A Guide to Data Innovation for Development – From idea to proof-of-concept


Press Release: “UNDP and UN Global Pulse today released a comprehensive guide on how to integrate new sources of data into development and humanitarian work.

New and emerging data sources such as mobile phone data, social media, remote sensors and satellites have the potential to improve the work of governments and development organizations across the globe.

Entitled A Guide to Data Innovation for Development – From idea to proof-of-concept,’ this publication was developed by practitioners for practitioners. It provides step-by-step guidance for working with new sources of data to staff of UN agencies and international Non-Governmental Organizations.

The guide is a result of a collaboration of UNDP and UN Global Pulse with support from UN Volunteers. Led by UNDP innovation teams in Europe and Central Asia and Arab States, six UNDP offices in Armenia, Egypt, Kosovo[1], fYR Macedonia, Sudan and Tunisia each completed data innovation projects applicable to development challenges on the ground.

The publication builds on these successful case trials and on the expertise of data innovators from UNDP and UN Global Pulse who managed the design and development of those projects.

It provides practical guidance for jump-starting a data innovation project, from the design phase through the creation of a proof-of-concept.

The guide is structured into three sections – (I) Explore the Problem & System, (II) Assemble the Team and (III) Create the Workplan. Each of the sections comprises of a series of tools for completing the steps needed to initiate and design a data innovation project, to engage the right partners and to make sure that adequate privacy and protection mechanisms are applied.

…Download ‘A Guide to Data Innovation for Development – From idea to proof-of-concept’ here.”

The Crowd is Always There: A Marketplace for Crowdsourcing Crisis Response


Presentation by Patrick Meier at the Emergency Social Data Summit organized by the Red Cross …on “Collaborative Crisis Mapping” (the slides are available here): “What I want to expand on is the notion of a “marketplace for crowdsourcing” that I introduced at the Summit. The idea stems from my experience in the field of conflict early warning, the Ushahidi-Haiti deployment and my observations of the Ushahidi-DC and Ushahidi-Russia initiatives.

The crowd is always there. Paid Search & Rescue (SAR) teams and salaried emergency responders aren’t. Nor can they be on the corners of every street, whether that’s in Port-au-Prince, Haiti, Washington DC or Sukkur, Pakistan. But the real first responders, the disaster affected communities, are always there. Moreover, not all communities are equally affected by a crisis. The challenge is to link those who are most affected with those who are less affected (at least until external help arrives).

This is precisely what PIC Net and the Washington Post did when they  partnered to deploy this Ushahidi platform in response to the massive snow storm that paralyzed Washington DC earlier this year. They provided a way for affected residents to map their needs and for those less affected to map the resources they could share to help others. You don’t need to be a professional disaster response professional to help your neighbor dig out their car.

More recently, friends at Global Voices launched the most ambitious crowdsourcing initiative in Russia in response to the massive forest fires. But they didn’t use this Ushahidi platform to map the fires. Instead, they customized the public map so that those who needed help could find those who wanted to help. In effect, they created an online market place to crowdsource crisis response. You don’t need professional certification in disaster response to drive someone’s grandparents to the next town over.

There’s a lot that disaster affected populations can (and already do) to help each other out in times of crisis. What may help is to combine the crowdsourcing of crisis information with what I call crowdfeeding in order to create an efficient market place for crowdsourcing response. By crowdfeeding, I mean taking crowdsourced information and feeding it right back to the crowd. Surely they need that information as much if not more than external, paid responders who won’t get to the scene for hours or days….(More)”

Data Literacy – What is it and how can we make it happen?


Introduction by Mark Frank, Johanna Walker, Judie Attard, Alan Tygel of Special Issue on Data Literacy of The Journal of Community Informatics: “With the advent of the Internet and particularly Open Data, data literacy (the ability of non-specialists to make use of data) is rapidly becoming an essential life skill comparable to other types of literacy. However, it is still poorly defined and there is much to learn about how best to increase data literacy both amongst children and adults. This issue addresses both the definition of data literacy and current efforts on increasing and sustaining it. A feature of the issue is the range of contributors. While there are important contributions from the UK, Canada and other Western countries, these are complemented by several papers from the Global South where there is an emphasis on grounding data literacy in context and relating it the issues and concerns of communities. (Full Text: PDF)

See also:

Creating an Understanding of Data Literacy for a Data-driven Society by Annika Wolff, Daniel Gooch, Jose J. Cavero Montaner, Umar Rashid, Gerd Kortuem

Data Literacy defined pro populo: To read this article, please provide a little information by David Crusoe

Data literacy conceptions, community capabilities by Paul Matthews

Urban Data in the primary classroom: bringing data literacy to the UK curriculum by Annika Wolff, Jose J Cavero Montaner, Gerd Kortuem

Contributions of Paulo Freire for a Critical Data Literacy: a Popular Education Approach by Alan Freihof Tygel, Rosana Kirsch

DataBasic: Design Principles, Tools and Activities for Data Literacy Learners by Catherine D’Ignazio, Rahul Bhargava

Perceptions of ICT use in rural Brazil: Factors that impact appropriation among marginalized communities by Paola Prado, J. Alejandro Tirado-Alcaraz, Mauro Araújo Câmara

Graphical Perception of Value Distributions: An Evaluation of Non-Expert Viewers’ Data Literacy by Arkaitz Zubiaga, Brian Mac Namee

Social Media’s Globe-Shaking Power


…Over much of the last decade, we have seen progressive social movementspowered by the web spring up across the world. There was the Green Revolution in Iran and the Arab Spring in the Middle East and North Africa. In the United States, we saw the Occupy Wall Street movement andthe #BlackLivesMatter protests.

Social networks also played a role in electoral politics — first in the ultimately unsuccessful candidacy of Howard Dean in 2003, and then in the election of the first African-American president in 2008.

Yet now those movements look like the prelude to a wider, tech-powered crack up in the global order. In Britain this year, organizing on Facebook played a major role in the once-unthinkable push to get the country to leave the European Union. In the Philippines, Rodrigo Duterte, a firebrand mayor who was vastly outspent by opponents, managed to marshal a huge army of online supporters to help him win the presidency.

The Islamic State has used social networks to recruit jihadists from around the world to fight in Iraq and Syria, as well as to inspire terrorist attacks overseas.

And in the United States, both Bernie Sanders, a socialist who ran for president as a Democrat, and Mr. Trump, who was once reviled by most members of the party he now leads, relied on online movements to shatter the political status quo.

Why is this all happening now? Clay Shirky, a professor at New York University who has studied the effects of social networks, suggested a few reasons.

One is the ubiquity of Facebook, which has reached a truly epic scale. Last month the company reported that about 1.8 billion people now log on to the service every month. Because social networks feed off the various permutations of interactions among people, they become strikingly more powerful as they grow. With about a quarter of the world’s population now on Facebook, the possibilities are staggering.

“When the technology gets boring, that’s when the crazy social effects get interesting,” Mr. Shirky said.

One of those social effects is what Mr. Shirky calls the “shifting of the Overton Window,” a term coined by the researcher Joseph P. Overton to describe the range of subjects that the mainstream media deems publicly acceptable to discuss.

From about the early 1980s until the very recent past, it was usually considered unwise for politicians to court views deemed by most of society to be out of the mainstream, things like overt calls to racial bias (there were exceptions, of course, like the Willie Horton ad). But the internet shifted that window.

“White ethno nationalism was kept at bay because of pluralistic ignorance,”Mr. Shirky said. “Every person who was sitting in their basement yelling at the TV about immigrants or was willing to say white Christians were more American than other kinds of Americans — they didn’t know how many others shared their views.”

Thanks to the internet, now each person with once-maligned views can see that he’s not alone. And when these people find one another, they can do things — create memes, publications and entire online worlds that bolster their worldview, and then break into the mainstream. The groups also become ready targets for political figures like Mr. Trump, who recognize their energy and enthusiasm and tap into it for real-world victories.

Mr. Shirky notes that the Overton Window isn’t just shifting on the right. We see it happening on the left, too. Mr. Sanders campaigned on an anti-Wall Street platform that would have been unthinkable for a Democrat just a decade ago….(More)”

Using Cloud Computing to Untangle How Trees Can Cool Cities


 at CoolGreenScience: “We’ve all used Google Earth — to explore remote destinations around the world or to check out our house from above. But Google Earth Engine is a valuable tool for conservationists and geographers like myself that allows us to tackle some tricky remote-sensing analysis.

After having completed a few smaller spatial science projects in the cloud (mostly on the Google Earth Engine, or GEE, platform), I decided to give it a real workout — by analyzing more than 300 gigabytes of data across 28 United States and seven Chinese cities.

This project was part of a larger study looking at trees in cities. Why trees? Trees provide numerous valuable ecosystem services to communities: benefits associated with air and water quality, energy conservation, cooler air temperatures, and many other environmental and social benefits.

It’s easy to understand the benefits of trees: stand outside on a hot sunny day and you immediately feel cooler in the shade of a tree. But what’s not as obvious as the cooling effect are tree’s ability to remove particulate matter (PM2.5) floating around in the air we breath. And this important, as this type of air pollution is implicated in the deaths of ~3 million people per year.

The Conservancy researched the relationship between city air quality and the cooling effects of trees. Results of this study will inform the Global Cities Program initiative on Planting Healthy Air for cities ­­— the objective being to show how much trees can clean and cool, how much it will cost, and so forth….(More)”

Radical thinking reveals the secrets of making change happen


Extract from his new book in The Guardian where “Duncan Green explores how change actually occurs – and what that means: Political and economic earthquakes are often sudden and unforeseeable, despite the false pundits who pop up later to claim they predicted them all along – take the fall of the Berlin Wall, the 2008 global financial crisis, or the Arab Spring (and ensuing winter). Even at a personal level, change is largely unpredictable: how many of us can say our lives have gone according to the plans we had as 16-year-olds?

The essential mystery of the future poses a huge challenge to activists. If change is only explicable in the rear-view mirror, how can we accurately envision the future changes we seek, let alone achieve them? How can we be sure our proposals will make things better, and not fall victim to unintended consequences? People employ many concepts to grapple with such questions. I find “systems” and “complexity” two of the most helpful.

A “system” is an interconnected set of elements coherently organised in a way that achieves something. It is more than the sum of its parts: a body is more than an aggregate of individual cells; a university is not merely an agglomeration of individual students, professors, and buildings; an ecosystem is not just a set of individual plants and animals.

A defining property of human systems is complexity: because of the sheer number of relationships and feedback loops among their many elements, they cannot be reduced to simple chains of cause and effect. Think of a crowd on a city street, or a flock of starlings wheeling in the sky at dusk. Even with supercomputers, it is impossible to predict the movement of any given person or starling, but there is order; amazingly few collisions occur even on the most crowded streets.

In complex systems, change results from the interplay of many diverse and apparently unrelated factors. Those of us engaged in seeking change need to identify which elements are important and understand how they interact.

My interest in systems thinking began when collecting stories for my book FromPoverty to Power. The light-bulb moment came on a visit to India’s Bundelkhandregion, where the poor fishing communities of Tikamgarh had won rights to more than 150 large ponds. In that struggle numerous factors interacted to create change. First, a technological shift triggered changes in behaviour: the introduction of new varieties of fish, which made the ponds more profitable,induced landlords to seize ponds that had been communal. Conflict then built pressure for government action: a group of 12 brave young fishers in one village fought back, prompting a series of violent clashes that radicalized and inspired other communities; women’s groups were organized for the first time, taking control of nine ponds. Enlightened politicians and non-governmental organizations (NGOs) helped pass new laws and the police amazed everyone by enforcing them.

The fishing communities were the real heroes of the story. They tenaciously faced down a violent campaign of intimidation, moved from direct action to advocacy, and ended up winning not only access to the ponds but a series of legal and policy changes that benefited all fishing families.

The neat narrative sequence of cause and effect I’ve just written, of course, is only possible in hindsight. In the thick of the action, no-one could have said why the various actors acted as they did, or what transformed the relative power of each. Tikamgarh’s experience highlights how unpredictable is the interaction between structures (such as state institutions), agency (by communities and individuals), and the broader context (characterized by shifts in technology,environment, demography, or norms).

Unfortunately, the way we commonly think about change projects onto the future the neat narratives we draw from the past. Many of the mental models we use are linear plans – “if A,then B” – with profound consequences in terms of failure, frustration, and missed opportunities. AsMike Tyson memorably said, “Everyone has a plan ’til they get punched in the mouth”….(More)

See also http://how-change-happens.com/

Digital Kenya: An Entrepreneurial Revolution in the Making


(Open Access) book edited by Bitange Ndemo and Tim Weiss: “Presenting rigorous and original research, this volume offers key insights into the historical, cultural, social, economic and political forces at play in the creation of world-class ICT innovations in Kenya. Following the arrival of fiber-optic cables in 2009, Digital Kenya examines why the initial entrepreneurial spirit and digital revolution has begun to falter despite support from motivated entrepreneurs, international investors, policy experts and others. Written by engaged scholars and professionals in the field, the book offers 15 eye-opening chapters and 14 one-on-one conversations with entrepreneurs and investors to ask why establishing ICT start-ups on a continental and global scale remains a challenge on the “Silicon Savannah”. The authors present evidence-based recommendations to help Kenya to continue producing globally impactful  ICT innovations that improve the lives of those still waiting on the side-lines, and to inspire other nations to do the same….(More)”

The ethical impact of data science


Theme issue of Phil. Trans. R. Soc. A compiled and edited by Mariarosaria Taddeo and Luciano Floridi: “This theme issue has the founding ambition of landscaping data ethics as a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing and use), algorithms (including artificial intelligence, artificial agents, machine learning and robots) and corresponding practices (including responsible innovation, programming, hacking and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data ethics builds on the foundation provided by computer and information ethics but, at the same time, it refines the approach endorsed so far in this research field, by shifting the level of abstraction of ethical enquiries, from being information-centric to being data-centric. This shift brings into focus the different moral dimensions of all kinds of data, even data that never translate directly into information but can be used to support actions or generate behaviours, for example. It highlights the need for ethical analyses to concentrate on the content and nature of computational operations—the interactions among hardware, software and data—rather than on the variety of digital technologies that enable them. And it emphasizes the complexity of the ethical challenges posed by data science. Because of such complexity, data ethics should be developed from the start as a macroethics, that is, as an overall framework that avoids narrow, ad hoc approaches and addresses the ethical impact and implications of data science and its applications within a consistent, holistic and inclusive framework. Only as a macroethics will data ethics provide solutions that can maximize the value of data science for our societies, for all of us and for our environments….(More)”

Table of Contents:

  • The dynamics of big data and human rights: the case of scientific research; Effy Vayena, John Tasioulas
  • Facilitating the ethical use of health data for the benefit of society: electronic health records, consent and the duty of easy rescue; Sebastian Porsdam Mann, Julian Savulescu, Barbara J. Sahakian
  • Faultless responsibility: on the nature and allocation of moral responsibility for distributed moral actions; Luciano Floridi
  • Compelling truth: legal protection of the infosphere against big data spills; Burkhard Schafer
  • Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems; Sabina Leonelli
  • Privacy is an essentially contested concept: a multi-dimensional analytic for mapping privacy; Deirdre K. Mulligan, Colin Koopman, Nick Doty
  • Beyond privacy and exposure: ethical issues within citizen-facing analytics; Peter Grindrod
  • The ethics of smart cities and urban science; Rob Kitchin
  • The ethics of big data as a public good: which public? Whose good? Linnet Taylor
  • Data philanthropy and the design of the infraethics for information societies; Mariarosaria Taddeo
  • The opportunities and ethics of big data: practical priorities for a national Council of Data Ethics; Olivia Varley-Winter, Hetan Shah
  • Data science ethics in government; Cat Drew
  • The ethics of data and of data science: an economist’s perspective; Jonathan Cave
  • What’s the good of a science platform? John Gallacher

 

Open data aims to boost food security prospects


Mark Kinver at BBC News: “Rothamsted Research, a leading agricultural research institution, is attempting to make data from long-term experiments available to all.

In partnership with a data consultancy, is it developing a method to make complex results accessible and useable.

The institution is a member of the Godan Initiative that aims to make data available to the scientific community.

In September, Godan called on the public to sign its global petition to open agricultural research data.

“The continuing challenge we face is that the raw data alone is not sufficient enough on its own for people to make sense of it,” said Chris Rawlings, head of computational and systems biology at Rothamsted Research.

“This is because the long-term experiments are very complex, and they are looking at agriculture and agricultural ecosystems so you need to know a lot of about what the intention of the studies are, how they are being used, and the changes that have taken place over time.”

However, he added: “Even with this level of complexity, we do see significant number of users contacting us or developing links with us.”

One size fits all

The ability to provide open data to all is one of the research organisation’s national capabilities, and forms a defining principle of its web portal to the experiments carried out at its North Wyke Farm Platform in North Devon.

Rothamsted worked in partnership with Tessella, a data consultancy, on the data collected from the experiments, which focused on livestock pastures.

The information being collected, as often as every 15 minutes, includes water run-off levels, soil moisture, meteorological data, and soil nutrients, and this is expected to run for decades.

“The data is quite varied and quite diverse, and [Rothamsted] wants to make to make this data available to the wider research community,” explained Tessella’s Andrew Bowen.

“What Rothamsted needed was a way to store it and a way to present it in a portal in which people could see what they had to offer.”

He told BBC News that there were a number of challenges that needed to be tackled.

One was the management of the data, and the team from Tessella adopted an “agile scrum” approach.

“Basically, what you do is draw up a list of the requirements, of what you need, and we break the project down into short iterations, starting with the highest priority,” he said.

“This means that you are able to take a more exploratory approach to the process of developing software. This is very well suited to the research environment.”…(More)”

Power to the People: Addressing Big Data Challenges in Neuroscience by Creating a New Cadre of Citizen Neuroscientists


Jane Roskams and Zoran Popović in Neuron: “Global neuroscience projects are producing big data at an unprecedented rate that informatic and artificial intelligence (AI) analytics simply cannot handle. Online games, like Foldit, Eterna, and Eyewire—and now a new neuroscience game, Mozak—are fueling a people-powered research science (PPRS) revolution, creating a global community of “new experts” that over time synergize with computational efforts to accelerate scientific progress, empowering us to use our collective cerebral talents to drive our understanding of our brain….(More)”