Open Data in Developing Economies: Toward Building an Evidence Base on What Works and How


New book by Stefaan Verhulst and Andrew Young: “Recent years have witnessed considerable speculation about the potential of open data to bring about wide-scale transformation. The bulk of existing evidence about the impact of open data, however, focuses on high-income countries. Much less is known about open data’s role and value in low- and middle-income countries, and more generally about its possible contributions to economic and social development.

Open Data in Developing Economies features in-depth case studies on how open data is having an impact across Screen Shot 2017-11-14 at 5.41.30 AMthe developing world-from an agriculture initiative in Colombia to data-driven healthcare
projects in Uganda and South Africa to crisis response in Nepal. The analysis built on these case studies aims to create actionable intelligence regarding:

(a) the conditions under which open data is most (and least) effective in development, presented in the form of a Periodic Table of Open Data;

(b) strategies to maximize the positive contributions of open data to development; and

(c) the means for limiting open data’s harms on developing countries.

Endorsements:

“An empirically grounded assessment that helps us move beyond the hype that greater access to information can improve the lives of people and outlines the enabling factors for open data to be leveraged for development.”-Ania Calderon, Executive Director, International Open Data Charter

“This book is compulsory reading for practitioners, researchers and decision-makers exploring how to harness open data for achieving development outcomes. In an intuitive and compelling way, it provides valuable recommendations and critical reflections to anyone working to share the benefits of an increasingly networked and data-driven society.”-Fernando Perini, Coordinator of the Open Data for Development (OD4D) Network, International Development Research Centre, Canada

Download full-text PDF – See also: http://odimpact.org/

When Data Science Destabilizes Democracy and Facilitates Genocide


Rachel Thomas in Fast.AI onWhat is the ethical responsibility of data scientists?”…What we’re talking about is a cataclysmic change… What we’re talking about is a major foreign power with sophistication and ability to involve themselves in a presidential election and sow conflict and discontent all over this country… You bear this responsibility. You’ve created these platforms. And now they are being misusedSenator Feinstein said this week in a senate hearing. Who has created a cataclysmic change? Who bears this large responsibility? She was talking to executives at tech companies and referring to the work of data scientists.

Data science can have a devastating impact on our world, as illustrated by inflammatory Russian propaganda being shown on Facebook to 126 million Americans leading up to the 2016 election (and the subject of the senate hearing described above) or by lies spread via Facebook that are fueling ethnic cleansing in Myanmar. Over half a million Rohinyga have been driven from their homes due to systematic murder, rape, and burning. Data science is foundational to Facebook’s newsfeed, in determining what content is prioritized and who sees what….

The examples of bias in data science are myriad and include:

You can do awesome and meaningful things with data science (such as diagnosing cancer, stopping deforestation, increasing farm yields, and helping patients with Parkinson’s disease), and you can (often unintentionally) enable terrible things with data science, as the examples in this post illustrate. Being a data scientist entails both great opportunity, as well as great responsibility, to use our skills to not make the world a worse place. Ultimately, doing data science is about humans, not just the users of our products, but everyone who will be impacted by our work. (More)”.

Lights on the Shadows of Public Procurement: Transparency in government contracting as an antidote to corruption?


Report by Agnes Czibik, Mihaly Fazekas, Monika Bauhr and  Jenny de Fine Licht for Digiwhist: “Transparency is widely promoted as an essential condition for good governance, and as an effective tool against public sector corruption more specifically. Although the empirical evidence on the impact of transparency on corruption is growing, empirical evidence remains mixed. Recent critique holds that a main reason for the lack of robust empirical evidence is that both conceptualization and available measures of government transparency are broad and sometimes imprecise, and that the concepts of transparency are often far removed from the type of information that is relevant to assess government performance.

This paper seeks to develop a more precise conceptualization and measure of transparency that is actionable for the stakeholders of government decisions. The paper uses newly collected data of more than 4 million public procurement contracts between 2006-2015 to investigate the impact of transparency on high-level corruption risks in public procurement across Europe. We find a strong negative impact of overall tender transparency on corruption risks. The results also show that exante transparency, i.e. transparency before the contract is awarded, has a stronger effect on corruption risks than ex-post transparency, i.e. the availability of information after the contract has been awarded to a bidder. This suggest that internal transparency, or transparency first and foremost directed to provide information to the parties involved in the bidding process rather than to outside observers, is the main condition for wider public accountability to emerge. However, the effectiveness of this type of transparency is strengthened in contexts where there is also a wider societal demand for reduced corruption. In sum, our results suggest that transparency can reduce corruption risks if the information is both relevant to inside observers and actionable….(More)”.

Technopolitics in the Age of Big Data


Chapter by Stefania Milan and Miren Gutierrez in the book on Networks, Movements and Technopolitics in Latin America: ‘Big data’ offer novel opportunities for civic engagement and foster the emergence of data activism, a form of technopolitics from the groundup that assumes people’s active engagement with data for empowerment. Proactive data activism, in particular, sees citizens taking advantage of the possibilities offered by data for advocacy and social change. This chapter combines social movement studies and media studies to analyze the emergence of proactive data activism in the Latin American continent. Analyzing the case of InfoAmazonia—a project blending citizen participation and data analysis to generate news about the endangered Amazon region—this chapter adds to our understanding of technopolitics as a way to reinterpret reality, empower people, facilitate collective action, and challenge the establish social norms embedded in our understanding of technology and social change. Furthermore, it contributes to the understanding of how data can restructure social reality, and in particular civil society action….(More) (Other chapters)”.

Can Measures Change the World?


Christopher Nelson, Anita Chandra & Carolyn Miller in Stanford Social Innovation Review: “Our ability to track and report all sorts of things is growing by the day, resulting in a proliferation of measures—the percentage of children attending preschool, the cost of housing, access to mental health services, to name just a few. It’s time that organizations begin to focus just as much effort on understanding how those measures can be more effectively used to change complex social systems….

It is often said that “what gets measured gets done.” This common phrase implicitly frames measurement not just as a tool for capturing information about systems but also as an intervention itself. This belief in the transformative power of measurement may partially explain the huge sums of money spent each year by governmental, nongovernmental, and private sector organizations in developing, maintaining, and publicizing measures….(More)”

Transatlantic Data Privacy


Paul M. Schwartz and Karl-Nikolaus Peifer in Georgetown Law Journal: “International flows of personal information are more significant than ever, but differences in transatlantic data privacy law imperil this data trade. The resulting policy debate has led the EU to set strict limits on transfers of personal data to any non-EU country—including the United States—that lacks sufficient privacy protections. Bridging the transatlantic data divide is therefore a matter of the greatest significance.

In exploring this issue, this Article analyzes the respective legal identities constructed around data privacy in the EU and the United States. It identifies profound differences in the two systems’ images of the individual as bearer of legal interests. The EU has created a privacy culture around “rights talk” that protects its “datasubjects.” In the EU, moreover, rights talk forms a critical part of the postwar European project of creating the identity of a European citizen. In the United States, in contrast, the focus is on a “marketplace discourse” about personal information and the safeguarding of “privacy consumers.” In the United States, data privacy law focuses on protecting consumers in a data marketplace.

This Article uses its models of rights talk and marketplace discourse to analyze how the EU and United States protect their respective data subjects and privacy consumers. Although the differences are great, there is still a path forward. A new set of institutions and processes can play a central role in developing mutually acceptable standards of data privacy. The key documents in this regard are the General Data Protection Regulation, an EU-wide standard that becomes binding in 2018, and the Privacy Shield, an EU–U.S. treaty signed in 2016. These legal standards require regular interactions between the EU and United States and create numerous points for harmonization, coordination, and cooperation. The GDPR and Privacy Shield also establish new kinds of governmental networks to resolve conflicts. The future of international data privacy law rests on the development of new understandings of privacy within these innovative structures….(More)”.

The Challenge of VR to the Liberal Democratic Order


Paper by Edward Castronova: “The rapid expansion of virtual reality (VR) technology in the years 2016-2021 awakens a significant constitutional issue. In a liberal democratic order, rule is by consent of the governed. In the medium-term future, many of the governed will be immersed fully within VR environments, environments which, we are told, will provide entertainment of extraordinary power. These people will be happy. Happy people do not demand change. Yet there surely will be a change as VR takes hold: The quality of life will erode. People fully immersed in VR will come to be isolated, sedentary, and unhealthy. Objectively speaking, this is nothing to be desired. Subjectively, however, it will seem to be wonderful. The people themselves will be happy, and they will resist interference. At the moment this matter concerns only a few thousand nerds, but trends in technology and entertainment point to a future in which many people will be happily living awful, VR-dominated lives. How then will the liberal democratic order promote human well-being while remaining a liberal and democratic order?…(More)”

plainlanguage.gov


plainlanguage.gov:The Plain Language Action and Information Network (PLAIN) is a group of federal employees from different agencies and specialties who support the use of clear communication in government writing. Originally called the Plain English Network, PLAIN has been meeting informally since the mid 1990s.

Our goal is to promote the use of plain language for all government communications. We believe that using plain language will save federal agencies time and money and provide better service to the American public.

To promote plain language, we:

It’s Time to Tax Companies for Using Our Personal Data


Saadia Madsbjerg in the New York Times: “Our data is valuable. Each year, it generates hundreds of billions of dollars’ worth of economic activity, mostly between and within corporations — all on the back of information about each of us.

It’s this transaction — between you, the user, giving up details of yourself to a company in exchange for a product like a photo app or email, or a whole ecosystem like Facebook — that’s worth by some estimates $1,000 per person per year, a number that is quickly rising.

The value of our personal data is primarily locked up in the revenues of large corporations. Some, like data brokerages, exist solely to buy and sell sets of that data.

Why should companies be the major, and often the only, beneficiaries of this largess? They shouldn’t. Those financial benefits need to be shared, and the best way to do it is to impose a small tax on this revenue and use the proceeds to build a better, more equitable internet and society that benefit us all.

The data tax could be a minor cost, less than 1 percent of the revenue companies earn from selling our personal data, spread out over an entire industry. Individually, no company’s bottom line would substantially suffer; collectively, the tax would pull money back to the public, from an industry profiting from material and labor that is, at its very core, our own.

This idea is not new. It is, essentially, a sales tax, among the oldest taxes that exist, but it hasn’t been done because assigning a fixed monetary value to our data can be very difficult. For a lot of internet businesses, our personal data either primarily flows through the business or remains locked within….(More)”.

Participatory Grant Making: Has its Time Come?


Paper by Cynthia Gibson for the Ford Foundation: “…During the past decade, all sectors of society have faced heightened demand for greater accountability and transparency. People have become more distrustful of established institutions, they are demanding more information about issues and decisions afecting them and their families and communities, and they want more voice in decision-making processes. Technological innovation also has created new possibilities — and new pressures — for organizations and institutions to become more democratic by involving the public in their work.

Philanthropy is not immune from these trends. While for decades, philanthropy was seen as endowed foundations set up by the rich, recent years have seen a surge in crowdfunding, giving circles, donor-advised funds, and a panoply of digital giving platforms that allow anyone to be a philanthropist. Alongside these, traditions of giving from within communities that existed long before philanthropy became professionalized have become more prominent.

Philanthropy and other felds also are being reshaped by the attitudes and capacities of a new generation of young people who have grown up with the Internet and embrace its culture of transparency and bottom-up action. Additionally, there is a growing awareness that many public challenges are exceedingly complex and won’t respond to one-shot solutions from experts or institutions working on their own.

These and other trends refect a backlash against the “establishment” occurring in politics, higher education, the media, and other felds in which elite interests are perceived to have drowned out the concerns of ordinary people. Americans of all stripes and political persuasions have come to believe they have little say in guiding public decisions and improving the health and well-being of their communities..

This paper assesses the embrace of participatory approaches to date by philanthropy and other felds. In assessing philanthropy’s record, the paper fnds examples of individual foundations and networks of funders that are experimenting with participatory approaches. It also, however, fnds that there is a great deal of talk about participation in the feld but comparatively little commitment to integrating these practices into foundations’ strategies and activities, and especially their cultures, over the long term…(More)”.