Digital storytelling has become a popular method for curating community, organisational, and individual narratives. Since its beginnings over 20 years ago, projects have sprung up across the globe, where authentic voice is found in the narration of lived experiences. Contributing to a Collective Intelligence for the Common Good, the authors of this paper ask how shared stories can bring impetus to community groups to help identify what they seek to change, and how digital storytelling can be effectively implemented in community partnership projects to enable authentic voices to be carried to other stakeholders in society. The Community Digital Storytelling (CDST) method is introduced as a means for addressing community-of-place issues. There are five stages to this method: preparation, story telling, story digitisation, digital story sense-making, and digital story sharing. Additionally, a Storytelling Cycle of Trust framework is proposed. We identify four trust dimensions as being imperative foundations in implementing community digital media interventions for the common good: legitimacy, authenticity, synergy, and commons. This framework is concerned with increasing the impact that everyday stories can have on society; it is an engine driving prolonged storytelling. From this perspective, we consider the ability to scale up the scope and benefit of stories in civic contexts. To illustrate this framework, we use experiences from the CDST workshop in northern Britain and compare this with a social innovation project in the southern Netherlands….(More)”.
The Tech Revolution That’s Changing How We Measure Poverty
Alvin Etang Ndip at the Worldbank: “The world has an ambitious goal to end extreme poverty by 2030. But, without good poverty data, it is impossible to know whether we are making progress, or whether programs and policies are reaching those who are the most in need.
Countries, often in partnership with the World Bank Group and other agencies, measure poverty and wellbeing using household surveys that help give policymakers a sense of who the poor are, where they live, and what is holding back their progress. Once a paper-and-pencil exercise, technology is beginning to revolutionize the field of household data collection, and the World Bank is tapping into this potential to produce more and better poverty data….
“Technology can be harnessed in three different ways,” says Utz Pape, an economist with the World Bank. “It can help improve data quality of existing surveys, it can help to increase the frequency of data collection to complement traditional household surveys, and can also open up new avenues of data collection methods to improve our understanding of people’s behaviors.”
As technology is changing the field of data collection, researchers are continuing to find new ways to build on the power of mobile phones and tablets.
The World Bank’s Pulse of South Sudan initiative, for example, takes tablet-based data collection a step further. In addition to conducting the household survey, the enumerators also record a short, personalized testimonial with the people they are interviewing, revealing a first-person account of the situation on the ground. Such testimonials allow users to put a human face on data and statistics, giving a fuller picture of the country’s experience.
Real-time data through mobile phones
At the same time, more and more countries are generating real-time data through high-frequency surveys, capitalizing on the proliferation of mobile phones around the world. The World Bank’s Listening to Africa (L2A) initiative has piloted the use of mobile phones to regularly collect information on living conditions. The approach combines face-to-face surveys with follow-up mobile phone interviews to collect data that allows to monitor well-being.
The initiative hands out mobile phones and solar chargers to all respondents. To minimize the risk of people dropping out, the respondents are given credit top-ups to stay in the program. From monitoring health care facilities in Tanzania to collecting data on frequency of power outages in Togo, the initiative has been rolled out in six countries and has been used to collect data on a wide range of areas. …
Technology-driven data collection efforts haven’t been restricted to the Africa region alone. In fact, the approach was piloted early in Peru and Honduras with the Listening 2 LAC program. In Europe and Central Asia, the World Bank has rolled out the Listening to Tajikistan program, which was designed to monitor the impact of the Russian economic slowdown in 2014 and 2015. Initially a six-month pilot, the initiative has now been in operation for 29 months, and a partnership with UNICEF and JICA has ensured that data collection can continue for the next 12 months. Given the volume of data, the team is currently working to create a multidimensional fragility index, where one can monitor a set of well-being indicators – ranging from food security to quality jobs and public services – on a monthly basis…
There are other initiatives, such as in Mexico where the World Bank and its partners are using satellite imagery and survey data to estimate how many people live below the poverty line down to the municipal level, or guiding data collectors using satellite images to pick a representative sample for the Somali High Frequency Survey. However, despite the innovation, these initiatives are not intended to replace traditional household surveys, which still form the backbone of measuring poverty. When better integrated, they can prove to be a formidable set of tools for data collection to provide the best evidence possible to policymakers….(More)”
Is it too late to build a better world?
Keith Burnett at Campaign for Social Science: “The greatest challenge we face is to use our intellects to guide our actions in making the world a better place for us and our fellow human beings.
This is no easy task and its history is littered with false dawns and doctrines. You would have to be blind to the lessons of the past to fail to appreciate the awful impact that delusional ideas have had on mankind. Some of the worst are those meant to save us.
There are some who take this as a warning against intervention at all, who say it can never be done and shouldn’t even be attempted. That the forces of nature blow winds in society that we can never tame. That we are bound to suffer like a small ship in a stormy sea.
They might be right, but it would be the utmost dereliction of academia to give up on this quest. And in any case, I don’t believe it is true. These forces may be there, but there is much we can do, a lot of it deeply practical to make the journey more comfortable and so we even end up in the right port.
Of course, there are those who believe we academics simply don’t care. That scholarship is happiest at a distance from messy, contradictory humanity and prefers in its detached world of conferences and publications. That we are content to analyse rather than heal.
Well I can tell you that my social sciences colleagues at Sheffield are not content in an ivory tower and they never have been. They feel the challenges of our world as keenly as any. And they know if we ever needed understanding, and a vision of what society could be, we need it now.
I am confident they are not alone and, as a scientist all my life, it has become apparent to me that, to translate insights into change, we must frequently overcome barriers of perception and culture, of politics and prejudice. Our great challenges are not only technical but matters of education and economics. Our barriers those of opportunity, power and purpose.
If we want solutions to reach those who desperately need them, we must understand how to take the word and make it flesh. Ideas alone are not enough, they come to life through people. They need money, armies of changed opinion.
If we don’t do this work, the risk is truly terrible – that the armies and the power, the public opinion and votes, will be led by ignorance and profit. As the ancient Greeks knew, a demos could only function when citizens could grasp the consequences of their choices.
Perhaps we had forgotten; thought ‘it can’t happen here’? If so, this year has been a stark reminder of why we dare not be complacent. For who would deny the great political lessons we are almost choking on as we see Brexit evolve from fringe populist movement to a force that is shaking us to pieces? Who will have failed to understand, in the frustrations of Trump, the value of a constitution designed to protect citizens against the ravages of a tyrant?
Why do the social sciences matter? Just look around us. Who would deny the need for new ways to organise our industry and our economy as real incomes fade? Who would deny that we need a society which is able to sensibly regulate against the depredations of the unscrupulous landlord?
Who would deny the need to understand how to better educate and train our youth?
We are engaged in a battle for society, and the fronts are many and difficult. Can we hope to build a society that will look after the stranger in its midst? Is social justice a chimera?
Is there anything to be done?
To this we answer, yes. But we must do more than study, we must find the gears which will ensure what we discover can be absorbed by a society than needs to act with understanding…(More)”
E-residency and blockchain
Clare Sullivan and Eric Burger in Computer Law & Security Review: “In December 2014, Estonia became the first nation to open its digital borders to enable anyone, anywhere in the world to apply to become an e-Resident. Estonian e-Residency is essentially a commercial initiative. The e-ID issued to Estonian e-Residents enables commercial activities with the public and private sectors. It does not provide citizenship in its traditional sense, and the e-ID provided to e-Residents is not a travel document. However, in many ways it is an international ‘passport’ to the virtual world. E-Residency is a profound change and the recent announcement that the Estonian government is now partnering with Bitnation to offer a public notary service to Estonian e-Residents based on blockchain technology is of significance. The application of blockchain to e-Residency has the potential to fundamentally change the way identity information is controlled and authenticated. This paper examines the legal, policy, and technical implications of this development….(More)”.
The Politics of Evidence: From evidence-based policy to the good governance of evidence
(Open Access) Book by Justin Parkhurst: “There has been an enormous increase in interest in the use of evidence for public policymaking, but the vast majority of work on the subject has failed to engage with the political nature of decision making and how this influences the ways in which evidence will be used (or misused) within political areas. This book provides new insights into the nature of political bias with regards to evidence and critically considers what an ‘improved’ use of evidence would look like from a policymaking perspective.
Part I describes the great potential for evidence to help achieve social goals, as well as the challenges raised by the political nature of policymaking. It explores the concern of evidence advocates that political interests drive the misuse or manipulation of evidence, as well as counter-concerns of critical policy scholars about how appeals to ‘evidence-based policy’ can depoliticise political debates. Both concerns reflect forms of bias – the first representing technical bias, whereby evidence use violates principles of scientific best practice, and the second representing issue bias in how appeals to evidence can shift political debates to particular questions or marginalise policy-relevant social concerns.
Part II then draws on the fields of policy studies and cognitive psychology to understand the origins and mechanisms of both forms of bias in relation to political interests and values. It illustrates how such biases are not only common, but can be much more predictable once we recognise their origins and manifestations in policy arenas.
Finally, Part III discusses ways to move forward for those seeking to improve the use of evidence in public policymaking. It explores what constitutes ‘good evidence for policy’, as well as the ‘good use of evidence’ within policy processes, and considers how to build evidence-advisory institutions that embed key principles of both scientific good practice and democratic representation. Taken as a whole, the approach promoted is termed the ‘good governance of evidence’ – a concept that represents the use of rigorous, systematic and technically valid pieces of evidence within decision-making processes that are representative of, and accountable to, populations served…(More)”
Mastercard’s Big Data For Good Initiative: Data Philanthropy On The Front Lines
Interview by Randy Bean of Shamina Singh: Much has been written about big data initiatives and the efforts of market leaders to derive critical business insights faster. Less has been written about initiatives by some of these same firms to apply big data and analytics to a different set of issues, which are not solely focused on revenue growth or bottom line profitability. While the focus of most writing has been on the use of data for competitive advantage, a small set of companies has been undertaking, with much less fanfare, a range of initiatives designed to ensure that data can be applied not just for corporate good, but also for social good.
One such firm is Mastercard, which describes itself as a technology company in the payments industry, which connects buyers and sellers in 210 countries and territories across the globe. In 2013 Mastercard launched the Mastercard Center for Inclusive Growth, which operates as an independent subsidiary of Mastercard and is focused on the application of data to a range of issues for social benefit….
In testimony before the Senate Committee on Foreign Affairs on May 4, 2017, Mastercard Vice Chairman Walt Macnee, who serves as the Chairman of the Center for Inclusive Growth, addressed issues of private sector engagement. Macnee noted, “The private sector and public sector can each serve as a force for good independently; however when the public and private sectors work together, they unlock the potential to achieve even more.” Macnee further commented, “We will continue to leverage our technology, data, and know-how in an effort to solve many of the world’s most pressing problems. It is the right thing to do, and it is also good for business.”…
Central to the mission of the Mastercard Center is the notion of “data philanthropy”. This term encompasses notions of data collaboration and data sharing and is at the heart of the initiatives that the Center is undertaking. The three cornerstones on the Center’s mandate are:
- Sharing Data Insights– This is achieved through the concept of “data grants”, which entails granting access to proprietary insights in support of social initiatives in a way that fully protects consumer privacy.
- Data Knowledge – The Mastercard Center undertakes collaborations with not-for-profit and governmental organizations on a range of initiatives. One such effort was in collaboration with the Obama White House’s Data-Driven Justice Initiative, by which data was used to help advance criminal justice reform. This initiative was then able, through the use of insights provided by Mastercard, to demonstrate the impact crime has on merchant locations and local job opportunities in Baltimore.
- Leveraging Expertise – Similarly, the Mastercard Center has collaborated with private organizations such as DataKind, which undertakes data science initiatives for social good.Just this past month, the Mastercard Center released initial findings from its Data Exploration: Neighborhood Crime and Local Business initiative. This effort was focused on ways in which Mastercard’s proprietary insights could be combined with public data on commercial robberies to help understand the potential relationships between criminal activity and business closings. A preliminary analysis showed a spike in commercial robberies followed by an increase in bar and nightclub closings. These analyses help community and business leaders understand factors that can impact business success.Late last year, Ms. Singh issued A Call to Action on Data Philanthropy, in which she challenges her industry peers to look at ways in which they can make a difference — “I urge colleagues at other companies to review their data assets to see how they may be leveraged for the benefit of society.” She concludes, “the sheer abundance of data available today offers an unprecedented opportunity to transform the world for good.”….(More)
Data Responsibility: Social Responsibility for a Data Age
TED-X Talk by Stefaan Verhulst: “In April 2015, the Gorkha earthquake hit Nepal—the worst in more than 80 years. Hundreds of thousands of people were rendered homeless and entire villages were flattened. The earthquake also triggered massive avalanches on Mount Everest, and ultimately killed nearly 9,000 people across the country.
Yet for all the destruction, the toll could have been far greater. Without mitigating or in any way denying the horrible disaster that hit Nepal that day, the responsible use of data helped avoid a worse calamity and may offer lessons for other disasters around the world.
Following the earthquake, government and civil society organizations rushed in to address the humanitarian crisis. Notably, so did the private sector. Nepal’s largest mobile operator, Ncell, for example, decided to share its mobile data—in an aggregated, de-identified way—with the the nonprofit Swedish organization Flowminder. Flowminder then used this data to map population movements around the country; these real-time maps allowed the government and humanitarian organizations to better target aid and relief to affected communities, thus maximizing the impact of their efforts.
The initiative has been widely lauded as a model for cross-sector collaboration. But what is perhaps most striking about the initiative is the way it used data—in particular, how it repurposed data originally collected for private purposes for public ends. This use of corporate data for wider social impact reflects the emerging concept of “data responsibility.” …
The Three Pillars of Data Responsibility
1. Share. This is perhaps the most evident: Data holders have a duty to share private data when a clear case exists that it serves the public good. There now exists manifold evidence that data—with appropriate oversight—can help improve lives, as we saw in Nepal.
2. Protect. The consequences of failing to protect data are well documented. The most obvious problems occur when data is not properly anonymized or when de-anonymized data leaks into the public domain. But there are also more subtle cases, when ostensibly anonymized data is itself susceptible to de-anonymization, and information released for the public good ends up causing or potentially causing harm.
3. Act. For the data to really serve the public good, officials and others must create policies and interventions based on the insights they gain from it. Without action, the potential remains just that—mere potential, never translated into concrete results….(Watch TEDx Video).
See also International Data Responsibility Group and Data Collaboratives Project.
Democratic Resilience for a Populist Age
Helmut K. Anheier at Project Syndicate: “… many democracies are plagued by serious maladies – such as electoral gerrymandering, voter suppression, fraud and corruption, violations of the rule of law, and threats to judicial independence and press freedom – there is little agreement about which solutions should be pursued.
How to make our democracies more resilient, if not altogether immune, to anti-democratic threats is a central question of our time. …
Democratic resilience demands that citizens do more than bemoan deficiencies and passively await constitutional reform. It requires openness to change and innovation. Such changes may occur incrementally, but their aggregate effect can be immense…
Governments and citizens thus have a rich set of options – such as diversity quotas, automatic voter registration, and online referenda – for addressing democratic deficiencies. Moreover, there are measures that can also help citizens mount a defense of democracy against authoritarian assaults.
To that end, organizations can be created to channel protest and dissent into the democratic process, so that certain voices are not driven to the political fringe. And watchdog groups can oversee deliberative assemblies and co-governance efforts – such as participatory budgeting – to give citizens more direct access to decision-making. At the same time, core governance institutions, like central banks and electoral commissions, should be depoliticized, to prevent their capture by populist opportunists.
When properly applied, these measures can encourage consensus building and thwart special interests. Moreover, such policies can boost public trust and give citizens a greater sense of ownership vis-à-vis their government.
Of course, some political innovations that work in one context may cause real damage in another. Referenda, for example, are easily manipulated by demagogues. Assemblies can become gridlocked, and quotas can restrict voters’ choices. Fixing contemporary democracy will inevitably require experimentation and adaptation.
Still, recent research can help us along the way. The Governance Report 2017 has compiled a diverse list of democratic tools that can be applied in different contexts around the globe – by governments, policymakers, civil-society leaders, and citizens.
In his contribution to the report, German sociologist Claus Offe, Professor Emeritus of the Hertie School and Humboldt University identifies two fundamental priorities for all democracies. The first is to secure all citizens’ basic rights and ability to participate in civic life; the second is to provide a just and open society with opportunities for all citizens. As it happens, these two imperatives are linked: democratic government should be “of,” “by,” and for the people….(More)”.
Citizen science volunteers driven by desire to learn
UoP News: “People who give up their time for online volunteering are mainly motivated by a desire to learn, a new study has found.
The research surveyed volunteers on ‘citizen science’ projects and suggests that this type of volunteering could be used to increase general knowledge of science within society.
The study, led by Dr Joe Cox from the Department of Economics and Finance, discovered that an appetite to learn more about the subject was the number one driver for online volunteers, followed by being part of a community. It also revealed that many volunteers are motivated by a desire for escapism.
Online volunteering and crowdsourcing projects typically involve input from large numbers of contributors working individually but towards a common goal. This study surveyed 2000 people who volunteer for ‘citizen science’ projects hosted by Zooniverse, a collection of research projects that rely on volunteers to help scientists with the challenge of interpreting massive amounts of data….“What was interesting was that characteristics such as age, gender and level of education had no correlation with the amount of time people give up and the length of time they stay on a project. These participants were relatively highly educated compared with the rest of the population, but those with the highest levels of education do not appear to contribute the most effort and information towards these projects.”
The study noticed pronounced changes in how people are motivated at different stages of the volunteer process. While a desire to learn is the most important motivation among contributors at the early stages, the opportunities for social interaction and escapism become more important motivations at later stages….
He suggests that online volunteering and citizen science projects could incentivise participation by offering clearly defined opportunities for learning, while representing an effective way of increasing scientific literacy and knowledge within society….(More)”.
Elsevier Is Becoming a Data Company. Should Universities Be Wary?
Paul Basken at The Chronicle of Higher Education: “As universities have slowly pushed their scientists to embrace open-access journals, publishers will need new profit centers. Elsevier appears well ahead of the pack in creating a network of products that scientists can use to record, share, store, and measure the value to others of the surging amounts of data they produce.
“Maybe all publishers are going, or wish they were” going, in the direction of becoming data companies, said Vincent Larivière, an associate professor of information science at the University of Montreal. “But Elsevier is the only one that is there.”
A Suite of Services
Universities also recognize the future of data. Their scientists are already seeing that widely and efficiently sharing data in fields such as cancer research has enabled accomplishments that have demonstrably saved lives.
In their eagerness to embrace that future, however, universities may not be paying enough attention to what their choices of systems may eventually cost them, warned Roger C. Schonfeld, a program director at Ithaka S+R. With its comprehensive data-services network, Mr. Schonfeld wrote earlier this year, Elsevier appears ready “to lock in scientists to a research workflow no less powerful than the strength of the lock-in libraries have felt to ‘big deal’ bundles.”….
Some open-access advocates say the situation points to an urgent need to create more robust nonprofit alternatives to Elsevier’s product line of data-compiling and sharing tools. But so far financial backing for the developmental work is thin. One of the best known attempts is the Open Science Framework, a web-based data interface built by the Center for Open Science, which has an annual budget of about $6 million, provided largely by foundations and other private donors.
In general, U.S. research universities — a $70 billion scientific enterprise — have not made major contributions to such projects. The Association of American Universities and the Association of Public and Land-grant Universities have, however, formed a team that’s begun studying the future of data sharing. So far, that effort has been focused on more basic steps such as establishing data-storage facilities, linking them together, and simply persuading scientists to take seriously the need to share data.…(More)”