Building Digital Government Strategies


Book by Rodrigo Sandoval-Almazan et al: “This book provides key strategic principles and best practices to guide the design and implementation of digital government strategies. It provides a series of recommendations and findings to think about IT applications in government as a platform for information, services and collaboration, and strategies to avoid identified pitfalls. Digital government research suggests that information technologies have the potential to generate immense public value and transform the relationships between governments, citizens, businesses and other stakeholders. However, developing innovative and high impact solutions for citizens hinges on the development of strategic institutional, organizational and technical capabilities.

Thus far,  particular characteristics and problems of the public sector organization promote the development of poorly integrated and difficult to maintain applications. For example, governments maintain separate applications for open data, transparency, and public services, leading to duplication of efforts and a waste of resources. The costs associated with maintaining such sets of poorly integrated systems may limit the use of resources to future projects and innovation.

This book provides best practices and recommendations based on extensive research in both Mexico and the United States on how governments can develop a digital government strategy for creating public value, how to finance digital innovation in the public sector, how to building successful collaboration networks and foster citizen engagement, and how to correctly implement open government projects and open data. It will be of interest to researchers, practitioners, students, and public sector IT professionals that work in the design and implementation of technology-based projects and programs….(More)”.

Opportunities and risks in emerging technologies


White Paper Series at the WebFoundation: “To achieve our vision of digital equality, we need to understand how new technologies are shaping society; where they present opportunities to make people’s lives better, and indeed where they threaten to create harm. To this end, we have commissioned a series of white papers examining three key digital trends: artificial intelligence, algorithms and control of personal data. The papers focus on low and middle-income countries, which are all too often overlooked in debates around the impacts of emerging technologies.

The series addresses each of these three digital issues, looking at how they are impacting people’s lives and identifying steps that governments, companies and civil society organisations can take to limit the harms, and maximise benefits, for citizens.

Download the white papers

We will use these white papers to refine our thinking and set our work agenda on digital equality in the years ahead. We are sharing them openly with the hope they benefit others working towards our goals and to amplify the limited research currently available on digital issues in low and middle-income countries. We intend the papers to foster discussion about the steps we can take together to ensure emerging digital technologies are used in ways that benefit people’s lives, whether they are in Los Angeles or Lagos….(More)”.

The hidden costs of open data


Sara Friedman at GCN: “As more local governments open their data for public use, the emphasis is often on “free” — using open source tools to freely share already-created government datasets, often with pro bono help from outside groups. But according to a new report, there are unforeseen costs when it comes pushing government datasets out of public-facing platforms — especially when geospatial data is involved.

The research, led by University of Waterloo professor Peter A. Johnson and McGill University professor Renee Sieber, was based on work as part of Geothink.ca partnership research grant and exploration of the direct and indirect costs of open data.

Costs related to data collection, publishing, data sharing, maintenance and updates are increasingly driving governments to third-party providers to help with hosting, standardization and analytical tools for data inspection, the researchers found. GIS implementation also has associated costs to train staff, develop standards, create valuations for geospatial data, connect data to various user communities and get feedback on challenges.

Due to these direct costs, some governments are more likely to avoid opening datasets that need complex assessment or anonymization techniques for GIS concerns. Johnson and Sieber identified four areas where the benefits of open geospatial data can generate unexpected costs.

First, open data can create “smoke and mirrors” situation where insufficient resources are put toward deploying open data for government use. Users then experience “transaction costs” when it comes to working in specialist data formats that need additional skills, training and software to use.

Second, the level of investment and quality of open data can lead to “material benefits and social privilege” for communities that devote resources to providing more comprehensive platforms.

While there are some open source data platforms, the majority of solutions are proprietary and charged on a pro-rata basis, which can present a challenge for cities with larger, poor populations compared to smaller, wealthier cities. Issues also arise when governments try to combine their data sets, leading to increased costs to reconcile problems.

The third problem revolves around the private sector pushing for the release of data sets that can benefit their business objectives. Companies could push for the release high-value sets, such as a real-time transit data, to help with their product development goals. This can divert attention from low-value sets, such as those detailing municipal services or installations, that could have a bigger impact on residents “from a civil society perspective.”

If communities decide to release the low-value sets first, Johnson and Sieber think the focus can then be shifted to high-value sets that can help recoup the costs of developing the platforms.

Lastly, the report finds inadvertent consequences could result from tying open data resources to private-sector companies. Public-private open data partnerships could lead to infrastructure problems that prevent data from being widely shared, and help private companies in developing their bids for public services….

Johnson and Sieber encourage communities to ask the following questions before investing in open data:

  1. Who are the intended constituents for this open data?
  2. What is the purpose behind the structure for providing this data set?
  3. Does this data enable the intended users to meet their goals?
  4. How are privacy concerns addressed?
  5. Who sets the priorities for release and updates?…(More)”

Read the full report here.

Active Citizenship in Europe: Practices and Demands in the EU, Italy, Turkey and the UK


Book by Cristiano Bee: “…provides an overview of key issues in the debate concerning the emergence of active citizenship in Europe.

The specific focus of enquiry is the promotion of patterns of civic and political engagement and civic and political participation by the EU and the relative responses drawn by organizations of the civil society operating at the supranational level and in Italy, Turkey and the UK. More specifically, it addresses key debates on the engagement and participation of organized civil society across the permanent state of euro-crisis, considering the production of policy discourses along the continuum that characterized three subsequent and interrelated emergency situations (democratic, financial and migration crises) that have hit Europe since 2005. …(More)”.

Democracy Promotion: An Objective of U.S. Foreign Assistance


New Report by Congressional Research Service: “Promoting democratic institutions, processes, and values has long been a U.S. foreign policy objective, though the priority given to this objective has been inconsistent. World events, competing priorities, and political change within the United States all shape the attention and resources provided to democracy promotion efforts and influence whether such efforts focus on supporting fair elections abroad, strengthening civil society, promoting rule of law and human rights, or other aspects of democracy promotion.

Proponents of democracy promotion often assert that such efforts are essential to global development and U.S. security because stable democracies tend to have better economic growth and stronger protection of human rights, and are less likely to go to war with one another. Critics contend that U.S. relations with foreign countries should focus exclusively on U.S. interests and stability in the world order. U.S. interest in global stability, regardless of the democratic nature of national political systems, could discourage U.S. support for democratic transitions—the implementation of which is uncertain and may lead to more, rather than less, instability.

Funding for democracy promotion assistance is deeply integrated into U.S. foreign policy institutions. More than $2 billion annually has been allocated from foreign assistance funds over the past decade for democracy promotion activities managed by the State Department, the U.S. Agency for International Development, the National Endowment for Democracy, and other entities. Programs promoting good governance (characterized by participation, transparency, accountability, effectiveness, and equity), rule of law, and promotion of human rights have typically received the largest share of this funding in contrast to lower funding to promote electoral processes and political competition. In recent years, increasing restrictions imposed by some foreign governments on civil society organizations have resulted in an increased emphasis in democracy promotion assistance for strengthening civil society.

Despite bipartisan support for the general concept of democracy promotion, policy debates in the 115th Congress continue to question the consistency, effectiveness, and appropriateness of such foreign assistance. With the Trump Administration indicating that democracy and human rights might not be a top foreign policy priority, advocates in Congress may be challenged to find common ground with the Administration on this issue.

As part of its budget and oversight responsibilities, the 115th Congress may consider the impact of the Trump Administration’s requested FY2018 foreign assistance spending cuts on U.S. democracy promotion assistance, review the effectiveness of democracy promotion activities, evaluate the various channels available for democracy promotion, and consider where democracy promotion ranks among a wide range of foreign policy and budget priorities….(More)”.

Civil society and online connectivity: controlling corruption on the net?


Niklas Kossow, Roberto Martínez and Barranco Kukutschka in Crime, Law and Social Change:”Over the past years, an increasing number of studies have looked at the use of internet and communications technology (ICT) in the fight against corruption. While there is broad agreement that ICT tools can be effective in controlling corruption, the mechanisms by which they are doing this are much less clear. This paper attempts to shine some light on this relationship. It focusses on the role of ICT in empowering citizens and supporting civil society. It argues that enlightened citizens can use internet access and social media to inform themselves on corruption, mobilise support for anti-corruption movements and gather information in order to shine a light on particularistic practices. Defining corruption as a collective action problem, the paper provides quantitative evidence to support its claim that ICT can support collective action of an informed citizenry and thus contribute to the control of corruption….(more)”

A City Is a Data Pool: Blockchains and the Crypto-City


Paper by Jason PottsEllie Rennie and Jake Goldenfein: “The Smart City agenda of integrating ICT and Internet of Things (IoT) informatic infrastructure to improve the efficiency and adaptability of city governance has been shaping urban development policy for more than a decade now. A smart city has more data, gathered though new and better technology, delivering higher quality city services. In this paper, we explore how blockchain technology could shift the Smart City agenda by altering transaction costs with implications for the coordination of infrastructures and resources. Like the Smart City the Crypto City utilizes data informatics, but can be coordinated through distributed rather than centralized systems. The data infrastructure of the Crypto-City can enable civil society to run local public goods, and facilitate economic and social entrepreneurship. Drawing on economic theory of transaction costs, the paper sets out an explanatory framework for understanding the kinds of new governance mechanisms that may emerge in conjunction with automated systems, including the challenges that blockchain poses for cities….(More)”.

The Prospects & Limits of Deliberative Democracy


Introduction by  and  of Special Issue of Daedalus:Democracy is under siege. Approval ratings for democratic institutions in most countries around the world are at near-record lows. The number of recognized democratic countries in the world is no longer expanding after the so-called Third Wave of democratic transitions. Indeed, there is something of a “democratic recession.” Further, some apparently democratic countries with competitive elections are undermining elements of liberal democracy: the rights and liberties that ensure freedom of thought and expression, protection of the rule of law, and all the protections for the substructure of civil society that may be as important for making democracy work as the electoral process itself. The model of party competition-based democracy – the principal model of democracy in the modern era – seems under threat.

That model also has competition. What might be called “meritocratic authoritarianism,” a model in which regimes with flawed democratic processes nevertheless provide good governance, is attracting attention and some support. Singapore is the only successful extant example, although some suggest China as another nation moving in this direction. Singapore is not a Western-style party- and competition-based democracy, but it is well-known for its competent civil servants schooled in making decisions on a cost-benefit basis to solve public problems, with the goals set by elite consultation with input from elections rather than by party competition.

Public discontent makes further difficulties for the competitive model. Democracies around the world struggle with the apparent gulf between political elites who are widely distrusted and mobilized citizens who fuel populism with the energy of angry voices. Disillusioned citizens turning against elites have produced unexpected election results, including the Brexit decision and the 2016 U.S. presidential election.

The competitive elections and referenda of most current democracies depend on mobilizing millions of voters within a context of advertising, social media, and efforts to manipulate as well as inform public opinion. Competing teams want to win and, in most cases, are interested in informing voters only when it is to their advantage. The rationale for competitive democracy, most influentially developed by the late economist Joseph Schumpeter, held that the same techniques of advertising used in the commercial sphere to get people to buy products can be expected in the political sphere. On this view, we should not expect a “genuine” public will, but rather “a manufactured will” that is just a by-product of political competition.

Yet the ideal of democracy as the rule of “the people” is deeply undermined when the will of the people is in large part manufactured. The legitimacy of democracy depends on some real link between the public will and the public policies and office-holders who are selected. Although some have criticized this “folk theory of democracy” as empirically naive, its very status as a folk theory reflects how widespread this normative expectation is.5 To the extent that leaders manufacture the public will, the normative causal arrow goes in the wrong direction. If current democracies cannot produce meaningful processes of public will formation, the legitimacy claims of meritocratic autocracies or even more fully autocratic systems become comparatively stronger.

Over the last two decades, another approach to democracy has become increasingly prominent. Based on greater deliberation among the public and its representatives, deliberative democracy has the potential, at least in theory, to respond to today’s current challenges. If the many versions of a more deliberative democracy live up to their aspirations, they could help revive democratic legitimacy, provide for more authentic public will formation, provide a middle ground between widely mistrusted elites and the angry voices of populism, and help fulfill some of our common normative expectations about democracy.

Can this potential be realized? In what ways and to what extent? Deliberative democracy has created a rich literature in both theory and practice. This issue of Dædalus assesses both its prospects and limits. We include advocates as well as critics. As deliberative democrats, our aim is to stimulate public deliberation about deliberative democracy, weighing arguments for and against its application in different contexts and for different purposes.

How can deliberative democracy, if it were to work as envisaged by its supporters, respond to the challenges just sketched? First, if the more-deliberative institutions that many advocate can be applied to real decisions in actual ongoing democracies, arguably they could have a positive effect on legitimacy and lead to better governance. They could make a better connection between the public’s real concerns and how they are governed. Second, these institutions could help fill the gap between distrusted elites and angry populists. Elites are distrusted in part because they seem and often are unresponsive to the public’s concerns, hopes, and values. Perhaps, the suspicion arises, the elites are really out for themselves. On the other hand, populism stirs up angry, mostly nondeliberative voices that can be mobilized in plebescitary campaigns, whether for Brexit or for elected office. In their contributions to this issue, both Claus Offe and Hélène Landemore explore the crisis of legitimacy in representative government, including the clash between status quo – oriented elites and populism. Deliberative democratic methods open up the prospect of prescriptions that are both representative of the entire population and based on sober, evidence-based analysis of the merits of competing arguments. Popular deliberative institutions are grounded in the public’s values and concerns, so the voice they magnify is not the voice of the elites. But that voice is usually also, after deliberation, more evidence-based and reflective of the merits of the major policy arguments. Hence these institutions fill an important gap.

How might popular deliberative democracy, if it were to work as envisaged by its supporters, fulfill normative expectations of democracy, thought to be unrealistic by critics of the “folk theory”? The issue turns on the empirical possibility that the public can actually deliberate. Can the people weigh the trade-offs? Can they assess competing arguments? Can they connect their deliberations with their voting preferences or other expressions of preference about what should be done? Is the problem that the people are not competent, or that they are not in the right institutional context to be effectively motivated to participate? These are empirical questions, and the controversies about them are part of our dialogue.

This issue includes varying definitions, approaches, and contexts. The root notion is that deliberation requires “weighing” competing arguments for policies or candidates in a context of mutually civil and diverse discussion in which people can decide on the merits of arguments with good information. Is such a thing possible in an era of fake news, social media, and public discussions largely among the like-minded? These are some of the challenges facing those who might try to make deliberative democracy practical….(More)”

Research data infrastructures in the UK


The Open Research Data Task Force : “This report is intended to inform the work of the Open Research Data Task Force, which has been established with the aim of building on the principles set out in Open Research Data Concordat (published in July 2016) to co-ordinate creation of a roadmap to develop the infrastructure for open research data across the UK. As an initial contribution to that work, the report provides an outline of the policy and service infrastructure in the UK as it stands in the first half of 2017, including some comparisons with other countries; and it points to some key areas and issues which require attention. It does not seek to identify possible courses of action, nor even to suggest priorities the Task Force might consider in creating its final report to be published in 2018. That will be the focus of work for the Task Force over the next few months.

Why is this important?

The digital revolution continues to bring fundamental changes to all aspects of research: how it is conducted, the findings that are produced, and how they are interrogated and transmitted not only within the research community but more widely. We are as yet still in the early stages of a transformation in which progress is patchy across the research community, but which has already posed significant challenges for research funders and institutions, as well as for researchers themselves. Research data is at the heart of those challenges: not simply the datasets that provide the core of the evidence analysed in scholarly publications, but all the data created and collected throughout the research process. Such data represents a potentially-valuable resource for people and organisations in the commercial, public and voluntary sectors, as well as for researchers. Access to such data, and more general moves towards open science, are also critically-important in ensuring that research is reproducible, and thus in sustaining public confidence in the work of the research community. But effective use of research data depends on an infrastructure – of hardware, software and services, but also of policies, organisations and individuals operating at various levels – that is as yet far from fully-formed. The exponential increases in volumes of data being generated by researchers create in themselves new demands for storage and computing power. But since the data is characterised more by heterogeneity then by uniformity, development of the infrastructure to manage it involves a complex set of requirements in preparing, collecting, selecting, analysing, processing, storing and preserving that data throughout its life cycle.

Over the past decade and more, there have been many initiatives on the part of research institutions, funders, and members of the research community at local, national and international levels to address some of these issues. Diversity is a key feature of the landscape, in terms of institutional types and locations, funding regimes, and nature and scope of partnerships, as well as differences between disciplines and subject areas. Hence decision-makers at various levels have fostered via their policies and strategies many community-organised developments, as well as their own initiatives and services. Significant progress has been achieved as a result, through the enthusiasm and commitment of key organisations and individuals. The less positive features have been a relative lack of harmonisation or consolidation, and there is an increasing awareness of patchiness in provision, with gaps, overlaps and inconsistencies. This is not surprising, since policies, strategies and services relating to research data necessarily affect all aspects of support for the diverse processes of research itself. Developing new policies and infrastructure for research data implies significant re-thinking of structures and regimes for supporting, fostering and promoting research itself. That in turn implies taking full account of widely-varying characteristics and needs of research of different kinds, while also keeping in clear view the benefits to be gained from better management of research data, and from greater openness in making data accessible for others to re-use for a wide range of different purposes….(More)”.

Using Collaboration to Harness Big Data for Social Good


Jake Porway at SSIR: “These days, it’s hard to get away from the hype around “big data.” We read articles about how Silicon Valley is using data to drive everything from website traffic to autonomous cars. We hear speakers at social sector conferences talk about how nonprofits can maximize their impact by leveraging new sources of digital information like social media data, open data, and satellite imagery.

Braving this world can be challenging, we know. Creating a data-driven organization can require big changes in culture and process. Some nonprofits, like Crisis Text Line and Watsi, started off boldly by building their own data science teams. But for the many other organizations wondering how to best use data to advance their mission, we’ve found that one ingredient works better than all the software and tech that you can throw at a problem: collaboration.

As a nonprofit dedicated to applying data science for social good, DataKind has run more than 200 projects in collaboration with other nonprofits worldwide by connecting them to teams of volunteer data scientists. What do the most successful ones have in common? Strong collaborations on three levels: with data science experts, within the organization itself, and across the nonprofit sector as a whole.

1. Collaborate with data science experts to define your project. As we often say, finding problems can be harder than finding solutions. ….

2. Collaborate across your organization to “build with, not for.” Our projects follow the principles of human-centered design and the philosophy pioneered in the civic tech world of “design with, not for.” ….

3. Collaborate across your sector to move the needle. Many organizations think about building data science solutions for unique challenges they face, such as predicting the best location for their next field office. However, most of us are fighting common causes shared by many other groups….

By focusing on building strong collaborations on these three levels—with data experts, across your organization, and across your sector—you’ll go from merely talking about big data to making big impact….(More).