Impact of the Coronavirus Disease 2019 Pandemic on Cardiac Surgical Education in North America

Objective We report the impact of the coronavirus disease 2019 (COVID-19) pandemic on cardiac surgery trainee education in North America. Methods A survey was sent to participating academic adult cardiac surgery centers in North America. Data regarding the effect of COVID-19 on cardiac surgery training were analyzed. Results Responses were received from 53 academic institutions with diverse geographic distribution. Cardiac surgery trainee re-deployment to alternative clinical duties peaked at the height of the pandemic. We stratified institutions based on high ( n = 20) and low burden ( n = 33) of patients hospitalized with COVID-19. The majority of institutions have converted didactics (high burden 90% vs low burden 73%) and interviews for jobs/fellowships (high burden 75% vs low burden 73%) from in-person to virtual. Institutions were mixed in preference for administration of the licensing examination, with the most common preference for examinations to be held remotely on normal timeline (high burden 45% vs low burden 30%) or in person with more than 3-month delay (high burden 20% vs low burden 33%). Despite the challenges experienced during the COVID-19 pandemic on trainee clinical experience, re-deployment, and decreased operative volume, institutions expected their trainees to graduate on schedule (high burden 95% vs low burden 91%). Conclusions Our study demonstrates that actions taken during the COVID-19 pandemic has led to disruptions in cardiac surgery training with transition of didactics and interviews virtually and re-deployment to alternative duties. Despite this, institutions remain optimistic that their trainees will graduate on schedule.

Towards trustworthy blockchains: normative reflections on blockchain-enabled virtual institutions

This paper proposes a novel way to understand trust in blockchain technology by analogy with trust placed in institutions. In support of the analysis, a detailed investigation of institutional trust is provided, which is then used as the basis for understanding the nature and ethical limits of blockchain trust. Two interrelated arguments are presented. First, given blockchains’ capacity for being institution-like entities by inviting expectations similar to those invited by traditional institutions, blockchain trust is argued to be best conceptualized as a specialized form of trust in institutions. Keeping only the core functionality and certain normative ideas of institutions, this technology broadens our understanding of trust by removing the need for third parties while retaining the value of trust for the trustor. Second, the paper argues that blockchains’ decentralized nature and the implications and effects of this decentralization on trust issues are double-edged. With the erasure of central points, the systems simultaneously crowd out the pivotal role played by traditional institutions and a cadre of representatives in meeting their assigned obligations and securing the functional systems’ trustworthy performances. As such, blockchain is positioned as a technology containing both disruptive features that can be embedded with meaningful normative values and inherent ethical limits that pose a direct challenge to the actual trustworthiness of blockchain implementations. Such limits are proposed to be ameliorated by facilitating a shift of responsibility to the groups of people directly associated with the engendering of trust in the blockchain context.

Cultural-Pedagogical Norms in Iranian Virtual Higher Education Institutions

By discussing the cultural-pedagogically inscribed norms, this chapter argues that, regarding the design and implementation of e-learning from the perspective of globalization, it is critically important to recognize, understand, and thus take into account cultural situatedness. Such cultural-pedagogical norms are often taken for granted in educational settings. Drawing on the literature, this study presents a model of cultural-pedagogical paradigms in higher education in general and e-learning in particular. The authors use this model to explore cultural-pedagogical orientations in Iranian virtual institutions as an instance of a developing country. This is done from a comparative perspective, looking to the similarities and differences of teachers’ and learners’ points of view.

A System for Governmental Virtual Institutions based on Ontologies and Interaction Protocols

The authors believe that the adoption of virtual worlds is suitable for electronic government applications as it can increase the capillarity of public services, facilitate the access to government services and provide citizens with a natural and immersive experience. They present a Government Virtual Institution Model (GVI) for the provision of public services that satisfies relevant issues such as: adaptability to different citizen education level and to heterogeneous government systems; alignment with government services requirements related to security, privacy, reliability and scalability; and government interoperability requirements. The model of the GVI, the government services and the information flow across the GVI are formally described using the JamSession platform (Correa da Silva, 2011). The model of the GVI uses an architecture based on governmental patterns (including ontologies for information representation) to deal with the connections to the governmental systems, and 3D virtual world simulation systems to interact with citizens.

Normative design using inductive learning

In this paper we propose a use-case-driven iterative design methodology for normative frameworks, also called virtual institutions, which are used to govern open systems. Our computational model represents the normative framework as a logic program under answer set semantics (ASP). By means of an inductive logic programming approach, implemented using ASP, it is possible to synthesise new rules and revise the existing ones. The learning mechanism is guided by the designer who describes the desired properties of the framework through use cases, comprising (i) event traces that capture possible scenarios, and (ii) a state that describes the desired outcome. The learning process then proposes additional rules, or changes to current rules, to satisfy the constraints expressed in the use cases. Thus, the contribution of this paper is a process for the elaboration and revision of a normative framework by means of a semi-automatic and iterative process driven from specifications of (un)desirable behaviour. The process integrates a novel and general methodology for theory revision based on ASP.