The NGO-Academia interface: obstacles to collaboration, lessons from systems thinking and suggested ways forward


Duncan Green at LSE Impact Blog: “The case for partnership between international non-governmental organisations (INGOs) and academia to advance development knowledge is strong. INGOs bring presence on the ground – through their own operations or long-term local partnerships – and communication and advocacy skills (not always academics’ strong point). Academia contributes research skills and credibility, and a long-term reflective perspective that the more frenetic forms of operational work and activism often lack.

In practice, however, such partnerships have proven remarkably difficult, partly because INGOs and academia are too complementary – there is so little overlap between their respective worlds that it is often difficult to find ways to work together.

Obstacles to collaboration

  • Impact vs publication:…
  • Urgency vs “wait and see”: …
  • Status quo vs originality: …
  • Thinking vs talking: ….

Systems thinking approaches

Some of the problems that arise in the academic–INGO interface stem from overly linear approaches to what is, in effect, an ideas and knowledge ecosystem. In such contexts, systems thinking can help identify bottlenecks and suggest possible ways forward.

Getting beyond supply and demand to convening and brokering

Supply-driven is the norm in development research – “experts” churning out policy papers, briefings, books, blogs, etc. Being truly demand-driven is hard even to imagine – an NGO or university department submitting themselves to a public poll on what should be researched? But increasingly in areas such as governance or value chains, we try and move beyond both supply and demand to a convening/brokering role, bringing together different “unusual suspects”. What would that look like in research? Action research, with an agenda that emerges from an interaction between communities and researchers? Natural science seems further ahead on this point: when the Dutch National Research Agenda ran a nationwide citizen survey of research questions they wanted science to look at, 12,000 questions were submitted and clustered into 140 questions, under seven or eight themes. To the organisers’ surprise, many citizens asked quite deep questions.

Most studies identify a need for “knowledge brokers” not only to bridge the gap between the realms of science and policy, but also to synthesise and transform evidence into an effective and usable form for policy and practice. An essential feature of knowledge brokers is that they understand the cultures of both worlds. Often, this role is performed by third-sector organisations of various types (from lobbyists to thinktanks to respected research funders). Some academics can transcend this divide. A few universities employ specialist knowledge brokers but their long-term effectiveness is often constrained by low status, insecure contracts and lack of career pathways. Whoever plays this crucial intermediary role, it appears that it is currently under-resourced within and beyond the university system. In the development sector, the nearest thing to an embedded gateway is the Governance and Social Development Resource Centre (GSDRC), run by Birmingham University and the IDS and largely funded by the Department for International Development. It conducts literature and evidence reviews on a range of topics, drawing evidence from both academic literature and non-academic institutions….

Ways forward

Based on all of the above, a number of ideas emerge for consideration by academics, INGOs and funders of research.

Suggestions for academics

Comments on previous blog posts provided a wealth of practical advice to academics on how to work more productively with INGOs. These include the following:

  • Create research ideas and proposals collaboratively. This means talking to each other early on, rather than academics looking for NGOs to help their dissemination, or NGOs commissioning academics to undertake policy-based evidence making.
  • Don’t just criticise and point to gaps – understand the reasons for them (gaps in both NGO programmes and their research capacity) and propose solutions. Work to recognise practitioners’ strengths and knowledge.
  • Make research relevant to real people in communities. This means proper discussions and dialogue at design, research and analysis stages, disseminated drafts and discussing findings locally on publication.
  • Set up reflection spaces in universities where NGO practitioners can go to take time out and be supported to reflect on and write up their experiences, network with others, and gain new insights on their work.
  • Catalyse more exchange of personnel in both directions. Universities could replicate my own Professor in Practice position at the London School of Economics and Political Science, while INGOs could appoint honorary fellows, who could help guide their thinking in return for access to their work….(More)”.

How Libraries Became Public


Barbara Fister at Inside HigherEd: “Of all of our cultural institutions, the public library is remarkable. There are few tax-supported services that are used by people of all ages, classes, races, and religions. I can’t think of any public institutions (except perhaps parks) that are as well-loved and widely used as libraries. Nobody has suggested that tax dollars be used for vouchers to support the development of private libraries or that we shouldn’t trust those “government” libraries. Even though the recession following the 2008 crash has led to reduced staff and hours in American libraries, threats of closure are generally met with vigorous community resistance. Visits and check-outs are up significantly over the past ten years, though it has decreased a bit in recent years. Reduced funding seems to be a factor, though the high point was 2009; library use parallels unemployment figures – low unemployment often means fewer people use public libraries. A for-profit company that claims to run libraries more cheaply than local governments currently has contracts to manage only sixteen of over 9,000 public library systems in the U.S. Few public institutions have been so impervious to privatization.

I find it intriguing that the American public library grew out of an era that has many similarities to this one – the last quarter of the 19th century, when large corporations owned by the super-rich had gained the power to shape society and fundamentally change the lives of ordinary people. It was also a time of new communication technologies, novel industrial processes, and data-driven management methods that treated workers as interchangeable cogs in a Tayloristic, efficient machine. Stuff got cheaper and more abundant, but wages fell and employment was precarious, with mass layoffs common. The financial sector was behaving badly, too, leading to cyclical panics and depressions. The gap between rich and poor grew, with unprecedented levels of wealth concentrated among a tiny percentage of the population. It all sounds strangely familiar.

The changes weren’t all economic. A wave of immigration, largely from southern and eastern Europe and from the Far East before the Chinese Exclusion Act of 1882, changed national demographics. Teddy Roosevelt warned of “race suicide,” urging white protestant women to reproduce at the same rate as other groups to make America Anglo-Saxon again. The hard-won rights of emancipated African Americans were systematically rolled back through voter suppression, widespread acts of terror, and the enactment of Jim Crow laws. Indigenous people faced broken treaties, seized land, military suppression, and forced assimilation.

How interesting that it was during this turbulent time of change when the grand idea of the American public library – a publicly-supported cultural institution that would be open to all members of the community for their enjoyment and education – emerged….(More)”.

How maps and machine learning are helping to eliminate malaria


Allie Lieber at The Keyword: “Today is World Malaria Day, a moment dedicated to raising awareness and improving access to tools to prevent malaria. The World Health Organization says nearly half of the world’s population is at risk for malaria, and estimates that in 2015 there were 212 million malaria cases resulting in 429,000 deaths. In places with high transmission rates, children under five account for 70 percent of malaria deaths.

DiSARM (Disease Surveillance and Risk Monitoring), a project led by the Malaria Elimination Initiative and supported by the Bill and Melinda Gates Foundationand Clinton Health Access Initiative, is fighting the spread of malaria by mapping the places where malaria could occur. With the help of Google Earth Engine, DiSARM creates high resolution “risk maps” that help malaria control programs identify the areas where they should direct resources for prevention and treatment.

We sat down with Hugh Sturrock, who leads the DiSARM project and is an Assistant Professor of Epidemiology and Biostatistics in the University of California, San Francisco’s Global Health Group, to learn more about DiSARM’s fight against malaria, and how Google fits in….

How does DiSARM use Google Earth Engine to help fight malaria?

If we map where malaria is most likely to occur, we can target those areas for action. Every time someone is diagnosed with malaria in Swaziland and Zimbabwe, a team goes to the village where the infection occurred and collects a GPS point with the precise infection location. Just looking at these points won’t allow you to accurately determine the risk of malaria, though. You also need satellite imagery of conditions like rainfall, temperature, slope and elevation, which affect mosquito breeding and parasite development.

To determine the risk of malaria, DiSARM combines the precise location of the malaria infection,  with satellite data of conditions like rainfall, temperature, vegetation, elevation, which affect mosquito breeding. DiSARM’s mobile app can be used by the malaria programs and field teams to target interventions.

Google Earth Engine collects and organizes the public satellite imagery data we need. In the past we had to obtain those images from a range of sources: NASA, USGS and different universities around the world. But with Google Earth Engine, it’s all in one place and can be processed using Google computers. We combine satellite imagery data from Google Earth Engine with the locations of malaria cases collected by a country’s national malaria control program, and create models that let us generate maps identifying areas at greatest risk.

The DiSARM interface gives malaria programs a near real-time view of malaria and predicts risk at specific locations, such as health facility service areas, villages and schools. Overlaying data allows malaria control programs to identify high-risk areas that have insufficient levels of protection and better distribute their interventions….(More)”

New cycling system helps riders beat red lights


Springwise: “There are few things more frustrating for cyclists than red lights, especially when riders have built up a good speed only to have to apply the brakes and lose all that momentum. To make things easier Dutch operation Springlab has designed a new system called Flo, which is being tested out in the city of Utrecht and has been set up to work alongside the city’s cycling lanes.

It works by using speed cameras placed 100 metres before each set of traffic lights, and calculates whether or not the cyclist should change speed to hit the green light. It uses animals to inform a cyclist if they should change speed, so a rabbit means speed up, a turtle means slow down, a cow means users are hitting the red light no matter what, and a simple thumbs up indicates the cyclist is doing the right speed.

It’s currently being tested out on Utrecht’s main road Amsterdamsestraatweg and all being well it’s hoped it’ll expand across the rest of the city and hopefully across Holland. Although it’s possible a nation so well known for its love of cycling will embrace such a system, whether or not it’ll go global is another matter. Another recent Dutch-based innovation ByCycling illustrates just how big cycling is in Holland, and in Poland a solar-powered glow in the dark bike lane is a genuinely impressive safety development….(More)”

Design thinking and health communication: learning from failure


Priyanka Dutt at BBC Media Action: “Anyone working in international development will attest that human-centred design (HCD) has been a ‘trending topic’ in recent years. Design thinking has been applied to a range of challenges, from supporting democratic transition in Libya to building an all-terrain wheelchair for under $200. Melinda Gates even hailed HCD as the innovation changing the most lives in the developing world.

But what exactly is design thinking? It involves bringing together multi-disciplinary teams – think creative writers working alongside ICT specialists – to address challenges through rapid prototyping and repeated testing. At the core of HCD is building empathy with the people you’re designing for with the overarching aim of producing something genuinely valuable to them.

Marrying these principles with our own core value of putting audiences at the heart of everything we do, we decided to set up a ‘laboratory’ in Bihar, in northern India, which aimed to improve child and maternal health through communication. We saw Bihar as a great site for HCD-style innovation because it offered us the scope to test and fine tune new ways of using communication to promote healthy behaviours for women and children alike.

Bihar is home to 29 million women of reproductive age, who give birth 3 million times every year. And although Bihar’s maternal mortality rate has declined in recent years to 93 per 100,000 live births, it is still well above the Sustainable Development Goals target of 70. As for the communication challenges, less than a fifth of these women watch TV and only 12% listen to the radio.

Yet the lab’s early creations achieved a great deal. Over 50,000 people have graduated from our Mobile Academy training course, which is delivered through mobile phone audio messages. The course teaches health workers how to communicate more effectively to persuade families to lead healthier lives.

We also produced a set of cards and audio messages delivered via mobile phone – called Mobile Kunji – for health workers to use during their visits with families. The evidence shows that families subsequently asked health workers more questions and were more likely to follow advice on preparing for birth, family planning and how to feed babies.

Rethinking strategy: learning from failure

High on our early successes, we set about developing Kilkari (a baby’s gurgle in Hindi). This programme sends weekly audio messages about pregnancy, child birth, and child care, directly to families’ mobile phones, from the second trimester of pregnancy until the child is one year old. The aim was that Kilkari would be listened to across Bihar, by the most vulnerable families, with the greatest need and least access to information and services.

Drawing on lessons from two similar services from around the world, Mobile Midwife and BabyCenter, in addition to our own prior experience in Bihar, we were confident Kilkari would be a success. Just to be certain, we ran some tests before rollout and found that we had failed in our vision – and spectacularly so. We weren’t getting through to our main audience, women, as we weren’t using the right channels and language.

In the end, we went back to the drawing board on Kilkari four times, simplifying and stripping down the content time and again, until we got it right. Through repeated prototype-test-redesign cycles, we made the vitally important discovery that our basic assumptions about our audiences were wrong. So we went back to basics and asked ourselves the following questions to push us to rethink our strategy:

1. Is the content relevant and easy to understand?

2. Are we getting through to our target audience?

3. Can we do more to keep our target audience engaged?…(More)”

The U.S. Federal AI Personal Assistant Pilot


/AI-Assistant-Pilot: “Welcome to GSA’s Emerging Citizen Technology program’s pilot for the effective, efficient and accountable introduction and benchmark of public service information integration into consumer-available AI Personal Assistants (IPAs) including Amazon Alexa, Google Assistant, Microsoft Cortana, and Facebook Messenger’s chatbot service — and in the process lay a strong foundation for opening our programs to self-service programs in the home, mobile devices, automobiles and further.

This pilot will require rapid development and will result in public service concepts reviewed by the platforms of your choosing, as well as the creation of a new field of shared resources and recommendations that any organization can use to deliver our program data into these emerging services.

Principles

The demand for more automated, self-service access to United States public services, when and where citizens need them, grows each day—and so do advances in the consumer technologies like Intelligent Personal Assistants designed to meet those challenges.

The U.S. General Services Administration’s (GSA) Emerging Citizen Technology program, part of the Technology Transformation Service’s Innovation Portfolio, launched an open-sourced pilot to guide dozens of federal programs make public service information available to consumer Intelligent Personal Assistants (IPAs) for the home and office, such as Amazon Alexa, Microsoft Cortana, Google Assistant, and Facebook Messenger.

These same services that help power our homes today will empower the self-driving cars of tomorrow, fuel the Internet of Things, and more. As such, the Emerging Citizen Technology program is working with federal agencies to prepare a solid understanding of the business cases and impact of these advances.

From privacy, security, accessibility, and performance to how citizens can benefit from more efficient and open access to federal services, the program is working with federal agencies to consider all aspects of its implementation. Additionally, by sharing openly with private-sector innovators, small businesses, and new entries into the field, the tech industry will gain increased transparency into working with the federal government….(More)”.

Too Much of a Good Thing? Frequent Flyers and the Implications for the Coproduction of Public Service Delivery


Paper by Benjamin Y. Clark and Jeffrey L. Brudney: “The attention on coproduction and specifically technology-enabled coproduction has grown substantially. This attention had provided findings that highlight the benefits for citizens and governments. Previous research on technologically-enabled coproduction (Internet, smartphones, and centralized non-emergency municipal call centers), show that these technologies have brought coproduction within reach of citizens (Meijer 2011; Kim and Lee 2012; Norris and Reddick 2013; Clark, Brudney, and Jang 2013; Linders 2012; Clark et al. 2016; Clark and Shurik 2016) and have the potential to improve perceptions of government performance (Clark and Shurik 2016). The advent of technologically-enabled coproduction has also made it possible for some residents to participate at levels not previously possible. These high volume coproducers, now known as “frequent flyers,” have the potential to become pseudo-bureaucrats. This chapter seeks to understand if we need to be concerned about this development. Additionally, we seek to understand what individual & neighborhood characteristics affect the intensity of coproduction of public services and if there are diffusion effects of frequent flyers.

To address these questions, we use surveys of San Francisco, California, residents conducted in 2011, 2013, and 2015. Our results suggest that the frequent flyers are largely representative of their communities. Our study finds some evidence that racial and ethnic minorities might be more likely to be a part of this group than the white majority. And perhaps most interestingly we find that neighbors appear to be learning from one another — the more frequent flyers that live in a neighborhood, the more likely it is that you are going to be a frequent flyer….(More)”

Need an improved solution to a development challenge? Consider collaborative design


Michelle Marshall  at the Inter-American Development Bank: “The challenges faced in the development and public policy arenas are often complex in nature. Devising relevant, practical, and innovative solutions requires intensive research, analysis and expertise from multiple sectors. Could there be a way to streamline this process and also make it more inclusive? 

Collaborative Design, like other open innovation methodologies, leverages the power of a group for collective problem-solving. In particular, it is a process that virtually convenes a diverse group of specialists to support the iterative development of an intervention.

Last year, the Inter-American Development Bank and the New York University’s Governance Lab hosted an initiative called “Smarter Crowdsourcing for Zika“, which brought together health specialists with experts in social media, predictive analytics, and water and sanitation during a series of online sessions to generate innovative responses to the Zika epidemic. Based on this experience, we have considered how to continue applying a similar collaboration-based approach to additional projects in different areas. The result is what we call a “Collaborative Design” approach.

Implementing a Collaborative Design approach along the course of a project can help to achieve the following:

1. Convert knowledge gaps into opportunities…
2. Expand your community of practice across sectors…
3. Identify innovative and practical solutions…

As promising ideas are identified, Collaborative Design requires documenting possible solutions within the framework of an implementation plan, protocol, or other actionable guideline to support their subsequent real-life application. This will help substantiate the most viable interventions that were previously unmapped and also prepare additional practical resources for other project teams in the future.

For instance, the results of the Zika Smarter Crowdsourcing initiative were structured with information related to the costs and timelines to facilitate their implementation in different local contexts….(More)”

Big Data for Achievement of the 2030 Agenda: Data Privacy, Ethics and Protection


UNDG Guidance Note: “This document sets out general guidance on data privacy, data protection and data ethics for the United Nations Development Group (UNDG) concerning the use of big data, collected in real time by private sector entities as part of their business offerings1 , and shared with UNDG members for the purposes of strengthening operational implementation of their programmes to support the achievement of the 2030 Agenda.

The Guidance Note is designed to:

• Establish common principles across UNDG to support the operational use of big data for achievement of the Sustainable Development Goals (SDGs);

• Serve as a risk-management tool taking into account fundamental human rights; and

• Set principles for obtaining, retention, use and quality control for data from the private sector. The data revolution was recognized as an enabler of the Sustainable Development Goals, not only to monitor progress but also to inclusively engage stakeholders at all levels to advance evidence-based policies and programmes and to reach the most vulnerable.

The 2030 Agenda asserts that “Quality, accessible, timely and reliable disaggregates data will be needed to help with the measurement of progress (SGDs) and to ensure that no one is left behind. Such data is key to decision making.” At the same time, there are legitimate concerns regarding risks associated with handling and processing of big data, particularly in light of the current fragmented regulatory landscape and in the absence of a common set of principles on data privacy, ethics and protection. These concerns continue to complicate efforts to develop standardized and scalable approaches to risk management and data access. A coordinated approach is required to ensure the emergence of frameworks for safe and responsible use of big data for the achievement of the 2030 Agenda.

The guidance described in this document acknowledges and is based on the UN Guidelines for the Regulation of Computerized Personal Data Files, adopted by the UN General Assembly resolution 45/95, and takes into account both existing international instruments and relevant regulations, rules and policies of UNDG member organizations concerning data privacy and data protection. This Guidance Note is based on standards that have withstood the test of time, reflecting the strength of their core values….(More)”.

The SAGE Handbook of Resistance


Handbook edited by David Courpasson and Steven Vallas: “Occupy. Indignados. The Tea Party. The Arab Spring. Anonymous. These and other terms have become part of an emerging lexicon in recent years, signalling an important development that has gripped many parts of the world: millions of people are increasingly involved, whether directly or indirectly, in movements of resistance and protestation.

However, resistance and its conceptual “companions”, protest, contestation, opposition, disobedience and mobilization, all seem to be still mostly seen in public and private discourses as illegitimate and problematic forms of action. The time is, therefore, ripe to delve into the concerns, themes and legitimacy.

The SAGE Handbook of Resistance offers theoretical essays enabling readers to forge their own perspectives of what “is” resistance and emphasizes the empirical and experiential dimension of resistance – making strong choices in terms of how contemporary topics related to resistance help to rethink our societies as “protest societies”…(More)”.