Crowdsourcing global governance: sustainable development goals, civil society, and the pursuit of democratic legitimacy


Paper by Joshua C. Gellers in International Environmental Agreements: Politics, Law and Economics: “To what extent can crowdsourcing help members of civil society overcome the democratic deficit in global environmental governance? In this paper, I evaluate the utility of crowdsourcing as a tool for participatory agenda-setting in the realm of post-2015 sustainable development policy. In particular, I analyze the descriptive representativeness (e.g., the degree to which participation mirrors the demographic attributes of non-state actors comprising global civil society) of participants in two United Nations orchestrated crowdsourcing processes—the MY World survey and e-discussions regarding environmental sustainability. I find that there exists a perceptible demographic imbalance among contributors to the MY World survey and considerable dissonance between the characteristics of participants in the e-discussions and those whose voices were included in the resulting summary report. The results suggest that although crowdsourcing may present an attractive technological approach to expand participation in global governance, ultimately the representativeness of that participation and the legitimacy of policy outputs depend on the manner in which contributions are solicited and filtered by international institutions….(More)”

The Open Data Barometer (3rd edition)


The Open Data Barometer: “Once the preserve of academics and statisticians, data has become a development cause embraced by everyone from grassroots activists to the UN Secretary-General. There’s now a clear understanding that we need robust data to drive democracy and development — and a lot of it.

Last year, the world agreed the Sustainable Development Goals (SDGs) — seventeen global commitments that set an ambitious agenda to end poverty, fight inequality and tackle climate change by 2030. Recognising that good data is essential to the success of the SDGs, the Global Partnership for Sustainable Development Data and the International Open Data Charter were launched as the SDGs were unveiled. These alliances mean the “data revolution” now has over 100 champions willing to fight for it. Meanwhile, Africa adopted the African Data Consensus — a roadmap to improving data standards and availability in a region that has notoriously struggled to capture even basic information such as birth registration.

But while much has been made of the need for bigger and better data to power the SDGs, this year’s Barometer follows the lead set by the International Open Data Charter by focusing on how much of this data will be openly available to the public.

Open data is essential to building accountable and effective institutions, and to ensuring public access to information — both goals of SDG 16. It is also essential for meaningful monitoring of progress on all 169 SDG targets. Yet the promise and possibilities offered by opening up data to journalists, human rights defenders, parliamentarians, and citizens at large go far beyond even these….

At a glance, here are this year’s key findings on the state of open data around the world:

    • Open data is entering the mainstream.The majority of the countries in the survey (55%) now have an open data initiative in place and a national data catalogue providing access to datasets available for re-use. Moreover, new open data initiatives are getting underway or are promised for the near future in a number of countries, including Ecuador, Jamaica, St. Lucia, Nepal, Thailand, Botswana, Ethiopia, Nigeria, Rwanda and Uganda. Demand is high: civil society and the tech community are using government data in 93% of countries surveyed, even in countries where that data is not yet fully open.
    • Despite this, there’s been little to no progress on the number of truly open datasets around the world.Even with the rapid spread of open government data plans and policies, too much critical data remains locked in government filing cabinets. For example, only two countries publish acceptable detailed open public spending data. Of all 1,380 government datasets surveyed, almost 90% are still closed — roughly the same as in the last edition of the Open Data Barometer (when only 130 out of 1,290 datasets, or 10%, were open). What is more, much of the approximately 10% of data that meets the open definition is of poor quality, making it difficult for potential data users to access, process and work with it effectively.
    • “Open-washing” is jeopardising progress. Many governments have advertised their open data policies as a way to burnish their democratic and transparent credentials. But open data, while extremely important, is just one component of a responsive and accountable government. Open data initiatives cannot be effective if not supported by a culture of openness where citizens are encouraged to ask questions and engage, and supported by a legal framework. Disturbingly, in this edition we saw a backslide on freedom of information, transparency, accountability, and privacy indicators in some countries. Until all these factors are in place, open data cannot be a true SDG accelerator.
    • Implementation and resourcing are the weakest links.Progress on the Barometer’s implementation and impact indicators has stalled or even gone into reverse in some cases. Open data can result in net savings for the public purse, but getting individual ministries to allocate the budget and staff needed to publish their data is often an uphill battle, and investment in building user capacity (both inside and outside of government) is scarce. Open data is not yet entrenched in law or policy, and the legal frameworks supporting most open data initiatives are weak. This is a symptom of the tendency of governments to view open data as a fad or experiment with little to no long-term strategy behind its implementation. This results in haphazard implementation, weak demand and limited impact.
    • The gap between data haves and have-nots needs urgent attention.Twenty-six of the top 30 countries in the ranking are high-income countries. Half of open datasets in our study are found in just the top 10 OECD countries, while almost none are in African countries. As the UN pointed out last year, such gaps could create “a whole new inequality frontier” if allowed to persist. Open data champions in several developing countries have launched fledgling initiatives, but too often those good open data intentions are not adequately resourced, resulting in weak momentum and limited success.
    • Governments at the top of the Barometer are being challenged by a new generation of open data adopters. Traditional open data stalwarts such as the USA and UK have seen their rate of progress on open data slow, signalling that new political will and momentum may be needed as more difficult elements of open data are tackled. Fortunately, a new generation of open data adopters, including France, Canada, Mexico, Uruguay, South Korea and the Philippines, are starting to challenge the ranking leaders and are adopting a leadership attitude in their respective regions. The International Open Data Charter could be an important vehicle to sustain and increase momentum in challenger countries, while also stimulating renewed energy in traditional open data leaders….(More)”

Selected Readings on Data and Humanitarian Response


By Prianka Srinivasan and Stefaan G. Verhulst *

The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of data and humanitarian response was originally published in 2016.

Data, when used well in a trusted manner, allows humanitarian organizations to innovate how to respond to emergency events, including better coordination of post-disaster relief efforts, the ability to harness local knowledge to create more targeted relief strategies, and tools to predict and monitor disasters in real time. Consequently, in recent years both multinational groups and community-based advocates have begun to integrate data collection and evaluation strategies into their humanitarian operations, to better and more quickly respond to emergencies. However, this movement poses a number of challenges. Compared to the private sector, humanitarian organizations are often less equipped to successfully analyze and manage big data, which pose a number of risks related to the security of victims’ data. Furthermore, complex power dynamics which exist within humanitarian spaces may be further exacerbated through the introduction of new technologies and big data collection mechanisms. In the below we share:

  • Selected Reading List (summaries and hyperlinks)
  • Annotated Selected Reading List
  • Additional Readings

Selected Reading List  (summaries in alphabetical order)

Data and Humanitarian Response

Risks of Using Big Data in Humanitarian Context

Annotated Selected Reading List (in alphabetical order)

Karlsrud, John. “Peacekeeping 4.0: Harnessing the Potential of Big Data, Social Media, and Cyber Technologies.” Cyberspace and International Relations, 2013. http://bit.ly/235Qb3e

  • This chapter from the book “Cyberspace and International Relations” suggests that advances in big data give humanitarian organizations unprecedented opportunities to prevent and mitigate natural disasters and humanitarian crises. However, the sheer amount of unstructured data necessitates effective “data mining” strategies for multinational organizations to make the most use of this data.
  • By profiling some civil-society organizations who use big data in their peacekeeping efforts, Karlsrud suggests that these community-focused initiatives are leading the movement toward analyzing and using big data in countries vulnerable to crisis.
  • The chapter concludes by offering ten recommendations to UN peacekeeping forces to best realize the potential of big data and new technology in supporting their operations.

Mancini, Fancesco. “New Technology and the prevention of Violence and Conflict.” International Peace Institute, 2013. http://bit.ly/1ltLfNV

  • This report from the International Peace Institute looks at five case studies to assess how information and communications technologies (ICTs) can help prevent humanitarian conflicts and violence. Their findings suggest that context has a significant impact on the ability for these ICTs for conflict prevention, and any strategies must take into account the specific contingencies of the region to be successful.
  • The report suggests seven lessons gleaned from the five case studies:
    • New technologies are just one in a variety of tools to combat violence. Consequently, organizations must investigate a variety of complementary strategies to prevent conflicts, and not simply rely on ICTs.
    • Not every community or social group will have the same relationship to technology, and their ability to adopt new technologies are similarly influenced by their context. Therefore, a detailed needs assessment must take place before any new technologies are implemented.
    • New technologies may be co-opted by violent groups seeking to maintain conflict in the region. Consequently, humanitarian groups must be sensitive to existing political actors and be aware of possible negative consequences these new technologies may spark.
    • Local input is integral to support conflict prevention measures, and there exists need for collaboration and awareness-raising with communities to ensure new technologies are sustainable and effective.
    • Information shared between civil-society has more potential to develop early-warning systems. This horizontal distribution of information can also allow communities to maintain the accountability of local leaders.

Meier, Patrick. “Digital humanitarians: how big data is changing the face of humanitarian response.” Crc Press, 2015. http://amzn.to/1RQ4ozc

  • This book traces the emergence of “Digital Humanitarians”—people who harness new digital tools and technologies to support humanitarian action. Meier suggests that this has created a “nervous system” to connect people from disparate parts of the world, revolutionizing the way we respond to humanitarian crises.
  • Meier argues that such technology is reconfiguring the structure of the humanitarian space, where victims are not simply passive recipients of aid but can contribute with other global citizens. This in turn makes us more humane and engaged people.

Robertson, Andrew and Olson, Steve. “Using Data Sharing to Improve Coordination in Peacebuilding.” United States Institute for Peace, 2012. http://bit.ly/235QuLm

  • This report functions as an overview of a roundtable workshop on Technology, Science and Peace Building held at the United States Institute of Peace. The workshop aimed to investigate how data-sharing techniques can be developed for use in peace building or conflict management.
  • Four main themes emerged from discussions during the workshop:
    • “Data sharing requires working across a technology-culture divide”—Data sharing needs the foundation of a strong relationship, which can depend on sociocultural, rather than technological, factors.
    • “Information sharing requires building and maintaining trust”—These relationships are often built on trust, which can include both technological and social perspectives.
    • “Information sharing requires linking civilian-military policy discussions to technology”—Even when sophisticated data-sharing technologies exist, continuous engagement between different stakeholders is necessary. Therefore, procedures used to maintain civil-military engagement should be broadened to include technology.
    • “Collaboration software needs to be aligned with user needs”—technology providers need to keep in mind the needs of its users, in this case peacebuilders, in order to ensure sustainability.

United Nations Independent Expert Advisory Group on a Data Revolution for Sustainable Development. “A World That Counts, Mobilizing the Data Revolution.” 2014. https://bit.ly/2Cb3lXq

  • This report focuses on the potential benefits and risks data holds for sustainable development. Included in this is a strategic framework for using and managing data for humanitarian purposes. It describes a need for a multinational consensus to be developed to ensure data is shared effectively and efficiently.
  • It suggests that “people who are counted”—i.e., those who are included in data collection processes—have better development outcomes and a better chance for humanitarian response in emergency or conflict situations.

Katie Whipkey and Andrej Verity. “Guidance for Incorporating Big Data into Humanitarian Operations.” Digital Humanitarian Network, 2015. http://bit.ly/1Y2BMkQ

  • This report produced by the Digital Humanitarian Network provides an overview of big data, and how humanitarian organizations can integrate this technology into their humanitarian response. It primarily functions as a guide for organizations, and provides concise, brief outlines of what big data is, and how it can benefit humanitarian groups.
  • The report puts forward four main benefits acquired through the use of big data by humanitarian organizations: 1) the ability to leverage real-time information; 2) the ability to make more informed decisions; 3) the ability to learn new insights; 4) the ability for organizations to be more prepared.
  • It goes on to assess seven challenges big data poses for humanitarian organizations: 1) geography, and the unequal access to technology across regions; 2) the potential for user error when processing data; 3) limited technology; 4) questionable validity of data; 5) underdeveloped policies and ethics relating to data management; 6) limitations relating to staff knowledge.

Risks of Using Big Data in Humanitarian Context
Crawford, Kate, and Megan Finn. “The limits of crisis data: analytical and ethical challenges of using social and mobile data to understand disasters.” GeoJournal 80.4, 2015. http://bit.ly/1X0F7AI

  • Crawford & Finn present a critical analysis of the use of big data in disaster management, taking a more skeptical tone to the data revolution facing humanitarian response.
  • They argue that though social and mobile data analysis can yield important insights and tools in crisis events, it also presents a number of limitations which can lead to oversights being made by researchers or humanitarian response teams.
  • Crawford & Finn explore the ethical concerns the use of big data in disaster events introduces, including issues of power, privacy, and consent.
  • The paper concludes by recommending that critical data studies, such as those presented in the paper, be integrated into crisis event research in order to analyze some of the assumptions which underlie mobile and social data.

Jacobsen, Katja Lindskov (2010) Making design safe for citizens: A hidden history of humanitarian experimentation. Citizenship Studies 14.1: 89-103. http://bit.ly/1YaRTwG

  • This paper explores the phenomenon of “humanitarian experimentation,” where victims of disaster or conflict are the subjects of experiments to test the application of technologies before they are administered in greater civilian populations.
  • By analyzing the particular use of iris recognition technology during the repatriation of Afghan refugees to Pakistan in 2002 to 2007, Jacobsen suggests that this “humanitarian experimentation” compromises the security of already vulnerable refugees in order to better deliver biometric product to the rest of the world.

Responsible Data Forum. “Responsible Data Reflection Stories: An Overview.” http://bit.ly/1Rszrz1

  • This piece from the Responsible Data forum is primarily a compilation of “war stories” which follow some of the challenges in using big data for social good. By drawing on these crowdsourced cases, the Forum also presents an overview which makes key recommendations to overcome some of the challenges associated with big data in humanitarian organizations.
  • It finds that most of these challenges occur when organizations are ill-equipped to manage data and new technologies, or are unaware about how different groups interact in digital spaces in different ways.

Sandvik, Kristin Bergtora. “The humanitarian cyberspace: shrinking space or an expanding frontier?” Third World Quarterly 37:1, 17-32, 2016. http://bit.ly/1PIiACK

  • This paper analyzes the shift toward more technology-driven humanitarian work, where humanitarian work increasingly takes place online in cyberspace, reshaping the definition and application of aid. This has occurred along with what many suggest is a shrinking of the humanitarian space.
  • Sandvik provides three interpretations of this phenomena:
    • First, traditional threats remain in the humanitarian space, which are both modified and reinforced by technology.
    • Second, new threats are introduced by the increasing use of technology in humanitarianism, and consequently the humanitarian space may be broadening, not shrinking.
    • Finally, if the shrinking humanitarian space theory holds, cyberspace offers one example of this, where the increasing use of digital technology to manage disasters leads to a contraction of space through the proliferation of remote services.

Additional Readings on Data and Humanitarian Response

* Thanks to: Kristen B. Sandvik; Zara Rahman; Jennifer Schulte; Sean McDonald; Paul Currion; Dinorah Cantú-Pedraza and the Responsible Data Listserve for valuable input.

Innovating for pro-poor services: Why politics matter


Nathaniel Mason, Clare Cummings and Julian Doczi for ODI insights: “To solve sustainable development challenges, such as the provision of universal access to basic services, we need new ideas, as well as old ideas applied in new ways and new places. The pace of global innovation, particularly digital innovation, is generating optimism, positioning the world at the start of the ‘Fourth Industrial Revolution’.1 Innovation can make basic services cheaper, more accessible, more relevant and more desirable for poor people. However, we also know few innovations lead to sustainable, systemic change. The barriers the this are often political – including problems related to motivation, power and collective action. Yet, just as political factors can prevent innovations from being widely adopted, politically smart approaches can help in navigating and mitigating these challenges. And, because innovations can alter the balance of power in societies and markets, they can both provoke new and challenging politics themselves and also help unlock systemic political change. When and why does politics affect innovation? What does this mean for donors, foundations and impact investors backing innovations for development?…(More)

Participatory Budgeting


UN statistics commission agrees starting point for SDG oversight


Emma Rumney at Public Finance: “The United Nations Statistical Commission agreed on a set of 230 preliminary indicators to measure progress towards the 17 Sustainable Development Goals published last September.

Wu Hongbo, under secretary general of the UN Department of Economic and Social Affairs, of which the UKSC is part, said “completing the indicator framework is not the end of the story – on the contrary, it is the beginning”.

Hongbo said it was necessary to acknowledge that developing a high-quality set of indicators is a technical and necessarily continuous process, “with refinements and improvements” made as “knowledge improves and new data sources become available”.

One challenge will entail the effective disaggregation of data, by income, sex, age, race, ethnicity, migratory status, disability, geographic location and more, to allow coverage of specific sectors of the population.

This will be essential if the SDGs are to be implemented successfully.

Hongbo said this will require “an unprecedented amount of data to be produced and analysed”, posing a significant challenge to national statistics systems in both the developing and developed world.

National and regional authorities will also have to develop their own indicators for regional, national and sub-national monitoring, as the global indicators won’t be able to account for different realities, capacities and levels of development.

The statistical commission will now submit its initial global indicator framework to the UN’s Economic and Social Council and General Assembly for adoption….(More)

See also:

Changing views of how to change the world


World leaders concluded three large agreements last year. Each represents a vision of how to change the world. The Addis Ababa Action Agenda on financing for development agreed to move from “billions to trillions” of cross-border flows to developing countries. The agreement on universal sustainable development goals (SDGs) sets out priorities (albeit a long list) for what needs to change. The Paris Agreement on climate change endorses a shift to low-carbon (and ultimately zero carbon) economic growth trajectories.

There is a common thread to these agreements. They each reflect a new theory of how to change the world that is not made explicit but has evolved as a matter of practice. Understanding this new theory is crucial to successful implementation strategies of the three agreements.

In the past, when governments have wanted to change the world, they negotiated intergovernmentalagreements….

The new theory of how to change the world can be stripped down to three elements.

  • Use market forces to drive business towards scalable investments that simultaneously generate sustainable solutions to development challenges;
  • Create more data from more sources with more disaggregation, and make these more easily transparent and accessible, to drive towards evidence-based reforms and accountability;
  • Encourage innovations (technical, organizational, and business-model) to drive the world away from business-as-usual…(More)”

 

Transparency, accountability, and technology


Shanthi Kalathil at Plan International: “The recently launched Sustainable Development Goals have kicked off a renewed development agenda that features, among other things, a dedicated emphasis on peace, justice, and strong institutions. This emphasis, encapsulated in Goal #16, contains several sub-priorities, including reducing corruption; developing effective, accountable, and transparent institutions; ensuring inclusive, participatory, and representative decision-making; and ensuring access to information.

Indeed, the governance-related Goals merely stamp an official imprimatur on what have now become key buzzwords in development. Naturally, where there are buzzwords, there are “tools.” In many cases, those “tools” turn out to be information and communications technologies, and the data flows they facilitate. It’s no wonder, then, that technology has been embraced by the development community as a crucial component of the global accountability and transparency “toolkit.”

Certainly, information and communication technology for development (ICT4D) has long been a part of the development conversation. More recently, ICTs have emerged prominently in the context of good governance, transparency, and accountability. Yet – despite a growing number of studies and evaluations – there hasn’t been a field-wide deeper reckoning with technology’s role in fostering accountability. Technology often seems to promise greater transparency and empowered citizen voice, fitting seamlessly into broader goals of good governance for development. Yet the actual track record of many initiatives has been spotty, and dedicated examination has been sparse (although efforts are underway to change this). That hasn’t stemmed the enthusiasm to press ahead with tech-related applications and open-data-everything; if anything, calls for more critical examination are often treated as mere bumps on the road to progress.

One problem with the “tool for accountability” frame is that it minimizes the political, economic, and social ramifications of technology itself, including the complex web of laws, regulation, culture, norms, and power relations that accompany any form of communication. This means that, while many of these projects tackle the accountability piece using the recommended political economy lens, there is no corresponding emphasis on the communications and/or technology side of the equation. Referring to technology primarily as a “tool” to facilitate aspects of good governance, accountability, or transparency reinforces the idea that it’s merely a widget, one that doesn’t carry its own complexities. It subsumes technology as a means to a broader end, and in doing so, minimizes its ramifications. This, in turn, can lead to unintended or unsustainable outcomes.

Perhaps the answer, then, is to view accountability projects that employ technology in a different way. It’s time to ditch the “tech toolkit,” and instead embrace the emergence of a truly hybrid field with its own unique political economy. This will require a deeper engagement with the power relations that accompany the introduction of technology, and is likely to illuminate a host of issues that currently lie hidden in the planning stage and beyond. This deeper engagement will also require a rethink of current design, monitoring, and evaluation practices; so, for example, in addition to understanding the accountability challenge in question, program design will have to incorporate an equally substantive analysis of the political economy of the proposed ICT intervention, including stakeholders, potential obstacles, and an examination of all possible outcomes (intended or otherwise). While this will require substantial effort, by moving beyond the toolkit approach, we may be able to engage holistically with transparency, accountability, AND technology in ways that could lead to more sustained development impact. (Read the Report)

Translator Gator


Yulistina Riyadi & Lalitia Apsar at Global Pulse: “Today Pulse Lab Jakarta launches Translator Gator, a new language game to support research initiatives in Indonesia. Players can earn phone credit by translating words between English and six common Indonesian languages. The database of keywords generated by the game will be used by researchers on topics ranging from computational social science to public policy.

Translator Gator is inspired by the need to socialise the 17 Sustainable Development Goals (SDGs), currently being integrated into the Government of Indonesia’s programme, and the need to better monitor progress against the varied indicators. Thus, Translator Gator will raise awareness of the SDGs and develop a taxonomy of keywords to inform research.

An essential element of public policy research is to pay attention to citizens’ feedback, both active and passive, for instance, citizens’ complaints to governments through official channels and on social media. To do this in a computational manner, researchers need a set of keywords, or ‘taxonomy’, by topic or government priorities for example.

But given the rich linguistic and cultural diversity in Indonesia, this poses some difficulties in that many languages and dialects are used in different provinces and islands. On social media, such variations – including jargon – make building a list of keywords more challenging as words, context and, by extension, meaning change from region to region. …(More)”

Humanity 360: World Humanitarian Data and Trends 2015


OCHA: “WORLD HUMANITARIAN DATA AND TRENDS

Highlights major trends, challenges and opportunities in the nature of humanitarian crises, showing how the humanitarian landscape is evolving in a rapidly changing world.

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LEAVING NO ONE BEHIND: HUMANITARIAN EFFECTIVENESS IN THE AGE OF THE SUSTAINABLE DEVELOPMENT GOALS

Exploring what humanitarian effectiveness means in today’s world ‐ better meeting the needs of people in crisis, better moving people out of crisis.

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TOOLS FOR DATA COORDINATION AND COLLECTION