Stefaan Verhulst
Report by the World Bank: “…Decisions based on data can greatly improve people’s lives. Data can uncover patterns, unexpected relationships
Data is clearly a precious commodity, and the report points out that people should have greater control over the use of their personal data. Broadly speaking, there are three possible answers to the question “Who controls our data?”: firms, governments, or users. No global consensus yet exists on the extent to which private firms that mine data about individuals should be free to use the data for profit and to improve services.
User’s willingness to share data in return for benefits and free services – such as virtually unrestricted use of social media platforms – varies widely by country. In addition to that, early internet adopters, who grew up with the internet and are now age 30–40, are the most willing to share (GfK 2017).
Are you willing to share your data? (source: GfK 2017)
On the other hand, data can worsen the digital divide – the data poor, who leave no digital trail because they have limited access, are most at risk from exclusion from services, opportunities and rights, as are those who lack a digital ID, for instance.
Firms and Data
For private sector firms, particularly those in developing countries, the report suggests how they might expand their markets and improve their competitive edge. Companies are already developing new markets and making profits by analyzing data to better understand their customers. This is transforming conventional business models. For years, telecommunications has been funded by users paying for phone calls. Today, advertisers pay for users’ data and attention are funding the internet, social media, and other platforms, such as apps, reversing the value flow.
Governments and Data
For governments and development professionals, the report provides guidance on how they might use data more creatively to help tackle key global challenges, such as eliminating extreme poverty, promoting shared prosperity, or mitigating the effects of climate change. The first step is developing appropriate guidelines for data sharing and use, and for anonymizing personal data. Governments are already beginning to use the huge quantities of data they hold to enhance service delivery, though they still have far to go to catch up with the commercial giants, the report finds.
Data for Development
The Information and Communications for Development report analyses how the data revolution is changing the behavior of governments, individuals, and firms and how these changes affect economic, social, and cultural development. This is a topic of growing importance that cannot be ignored, and the report aims to stimulate
Consultation Document by the OECD: “BASIC (Behaviour, Analysis, Strategies, Intervention, and Change) is an overarching framework for applying
The document provides an overview of the rationale, applicability and key tenets of BASIC. It walks practitioners through the five BASIC sequential stages with examples, and presents detailed ethical guidelines to be considered at each stage.
It has been developed by the OECD in partnership with
Book edited by Tom Fisher and Lorraine Gamman: “Tricky Things responds to the burgeoning of scholarly interest in the cultural meanings of objects, by addressing the moral complexity of certain designed objects and systems.
The volume brings together leading international designers, scholars and critics to explore some of the ways in which the practice of design and its outcomes can have a dark side, even when the intention is to design for the public good. Considering a range of designed objects and relationships, including guns, eyewear, assisted suicide kits, anti-rape devices, passports and prisons, the contributors offer a view of design as both progressive and problematic, able to propose new material and human relationships, yet also constrained by social norms and ideology.
This contradictory, tricky quality of design is explored in the editors’ introduction, which positions the objects, systems, services and ‘things’ discussed in the book in relation to the idea of the trickster that occurs in anthropological literature, as well as in classical thought, discussing design interventions that have positive and negative ethical consequences. These will include objects, both material and ‘immaterial’, systems with both local and global scope, and also different processes of designing.
This important new volume brings a fresh perspective to the complex nature of ‘things
Harvard Business School Case Study by Leslie K. John, Mitchell Weiss and Julia Kelley: “By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people of Toronto, their government representatives, and presumably his parent company Alphabet, Inc., that Sidewalk Labs’ plan to construct “the first truly 21st-century city” on the Canadian city’s waterfront was a sound one. Along with much excitement and optimism, strains of concern had emerged since Doctoroff and partners first announced their intentions for a city “built from the internet up” in Toronto’s Quayside district. As Doctoroff prepared for yet another milestone in a year of planning and community engagement, it was almost certain that of the many questions headed his way, digital privacy would be among them….(More)”.
Mapping by Kate Gasporro: “…The field of civic technology is relatively new. There are limited strategies to measure
By mapping the landscape of civic technology, we can see more clearly how eParticipation is being used to address public service challenges, including infrastructure delivery. Although many scholars and practitioners have created independent categories for eParticipation, these categorization frameworks follow a similar pattern. At one end of the spectrum, eParticipation efforts provide public service information and relevant updates to citizens or allowing citizens to contact their officials in a unidirectional flow of information. At the other end, eParticipation efforts allow for deliberate democracy where citizens share decision-making with local government officials. Of the dozen categorization frameworks we found, we selected the most comprehensive one accepted by practitioners. This framework draws from public participation practices and identifies five categories:
eInforming : One-way communication providing online information to citizens (in the form of a website) or togovernment (via ePetitions)eConsulting : Limited two-way communication where citizens can voice their opinions and provide feedbackeInvolving : Two-way communication where citizens go through an online process to capture public concernseCollaborating : Enhanced two-way communication that allows citizens to develop alternative solutions and identify the preferred solution, but decision making remains the government’s responsibilityeEmpowerment : Advanced two-way communication that allows citizens to influence and make decisions as co-producers of policies…
After surveying the civic technology space, we found 24 tools that use eParticipation for infrastructure delivery. We map these technologies according to their intended use phase in infrastructure delivery and type of

The field of civic technology is relatively new. There are limited strategies to measure
Karl Manheim and Lyric Kaplan at Yale Journal of Law and Technology: “A “Democracy Index” is published annually by the Economist. For 2017, it reported that half of the world’s countries scored lower than the previous year. This included the United States, which was demoted from “full democracy” to “flawed democracy.” The principal factor was “erosion of confidence in government and public institutions.” Interference by Russia and voter manipulation by Cambridge Analytica in the 2016 presidential election played a large part in that public disaffection.
Threats of these kinds will continue, fueled by growing deployment of artificial intelligence (AI) tools to manipulate the preconditions and levers of democracy. Equally destructive is AI’s threat to decisional andinforma-tional privacy. AI is the engine behind Big Data Analytics and the Internet of Things. While conferring some consumer benefit, their principal function at present is to capture personal information, create detailed behavioral profiles and sell us goods and agendas. Privacy, anonymity and autonomy are the main casualties of AI’s ability to manipulate choices in economic and political decisions.
The way forward requires greater attention to these risks at the nation-al
Keith N. Hampton and Barry Wellman in Contemporary Sociology:”Why does every generation believe that relationships were stronger and community better in the recent past? Lamenting about the loss of community, based on a selective perception of the present and an idealization of ‘‘traditional community,’’ dims awareness of powerful inequalities and cleavages that have always pervaded human society and favors deterministic models over a nuanced understanding of how network affordances contribute to different outcomes. The beˆtes noirs have varied according to the moral panic of the times: industrialization, bureaucratization, urbanization, capitalism, socialism, and technological developments have all been tabbed by such diverse commentators as Thomas Jefferson (1784), Karl Marx (1852), Louis Wirth (1938), Maurice Stein (1960), Robert Bellah et al. (1996), and Tom Brokaw (1998). Each time, observers look back nostalgically to what they supposed were the supportive, solidary communities of the previous generation. Since the advent of the internet, the moral panicers have seized on this technology as the latest cause of lost community, pointing with alarm to what digital technologies are doing to relationships. As the focus shifts to social media and mobile devices, the panic seems particularly acute….
Taylor Dotson’s (2017) recent book Technically Together has a broader timeline for the demise of community. He sees it as happen- ing around the time the internet was popularized, with community even worse off as a result of Facebook and mobile devices. Dotson not only blames new technologies for the decline of community, but social theory, specifically the theory and the practice of ‘‘networked individualism’’: the relational turn from bounded, densely knit local groups to multiple, partial, often far-flung social networks (Rainie and Wellman 2012). Dotson takes the admirable position that social science should do more to imagine different outcomes, new technological possibilities that can be created by tossing aside the trends of today and engineering social change through design….
Some alarm in the recognition that the nature of community is changing as technologies change is sensible, and we have no quarrel with the collective desire to have better, more supportive friends, families, and communities. As Dotson implies, the maneuverability in having one’s own individually networked community can come at the cost of local group solidarity. Indeed, we have also taken action that does more than pontificate to promote local community, building community on and offline (Hampton 2011).
Yet part of contemporary unease comes from a selective perception of the present and an idealization of other forms of community. There is nostalgia for a perfect form of community that never was. Longing for a time when the grass was ever greener dims an awareness of the powerful stresses and cleavages that have always pervaded human society. And advocates, such as Dotson (2017), who suggest the need to save a particular type of community at the expense of another, often do so blind of the potential tradeoffs….(More)”
Video by Jay Arthur Sterrenberg at The Atlantic: “The fastest way to reveal a nation’s priorities is to take a look at its budget. Where money is allocated, improvements and expansions are made; where costs are cut, institutions and policies wither. In America and other similar democracies, political candidates campaign on budget promises, but it can be difficult to maintain transparency—and enforce accountability—once elected into office.
“Budgets are the essence of what government does,” says a woman at a community meeting in Jay Arthur Sterrenberg’s short documentary, Public Money. “We’re cutting out the rhetoric about budgeting and allowing community members to make direct decisions about money in our community.”
She’s talking about participatory budgeting, an innovative democratic process that has been under way in New York City since 2011. Once a year, citizens in participating council districts across the city propose and vote on how to spend $1 million in their neighborhood.
“It results in better budget decisions,” the New York city council’s website reads, “because who better knows the needs of our community than the people who live there?”
Participatory budgeting was first introduced on a large scale in Porto Alegre, Brazil. “For over 25 years, there have been all kinds of massive improvements in city infrastructure, and especially improved conditions in poorer neighborhoods,” Sterrenberg told The Atlantic. Today, there are more than 1,500 participatory budgets around the world.
Public Money, from Meerkat Media Collective, follows one cycle of the participatory-budget process in Sunset Park, Brooklyn. Residents are tasked with proposing project ideas, such as building a community center in the local library, installing security cameras in the park, and fixing potholes in the streets. Committees workshop, debate, and ultimately vote for their favorite projects, which—once deemed viable by the city government—go to the ballot. A public vote is held, and winning projects are funded.
The film takes an observational approach to what Sterrenberg describes as a “hard-to-explain process that has such potential to overhaul our politics.”…(More)”
Paper by Paul Nemitz: “Given the foreseeable pervasiveness of artificial intelligence (AI) in modern societies, it is legitimate and necessary to ask the question how this new technology must be shaped to support the maintenance and strengthening of constitutional democracy.
This paper first describes the four core elements of today’s digital power concentration, which need to be seen in cumulation and which, seen together, are both a threat to democracy and to functioning markets. It then recalls the experience with the lawless Internet and the relationship between technology and the law as it has developed in the Internet economy and the experience with GDPR before it moves on to the key question for AI in democracy, namely which of the challenges of AI can be safely and with good conscience left to ethics, and which challenges of AI need to be addressed by rules which are enforceable and encompass the legitimacy of
The paper closes with a call for a new culture of incorporating the principles of democracy, rule of law and human rights by design in AI and a three-level technological impact assessment for new technologies like AI as a practical way forward for this purpose
Philip Joyce at Governing: “In a column in this space in 2015, the late Paul L. Posner, who was one of the most thoughtful observers of public management and intergovernmental relations of the last half-century, decried the disappearance of report cards of government management. In particular, he issued an appeal for someone to move into the space that had been occupied by the Government Performance Project, the decade-long effort funded by the Pew Charitable Trusts to assess the management of states and large local governments.
If anything, what Posner advocated is needed even more today. In an era in which the call for evidence-based decision-making is ubiquitous in government, we have been lacking any real analysis, or even description, of what states and local governments are doing. A couple of recent notable efforts, however, have moved to partially fill this void at the state level.
First, a 2017 report by Pew and the MacArthur Foundation looked across the states at ways in which evidence-based policymaking was used in human services. The study looked at six types of actions that could be undertaken by states and identified states that were engaging, in some way, across four specific policy areas (behavioral health, child welfare, criminal justice and juvenile justice): defining levels of evidence (40 states); inventorying existing programs (50); comparing costs and benefits at a program level (17); reporting outcomes in the budget (42); targeting funds to evidence-based programs (50); and requiring action through state law (34)….
The second notable effort is an ongoing study of the use of data and evidence in the states that was launched recently by the National Association of State Budget Officers (NASBO). Previously, no one had attempted to summarize and categorize all of the initiatives – including those with their impetus in both laws and executive orders — underway across the 50 states. NASBO’s inventory of “Statewide Initiatives to Advance the Use of Data & Evidence for Decision-Making” is part of a set of resources aimed at providing state officials and other interested parties with a summary demonstrating the breadth of these initiatives.
The resulting “living” inventory, which is updated as additional practices are discovered, categorizes these state efforts into five types, listing a total of 90 as of this writing: data analytics (13 initiatives in 9 states), evidence-based policymaking (12 initiatives in 10 states), performance budgeting (18 initiatives in 16 states), performance management (27 initiatives in 24 states) and process improvement (20 initiatives in 19 states).
NASBO acknowledges that it is difficult to draw a bright line between these categories and classifies the initiatives according to the one that appears to be the most dominant. Nevertheless, this inventory provides a very useful