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)”

Climate TRACE


About: “We exist to make meaningful climate action faster and easier by mobilizing the global tech community—harnessing satellites, artificial intelligence, and collective expertise—to track human-caused emissions to specific sources in real time—independently and publicly.

Climate TRACE aims to drive stronger decision-making on environmental policy, investment, corporate sustainability strategy, and more.

WHAT WE DO

01 Monitor human-caused GHG emissions using cutting-edge technologies such as artificial intelligence, machine learning, and satellite image processing.

02 Collaborate with data scientists and emission experts from an array of industries to bring unprecedented transparency to global pollution monitoring.

03 Partner with leaders from the private and public sectors to share valuable insights in order to drive stronger climate policy and strategy.

04 Provide the necessary tools for anyone anywhere to make better decisions to mitigate and adapt to the impacts from climate change… (More)”

Tackling Societal Challenges with Open Innovation


Introduction to Special Issue of California Management Review by Anita M. McGahan, Marcel L. A. M. Bogers, Henry Chesbrough, and Marcus Holgersson: “Open innovation includes external knowledge sources and paths to market as complements to internal innovation processes. Open innovation has to date been driven largely by business objectives, but the imperative of social challenges has turned attention to the broader set of goals to which open innovation is relevant. This introduction discusses how open innovation can be deployed to address societal challenges—as well as the trade-offs and tensions that arise as a result. Against this background we introduce the articles published in this Special Section, which were originally presented at the sixth Annual World Open Innovation Conference….(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)”.

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)”.

The new SkillsMatch platform tackles skills assessment and matches your skills with training


European Commission: “The European labour market requires new skills to meet the demands of the Digital Age. EU citizens should have the right training, skills and support to empower them to find quality jobs and improve their living standards.

‘Soft skills’ such as confidence, teamwork, self-motivation, networking, presentation skills, are considered important for the employability and adaptability of Europe’s citizens. Soft skills are essential for how we work together and influence the decisions we take every day and can be more important than hard skills in today’s workplaces. The lack of soft skills is often only discovered once a person is already working on the job.

The state-of-the-art SkillsMatch platform helps users to match and adapt their soft skills assets to the demands of the labour market. The project is the first to offer a fully comprehensive platform with style guide cataloguing 36 different soft skills and matching them with occupations, as well as training opportunities, offering a large number of courses to improve soft skills depending on the chosen occupation.

The platform proposes courses, such as organisation and personal development, entrepreneurship, business communication and conflict resolution. There is a choice of courses in Spanish and English. Moreover, the platform will also provide recognition of the new learning and skills (open badges)…(More)”.

Geospatial Data Market Study


Study by Frontier Economics: “Frontier Economics was commissioned by the Geospatial Commission to carry out a detailed economic study of the size, features and characteristics of the UK geospatial data market. The Geospatial Commission was established within the Cabinet Office in 2018, as an independent, expert committee responsible for setting the UK’s Geospatial Strategy and coordinating public sector geospatial activity. The Geospatial Commission’s aim is to unlock the significant economic, social and environmental opportunities offered by location data. The UK’s Geospatial Strategy (2020) sets out how the UK can unlock the full power of location data and take advantage of the significant economic, social and environmental opportunities offered by location data….

Like many other forms of data, the value of geospatial data is not limited to the data creator or data user. Value from using geospatial data can be subdivided into several different categories, based on who the value accrues to:

Direct use value: where value accrues to users of geospatial data. This could include government using geospatial data to better manage public assets like roadways.

Indirect use value: where value is also derived by indirect beneficiaries who interact with direct users. This could include users of the public assets who benefit from better public service provision.

Spillover use value: value that accrues to others who are not a direct data user or indirect beneficiary. This could, for example, include lower levels of emissions due to improvement management of the road network by government. The benefits of lower emissions are felt by all of society even those who do not use the road network.

As the value from geospatial data does not always accrue to the direct user of the data, there is a risk of underinvestment in geospatial technology and services. Our £6 billion estimate of turnover for a subset of geospatial firms in 2018 does not take account of these wider economic benefits that “spill over” across the UK economy, and generate additional value. As such, the value that geospatial data delivers is likely to be significantly higher than we have estimated and is therefore an area for potential future investment….(More)”.

Scaling up Citizen Science


Report for the European Commission: “The rapid pace of technology advancements, the open innovation paradigm, and the ubiquity of high-speed connectivity, greatly facilitate access to information to individuals, increasing their opportunities to achieve greater emancipation and empowerment. This provides new opportunities for widening participation in scientific research and policy, thus opening a myriad of avenues driving a paradigm shift across fields and disciplines, including the strengthening of Citizen Science. Nowadays, the application of Citizen Science principles spans across several scientific disciplines, covering different geographical scales. While the interdisciplinary approach taken so far has shown significant results and findings, the current situation depicts a wide range of projects that are heavily context-dependent and where the learning outcomes of pilots are very much situated within the specific areas in which these projects are implemented. There is little evidence on how to foster the spread and scalability in Citizen Science. Furthermore, the Citizen Science community currently lacks a general agreement on what these terms mean, entail and how these can be approached.

To address these issues, we developed a theoretically grounded framework to unbundle the meaning of scaling and spreading in Citizen Science. In this framework, we defined nine constructs that represent the enablers of these complex phenomena. We then validated, enriched, and instantiated this framework through four qualitative case studies of, diverse, successful examples of scaling and spreading in Citizen Science. The framework and the rich experiences allow formulating four theoretically and empirically grounded scaling scenarios. We propose the framework and the in-depth case studies as the main contribution from this report. We hope to stimulate future research to further refine our understanding of the important, complex and multifaceted phenomena of scaling and spreading in Citizen Science. The framework also proposes a structured mindset for practitioners that either want to ideate and start a new Citizen Science intervention that is scalable-by-design, or for those that are interested in assessing the scalability potential of an existing initiative….(More)”.