To foster a sustainable society within a sustainable environment, we must dramatically reshape our work and consumption activities, most of which are facilitated through software. Yet, most software engineers hardly consider the effects on the sustainability of the IT products and services they deliver. This issue is exacerbated by a lack of methods and tools for this purpose. Despite the practical need for methods and tools that explicitly support consideration of the effects that IT products and services have on the sustainability of their intended environments, such methods and tools remain largely unavailable. Thus, urgent research is needed to understand how to design such tools for the IT community properly. In this article, we describe our experience using design science to create the Sustainability Awareness Framework (SusAF), which supports software engineers in anticipating and mitigating the potential sustainability effects during system development. More specifically, we identify and present the challenges faced during this process. The challenges that we have faced and addressed in the development of the SusAF are likely to be relevant to others who aim to create methods and tools to integrate sustainability analysis into their IT products and services development. Thus, the lessons learned in SusAF development are shared for the benefit of researchers and other professionals who design tools for that end.

In a dynamic healthcare landscape, healthcare professionals (HCPs) must be proficient in artificial intelligence (AI). The Clinician Champions Program was created to address these AI education gaps. Over six weeks, three cohorts participated in this interprofessional program, featuring weekly assignments and a capstone project. This study employs a qualitative descriptive approach to assess the program’s effectiveness in enhancing knowledge, confidence, and skills in AI integration. With a 78% completion rate among 158 clinicians, the program utilized engaging methods, including case studies, capstone projects, and reflective learning to meet diverse learning needs. It also emphasized ethical considerations (e.g., IDEA framework) and the importance of extending educational opportunities to various healthcare professionals. The findings highlight the necessity of a diverse, equitable, and inclusive learning environment to bridge AI education gaps in healthcare. The program’s success supports the idea that enhancing AI knowledge and fostering confidence can lead to meaningful AI discussions in healthcare practice. This research offers insights for educators and institutions aiming to address the evolving healthcare needs through innovative interprofessional educational approaches.

Software engineering as a discipline has recognised that software systems can have an impact on sustainability, and researchers have started to investigate this topic. New knowledge is being created and methods, and tools that support software engineering for sustainability are emerging. Several universities have started to train their students in software engineering for sustainability. But what about the millions of SE practitioners who are already designing and developing future software systems - how would they know about making systems sustainable? Currently, there is a lack of consolidated guidance. In this paper, we promote the idea of developing a standardised curriculum and handbook as a basis for the training and certification of practitioners in sustainable software development. This would not only increase their market value but would also have a positive impact on their companies and could help to satisfy customers who demand sustainable software systems.