The global identification challenge: Who are the 1 billion people without proof of identity?


Vyjayanti Desai at The Worldbank: “…Using a combination of the self-reported figures from country authorities, birth registration and other proxy data, the 2018 ID4D Global Dataset suggests that as many as 1 billion people struggle to prove who they are. The data also revealed that of the 1 billion people without an official proof of identity:

  • 81% live in Sub-Saharan Africa and South Asia, indicating the need to scale up efforts in these regions
  • 47% are below the national ID age of their country, highlighting the importance of strengthening birth registration efforts and creating a unique, lifetime identity;
  • 63% live in lower-middle income economies, while 28% live in low-income economies, reinforcing that lack of identification is a critical concern for the global poor….

In addition, to further strengthen understanding of who the undocumented are and the barriers they face, ID4D partnered with the 2017 Global Findex to gather for the first time this year, nationally-representative survey data from 99 countries on foundational ID coverage, use, and barriers to access. Early findings suggest that residents of low income countries, particularly women and the poorest 40%, are the most affected by a lack of ID. The survey data (albeit limited in its coverage to people aged 15 and older) confirm that the coverage gap is largest in low income countries (LICs), where 38% of the surveyed population does not have a foundational ID. Regionally, sub-Saharan Africa shows the largest coverage gap, where close to one in three people in surveyed countries lack a foundational ID.

Although global gender gaps in foundational ID coverage are relatively small, there is a large gender gap for the unregistered population in low income countries – where over 45% of women lack a foundational ID, compared to 30% of men.  The countries with the greatest #gender gaps in foundational ID coverage also tend to be those with #legal barriers for women’s access to #identity documents….(More)”.

New Repository of Government Data Visualizations and Maps


Press Release: “Data-Smart City Solutions, a program of Harvard Kennedy School’s Ash Center for Democratic Governance and Innovation, today launched a searchable public database comprising cutting-edge examples of public sector data use. The “Solutions Search” indexes interactive maps and visualizations, spanning civic issue areas such as transportation, public health, and housing, that are helping data innovators more accurately understand and illustrate challenges, leading to optimized solutions.

The new user-friendly public database includes 200 data-driven models for civic technologists, community organizations, and government employees. “By showcasing successful data-driven initiatives from across the country, we have the opportunity to help city leaders learn from each other and avoid reinventing the wheel,” noted Stephen Goldsmith, Daniel Paul Professor of the Practice of Government and faculty director of the Innovations in Government Program at the Ash Center, who also leads the Civic Analytics Network, a national network of municipal chief data officers.

This new Harvard database spans city, county, state, and federal levels, and features a wide variety of interventions and initiatives, including maps, data visualizations, and dashboards. Examples include the California Report Card and GradeDC.gov, dashboards that measurecommunity health – and run on citizen input, allowing residents to rank various city services and agencies. Users can also find Redlining Louisville: The History of Race, Class, and Real Estate, a visualization that explores the impact of disinvestment in Louisville neighborhoods….(More)”.

China asserts firm grip on research data


ScienceMag: “In a move few scientists anticipated, the Chinese government has decreed that all scientific data generated in China must be submitted to government-sanctioned data centers before appearing in publications. At the same time, the regulations, posted last week, call for open access and data sharing.

The possibly conflicting directives puzzle researchers, who note that the yet-to-be-established data centers will have latitude in interpreting the rules. Scientists in China can still share results with overseas collaborators, says Xie Xuemei, who specializes in innovation economics at Shanghai University. Xie also believes that the new requirements to register data with authorities before submitting papers to journals will not affect most research areas. Gaining approval could mean publishing delays, Xie says, but “it will not have a serious impact on scientific research.”

The new rules, issued by the powerful State Council, apply to all groups and individuals generating research data in China. The creation of a national data center will apparently fall to the science ministry, though other ministries and local governments are expected to create their own centers as well. Exempted from the call for open access and sharing are data involving state and business secrets, national security, “public interest,” and individual privacy… (More)”

Accountability in modern government: what are the issues?


Discussion Paper by Benoit Guerin, Julian McCrae and Marcus Shepheard: “…Accountability lies at the heart of democratic government. It enables people to know how the Government is doing and how to gain redress when things go wrong. It ensures ministers and civil servants are acting in the interests of the people they serve.

Accountability is a part of good governance and it can increase the trustworthiness and legitimacy of the state in the eyes of the public. Every day, 5.4 million public sector workers deliver services ranging from health care to schools to national defence.1 A host of bodies hold them to account – whether the National Audit Office undertaking around 60 value for money inquiries a year,2 Ofsted inspecting more than 5,000 schools per year, or the main Government ombudsman services dealing with nearly 80,000 complaints from the public in 2016/17 alone. More than 21,000 elected officials, ranging from MPs to local councillors, scrutinise these services on behalf of citizens.

When that accountability works properly, it helps the UK’s government to be among the best in the world. For example, public spending is authorised by Parliament and routinely stays within the limits set. The accountability that surrounds this – provided through oversight by the Treasury, audit by the National Audit Office and scrutiny by the Public Accounts Committee – is strong and dates back to the 19th century. However, in areas where that accountability is weak, the risk of failure – whether financial mismanagement, the collapse of services or chronic underperformance – increases. …

There are three factors underpinning the weak accountability that is perpetuating failure. They are: fundamental gaps in accountability in Whitehall; a failure of accountability beyond Whitehall to keep pace with an increasingly complex public sector landscape; and a pervading culture of blame….

This paper suggests potential options for strengthening accountability, based on our analysis. These involve changes to structures, increased transparency and moves to improve the culture. These options are meant to elicit discussion rather than to set the Institute for Government’s position at this stage….(More)”

How artificial intelligence is transforming the world


Report by Darrell West and John Allen at Brookings: “Most people are not very familiar with the concept of artificial intelligence (AI). As an illustration, when 1,500 senior business leaders in the United States in 2017 were asked about AI, only 17 percent said they were familiar with it. A number of them were not sure what it was or how it would affect their particular companies. They understood there was considerable potential for altering business processes, but were not clear how AI could be deployed within their own organizations.

Despite its widespread lack of familiarity, AI is a technology that is transforming every walk of life. It is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decisionmaking. Our hope through this comprehensive overview is to explain AI to an audience of policymakers, opinion leaders, and interested observers, and demonstrate how AI already is altering the world and raising important questions for society, the economy, and governance.

In this paper, we discuss novel applications in finance, national security, health care, criminal justice, transportation, and smart cities, and address issues such as data access problems, algorithmic bias, AI ethics and transparency, and legal liability for AI decisions. We contrast the regulatory approaches of the U.S. and European Union, and close by making a number of recommendations for getting the most out of AI while still protecting important human values.

In order to maximize AI benefits, we recommend nine steps for going forward:

  • Encourage greater data access for researchers without compromising users’ personal privacy,
  • invest more government funding in unclassified AI research,
  • promote new models of digital education and AI workforce development so employees have the skills needed in the 21st-century economy,
  • create a federal AI advisory committee to make policy recommendations,
  • engage with state and local officials so they enact effective policies,
  • regulate broad AI principles rather than specific algorithms,
  • take bias complaints seriously so AI does not replicate historic injustice, unfairness, or discrimination in data or algorithms,
  • maintain mechanisms for human oversight and control, and
  • penalize malicious AI behavior and promote cybersecurity….(More)

Table of Contents
I. Qualities of artificial intelligence
II. Applications in diverse sectors
III. Policy, regulatory, and ethical issues
IV. Recommendations
V. Conclusion

Using Data to Inform the Science of Broadening Participation


Donna K. Ginther at the American Behavioral Scientist: “In this article, I describe how data and econometric methods can be used to study the science of broadening participation. I start by showing that theory can be used to structure the approach to using data to investigate gender and race/ethnicity differences in career outcomes. I also illustrate this process by examining whether women of color who apply for National Institutes of Health research funding are confronted with a double bind where race and gender compound their disadvantage relative to Whites. Although high-quality data are needed for understanding the barriers to broadening participation in science careers, it cannot fully explain why women and underrepresented minorities are less likely to be scientists or have less productive science careers. As researchers, it is important to use all forms of data—quantitative, experimental, and qualitative—to deepen our understanding of the barriers to broadening participation….(More)”.

Digitalization and Public Sector Transformations


Book by Jannick Schou and Morten Hjelholt: “This book provides a study of governmental digitalization, an increasingly important area of policymaking within advanced capitalist states. It dives into a case study of digitalization efforts in Denmark, fusing a national policy study with local institutional analysis. Denmark is often framed as an international forerunner in terms of digitalizing its public sector and thus provides a particularly instructive setting for understanding this new political instrument.

Advancing a cultural political economic approach, Schou and Hjelholt argue that digitalization is far from a quick technological fix. Instead, this area must be located against wider transformations within the political economy of capitalist states. Doing so, the book excavates the political roots of digitalization and reveals its institutional consequences. It shows how new relations are being formed between the state and its citizens.

Digitalization and Public Sector Transformations pushes for a renewed approach to governmental digitalization and will be of interest to scholars working in the intersections of critical political economy, state theory and policy studies…(More)”.

Lessons from DataRescue: The Limits of Grassroots Climate Change Data Preservation and the Need for Federal Records Law Reform


Essay by Sarah Lamdan at the University of Pennsylvania Law Review: “Shortly after Donald Trump’s victory in the 2016 Presidential election, but before his inauguration, a group of concerned scholars organized in cities and college campuses across the United States, starting with the University of Pennsylvania, to prevent climate change data from disappearing from government websites. The move was led by Michelle Murphy, a scholar who had previously observed the destruction of climate change data and muzzling of government employees in Canadian Prime Minister Stephen Harper’s administration. The “guerrilla archiving” project soon swept the nation, drawing media attention as its volunteers scraped and preserved terabytes of climate change and other environmental data and materials from .gov websites. The archiving project felt urgent and necessary, as the federal government is the largest collector and archive of U.S. environmental data and information.

As it progressed, the guerrilla archiving movement became more defined: two organizations developed, the DataRefuge at the University of Pennsylvania, and the Environmental Data & Governance Initiative (EDGI), which was a national collection of academics and non-profits. These groups co-hosted data gathering sessions called DataRescue events. I joined EDGI to help members work through administrative law concepts and file Freedom of Information Act (FOIA) requests. The day-long archiving events were immensely popular and widely covered by media outlets. Each weekend, hundreds of volunteers would gather to participate in DataRescue events in U.S. cities. I helped organize the New York DataRescue event, which was held less than a month after the initial event in Pennsylvania. We had to turn people away as hundreds of local volunteers lined up to help and dozens more arrived in buses and cars, exceeding the space constraints of NYU’s cavernous MakerSpace engineering facility. Despite the popularity of the project, however, DataRescue’s goals seemed far-fetched: how could thousands of private citizens learn the contours of multitudes of federal environmental information warehouses, gather the data from all of them, and then re-post the materials in a publicly accessible format?…(More)”.

Use our personal data for the common good


Hetan Shah at Nature: “Data science brings enormous potential for good — for example, to improve the delivery of public services, and even to track and fight modern slavery. No wonder researchers around the world — including members of my own organization, the Royal Statistical Society in London — have had their heads in their hands over headlines about how Facebook and the data-analytics company Cambridge Analytica might have handled personal data. We know that trustworthiness underpins public support for data innovation, and we have just seen what happens when that trust is lost….But how else might we ensure the use of data for the public good rather than for purely private gain?

Here are two proposals towards this goal.

First, governments should pass legislation to allow national statistical offices to gain anonymized access to large private-sector data sets under openly specified conditions. This provision was part of the United Kingdom’s Digital Economy Act last year and will improve the ability of the UK Office for National Statistics to assess the economy and society for the public interest.

My second proposal is inspired by the legacy of John Sulston, who died earlier this month. Sulston was known for his success in advocating for the Human Genome Project to be openly accessible to the science community, while a competitor sought to sequence the genome first and keep data proprietary.

Like Sulston, we should look for ways of making data available for the common interest. Intellectual-property rights expire after a fixed time period: what if, similarly, technology companies were allowed to use the data that they gather only for a limited period, say, five years? The data could then revert to a national charitable corporation that could provide access to certified researchers, who would both be held to account and be subject to scrutiny that ensure the data are used for the common good.

Technology companies would move from being data owners to becoming data stewards…(More)” (see also http://datacollaboratives.org/).

Modernizing Crime Statistics: New Systems for Measuring Crime


(Second) Report by the National Academies of Sciences, Engineering, and Medicine: “To derive statistics about crime – to estimate its levels and trends, assess its costs to and impacts on society, and inform law enforcement approaches to prevent it – a conceptual framework for defining and thinking about crime is virtually a prerequisite. Developing and maintaining such a framework is no easy task, because the mechanics of crime are ever evolving and shifting: tied to shifts and development in technology, society, and legislation.

Interest in understanding crime surged in the 1920s, which proved to be a pivotal decade for the collection of nationwide crime statistics. Now established as a permanent agency, the Census Bureau commissioned the drafting of a manual for preparing crime statistics—intended for use by the police, corrections departments, and courts alike. The new manual sought to solve a perennial problem by suggesting a standard taxonomy of crime. Shortly after the Census Bureau issued its manual, the International Association of Chiefs of Police in convention adopted a resolution to create a Committee on Uniform Crime Records —to begin the process of describing what a national system of data on crimes known to the police might look like.

Report 1 performed a comprehensive reassessment of what is meant by crime in U.S. crime statistics and recommends a new classification of crime to organize measurement efforts. This second report examines methodological and implementation issues and presents a conceptual blueprint for modernizing crime statistics….(More)”.