Suchergebnisse

Bold new approaches are urgently needed to overcome global health challenges. The proposed Advanced Research Projects Agency for Health (ARPA-H) is intended to provide rapid health breakthroughs. While new technologies for earlier disease detection and more effective treatment are critical, we urge equal attention be given to the wider (physical, emotional, social, political, and economic) environmental ecosystems driving the non-communicable disease (NCD) crisis in the first place. This requires an integrated, cross-sectoral vision that spans the interwoven connections affecting health across the scales of people, places, and planet. This wider "exposome" perspective considers biopsychosocial factors that promote resilience and reduce vulnerabilities of individuals and communities over time—the many variables driving health disparities. Since life course health is strongly determined by early life environments, early interventions should be prioritized as a matter of effectiveness and social justice. Here, we explore the origins of the Advanced Research Project Agency and point to its potential to build integrated solutions, with wisdom and ethical value systems as a compass. Since the planned ARPA-H is anticipated to spawn international collaborations, the imagined concept is of relevance to a broad audience of researchers. With appropriate input, the quest for health equity through personalized, precision medicine while deconstructing unacceptable structural inequities may be accelerated.

ABSTRACTThe extensive debate over trade liberalization policies in the United States holds a general consensus that some industries will benefit while others will not. This paper explores the impact of the North American Free Trade Agreement on U.S. retailers in states located along the border with Mexico. Overall, the impact of trade on U.S. border retailers has been beneficial. However, the results demonstrate that retailers in the region are vulnerable to exchange rate fluctuations and other macroeconomic influences that change the relative price ratio between the United States and Mexico. Furthermore, retailers in metropolitan statistical areas that have a relatively high concentration of retail sector employment are more susceptible to these changes.

Purpose
This study aims to explore the opportunities offered by interactive and situated learning (e-learning and m-learning) in support of education for sustainability in disciplines of the built environment.


Design/methodology/approach
The paper illustrates the development of an online portal and a mobile app aimed at promoting students' motivation and engagement with sustainability in design, and discusses the outcomes of their testing, investigating users' acceptance, comparing academic results and analysing feedback.


Findings
The findings add empirical evidence to the view that information and communication technology-enhanced pedagogies can substantially contribute to the agenda of sustainability in higher education, primarily due to their affordance of interactive communication and contextualisation of knowledge, while guaranteeing flexible time and pace of learning.


Research limitations/implications
The study solely focused on the development and testing of e-learning and m-learning tools to foster students' competence of sustainability in design studio work. The tools trialled were mostly at their prototypical stage and their testing included a relatively short-term evaluation and a narrow, self-selected, user base. However, the approach and findings are felt to be applicable to a much wider range of educational contexts.


Originality/value
Interactive and situated pedagogical methods and tools have the potential to prompt a departure from transmissive educational models, encompassing at once theoretical, experiential and analytic learning processes. This is of value to education for sustainability in disciplines of the built environment due to the requirement to holistically consolidate multi-/inter-/trans-disciplinary knowledge into a coherent design whole.

Modelling social phenomena in large-scale agent-based simulations has long been a challenge due to the computational cost of incorporating agents whose behaviors are determined by reasoning about their internal attitudes and external factors. However, COVID-19 has brought the urgency of doing this to the fore, as, in the absence of viable pharmaceutical interventions, the progression of the pandemic has primarily been driven by behaviors and behavioral interventions. In this paper, we address this problem by developing a large-scale data-driven agent-based simulation model where individual agents reason about their beliefs, objectives, trust in government, and the norms imposed by the government. These internal and external attitudes are based on actual data concerning daily activities of individuals, their political orientation, and norms being enforced in the US state of Virginia. Our model is calibrated using mobility and COVID-19 case data. We show the utility of our model by quantifying the benefits of the various behavioral interventions through counterfactual runs of our calibrated simulation.