Democracy From Above? The Unfulfilled Promise of Nationally Mandated Participatory Reforms


Book by Stephanie L. McNulty: “People are increasingly unhappy with their governments in democracies around the world. In countries as diverse as India, Ecuador, and Uganda, governments are responding to frustrations by mandating greater citizen participation at the local and state level. Officials embrace participatory reforms, believing that citizen councils and committees lead to improved accountability and more informed communities. Yet there’s been little research on the efficacy of these efforts to improve democracy, despite an explosion in their popularity since the mid-1980s.Democracy from Above? tests the hypothesis that top-down reforms strengthen democracies and evaluates the conditions that affect their success.

Stephanie L. McNulty addresses the global context of participatory reforms in developing nations. She observes and interprets what happens after greater citizen involvement is mandated in seventeen countries, with close case studies of Guatemala, Bolivia, and Peru. The first cross-national comparison on this issue,Democracy from Above? explores whether the reforms effectively redress the persistent problems of discrimination, elite capture, clientelism, and corruption in the countries that adopt them. As officials and reformers around the world and at every level of government look to strengthen citizen involvement and confidence in the political process, McNulty provides a clear understanding of the possibilities and limitations of nationally mandated participatory reforms…(More)”.

Crowdsourced mapping in crisis zones: collaboration, organisation and impact


Amelia Hunt and Doug Specht in the Journal of International Humanitarian Action:  “Crowdsourced mapping has become an integral part of humanitarian response, with high profile deployments of platforms following the Haiti and Nepal earthquakes, and the multiple projects initiated during the Ebola outbreak in North West Africa in 2014, being prominent examples. There have also been hundreds of deployments of crowdsourced mapping projects across the globe that did not have a high profile.

This paper, through an analysis of 51 mapping deployments between 2010 and 2016, complimented with expert interviews, seeks to explore the organisational structures that create the conditions for effective mapping actions, and the relationship between the commissioning body, often a non-governmental organisation (NGO) and the volunteers who regularly make up the team charged with producing the map.

The research suggests that there are three distinct areas that need to be improved in order to provide appropriate assistance through mapping in humanitarian crisis: regionalise, prepare and research. The paper concludes, based on the case studies, how each of these areas can be handled more effectively, concluding that failure to implement one area sufficiently can lead to overall project failure….(More)”

Smart cities could be lousy to live in if you have a disability


Elizabeth Woyke in MIT Technology Review: “People with disabilities affecting mobility, vision, hearing, and cognitive function often move to cities to take advantage of their comprehensive transit systems and social services. But US law doesn’t specify how municipalities should design and implement digital services for disabled people. As a result, cities sometimes adopt new technologies that can end up causing, rather than resolving, problems of accessibility.

Nowhere was this more evident than with New York City’s LinkNYC kiosks, which were installed on sidewalks in 2016 without including instructions in Braille or audible form. Shortly after they went in, the American Federation for the Blind sued the city. The suit was settled in 2017 and the kiosks have been updated, but Pineda says touch screens in general are still not fully accessible to people with disabilities.

Also problematic: the social-media-based apps that some municipal governments have started using to solicit feedback from residents. Blind and low-vision people typically can’t use the apps, and people over 65 are less likely to, says James Thurston, a vice president at the nonprofit G3ict, which promotes accessible information and communication technologies. “Cities may think they’re getting data from all their residents, but if those apps aren’t accessible, they’re leaving out the voices of large chunks of their population,” he says….

Even for city officials who have these issues on their minds, knowing where to begin can be difficult. Smart Cities for All, an initiative led by Thurston and Pineda, aims to help by providing free, downloadable tools that cities can use to analyze their technology and find more accessible options. One is a database of hundreds of pre-vetted products and services. Among the entries are Cyclomedia, which uses lidar data to determine when city sidewalks need maintenance, and ZenCity, a data analytics platform that uses AI to gauge what people are saying about a city’s level of accessibility. 

This month, the group will kick off a project working with officials in Chicago to grade the city on how well it supports people with disabilities. One key part of the project will be ensuring the accessibility of a new 311 phone system being introduced as a general portal to city services. The group has plans to expand to several other US cities this year, but its ultimate aim is to turn the work into a global movement. It’s met with governments in India and Brazil as well as Sidewalk Labs, the Alphabet subsidiary that is developing a smart neighborhood in Toronto….(More)”.

IBM aims to use crowdsourced sensor data to improve local weather forecasting globally


Larry Dignan at ZDN: “IBM is hoping that mobile barometric sensors from individuals opting in, supercomputing ,and the Internet of Things can make weather forecasting more local globally.

Big Blue, which owns The Weather Company, will outline the IBM Global High-Resolution Atmospheric Forecasting System (GRAF). GRAF incorporates IoT data in its weather models via crowdsourcing.

While hyper local weather forecasts are available in the US, Japan, and some parts of Western Europe, many regions in the world lack an accurate picture of weather.

Mary Glackin, senior vice president of The Weather Company, said the company is “trying to fill in the blanks.” She added, “In a place like India, weather stations are kilometers away. We think this can be as significant as bringing satellite data into models.”

For instance, the developing world gets forecasts based on global data that are updated every 6 hours and resolutions at 10km to 15km. By using GRAF, IBM said it can offer forecasts for the day ahead that are updated hourly on average and have a 3km resolution….(More)”.

Index: Open Data


By Alexandra Shaw, Michelle Winowatan, Andrew Young, and Stefaan Verhulst

The Living Library Index – inspired by the Harper’s Index – provides important statistics and highlights global trends in governance innovation. This installment focuses on open data and was originally published in 2018.

Value and Impact

  • The projected year at which all 28+ EU member countries will have a fully operating open data portal: 2020

  • Between 2016 and 2020, the market size of open data in Europe is expected to increase by 36.9%, and reach this value by 2020: EUR 75.7 billion

Public Views on and Use of Open Government Data

  • Number of Americans who do not trust the federal government or social media sites to protect their data: Approximately 50%

  • Key findings from The Economist Intelligence Unit report on Open Government Data Demand:

    • Percentage of respondents who say the key reason why governments open up their data is to create greater trust between the government and citizens: 70%

    • Percentage of respondents who say OGD plays an important role in improving lives of citizens: 78%

    • Percentage of respondents who say OGD helps with daily decision making especially for transportation, education, environment: 53%

    • Percentage of respondents who cite lack of awareness about OGD and its potential use and benefits as the greatest barrier to usage: 50%

    • Percentage of respondents who say they lack access to usable and relevant data: 31%

    • Percentage of respondents who think they don’t have sufficient technical skills to use open government data: 25%

    • Percentage of respondents who feel the number of OGD apps available is insufficient, indicating an opportunity for app developers: 20%

    • Percentage of respondents who say OGD has the potential to generate economic value and new business opportunity: 61%

    • Percentage of respondents who say they don’t trust governments to keep data safe, protected, and anonymized: 19%

Efforts and Involvement

  • Time that’s passed since open government advocates convened to create a set of principles for open government data – the instance that started the open data government movement: 10 years

  • Countries participating in the Open Government Partnership today: 79 OGP participating countries and 20 subnational governments

  • Percentage of “open data readiness” in Europe according to European Data Portal: 72%

    • Open data readiness consists of four indicators which are presence of policy, national coordination, licensing norms, and use of data.

  • Number of U.S. cities with Open Data portals: 27

  • Number of governments who have adopted the International Open Data Charter: 62

  • Number of non-state organizations endorsing the International Open Data Charter: 57

  • Number of countries analyzed by the Open Data Index: 94

  • Number of Latin American countries that do not have open data portals as of 2017: 4 total – Belize, Guatemala, Honduras and Nicaragua

  • Number of cities participating in the Open Data Census: 39

Demand for Open Data

  • Open data demand measured by frequency of open government data use according to The Economist Intelligence Unit report:

    • Australia

      • Monthly: 15% of respondents

      • Quarterly: 22% of respondents

      • Annually: 10% of respondents

    • Finland

      • Monthly: 28% of respondents

      • Quarterly: 18% of respondents

      • Annually: 20% of respondents

    •  France

      • Monthly: 27% of respondents

      • Quarterly: 17% of respondents

      • Annually: 19% of respondents

        •  
    • India

      • Monthly: 29% of respondents

      • Quarterly: 20% of respondents

      • Annually: 10% of respondents

    • Singapore

      • Monthly: 28% of respondents

      • Quarterly: 15% of respondents

      • Annually: 17% of respondents 

    • UK

      • Monthly: 23% of respondents

      • Quarterly: 21% of respondents

      • Annually: 15% of respondents

    • US

      • Monthly: 16% of respondents

      • Quarterly: 15% of respondents

      • Annually: 20% of respondents

  • Number of FOIA requests received in the US for fiscal year 2017: 818,271

  • Number of FOIA request processed in the US for fiscal year 2017: 823,222

  • Distribution of FOIA requests in 2017 among top 5 agencies with highest number of request:

    • DHS: 45%

    • DOJ: 10%

    • NARA: 7%

    • DOD: 7%

    • HHS: 4%

Examining Datasets

  • Country with highest index score according to ODB Leaders Edition: Canada (76 out of 100)

  • Country with lowest index score according to ODB Leaders Edition: Sierra Leone (22 out of 100)

  • Number of datasets open in the top 30 governments according to ODB Leaders Edition: Fewer than 1 in 5

  • Average percentage of datasets that are open in the top 30 open data governments according to ODB Leaders Edition: 19%

  • Average percentage of datasets that are open in the top 30 open data governments according to ODB Leaders Edition by sector/subject:

    • Budget: 30%

    • Companies: 13%

    • Contracts: 27%

    • Crime: 17%

    • Education: 13%

    • Elections: 17%

    • Environment: 20%

    • Health: 17%

    • Land: 7%

    • Legislation: 13%

    • Maps: 20%

    • Spending: 13%

    • Statistics: 27%

    • Trade: 23%

    • Transport: 30%

  • Percentage of countries that release data on government spending according to ODB Leaders Edition: 13%

  • Percentage of government data that is updated at regular intervals according to ODB Leaders Edition: 74%

  • Number of datasets available through:

  • Number of datasets classed as “open” in 94 places worldwide analyzed by the Open Data Index: 11%

  • Percentage of open datasets in the Caribbean, according to Open Data Census: 7%

  • Number of companies whose data is available through OpenCorporates: 158,589,950

City Open Data

  • New York City

  • Singapore

    • Number of datasets published in Singapore: 1,480

    • Percentage of datasets with standardized format: 35%

    • Percentage of datasets made as raw as possible: 25%

  • Barcelona

    • Number of datasets published in Barcelona: 443

    • Open data demand in Barcelona measured by:

      • Number of unique sessions in the month of September 2018: 5,401

    • Quality of datasets published in Barcelona according to Tim Berners Lee 5-star Open Data: 3 stars

  • London

    • Number of datasets published in London: 762

    • Number of data requests since October 2014: 325

  • Bandung

    • Number of datasets published in Bandung: 1,417

  • Buenos Aires

    • Number of datasets published in Buenos Aires: 216

  • Dubai

    • Number of datasets published in Dubai: 267

  • Melbourne

    • Number of datasets published in Melbourne: 199

Sources

  • About OGP, Open Government Partnership. 2018.  

Data Policy in the Fourth Industrial Revolution: Insights on personal data


Report by the World Economic Forum: “Development of comprehensive data policy necessarily involves trade-offs. Cross-border data flows are crucial to the digital economy. The use of data is critical to innovation and technology. However, to engender trust, we need to have appropriate levels of protection in place to ensure privacy, security and safety. Over 120 laws in effect across the globe today provide differing levels of protection for data but few anticipated 

Data Policy in the Fourth Industrial Revolution: Insights on personal data, a paper by the World Economic Forum in collaboration with the Ministry of Cabinet Affairs and the Future, United Arab Emirates, examines the relationship between risk and benefit, recognizing the impact of culture, values and social norms This work is a start toward developing a comprehensive data policy toolkit and knowledge repository of case studies for policy makers and data policy leaders globally….(More)”.

Seven design principles for using blockchain for social impact


Stefaan Verhulst at Apolitical: “2018 will probably be remembered as the bust of the blockchain hype. Yet even as crypto currencies continue to sink in value and popular interest, the potential of using blockchain technologies to achieve social ends remains important to consider but poorly understood.

In 2019, business will continue to explore blockchain for sectors as disparate as finance, agriculture, logistics and healthcare. Policymakers and social innovators should also leverage 2019 to become more sophisticated about blockchain’s real promise, limitations  and current practice.

In a recent report I prepared with Andrew Young, with the support of the Rockefeller Foundation, we looked at the potential risks and challenges of using blockchain for social change — or “Blockchan.ge.” A number of implementations and platforms are already demonstrating potential social impact.

The technology is now being used to address issues as varied as homelessness in New York City, the Rohingya crisis in Myanmar and government corruption around the world.

In an illustration of the breadth of current experimentation, Stanford’s Center for Social Innovation recently analysed and mapped nearly 200 organisations and projects trying to create positive social change using blockchain. Likewise, the GovLab is developing a mapping of blockchange implementations across regions and topic areas; it currently contains 60 entries.

All these examples provide impressive — and hopeful — proof of concept. Yet despite the very clear potential of blockchain, there has been little systematic analysis. For what types of social impact is it best suited? Under what conditions is it most likely to lead to real social change? What challenges does blockchain face, what risks does it pose and how should these be confronted and mitigated?

These are just some of the questions our report, which builds its analysis on 10 case studies assembled through original research, seeks to address.

While the report is focused on identity management, it contains a number of lessons and insights that are applicable more generally to the subject of blockchange.

In particular, it contains seven design principles that can guide individuals or organisations considering the use of blockchain for social impact. We call these the Genesis principles, and they are outlined at the end of this article…(More)”.

Implementing Public Policy: Is it possible to escape the ‘Public Policy Futility’ trap?


Blogpost by Matt Andrews:

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“Polls suggest that governments across the world face high levels of citizen dissatisfaction, and low levels of citizen trust. The 2017 Edelman Trust Barometer found, for instance, that only 43% of those surveyed trust Canada’s government. Only 15% of those surveyed trust government in South Africa, and levels are low in other countries too—including Brazil (at 24%), South Korea (28%), the United Kingdom (36%), Australia, Japan, and Malaysia (37%), Germany (38%), Russia (45%), and the United States (47%). Similar surveys find trust in government averaging only 40-45% across member countries of the Organization for Economic Cooperation and Development (OECD), and suggest that as few as 31% and 32% of Nigerians and Liberians trust government.

There are many reasons why trust in government is deficient in so many countries, and these reasons differ from place to place. One common factor across many contexts, however, is a lack of confidence that governments can or will address key policy challenges faced by citizens.

Studies show that this confidence deficiency stems from citizen observations or experiences with past public policy failures, which promote jaundiced views of their public officials’ capabilities to deliver. Put simply, citizens lose faith in government when they observe government failing to deliver on policy promises, or to ‘get things done’. Incidentally, studies show that public officials also often lose faith in their own capabilities (and those of their organizations) when they observe, experience or participate in repeated policy implementation failures. Put simply, again, these public officials lose confidence in themselves when they repeatedly fail to ‘get things done’.

I call the ‘public policy futility’ trap—where past public policy failure leads to a lack of confidence in the potential of future policy success, which feeds actual public policy failure, which generates more questions of confidence, in a vicious self fulfilling prophecy. I believe that many governments—and public policy practitioners working within governments—are caught in this trap, and just don’t believe that they can muster the kind of public policy responses needed by their citizens.

Along with my colleagues at the Building State Capability (BSC) program, I believe that many policy communities are caught in this trap, to some degree or another. Policymakers in these communities keep coming up with ideas, and political leaders keep making policy promises, but no one really believes the ideas will solve the problems that need solving or produce the outcomes and impacts that citizens need. Policy promises under such circumstances center on doing what policymakers are confident they can actually implement: like producing research and position papers and plans, or allocating inputs toward the problem (in a budget, for instance), or sponsoring visible activities (holding meetings or engaging high profile ‘experts’ for advice), or producing technical outputs (like new organizations, or laws). But they hold back from promising real solutions to real problems, as they know they cannot really implement them (given past political opposition, perhaps, or the experience of seemingly interactable coordination challenges, or cultural pushback, and more)….(More)”.

The global race is on to build ‘City Brains’


Prediction by Geoff Mulgan, Eva Grobbink and Vincent Straub: “The USSR’s launch of the Sputnik 1 satellite in 1958 was a major psychological blow to the United States. The US had believed it was technologically far ahead of its rival, but was confronted with proof that the USSR was pulling ahead in some fields. After a bout of soul-searching the country responded with extraordinary vigour, massively increasing investment in space technologies and promising to put a man on the Moon by the end of the 1960s.

In 2019, China’s success in smart cities could prompt a similar “Sputnik Moment” for the rest of the world. It may not be as dramatic as that of 1958. But unlike beeping satellites and Moon landings, it could be coming to a town near you….

The concept of a “smart city” has been around for several decades, often associated with hype, grandiose failures, and an overemphasis on hardware rather than people (Nesta has previously written on how we can rethink smart cities and ensure digital innovation realises the potential of technology and people). But various technologies are now coming of age which bring the vision of a smart city closer to fruition. China is in the forefront, investing heavily in sensors and infrastructures, and its ET City Brain project shows just how far the country’s thinking has progressed.

First launched in September 2016, ET City Brain is a collaboration between Chinese technology giant Alibaba and several cities. It was first trialled in Hangzhou, the hometown of Alibaba’s executive chairman, Jack Ma, but has since expanded to other Chinese cities. Earlier this year, Kuala Lumpurbecame the first city outside of China to import the ET City Brain model.

The ET City Brain system gathers large amounts of data (including logs, videos, and data stream) from sensors. These are then processed by algorithms in supercomputers and fed back into control centres around the city for administrators to act on—in some cases, automation means the system works without any human intervention at all.

So far, the project has been used to monitor congestion in Hangzhou, improve the response of emergency services in Guangzhou, and detect traffic accidents in Suzhou. In Hangzhou, Alibaba was given control of 104 traffic light junctions in the city’s Xiaoshan district and tasked with managing traffic flows. By combining mass video surveillance with live data from public transportation systems, ET City Brain was able to autonomously change traffic lights so that emergency vehicles could travel to accident scenes without interruption. As a result, arrival times for ambulances improved by 49 percent….(More)”.

Long Live the Human Network Effect


Julia Hobsbawm at Strategy + Business: “Picture the scene. The eyes of the world are on the Tham Luang cave system in Thailand, near the border with Myanmar. Trapped on a rock ledge deep inside is the Wild Boars soccer team of 12 boys and their coach, who had ventured into the caves about two weeks earlier. It is monsoon season. Water is rising and oxygen levels are falling. Not all of the boys can even swim. Time is running out.

Elon Musk proposes building a “kid-sized submarine” to assist the rescue effort. Musk’s solution is politely declined by Thai authorities as “not practical.” In fact, by the time Musk’s sub arrives, most of the boys are already out, alive. One of the most audacious, moving, complex, and successful rescue operations in history relied not on a single technology or hero but on the collaboration of many people, working together in a spontaneous network.

This web of connections came together organically and quickly, unassisted by algorithms, in a unique collaboration led by humans. It was a stunning example of what physicist Albert-László Barabási calls “scale-free networks”: networks that reproduce exponentially by their very nature. The exact same network effects that can be lethal in spreading a virus can be productive — beautiful, even — in creating a web of diverse human skills quickly. Networks, as Barabási puts it, “are everywhere. You just have to look for them.”…

Networks that come together like this and use technology, community, and communications in a timely manner are an example of what the U.N. calls its “leave no one behind” strategy for achieving sustainable development goals. I consider it an example of social health in action: They are the kinds of collaborations that help us live full and productive lives. And in business, there is an exciting opportunity to harness social health and the power of networks to help solve problems.

This kind of social health network, perhaps unsurprisingly, is very visible in innovations in the healthcare sector. A digital health community called The Mighty, for example, is a forum to find information about rare illnesses and connect people facing similar challenges, so that they might learn from the experiences of others. It now has 90 million engagements on its website per month and a new member joins every 20 seconds….(More)”.