Democratising large scale instrument-based science through e-Infrastructure

Modern scientific instruments are becoming essential for discoveries because they provide unprecedented insight into physical or biological events - often in real time. However, these instruments may generate large amounts of data, and increasingly they require sophisticated e-infrastructure for analysis, storage and archive. The increasing complexity and scale of the data, processing steps and systems has made it difficult for domain scientists to perform their research, narrowing the user base to a select few. In this paper, we present a framework that democratises large-scale instrument-based science, increasing the number of researchers who can engage. We discuss a prototype at the University of Queensland. The system is illustrated through two case studies, one involving light microscopy imaging of the innate immune system, and the other electron microscopy imaging of the SARS-CoV-2 viral proteins. © 2022 IEEE.

From information to intervention: connecting risk communication to individual health behavior and community-level health interventions during the 2016 Zika outbreak. (Special Issue: COVID-19.)

Emerging disease threats are on the rise. Risk communication in an emerging threat is used by public health officials to reach the population in a timely and effective manner. However, limited research has drawn on data gathered during an emerging threat to understand how risk communication shapes intervention perceptions. This analysis examines the relationship between risk communication, especially where information comes from, and receptivity to individual-level and community-level health interventions in an emerging threat using evidence from the 2016 rise of Zika. Data comes from a repeat cross-sectional survey conducted three times in 2016, representative of the United States population. Drawing on leading theories of risk communication, a structural model (SEM) is used to measure the relationships of interest. Two distinct SEMs are used to compare and contrast the relationship between source of information and individual health behavior change and community-level health interventions while also exploring the role of knowledge, perceived risk, and demographics. Results of both direct and indirect SEM pathways show different sources of information may be more effective in promoting particular interventions. Promoting community-level interventions can be accomplished through dissemination of information in print news to increase knowledge and ultimately receptivity. However, there is a far more complex relationship between risk communication and personal intervention receptivity. With a more nuanced understanding of the way information from a particular source effects intervention receptivity, communicators can reach the public more effectively to limit the consequences of an emerging public health threat.