Macron’s green democracy experiment gets political


Louise Guillot and Elisa Braun at Politico: “Emmanuel Macron asked 150 ordinary people to help figure out France’s green policies — and now this citizens’ convention is turning into a political problem for the French president.

The Citizens’ Convention on Climate was aimed at calming tensions in the wake of the Yellow Jackets protest movement — which was sparked by a climate tax on fuel — and showing that Macron wasn’t an out-of-touch elitist.

After nine months of deliberations, the convention came up with 149 proposals to slash greenhouse gas emissions this summer. The government has to put some of these measures before the parliament for them to become binding, and a bill is due to be presented in December.

But that’s too slow for many of the convention’s members, who feel the government is back-pedalling on some of the ideas and that Macron has poked fun at them.

Muriel Raulic, a member of the convention, accused Macron of using the body to greenwash his administration.

She supports a moratorium on 5G high-speed mobile technology, which has created some health and environmental fears. Macron has dismissed proponents of the ban as “Amish” — a Christian sect suspicious of technology.

The 150 members wrote an open letter to Macron in mid-October, complaining about a lack of “clear and defined support from the executive, whose positions sometimes appear contradictory,” and to “openly hostile communications” from “certain professional actors.”

Some gathered late last month before the National Assembly to complain they felt used and treated like “guinea pigs” by politicians. In June, they created an association to oversee what the government is doing with their proposals. 

…The government denied it is using the convention to greenwash itself….(More)”.

Tackling misinformation during crisis


Paper by Elizabether Seger and Mark Briers: “The current COVID-19 pandemic and the accompanying ‘infodemic’ clearly illustrate that access to reliable information is crucial to coordinating a timely crisis response in democratic societies. Inaccurate information and the muzzling of important information sources have degraded trust in health authorities and slowed public response to the crisis. Misinformation about ineffective cures, the origins and malicious spread of COVID-19, unverified treatment discoveries, and the efficacy of face coverings have increased the difficulty of coordinating a unified public response during the crisis. 

In a recent report, researchers at the Cambridge Centre for the Study of Existential Risk (CSER) in collaboration with The Alan Turing Institute and the Defence Science and Technology Laboratory (Dstl) workshopped an array of hypothetical crisis scenarios to investigate social and technological factors that interfere with well-informed decision-making and timely collective action in democratic societies.

Crisis scenarios

Crisis scenarios are useful tools for appraising threats and vulnerabilities to systems of information production, dissemination, and evaluation. Factors influencing how robust a society is to such threats and vulnerabilities are not always obvious when life is relatively tranquil but are often highlighted under the stress of a crisis. 

CSER and Dstl workshop organisers, together with workshop participants (a diverse group of professionals interested in topics related to [mis/dis]information, information technology, and crisis response), co-developed and explored six hypothetical crisis scenarios and complex challenges:

  • Global health crisis
  • Character assassination
  • State fake news campaign
  • Economic collapse
  • Xenophobic ethnic cleansing
  • Epistemic babble, where the ability for the general population to tell the difference between truth and fiction (presented as truth) is lost

We analysed each scenario to identify various interest groups and actors, to pinpoint vulnerabilities in systems of information production and exchange, and to visualise how the system might be interfered with. We also considered interventions that could help bolster the society against threats to informed decision-making.

The systems map below is an example from workshop scenario 1: Global health crisis. The map shows how adversarial actors (red) and groups working to mitigate the crisis (blue) interact, impact each other’s actions, and influence the general public and other interest groups (green) such as those affected by the health crisis. 

Systems maps help visualise vulnerabilities in both red and blue actor systems, which, in turn, helps identify areas where intervention (yellow) is possible to help mitigate the crisis….(More)

A Legal Framework for Access to Data – A Competition Policy Perspective


Paper by Heike Schweitzer and Robert Welker: “The paper strives to systematise the debate on access to data from a competition policy angle. At the outset, two general policy approaches to access to data are distinguished: a “private control of data” approach versus an “open access” approach. We argue that, when it comes to private sector data, the “private control of data” approach is preferable. According to this approach, the “whether” and “how” of data access should generally be left to the market. However, public intervention can be justified by significant market failures. We discuss the presence of such market failures and the policy responses, including, in particular, competition policy responses, with a view to three different data access scenarios: access to data by co-generators of usage data (Scenario 1); requests for access to bundled or aggregated usage data by third parties vis-à-vis a service or product provider who controls such datasets, with the goal to enter complementary markets (Scenario 2); requests by firms to access the large usage data troves of the Big Tech online platforms for innovative purposes (Scenario 3). On this basis we develop recommendations for data access policies….(More)”.

Not fit for Purpose: A critical analysis of the ‘Five Safes’


Paper by Chris Culnane, Benjamin I. P. Rubinstein, and David Watts: “Adopted by government agencies in Australia, New Zealand, and the UK as policy instrument or as embodied into legislation, the ‘Five Safes’ framework aims to manage risks of releasing data derived from personal information. Despite its popularity, the Five Safes has undergone little legal or technical critical analysis. We argue that the Fives Safes is fundamentally flawed: from being disconnected from existing legal protections and appropriation of notions of safety without providing any means to prefer strong technical measures, to viewing disclosure risk as static through time and not requiring repeat assessment. The Five Safes provides little confidence that resulting data sharing is performed using ‘safety’ best practice or for purposes in service of public interest….(More)”.

The CARE Principles for Indigenous Data Governance


Paper by Stephanie Russo Carroll et al: “Concerns about secondary use of data and limited opportunities for benefit-sharing have focused attention on the tension that Indigenous communities feel between (1) protecting Indigenous rights and interests in Indigenous data (including traditional knowledges) and (2) supporting open data, machine learning, broad data sharing, and big data initiatives. The International Indigenous Data Sovereignty Interest Group (within the Research Data Alliance) is a network of nation-state based Indigenous data sovereignty networks and individuals that developed the ‘CARE Principles for Indigenous Data Governance’ (Collective Benefit, Authority to Control, Responsibility, and Ethics) in consultation with Indigenous Peoples, scholars, non-profit organizations, and governments. The CARE Principles are people– and purpose-oriented, reflecting the crucial role of data in advancing innovation, governance, and self-determination among Indigenous Peoples. The Principles complement the existing data-centric approach represented in the ‘FAIR Guiding Principles for scientific data management and stewardship’ (Findable, Accessible, Interoperable, Reusable). The CARE Principles build upon earlier work by the Te Mana Raraunga Maori Data Sovereignty Network, US Indigenous Data Sovereignty Network, Maiam nayri Wingara Aboriginal and Torres Strait Islander Data Sovereignty Collective, and numerous Indigenous Peoples, nations, and communities. The goal is that stewards and other users of Indigenous data will ‘Be FAIR and CARE.’ In this first formal publication of the CARE Principles, we articulate their rationale, describe their relation to the FAIR Principles, and present examples of their application….(More)” See also Selected Readings on Indigenous Data Sovereignty.

To mitigate the costs of future pandemics, establish a common data space


Article by Stephanie Chin and Caitlin Chin: “To improve data sharing during global public health crises, it is time to explore the establishment of a common data space for highly infectious diseases. Common data spaces integrate multiple data sources, enabling a more comprehensive analysis of data based on greater volume, range, and access. At its essence, a common data space is like a public library system, which has collections of different types of resources from books to video games; processes to integrate new resources and to borrow resources from other libraries; a catalog system to organize, sort, and search through resources; a library card system to manage users and authorization; and even curated collections or displays that highlight themes among resources.

Even before the COVID-19 pandemic, there was significant momentum to make critical data more widely accessible. In the United States, Title II of the Foundations for Evidence-Based Policymaking Act of 2018, or the OPEN Government Data Act, requires federal agencies to publish their information online as open data, using standardized, machine-readable data formats. This information is now available on the federal data.gov catalog and includes 50 state- or regional-level data hubs and 47 city- or county-level data hubs. In Europe, the European Commission released a data strategy in February 2020 that calls for common data spaces in nine sectors, including healthcare, shared by EU businesses and governments.

Going further, a common data space could help identify outbreaks and accelerate the development of new treatments by compiling line list incidence data, epidemiological information and models, genome and protein sequencing, testing protocols, results of clinical trials, passive environmental monitoring data, and more.

Moreover, it could foster a common understanding and consensus around the facts—a prerequisite to reach international buy-in on policies to address situations unique to COVID-19 or future pandemics, such as the distribution of medical equipment and PPE, disruption to the tourism industry and global supply chains, social distancing or quarantine, and mass closures of businesses….(More). See also Call for Action for a Data Infrastructure to tackle Pandemics and other Dynamic Threats.

AI’s Wide Open: A.I. Technology and Public Policy


Paper by Lauren Rhue and Anne L. Washington: “Artificial intelligence promises predictions and data analysis to support efficient solutions for emerging problems. Yet, quickly deploying AI comes with a set of risks. Premature artificial intelligence may pass internal tests but has little resilience under normal operating conditions. This Article will argue that regulation of early and emerging artificial intelligence systems must address the management choices that lead to releasing the system into production. First, we present examples of premature systems in the Boeing 737 Max, the 2020 coronavirus pandemic public health response, and autonomous vehicle technology. Second, the analysis highlights relevant management practices found in our examples of premature AI. Our analysis suggests that redundancy is critical to protecting the public interest. Third, we offer three points of context for premature AI to better assess the role of management practices.

AI in the public interest should: 1) include many sensors and signals; 2) emerge from a broad range of sources; and 3) be legible to the last person in the chain. Finally, this Article will close with a series of policy suggestions based on this analysis. As we develop regulation for artificial intelligence, we need to cast a wide net to identify how problems develop within the technologies and through organizational structures….(More)”.

Trace Labs


Trace Labs is a nonprofit organization whose mission is to accelerate
the family reunification of missing persons while training members in
the trade craft of open source intelligence (OSINT)….We crowdsource open source intelligence through both the Trace Labs OSINT Search Party CTFs and Ongoing Operations with our global community. Our highly skilled intelligence analysts then triage the data collected to produce actionable intelligence reports on each missing persons subject. These intelligence reports allow the law enforcement agencies that we work with the ability to quickly see any new details required to reopen a cold case and/or take immediate action on a missing subject.(More)”

The Potential Role Of Open Data In Mitigating The COVID-19 Pandemic: Challenges And Opportunities


Essay by Sunyoung Pyo, Luigi Reggi and Erika G. Martin: “…There is one tool for the COVID-19 response that was not as robust in past pandemics: open data. For about 15 years, a “quiet open data revolution” has led to the widespread availability of governmental data that are publicly accessible, available in multiple formats, free of charge, and with unlimited use and distribution rights. The underlying logic of open data’s value is that diverse users including researchers, practitioners, journalists, application developers, entrepreneurs, and other stakeholders will synthesize the data in novel ways to develop new insights and applications. Specific products have included providing the public with information about their providers and health care facilities, spotlighting issues such as high variation in the cost of medical procedures between facilities, and integrating food safety inspection reports into Yelp to help the public make informed decisions about where to dine. It is believed that these activities will in turn empower health care consumers and improve population health.

Here, we describe several use cases whereby open data have already been used globally in the COVID-19 response. We highlight major challenges to using these data and provide recommendations on how to foster a robust open data ecosystem to ensure that open data can be leveraged in both this pandemic and future public health emergencies…(More)” See also Repository of Open Data for Covid19 (OECD/TheGovLab)