RegData

Curated on Posted on by Stefaan Verhulst

“RegData, developed by Patrick A. McLaughlin, Omar Al-Ubaydli, and the Mercatus Center at George Mason University, improves dramatically on the existing methods used to quantify regulations. Previous efforts to assess the extent of regulation in the United States have used imprecise variables such as the number of pages published in the Federal Register or the number of new rules created annually. However, not all regulations are equal in their effects on the economy or on different sectors of the economy. One page of regulatory text is often quite different from another page in content and consequence.
RegData improves upon existing metrics of regulation in three principal ways:

  1. RegData provides a novel measure that quantifies regulations based on the actual content of regulatory text. In other words, RegData examines the regulatory text itself, counting the number of binding constraints or “restrictions”—words that indicate an obligation to comply, such as “shall” or “must.” This is important because some regulatory programs can be hundreds of pages long with relatively few restrictions, while others only have a few paragraphs with a relatively high number of restrictions.
  2. RegData quantifies regulation by industry. It uses the same industry classes as the North American Industrial Classification System (NAICS), which categorizes and describes each industry in the US economy. Using industry-specific quantifications of regulation, users can examine the growth of regulation relevant to a particular industry over time or compare growth rates across industries.
    There are several potential uses of a tool that measures regulation relevant to specific industries. Both the causes and consequences of regulation are likely to differ from one industry to the next, and by quantifying regulations for all industries, individuals can test whether industry characteristics, such as dynamism, unionization, or a penchant for lobbying, are correlated with industry-specific regulation levels.
    For example, if someone wanted to know whether high unionization rates are correlated with heavy regulation, the person could compare RegData’s measure of industry-specific regulation for highly unionized industries to industries with little to no unionization.
  3. *NEW* RegData 2.0 provides the user with the ability to quantify the regulation that specific federal regulators (including agencies, offices, bureaus, commissions, or administrations) have produced. For example, a user can now see how many restrictions a specific administration of the Department of Transportation (e.g., the National Highway Traffic Safety Administration) has produced in each year.”

Bloomberg Philanthropies Announces Major New Investment In City Halls' Capacity To Innovate

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Press Release: “Bloomberg Philanthropies today announced a new $45 million investment to boost the capacity of city halls to use innovation to tackle major challenges and improve urban life. The foundation will direct significant funding and other assistance to help dozens of cities adopt the Innovation Delivery model, an approach to generating and implementing new ideas that has been tested and refined over the past three years in partnership with city leaders in Atlanta, Chicago, Louisville, Memphis, and New Orleans. …

The foundation has invited over 80 American cities to apply for Innovation Delivery grants. Eligible cities have at least 100,000 residents and mayors with at least two years left in office. Grantees will be selected in the fall. They will receive from $250,000 to $1,000,000 annually over three years, as well as implementation support and peer-to-peer learning opportunities. Newly formed Innovation Delivery Teams will hit the ground running in each city no later than spring 2015.
Innovation Delivery Teams use best-in-class idea generation techniques with a structured, data-driven approach to delivering results. Operating as an in-house innovation consultancy, they have enabled mayors in the original five cities to produce clear results, such as:

  • New Orleans reduced murder in 2013 by 19% compared to the previous year, resulting in the lowest number of murders in New Orleans since 1985.
  • Memphis reduced retail vacancy rates by 30% along key commercial corridors.
  • Louisville redirected 26% of low-severity 911 medical calls to a doctor’s office or immediate care center instead of requiring an ambulance trip to the emergency room.
  • Chicago cut the licensing time for new restaurants by 33%; more than 1,000 new restaurants have opened since the Team began its work.
  • Atlanta moved 1,022 chronically homeless individuals into permanent housing, quickly establishing itself as a national leader.

“Innovation Delivery has been an essential part of our effort to bring innovation, efficiency and improved services to our customers,” said Louisville Mayor Greg Fischer. “Philanthropy can play an important role in expanding the capacity of cities to deliver better, bolder results. Bloomberg Philanthropies is one of few foundations investing in this area, and it has truly been a game changer for our city.”
In addition to direct investments in cities, Bloomberg Philanthropies will fund technical assistance, research and evaluation, and partnerships with organizations to further spread the Innovation Delivery approach. The Innovation Delivery Playbook, which details the approach and some experiences of the original cities with which Bloomberg Philanthropies partnered, is available at: www.bloomberg.org …”

Technology’s Crucial Role in the Fight Against Hunger

Curated on Posted on by Stefaan Verhulst

Crowdsourcing, predictive analytics and other new tools could go far toward finding innovative solutions for America’s food insecurity.

National Geographic recently sent three photographers to explore hunger in the United States. It was an effort to give a face to a very troubling statistic: Even today, one-sixth of Americans do not have enough food to eat. Fifty million people in this country are “food insecure” — having to make daily trade-offs among paying for food, housing or medical care — and 17 million of them skip at least one meal a day to get by. When choosing what to eat, many of these individuals must make choices between lesser quantities of higher-quality food and larger quantities of less-nutritious processed foods, the consumption of which often leads to expensive health problems down the road.
This is an extremely serious, but not easily visible, social problem. Nor does the challenge it poses become any easier when poorly designed public-assistance programs continue to count the sauce on a pizza as a vegetable. The deficiencies caused by hunger increase the likelihood that a child will drop out of school, lowering her lifetime earning potential. In 2010 alone, food insecurity cost America $167.5 billion, a figure that includes lost economic productivity, avoidable health-care expenses and social-services programs.
As much as we need specific policy innovations, if we are to eliminate hunger in America food insecurity is just one of many extraordinarily complex and interdependent “systemic” problems facing us that would benefit from the application of technology, not just to identify innovative solutions but to implement them as well. In addition to laudable policy initiatives by such states as Illinois and Nevada, which have made hunger a priority, or Arkansas, which suffers the greatest level of food insecurity but which is making great strides at providing breakfast to schoolchildren, we can — we must — bring technology to bear to create a sustained conversation between government and citizens to engage more Americans in the fight against hunger.

Identifying who is genuinely in need cannot be done as well by a centralized government bureaucracy — even one with regional offices — as it can through a distributed network of individuals and organizations able to pinpoint with on-the-ground accuracy where the demand is greatest. Just as Ushahidi uses crowdsourcing to help locate and identify disaster victims, it should be possible to leverage the crowd to spot victims of hunger. As it stands, attempts to eradicate so-called food deserts are often built around developing solutions for residents rather than with residents. Strategies to date tend to focus on the introduction of new grocery stores or farmers’ markets but with little input from or involvement of the citizens actually affected.

Applying predictive analytics to newly available sources of public as well as private data, such as that regularly gathered by supermarkets and other vendors, could also make it easier to offer coupons and discounts to those most in need. In addition, analyzing nonprofits’ tax returns, which are legally open and available to all, could help map where the organizations serving those in need leave gaps that need to be closed by other efforts. The Governance Lab recently brought together U.S. Department of Agriculture officials with companies that use USDA data in an effort to focus on strategies supporting a White House initiative to use climate-change and other open data to improve food production.

Such innovative uses of technology, which put citizens at the center of the service-delivery process and streamline the delivery of government support, could also speed the delivery of benefits, thus reducing both costs and, every bit as important, the indignity of applying for assistance.

Being open to new and creative ideas from outside government through brainstorming and crowdsourcing exercises using social media can go beyond simply improving the quality of the services delivered. Some of these ideas, such as those arising from exciting new social-science experiments involving the use of incentives for “nudging” people to change their behaviors, might even lead them to purchase more healthful food.

Further, new kinds of public-private collaborative partnerships could create the means for people to produce their own food. Both new kinds of financing arrangements and new apps for managing the shared use of common real estate could make more community gardens possible. Similarly, with the kind of attention, convening and funding that government can bring to an issue, new neighbor-helping-neighbor programs — where, for example, people take turns shopping and cooking for one another to alleviate time away from work — could be scaled up.

Then, too, advances in citizen engagement and oversight could make it more difficult for lawmakers to cave to the pressures of lobbying groups that push for subsidies for those crops, such as white potatoes and corn, that result in our current large-scale reliance on less-nutritious foods. At the same time, citizen scientists reporting data through an app would be able do a much better job than government inspectors in reporting what is and is not working in local communities.

As a society, we may not yet be able to banish hunger entirely. But if we commit to using new technologies and mechanisms of citizen engagement widely and wisely, we could vastly reduce its power to do harm.

Cell Phone Guide For US Protesters, Updated 2014 Edition

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EFF: “With major protests in the news again, we decided it’s time to update our cell phone guide for protestors. A lot has changed since we last published this report in 2011, for better and for worse. On the one hand, we’ve learned more about the massive volume of law enforcement requests for cell phone—ranging from location information to actual content—and widespread use of dedicated cell phone surveillance technologies. On the other hand, strong Supreme Court opinions have eliminated any ambiguity about the unconstitutionality of warrantless searches of phones incident to arrest, and a growing national consensus says location data, too, is private.”

Monitoring Arms Control Compliance With Web Intelligence

Curated on Posted on by Stefaan Verhulst

Chris Holden and Maynard Holliday at Commons Lab: “Traditional monitoring of arms control treaties, agreements, and commitments has required the use of National Technical Means (NTM)—large satellites, phased array radars, and other technological solutions. NTM was a good solution when the treaties focused on large items for observation, such as missile silos or nuclear test facilities. As the targets of interest have shrunk by orders of magnitude, the need for other, more ubiquitous, sensor capabilities has increased. The rise in web-based, or cloud-based, analytic capabilities will have a significant influence on the future of arms control monitoring and the role of citizen involvement.
Since 1999, the U.S. Department of State has had at its disposal the Key Verification Assets Fund (V Fund), which was established by Congress. The Fund helps preserve critical verification assets and promotes the development of new technologies that support the verification of and compliance with arms control, nonproliferation, and disarmament requirements.
Sponsored by the V Fund to advance web-based analytic capabilities, Sandia National Laboratories, in collaboration with Recorded Future (RF), synthesized open-source data streams from a wide variety of traditional and nontraditional web sources in multiple languages along with topical texts and articles on national security policy to determine the efficacy of monitoring chemical and biological arms control agreements and compliance. The team used novel technology involving linguistic algorithms to extract temporal signals from unstructured text and organize that unstructured text into a multidimensional structure for analysis. In doing so, the algorithm identifies the underlying associations between entities and events across documents and sources over time. Using this capability, the team analyzed several events that could serve as analogs to treaty noncompliance, technical breakout, or an intentional attack. These events included the H7N9 bird flu outbreak in China, the Shanghai pig die-off and the fungal meningitis outbreak in the United States last year.
h7n9-for-blog
 
For H7N9 we found that open source social media were the first to report the outbreak and give ongoing updates.  The Sandia RF system was able to roughly estimate lethality based on temporal hospitalization and fatality reporting.  For the Shanghai pig die-off the analysis tracked the rapid assessment by Chinese authorities that H7N9 was not the cause of the pig die-off as had been originally speculated. Open source reporting highlighted a reduced market for pork in China due to the very public dead pig display in Shanghai. Possible downstream health effects were predicted (e.g., contaminated water supply and other overall food ecosystem concerns). In addition, legitimate U.S. food security concerns were raised based on the Chinese purchase of the largest U.S. pork producer (Smithfield) because of a fear of potential import of tainted pork into the United States….
To read the full paper, please click here.”

The infrastructure Africa really needs is better data reporting

Curated on Posted on by Stefaan Verhulst

Nikhil Sonnad at Quartz: “This week African leaders met with officials in Washington and agreed to billions of dollars of US investments and infrastructure deals. But the terrible state of statistical reporting in most of Africa means that it will be nearly impossible to gauge how effective these deals are at making Africans, or the American investors, better off.

Data reporting on the continent is sketchy. Just look at the recent GDP revisions of large countries. How is it that Nigeria’s April GDP recalculation catapulted it ahead of South Africa, making it the largest economy in Africa overnight? Or that Kenya’s economy is actually 20% larger (paywall) than previously thought?

Indeed, countries in Africa get noticeably bad scores on the World Bank’s Bulletin Board on Statistical Capacity, an index of data reporting integrity.

Bad data is not simply the result of inconsistencies or miscalculations: African governments have an incentive to produce statistics that overstate their economic development.

A recent working paper from the Center for Global Development (CGD) shows how politics influence the statistics released by many African countries…

But in the long run, dodgy statistics aren’t good for anyone. They “distort the way we understand the opportunities that are available,” says Amanda Glassman, one of the CGD report’s authors. US firms have pledged $14 billion in trade deals at the summit in Washington. No doubt they would like to know whether high school enrollment promises to create a more educated workforce in a given country, or whether its people have been immunized for viruses.

Overly optimistic indicators also distort how a government decides where to focus its efforts. If school enrollment appears to be high, why implement programs intended to increase it?

The CGD report suggests increased funding to national statistical agencies, and making sure that they are wholly independent from their governments. President Obama is talking up $7 billion into African agriculture. But unless cash and attention are given to improving statistical integrity, he may never know whether that investment has borne fruit”

The Emergence of Government Innovation Teams

Curated on Posted on by Stefaan Verhulst

Hollie Russon Gilman at TechTank: “A new global currency is emerging.  Governments understand that people at home and abroad evaluate them based on how they use technology and innovative approaches in their service delivery and citizen engagement.  This raises opportunities, and critical questions about the role of innovation in 21st century governance.
Bloomberg Philanthropies and Nesta, the UK’s Innovation foundation, recently released a global report highlighting 20 government innovation teams.  Importantly, the study included teams that were established and funded by all levels of government (city, regional and national), and aims to find creative solutions to seemingly intractable solutions. This report features 20 teams across six continents and features some basic principles and commonalities that are instructive for all types of innovators, inside and outside, of government.
Using Government to Locally Engage
One of the challenges of representational democracy is that elected officials and government officials spend time in bureaucracies isolated from the very people they aim to serve.  Perhaps there can be different models.  For example, Seoul’s Innovation Bureau is engaging citizens to re-design and re-imagine public services.  Seoul is dedicated to becoming a Sharing City; including Tool Kit Centers where citizens can borrow machinery they would rarely use that would also benefit the whole community. This approach puts citizens at the center of their communities and leverages government to work for the people…
As I’ve outlined in a earlier TechTank post, there are institutional constraints for governments to try the unknown.  There are potential electoral costs, greater disillusionment, and gaps in vital service delivery. Yet, despite all of these barriers there are a variety of promising tools. For example, Finland has Sitra, an Innovation fund, whose mission is to foster experimentation to transform a diverse set of policy issues including sustainable energy and healthcare. Sitra invests in both the practical research and experiments to further public sector issues as well as invest in early stage companies.
We need a deeper understanding of the opportunities, and challenges, of innovation in government.    Luckily there are many researchers, think-tanks, and organizations beginning analysis.  For example, Professor and Associate Dean Anita McGahan, of the Rotman School of Management at the University of Toronto, calls for a more strategic approach toward understanding the use of innovation, including big data, in the public sector…”

The Data Act's unexpected benefit

Curated on Posted on by Stefaan Verhulst

Adam Mazmanian at FCW: “The Digital Accountability and Transparency Act sets an aggressive schedule for creating governmentwide financial standards. The first challenge belongs to the Treasury Department and the Office of Management and Budget. They must come up with a set of common data elements for financial information that will cover just about everything the government spends money on and every entity it pays in order to give oversight bodies and government watchdogs a top-down view of federal spending from appropriation to expenditure. Those data elements are scheduled for completion by May 2015, one year after the act’s passage.
Two years after those standards are in place, agencies will be required to report their financial information following Data Act guidelines. The government currently supports more than 150 financial management systems but lacks a common data dictionary, so there are not necessarily agreed-upon definitions of how to classify and track government programs and types of expenditures.
“As far as systems today and how we can get there, they don’t necessarily map in the way that the act described,” U.S. CIO Steven VanRoekel said in June. “It’s going to be a journey to get to where the act aspires for us to be.”
However, an Obama administration initiative to encourage agencies to share financial services could be part of the solution. In May, OMB and Treasury designated four financial shared-services providers for government agencies: the Agriculture Department’s National Finance Center, the Interior Department’s Interior Business Center, the Transportation Department’s Enterprise Services Center and Treasury’s Administrative Resource Center.
There are some synergies between shared services and data standardization, but shared financial services alone will not guarantee Data Act compliance, especially considering that the government expects the migration to take 10 to 15 years. Nevertheless, the discipline required under the Data Act could boost agency efforts to prepare financial data when it comes time to move to a shared service….”

Fifteen open data insights

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Tim Davies from ODRN: “…below are the 15 points from the three-page briefing version, and you can find a full write-up of these points for download. You can also find reports from all the individual project partners, including a collection of quick-read research posters over on the Open Data Research Network website.

15 insights into open data supply, use and impacts

(1) There are many gaps to overcome before open data availability, can lead to widespread effective use and impact. Open data can lead to change through a ‘domino effect’, or by creating ripples of change that gradually spread out. However, often many of the key ‘domino pieces’ are missing, and local political contexts limit the reach of ripples. Poor data quality, low connectivity, scarce technical skills, weak legal frameworks and political barriers may all prevent open data triggering sustainable change. Attentiveness to all the components of open data impact is needed when designing interventions.
(2) There is a frequent mismatch between open data supply and demand in developing countries. Counting datasets is a poor way of assessing the quality of an open data initiative. The datasets published on portals are often the datasets that are easiest to publish, not the datasets most in demand. Politically sensitive datasets are particularly unlikely to be published without civil society pressure. Sometimes the gap is on the demand side – as potential open data users often do not articulate demands for key datasets.
(3) Open data initiatives can create new spaces for civil society to pursue government accountability and effectiveness. The conversation around transparency and accountability that ideas of open data can support is as important as the datasets in some developing countries.
(4) Working on open data projects can change how government creates, prepares and uses its own data. The motivations behind an open data initiative shape how government uses the data itself. Civil society and entrepreneurs interacting with government through open data projects can help shape government data practices. This makes it important to consider which intermediaries gain insider roles shaping data supply.
(5) Intermediaries are vital to both the supply and the use of open data. Not all data needed for governance in developing countries comes from government. Intermediaries can create data, articulate demands for data, and help translate open data visions from political leaders into effective implementations. Traditional local intermediaries are an important source of information, in particular because they are trusted parties.
(6) Digital divides create data divides in both the supply and use of data. In some developing countries key data is not digitised, or a lack of technical staff has left data management patchy and inconsistent. Where Internet access is scarce, few citizens can have direct access to data or services built with it. Full access is needed for full empowerment, but offline intermediaries, including journalists and community radio stations, also play a vital role in bridging the gaps between data and citizens.
(7) Where information is already available and used, the shift to open data involves data evolution rather than data revolution. Many NGOs and intermediaries already access the information which is now becoming available as data. Capacity building should start from existing information and data practices in organisations, and should look for the step-by-step gains to be made from a data-driven approach.
(8) Officials’ fears about the integrity of data are a barrier to more machine-readable data being made available. The publication of data as PDF or in scanned copies is often down to a misunderstanding of how open data works. Only copies can be changed, and originals can be kept authoritative. Helping officials understand this may help increase the supply of data.
(9) Very few datasets are clearly openly licensed, and there is low understanding of what open licenses entail. There are mixed opinions on the importance of a focus on licensing in different contexts. Clear licenses are important to building a global commons of interoperable data, but may be less relevant to particular uses of data on the ground. In many countries wider conversation about licensing are yet to take place.
(10) Privacy issues are not on the radar of most developing country open data projects, although commercial confidentiality does arise as a reason preventing greater data transparency. Much state held data is collected either from citizens or from companies. Few countries in the ODDC study have weak or absent privacy laws and frameworks, yet participants in the studies raised few personal privacy considerations. By contrast, a lack of clarity, and officials’ concerns, about potential breaches of commercial confidentiality when sharing data gathered from firms was a barrier to opening data.
(11) There is more to open data than policies and portals. Whilst central open data portals act as a visible symbol of open data initiatives, a focus on portal building can distract attention from wider reforms. Open data elements can also be built on existing data sharing practices, and data made available through the locations where citizens, NGOs are businesses already go to access information.
(12) Open data advocacy should be aware of, and build upon, existing policy foundations in specific countries and sectors. Sectoral transparency policies for local government, budget and energy industry regulation, amongst others, could all have open data requirements and standards attached, drawing on existing mechanisms to secure sustainable supplies of relevant open data in developing countries. In addition, open data conversations could help make existing data collection and disclosure requirements fit better with the information and data demands of citizens.
(13) Open data is not just a central government issue: local government data, city data, and data from the judicial and legislative branches are all important. Many open data projects focus on the national level, and only on the executive branch. However, local government is closer to citizens, urban areas bring together many of the key ingredients for successful open data initiatives, and transparency in other branches of government is important to secure citizens democratic rights.
(14) Flexibility is needed in the application of definitions of open data to allow locally relevant and effective open data debates and advocacy to emerge. Open data is made up of various elements, including proactive publication, machine-readability and permissions to re-use. Countries at different stages of open data development may choose to focus on one or more of these, but recognising that adopting all elements at once could hinder progress. It is important to find ways to both define open data clearly, and to avoid a reductive debate that does not recognise progressive steps towards greater openness.
(15) There are many different models for an open data initiative: including top-down, bottom-up and sector-specific. Initiatives may also be state-led, civil society-led and entrepreneur-led in their goals and how they are implemented – with consequences for the resources and models required to make them sustainable. There is no one-size-fits-all approach to open data. More experimentation, evaluation and shared learning on the components, partners and processes for putting open data ideas into practice must be a priority for all who want to see a world where open-by-default data drives real social, political and economic change.
You can read more about each of these points in the full report.”

Selected Readings on Economic Impact of Open Data

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The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of open data was originally published in 2014.

Open data is publicly available data – often released by governments, scientists, and occasionally private companies – that is made available for anyone to use, in a machine-readable format, free of charge. Considerable attention has been devoted to the economic potential of open data for businesses and other organizations, and it is now widely accepted that open data plays an important role in spurring innovation, growth, and job creation. From new business models to innovation in local governance, open data is being quickly adopted as a valuable resource at many levels.

Measuring and analyzing the economic impact of open data in a systematic way is challenging, and governments as well as other providers of open data seek to provide access to the data in a standardized way. As governmental transparency increases and open data changes business models and activities in many economic sectors, it is important to understand best practices for releasing and using non-proprietary, public information. Costs, social challenges, and technical barriers also influence the economic impact of open data.

These selected readings are intended as a first step in the direction of answering the question of if we can and how we consider if opening data spurs economic impact.

Selected Reading List (in alphabetical order)

Annotated Selected Reading List (in alphabetical order)

Bonina, Carla. New Business Models and the Values of Open Data: Definitions, Challenges, and Opportunities. NEMODE 3K – Small Grants Call 2013. http://bit.ly/1xGf9oe

  • In this paper, Dr. Carla Bonina provides an introduction to open data and open data business models, evaluating their potential economic value and identifying future challenges for the effectiveness of open data, such as personal data and privacy, the emerging data divide, and the costs of collecting, producing and releasing open (government) data.

Carpenter, John and Phil Watts. Assessing the Value of OS OpenData™ to the Economy of Great Britain – Synopsis. June 2013. Accessed July 25, 2014. http://bit.ly/1rTLVUE

  • John Carpenter and Phil Watts of Ordnance Survey undertook a study to examine the economic impact of open data to the economy of Great Britain. Using a variety of methods such as case studies, interviews, downlad analysis, adoption rates, impact calculation, and CGE modeling, the authors estimates that the OS OpenData initiative will deliver a net of increase in GDP of £13 – 28.5 million for Great Britain in 2013.

Capgemini Consulting. The Open Data Economy: Unlocking Economic Value by Opening Government and Public Data. Capgemini Consulting. Accessed July 24, 2014. http://bit.ly/1n7MR02

  • This report explores how governments are leveraging open data for economic benefits. Through using a compariative approach, the authors study important open data from organizational, technological, social and political perspectives. The study highlights the potential of open data to drive profit through increasing the effectiveness of benchmarking and other data-driven business strategies.

Deloitte. Open Growth: Stimulating Demand for Open Data in the UK. Deloitte Analytics. December 2012. Accessed July 24, 2014. http://bit.ly/1oeFhks

  • This early paper on open data by Deloitte uses case studies and statistical analysis on open government data to create models of businesses using open data. They also review the market supply and demand of open government data in emerging sectors of the economy.

Gruen, Nicholas, John Houghton and Richard Tooth. Open for Business: How Open Data Can Help Achieve the G20 Growth Target.  Accessed July 24, 2014, http://bit.ly/UOmBRe

  • This report highlights the potential economic value of the open data agenda in Australia and the G20. The report provides an initial literature review on the economic value of open data, as well as a asset of case studies on the economic value of open data, and a set of recommendations for how open data can help the G20 and Australia achieve target objectives in the areas of trade, finance, fiscal and monetary policy, anti-corruption, employment, energy, and infrastructure.

Heusser, Felipe I. Understanding Open Government Data and Addressing Its Impact (draft version). World Wide Web Foundation. http://bit.ly/1o9Egym

  • The World Wide Web Foundation, in collaboration with IDRC has begun a research network to explore the impacts of open data in developing countries. In addition to the Web Foundation and IDRC, the network includes the Berkman Center for Internet and Society at Harvard, the Open Development Technology Alliance and Practical Participation.

Howard, Alex. San Francisco Looks to Tap Into the Open Data Economy. O’Reilly Radar: Insight, Analysis, and Reach about Emerging Technologies.  October 19, 2012.  Accessed July 24, 2014. http://oreil.ly/1qNRt3h

  • Alex Howard points to San Francisco as one of the first municipalities in the United States to embrace an open data platform.  He outlines how open data has driven innovation in local governance.  Moreover, he discusses the potential impact of open data on job creation and government technology infrastructure in the City and County of San Francisco.

Huijboom, Noor and Tijs Van den Broek. Open Data: An International Comparison of Strategies. European Journal of ePractice. March 2011. Accessed July 24, 2014.  http://bit.ly/1AE24jq

  • This article examines five countries and their open data strategies, identifying key features, main barriers, and drivers of progress for of open data programs. The authors outline the key challenges facing European, and other national open data policies, highlighting the emerging role open data initiatives are playing in political and administrative agendas around the world.

Manyika, J., Michael Chui, Diana Farrell, Steve Van Kuiken, Peter Groves, and Elizabeth Almasi Doshi. Open Data: Unlocking Innovation and Performance with Liquid Innovation. McKinsey Global Institute. October 2013. Accessed July 24, 2014.  http://bit.ly/1lgDX0v

  • This research focuses on quantifying the potential value of open data in seven “domains” in the global economy: education, transportation, consumer products, electricity, oil and gas, health care, and consumer finance.

Moore, Alida. Congressional Transparency Caucus: How Open Data Creates Jobs. April 2, 2014. Accessed July 30, 2014. Socrata. http://bit.ly/1n7OJpp

  • Socrata provides a summary of the March 24th briefing of the Congressional Transparency Caucus on the need to increase government transparency through adopting open data initiatives. They include key takeaways from the panel discussion, as well as their role in making open data available for businesses.

Stott, Andrew. Open Data for Economic Growth. The World Bank. June 25, 2014. Accessed July 24, 2014. http://bit.ly/1n7PRJF

  • In this report, The World Bank examines the evidence for the economic potential of open data, holding that the economic potential is quite large, despite a variation in the published estimates, and difficulties assessing its potential methodologically. They provide five archetypes of businesses using open data, and provides recommendations for governments trying to maximize economic growth from open data.