paper maps the main ethical problems that have been identified by the relevant literature and identifies key themes in the on-going debate on ethical problems concerning H-IoT….(More)”

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)”

Software used to predict crime can now be scoured for bias


Dave Gershgorn in Quartz: “Predictive policing, or the idea that software can foresee where crime will take place, is being adopted across the country—despite being riddled with issues. These algorithms have been shown to disproportionately target minorities, and private companies won’t reveal how their software reached those conclusions.

In an attempt to stand out from the pack, predictive-policing startup CivicScape has released its algorithm and data online for experts to scour, according to Government Technology magazine. The company’s Github page is already populated with its code, as well as a variety of documents detailing how its algorithm interprets police data and what variables are included when predicting crime.

“By making our code and data open-source, we are inviting feedback and conversation about CivicScape in the belief that many eyes make our tools better for all,” the company writes on Github. “We must understand and measure bias in crime data that can result in disparate public safety outcomes within a community.”…

CivicScape claims to not use race or ethnic data to make predictions, although it is aware of other indirect indicators of race that could bias its software. The software also filters out low-level drug crimes, which have been found to be heavily biased against African Americans.

While this startup might be the first to publicly reveal the inner machinations of its algorithm and data practices, it’s not an assurance that predictive policing can be made fair and transparent across the board.

“Lots of research is going on about how algorithms can be transparent, accountable, and fair,” the company writes. “We look forward to being involved in this important conversation.”…(More)”.

Scientific crowdsourcing in wildlife research and conservation: Tigers (Panthera tigris) as a case study


Özgün Emre Can, Neil D’Cruze, Margaret Balaskas, and David W. Macdonald in PLOS Biology: “With around 3,200 tigers (Panthera tigris) left in the wild, the governments of 13 tiger range countries recently declared that there is a need for innovation to aid tiger research and conservation. In response to this call, we created the “Think for Tigers” study to explore whether crowdsourcing has the potential to innovate the way researchers and practitioners monitor tigers in the wild. The study demonstrated that the benefits of crowdsourcing are not restricted only to harnessing the time, labor, and funds from the public but can also be used as a tool to harness creative thinking that can contribute to development of new research tools and approaches. Based on our experience, we make practical recommendations for designing a crowdsourcing initiative as a tool for generating ideas….(More)”

Civic Tech & GovTech: An Overlooked Lucrative Opportunity for Technology Startups


Elena Mesropyan at LTP: “Civic technology, or Civic Tech, is defined as a technology that enables greater participation in government or otherwise assists government in delivering citizen services and strengthening ties with the public. In other words, Civic Tech is where the public lends its talents, usually voluntarily, to help government do a better job. Moreover, Omidyar Network(which invested over $90 million across 35 civic tech organizations over the past decade) emphasizes that like a movement, civic tech is mission-driven, focused on making a change that benefits the public, and in most cases enables better public input into decision making.

As an emerging sector, Civic Tech is defined as incorporating any technology that is used to empower citizens or help make government more accessible, efficient, and effective. Civic tech isn’t just talk, Omidyar notes, it is a community of people coming together to create tangible projects and take action. The civic tech and open data movements have grown with the ubiquity of personal technology.

Civic tech can be defined as a convergence of various fields. An example of such convergence has been given by Knight Foundation, a national foundation with a goal to foster informed and engaged communities to power a healthy democracy:

Civic Tech & GovTech: An Overlooked Lucrative Opportunity for Technology Startups

Source: The Emergence of Civic Tech: Investments in a Growing Field

In the report called Engines of Change: What Civic Tech Can Learn From Social Movements, Civic Tech is divided into three categories:

  • Citizen to Citizen (C2C): Technology that improves citizen mobilization or improves connections between citizens
  • Citizen to Government (C2G): Technology that improves the frequency or quality of interaction between citizens and government
  • Government Technology (Govtech): Innovative technology solutions that make government more efficient and effective at service delivery

In 2015, Forbes reported that Civic Tech makes up almost a quarter of local and state government spendings on technology….

Civic tech initiatives address a diverse range of industries – from energy and payments to agriculture and telecommunications. Mattermark outlines the following top ten industries associated with government and civic tech:

…There are certainly much more examples of GovTech/civic tech companies, and just tech startups offering solutions across the board that can significantly improve the way governments are run, and services are delivered to citizens and businesses. More importantly, GovTech should no longer be considered a charity and solely non-profit type of venture. Recently reviewed global P2G payments flows only, for example, are estimated to be at $7.7 trillion and represent a significant feature of the global payments landscape. For the low- and lower-middle-income countries alone, the number hits $375 billion (~50% of annual government expenditure)….(More)”