research paper / thesis / dissertation

Designing Successful Governance Groups

Curated on August 11, 2015August 3, 2018 by Stefaan Verhulst

“The Berkman Center for Internet & Society, together with the Global Network of Internet and Society Research Centers (NoC), is pleased to announce the release of a new publication, “Designing Successful Governance Groups: Lessons for Leaders from Real-World Examples,” authored by Ryan Budish, Sarah Myers West, and Urs Gasser.

Solutions to many of the world’s most pressing governance challenges, ranging from natural resource management to the governance of the Internet, require leaders to engage in multistakeholder processes. Yet, relatively little is known how to successfully lead such processes. This paper outlines a set of useful, actionable steps for policymakers and other stakeholders charged with creating, convening, and leading governance groups. The tools for success described in this document are distilled from research published earlier this year by Berkman and the NoC, a comprehensive report entitled “Multistakeholder as Governance Groups: Observations From Case Studies,” which closely examines 12 examples of real-world governance structures from around the globe and draws new conclusions about how to successfully form and operate governance groups.

This new publication, “Designing Successful Governance Groups,” focuses on the operational recommendations drawn from the earlier case studies and their accompanying synthesis paper. It provides an actionable starting place for those interested in understanding some of the critical ingredients for successful multistakeholder governance.

At the core of this paper are three steps that have helped conveners of successful governance groups:

Establish clear success criteria
Set the initial framework conditions for the group
Continually adjust steps 1 and 2 based on evolving contextual factors

The paper explores these three steps in greater detail and explains how they help implement one central idea: Governance groups work best when they are flexible and adaptive to new circumstances and needs and have conveners who understand how their decisions will affect the inclusiveness, transparency, accountability, and effectiveness of the group….(More)”

What We’ve Learned About Sharing Our Data Analysis

Curated on August 11, 2015August 3, 2018 by Stefaan Verhulst

Jeremy Singer-Vine at Source: “Last Friday morning, Jessica Garrison, Ken Bensinger, and I published a BuzzFeed News investigation highlighting the ease with which American employers have exploited and abused a particular type of foreign worker—those on seasonal H–2 visas. The article drew on seven months’ worth of reporting, scores of interviews, hundreds of documents—and two large datasets maintained by the Department of Labor.

That same morning, we published the corresponding data, methodologies, and analytic code on GitHub. This isn’t the first time we’ve open-sourced our data and analysis; far from it. But the H–2 project represents our most ambitious effort yet. In this post, I’ll describe our current thinking on “reproducible data analyses,” and how the H–2 project reflects those thoughts.

What Is “Reproducible Data Analysis”?

It’s helpful to break down a couple of slightly oversimplified definitions. Let’s call “open-sourcing” the act of publishing the raw code behind a software project. And let’s call “reproducible data analysis” the act of open-sourcing the code and data required to reproduce a set of calculations.

Journalism has seen a mini-boom of reproducible data analysis in the past year or two. (It’s far from a novel concept, of course.) FiveThirtyEight publishes data and re-runnable computer code for many of their stories. You can download the brains and brawn behind Leo, the New York Times’ statistical model for forecasting the outcome of the 2014 midterm Senate elections. And if you want to re-runBarron’s magazine’s analysis of SEC Rule 605 reports, you can do that, too. The list goes on.

….

Why Reproducible Data Analysis?

At BuzzFeed News, our main motivation is simple: transparency. If an article includes our own calculations (and are beyond a grade-schooler’s pen-and-paper calculations), then you should be able to see—and potentially criticize—how we did it…..

There are reasons, of course, not to publish a fully-reproducible analysis. The most obvious and defensible reason: Your data includes Social Security numbers, state secrets, or other sensitive information. Sometimes, you’ll be able to scrub these bits from your data. Other times, you won’t. (Adetailed methodology is a good alternative.)

How To Publish Reproducible Data Analysis?

At BuzzFeed News, we’re still figuring out the best way to skin this cat. Other news organizations might be arrive at entirely opposite conclusions. That said, here are some tips, based on our experience:

Describe the main data sources, and how you got them. Art appraisers and data-driven reporters agree: Provenance matters. Who collected the data? What universe of things does it quantify? How did you get it?.… (More)”

Open Data and Sub-national Governments: Lessons from Developing Countries

Curated on August 10, 2015August 3, 2018 by Stefaan Verhulst

WebFoundation: “Open government data (OGD) as a concept is gaining currency globally due to the strong advocacy of global organisations as Open Government Partnership. In recent years, there has been increased commitment on the part of national governments to proactively disclose information. However, much of the discussion on OGD is at the national level, especially in developing countries where commitments of proactive disclosure is conditioned by the commitments of national governments as expressed through the OGP national action plans. However, the local is important in the context of open data. In decentralized contexts, the local is where data is collected and stored, where there is strong feasibility that data will be published, and where data can generate the most impact when used. This synthesis paper wants to refocus the discussion of open government data in sub-national contexts by analysing nine country papers produced through the Open Data in Developing Countries research project.

Using a common research framework that focuses on context, governance setting, and open data initiatives, the study found out that there is substantial effort on the part of sub-national governments to proactively disclose data, however, the design delimits citizen participation, and eventually, use. Second, context demands diff erent roles for intermediaries and diff erent types of initiatives to create an enabling environment for open data. Finally, data quality will remain a critical challenge for sub-national governments in developing countries and it will temper potential impact that open data will be able to generate. Download the full research paper here“

Public Participation in Selected Civilizations: Problems and Potentials

Curated on August 6, 2015August 3, 2018 by Stefaan Verhulst

Paper by Sulaimon Adigun Muse and Sagie Narsiah: “Public participation is not a recent phenomenon. It has spanned centuries, cultures and civilizations. The aim of this paper is to present a historical overview of public participation in some selected civilizations across the globe. The conceptual basis of the paper is premised on participatory democracy. It will adopt an analytical and historical approach. Scholars have recognized that public participation remains a relevant concept globally. The concept is not unproblematic, but there is enormous potential for substantive democratization of the public sphere. Hence, one of the key recommendations of the paper is that the potentials of public participation have to be fully explored and exploited….(More)”

Who Are You Calling Irrational?

Curated on August 5, 2015August 3, 2018 by Stefaan Verhulst

New paper by Aneil Kovvali: “Cass Sunstein is the leading advocate of “nudges” – small policy interventions that yield major impacts because of behavioral quirks in the way that people process information. Such interventions form the core of Sunstein’s philosophy of “libertarian paternalism,” which seeks to improve on individuals’ decisions while preserving their freedom to choose. In “Why Nudge?”, Sunstein forcefully defends libertarian paternalism against John Stuart Mill’s famous Harm Principle, which holds that government should only coerce a person when it is acting to prevent harm to others. Sunstein urges that unlike more coercive measures, nudges respect subjects’ goals, even as they reshape their choices. Using an analogy to voting paradoxes, this review shows that reconciling multiple, inconsistent goals is a fundamentally challenging problem; the challenge leaves even deliberative individuals vulnerable to manipulation through nudges. The fact of inconsistent goals means that government regulators who deploy nudges select and impose their own objectives, instead of merely advancing the goals of the regulated. The analogy also highlights that multimember legislative bodies are subject to many of the same quirks as individuals, raising questions about the government’s ability to improve on individuals’ choices….(More)”

How can we ensure that cities create opportunities for healthy urbanization?

Curated on August 5, 2015August 3, 2018 by Stefaan Verhulst

Blog by Roy Ahn, Thomas F. Burke & Anita M. McGahan on their new book: “By the year 2100, 8 out of 10 people in the world will reside in cities – a major change in demographics compared to 100 years ago.

Urbanization has sweeping consequences for population health. Most analysts evaluate the “specter of urbanization” by focusing on problems and challenges, which can include slum development, insecurity, and inequality.

As the World Health Organization and UN Habitat note in their seminal report, Hidden Cities, “Cities concentrate opportunities, jobs and services, but they also concentrate risks and hazards for health.” The urban poor are especially vulnerable because their housing conditions and access to clean water, sanitation, and health care are often severely compromised.

Additionally, the jobs available to the urban poor are often informal, dangerous, and temporary. Yet the lack of integrated governance and infrastructure responsible for urbanization problems also can create remarkable and often untapped opportunities for improving health. How can we ensure that cities create opportunities for healthy urbanization?

In our new book, Innovating for Healthy Urbanization, we argue that using the “innovations” lens can provide a unique platform through which solutions for urbanization and health can emerge.

Sometimes “innovations” can be decidedly high tech, such as holograms on medication packaging that protect against drug counterfeiters, or tiny filter paper tests costing pennies that exponentially increase access to medical diagnostic testing for poor people living in cities.

Other innovations are less tech-focused, but equally impactful, such as advocating for motorcycle helmet laws in cities or a low-cost, condom catheter-balloon kit that can save mothers from dying from postpartum hemorrhage.

What makes both high- and low-tech solutions effective? Pushing the envelope on what works and then integrating solutions to meet a community’s priority needs…..(More)”

Datafication and empowerment: How the open data movement re-articulates notions of democracy, participation, and journalism

Curated on July 27, 2015August 3, 2018 by Stefaan Verhulst

Paper by Stefan Baack at Big Data and Society: “This article shows how activists in the open data movement re-articulate notions of democracy, participation, and journalism by applying practices and values from open source culture to the creation and use of data. Focusing on the Open Knowledge Foundation Germany and drawing from a combination of interviews and content analysis, it argues that this process leads activists to develop new rationalities around datafication that can support the agency of datafied publics. Three modulations of open source are identified: First, by regarding data as a prerequisite for generating knowledge, activists transform the sharing of source code to include the sharing of raw data. Sharing raw data should break the interpretative monopoly of governments and would allow people to make their own interpretation of data about public issues. Second, activists connect this idea to an open and flexible form of representative democracy by applying the open source model of participation to political participation. Third, activists acknowledge that intermediaries are necessary to make raw data accessible to the public. This leads them to an interest in transforming journalism to become an intermediary in this sense. At the same time, they try to act as intermediaries themselves and develop civic technologies to put their ideas into practice. The article concludes with suggesting that the practices and ideas of open data activists are relevant because they illustrate the connection between datafication and open source culture and help to understand how datafication might support the agency of publics and actors outside big government and big business….(More)“

Crowdsourcing: a survey of applications

Curated on July 27, 2015August 3, 2018 by Stefaan Verhulst

Paper by Jayshri Namdeorao Ganthade, Sunil R. Gupta: “Crowdsourcing, itself a multidisciplinary field, can be well-served by incorporating theories and methods from affective computing. We present a various applications which are based on crowdsourcing. The direction of research on principles and methods can enable to solve a general problem via human computation systems. Crowdsourcing is nothing but an act of outsourcing tasks to a large group of people through an open request via the Internet. It has become popular among social scientists as a source to recruit research participants from the general public for studies. Crowdsourcing is introduced as the new online distributed problem solving model in which networked people collaborate to complete a task and produce the result. However, the idea of crowdsourcing is not new, and can be traced back to Charles Darwin. Darwin was interested in studying the universality of facial expressions in conveying emotions. For this, it required large amount of database and for this he had to consider a global population to get more general conclusions.
This paper provides an introduction to crowdsourcing, guidelines for using crowdsourcing, and its applications in various fields. Finally, this article proposes conclusion which is based upon applications of crowdsourcing….(More)”.

Digital government evolution: From transformation to contextualization

Curated on July 27, 2015October 23, 2018 by Stefaan Verhulst

Paper by Tomasz Janowski in the Government Information Quarterly: “The Digital Government landscape is continuously changing to reflect how governments are trying to find innovative digital solutions to social, economic, political and other pressures, and how they transform themselves in the process. Understanding and predicting such changes is important for policymakers, government executives, researchers and all those who prepare, make, implement or evaluate Digital Government decisions. This article argues that the concept of Digital Government evolves toward more complexity and greater contextualization and specialization, similar to evolution-like processes that lead to changes in cultures and societies. To this end, the article presents a four-stage Digital Government Evolution Model comprising Digitization (Technology in Government), Transformation (Electronic Government), Engagement (Electronic Governance) and Contextualization (Policy-Driven Electronic Governance) stages; provides some evidence in support of this model drawing upon the study of the Digital Government literature published in Government Information Quarterly between 1992 and 2014; and presents a Digital Government Stage Analysis Framework to explain the evolution. As the article consolidates a representative body of the Digital Government literature, it could be also used for defining and integrating future research in the area….(More)”