Internet of Things tackles global animal poaching


Springwise: “ZSL (Zoological Society of London), one of the most famous zoos in Europe, has teamed up with non-profit technology company Digital Catapult to support the development of anti-poaching technology. The partnership will use the Internet of Things (IoT) and Low Power Wide Area Network (LPWAN) technologies to create a sensor and satellite-enabled network that will be able to help conservationists monitor wildlife and respond to poaching threats on land and sea in some of the world’s most remote national parks.

Up to 35,000 African elephants were killed by poachers in 2016, and black rhino and mountain gorilla populations continue to be at high risk. LPWAN could help prevent poaching in game reserves by enabling remote sensors to communicate with one another over long distance while using only a small amount of power. These connected sensors are able to detect activities nearby and determine whether these originate from wildlife or poachers, creating immediate alerts for those monitoring the area.

Digital Catapult has installed a LPWAN base station at the ZSL headquarters at London Zoo, which will enable prototypes to be tested on site. This technology will build on the revolutionary work already underway in areas including Kenya, Nepal, Australia, the Chagos Archipelago, and Antarctica.

The practise of poaching has been the target of many technology companies, with a similar project using artificial intelligence to monitor poachers recently coming to light. One of the many devastating impacts of poaching is the potential to cause extinction of some animals, and one startup has tackled this potential catastrophe with rhinos by producing a 3D printed horn that could help the species avoid being a target….(More)”.

Want to make your vote really count? Stick a blockchain on it


Niall Firth at New Scientist: “Bitcoin changed the way we think about money forever. Now a type of political cryptocurrency wants to do the same for votes, reinventing how we participate in democracy.

Sovereign is being unveiled this week by Democracy Earth, a not-for-profit organisation in Palo Alto, California. It combines liquid democracy – which gives individuals more flexibility in how they use their votes – with blockchains, digital ledgers of transactions that keep cryptocurrencies like bitcoin secure. Sovereign’s developers hope it could signal the beginning of a democratic system that transcends national borders.

“There’s an intrinsic incompatibility between the internet and nation states,” says Santiago Siri, one of Democracy Earth’s co-founders. “If we’re going to think about digital governance, we need to think in a borderless, global way.”

 The basic concept of liquid democracy is that voters can express their wishes on an issue directly or delegate their vote to someone else they think is better-placed to decide on their behalf. In turn, those delegates can also pass those votes upwards through the chain. Crucially, users can see how their delegate voted and reclaim their vote to use themselves.

It’s an attractive concept, but it hasn’t been without problems. One is that a seemingly unending series of votes saps the motivation of users, so fewer votes are cast over time. Additionally, a few “celebrities” can garner an unhealthy number of delegated votes and wield too much power – an issue Germany’s Pirate Party ran into when experimenting with liquid democracy.

Siri thinks Sovereign can solve both of these problems. It sits on existing blockchain software platforms, such as Ethereum, but instead of producing units of cryptocurrency, Sovereign creates a finite number of tokens called “votes”. These are assigned to registered users who can vote as part of organisations who set themselves up on the network, whether that is a political party, a municipality, a country or even a co-operatively run company.

No knowledge of blockchains is required – voters simply use an app. Votes are then “dripped” into their accounts over time like a universal basic income of votes. Users can debate with each other before deciding which way to vote. A single vote takes just a tap, while more votes can be assigned to a single issue using a slider bar….(More)”

Harnessing the Data Revolution to Achieve the Sustainable Development Goals


Erol Yayboke et al at CSIS: “Functioning societies collect accurate data and utilize the evidence to inform policy. The use of evidence derived from data in policymaking requires the capability to collect and analyze accurate data, clear administrative channels through which timely evidence is made available to decisionmakers, and the political will to rely on—and ideally share—the evidence. The collection of accurate and timely data, especially in the developing world, is often logistically difficult, not politically expedient, and/or expensive.

Before launching its second round of global goals—the Sustainable Development Goals (SDGs)—the United Nations convened a High-Level Panel of Eminent Persons on the Post-2015 Development Agenda. As part of its final report, the Panel called for a “data revolution” and recommended the formation of an independent body to lead the charge.1The report resulted in the creation of the Global Partnership for Sustainable Development Data (GPSDD)—an independent group of countries, companies, data communities, and NGOs—and the SDG Data Labs, a private initiative partnered with the GPSDD. In doing so the United Nations and its partners signaled broad interest in data and evidence-based policymaking at a high level. In fact, the GPSDD calls for the “revolution in data” by addressing the “crisis of non-existent, inaccessible or unreliable data.”As this report shows, this is easier said than done.

This report defines the data revolution as an unprecedented increase in the volume and types of data—and the subsequent demand for them—thanks to the ongoing yet uneven proliferation of new technologies. This revolution is allowing governments, companies, researchers, and citizens to monitor progress and drive action, often with real-time, dynamic, disaggregated data. Much work will be needed to make sure the data revolution reaches developing countries facing difficult challenges (i.e., before the data revolution fully becomes the data revolution for sustainable development). It is important to think of the revolution as a multistep process, beginning with building basic knowledge and awareness of the value of data. This is followed by a more specific focus on public private partnerships, opportunities, and constraints regarding collection and utilization of data for evidence-based policy decisions….

This report provides the following recommendations to the international community to play a constructive role in the data revolution:

  • Don’t fixate on big data alone. Focus on the foundation necessary to facilitate leapfrogs around all types of data: small, big, and everywhere in between.
  • Increase funding for capacity building as part of an expansion of broader educational development priorities.
  • Highlight, share, and support enlightened government-driven approaches to data.
  • Increase funding for the data revolution and coordinate donor efforts.
  • Coordinate UN data revolution-related activities closely with an expanded GPSDD.
  • Secure consensus on data sharing, ownership, and privacy-related international standards….(More)”.

Patient Power: Crowdsourcing in Cancer


Bonnie J. Addario at the HuffPost: “…Understanding how to manage and manipulate vast sums of medical data to improve research and treatments has become a top priority in the cancer enterprise. Researchers at the University of North Carolina Chapel Hill are using IBM’s Watson and its artificial intelligence computing power to great effect. Dr. Norman Sharpless told Charlie Rose from CBS’ 60 Minutes that Watson is reading tens of millions of medical papers weekly (8,000 new cancer research papers are published every day) and regularly scanning the web for new clinical trials most people, including researchers, are unaware of. The task is “essentially undoable” he said, for even the best, well-informed experts.

UNC’s effort is truly wonderful albeit a macro approach, less tailored and accessible only to certain medical centers. My experience tells me what the real problem is: How does a patient newly diagnosed with lung cancer, fragile and scared find the most relevant information without being overwhelmed and giving up? If the experts can’t easily find key data without Watson’s help, and Google’s first try turns up millions upon millions of semi-useful results, how do we build hope that there are good online answers for our patients?

We’ve thought about this a lot at the Addario Lung Cancer Foundation and figured out that the answer lies with the patients themselves. Why not crowdsource it with people who have lung cancer, their caregivers and family members?

So, we created the first-ever global Lung Cancer Patient Registry that simplifies the collection, management and distribution of critical health-related information – all in one place so that researchers and patients can easily access and find data specific to lung cancer patients.

This is a data-rich environment for those focusing solely on finding a cure for lung cancer. And it gives patients access to other patients to compare notes and generally feel safe sharing intimate details with their peers….(More)”

Civic Tech in the Global South


New book edited by Tiago Peixoto: “Civic Tech in the Global South is comprised of one study and three field evaluations of civic tech initiatives in developing countries. The study reviews evidence on the use of 23 digital platforms designed to amplify citizen voices to improve service delivery, highlighting citizen uptake and the degree of responsiveness by public service providers. The initiatives are an SMS-based polling platform run by UNICEF in Uganda, a complaints-management system run by the water sector in Kenya, and an internet-based participatory budgeting program in Brazil. Based on these experiences, the authors examine: i) the extent to which technologies have promoted inclusiveness, ii) the effect of these initiatives on public service delivery, and iii) the extent to which these effects can be attributed to technology….(More)”.

Open & Shut


Harsha Devulapalli: “Welcome to Open & Shut — a new blog dedicated to exploring the opportunities and challenges of working with open data in closed societies around the world. Although we’ll be exploring questions relevant to open data practitioners worldwide, we’re particularly interested in seeing how civil society groups and actors in the Global South are using open data to push for greater government transparency, and tackle daunting social and economic challenges facing their societies….Throughout this series we’ll be profiling and interviewing organisations working with open data worldwide, and providing do-it-yourself data tutorials that will be useful for beginners as well as data experts. …

What do we mean by the terms ‘open data’ and ‘closed societies’?

It’s important to be clear about what we’re dealing with, here. So let’s establish some key terms. When we talk about ‘open data’, we mean data that anyone can access, use and share freely. And when we say ‘closed societies’, we’re referring to states or regions in which the political and social environment is actively hostile to notions of openness and public scrutiny, and which hold principles of freedom of information in low esteem. In closed societies, data is either not published at all by the government, or else is only published in inaccessible formats, is missing data, is hard to find or else is just not digitised at all.

Iran is one such state that we would characterise as a ‘closed society’. At Small Media, we’ve had to confront the challenges of poor data practice, secrecy, and government opaqueness while undertaking work to support freedom of information and freedom of expression in the country. Based on these experiences, we’ve been working to build Iran Open Data — a civil society-led open data portal for Iran, in an effort to make Iranian government data more accessible and easier for researchers, journalists, and civil society actors to work with.

Iran Open Data — an open data portal for Iran, created by Small Media

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..Open & Shut will shine a light on the exciting new ways that different groups are using data to question dominant narratives, transform public opinion, and bring about tangible change in closed societies. At the same time, it’ll demonstrate the challenges faced by open data advocates in opening up this valuable data. We intend to get the community talking about the need to build cross-border alliances in order to empower the open data movement, and to exchange knowledge and best practices despite the different needs and circumstances we all face….(More)

The Nudging Divide in the Digital Big Data Era


Julia M. Puaschunder in the International Robotics & Automation Journal: “Since the end of the 1970ies a wide range of psychological, economic and sociological laboratory and field experiments proved human beings deviating from rational choices and standard neo-classical profit maximization axioms to fail to explain how human actually behave. Behavioral economists proposed to nudge and wink citizens to make better choices for them with many different applications. While the motivation behind nudging appears as a noble endeavor to foster peoples’ lives around the world in very many different applications, the nudging approach raises questions of social hierarchy and class division. The motivating force of the nudgital society may open a gate of exploitation of the populace and – based on privacy infringements – stripping them involuntarily from their own decision power in the shadow of legally-permitted libertarian paternalism and under the cloak of the noble goal of welfare-improving global governance. Nudging enables nudgers to plunder the simple uneducated citizen, who is neither aware of the nudging strategies nor able to oversee the tactics used by the nudgers.

The nudgers are thereby legally protected by democratically assigned positions they hold or by outsourcing strategies used, in which social media plays a crucial rule. Social media forces are captured as unfolding a class dividing nudgital society, in which the provider of social communication tools can reap surplus value from the information shared of social media users. The social media provider thereby becomes a capitalist-industrialist, who benefits from the information shared by social media users, or so-called consumer-workers, who share private information in their wish to interact with friends and communicate to public. The social media capitalist-industrialist reaps surplus value from the social media consumer-workers’ information sharing, which stems from nudging social media users. For one, social media space can be sold to marketers who can constantly penetrate the consumer-worker in a subliminal way with advertisements. But also nudging occurs as the big data compiled about the social media consumer-worker can be resold to marketers and technocrats to draw inferences about consumer choices, contemporary market trends or individual personality cues used for governance control, such as, for instance, border protection and tax compliance purposes.

The law of motion of the nudging societies holds an unequal concentration of power of those who have access to compiled data and who abuse their position under the cloak of hidden persuasion and in the shadow of paternalism. In the nudgital society, information, education and differing social classes determine who the nudgers and who the nudged are. Humans end in different silos or bubbles that differ in who has power and control and who is deceived and being ruled. The owners of the means of governance are able to reap a surplus value in a hidden persuasion, protected by the legal vacuum to curb libertarian paternalism, in the moral shadow of the unnoticeable guidance and under the cloak of the presumption that some know what is more rational than others. All these features lead to an unprecedented contemporary class struggle between the nudgers (those who nudge) and the nudged (those who are nudged), who are divided by the implicit means of governance in the digital scenery. In this light, governing our common welfare through deceptive means and outsourced governance on social media appears critical. In combination with the underlying assumption of the nudgers knowing better what is right, just and fair within society, the digital age and social media tools hold potential unprecedented ethical challenges….(More)”

Scientists Use Google Earth and Crowdsourcing to Map Uncharted Forests


Katie Fletcher, Tesfay Woldemariam and Fred Stolle at EcoWatch: “No single person could ever hope to count the world’s trees. But a crowd of them just counted the world’s drylands forests—and, in the process, charted forests never before mapped, cumulatively adding up to an area equivalent in size to the Amazon rainforest.

Current technology enables computers to automatically detect forest area through satellite data in order to adequately map most of the world’s forests. But drylands, where trees are fewer and farther apart, stymied these modern methods. To measure the extent of forests in drylands, which make up more than 40 percent of land surface on Earth, researchers from UN Food and Agriculture Organization, World Resources Institute and several universities and organizations had to come up with unconventional techniques. Foremost among these was turning to residents, who contributed their expertise through local map-a-thons….

Google Earth collects satellite data from several satellites with a variety of resolutions and technical capacities. The dryland satellite imagery collection compiled by Google from various providers, including Digital Globe, is of particularly high quality, as desert areas have little cloud cover to obstruct the views. So while difficult for algorithms to detect non-dominant land cover, the human eye has no problem distinguishing trees in the landscapes. Using this advantage, the scientists decided to visually count trees in hundreds of thousands of high-resolution images to determine overall dryland tree cover….

Armed with the quality images from Google that allowed researchers to see objects as small as half a meter (about 20 inches) across, the team divided the global dryland images into 12 regions, each with a regional partner to lead the counting assessment. The regional partners in turn recruited local residents with practical knowledge of the landscape to identify content in the sample imagery. These volunteers would come together in participatory mapping workshops, known colloquially as “map-a-thons.”…

Utilizing local landscape knowledge not only improved the map quality but also created a sense of ownership within each region. The map-a-thon participants have access to the open source tools and can now use these data and results to better engage around land use changes in their communities. Local experts, including forestry offices, can also use this easily accessible application to continue monitoring in the future.

Global Forest Watch uses medium resolution satellites (30 meters or about 89 feet) and sophisticated algorithms to detect near-real time deforestation in densely forested area. The dryland tree cover maps complement Global Forest Watch by providing the capability to monitor non-dominant tree cover and small-scale, slower-moving events like degradation and restoration. Mapping forest change at this level of detail is critical both for guiding land decisions and enabling government and business actors to demonstrate their pledges are being fulfilled, even over short periods of time.

The data documented by local participants will enable scientists to do many more analyses on both natural and man-made land changes including settlements, erosion features and roads. Mapping the tree cover in drylands is just the beginning….(More)”.

Crowd Research: Open and Scalable University Laboratories


Paper by Rajan Vaish et al: “Research experiences today are limited to a privileged few at select universities. Providing open access to research experiences would enable global upward mobility and increased diversity in the scientific workforce. How can we coordinate a crowd of diverse volunteers on open-ended research? How could a PI have enough visibility into each person’s contributions to recommend them for further study? We present Crowd Research, a crowdsourcing technique that coordinates open-ended research through an iterative cycle of open contribution, synchronous collaboration, and peer assessment. To aid upward mobility and recognize contributions in publications, we introduce a decentralized credit system: participants allocate credits to each other, which a graph centrality algorithm translates into a collectively-created author order. Over 1,500 people from 62 countries have participated, 74% from institutions with low access to research. Over two years and three projects, this crowd has produced articles at top-tier Computer Science venues, and participants have gone on to leading graduate programs….(More)”.

Global innovations in measurement and evaluation


Report by Andrew WestonAnne KazimirskiAnoushka KenleyRosie McLeodRuth Gripper: “Measurement and evaluation is core to good impact practice. It helps us understand what works, how it works and how we can achieve more. Good measurement and evaluation involves reflective, creative, and proportionate approaches. It makes the most of existing theoretical frameworks as well as new digital solutions, and focuses on learning and improving. We researched the latest changes in theory and practice based on both new and older, renascent ideas. We spoke to leading evaluation experts from around the world, to ask what’s exciting them, what people are talking about and what is most likely to make a long lasting contribution to evaluation. And we found that new thinking, techniques, and technology are influencing and improving practice.

Technology is enabling us to gather different types of data on bigger scales, helping us gain insights or spot patterns we could not see before. Advances in systems to capture, manage and share sensitive data are helping organisations that want to work collaboratively, while moves towards open data are providing better access to data that can be linked together to generate even greater insight. Traditional models of evaluating a project once it has finished are being overtaken by methods that feed more dynamically into service design. We are learning from the private sector, where real-time feedback shapes business decisions on an ongoing basis asking: ‘is it working?’ instead of ‘did it work?’.

And approaches that focus on assessing not just if something works but how and why, for whom, and under what conditions are also generating more insight into the effectiveness of programmes. Technology may be driving many of the innovations we highlight here, but some of the most exciting developments are happening because of changes in the ideologies and cultures that inform our approach to solving big problems. This is resulting in an increased focus on listening to and involving users, and on achieving change at a systemic level—with technology simply facilitating these changes.

Some of the pressures that compel measurement and evaluation activity remain misguided. For example, there can be too big a focus on obtaining a cost-benefit ratio—regardless of the quality of the data it is based on—and not enough encouragement from funders for charities to learn from their evaluation activity. Even the positive developments have their pitfalls: new technologies pose new data protection risks, ethical hazards, and the possibility of exclusion if participation requires high levels of technical ability. It is important that, as the field develops and capabilities increase, we remain focused on achieving best practice.

This report highlights the developments that we think have the greatest potential to improve evaluation and programme design, and the careful collection and use of data. We want to celebrate what is possible, and encourage wider application of these ideas. Choosing the innovations In deciding which trends to include in this report, we considered how different approaches contributed to better evaluation by:

  • overcoming previous barriers to good evaluation practice, eg, through new technologies or skills;
  • providing more meaningful or robust data;
  • using data to support decision-making, learning and improving practice;
  • increasing equality between users, service deliverers and funders; and
  • offering new contexts for collaboration that improve the utility of data.

… Eight key trends emerged from our research that we thought to be most exciting, relevant and likely to have a long-lasting contribution. Some of these are driven by cutting-edge technology; others reflect growing application of ideas that push practice beyond ‘traditional’ models of evaluation. User-centric and shared approaches are leading to better informed measurement and evaluation design. Theory-based evaluation and impact management embolden us to ask better research questions and obtain more useful answers. Data linkage, the availability of big data, and the possibilities arising from remote sensing are increasing the number of questions we can answer. And data visualisation opens up doors to better understanding and communication of this data. Here we present each of these eight innovations and showcase examples of how organisations are using them to better understand and improve their work….(More)”