Ian Bremmer at Foreign Affairs: “…States have been the primary actors in global affairs for nearly 400 years. That is starting to change, as a handful of large technology companies rival them for geopolitical influence. The aftermath of the January 6 riot serves as the latest proof that Amazon, Apple, Facebook, Google, and Twitter are no longer merely large companies; they have taken control of aspects of society, the economy, and national security that were long the exclusive preserve of the state. The same goes for Chinese technology companies, such as Alibaba, ByteDance, and Tencent. Nonstate actors are increasingly shaping geopolitics, with technology companies in the lead. And although Europe wants to play, its companies do not have the size or geopolitical influence to compete with their American and Chinese counterparts….(More)”.
We Need a New Economic Category
Article by Anne-Marie Slaughter and Hilary Cottam: “Recognizing the true value and potential of care, socially as well as economically, depends on a different understanding of what care actually is: not a service but a relationship that depends on human connection. It is the essence of what Jamie Merisotis, the president of the nonprofit Lumina Foundation, calls “human work”: the “work only people can do.” This makes it all the more essential in an age when workers face the threat of being replaced by machines.
When we use the word in an economic sense, care is a bundle of services: feeding, dressing, bathing, toileting, and assisting. Robots could perform all of those functions; in countries such as Japan, sometimes they already do. But that work is best described as caretaking, comparable to what the caretaker of a property provides by watering a garden or fixing a gate.
What transforms those services into caregiving, the support we want for ourselves and for those we love, is the existence of a relationship between the person providing care and the person being cared for. Not just any relationship, but one that is affectionate, or at least considerate and respectful. Most human beings cannot thrive without connection to others, a point underlined by the depression and declining mental capacities of many seniors who have been isolated during the pandemic….
One of us, Hilary, has worked in Britain to expand caregiving networks. In 2007 she co-designed a program called Circle, which is part social club, part concierge service. Members pay a small monthly fee, and in return get access to fun activities and practical support from members and helpers in the community. More than 10,000 people have participated, and evaluations show that members feel less lonely and more capable. The program has also reduced the money spent on formal services; Circle members are less likely, for example, to be readmitted to the hospital.The mutual-aid societies that mushroomed into existence across the United States during the pandemic reflect the same philosophy. The core of a mutual-aid network is the principle of “solidarity not charity”: a group of community members coming together on an equal basis for the common good. These societies draw on a long tradition of “collective care” developed by African American, Indigenous, and immigrant groups as far back as the 18th century….Care jobs help humans flourish, and, properly understood and compensated, they can power a growing sector of the economy, strengthen our society, and increase our well-being. Goods are things that people buy and own; services are functions that people pay for. Relationships require two people and a connection between them. We don’t really have an economic category for that, but we should….(More)”.
Data Science for Social Good: Philanthropy and Social Impact in a Complex World
Book edited by Ciro Cattuto and Massimo Lapucci: “This book is a collection of insights by thought leaders at first-mover organizations in the emerging field of “Data Science for Social Good”. It examines the application of knowledge from computer science, complex systems, and computational social science to challenges such as humanitarian response, public health, and sustainable development. The book provides an overview of scientific approaches to social impact – identifying a social need, targeting an intervention, measuring impact – and the complementary perspective of funders and philanthropies pushing forward this new sector.
TABLE OF CONTENTS
Introduction; By Massimo Lapucci
The Value of Data and Data Collaboratives for Good: A Roadmap for Philanthropies to Facilitate Systems Change Through Data; By Stefaan G. Verhulst
UN Global Pulse: A UN Innovation Initiative with a Multiplier Effect; By Dr. Paula Hidalgo-Sanchis
Building the Field of Data for Good; By Claudia Juech
When Philanthropy Meets Data Science: A Framework for Governance to Achieve Data-Driven Decision-Making for Public Good; By Nuria Oliver
Data for Good: Unlocking Privately-Held Data to the Benefit of the Many; By Alberto Alemanno
Building a Funding Data Ecosystem: Grantmaking in the UK; By Rachel Rank
A Reflection on the Role of Data for Health: COVID-19 and Beyond; By Stefan E. Germann and Ursula Jasper….(More)”
The fight against disinformation and the right to freedom of expression
Report of the European Union: This study, commissioned by the European Parliament’s Policy Department for Citizens’ Rights and Constitutional Affairs at the request of the LIBE Committee, aims at finding the balance between regulatory measures to tackle disinformation and the protection of freedom of expression. It explores the European legal framework and analyses the roles of all stakeholders in the information landscape. The study offers recommendations to reform the attention-based, data-driven information landscape and regulate platforms’ rights and duties relating to content moderation…(More)”.
A crowdsourced spreadsheet is the latest tool in Chinese tech worker organizing
Article by JS: “This week, thousands of Chinese tech workers are sharing information about their working schedules in an online spreadsheet. Their goal is to inform each other and new employees about overtime practices at different companies.
This initiative for work-schedule transparency, titled Working Time, has gone viral. As of Friday—just three days after the project launched—the spreadsheet has already had millions of views and over 6000 entries. The creators also set up group chats on the Tencent-owned messaging platform, QQ, to invite discussion about the project—over 10000 people have joined as participants.
This initiative comes after the explosive 996.ICU campaign which took place in 2019 where hundreds of thousands of tech workers in the country participated in an online effort to demand the end of the 72-hour work week—9am to 9pm, 6 days a week.
This year, multiple tech companies—with encouragement from the government—have ended overtime work practices that forced employees to work on Saturdays (or in some cases, alternating Saturdays). This has effectively ended 996, which was illegal to begin with. While an improvement, the data collected from this online spreadsheet shows that most tech workers still work long hours, either “1095” or “11105” (10am to 9pm or 11am to 10pm, 5 days a week). The spreadsheet also shows a non-negligible number of workers still working 6 days week.
Like the 996.ICU campaign, the creators of this spreadsheet are using GitHub to circulate and share info about the project. The first commit was made on Tuesday, October 12th. Only a few days later, the repo has been starred over 9500 times….(More)”.
Governing Cross-Border Challenges
OECD Report: “Issues facing governments are increasingly complex and transboundary in nature, making existing governance mechanisms unsuitable for managing them. Governments are leveraging new governance structures and mechanisms to connect and collaborate in order to tackle issues that cut across borders. Governance arrangements with innovative elements can act as enablers of cross-border government collaboration and assist in making it more systemic.
This work has led to the identification of three leading governance approaches and associated case studies, as discussed below….
Theme 1: Building cross-border governance bodies…
Theme 2: Innovative networks tackling cross-border collaboration…
Theme 3: Exploring emerging governance system dynamics…(More)”.
Launch of UN Biodiversity Lab 2.0: Spatial data and the future of our planet
Press Release: “…The UNBL 2.0 is a free, open-source platform that enables governments and others to access state-of-the-art maps and data on nature, climate change, and human development in new ways to generate insight for nature and sustainable development. It is freely available online to governments and other stakeholders as a digital public good…
The UNBL 2.0 release responds to a known global gap in the types of spatial data and tools, providing an invaluable resource to nations around the world to take transformative action. Users can now access over 400 of the world’s best available global spatial data layers; create secure workspaces to incorporate national data alongside global data; use curated data collections to generate insight for action; and more. Without specialized tools or training, decision-makers can leverage the power of spatial data to support priority-setting and the implementation of nature-based solutions. Dynamic metrics and indicators on the state of our planet are also available….(More)”.
The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations
Paper by Josh Cowls, Andreas Tsamados, Mariarosaria Taddeo & Luciano Floridi: “In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and the contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI systems. We assess the carbon footprint of AI research, and the factors that influence AI’s greenhouse gas (GHG) emissions in this domain. We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that leveraging the opportunities offered by AI for global climate change whilst limiting its risks is a gambit which requires responsive, evidence-based, and effective governance to become a winning strategy. We conclude by identifying the European Union as being especially well-placed to play a leading role in this policy response and provide 13 recommendations that are designed to identify and harness the opportunities of AI for combatting climate change, while reducing its impact on the environment….(More)”.
Data Stewardship Re-Imagined — Capacities and Competencies
Blog and presentation by Stefaan Verhulst: “In ways both large and small, COVID-OVID-19 has forced us to re-examine every aspect of our political, social, and economic systems. Among the many lessons, policymakers have learned is that existing methods for using data are often insufficient for our most pressing challenges. In particular, we need to find new, innovative ways of tapping into the potential of privately held and siloed datasets that nonetheless contain tremendous public good potential, including complementing and extending official statistics. Data collaboratives are an emerging set of methods for accessing and reusing data that offer tremendous opportunities in this regard. In the last five years, we have studied and initiated numerous data collaboratives, in the process assembling a collection of over 200 example case studies to better understand their possibilities.
Among our key findings is the vital importance and essential role that needs to be played by Data Stewards.
Data stewards do not represent an entirely new profession; rather, their role could be understood as an extension and re-definition of existing organizational positions that manage and interact with data. Traditionally, the role of a data officer was limited either to data integrity or the narrow context of internal data governance and management, with a strong emphasis on technical competencies. This narrow conception is no longer sufficient, especially given the proliferation of data and the increasing potential of data sharing and collaboration. As such, we call for a re-imagination of data stewardship to encompass a wider range of functions and responsibilities, directed at leveraging data assets toward addressing societal challenges and improving people’s lives.
DATA STEWARDSHIP: functions and competencies to enable access to and re-use of data for public benefit in a systematic, sustainable, and responsible way.
In our vision, data stewards are professionals empowered to create public value (including official statistics) by re-using data and data expertise, identifying opportunities for productive cross-sectoral collaboration, and proactively requesting or enabling functional access to data, insights, and expertise. Data stewards are active in both the public and private sectors, promoting trust within and outside their organizations. They are essential to data collaboratives by providing functional access to unlock the potential of siloed data sets. In short, data stewards form a new — and essential — link in the data value chain….(More)”.
Slowed canonical progress in large fields of science
Paper by Johan S. G. Chu and James A. Evans: “The size of scientific fields may impede the rise of new ideas. Examining 1.8 billion citations among 90 million papers across 241 subjects, we find a deluge of papers does not lead to turnover of central ideas in a field, but rather to ossification of canon. Scholars in fields where many papers are published annually face difficulty getting published, read, and cited unless their work references already widely cited articles. New papers containing potentially important contributions cannot garner field-wide attention through gradual processes of diffusion. These findings suggest fundamental progress may be stymied if quantitative growth of scientific endeavors—in number of scientists, institutes, and papers—is not balanced by structures fostering disruptive scholarship and focusing attention on novel ideas…(More)”.