How to keep good research from dying a bad death: Strategies for co-creating research with impact


Blog post by Bridget Konadu Gyamfi and Bethany Park…:”Researchers are often invested in disseminating the results of their research to the practitioners and policymakers who helped enable it—but disseminating a paper, developing a brief, or even holding an event may not truly empower decision-makers to make changes based on the research.  

Disseminate results in stages and determine next steps

Mapping evidence to real-world decisions and processes in order to determine the right course of action can be complex. Together with our partners, we gather the troops—researchers, implementers, and IPA’s research and policy team—and have a discussion around what the implications of the research are for policy and practice.

This staged dissemination is critically important: having private discussions first helps partners digest the results and think through their reactions in a lower-stakes setting. We help the partners think about not only the results, but how their stakeholders will respond to the results, and how we can support their ongoing learning, whether results are “good” or not as hoped. Later, we hold larger dissemination events to inform the public. But we try to work closely with researchers and implementers to think through next steps right after results are available—before the window of opportunity passes.

Identify & prioritize policy opportunities

Many of our partners have already written smart advice about how to identify policy opportunities (windows, openings… etc.), so there’s no need for us to restate all that great thinking (go read it!). However, we get asked frequently how we prioritize policy opportunities, and we do have a clear internal process for making that decision. Here are our criteria:

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  1. A body of evidence to build on: One single study doesn’t often present the best policy opportunities. This is a generalization, of course, and there are exceptions, but typically our policy teams pay the most attention to bodies of evidence that are coming to a consensus. These are the opportunities for which we feel most able to recommend next steps related to policy and practice—there is a clearer message to communicate and research conclusions we can state with greater confidence.
  2. Relationships to open doors: Our long-term in-country presence and deep involvement with partners through research projects means that we have many relationships and doors open to us. Yet some of these relationships are stronger than others, and some partners are more influential in the processes we want to impact. We use stakeholder mapping tools to clarify who is invested and who has influence. We also track our stakeholder outreach to make sure our relationships stay strong and mutually beneficial.
  3. A concrete decision or process that we can influence: This is the typical understanding of a “policy opening,” and it’s an important one. What are the partner’s priorities, felt needs, and open questions? Where do those create opportunities for our influence? If the evidence would indicate one course of action, but that course isn’t even an option our partner would consider or be able to consider (for cost or other practical reasons), we have to give the opportunity a pass.
  4. Implementation funding: In the countries where we work, even when we have strong relationships, strong evidence, and the partner is open to influence, there is still one crucial ingredient missing: implementation funding. Addressing this constraint means getting evidence-based programming onto the agenda of major donors.

Get partners on board

Forming a coalition of partners and funders who will partner with us as we move forward is crucial. As a research and policy organization, we can’t scale effective solutions alone—nor is that the specialty that we want to develop, since there are others to fill that role. We need partners like Evidence Action Beta to help us pressure test solutions as they move towards scale, or partners like Living Goods who already have nationwide networks of community health workers who can reach communities efficiently and effectively. And we need governments who are willing to make public investments and decisions based on evidence….(More)”.

The Big (data) Bang: Opportunities and Challenges for Compiling SDG Indicators


Steve MacFeely at Global Policy: “Official statisticians around the world are faced with the herculean task of populating the Sustainable Development Goals global indicator framework. As traditional data sources appear to be insufficient, statisticians are naturally considering whether big data can contribute anything useful. While the statistical possibilities appear to be theoretically endless, in practice big data also present some enormous challenges and potential pitfalls: legal; ethical; technical; and reputational. This paper examines the opportunities and challenges presented by big data for compiling indicators to support Agenda 2030….(More)”.

Mapping the challenges and opportunities of artificial intelligence for the conduct of diplomacy


DiploFoundation: “This report provides an overview of the evolution of diplomacy in the context of artificial intelligence (AI). AI has emerged as a very hot topic on the international agenda impacting numerous aspects of our political, social, and economic lives. It is clear that AI will remain a permanent feature of international debates and will continue to shape societies and international relations.

It is impossible to ignore the challenges – and opportunities – AI is bringing to the diplomatic realm. Its relevance as a topic for diplomats and others working in international relations will only increase….(More)”.

Knowledge and Politics in Setting and Measuring SDGs


Special Issue of Global Policy: “The papers in this special issue investigate the politics that shaped the SDGs, the setting of the goals, the selection of the measurement methods. The SDGs ushered in a new era of ‘governance by indicators’ in global development. Goal setting and the use of numeric performance indicators have now become the method for negotiating a consensus vision of development and priority objectives.  The choice of indicators is seemingly a technical issue, but measurement methods interprets and reinterprets norms, carry value judgements, theoretical assumptions, and implicit political agendas.  As social scientists have long pointed out, reliance on indicators can distort social norms, frame hegemonic discourses, and reinforce power hierarchies. 

The case studies in this collection show the open multi-stakeholder negotiations helped craft more transformative and ambitious goals.  But across many goals, there was slippage in ambition when targets and indicators were selected.  The papers also highlight how the increasing role of big data and other non-traditional sources of data is altering data production, dissemination and use, and fundamentally altering the epistemology of information and knowledge.  This raises questions about ‘data for whom and for what’ – fundamental issues concerning the power of data to shape knowledge, the democratic governance of SDG indicators and of knowledge for development overall.

Introduction

Knowledge and Politics in Setting and Measuring the SDGs – Sakiko Fukuda-Parr and Desmond McNeill 

Case Studies

The Contested Discourse of Sustainable Agriculture – Desmond McNeill 

Gender Equality and Women’s Empowerment: Feminist Mobilization for the SDGs – Gita Sen

The Many Meanings of Quality Education: Politics of Targets and Indicators in SDG4 – Elaine Unterhalter 

Power, Politics and Knowledge Claims: Sexual and Reproductive Health and Rights in the SDG Era – Alicia Ely Yamin 

Keeping Out Extreme Inequality from The SDG Agenda – The Politics of Indicators – Sakiko Fukuda-Parr 

The Design of Environmental Priorities in the SDGs – Mark Elder and Simon Høiberg Olsen 

The Framing of Sustainable Consumption and Production in SDG 12  – Des Gasper, Amod Shah and Sunil Tankha 

Measuring Access to Justice: Transformation and Technicality in SDG 16.3. – Margaret L. Satterthwaite and Sukti Dhital 

Data Governance

The IHME in the Shifting Landscape of Global Health Metrics – Manjari Mahajan

The Big (data) Bang: Opportunities and Challenges for Compiling SDG Indicators – Steve MacFeely …(More)”

The Digitalization of Public Diplomacy


Book by Ilan Manor: “This book addresses how digitalization has influenced the institutions, practitioners and audiences of diplomacy. Throughout, the author argues that terms such as ‘digitalized public diplomacy’ or ‘digital public diplomacy’ are misleading, as they suggest that Ministries of Foreign Affairs (MFAs) are either digital or non-digital, when in fact digitalization should be conceptualized as a long-term process in which the values, norms, working procedures and goals of public diplomacy are challenged and re-defined. Subsequently, through case study examination, this book also argues that different MFAs are at different stages of the digitalization process. By adopting the term ‘the digitalization of public diplomacy’, this book will offer a new conceptual framework for investigating the impact of digitalization on the practice of public diplomacy….(More)”.

Participation 2.0? Crowdsourcing Participatory Development @ DFID


Paper by Anke Schwittay, Paul Braund: “Through an empirical analysis of Amplify, a crowdsourcing platform funded by the UK’s Department for International Development (DFID), we examine the potential of ICTs to afford more participatory development. Especially interactive Web2.0 technologies are often assumed to enable the participation of marginalized groups in their development, through allowing them to modify content and generate their own communication. 

We use the concepts of platform politics and voice to show that while Amplify managers and designers invested time and resources to include the voices of Amplify beneficiaries on the platform and elicit their feedback on projects supported via the platform, no meaningful participation took place. Our analysis of the gaps between participatory rhetoric, policy and practice concludes with suggestions for how ICTs could be harnessed to contribute to meaningful participatory development that matters materially and politically.,,,(More)”

Innovations in satellite measurements for development


Ran Goldblatt, Trevor Monroe, Sarah Elizabeth Antos, Marco Hernandez at the World Bank Data Blog: “The desire of human beings to “think spatially” to understand how people and objects are organized in space has not changed much since Eratosthenes—the Greek astronomer best known as the “father of Geography”—first used the term “Geographika” around 250 BC. Centuries later, our understanding of economic geography is being propelled forward by new data and new capabilities to rapidly process, analyze and convert these vast data flows into meaningful and near real-time information.

The increasing availability of satellite data has transformed how we use remote sensing analytics to understand, monitor and achieve the 2030 Sustainable Development Goals. As satellite data becomes ever more accessible and frequent, it is now possible not only to better understand how the Earth is changing, but also to utilize these insights to improve decision making, guide policy, deliver services, and promote better-informed governance. Satellites capture many of the physical, economic and social characteristics of Earth, providing a unique asset for developing countries, where reliable socio-economic and demographic data is often not consistently available. Analysis of satellite data was once relegated to researchers with access to costly data or to “super computers”. Today, the increased availability of “free” satellite data, combined with powerful cloud computing and open source analytical tools have democratized data innovation, enabling local governments and agencies to use satellite data to improve sector diagnostics, development indicators, program monitoring and service delivery.

Drivers of innovation in satellite measurements

  • Big (geo)data – Satellites in Global Development are improving every day, creating new opportunities for impact in development. They capture millions of images from Earth in different spatial, spectral and temporal resolutions, generating data in ever increasing volume, variety and velocity.
  • Open Source Open source annotated datasets, the World Bank’s Open Data, and other publicly available resources allow to process and document the data (e.g. Cumuluslabel maker) and perform machine learning analysis using common programming languages such as R or Python.
  • Crowd – crowdsource platforms like MTurkFigure-eight and Tomnod are used to collect and enhance inputs (reference data) to train machines to identify automatically specific objects and land cover on Earth.
  • High Quality Ground Truth –Robust algorithms that analyze the entire planet require diverse training data, and traditional development Microdata for use in machine learning training, validation and calibration, for example, to map urbanization processes.
  • Cloud – cloud computing and data storage capabilities within platforms like AWSAzure and Google Earth Engine provide scalable solutions for storage, management and parallel processing of large volumes of data.

…As petabytes of geo data are being collected, novel methods are developed to convert these data into meaningful information about the nature and pace of change on Earth, for example, the formation of urban landscapes and human settlements, the creation of transportation networks that connect cities or the conversion of natural forests into productive agricultural land. New possibilities emerge for harnessing this data for a better understanding about our changing world….(More)”.

Crowdsourced mapping in crisis zones: collaboration, organisation and impact


Amelia Hunt and Doug Specht in the Journal of International Humanitarian Action:  “Crowdsourced mapping has become an integral part of humanitarian response, with high profile deployments of platforms following the Haiti and Nepal earthquakes, and the multiple projects initiated during the Ebola outbreak in North West Africa in 2014, being prominent examples. There have also been hundreds of deployments of crowdsourced mapping projects across the globe that did not have a high profile.

This paper, through an analysis of 51 mapping deployments between 2010 and 2016, complimented with expert interviews, seeks to explore the organisational structures that create the conditions for effective mapping actions, and the relationship between the commissioning body, often a non-governmental organisation (NGO) and the volunteers who regularly make up the team charged with producing the map.

The research suggests that there are three distinct areas that need to be improved in order to provide appropriate assistance through mapping in humanitarian crisis: regionalise, prepare and research. The paper concludes, based on the case studies, how each of these areas can be handled more effectively, concluding that failure to implement one area sufficiently can lead to overall project failure….(More)”

The UN Principles on Personal Data Protection and Privacy


United Nations System: “The Principles on Personal Data Protection and Privacy set out a basic framework for the processing of personal data by, or on behalf of, the United Nations System Organizations in carrying out their mandated activities.

The Principles aim to: (i) harmonize standards for the protection of personal data across the UN System; (ii) facilitate the accountable processing of personal data; and (iii) ensure respect for the human rights and fundamental freedoms of individuals, in particular the right to privacy. These Principles apply to personal data, contained in any form, and processed in any manner. Where appropriate, they may also be used as a benchmark for the processing of non-personal data, in a sensitive context that may put certain individuals or groups of individuals at risk of harms. 
 
The High Level Committee on Management (HLCM) formally adopted the Principles at its 36th Meeting on 11 October 2018. The adoption followed the HLCM’s decision at its 35th Meeting in April 2018 to engage with the UN Data Privacy Policy Group (UN PPG) in developing a set of high-level principles on the cross-cutting issue of data privacy. Preceding the 36th HLCM meeting in October, the Principles were developed and unanimously endorsed by the organizations represented on the UN PPG….(More) (Download the Personal Data Protection and Privacy Principles)

Blockchain and Sustainable Growth


Cathy Mulligan in the UN Chronicle: “…What can blockchain give us, then?

Blockchain’s 1,000 Thought Experiments

Blockchain is still new and will evolve many times before it can be fully integrated into society. We have seen similar trajectories before in the technology industry; examples include the Internet of things, mobile telephony and even the Internet itself. Every one of those technologies went through various iterations before it was fully integrated and used within society. Many technical, social and political obstacles had to be slowly but surely overcome.

It is often useful, therefore, to approach emerging technologies with some depth of thought—not by expecting them to act immediately as a fully functional solution but rather as a lens on the possible. Such an approach allows for a broader discussion, one in which we can challenge our preconceived notions. Blockchain has already illustrated the power of individuals connected via the Internet with sufficient computing power at their disposal. Far from merely tweeting, taking and sharing photos or videos, such people can also create an entirely new economic structure.

The power of blockchain thus lies not in the technology itself but rather in how it has reframed many discussions across various parts of our society and economy. Blockchain shows us that there are options, that we can organize society differently. It has launched 1,000 different thought experiments but the resulting solutions, which will be delivered a decade or two from now, may or may not be based on blockchain or cryptocurrencies. The discussions that started from this point, however, will have been important contributions to the progress that society makes around digital technologies and what they can mean for humankind. For these reasons, it is important that everyone, including the United Nations, engage with these technologies to understand and learn from them.

At its most basic level, blockchain speaks to a deep, human need, one of being able to trust other people, organizations and companies in a world where most of our interactions are mediated and stored digitally. It is arguable how well it captures that notion of trust, or whether any technology can ever actually replicate what a human being thinks, feels and acts like when they trust and are trusted. These concepts are deeply human, as are the power structures within which digital solutions are built. Blockchain is often discussed as removing intermediaries or creating democratic solutions to problems, but it may merely replace existing analogue power structures with digital ones, and cause decision-making within such contexts to become more brutally binary. ‘Truth’ on the blockchain does not leave room for interpretation, as today’s systems do.

Context is critical for the development of any technology, as is the political economy within which it exists. Those who have tried to use blockchain, however, have quickly realized something: it forces a new level of cooperation. It requires partnerships and deep discussions of what transparency and inclusion truly look like….

Perhaps one of the reasons that blockchain has received so much attention is because it speaks to something that many people across the world are feeling instinctively: that we can only create new solutions to some of the world’s oldest problems by working together and including everyone in the discussion. Blockchain appeals to many people as a viable solution precisely because it is about applying a counter-intuitive approach to problems; despite the often technology-deterministic manner in which it is discussed, it is important to listen to the underlying message. The call to inclusion, trust and multilateralism that blockchain attempts to address from a technical perspective is one that will continue for many decades to come and one to which we must find new ways to respond via Governments, civil society, academia, non-governmental organizations and international organizations such as the United Nations….(More)”.