The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute (...) hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use. (shrink)

We are likely to have immersive virtual reality and ubiquitous augmented reality in the coming decades. At least some people will use extended reality or “the metaverse” to work, play and shop. In order to achieve the best possible versions of this virtual future, however, we will need to learn from three decades of regulating the Internet. The new virtual world cannot consist of walled corporate fiefdoms ruled only by profitmaximization. The interests of workers, consumers and citizens in virtuality require (...) proactive legislation and oversight. -/- This white paper first addresses the central question the metaverse poses, whether virtual life is inherently more alienating and less authentic than face-to-face life experiences. This question is both a philosophical question about the nature of the good life and an empirical question about the accumulating evidence about the impacts of the digital on subjective well-being. -/- . (shrink)

Extended Reality (XR) and Large Language Model (LLM) technologies have the potential to significantly influence higher education practices and pedagogy in the coming years. As these emerging technologies reshape the educational landscape, it is crucial for educators and higher education professionals to understand their implications and make informed policy decisions for both individual courses and universities as a whole. -/- This paper has two parts. In the first half, we give an overview of XR technologies and their potential future role (...) in higher education. Then, we discuss the benefits and challenges of adopting and integrating XR technologies into higher education settings. Finally, we offer recommendations for educators, administrators, and policymakers on how to approach the adoption of this set of technologies and set institutional policy to take advantage of its benefits while minimizing its potential negative consequences. -/- In the paper’s second half, we discuss LLMs - specifically Generative Pre-trained Transformers (GPTs). Again, we provide an overview of this rapidly developing technology and examine its unprecedented and potentially disruptive impact on higher education pedagogy. We delve into the benefits and limitations of GPTs, highlighting the pedagogical and ethical challenges they may pose. Finally, we present actionable recommendations for instructors and administrators at both the course level and the university-wide level to guide policy decisions concerning these transformative technologies. (shrink)

The mental health crisis and loneliness epidemic have sparked a growing interest in leveraging artificial intelligence (AI) and chatbots as a potential solution. This report examines the benefits and risks of incorporating chatbots in mental health treatment. AI is used for mental health diagnosis and treatment decision-making and to train therapists on virtual patients. Chatbots are employed as always-available intermediaries with therapists, flagging symptoms for human intervention. But chatbots are also sold as stand-alone virtual therapists or as friends and lovers. (...) There is evidence that these uses of AI and chatbots can provide better quality service, improve accessibility, and lower costs. The systems can reduce the stigma and shame of sharing their problems and leverage a mass of biometric and behavioral data to supplement self-reports. As the systems' intelligence rapidly improves, they will need to be rigorously tested for the accuracy and precision of their diagnoses and the quality of their interactions with patients. As chatbots become indistinguishable from humans and leverage their superhuman capacity to detect affect and draw on knowledge of a patient’s life, patients will be drawn to attribute personality to and relationship with the chatbot. Consequently, it will be essential to study what the “therapeutic alliance” with an actual human counselor provides and the risks of patients attributing such a relationship to a one-sided or “parasocial” relationship. (shrink)

Background: In response to the pandemic caused by COVID-19, World Health Organization (WHO), together with International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC), developed research protocols facilitating global collaboration and accelerating the understanding of the disease, to identify the potential symptoms and persistent sequelae in infected individuals, which can be used in different areas of health, that is, in primary care, at a hospital or outpatient level, both public and private. Objective: To describe the International Severe Acute Respiratory and (...) Emerging Infection Consortium (ISARIC) protocol as a new global collaborative platform for global clinical trials targeting post-COVID-19 patients. Methods: The standardized forms were developed from the COVID-19 Clinical Characterization Protocol (PCC) by the ISARIC/WHO working group composed of specialist researchers with experience in clinical research in different areas of medicine and public health, especially outbreaks and infectious diseases. Conclusion: It is expected that the creation of a database composed of different populations from all over the world will help in the characterization of risk factors, in the best form of clinical intervention and in the best prevention strategies for physical, neurological and psychosocial sequelae in the medium and long term in post-COVID-19 patients. (shrink)

We can distinguish between ambitious metanormative constructivism and a variety of other constructivist projects in ethics and metaethics. Ambitious metanormative constructivism is the project of either developing a type of new metanormative theory, worthy of the label “constructivism”, that is distinct from the existing types of metaethical, or metanormative, theories already on the table—various realisms, non-cognitivisms, error-theories and so on—or showing that the questions that lead to these existing types of theories are somehow fundamentally confused. Natural ways of pursuing the (...) project of ambitious metanormative constructivism lead to certain obvious, and related, worries about whether the ambitions are really being achieved—that is whether we really are being given a distinctive theory. I will argue that responding to these initial worries pushes ambitious metanormative constructivism towards adopting a kind of position that I will call “constructivism all the way down”. Such a position does see off most of the above initial worries. Drawing on the work of Ralph Walker and Crispin Wright, I argue, however, that it faces a distinct objection that is a descendent of Bertrand Russell’s Bishop Stubbs objection against coherentist theories of truth. I grant that the constructivist need not be a coherentist about truth. I argue, however, that despite this the constructivist cannot escape my version of the objection. I also distinguish between this objection and various traditional charges of circularity, regress, relativism, or psychologistic reductionism. (shrink)