Big Data in the Arts and Humanities: Theory and Practice


Book edited by Giovanni Schiuma and Daniela Carlucci: “As digital technologies occupy a more central role in working and everyday human life, individual and social realities are increasingly constructed and communicated through digital objects, which are progressively replacing and representing physical objects. They are even shaping new forms of virtual reality. This growing digital transformation coupled with technological evolution and the development of computer computation is shaping a cyber society whose working mechanisms are grounded upon the production, deployment, and exploitation of big data. In the arts and humanities, however, the notion of big data is still in its embryonic stage, and only in the last few years, have arts and cultural organizations and institutions, artists, and humanists started to investigate, explore, and experiment with the deployment and exploitation of big data as well as understand the possible forms of collaborations based on it.

Big Data in the Arts and Humanities: Theory and Practice explores the meaning, properties, and applications of big data. This book examines therelevance of big data to the arts and humanities, digital humanities, and management of big data with and for the arts and humanities. It explores the reasons and opportunities for the arts and humanities to embrace the big data revolution. The book also delineates managerial implications to successfully shape a mutually beneficial partnership between the arts and humanities and the big data- and computational digital-based sciences.

Big data and arts and humanities can be likened to the rational and emotional aspects of the human mind. This book attempts to integrate these two aspects of human thought to advance decision-making and to enhance the expression of the best of human life….(More)“.

How Do You Control 1.4 Billion People?


Robert Foyle Hunwick at The New Republic: China’s “social credit system”, which becomes mandatory in 2020, aims to funnel all behavior into a credit score….The quoted text is from a 2014 State Council resolution which promises that every involuntary participant will be rated according to their “commercial sincerity,” “social security,” “trust breaking” and “judicial credibility.”

Some residents welcome it. Decades of political upheaval and endemic corruption has bred widespread mistrust; most still rely on close familial networks (guanxi) to get ahead, rather than public institutions. An endemic lack of trust is corroding society; frequent incidents of “bystander effect”—people refusing to help injured strangers for fear of being held responsible—have become a national embarrassment. Even the most enthusiastic middle-class supporters of the ruling Communist Party (CCP) feel perpetually insecure. “Fraud has become ever more common,” Lian Weiliang, vice chairman of the CCP’s National Development and Reform Commission, recently admitted. “Swindlers must pay a price.”

The solution, apparently, lies in a data-driven system that automatically separates the good, the bad, and the ugly…

once compulsory state “social credit” goes national in 2020, these shadowy algorithms will become even more opaque. Social credit will align with Communist Party policy to become another form of law enforcement. Since Beijing relaxed its One Child Policy to cope with an aging population (400 million seniors by 2035), the government has increasingly indulged in a form of nationalist natalism to encourage more two-child families. Will women be penalized for staying single, and rewarded for swapping their careers for childbirth? In April, one of the country’s largest social-media companies banned homosexual content from its Weibo platform in order to “create a bright and harmonious community environment” (the decision was later rescinded in favor of cracking down on all sexual content). Will people once again be forced to hide non-normative sexual orientations in order to maintain their rights? An investigation by the University of Toronto’s Citizen Lab also warns that social credit policies would be used to discourage protest.

State media has defended social credit against Orwellian charges, arguing that China’s maturing economy requires a “well-functioning” apparatus like the U.S.’s FICO credit score system. But, counters Lubman, “the U.S. systems, maintained by three companies, collect only financially related information.” In the UK, citizens are entitled to an Equifax report itemizing their credit status. In China, only the security services have access to an individual’s dang’an, the personal file containing every scrap of information the state keeps on them, from exam results to their religious and political views….(More)”.

The DNA Data We Have Is Too White. Scientists Want to Fix That


Sarah Elizabeth Richards at Smithsonian: “We live in the age of big DNA data. Scientists are eagerly sequencing millions of human genomes in the hopes of gleaning information that will revolutionize health care as we know it, from targeted cancer therapies to personalized drugs that will work according to your own genetic makeup.

There’s a big problem, however: the data we have is too white. The vast majority of participants in worldwide genomics research are of European descent. This disparity could potentially leave out minorities from benefitting from the windfall of precision medicine. “It’s hard to tailor treatments for people’s unique needs, if the people who are suffering from those diseases aren’t included in the studies,” explains Jacquelyn Taylor, associate professor in nursing who researches health equity at New York University.

That’s about to change with the “All of Us” initiative, an ambitious health research endeavor by the National Institutes of Health that launches in May. Originally created in 2015 under President Obama as the Precision Medicine Initiative, the project aims to collect data from at least 1 million people of all ages, races, sexual identities, income and education levels. Volunteers will be asked to donate their DNA, complete health surveys and wear fitness and blood pressure trackers to offer clues about the interplay of their stats, their genetics and their environment….(More)”.

Government to establish a ‘National Data Commissioner’


Rohan Pearce at Computerworld – Australia: “A new position of the ‘National Data Commissioner’ will be established as part of a $65 million, four-year open data push by the federal government.

The creation of the new position is part of the government’s response to the Productivity Commission inquiry into the availability and use of public and private data by individuals and organisations.

The government in November revealed that it would legislate a new Consumer Data Right as part of its response to the PC’s recommendations. The government said that this will allow individuals to access data relating to their banking, energy, phone and Internet usage, potentially making it easier to compare and switch between service providers.

The Office of the Australian Information Commissioner and the Australian Competition and Consumer Commission will have oversight of the Consumer Data Right.

The government said today it would introduce a new data sharing and release framework to streamline the way government data is made available for use by researchers and public and private sector organisations.

The framework’s aim will be to promote the greater use of data and drive related economic and innovation benefits as well as to “Build trust with the Australian community about the government’s use of data”.

The government said it would push a risk-based approach to releasing publicly funded data sets.

The National Data Commissioner will be supported by a National Data Advisory Council. The council “will advise the National Data Commissioner on ethical data use, technical best practice, and industry and international developments.”…(More).

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)”.

Using Linked Open Statistical Data to enhance executive decision making in Greek Public Administration


OpenGovIntelligence: “Imagine an executive Government Department that needs to manage resources and make decisions on a daily basis without possessing any data to support them. This is the case in the supervising department of Government Vehicles, which is part of the Greek Ministry of Administrative Reconstruction. This department is in charge of the supervision and management of the whole fleet of Greek Government Vehicles….In an attempt to solve this problem, the Greek Ministry of Administrative Reconstruction joined the OpenGovernmentIntelligence project as a pilot partner to exploit statistical data for this purpose. Preliminary findings of the project team were very encouraging, to the surprise of Greek Ministry executives. There was a plethora of Government Vehicle data owned by other governmental and non-governmental bodies. Interestingly, the Ministry of Transport even had record level data of all vehicles, including governmental ones. Other data providers included the Hellenic Statistical Authority and the Hellenic Association of Motor Vehicle Importers-Representatives that provided fuel consumption and gas emissions data. Even more impressively, before the end of the first year of the project, a new web-based platform was built by means of the OGI toolkit. Its goal was to provide visualisations and statistical metrics to enhance executive decision making. For the first time, decision makers could acquire knowledge on metrics such as the average age, cubic capacity or daily fuel consumptions of a Government Agency fleet.

Screenshot from the Greek pilot in the OpenGovIntelligence project

However, a lot still needs to be done. The primary concern of the Greek Pilot team members is now data quality, as the Ministry of Administrative Reconstruction does not own any of these data. Next steps include data validation and cleansing, as well as collaboration with other agencies serving as intermediates for government fleet management regarding service co-production. Executives in the Greek Ministry of Administrative Reconstruction are now pleased to have access to data that will enhance their ability to make rational decisions regarding Government Vehicles. This is a small, but at the same time essential, step for a country struggling with economic recession….(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)”.

Privacy and Freedom of Expression In the Age of Artificial Intelligence


Joint Paper by Privacy International and ARTICLE 19: “Artificial Intelligence (AI) is part of our daily lives. This technology shapes how people access information, interact with devices, share personal information, and even understand foreign languages. It also transforms how individuals and groups can be tracked and identified, and dramatically alters what kinds of information can be gleaned about people from their data. AI has the potential to revolutionise societies in positive ways. However, as with any scientific or technological advancement, there is a real risk that the use of new tools by states or corporations will have a negative impact on human rights. While AI impacts a plethora of rights, ARTICLE 19 and Privacy International are particularly concerned about the impact it will have on the right to privacy and the right to freedom of expression and information. This scoping paper focuses on applications of ‘artificial narrow intelligence’: in particular, machine learning and its implications for human rights.

The aim of the paper is fourfold:

1. Present key technical definitions to clarify the debate;

2. Examine key ways in which AI impacts the right to freedom of expression and the right to privacy and outline key challenges;

3. Review the current landscape of AI governance, including various existing legal, technical, and corporate frameworks and industry-led AI initiatives that are relevant to freedom of expression and privacy; and

4. Provide initial suggestions for rights-based solutions which can be pursued by civil society organisations and other stakeholders in AI advocacy activities….(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)”

Data for Public Benefit


Carnegie Trust: “Public services are essential to our lives. Collecting, using and sharing data better could help deliver these services more effectively. But as well as delivering many public benefits the sharing of personal data can also involve risks.

Data for Public Benefit’ is a joint initiative with Involve and Understanding Patient Data. The report presents new research from across six local authority areas in England and has found that there are big differences in how public services currently define and weigh up public benefits and risks of data sharing.

We’ve developed a framework to help organisations make better decisions about when data should and shouldn’t be shared. This framework will help professionals weigh up the purpose of sharing data against the potential for harm and help public service providers have conversations with the public about data sharing….(More)“.