Paper by Ayinde Lateef, Funmilola Olubunmi Omotayo: “This article considers information as a strategic asset in the organization just as land,
From Gutenberg to Google: The History of Our Future
Book by Tom Wheeler: “Network revolutions of the past have shaped the present and set the stage for the revolution we are experiencing today
In an era of seemingly instant change, it’s easy to think that today’s revolutions—in communications, business, and many areas of daily life—are unprecedented. Today’s changes may be new and may be happening faster than ever before. But our ancestors at times were just as bewildered by rapid upheavals in what we now call “networks”—the physical links that bind any society together.
In this fascinating book, former FCC chairman Tom Wheeler brings to life the two great network revolutions of the past and uses them to help put in perspective the confusion, uncertainty, and even excitement most people face today. The first big network revolution was the invention of movable-type printing in the fifteenth century. This book, its millions of predecessors, and even such broad trends as the Reformation, the Renaissance, and the multiple scientific revolutions of the past 500 years would not have been possible without that one invention. The second revolution came with the invention of the telegraph early in the nineteenth century. Never before had people been able to communicate over long distances faster than a horse could travel. Along with the development of the world’s first high-speed network—the railroad—the telegraph upended centuries of stability and literally redrew the map of the world.
Wheeler puts these past revolutions into the perspective of
The Big Nine: How The Tech Titans and Their Thinking Machines Could Warp Humanity
Book by Amy Webb:”…A call-to-arms about the broken nature of artificial intelligence, and the powerful corporations that are turning the human-machine relationship on its head. We like to think that we are in control of the future of “artificial” intelligence. The reality, though, is that we–the everyday people whose data powers AI–aren’t actually in control of anything. When, for example, we speak with Alexa, we contribute that data to a system we can’t see and have no input into–one largely free from regulation or oversight. The big nine corporations–Amazon, Google, Facebook, Tencent, Baidu, Alibaba, Microsoft, IBM
In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI–the people working on the system, their motivations, the technology itself–is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don’t share our motivations, desires, or hopes for the future of humanity.
Much more than a passionate, human-centered call-to-arms, this book delivers a strategy for changing
Assessing the Legitimacy of “Open” and “Closed” Data Partnerships for Sustainable Development
EU negotiators agree on new rules for sharing of public sector data
European Commission Press Release: “Negotiators from the European Parliament, the Council of the EU and the Commission have reached an agreement on a revised directive that will facilitate the availability and re-use of public sector data.
Data is the fuel that drives the growth of many digital products and services. Making sure that high-quality, high-value data from publicly funded services is widely and freely available is a key factor in accelerating European innovation in highly competitive fields such as artificial intelligence requiring access to vast amounts of high-quality data.
In full compliance with the EU General Data Protection Regulation, the new Directive on Open Data and Public Sector Information (PSI) – which can be for example anything from anonymised personal data on household energy use to general information about national education or literacy levels – updates the framework setting out the conditions under which public sector data should be made available for re-use, with a particular focus on the increasing amounts of high-value data that is now available.
Vice-President for the Digital Single Market Andrus Ansip said: “Data is increasingly the lifeblood of today’s economy and unlocking the potential of public open data can bring significant economic benefits. The total direct economic value of public sector information and data from public undertakings is expected to increase from €52 billion in 2018 to €194 billion by 2030. With these new rules in place, we will ensure that we can make the most of this growth”
Commissioner for Digital Economy and Society Mariya Gabriel said: “Public sector information has already been paid for by the taxpayer. Making it more open for re-use benefits the European data economy by enabling new innovative products and services, for example based on artificial intelligence technologies. But beyond the economy, open data from the public sector is also important for our democracy and society because it increases transparency and supports a facts-based public debate.”
As part of the EU Open Data policy, rules are in place to encourage Member States to facilitate the re-use of data from the public sector with minimal or no legal, technical and financial constraints. But the digital world has changed dramatically since they were first introduced in 2003.
What do the new rules cover?
- All public sector content that can be accessed under national access to documents rules is in principle freely available for re-use. Public sector bodies will not be able to charge more than the marginal cost for the re-use of their data, except in very limited cases. This will allow more SMEs and start-ups to enter new markets in providing data-based products and services.
- A particular focus will be placed on high-value datasets such as statistics or geospatial data. These datasets have
a high commercialpotential, and can speed up the emergence of a wide variety of value-added information products and services. - Public service companies in the transport and
utilities sector generate valuable data. The decision on whether or not their data has to be made available is covered by different national or European rules, but when their data is available for re-use, they will now be covered by the Open Data and Public Sector Information Directive. This means they will have to comply with the principles of the Directive and ensure the use of appropriate data formats and dissemination methods, while still being able to set reasonable charges to recover related costs. - Some public bodies strike complex data deals with private companies, which can potentially lead to public sector information being ‘locked in’. Safeguards will
therefore be put in place to reinforce transparency and to limit the conclusion of agreements which could lead to exclusive re-use of public sector data by private partners. - More real-time data, available via Application Programming Interfaces (APIs), will allow companies, especially start-ups, to develop innovative products and services, e.g. mobility apps. Publicly-funded research data is also being brought into the scope of the directive:
Member States will be required to develop policies for open access to publicly funded research data whileharmonised rules on re-use will be applied to all publicly-funded research data which is made accessible via repositories….(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
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Direct market value of open data in EU from 2016 to 2020: estimated EUR 325 billion
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Predicted number of Open Data jobs in Europe by 2020: 100,000 (35% increase)
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The projected year at which all 28+ EU member countries will have a fully operating open data portal: 2020
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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
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Estimated cost savings for public administration in the EU by 2020: EUR 1.7 billion
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2013 estimates of potential value of global open data, as estimated by McKinsey: $3 trillion annually
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Potential yearly value for the United States: $1.1 trillion
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Europe: $900 billion
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Rest of the world: $1.7 trillion
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Potential yearly value of open data in Australia: AUD 25 billion
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Value of Transport for London open data projects: £115 million per year
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Value that open data can help unlock in economic value annually across seven sectors in the United States: $3-5 trillion
Public Views on and Use of Open Government Data
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Number of Americans who do not trust the federal government or social media sites to protect their data: Approximately 50%
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Key findings from The Economist Intelligence Unit report on Open Government Data Demand:
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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%
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Percentage of respondents who say OGD plays an important role in improving lives of citizens: 78%
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Percentage of respondents who say OGD helps with daily decision making especially for transportation, education, environment: 53%
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Percentage of respondents who cite lack of awareness about OGD and its potential use and benefits as the greatest barrier to usage: 50%
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Percentage of respondents who say they lack access to usable and relevant data: 31%
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Percentage of respondents who think they don’t have sufficient technical skills to use open government data: 25%
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Percentage of respondents who feel the number of OGD apps available is insufficient, indicating an opportunity for app developers: 20%
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Percentage of respondents who say OGD has the potential to generate economic value and new business opportunity: 61%
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Percentage of respondents who say they don’t trust governments to keep data safe, protected, and anonymized: 19%
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Efforts and Involvement
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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
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Countries participating in the Open Government Partnership today: 79 OGP participating countries and 20 subnational governments
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Percentage of “open data readiness” in Europe according to European Data Portal: 72%
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Open data readiness consists of four indicators which are presence of policy, national coordination, licensing norms, and use of data.
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Number of U.S. cities with Open Data portals: 27
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Number of governments who have adopted the International Open Data Charter: 62
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Number of non-state organizations endorsing the International Open Data Charter: 57
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Number of countries analyzed by the Open Data Index: 94
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Number of Latin American countries that do not have open data portals as of 2017: 4 total – Belize, Guatemala, Honduras and Nicaragua
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Number of cities participating in the Open Data Census: 39
Demand for Open Data
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Open data demand measured by frequency of open government data use according to The Economist Intelligence Unit report:
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Australia
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Monthly: 15% of respondents
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Quarterly: 22% of respondents
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Annually: 10% of respondents
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Finland
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Monthly: 28% of respondents
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Quarterly: 18% of respondents
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Annually: 20% of respondents
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France
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Monthly: 27% of respondents
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Quarterly: 17% of respondents
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Annually: 19% of respondents
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India
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Monthly: 29% of respondents
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Quarterly: 20% of respondents
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Annually: 10% of respondents
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Singapore
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Monthly: 28% of respondents
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Quarterly: 15% of respondents
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Annually: 17% of respondents
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UK
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Monthly: 23% of respondents
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Quarterly: 21% of respondents
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Annually: 15% of respondents
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US
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Monthly: 16% of respondents
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Quarterly: 15% of respondents
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Annually: 20% of respondents
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Number of FOIA requests received in the US for fiscal year 2017: 818,271
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Number of FOIA request processed in the US for fiscal year 2017: 823,222
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Distribution of FOIA requests in 2017 among top 5 agencies with highest number of request:
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DHS: 45%
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DOJ: 10%
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NARA: 7%
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DOD: 7%
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HHS: 4%
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Examining Datasets
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Country with highest index score according to ODB Leaders Edition: Canada (76 out of 100)
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Country with lowest index score according to ODB Leaders Edition: Sierra Leone (22 out of 100)
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Number of datasets open in the top 30 governments according to ODB Leaders Edition: Fewer than 1 in 5
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Average percentage of datasets that are open in the top 30 open data governments according to ODB Leaders Edition: 19%
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Average percentage of datasets that are open in the top 30 open data governments according to ODB Leaders Edition by sector/subject:
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Budget: 30%
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Companies: 13%
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Contracts: 27%
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Crime: 17%
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Education: 13%
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Elections: 17%
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Environment: 20%
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Health: 17%
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Land: 7%
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Legislation: 13%
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Maps: 20%
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Spending: 13%
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Statistics: 27%
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Trade: 23%
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Transport: 30%
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Percentage of countries that release data on government spending according to ODB Leaders Edition: 13%
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Percentage of government data that is updated at regular intervals according to ODB Leaders Edition: 74%
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Number of datasets available through:
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Number of datasets classed as “open” in 94 places worldwide analyzed by the Open Data Index: 11%
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Percentage of open datasets in the Caribbean, according to Open Data Census: 7%
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Number of companies whose data is available through OpenCorporates: 158,589,950
City Open Data
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New York City
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Number of datasets available through NYC Open Data: 2170
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New datasets published in New York City for fiscal year 2018: 629 (2,000+ in total)
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Number of automated datasets in New York City for fiscal year 2018: 246 (38 new datasets added)
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Open data demand in New York City in fiscal year 2018 measured by:
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Unique users: 1,000,000+
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Requests by application: 550+ million
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Singapore
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Barcelona
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London
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Bandung
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Number of datasets published in Bandung: 1,417
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Buenos Aires
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Number of datasets published in Buenos Aires: 216
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Dubai
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Number of datasets published in Dubai: 267
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Melbourne
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Number of datasets published in Melbourne: 199
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Sources
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About OGP, Open Government Partnership. 2018.
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Analytical Report no. 9: The Economic Benefits of Open Data, European Data Portal, 2017.
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Creating Value through Open Data: Study on the Impact of Re-use of Public Data Resources, European Data Portal. 2015.
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European Data Portal Datasets, European Data Portal.
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Find Open Data, UK Government Data.
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Global Open Data Index: Dataset Overview, Open Knowledge International.
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Global Open Data Index: Place Overview, Open Knowledge International.
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Local Data Catalog, DATA.GOV.
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Many Americans do not trust modern institutions to protect their personal data – even as they frequently neglect cybersecurity best practices in their own personal lives, Pew Research Center – Internet and Technology. 2017.
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NYC Open Data, City of New York, 2018.
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Open Data Barometer, World Wide Web Foundation. 2017.
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Open Data Barometer 4th Edition, World Wide Web Foundation, 2017.
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Open Data Barometer Leaders Edition: From Promise to Progress, World Wide Web Foundation. 2018.
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Open Data for All Report, NYC DoITT, 2018.
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Open data service of the Barcelona City Council, City of Barcelona.
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Open Data in Europe, European Data Portal. 2018.
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Open Government Data: Assessing demand around the world, The Economist Intelligence Unit. 2017.
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“Policy in the Data Age: Data Enablement for the Common Good.” Karim Tadjeddine and Martin Lundqvist. McKinsey and Company. August 2016.
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Search Data, Australian Government.
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Singapore Open Data Portal, Singaporean Government.
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Starting an Open Data Initiative, The World Bank.
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Summary of Annual FOIA Reports for Fiscal Year 2017, US Department of Justice. 2017.
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The home of the U.S. Government’s Open Data, DATA.GOV, 2018.
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The Open Database of the Corporate World, Opencorporates. 2018.
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The State of Open Data Portals in Latin America. Center for Data Innovation, 2017.
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Tracking the State of Open Government Data, Open Knowledge International.
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U.S. ranks 4th in open data, with leadership by cities and states helping support the numbers, Statescoop. 2017.
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What is the Open Data Survey? Open Data Census.
Selling Smartness: Corporate Narratives and the Smart City as a Sociotechnical Imaginary
Furthermore, we argue that IBM and Cisco construct smart urbanism as both a reactionary and visionary force, plotting a model of the near future, but one that largely reflects and reinforces existing sociopolitical systems. We conclude by suggesting that breaking IBM’s and Cisco’s discursive dominance over the smart city imaginary requires us to reimagine what smart urbanism means and create counter-narratives that open up space for alternative values, designs, and models….(More)”.
Seven design principles for using blockchain for social impact
Stefaan Verhulst at Apolitical: “2018 will probably be remembered as the
In 2019, business will continue to explore blockchain for sectors as disparate as finance, agriculture, logistics
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
The Rise of Knowledge Economics
Cesar Hidalgo at Scientific American: “Nearly 30 years ago, Paul Romer published a paper exploring the economic value of knowledge. In that paper, he argued that, unlike the classical factors of production (capital and labor), knowledge was a “non-rival good.” This meant that it could be shared infinitely, and thus, it was the only thing that could grow in per-capita terms.
Romer’s work was recently recognized with the Nobel Prize, even though it was just the beginning of a longer story. Knowledge could be infinitely shared, but did that mean it could go everywhere? Soon after Romer’s seminal paper, Adam Jaffe, Manuel Trajtenberg and Rebecca Henderson published a paper on the geographic diffusion of knowledge. Using a statistical technique called matching, they identified a “twin” for each patent (that is, a patent filed at the same time and making similar technological claims).
Then, they compared the citations received by each patent and its twin. Compared to their twins, patents received almost four more citations from other patents originating in the same city than those originating elsewhere. Romer was right in that knowledge could be infinitely shared, but also, knowledge had difficulties
What will the study of knowledge bring us next? Will we get to a point at which we will measure Gross Domestic Knowledge as accurately as we measure Gross Domestic Product? Will we learn how to engineer knowledge diffusion? Will knowledge continue to concentrate in cities? Or will it finally break the shackles of society and spread to every corner of the world? The only thing we know for sure is that the study of knowledge is an exciting journey. The lowest hanging fruit may have already been picked, but the tree is still filled with fruits and flavors. Let’s climb it and explore…
Fostering innovation in public procurement through public private partnerships
Paper by Nunzia Carbonara in the Journal of Public Procurement: “The prevailing view in the studies on
With this aim, drawing upon the main streams of studies on innovation, the authors develop a conceptual framework that identifies the PPP features that can influence the innovativeness. Second, they define how these PPP features have to be structured to foster innovation.
The authors find that a wider involvement of the private sector will increase the level of innovation. The industry structure exerts opposite forces on innovation: the dominance of large-sized firms is positively related to innovative output, whereas the market concentration negatively affects innovation. Performance-based contracts should be used in the context of PPP instead of traditional contracts. Finally, the authors find that, to fully exploit the networking effects on innovation, cooperation and