Can mobile phone traces help shed light on the spread of Zika in Colombia?


Daniela Perrotta at UN Global Pulse: “Nowadays, thanks to the continuous growth of the transport infrastructures, millions of people travel every day around the world, resulting in more opportunities for infectious diseases to spread on a large scale faster than ever before. Already at the beginning of the last century, between 1918 and 1920, due to the special circumstances that were created during World War I, such as overcrowded camps and hospitals, and soldiers piled in trenches or in transit every day, the Spanish Flu killed between 20 and 100 million people, more than the war itself, resulting perhaps in the most lethal pandemic in the history of humankind.

The question that then arises naturally is the following: what if an equally virulent and deadly virus would hit today’s highly-connected world where nearly any point can be easily reached in less than a day’s journey?…

To overcome these limitations, more and more sources of data and innovative techniques are used to detect people’s physical movements over time, such as the digital traces generated by human activities on the Internet (e.g. Twitter, Flickr, Foursquare) or the footprints left by mobile phone users’ activity. In particular, cellular networks implicitly bring a large ensemble of details on human activity, incredibly helpful for capturing mobility patterns and providing a high-level picture of human mobility.

In this context, the Computational Epidemiology Lab at the ISI Foundation in Turin (Italy), in collaboration with UN Global Pulse, an innovation initiative of the United Nations, and Telefonica Research in Madrid (Spain), is currently investigating the human mobility patterns relevant to the epidemic spread of Zika at a local level, in Colombia, mainly focusing on the potential benefits of harnessing mobile phone data as a proxy for human movements. Specifically, mobile phone data are defined as the information elements contained in call detail records (CDRs) created by telecom operators for billing purposes and summarizing mobile subscribers’ activity, i.e. phone calls, text messages and data connections. Such “digital traces” are continuously collected by telecom providers and thus represent a relatively low-cost and endless source for identifying human movements at an unprecedented scale.

In this study, more than two billion encrypted and anonymized calls made by around seven million mobile phone users in Colombia have been used to identify population movements across the country. To assess the value of such human mobility derived from CDRs, the data is evaluated against more traditional methods: census data, that are considered as a reference since they ideally represent the entire population of the country and its mobility features, and mobility models, i.e. the gravity model and the radiation model, that are the most commonly used today. In particular, the gravity model assumes that the number of trips increases with population size and decreases with distances, whereas the radiation model assumes that the mobility depends on population density….(More)”.

How artificial intelligence is transforming the world


Report by Darrell West and John Allen at Brookings: “Most people are not very familiar with the concept of artificial intelligence (AI). As an illustration, when 1,500 senior business leaders in the United States in 2017 were asked about AI, only 17 percent said they were familiar with it. A number of them were not sure what it was or how it would affect their particular companies. They understood there was considerable potential for altering business processes, but were not clear how AI could be deployed within their own organizations.

Despite its widespread lack of familiarity, AI is a technology that is transforming every walk of life. It is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decisionmaking. Our hope through this comprehensive overview is to explain AI to an audience of policymakers, opinion leaders, and interested observers, and demonstrate how AI already is altering the world and raising important questions for society, the economy, and governance.

In this paper, we discuss novel applications in finance, national security, health care, criminal justice, transportation, and smart cities, and address issues such as data access problems, algorithmic bias, AI ethics and transparency, and legal liability for AI decisions. We contrast the regulatory approaches of the U.S. and European Union, and close by making a number of recommendations for getting the most out of AI while still protecting important human values.

In order to maximize AI benefits, we recommend nine steps for going forward:

  • Encourage greater data access for researchers without compromising users’ personal privacy,
  • invest more government funding in unclassified AI research,
  • promote new models of digital education and AI workforce development so employees have the skills needed in the 21st-century economy,
  • create a federal AI advisory committee to make policy recommendations,
  • engage with state and local officials so they enact effective policies,
  • regulate broad AI principles rather than specific algorithms,
  • take bias complaints seriously so AI does not replicate historic injustice, unfairness, or discrimination in data or algorithms,
  • maintain mechanisms for human oversight and control, and
  • penalize malicious AI behavior and promote cybersecurity….(More)

Table of Contents
I. Qualities of artificial intelligence
II. Applications in diverse sectors
III. Policy, regulatory, and ethical issues
IV. Recommendations
V. Conclusion

Digitalization and Public Sector Transformations


Book by Jannick Schou and Morten Hjelholt: “This book provides a study of governmental digitalization, an increasingly important area of policymaking within advanced capitalist states. It dives into a case study of digitalization efforts in Denmark, fusing a national policy study with local institutional analysis. Denmark is often framed as an international forerunner in terms of digitalizing its public sector and thus provides a particularly instructive setting for understanding this new political instrument.

Advancing a cultural political economic approach, Schou and Hjelholt argue that digitalization is far from a quick technological fix. Instead, this area must be located against wider transformations within the political economy of capitalist states. Doing so, the book excavates the political roots of digitalization and reveals its institutional consequences. It shows how new relations are being formed between the state and its citizens.

Digitalization and Public Sector Transformations pushes for a renewed approach to governmental digitalization and will be of interest to scholars working in the intersections of critical political economy, state theory and policy studies…(More)”.

A Race to the Top? The Aid Transparency Index and the Social Power of Global Performance Indicators


Paper by Dan Honig and Catherine Weaver: “Recent studies on global performance indicators (GPIs) reveal the distinct power that non-state actors can accrue and exercise in world politics. How and when does this happen? Using a mixed-methods approach, we examine the impact of the Aid Transparency Index (ATI), an annual rating and rankings index produced by the small UK-based NGO Publish What You Fund.

The ATI seeks to shape development aid donors’ behavior with respect to their transparency – the quality and kind of information they publicly disclose. To investigate the ATI’s effect, we construct an original panel dataset of donor transparency performance before and after ATI inclusion (2006-2013) to test whether, and which, donors alter their behavior in response to inclusion in the ATI. To further probe the causal mechanisms that explain variations in donor behavior we use qualitative research, including over 150 key informant interviews conducted between 2010-2017.

Our analysis uncovers the conditions under which the ATI influences powerful aid donors. Moreover, our mixed methods evidence reveals how this happens. Consistent with Kelley & Simmons’ central argument that GPIs exercise influence via social pressure, we find that the ATI shapes donor behavior primarily via direct effects on elites: the diffusion of professional norms, organizational learning, and peer pressure….(More)”.

Use our personal data for the common good


Hetan Shah at Nature: “Data science brings enormous potential for good — for example, to improve the delivery of public services, and even to track and fight modern slavery. No wonder researchers around the world — including members of my own organization, the Royal Statistical Society in London — have had their heads in their hands over headlines about how Facebook and the data-analytics company Cambridge Analytica might have handled personal data. We know that trustworthiness underpins public support for data innovation, and we have just seen what happens when that trust is lost….But how else might we ensure the use of data for the public good rather than for purely private gain?

Here are two proposals towards this goal.

First, governments should pass legislation to allow national statistical offices to gain anonymized access to large private-sector data sets under openly specified conditions. This provision was part of the United Kingdom’s Digital Economy Act last year and will improve the ability of the UK Office for National Statistics to assess the economy and society for the public interest.

My second proposal is inspired by the legacy of John Sulston, who died earlier this month. Sulston was known for his success in advocating for the Human Genome Project to be openly accessible to the science community, while a competitor sought to sequence the genome first and keep data proprietary.

Like Sulston, we should look for ways of making data available for the common interest. Intellectual-property rights expire after a fixed time period: what if, similarly, technology companies were allowed to use the data that they gather only for a limited period, say, five years? The data could then revert to a national charitable corporation that could provide access to certified researchers, who would both be held to account and be subject to scrutiny that ensure the data are used for the common good.

Technology companies would move from being data owners to becoming data stewards…(More)” (see also http://datacollaboratives.org/).

Leveraging the Power of Bots for Civil Society


Allison Fine & Beth Kanter  at the Stanford Social Innovation Review: “Our work in technology has always centered around making sure that people are empowered, healthy, and feel heard in the networks within which they live and work. The arrival of the bots changes this equation. It’s not enough to make sure that people are heard; we now have to make sure that technology adds value to human interactions, rather than replacing them or steering social good in the wrong direction. If technology creates value in a human-centered way, then we will have more time to be people-centric.

So before the bots become involved with almost every facet of our lives, it is incumbent upon those of us in the nonprofit and social-change sectors to start a discussion on how we both hold on to and lead with our humanity, as opposed to allowing the bots to lead. We are unprepared for this moment, and it does not feel like an understatement to say that the future of humanity relies on our ability to make sure we’re in charge of the bots, not the other way around.

To Bot or Not to Bot?

History shows us that bots can be used in positive ways. Early adopter nonprofits have used bots to automate civic engagement, such as helping citizens register to votecontact their elected officials, and elevate marginalized voices and issues. And nonprofits are beginning to use online conversational interfaces like Alexa for social good engagement. For example, the Audubon Society has released an Alexa skill to teach bird calls.

And for over a decade, Invisible People founder Mark Horvath has been providing “virtual case management” to homeless people who reach out to him through social media. Horvath says homeless agencies can use chat bots programmed to deliver basic information to people in need, and thus help them connect with services. This reduces the workload for case managers while making data entry more efficient. He explains it working like an airline reservation: The homeless person completes the “paperwork” for services by interacting with a bot and then later shows their ID at the agency. Bots can greatly reduce the need for a homeless person to wait long hours to get needed services. Certainly this is a much more compassionate use of bots than robot security guards who harass homeless people sleeping in front of a business.

But there are also examples where a bot’s usefulness seems limited. A UK-based social service charity, Mencap, which provides support and services to children with learning disabilities and their parents, has a chatbot on its website as part of a public education effort called #HereIAm. The campaign is intended to help people understand more about what it’s like having a learning disability, through the experience of a “learning disabled” chatbot named Aeren. However, this bot can only answer questions, not ask them, and it doesn’t become smarter through human interaction. Is this the best way for people to understand the nature of being learning disabled? Is it making the difficulties feel more or less real for the inquirers? It is clear Mencap thinks the interaction is valuable, as they reported a 3 percent increase in awareness of their charity….

The following discussion questions are the start of conversations we need to have within our organizations and as a sector on the ethical use of bots for social good:

  • What parts of our work will benefit from greater efficiency without reducing the humanness of our efforts? (“Humanness” meaning the power and opportunity for people to learn from and help one another.)
  • Do we have a privacy policy for the use and sharing of data collected through automation? Does the policy emphasize protecting the data of end users? Is the policy easily accessible by the public?
  • Do we make it clear to the people using the bot when they are interacting with a bot?
  • Do we regularly include clients, customers, and end users as advisors when developing programs and services that use bots for delivery?
  • Should bots designed for service delivery also have fundraising capabilities? If so, can we ensure that our donors are not emotionally coerced into giving more than they want to?
  • In order to truly understand our clients’ needs, motivations, and desires, have we designed our bots’ conversational interactions with empathy and compassion, or involved social workers in the design process?
  • Have we planned for weekly checks of the data generated by the bots to ensure that we are staying true to our values and original intentions, as AI helps them learn?….(More)”.

The use of Facebook by local authorities: a comparative analysis of the USA, UK and Spain


F. Javier MirandaAntonio Chamorro and Sergio Rubio in Electronic Government: “The social networks have increased the ways in which public administrations can actively interact with the public. However, these new means of communication are not always used efficiently to create an open and two-way relationship. The purpose of this study is to analyse the presence on and use of the social network Facebook by the large councils in the USA, UK and Spain. This research adapts Facebook assessment index (FAI) to the field of local authorities. This index assesses three dimensions: popularity, content and interactivity. The results show that there is no relationship between the population of the municipality and the degree of use of Facebook by the council, but there are notable differences depending on the country. By creating this ranking, we are helping those responsible for this management to carry out benchmarking activities in order to improve their communication strategy on the social networks….(More)”.

UK can lead the way on ethical AI, says Lords Committee


Lords Select Committee: “The UK is in a strong position to be a world leader in the development of artificial intelligence (AI). This position, coupled with the wider adoption of AI, could deliver a major boost to the economy for years to come. The best way to do this is to put ethics at the centre of AI’s development and use concludes a report by the House of Lords Select Committee on Artificial Intelligence, AI in the UK: ready, willing and able?, published today….

One of the recommendations of the report is for a cross-sector AI Code to be established, which can be adopted nationally, and internationally. The Committee’s suggested five principles for such a code are:

  1. Artificial intelligence should be developed for the common good and benefit of humanity.
  2. Artificial intelligence should operate on principles of intelligibility and fairness.
  3. Artificial intelligence should not be used to diminish the data rights or privacy of individuals, families or communities.
  4. All citizens should have the right to be educated to enable them to flourish mentally, emotionally and economically alongside artificial intelligence.
  5. The autonomous power to hurt, destroy or deceive human beings should never be vested in artificial intelligence.

Other conclusions from the report include:

  • Many jobs will be enhanced by AI, many will disappear and many new, as yet unknown jobs, will be created. Significant Government investment in skills and training will be necessary to mitigate the negative effects of AI. Retraining will become a lifelong necessity.
  • Individuals need to be able to have greater personal control over their data, and the way in which it is used. The ways in which data is gathered and accessed needs to change, so that everyone can have fair and reasonable access to data, while citizens and consumers can protect their privacy and personal agency. This means using established concepts, such as open data, ethics advisory boards and data protection legislation, and developing new frameworks and mechanisms, such as data portability and data trusts.
  • The monopolisation of data by big technology companies must be avoided, and greater competition is required. The Government, with the Competition and Markets Authority, must review the use of data by large technology companies operating in the UK.
  • The prejudices of the past must not be unwittingly built into automated systems. The Government should incentivise the development of new approaches to the auditing of datasets used in AI, and also to encourage greater diversity in the training and recruitment of AI specialists.
  • Transparency in AI is needed. The industry, through the AI Council, should establish a voluntary mechanism to inform consumers when AI is being used to make significant or sensitive decisions.
  • At earlier stages of education, children need to be adequately prepared for working with, and using, AI. The ethical design and use of AI should become an integral part of the curriculum.
  • The Government should be bold and use targeted procurement to provide a boost to AI development and deployment. It could encourage the development of solutions to public policy challenges through speculative investment. There have been impressive advances in AI for healthcare, which the NHS should capitalise on.
  • It is not currently clear whether existing liability law will be sufficient when AI systems malfunction or cause harm to users, and clarity in this area is needed. The Committee recommend that the Law Commission investigate this issue.
  • The Government needs to draw up a national policy framework, in lockstep with the Industrial Strategy, to ensure the coordination and successful delivery of AI policy in the UK….(More)”.

Participatory Budgeting: Step to Building Active Citizenship or a Distraction from Democratic Backsliding?


David Sasaki: “Is there any there there? That’s what we wanted to uncover beneath the hype and skepticism surrounding participatory budgeting, an innovation in democracy that began in Brazil in 1989 and has quickly spread to nearly every corner of the world like a viral hashtag….We ended up selecting two groups of consultants for two phases of work. The first phase was led by three academic researchers — Brian WamplerMike Touchton and Stephanie McNulty — to synthesize what we know broadly about PB’s impact and where there are gaps in the evidence. mySociety led the second phase, which originally intended to identify the opportunities and challenges faced by civil society organizations and public officials that implement participatory budgeting. However, a number of unforeseen circumstances, including contested elections in Kenya and a major earthquake in Mexico, shifted mySociety’s focus to take a global, field-wide perspective.

In the end, we were left with two reports that were similar in scope and differed in perspective. Together they make for compelling reading. And while they come from different perspectives, they settle on similar recommendations. I’ll focus on just three: 1) the need for better research, 2) the lack of global coordination, and 3) the emerging opportunity to link natural resource governance with participatory budgeting….

As we consider some preliminary opportunities to advance participatory budgeting, we are clear-eyed about the risks and challenges. In the face of democratic backsliding and the concern that liberal democracy may not survive the 21st century, are these efforts to deepen local democracy merely a distraction from a larger threat, or is this a way to build active citizenship? Also, implementing PB is expensive — both in terms of money and time; is it worth the investment? Is PB just the latest checkbox for governments that want a reputation for supporting citizen participation without investing in the values and process it entails? Just like the proliferation of fake “consultation meetings,” fake PB could merely exacerbate our disappointment with democracy. What should we make of the rise of participatory budgeting in quasi-authoritarian contexts like China and Russia? Is PB a tool for undemocratic central governments to keep local governments in check while giving citizens a simulacrum of democratic participation? Crucially, without intentional efforts to be inclusive like we’ve seen in Boston, PB could merely direct public resources to those neighborhoods with the most outspoken and powerful residents.

On the other hand, we don’t want to dismiss the significant opportunities that come with PB’s rapid global expansion. For example, what happens when social movements lose their momentum between election cycles? Participatory budgeting could create a civic space for social movements to pursue concrete outcomes while engaging with neighbors and public officials. (In China, it has even helped address the urban-rural divide on perspectives toward development policy.) Meanwhile, social media have exacerbated our human tendency to complain, but participatory budgeting requires us to shift our perspective from complaints to engaging with others on solutions. It could even serve as a gateway to deeper forms of democratic participation and increased trust between governments, civil society organizations, and citizens. Perhaps participatory budgeting is the first step we need to rebuild our civic infrastructure and make space for more diverse voices to steer our complex public institutions.

Until we have more research and evidence, however, these possibilities remain speculative….(More)”.

Behavioral Economics: Are Nudges Cost-Effective?


Carla Fried at UCLA Anderson Review: “Behavioral science does not suffer from a lack of academic focus. A Google Scholar search for the term delivers more than three million results.

While there is an abundance of research into how human nature can muck up our decision making process and the potential for well-placed nudges to help guide us to better outcomes, the field has kept rather mum on a basic question: Are behavioral nudges cost-effective?

That’s an ever more salient question as the art of the nudge is increasingly being woven into public policy initiatives. In 2009, the Obama administration set up a nudge unit within the White House Office of Information and Technology, and a year later the U.K. government launched its own unit. Harvard’s Cass Sunstein, co-author of the book Nudge, headed the U.S. effort. His co-author, the University of Chicago’s Richard Thaler — who won the 2017 Nobel Prize in Economics — helped develop the U.K.’s Behavioral Insights office. Nudge units are now humming away in other countries, including Germany and Singapore, as well as at the World Bank, various United Nations agencies and the Organisation for Economic Co-operation and Development (OECD).

Given the interest in the potential for behavioral science to improve public policy outcomes, a team of nine experts, including UCLA Anderson’s Shlomo Benartzi, Sunstein and Thaler, set out to explore the cost-effectiveness of behavioral nudges relative to more traditional forms of government interventions.

In addition to conducting their own experiments, the researchers looked at published research that addressed four areas where public policy initiatives aim to move the needle to improve individuals’ choices: saving for retirement, applying to college, energy conservation and flu vaccinations.

For each topic, they culled studies that focused on both nudge approaches and more traditional mandates such as tax breaks, education and financial incentives, and calculated cost-benefit estimates for both types of studies. Research used in this study was published between 2000 and 2015. All cost estimates were inflation-adjusted…

The study itself should serve as a nudge for governments to consider adding nudging to their policy toolkits, as this approach consistently delivered a high return on investment, relative to traditional mandates and policies….(More)”.