Motivating Participation in Crowdsourced Policymaking: The Interplay of Epistemic and Interactive Aspects


Paper by Tanja Aitamurto and Jorge Saldivar in Proceedings of ACM Human-Computer Interaction (CSCW ’18):  “…we examine the changes in motivation factors in crowdsourced policymaking. By drawing on longitudinal data from a crowdsourced law reform, we show that people participated because they wanted to improve the law, learn, and solve problems. When crowdsourcing reached a saturation point, the motivation factors weakened and the crowd disengaged. Learning was the only factor that did not weaken. The participants learned while interacting with others, and the more actively the participants commented, the more likely they stayed engaged. Crowdsourced policymaking should thus be designed to support both epistemic and interactive aspects. While the crowd’s motives were rooted in self-interest, their knowledge perspective showed common-good orientation, implying that rather than being dichotomous, motivation factors move on a continuum. The design of crowdsourced policymaking should support the dynamic nature of the process and the motivation factors driving it….(More)”.

Chatbots Are a Danger to Democracy


Jamie Susskind in the New York Times: “As we survey the fallout from the midterm elections, it would be easy to miss the longer-term threats to democracy that are waiting around the corner. Perhaps the most serious is political artificial intelligence in the form of automated “chatbots,” which masquerade as humans and try to hijack the political process.

Chatbots are software programs that are capable of conversing with human beings on social media using natural language. Increasingly, they take the form of machine learning systems that are not painstakingly “taught” vocabulary, grammar and syntax but rather “learn” to respond appropriately using probabilistic inference from large data sets, together with some human guidance.

Some chatbots, like the award-winning Mitsuku, can hold passable levels of conversation. Politics, however, is not Mitsuku’s strong suit. When asked “What do you think of the midterms?” Mitsuku replies, “I have never heard of midterms. Please enlighten me.” Reflecting the imperfect state of the art, Mitsuku will often give answers that are entertainingly weird. Asked, “What do you think of The New York Times?” Mitsuku replies, “I didn’t even know there was a new one.”

Most political bots these days are similarly crude, limited to the repetition of slogans like “#LockHerUp” or “#MAGA.” But a glance at recent political history suggests that chatbots have already begun to have an appreciable impact on political discourse. In the buildup to the midterms, for instance, an estimated 60 percent of the online chatter relating to “the caravan” of Central American migrants was initiated by chatbots.

In the days following the disappearance of the columnist Jamal Khashoggi, Arabic-language social media erupted in support for Crown Prince Mohammed bin Salman, who was widely rumored to have ordered his murder. On a single day in October, the phrase “we all have trust in Mohammed bin Salman” featured in 250,000 tweets. “We have to stand by our leader” was posted more than 60,000 times, along with 100,000 messages imploring Saudis to “Unfollow enemies of the nation.” In all likelihood, the majority of these messages were generated by chatbots.

Chatbots aren’t a recent phenomenon. Two years ago, around a fifth of all tweets discussing the 2016 presidential election are believed to have been the work of chatbots. And a third of all traffic on Twitter before the 2016 referendum on Britain’s membership in the European Union was said to come from chatbots, principally in support of the Leave side….

We should also be exploring more imaginative forms of regulation. Why not introduce a rule, coded into platforms themselves, that bots may make only up to a specific number of online contributions per day, or a specific number of responses to a particular human? Bots peddling suspect information could be challenged by moderator-bots to provide recognized sources for their claims within seconds. Those that fail would face removal.

We need not treat the speech of chatbots with the same reverence that we treat human speech. Moreover, bots are too fast and tricky to be subject to ordinary rules of debate. For both those reasons, the methods we use to regulate bots must be more robust than those we apply to people. There can be no half-measures when democracy is at stake….(More)”.

Prototyping for policy


Camilla Buchanan at Policy Lab Blog: “…Prototyping is common in the product and industrial design process – it has also extended to less tangible design sub-specialisms like service design. Prototypes are low fidelity mockups of an imagined idea or solution and they allow for testing before implementation. A product can be tested in cardboard form, a website can be tested through a hand drawn wireframe, a service interaction can be tested with roleplay….

Policy is a more hazy concept, it implies a message or statement of intent which sets a direction of work. Before a policy statement is made there will be some form of strategic conversation. In governments this usually takes place at the political level amongst ministers or within political parties and there is little scope for outsiders to enter these spaces. Policies set by elected officials tend to be high-level statements – as short as a line or two in a manifesto – expressed through speeches or other policy documents like White Papers.

A policy statement therefore expresses a goal and it sets in motion realisations of that goal through laws, programmes or other activities. A short policy statement can determine major programmes of government work for many years. Policy programmes have their own problem spaces to define and there is much to do in order to translate a policy goal into practical activities. Whether consciously or not, policy programmes touch the lives of millions of people and the unintended consequences or conflicting results from the enactment of poor policies can be extremely harmful. The potential benefits of testing policy goals before they are put in place are therefore huge.

The idea of design interacting directly with policy making has been explored in the last five or so years, and the first book on this subject was published in 2014. In government terms this work is very new and there is relatively little precision in current explanations. Prototyping for Policy made space to explore this better….

It is still early days for articulating exactly how and why the “physical making” aspect of design is so important in government contexts but almost all designers working in this way will emphasis it. An obvious benefit to building something real is that operational errors become more evident. And because prototypes make ideas manifest, they can help to build consensus or reveal where it is absent. They are also a way of asking questions and the presence of a prototype often prompts discussion of broader issues.

As an example, the picture below shows staff from the Service Design team at the consultancy OpenRoad in Vancouver considering advanced prototypes of changes to transit fare policy for the city for their client TransLink….(More).

Prototypes of changes to transit fares by OpenRoad

New methods help identify what drives sensitive or socially unacceptable behaviors


Mary Guiden at Physorg: “Conservation scientists and statisticians at Colorado State University have teamed up to solve a key problem for the study of sensitive behaviors like poaching, harassment, bribery, and drug use.

Sensitive behaviors—defined as socially unacceptable or not compliant with rules and regulations—are notoriously hard to study, researchers say, because people often do not want to answer direct questions about them.

To overcome this challenge, scientists have developed indirect questioning approaches that protect responders’ identities. However, these methods also make it difficult to predict which sectors of a population are more likely to participate in sensitive behaviors, and which factors, such as knowledge of laws, education, or income, influence the probability that an individual will engage in a sensitive behavior.

Assistant Professor Jennifer Solomon and Associate Professor Michael Gavin of the Department of Human Dimensions of Natural Resources at CSU, and Abu Conteh from MacEwan University in Alberta, Canada, have teamed up with Professor Jay Breidt and doctoral student Meng Cao in the CSU Department of Statistics to develop a new method to solve the problem.

The study, “Understanding the drivers of sensitive behavior using Poisson regression from quantitative randomized response technique data,” was published recently in PLOS One.

Conteh, who, as a doctoral student, worked with Gavin in New Zealand, used a specific technique, known as quantitative randomized response, to elicit confidential answers to questions on behaviors related to non-compliance with natural resource regulations from a protected area in Sierra Leone.

In this technique, the researcher conducting interviews has a large container containing pingpong balls, some with numbers and some without numbers. The interviewer asks the respondent to pick a ball at random, without revealing it to the interviewer. If the ball has a number, the respondent tells the interviewer the number. If the ball does not have a number, the respondent reveals how many times he illegaly hunted animals in a given time period….

Armed with the new computer program, the scientists found that people from rural communities with less access to jobs in urban centers were more likely to hunt in the reserve. People in communities with a greater proportion people displaced by Sierra Leone’s 10-year civil war were also more likely to hunt illegally….(More)”

The researchers said that collaborating across disciplines was and is key to addressing complex problems like this one. It is commonplace for people to be noncompliant with rules and regulations and equally important for social scientists to analyze these behaviors….(More)”

New possibilities for cutting corruption in the public sector


Rema Hanna and Vestal McIntyre at VoxDev: “In their day-to-day dealings with the government, citizens of developing countries frequently encounter absenteeism, demands for bribes, and other forms of low-level corruption. When researchers used unannounced visits to gauge public-sector attendance across six countries, they found that 19% of teachers and 35% of health workers were absent during work hours (Chaudhury et al. 2006). A recent survey found that nearly 70% of Indians reported paying a bribe to access public services.

Corruption can set into motion vicious cycles: the government is impoverished of resources to provide services, and citizens are deprived of the things they need. For the poor, this might mean that they live without quality education, electricity, healthcare, and so forth. In contrast, the rich can simply pay the bribe or obtain the service privately, furthering inequality.

Much of the discourse around corruption focuses on punishing corrupt offenders. But punitive measures can only go so far, especially when corruption is seen as the ‘norm’ and is thus ingrained in institutions. 

What if we could find ways of identifying the ‘goodies’ – those who enter the public sector out of a sense of civic responsibility, and serve honestly – and weeding out the ‘baddies’ before they are hired? New research shows this may be possible....

You can test personality

For decades, questionnaires have dissected personality into the ‘Big Five’ traits of openness, conscientiousness, extraversion, agreeableness, and neuroticism. These traits have been shown to be predictors of behaviour and outcomes in the workplace (Heckman 2011). As a result, private sector employers often use them in recruiting. Nobel laureate James Heckman and colleagues found that standardized adolescent measures of locus control and self-esteem (components of neuroticism) predict adult earnings to a similar degree as intelligence (Kautz et al. 2014).

Personality tests have also been put to use for the good of the poor: our colleague at Harvard’s Evidence for Policy Design (EPoD), Asim Ijaz Khwaja and collaborators have tested, and then subsequently expanded, personality tests as a basis for identifying reliable borrowers. This way, lenders can offer products to poor entrepreneurs who lack traditional credit histories, but who are nonetheless creditworthy. (See the Entrepreneurial Finance Lab’s website.)

You can test for civic-mindedness and honesty

Out of the personality-test literature grew the Perry Public Sector Motivation questionnaire (Perry 1996), which comprises a series of statements that respondents can state their level of agreement or disagreement with measures of civic-mindedness. The questionnaire has six modules, including “Attraction to Policy Making”, “Commitment to Public Interest”, “Social Justice”, “Civic Duty”, “Compassion”, and “Self-Sacrifice.” Studies have found that scores on the instrument correlate positively with job performance, ethical behaviour, participation in civic organisations, and a host of other good outcomes (for a review, see Perry and Hondeghem 2008).

You can also measure honesty in different ways. For example, Fischbacher and Föllmi-Heusi (2013) formulated a game in which subjectsroll a die and write down the number that they get, receiving higher cash rewards for larger reported numbers. While this does not reveal with certainty if any one subject lied since no one else sees the die, it does reveal how far their reported numbers were from the uniform distribution. Those with high dice high points have a higher probability of having cheated. Implementing this, the authors found that “about 20% of inexperienced subjects lie to the fullest extent possible while 39% of subjects are fully honest.”

These and a range of other tools for psychological profiling have opened up new possibilities for improving governance. Here are a few lessons this new literature has yielded….(More)”.

Beyond GDP: Measuring What Counts for Economic and Social Performance


OECD Book: “Metrics matter for policy and policy matters for well-being. In this report, the co-chairs of the OECD-hosted High Level Expert Group on the Measurement of Economic Performance and Social Progress, Joseph E. Stiglitz, Jean-Paul Fitoussi and Martine Durand, show how over-reliance on GDP as the yardstick of economic performance misled policy makers who did not see the 2008 crisis coming. When the crisis did hit, concentrating on the wrong indicators meant that governments made inadequate policy choices, with severe and long-lasting consequences for many people.

While GDP is the most well-known, and most powerful economic indicator, it can’t tell us everything we need to know about the health of countries and societies. In fact, it can’t even tell us everything we need to know about economic performance. We need to develop dashboards of indicators that reveal who is benefitting from growth, whether that growth is environmentally sustainable, how people feel about their lives, what factors contribute to an individual’s or a country’s success. This book looks at progress made over the past 10 years in collecting well-being data, and in using them to inform policies. An accompanying volume, For Good Measure: Advancing Research on Well-being Metrics Beyond GDP, presents the latest findings from leading economists and statisticians on selected issues within the broader agenda on defining and measuring well-being….(More)”

Time to step away from the ‘bright, shiny things’? Towards a sustainable model of journalism innovation in an era of perpetual change


Paper by Julie Posetti: “The news industry has a focus problem. ‘Shiny Things Syndrome’ –obsessive pursuit of technology in the absence of clear and research-informed strategies – is the diagnosis offered by participants in this research. The cure suggested involves a conscious shift by news publishers from being technology-led, to audience-focused and technology-empowered.

This report presents the first research from the Journalism Innovation Project anchored within the Reuters Institute for the Study of Journalism at the University of Oxford. It is based on analysis of discussions with 39 leading journalism innovators from around the world, representing 27 different news publishers. The main finding of this research is that relentless, high-speed pursuit of technology-driven innovation could be almost as dangerous as stagnation. While ‘random acts of innovation’, organic experimentation, and willingness to embrace new technology remain valuable features of an innovation culture, there is evidence of an increasingly urgent requirement for the cultivation of sustainable innovation frameworks and clear, longer-term strategies within news organisations.

Such a ‘pivot’ could also address the growing problem of burnout associated with ‘innovation fatigue’. To be effective, such strategies need to be focused on engaging audiences – the ‘end users’ – and they would benefit from research-informed innovation ‘indicators’.

The key themes identified in this report are:
a. The risks of ‘Shiny Things Syndrome’ and the impacts of ‘innovation fatigue’ in an era of perpetual change
b. Audiences: starting (again) with the end user
c. The need for a ‘user-led’ approach to researching journalism innovation and developing foundational frameworks to support it

Additionally, new journalism innovation considerations are noted, such as the implications of digital technologies’ ‘unintended consequences’, and the need to respond innovatively to media freedom threats – such as gendered online harassment, privacy breaches, and orchestrated disinformation campaigns….(More)”.

Our bold vision for Australia’s digital future


Speech by Minister for Human Services and Digital Transformation, Michael Keenan: ” …The job of the Australian Government is to keep Australia at the forefront of these changes and work to utilise digital advances for the good of the whole population….

This is the most exciting story in town. Digital transformation will change how government does things for you. It will mean much less red tape and much more responsive policy. It means we can harness data to deliver social and economic benefits. It will mean the government can be there whenever you need us, but we will stay out of your way when you don’t, so you can go about your life with minimal interference….

To power this transformation forward I am very pleased to announce today the launch of our Digital Transformation Strategy. This Strategy sets out a bold vision for Australia to remain in the top 3 digital governments in the world by 2025..

The Strategy will provide a clear direction for our work on data and digital transformation, with the aim to have all government services available digitally in the next 7 years.

The Strategy is accompanied by a comprehensive Roadmap of key projects and milestones being rolled out over the next two years….

Our new approach is to design services that respond to common life events — like having a baby or starting a new job.

This is a big change from the way we do things now, where a member of the public has to go to any number of government departments, online or community groups to find information and services.

We currently organise government around our imperatives and needs, but in the future we will organise it around yours….

For example, digital technology will make it possible to deliver a fully personalised digital assistant.

That means that everyone accessing government services may have access to their own dedicated, personal avatar assistant, that can talk in their language, know their preferences, understand their needs and provide a familiar face to dealing with the government.

This is not science-fiction. In fact, a couple of years ago, my department had a prototype – Nadia – that was world leading.

Unfortunately, Nadia wasn’t quite ready at the time to deliver on the promise, but technology is evolving rapidly. I am confident that the day when such assistants will be around us – both in government and in private enterprise – is not that far away.

We already see smart assistants in our lives, whether it’s Siri and Cortana in our phones and computers, or Amazon’s Alexa or Google in our homes.

Having your own dedicated government digital assistant also means that, as a government, we will be able to deliver truly personalised services.

While we are starting with re-focusing government services around life events, our ambition is to end up offering you tailored support when you need it, based on your individual circumstances….(More)”.

See also: Digital Transformation Strategy.


Fostering innovation in public procurement through public private partnerships


Paper by Nunzia Carbonara in the Journal of Public Procurement: “The prevailing view in the studies on Public Private Partnerships (PPPs) is that PPPs can improve the quality and efficiency of infrastructure services and facilitates innovation in infrastructure developments. Although researchers highlight the potentiality of PPP models for stimulating innovation, they do not prove whether and in which conditions the PPP model is capable of developing innovative solutions. This paper aims to provide answers to the following key research questions: Which are the PPP features that favor innovation? How properly structure a PPP to foster innovation?

With this aim, drawing upon the main streams of studies on innovation, the authors develop a conceptual framework that identifies the PPP features that can influence the innovativeness. Second, they define how these PPP features have to be structured to foster innovation.

The authors find that a wider involvement of the private sector will increase the level of innovation. The industry structure exerts opposite forces on innovation: the dominance of large-sized firms is positively related to innovative output, whereas the market concentration negatively affects innovation. Performance-based contracts should be used in the context of PPP instead of traditional contracts. Finally, the authors find that, to fully exploit the networking effects on innovation, cooperation and trusting among partners involved in PPPs should be enhanced….(More)”.

Open Government Data for Inclusive Development


Chapter by F. van Schalkwyk and M,  Cañares in  “Making Open Development Inclusive”, MIT Press by Matthew L. Smith and Ruhiya Kris Seward (Eds):  “This chapter examines the relationship between open government data and social inclusion. Twenty-eight open data initiatives from the Global South are analyzed to find out how and in what contexts the publication of open government data tend to result in the inclusion of habitually marginalized communities in governance processes such that they may lead better lives.

The relationship between open government data and social inclusion is examined by presenting an analysis of the outcomes of open data projects. This analysis is based on a constellation of factors that were identified as having a bearing on open data initiatives with respect to inclusion. The findings indicate that open data can contribute to an increase in access and participation— both components of inclusion. In these cases, this particular finding indicates that a more open, participatory approach to governance practice is taking root. However, the findings also show that access and participation approaches to open government data have, in the cases studied here, not successfully disrupted the concentration of power in political and other networks, and this has placed limits on open data’s contribution to a more inclusive society.

The chapter starts by presenting a theoretical framework for the analysis of the relationship between open data and inclusion. The framework sets out the complex relationship between social actors, information and power in the network society. This is critical, we suggest, in developing a realistic analysis of the contexts in which open data activates its potential for
transformation. The chapter then articulates the research question and presents the methodology used to operationalize those questions. The findings and discussion section that follows examines the factors affecting the relationship between open data and inclusion, and how these factors
are observed to play out across several open data initiatives in different contexts. The chapter ends with concluding remarks and an attempt to synthesize the insights that emerged in the preceding sections….(More)”.