Impact through Engagement: Co-production of administrative data research


Paper by Elizabeth Nelson and Frances Burns: “The Administrative Data Research Centre Northern Ireland (ADRC NI) is a research partnership between Queen’s University Belfast and Ulster University to facilitate access to linked administrative data for research purposes for public benefit and for evidence-based policy development. This requires a social licence extended by publics which is maintained by a robust approach to engagement and involvement.

Public engagement is central to the ADRC NI’s approach to research. Research impact is pursued and secured through robust engagement and co-production of research with publics and key stakeholders. This is done by focusing on data subjects (the cohort of people whose lives make up the datasets, placing value on experts by experience outside of academic knowledge, and working with public(s) as key data advocates, through project steering committees and targeted events with stakeholders. The work is led by a dedicated Public Engagement, Communications and Impact Manager.

While there are strengths and weaknesses to the ADRC NI approach, examples of successful partnerships and clear pathways to impact demonstrate its utility and ability to amplify the positive impact of administrative data research. Working with publics as data use becomes more ubiquitous in a post-COVID-19 world will become more critical. ADRC NI’s model is a potential way forward….(More)”.

See also Special Issue on Public Involvement and Engagement by the International Journal of Population Data Science.

UK response to pandemic hampered by poor data practices


Report for the Royal Society: “The UK is well behind other countries in making use of data to have a real time understanding of the spread and economic impact of the pandemic according to Data Evaluation and Learning for Viral Epidemics (DELVE), a multi-disciplinary group convened by the Royal Society.

The report, Data Readiness: Lessons from an Emergency, highlights how data such as aggregated and anonymised mobility and payment transaction data, already gathered by companies, could be used to give a more accurate picture of the pandemic at national and local levels.  That could in turn lead to improvements in evaluation and better targeting of interventions.

Maximising the value of big data at a time of crisis requires careful cooperation across the private sector, that is already gathering these data, the public sector, which can provide a base for aggregating and overseeing the correct use of the data and researchers who have the skills to analyse it for the public good.  This work needs to be developed in accordance with data protection legislation and respect people’s concerns about data security and privacy.

The report calls on the Government to extend the powers of the Office for National Statistics to enable them to support trustworthy access to ‘happenstance’ data – data that are already gathered but not for a specific public health purpose – and for the Government to fund pathfinder projects that focus on specific policy questions such as how we nowcast economic metrics and how we better understand population movements.

Neil Lawrence, DeepMind Professor of Machine Learning at the University of Cambridge, Senior AI Fellow at The Alan Turing Institute and an author of the report, said: “The UK has talked about making better use of data for the public good, but we have had statements of good intent, rather than action.  We need to plan better for national emergencies. We need to look at the National Risk Register through the lens of what data would help us to respond more effectively. We have to learn our lessons from experiences in this pandemic and be better prepared for future crises.  That means doing the work now to ensure that companies, the public sector and researchers have pathfinder projects up and running to share and analyse data and help the government to make better informed decisions.”  

During the pandemic, counts of the daily flow of people from one place to another between more than 3000 districts in Spain have been available at the click of a button, allowing policy makers to more effectively understand how the movement of people contributes to the spread of the virus. This was based on a collaboration between the country’s three main mobile phone operators.  In France, measuring the impact of the pandemic on consumer spending on a daily and weekly scale was possible as a result of coordinated cooperation between the country’s national interbank network. 

Professor Lawrence added: “Mobile phone companies might provide a huge amount of anonymised and aggregated data that would allow us a much greater understanding of how people move around, potentially spreading the virus as they go.  And there is a wealth of other data, such as from transport systems. The more we understand about this pandemic, the better we can tackle it. We should be able to work together, the private and the public sectors, to harness big data for massive positive social good and do that safely and responsibly.”…(More)”

Digital Democracy, Social Media and Disinformation


Book by Petros Iosifidis and Nicholas Nicoli: “Digital Democracy, Social Media and Disinformation discusses some of the political, regulatory and technological issues which arise from the increased power of internet intermediaries (such as Facebook, Twitter and YouTube) and the impact of the spread of digital disinformation, especially in the midst of a health pandemic.

The volume provides a detailed account of the main areas surrounding digital democracy, disinformation and fake news, freedom of expression and post-truth politics. It addresses the major theoretical and regulatory concepts of digital democracy and the ‘network society’ before offering potential socio-political and technological solutions to the fight against disinformation and fake news. These solutions include self-regulation, rebuttals and myth-busting, news literacy, policy recommendations, awareness and communication strategies and the potential of recent technologies such as the blockchain and public interest algorithms to counter disinformation.

After addressing what has currently been done to combat disinformation and fake news, the volume argues that digital disinformation needs to be identified as a multifaceted problem, one that requires multiple approaches to resolve. Governments, regulators, think tanks, the academy and technology providers need to take more steps to better shape the next internet with as little digital disinformation as possible by means of a regional analysis. In this context, two cases concerning Russia and Ukraine are presented regarding disinformation and the ways it was handled….(More)”

Civic Technologies: Research, Practice and Open Challenges


Paper by Pablo Aragon, Adriana Alvarado Garcia, Christopher A. Le Dantec, Claudia Flores-Saviaga, and Jorge Saldivar: “Over the last years, civic technology projects have emerged around the world to advance open government and community action. Although Computer-Supported Cooperative Work (CSCW) and Human-Computer Interaction (HCI) communities have shown a growing interest in researching issues around civic technologies, yet most research still focuses on projects from the Global North. The goal of this workshop is, therefore, to advance CSCW research by raising awareness for the ongoing challenges and open questions around civic technology by bridging the gap between researchers and practitioners from different regions.

The workshop will be organized around three central topics: (1) discuss how the local context and infrastructure affect the design, implementation, adoption, and maintenance of civic technology; (2) identify key elements of the configuration of trust among government, citizenry, and local organizations and how these elements change depending on the sociopolitical context where community engagement takes place; (3) discover what methods and strategies are best suited for conducting research on civic technologies in different contexts. These core topics will be covered across sessions that will initiate in-depth discussions and, thereby, stimulate collaboration between the CSCW research community and practitioners of civic technologies from both Global North and South….(More)”.

Open government data, uncertainty and coronavirus: An infodemiological case study


Paper by Nikolaos Yiannakoulias, Catherine E. Slavik, Shelby L. Sturrock, J. Connor Darlington: “Governments around the world have made data on COVID-19 testing, case numbers, hospitalizations and deaths openly available, and a breadth of researchers, media sources and data scientists have curated and used these data to inform the public about the state of the coronavirus pandemic. However, it is unclear if all data being released convey anything useful beyond the reputational benefits of governments wishing to appear open and transparent. In this analysis we use Ontario, Canada as a case study to assess the value of publicly available SARS-CoV-2 positive case numbers. Using a combination of real data and simulations, we find that daily publicly available test results probably contain considerable error about individual risk (measured as proportion of tests that are positive, population based incidence and prevalence of active cases) and that short term variations are very unlikely to provide useful information for any plausible decision making on the part of individual citizens. Open government data can increase the transparency and accountability of government, however it is essential that all publication, use and re-use of these data highlight their weaknesses to ensure that the public is properly informed about the uncertainty associated with SARS-CoV-2 information….(More)”

Enslaved.org


About: “As of December 2020, we have built a robust, open-source architecture to discover and explore nearly a half million people records and 5 million data points. From archival fragments and spreadsheet entries, we see the lives of the enslaved in richer detail. Yet there’s much more work to do, and with the help of scholars, educators, and family historians, Enslaved.org will be rapidly expanding in 2021. We are just getting started….

In recent years, a growing number of archives, databases, and collections that organize and make sense of records of enslavement have become freely and readily accessible for scholarly and public consumption. This proliferation of projects and databases presents a number of challenges:

  • Disambiguating and merging individuals across multiple datasets is nearly impossible given their current, siloed nature;
  • Searching, browsing, and quantitative analysis across projects is extremely difficult;
  • It is often difficult to find projects and databases;
  • There are no best practices for digital data creation;
  • Many projects and datasets are in danger of going offline and disappearing.

In response to these challenges, Matrix: The Center for Digital Humanities & Social Sciences at Michigan State University (MSU), in partnership with the MSU Department of History, University of Maryland, and scholars at multiple institutions, developed Enslaved: Peoples of the Historical Slave TradeEnslaved.org’s primary focus is people—individuals who were enslaved, owned slaves, or participated in slave trading….(More)”.

Review into bias in algorithmic decision-making


Report by the Center for Data Ethics and Innovation (CDEI) (UK): “Unfair biases, whether conscious or unconscious, can be a problem in many decision-making processes. This review considers the impact that an increasing use of algorithmic tools is having on bias in decision-making, the steps that are required to manage risks, and the opportunities that better use of data offers to enhance fairness. We have focused on the use of
algorithms in significant decisions about individuals, looking across four sectors (recruitment, financial services, policing and local government), and making cross-cutting recommendations that aim to help build the right systems so that algorithms improve, rather than worsen, decision-making…(More)”.

Data Disappeared


Essay by Samanth Subramanian: “Whenever President Donald Trump is questioned about why the United States has nearly three times more coronavirus cases than the entire European Union, or why hundreds of Americans are still dying every day, he whips out one standard comment. We find so many cases, he contends, because we test so many people. The remark typifies Trump’s deep distrust of data: his wariness of what it will reveal, and his eagerness to distort it. In April, when he refused to allow coronavirus-stricken passengers off the Grand Princess cruise liner and onto American soil for medical treatment, he explained: “I like the numbers where they are. I don’t need to have the numbers double because of one ship.” Unable—or unwilling—to fix the problem, Trump’s instinct is to fix the numbers instead.

The administration has failed on so many different fronts in its handling of the coronavirus, creating the overall impression of sheer mayhem. But there is a common thread that runs through these government malfunctions. Precise, transparent data is crucial in the fight against a pandemic—yet through a combination of ineptness and active manipulation, the government has depleted and corrupted the key statistics that public health officials rely on to protect us.

In mid-July, just when the U.S. was breaking and rebreaking its own records for daily counts of new coronavirus cases, the Centers for Disease Control and Prevention found itself abruptly relieved of its customary duty of collating national numbers on COVID-19 patients. Instead, the Department of Health and Human Services instructed hospitals to funnel their information to the government via TeleTracking, a small Tennessee firm started by a real estate entrepreneur who has frequently donated to the Republican Party. For a while, past data disappeared from the CDC’s website entirely, and although it reappeared after an outcry, it was never updated thereafter. The TeleTracking system was riddled with errors, and the newest statistics sometimes appeared after delays. This has severely limited the ability of public health officials to determine where new clusters of COVID-19 are blooming, to notice demographic patterns in the spread of the disease, or to allocate ICU beds to those who need them most.

To make matters more confusing still, Jared Kushner moved to start a separate coronavirus surveillance system run out of the White House and built by health technology giants—burdening already-overwhelmed officials and health care experts with a needless stream of queries. Kushner’s assessments often contradicted those of agencies working on the ground. When Andrew Cuomo, New York’s governor, asked for 30,000 ventilators, Kushner claimed the state didn’t need them: “I’m doing my own projections, and I’ve gotten a lot smarter about this.”…(More)”.

OECD Digital Economy Outlook


OECD: “…we released the third and latest edition of the OECD Digital Economy Outlook, our comprehensive analysis of emerging trends, opportunities and challenges in the digital economy….

Below are four key findings from this year’s Outlook. Find out more in our full publication and watch our virtual launch event here.

  • Widespread connectivity has allowed many to adapt to the crisis

Our report finds that connectivity has continued to improve over time. Mobile broadband subscriptions nearly tripled between 2009 and June 2019, rising from 32 to nearly 113 subscriptions per 100 inhabitants, while average mobile data usage quadrupled over the course of four years, reaching 4.6 GB in 2018. Although fibre connections have increased at a slower rate, by June 2019 they accounted for 27% of all fixed broadband connections in the OECD and no less than 50% in nine OECD countries.

  • But there are still significant divides in access, use and skills
  • Governments are increasingly putting the digital transformation front and centre

By mid-2020, 34 OECD countries had put in place a national digital strategy co-ordinated at the highest levels of government, and they are devoting more attention to emerging digital technologies such as AI, blockchain and 5G infrastructure. By mid-2020, 60 countries had established a national AI strategy, and several OECD countries – Australia, Austria, Colombia, France, Germany, Korea, Spain, the United Kingdom and the United States – have issued national 5G strategies. Several countries – Australia, People’s Republic of China, Germany, India and Switzerland – have issued a blockchain strategy, while others (France and Italy) are currently developing one.

  • But more needs to be done to ensure an inclusive digital transformation…(More)”.

Code of Conduct Constructor


Tool developed by GODAN: “Codes of conduct, voluntary guidelines and sets of principles around how to transparently govern farm data are a recent thing. While laws and regulations that govern personal data are becoming more and more common, legislation still does not cover data flows in many industries where different actors in the value chain need to share data while protecting all involved from the risks of data sharing. Data in these value chains is currently governed through private data contracts and licensing agreements, which are normally very complex and over which data producers have very little negotiating power.

Codes of conduct have started to emerge to fill the legislative void, setting common standards for data sharing contracts. Codes provide principles that the signatories agree to apply in their contracts. Farm data is an example of such sensitive data flows. Farm data flows go from the farm through many other actors (extensionists/ advisory service providers/ ag tech companies, farmers’ associations, financial service providers, government…), before returning – aggregated and combined and in the form of services – back to the farm. Such flows potentially open up sensitive data that should only be shared with specific actors under specific conditions, or should be anonymised in order to avoid harming the farmer’s interests and privacy. This is especially true in the case of smallholder farmers, whose farm data often coincides with household data and personal data, and who are in the weakest position to negotiate their data rights.

This online tool, therefore, also has another important practical purpose: providing the conceptual basis for general, scalable guidelines for everyone dealing with the production, ownership, sharing and use of data in agriculture….(More)”.