international

Regulatory Transformations: An Introduction

Curated on May 11, 2016August 3, 2018 by Stefaan Verhulst

Chapter by Bettina Lange and Fiona Haines in the book Regulatory Transformations: “Regulation is no longer the prerogative of either states or markets. Increasingly citizens in association with businesses catalyse regulation which marks the rise of a social sphere in regulation. Around the world, in San Francisco, Melbourne, Munich and Mexico City, citizens have sought to transform how and to what end economic transactions are conducted. For instance, ‘carrot mob’ initiatives use positive economic incentives, not provided by a state legal system, but by a collective of civil society actors in order to change business behaviour. In contrast to ‘negative’ consumer boycotts, ‘carrotmob’ events use ‘buycotts’. They harness competition between businesses as the lever for changing how and for what purpose business transactions are conducted. Through new social media ‘carrotmobs’ mobilize groups of citizens to purchase goods at a particular time in a specific shop. The business that promises to spend the greatest percentage of its takings on, for instance, environmental improvements, such as switching to a supplier of renewable energy, will be selected for an organized shopping spree and financially benefit from the extra income it receives from the ‘carrot mob’ event.’Carrot mob’ campaigns chime with other fundamental challenges to conventional economic activity, such as the shared use of consumer goods through citizens collective consumption which questions traditional conceptions of private property….(More; Other Chapters)”

A Political Economy Framework for the Urban Data Revolution

Curated on April 30, 2016August 3, 2018 by Stefaan Verhulst

Research Report by Ben Edwards, Solomon Greene and G. Thomas Kingsley: “With cities growing rapidly throughout much of the developing world, the global development community increasingly recognizes the need to build the capacities of local leaders to analyze and apply data to improve urban policymaking and service delivery. Civil society leaders, development advocates, and local governments are calling for an “urban data revolution” to accompany the new UN Sustainable Development Goals (SDGs), a revolution that would provide city leaders new tools and resources for data-driven governance. The need for improved data and analytic capacity in rapidly growing cities is clear, as is the exponential increase in the volume and types of data available for policymaking. However, the institutional arrangements that will allow city leaders to use data effectively remain incompletely theorized and poorly articulated.

This paper begins to fill that gap with a political economy framework that introduces three new concepts: permission, incentive, and institutionalization. We argue that without addressing the permission constraints and competing incentives that local government officials face in using data, investments in improved data collection at the local level will fail to achieve smarter urban policies. Granting permission and aligning incentives are also necessary to institutionalize data-driven governance at the local level and create a culture of evidence-based decisionmaking that outlives individual political administrations. Lastly, we suggest how the SDGs could support a truly transformative urban data revolution in which city leaders are empowered and incentivized to use data to drive decisionmaking for sustainable development…(More)”

Crowdsourcing global governance: sustainable development goals, civil society, and the pursuit of democratic legitimacy

Curated on April 30, 2016August 3, 2018 by Stefaan Verhulst

Paper by Joshua C. Gellers in International Environmental Agreements: Politics, Law and Economics: “To what extent can crowdsourcing help members of civil society overcome the democratic deficit in global environmental governance? In this paper, I evaluate the utility of crowdsourcing as a tool for participatory agenda-setting in the realm of post-2015 sustainable development policy. In particular, I analyze the descriptive representativeness (e.g., the degree to which participation mirrors the demographic attributes of non-state actors comprising global civil society) of participants in two United Nations orchestrated crowdsourcing processes—the MY World survey and e-discussions regarding environmental sustainability. I find that there exists a perceptible demographic imbalance among contributors to the MY World survey and considerable dissonance between the characteristics of participants in the e-discussions and those whose voices were included in the resulting summary report. The results suggest that although crowdsourcing may present an attractive technological approach to expand participation in global governance, ultimately the representativeness of that participation and the legitimacy of policy outputs depend on the manner in which contributions are solicited and filtered by international institutions….(More)”

Using Data to Help People in Distress Get Help Faster

Curated on April 29, 2016August 15, 2018 by Stefaan Verhulst

Nicole Wallace in The Chronicle of Philanthropy: “Answering text messages to a crisis hotline is different from handling customer-service calls: You don’t want counselors to answer folks in the order their messages were received. You want them to take the people in greatest distress first.

Crisis Text Line, a charity that provides counseling by text message, uses sophisticated data analysis to predict how serious the conversations are likely to be and ranks them by severity. Using an algorithm to automate triage ensures that people in crisis get help fast — with an unexpected side benefit for other texters contacting the hotline: shorter wait times.

When the nonprofit started in 2013, deciding which messages to take first was much more old-school. Counselors had to read all the messages in the queue and make a gut-level decision on which person was most in need of help.

“It was slow,” says Bob Filbin, the organization’s chief data scientist.

To solve the problem, Mr. Filbin and his colleagues used past messages to the hotline to create an algorithm that analyzes the language used in incoming messages and ranks them in order of predicted severity.

And it’s working. Since the algorithm went live on the platform, messages it marked as severe — code orange — led to conversations that were six times more likely to include thoughts of suicide or self-harm than exchanges started by other texts that weren’t marked code orange, and nine times more likely to have resulted in the counselor contacting emergency services to intervene in a suicide attempt.

Counselors don’t even see the queue of waiting texts anymore. They just click a button marked “Help Another Texter,” and the system connects them to the person whose message has been marked most urgent….(More)”

UN-Habitat Urban Data Portal

Curated on April 28, 2016August 3, 2018 by Stefaan Verhulst

Data Driven Journalism: “UN-Habitat has launched a new web portal featuring a wealth of city data based on its repository of research on urban trends.

Launched during the 25th Governing Council, the Urban Data Portal allows users to explore data from 741 cities in 220 countries, and compare these for 103 indicators such as slum prevalence and city prosperity.

Image: A comparison of share in national urban population and average annual rate of urban population change for San Salvador, El Salvador, and Asuncion, Paraguay.

The urban indicators data available are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory, which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics.

Leveraging GIS technology, the Observatory collects data by taking aerial photographs, zooming into particular areas, and then sending in survey teams to answer any remaining questions about the area’s urban development.

The Portal also contains data collected by national statistics authorities, via household surveys and censuses, with analysis conducted by leading urbanists in UN-HABITAT’s State of the World’s Cities and the Global Report on Human Settlements report series.

For the first time, these datasets are available for use under an open licence agreement, and can be downloaded in straightforward database formats like CSV and JSON….(More)

Ethical Reasoning in Big Data

Curated on April 28, 2016August 3, 2018 by Stefaan Verhulst

Book edited by Collmann, Jeff, and Matei, Sorin Adam: “This book springs from a multidisciplinary, multi-organizational, and multi-sector conversation about the privacy and ethical implications of research in human affairs using big data. The need to cultivate and enlist the public’s trust in the abilities of particular scientists and scientific institutions constitutes one of this book’s major themes. The advent of the Internet, the mass digitization of research information, and social media brought about, among many other things, the ability to harvest – sometimes implicitly – a wealth of human genomic, biological, behavioral, economic, political, and social data for the purposes of scientific research as well as commerce, government affairs, and social interaction. What type of ethical dilemmas did such changes generate? How should scientists collect, manipulate, and disseminate this information? The effects of this revolution and its ethical implications are wide-ranging.

This book includes the opinions of myriad investigators, practitioners, and stakeholders in big data on human beings who also routinely reflect on the privacy and ethical issues of this phenomenon. Dedicated to the practice of ethical reasoning and reflection in action, the book offers a range of observations, lessons learned, reasoning tools, and suggestions for institutional practice to promote responsible big data research on human affairs. It caters to a broad audience of educators, researchers, and practitioners. Educators can use the volume in courses related to big data handling and processing. Researchers can use it for designing new methods of collecting, processing, and disseminating big data, whether in raw form or as analysis results. Lastly, practitioners can use it to steer future tools or procedures for handling big data. As this topic represents an area of great interest that still remains largely undeveloped, this book is sure to attract significant interest by filling an obvious gap in currently available literature. …(More)”

Science to the People

Curated on April 23, 2016August 15, 2018 by Stefaan Verhulst

David Lang on how citizen science bridges the gap between science and society: “It’s hard to find a silver lining in the water crisis in Flint, Michigan. The striking images of jugs of brown water being held high in protest are a symbol of institutional failure on a grand scale. It’s a disaster. But even as questions of accountability and remedy remain unanswered, there is already one lesson we can take away: Citizen science can be used as a powerful tool to build (or rebuild) the public’s trust in science.

Because the other striking image from Flint is this: Citizen-scientists sampling and testing their own water, from their homes and neighborhoods,and reporting the results as scientific data. Dr. Marc Edwards is the VirginiaTech civil engineering professor who led the investigation into the lead levels in Flint’s water supply, and in a February 2016 interview with TheChronicle of Higher Education, he gave an important answer about the methods his team used to obtain the data: “Normal people really appreciate good science that’s done in their interest. They stepped forward as citizen-scientists to explore what was happening to them and to their community,we provided some funding and the technical and analytical expertise, and they did all the work. I think that work speaks for itself.”

It’s a subtle but important message: The community is rising up and rallying by using science, not by reacting to it. Other scientists trying to highlight important issues and influence public opinion would do well to take note, because there’s a disconnect between what science reports and what the general public chooses to believe. For instance, 97 percent of scientists agree that the world’s climate is warming, likely due to human activities. Yet only 70 percent of Americans believe that global warming is real. Many of the most important issues of our time have the same, growing gap between scientific and societal consensus: genetically modified foods, evolution,vaccines are often widely distrusted or disputed despite strong, positive scientific evidence…..

The good news is that we’re learning. Citizen science — the growing trend of involving non-professional scientists in the process of discovery — is proving to be a supremely effective tool. It now includes far more than birders and backyard astronomers, its first amateur champions. Over the past few years,the discipline has been gaining traction and popularity in academic circles too. Involving groups of amateur volunteers is now a proven strategy for collecting data over large geographic areas or over long periods of time.Online platforms like Zooniverse have shown that even an untrained human eye can spot anomalies in everything from wildebeest migrations to Martiansurfaces. For certain types of research, citizen science just works.

While a long list of peer-reviewed papers now backs up the efficacy of citizen science, and a series of papers has shown its positive impact on students’ view of science, we’re just beginning to understand the impact of that participation on the wider perception of science. Truthfully, for now,most of what we know so far about its public impact is anecdotal, as in the work in Flint, or even on our online platform for explorers, OpenExplorer….It makes sense that citizen science should affect public perception of science.The difference between “here are the results of a study” and “please help

It makes sense that citizen science should affect public perception of science.The difference between “here are the results of a study” and “please help us in the process of discovery” is profound. It’s the difference between a rote learning moment and an immersive experience. And even if not everyone is getting involved, the fact that this is possible and that some members of a community are engaging makes science instantly more relatable. It creates what Tim O’Reilly calls an “architecture of participation.” Citizen scientists create the best interface for convincing the rest of the populace.

A recent article in Nature argued that the DIY biology community was, in fact, ahead of the scientific establishment in terms of proactively thinking about the safety and ethics of rapidly advancing biotechnology tools. They had to be. For those people opening up community labs so that anyone can come and participate, public health issues can’t be pushed aside or dealt with later. After all, they are the public that will be affected….(More)”

The Open Data Barometer (3rd edition)

Curated on April 22, 2016August 3, 2018 by Stefaan Verhulst

The Open Data Barometer: “Once the preserve of academics and statisticians, data has become a development cause embraced by everyone from grassroots activists to the UN Secretary-General. There’s now a clear understanding that we need robust data to drive democracy and development — and a lot of it.

Last year, the world agreed the Sustainable Development Goals (SDGs) — seventeen global commitments that set an ambitious agenda to end poverty, fight inequality and tackle climate change by 2030. Recognising that good data is essential to the success of the SDGs, the Global Partnership for Sustainable Development Data and the International Open Data Charter were launched as the SDGs were unveiled. These alliances mean the “data revolution” now has over 100 champions willing to fight for it. Meanwhile, Africa adopted the African Data Consensus — a roadmap to improving data standards and availability in a region that has notoriously struggled to capture even basic information such as birth registration.

But while much has been made of the need for bigger and better data to power the SDGs, this year’s Barometer follows the lead set by the International Open Data Charter by focusing on how much of this data will be openly available to the public.

Open data is essential to building accountable and effective institutions, and to ensuring public access to information — both goals of SDG 16. It is also essential for meaningful monitoring of progress on all 169 SDG targets. Yet the promise and possibilities offered by opening up data to journalists, human rights defenders, parliamentarians, and citizens at large go far beyond even these….

At a glance, here are this year’s key findings on the state of open data around the world:

Open data is entering the mainstream.The majority of the countries in the survey (55%) now have an open data initiative in place and a national data catalogue providing access to datasets available for re-use. Moreover, new open data initiatives are getting underway or are promised for the near future in a number of countries, including Ecuador, Jamaica, St. Lucia, Nepal, Thailand, Botswana, Ethiopia, Nigeria, Rwanda and Uganda. Demand is high: civil society and the tech community are using government data in 93% of countries surveyed, even in countries where that data is not yet fully open.
Despite this, there’s been little to no progress on the number of truly open datasets around the world.Even with the rapid spread of open government data plans and policies, too much critical data remains locked in government filing cabinets. For example, only two countries publish acceptable detailed open public spending data. Of all 1,380 government datasets surveyed, almost 90% are still closed — roughly the same as in the last edition of the Open Data Barometer (when only 130 out of 1,290 datasets, or 10%, were open). What is more, much of the approximately 10% of data that meets the open definition is of poor quality, making it difficult for potential data users to access, process and work with it effectively.
“Open-washing” is jeopardising progress. Many governments have advertised their open data policies as a way to burnish their democratic and transparent credentials. But open data, while extremely important, is just one component of a responsive and accountable government. Open data initiatives cannot be effective if not supported by a culture of openness where citizens are encouraged to ask questions and engage, and supported by a legal framework. Disturbingly, in this edition we saw a backslide on freedom of information, transparency, accountability, and privacy indicators in some countries. Until all these factors are in place, open data cannot be a true SDG accelerator.
Implementation and resourcing are the weakest links.Progress on the Barometer’s implementation and impact indicators has stalled or even gone into reverse in some cases. Open data can result in net savings for the public purse, but getting individual ministries to allocate the budget and staff needed to publish their data is often an uphill battle, and investment in building user capacity (both inside and outside of government) is scarce. Open data is not yet entrenched in law or policy, and the legal frameworks supporting most open data initiatives are weak. This is a symptom of the tendency of governments to view open data as a fad or experiment with little to no long-term strategy behind its implementation. This results in haphazard implementation, weak demand and limited impact.
The gap between data haves and have-nots needs urgent attention.Twenty-six of the top 30 countries in the ranking are high-income countries. Half of open datasets in our study are found in just the top 10 OECD countries, while almost none are in African countries. As the UN pointed out last year, such gaps could create “a whole new inequality frontier” if allowed to persist. Open data champions in several developing countries have launched fledgling initiatives, but too often those good open data intentions are not adequately resourced, resulting in weak momentum and limited success.
Governments at the top of the Barometer are being challenged by a new generation of open data adopters. Traditional open data stalwarts such as the USA and UK have seen their rate of progress on open data slow, signalling that new political will and momentum may be needed as more difficult elements of open data are tackled. Fortunately, a new generation of open data adopters, including France, Canada, Mexico, Uruguay, South Korea and the Philippines, are starting to challenge the ranking leaders and are adopting a leadership attitude in their respective regions. The International Open Data Charter could be an important vehicle to sustain and increase momentum in challenger countries, while also stimulating renewed energy in traditional open data leaders….(More)”

Foreign Policy has lost its creativity. Design thinking is the answer.

Curated on April 21, 2016August 15, 2018 by Stefaan Verhulst

Elizabeth Radziszewski at The Wilson Quaterly: “Although the landscape of threats has changed in recent years, U.S. strategies bear striking resemblance to the ways policymakers dealt with crises in the past. Whether it involves diplomatic overtures, sanctions, bombing campaigns, or the use of special ops and covert operations, the range of responses suffers from innovation deficit. Even the use of drones, while a new tool of warfare, is still part of the limited categories of responses that focus mainly on whether or not to kill, cooperate, or do nothing. To meet the evolving nature of threats posed by nonstate actors such as ISIS, the United States needs a strategy makeover — a creative lift, so to speak.

Sanctions, diplomacy, bombing campaigns, special ops, covert operations — the range of our foreign policy responses suffers from an innovation deficit.

Enter the business world. Today’s top companies face an increasingly competitive marketplace where innovative approaches to product and service development are a necessity. Just as the market has changed for companies since the forces of globalization and the digital economy took over, so has the security landscape evolved for the world’s leading hegemon. Yet the responses of top businesses to these changes stand in stark contrast to the United States’ stagnant approaches to current national security threats. Many of today’s thriving businesses have embraced design thinking (DT), an innovative process that identifies consumer needs through immersive ethnographic experiences that are melded with creative brainstorming and quick prototyping.

What would happen if U.S. policymakers took cues from the business world and applied DT in policy development? Could the United States prevent the threats from metastasizing with more proactive rather than reactive strategies — by discovering, for example, how ideas from biology, engineering, and other fields could help analysts inject fresh perspective into tired solutions? Put simply, if U.S. policymakers want to succeed in managing future threats, then they need to start thinking more like business innovators who integrate human needs with technology and economic feasibility.

In his 1969 book The Sciences of the Artificial, Herbert Simon made the first connection between design and a way of thinking. But it was not until the 1980s and 1990s that Stanford scientists began to see the benefits of design practices used by industrial designers as a method for creative thinking. At the core of DT is the idea that solving a challenge requires a deeper understanding of the problem’s true nature and the processes and people involved. This approach contrasts greatly with more standard innovation styles, where a policy solution is developed and then resources are used to fit the solution to the problem. DT reverses the order.

DT encourages divergent thinking, the process of generating many ideas before converging to select the most feasible ones, including making connections between different-yet-related worlds. Finally, the top ideas are quickly prototyped and tested so that early solutions can be modified without investing many resources and risking the biggest obstacle to real innovation: the impulse to try fitting an idea, product, policy to the people, rather of the other way around…

If DT has reenergized the innovative process in the business and nonprofit sector, a systematic application of its methodology could just as well revitalize U.S. national security policies. Innovation in security and foreign policy is often framed around the idea of technological breakthroughs. Thanks toDefense Advanced Research Projects Agency (DARPA), the Department of Defense has been credited with such groundbreaking inventions as GPS, the Internet, and stealth fighters — all of which have created rich opportunities to explore new military strategies. Reflecting this infatuation with technology, but with a new edge, is Defense Secretary Ashton Carter’s unveiling of the Defense Innovation Unit Experimental, an initiative to scout for new technologies, improve outreach to startups, and form deeper relationships between the Pentagon and Silicon Valley. The new DIUE effort signals what businesses have already noticed: the need to be more flexible in establishing linkages with people outside of the government in search for new ideas.

Yet because the primary objective of DIUE remains technological prowess, the effort alone is unlikely to drastically improve the management of national security. Technology is not a substitute for an innovative process. When new invention is prized as the sole focus of innovation, it can, paradoxically, paralyze innovation. Once an invention is adopted, it is all too tempting to mold subsequent policy development around emergent technology, even if other solutions could be more appropriate….(More)”