E-Regulation and the Rule of Law: Smart Government, Institutional Information Infrastructures, and Fundamental Values


Rónán Kennedy in Information Polity: “Information and communications technology (ICT) is increasingly used in bureaucratic and regulatory processes. With the development of the ‘Internet of Things’, some researchers speak enthusiastically of the birth of the ‘Smart State’. However, there are few theoretical or critical perspectives on the role of ICT in these routine decision-making processes and the mundane work of government regulation of economic and social activity. This paper therefore makes an important contribution by putting forward a theoretical perspective on smartness in government and developing a values-based framework for the use of ICT as a tool in the internal machinery of government.

It critically reviews the protection of the rule of law in digitized government. As an addition to work on e-government, a new field of study, ‘e-regulation’ is proposed, defined, and critiqued, with particular attention to the difficulties raised by the use of models and simulation. The increasing development of e-regulation could compromise fundamental values by embedding biases, software errors, and mistaken assumptions deeply into government procedures. The article therefore discusses the connections between the ‘Internet of Things’, the development of ‘Ambient Law’, and how the use of ICT in e-regulation can be a support for or an impediment to the operation of the rule of law. It concludes that e-government research should give more attention to the processes of regulation, and that law should be a more central discipline for those engaged in this activity….(More)

Big data privacy: the datafication of personal information


Jens-Erik Mai in The Information Society: “In the age of big data we need to think differently about privacy. We need to shift our thinking from definitions of privacy (characteristics of privacy) to models of privacy (how privacy works). Moreover, in addition to the existing models of privacy—surveillance model and capture model, we need to also consider a new model —the datafication model presented in this paper, wherein new personal information is deduced by employing predictive analytics on already-gathered data. These three models of privacy supplement each other; they are not competing understandings of privacy. This broadened approach will take our thinking beyond current preoccupation with whether or not individuals’ consent was secured for data collection to privacy issues arising from the development of new information on individuals’ likely behavior through analysis of already collected data – this new information can violate privacy but does not call for consent….(More)”

The Secret in the Information Society


Paper by Dennis Broeders in Philosophy & Technology: “Who can still keep a secret in a world in which everyone and everything are connected by technology aimed at charting and cross-referencing people, objects, movements, behaviour, relationships, tastes and preferences? The possibilities to keep a secret have come under severe pressure in the information age. That goes for the individual as well as the state. This development merits attention as secrecy is foundational for individual freedom as well as essential to the functioning of the state. Building on Simmel’s work on secrecy, this paper argues that the individual’s secrets should be saved from the ever-expanding digital transparency. The legitimate function of state secrecy in turn needs rescuing from a culture of secrecy and over-classification that has exploded in recent years. Contrary to popular expectation, the digital revolution adds another layer of secrecy that is increasingly hidden behind the facade of the ‘big usable systems’ we work and play with every day. Our dependence on information systems and their black-boxed algorithmic analytical core leads to a certain degree of Weberian (re) enchantment that may increase the disconnect between the system, user and object….(More)”

The era of development mutants


Guilo Quaggiotto at Nesta: “If you were looking for the cutting edge of the development sector, where would you go these days? You would probably look at startups like Premise who have predicted food trends 25 days faster than national statistics in Brazil, or GiveDirectly who are pushing the boundaries on evidence – from RCTs to new ways of mapping poverty – to fast track the adoption of cash transfers.

Or perhaps you might draw your attention to PetaJakarta who are experimenting with new responses to crises by harnessing human sensor networks. You might be tempted to consider Airbnb’s Disaster Response programme as an indicator of an emerging alternative infrastructure for disaster response (and perhaps raising questions about the political economy of this all).

And could Bitnation’s Refugee Emergency programme in response to the European refugee crisis be the possible precursor of future solutions for transnational issues – among the development sector’s hardest challenges? Are the business models of One Acre Fund, which provides services for smallholder farmers, or Floodtags, which analyses citizen data during floods for water and disaster managers, an indicator of future pathways to scale – that elusive development unicorn?

If you want to look at the future of procuring solutions for the development sector, should you be looking at initiatives like Citymart, which works with municipalities across the world to rethink traditional procurement and unleash the expertise and innovation capabilities of their citizens? By the same token, projects like Pathogen Box, Poverty Stoplight or Patient Innovation point to a brave new world where lead-user innovation and harnessing ‘sticky’ local knowledge becomes the norm, rather than the exception. You would also be forgiven for thinking that social movements across the world are the place to look for signs of future mechanisms for harnessing collective intelligence – Kawal Pamilu’s “citizen experts” self-organising around the Indonesian elections in 2014 is a textbook case study in this department.

The list could go on and on: welcome to the era of development mutants. While established players in the development sector are engrossed in soul-searching and their fitness for purpose is being scrutinised from all quarters, a whole new set of players is emerging, unfettered by legacy and borrowing from a variety of different disciplines. They point to a potentially different future – indeed, many potentially different futures – for the sector…..

But what if we wanted to invert this paradigm? How could we move from denial to fruitful collaboration with the ‘edgeryders’ of the development sector and accelerate its transformation?

Adopting new programming principles

Based on our experience working with development organisations, we believe that partnering with the mutants involves two types of shifts for traditional players: at the programmatic and the operational level. At the programmatic level, our work on the ground led us to articulate the following emerging principles:

  1. Mapping what people have, not what they need: even though approaches like jugaad and positive deviance have been around for a long time, unfortunately the default starting point for many development projects is still mapping needs, not assets. Inverting this paradigm allows for potentially disruptive project design and partnerships to emerge. (Signs of the future: Patient Innovation, Edgeryders, Community Mirror, Premise)

  2. Getting ready for multiple futures: When distributed across an organisation and not limited to a centralised function, the discipline of scanning the horizon for emergent solutions that contradict the dominant paradigm can help move beyond the denial phase and develop new interfaces to collaborate with the mutants. Here the link between analysis (to understand not only what is probable, but also what is possible) and action is critical – otherwise this remains purely an academic exercise. (Signs of the future: OpenCare, Improstuctures, Seeds of Good Anthropocene, Museum of the Future)

  3. Running multiple parallel experiments: According to Dave Snowden, in order to intervene in a complex system “you need multiple parallel experiments and they should be based on different and competing theories/hypotheses”. Unfortunately, many development projects are still based on linear narratives and assumptions such as “if only we run an awareness raising campaign citizens will change their behaviour”. Turning linear narratives into hypotheses to be tested (without becoming religious on a specific approach) opens up the possibility to explore the solution landscape and collaborate with non-obvious partners that bring new approaches to the table. (Signs of the future: Chukua Hakua, GiveDirectly, Finnish PM’s Office of Experiments, Ideas42, Cognitive Edge)

  4. Embracing obliquity: A deep, granular understanding of local assets and dynamics along with system mapping (see point 5 below) and pairing behavioural experts with development practitioners can help identify entry points for exploring new types of intervention based on obliquity principles. Mutants are often faster in adopting this approach and partnering with them is a way to bypass organisational inertia and explore nonlinear interventions. (Signs of the future: Sardex, social prescriptions, forensic architecture)

  5. From projects to systems: development organisations genuinely interested in developing new partnerships need to make the shift from the project logic to system investments. This involves, among other things, shifting the focus from providing solutions to helping every actor in the system to develop a higher level of consciousness about the issues they are facing and to take better decisions over time. It also entails partnering with mutants to explore entirely new financial mechanisms. (Signs of the future: Lankelly Chase, Indonesia waste banks, Dark Matter Labs)

Adopting new interfaces for working with the mutants

Harvard Business School professor Carliss Baldwin argued that most bureaucracies these days have a ‘non-contractible’ problem: they don’t know where smart people are, or how to evaluate how good they are. Most importantly, most smart people don’t want to work for them because they find them either too callous, unrewarding or slow (or a combination of all of these)….(More)”

The Hand-Book of the Modern Development Specialist


Responsible Data Forum: “The engine room is excited to release new adaptations of the responsible development data book that we now fondly refer to as, “The Hand-Book of the Modern Development Specialist: Being a Complete Illustrated Guide to Responsible Data Usage, Manners & General Deportment.”

You can now view this resource on its new webpage, where you can read chapter summaries for quickresources, utilize slide decks complete with presenter notes, and read the original resource with a newdesign make-over….

Freshly Released Adaptations

The following adaptations can be found on our Hand-book webpage.

  • Chapter summaries: Chapter summaries enable readers to get a taste of section content, allow them to know if the particular section is of relative use, provides a simple overview if they aren’t comfortable diving right into the book, or gives a memory jog for those who are already familiar withthe content.
  • Slide deck templates: The slide decks enable in-depth presentation based on the structure of the book by using its diagrams. This will help responsible data advocates customize slides for their own organization’s needs. These decks are complete with thorough notes to aide a presenter that may not be an expert on the contents.
  • New & improved book format: Who doesn’t love a makeover? The original resource is still available to download as a printable file for those that prefer book formatting, and now the document sports improved visuals and graphics….(More)”

The Alberta CoLab Story: Redesigning the policy development process in government


Alex Ryan at Medium: “Alberta CoLab is an evolving experiment built on three counter-intuitive ideas:

1. Culture shifts faster through collaborative project work than through a culture change initiative.

2. The way to accelerate policy development is to engage more perspectives and more complexity.

3. The best place to put a cross-ministry design team is in a line ministry.

I want to explain what CoLab is and why it has evolved the way it has. We don’t view CoLab as a best practice to be replicated, since our model is tailored to the specific culture and context of Alberta. Perhaps you are also trying to catalyze innovation inside a large bureaucratic organization. I hope you can learn something from our journey so far,….

….Both the successes and frustrations of Alberta CoLab are consequences of the way that we have mediated some key tensions and tradeoffs involved with setting up a public sector innovation lab. Practitioners in other labs will likely recognize these tensions and tradeoffs, although your successes and frustrations will be different depending on how your business model reconciles them.

  1. Where should the lab be? Public innovation labs can exist inside, outside, or on the edge of government. Dubai The Model Centre and Alberta CoLab operate inside government. Inside labs have the best access to senior decision makers and the authority to convene whole of government collaborations, but may find it harder to engage openly with citizens and stakeholders. Unicef Innovation Labs and NouLab exist outside of government. Outside labs have more freedom in who they convene, the kind of container they can create, and timelines to impact, but find it harder to connect with and affect policy change. MindLab and MaRS Solutions Lab are examples of labs on the edge of government. This positioning can offer the best of both worlds. However, edge labs are vulnerable to fluctuations in their relationship with government. Surviving and thriving on the edge means continually walking a tightrope between autonomy and integration. Labs can change their positioning. Alberta CoLab began as an external consulting project. The Behavioural Insights Team is a social purpose company that was spun-off from a lab inside the U.K. government. The location of the lab is unlikely to change often, so it is an important strategic choice.
  2. How deep should the lab go? Here the tension is between taking on small, tactical improvement projects that deliver tangible results, or tackling the big, strategic systems changes that will take years to manifest. Public sector innovation labs are a reaction to the almost total failure of traditional approaches to move the needle on systems change.Therefore, most labs have aspirations to the strategic and the systemic. Yet most labs are also operating in a dominant culture that demands quick wins and measures success by linear progress against a simple logic model theory of change. We believe that operating at either extreme of this spectrum is equally misguided. We use a portfolio approach and a barbell strategy to mediate this tension. Having a portfolio of projects allows us to invest energy in systems change and generate immediate value. It allows us to balance our projects across three horizons of innovation: sustaining innovations; disruptive innovations; and transformative innovations. A barbell strategy means avoiding the middle of the bell curve. We maintain a small number of long-term, flagship initiatives, combined with a rapid turnover of quick-win projects. This allows us to remind the organization of our immediate value without sacrificing long-term commitment to systems change.
  3. What relationship should the lab have with government? Even an inside lab must create some distance between itself and the broader government culture if it is to provide a safe space for innovation. There is a tension between being separate and being integrated. Developing novel ideas that get implemented requires the lab to be both separate and integrated at the same time. You need to decouple from regular policy cycles to enable divergence and creativity, yet provide input into key decisions at the right time. Sometimes these decision points are known in advance, but more often this means sensing and responding to a dynamic decision landscape. Underneath any effective lab is a powerful social network, which needs to cut across government silos and stratas and draw in external perspectives. I think of a lab as having a kind of respiratory rhythm. It starts by bringing fresh ideas into the organization, like a deep breath that provides the oxygen for new thinking. But new ideas are rarely welcome in old organizations. When the lab communicates outwards, these new ideas should be translated into familiar language and concepts, and then given a subtle twist. Often labs believe they have to differentiate their innovations — to emphasize novelty — to justify their existence as an innovation lab. But the more the output of the lab resembles the institutional culture, the more it appears obvious and familiar, the more likely it will be accepted and integrated into the mainstream.
  4. What relationship should the lab have with clients? Alberta CoLab is a kind of in-house consultancy that provides services to clients across all ministries. There is a tension in the nature of the relationship, which can span from consulting problem-solver to co-design facilitator to teacher. The main problem with a consulting model is it often builds dependency rather than capacity. The challenge with an educational relationship is that clients struggle to apply theory that is disconnected from practice. We often use facilitation as a ‘cover’ for our practice, because it allows us to design a process that enables both reflective practice and situated learning. By teaching systemic design and strategic foresight approaches through taking on live projects, we build capacity while doing the work our clients need to do anyway. This helps to break down barriers between theory and practice, learning and doing. Another tension is between doing what the client says she wants and what she needs but does not articulate. Unlike a customer, who is always right, the designer has a duty of care to their client. This involves pushing back when the client demands are unreasonable, reframing the challenge when the problem received is a symptom of a deeper issue, and clearly communicating the risks and potential side effects of policy options. As Denys Lasdun has said about designers: “Our job is to give the client, on time and on cost, not what he wants, but what he never dreamed he wanted; and when he gets it, he recognizes it as something he wanted all the time.”

Lessons Learned

These are our top lessons learned from our journey to date that may have broader applicability.

  1. Recruit outsiders and insiders. Bringing in outside experts elevates the lab’s status. Outsiders are essential to question and challenge organizational patterns that insiders take as given. Insiders bring an understanding of organizational culture. They know how to move files through the bureaucracy and they know where the landmines are.
  2. Show don’t tell. As lab practitioners, we tend to be process geeks with a strong belief in the superiority of our own methods. There is a temptation to cast oneself in the role of the missionary bringing the good word to the unwashed masses. Not only is this arrogant, it’s counter-productive. It’s much more effective to show your clients how your approach adds value by starting with a small collaborative project. If your approach really is as good as you believe it is, the results will speak for themselves. Once people are envious of the results you have achieved, they will be curious and open to learning how you did it, and they will demand more of it.
  3. Be a catalyst, not a bottleneck. Jess McMullin gave us this advice when we founded CoLab. It’s why we developed a six day training course to train over 80 systemic designers across the government. It’s why we run communities of practice on systemic design and strategic foresight. And it’s why we publish about our experiences and share the toolkits we develop. If the innovation lab is an ivory tower, it will not change the way government works. Think instead of the lab as the headquarters of a democratic grassroots movement.
  4. Select projects based on the potential for reframing. There are many criteria we apply when we decide whether to take on a new project. Is it a strategic priority? Is there commitment to implement? Are the client expectations realistic? Can our contribution have a positive impact? These are useful but apply to almost any service offering. The unique value a social innovation lab offers is discontinuous improvement. The source of discontinuous improvement is reframing — seeing a familiar challenge with new eyes, from a different perspective that opens up new potential for positive change. If a project ticks all the boxes, except that the client is certain they already know what the problem is, then that already limits the kind of solutions they will consider. Unless they are open to reframing, they will likely be frustrated by a lab approach, and would be better served by traditional facilitation or good project management.
  5. Prototyping is just the end of the beginning. After one year, we went around and interviewed the first 40 clients of Alberta CoLab. We wanted to know what they had achieved since our co-design sessions. Unfortunately, for most of them, the answer was “not much.” They were very happy with the quality of the ideas and prototypes generated while working with CoLab and were hopeful that the ideas would eventually see the light of day. But they also noted that once participants left the lab and went back to their desks, they found it difficult to sustain the momentum and excitement of the lab, and easy to snap back to business as usual. We had to pivot our strategy to take on fewer projects, but take on a greater stewardship role through to implementation.
  6. Find a rhythm. It’s not useful to create a traditional project plan with phases and milestones for a non-linear and open-ended discovery process like a lab. Yet without some kind of structure, it’s easy to lose momentum or become lost. The best projects I have participated in create a rhythm: an alternating movement between open collaboration and focused delivery. The lab opens up every few months to engage widely on what needs to be done and why. A core team then works between collaborative workshops on how to make it happen. Each cycle allows the group to frame key challenges, make progress, and receive feedback, which builds momentum and commitment.
  7. Be a good gardener. Most of the participants of our workshops arrive with a full plate. They are already 100% committed in their day jobs. Even when they are enthusiastic to ideate, they will be reluctant to take on any additional work. If we want our organizations to innovate, first we have to create the space for new work. We need to prune those projects that we have kept on life support — not yet declared dead but not priorities. This often means making difficult decisions. The flip side of pruning is to actively search for positive deviance and help it to grow. When you find something that’s already working, you just need to turn up the good…..(More)”

Big Data in the Public Sector


Chapter by Ricard Munné in New Horizons for a Data-Driven Economy: “The public sector is becoming increasingly aware of the potential value to be gained from big data, as governments generate and collect vast quantities of data through their everyday activities.

The benefits of big data in the public sector can be grouped into three major areas, based on a classification of the types of benefits: advanced analytics, through automated algorithms; improvements in effectiveness, providing greater internal transparency; improvements in efficiency, where better services can be provided based on the personalization of services; and learning from the performance of such services.

The chapter examined several drivers and constraints that have been identified, which can boost or stop the development of big data in the sector depending on how they are addressed. The findings, after analysing the requirements and the technologies currently available, show that there are open research questions to be addressed in order to develop such technologies so competitive and effective solutions can be built. The main developments are required in the fields of scalability of data analysis, pattern discovery, and real-time applications. Also required are improvements in provenance for the sharing and integration of data from the public sector. It is also extremely important to provide integrated security and privacy mechanisms in big data applications, as public sector collects vast amounts of sensitive data. Finally, respecting the privacy of citizens is a mandatory obligation in the European Union….(More)”

Data collection is the ultimate public good


Lawrence H. Summers in the Washington Post: “I spoke at a World Bank conference on price statistics. … I am convinced that data is the ultimate public good and that we will soon have much more data than we do today. I made four primary observations.

First, scientific progress is driven more by new tools and new observations than by hypothesis construction and testing. I cited a number of examples: the observation that Jupiter was orbited by several moons clinched the case against the Ptolemaic system, the belief that all celestial objects circle around the Earth. We learned of cells by seeing them when the microscope was constructed. Accelerators made the basic structure of atoms obvious.

Second, if mathematics is the queen of the hard sciences then statistics is the queen of the social sciences. I gave examples of the power of very simple data analysis. We first learned that exercise is good for health from the observation that, in the 1940s, London bus conductors had much lower death rates than bus drivers. Similarly, data demonstrated that smoking was a major killer decades before the biological processes were understood. At a more trivial level, “Moneyball” shows how data-based statistics can revolutionize a major sport.

Third, I urged that what “you count counts” and argued that we needed much more timely and complete data. I noted the centrality of timely statistics to meaningful progress toward Sustainable Development Goals. In comparison to the nearly six-year lag in poverty statistics, it took the United States only about 3½ years to win World War II.

Fourth, I envisioned what might be possible in a world where there will soon be as many smartphones as adults. With the ubiquitous ability to collect data and nearly unlimited ability to process it will come more capacity to discover previously unknown relationships. We will improve our ability to predict disasters like famines, storms and revolutions. Communication technologies will allow us to better hold policymakers to account with reliable and rapid performance measures. And if history is any guide, we will gain capacities on dimensions we cannot now imagine but will come to regard as indispensable.

This is the work of both governments and the private sector. It is fantasy to suppose data, as the ultimate public good, will come into being without government effort. Equally, we will sell ourselves short if we stick with traditional collection methods and ignore innovative providers and methods such as the use of smartphones, drones, satellites and supercomputers. That is why something like the Billion Prices Project at MIT, which can provide daily price information, is so important. That is why I am excited to be a director and involved with Premise — a data company that analyzes information people collect on their smartphones about everyday life, like the price of local foods — in its capacity to mobilize these technologies as widely as possible. That is why Planet Labs, with its capacity to scan and monitor environmental conditions, represents such a profound innovation….(More)

Technology for Transparency: Cases from Sub-Saharan Africa


 at Havard Political Review: “Over the last decade, Africa has experienced previously unseen levels of economic growth and market vibrancy. Developing countries can only achieve equitable growth and reduce poverty rates, however, if they are able to make the most of their available resources. To do this, they must maximize the impact of aid from donor governments and NGOs and ensure that domestic markets continue to diversify, add jobs, and generate tax revenues. Yet, in most developing countries, there is a dearth of information available about industry profits, government spending, and policy outcomes that prevents efficient action.

ONE, an international advocacy organization, has estimated that $68.6 billion was lost in sub-Saharan Africa in 2012 due to a lack of transparency in government budgeting….

The Importance of Technology

Increased visibility of problems exerts pressure on politicians and other public sector actors to adjust their actions. This process is known as social monitoring, and it relies on citizens or public agencies using digital tools, such as mobile phones, Facebook, and other social media sites to spot public problems. In sub-Saharan Africa, however, traditional media companies and governments have not shown consistency in reporting on transparency issues.

New technologies offer a solution to this problem. Philip Thigo, the creator of an online and SMS platform that monitors government spending, said in an interview with Technology for Transparency, “All we are trying to do is enhance the work that [governments] do. We thought that if we could create a clear channel where communities could actually access data, then the work of government would be easier.” Networked citizen media platforms that rely on the volunteer contributions of citizens have become increasingly popular. Given that in most African countries less than 10 percent of the population has Internet access, mobile-device-based programs have proven the logical solution. About 30 percent of the population continent-wide has access to cell phones.

Lova Rakotomalala, a co-founder of an NGO in Madagascar that promotes online exposure of social grassroots projects, told the HPR, “most Malagasies will have a mobile phone and an FM radio because it helps them in their daily lives.” Rakotomalala works to provide workshops and IT training to people in regions of Madagascar where Internet access has been recently introduced. According to him, “the amount of data that we can collect from social monitoring and transparency projects will only grow in the near future. There is much room for improvement.”

Kenyan Budget Tracking Tool

The Kenyan Budget Tracking Tool is a prominent example of how social media technology can help obviate traditional transparency issues. Despite increased development assistance and foreign aid, the number of Kenyans classified as poor grew from 29 percent in the 1970s to almost 60 percent in 2000. Noticing this trend, Philip Thigo created an online and SMS platform called the Kenyan Budget Tracking Tool. The platform specifically focuses on the Constituencies Development Fund, through which members of the Kenyan parliament are able to allocate resources towards various projects, such as physical infrastructure, government offices, or new schools.

This social monitoring technology has exposed real government abuses. …

Another mobile tool, Question Box, allows Ugandans to call or message operators who have access to a database full of information on health, agriculture, and education.

But tools like Medic Mobile and the Kenyan Budget Tracking Tool are only the first steps in solving the problems that plague corrupt governments and underdeveloped communities. Improved access to information is no substitute for good leadership. However, as Rakotomalala argued, it is an important stepping-stone. “While legally binding actions are the hammer to the nail, you need to put the proverbial nail in the right place first. That nail is transparency.”…(More)

Drones Marshaled to Drop Lifesaving Supplies Over Rwandan Terrain


From a bluff overlooking the Pacific Ocean, aloud pop signals the catapult launch of a small fixed-wing drone that is designed to carry medical supplies to remote locations almost 40 miles away.

The drones are the brainchild of a small group of engineers at a SiliconValley start-up called Zipline, which plans to begin operating a service with them for the government of Rwanda in July. The fleet of robot planes will initially cover more than half the tiny African nation, creating a highly automated network to shuttle blood and pharmaceuticals to remote locations in hours rather than weeks or months.

Rwanda, one of the world’s poorest nations, was ranked 170th by gross domestic product in 2014 by the International Monetary Fund. And so it is striking that the country will be the first, company executives said, to establish a commercial drone delivery network — putting it ahead of places like the United States, where there have been heavily ballyhooed futuristicdrone delivery systems promising urban and suburban package delivery from tech giants such as Amazon and Google….

That Rwanda is set to become the first country with a drone delivery network illustrates the often uneven nature of the adoption of new technology. In the United States, drones have run into a wall of regulation and conflicting rules. But in Rwanda, the country’s master development plan has placed a priority on the use of the machines, first for medicine and then more broadly for economic development….

The new drone system will initially be capable of making 50 to 150 daily deliveries of blood and emergency medicine to Rwanda’s 21 transfusing facilities, mostly in hospitals and clinics in the western half of the nation.

The drone system is based on a fleet of 15 small aircraft, each with twin electric motors, a 3.5-pound payload and an almost eight-foot wingspan.The system’s speed makes it possible to maintain a “cold chain” —essentially a temperature-controlled supply chain needed to provide blood and vaccines — which is often not practical to establish in developing countries.

The Zipline drones will use GPS receivers to navigate and communicate via the Rwandan cellular network. They will be able to fly in rough weather conditions, enduring winds up to 30 miles per hour….(More)”