Conversations that Count: Lessons From Evaluating a Men’s Digital Mental Health Response During COVID-19

This paper details disruption and innovation in digital evaluation practice at Movember, as a result of the COVID-19 pandemic. The paper examines a men’s digital health intervention (DHI) – Movember Conversations – and the product pivot that was necessary to ensure it could respond to the pandemic. The paper focuses on the implications of the pivot for the evaluation and how the evaluation was adapted to the COVID-19 exigencies. It details the redesign of the evaluation to ensure methods wrapped around the modified product and could deliver real-time, practical insights. The paper seeks to fill knowledge gaps in the DHI evaluation space and outlines four key principles that support evaluation re-design in an agile setting. These include a user-centred approach to evaluation design, proportionate data collection, mixed (and flexible) methodologies, and agile evaluation reporting. The paper concludes with key lessons and reflections from the evaluators about what worked at Movember, to support other evaluators planning digital evaluations.

Digital University Teaching and Learning in Management—The Gini from the COVID-19 Bottle and Its Empirical Representations in Germany

Digitalization of teaching, learning, and assessment in higher education has gained increasing attention in research in the recent years. While previous research investigated issues of effectiveness, course attendance, and course evaluation from a long-term perspective, the current COVID-19 pandemic forced higher education institutions to digitalize teaching, learning, and assessment in a very short time. In this context, we investigate the effects of the digitalization of three courses from operations research and management science in the summer term 2020, namely two large lectures and tutorials for undergraduate, and a seminar for graduate students. To that end, student performance, course and exam attendance rates, and course evaluations are compared to the setting of the same courses in the previous year 2019 with a traditional, non-digitalized setting. Next to the quantitative data, qualitative statements from the course evaluations and students’ expectations expressed during the term are investigated. Findings indicate that the lecturers’ understanding of learning behavior has to develop further as interaction is required in any format, on-site or digital. Absenteeism and procrastination are important risk areas especially in digital management education. Instruments would have to be adapted to digital settings, but with care and relating to course specifics (including digital evaluation). Digital education does not make learning per se easier or harder, but we observed that the students’ understanding and performance gap increased in digital teaching times. As an outlook, we propose the longitudinal investigation of the ongoing digitalization during the COVID-19 pandemic, and going beyond, investigate opportunities of the current crisis situation for implementing the long-term transition to digital education in higher institution institutions.

Embodied Carbon and Embodied Energy Scenarios in the Built Environment. Computational Design Meets EPDs

This article aims to study the political, environmental and economic factors in contemporary society that influence new approaches and decision making in design in terms of carbon emissions and energy employment. These issues are increasingly influencing political decision making and public policy throughout every aspect of society, including the design practice. Managing this kind of complexity means adopting new forms of collaboration, methodologies and tools, knowledge and technology sharing. The article aims to narrate a PhD research experience grounded in academy–industry collaboration and aimed at creating a digital methodology for impact evaluation and investment planning. In particular, the digital methodology focuses on responding to international public policy for the sustainable growth of cities, in terms of footprint and energy demand, by including a holistic view of the design process made possible by the use of life-cycle assessment (LCA) procedures. To simplify the calculation, the methodology focuses on the Environmental Product Declaration (EPD) data rather than the entire LCA. The EPD is a document that describes the environmental impacts linked to the production of a specific quantity of product or service. The objective was not to create another evaluation method but to employ the EPD results in combination with parametric and computational procedures. The integration of those procedures by using visual programming and scripting allowed the calculation of Embodied Carbon and Embodied Energy and created a user-friendly interface to query the results. The output obtained included automatic and dynamic diagrams able to identify impact scenarios in terms of CO2 emissions and MJ of embodied energy after the conceptual design stage. The strategic use of the charts lies in their potential to simulate impact conditions and, therefore, in the chance to create sustainable transformation scenarios in the early stages of design. At this point, the influence on choices is at its highest, and the costs are low. Moreover, the methodology represents a platform of collaboration that potentially increases the level of interaction between the actors of the construction process with the consequent improvement in design quality. In conclusion, building the design methodology and testing its performance within a specific sociotechnical context was important in critically evaluating certain topics, for example, the recent European strategies on new technology to reach sustainable objectives, the role of digital tools in proposing solutions towards contemporary social issues, the birth of new forms of partnership and collaboration and the new possibilities coming from digital evaluation approaches.

A new digital evaluation protocol applied in a retrospective analysis of periodontal plastic surgery of gingival recessions

This research aimed to develop a new digital evaluation protocol to objectively quantify the volumetric changes of root coverage periodontal plastic surgery when combined with connective tissue graft. Consecutive patients with Cairo recession type 1 (RT1) or Cairo recession type 2 (RT2) were treated. Accurate study models obtained at baseline and follow-ups were optically scanned. Healing dynamics were measured by calculating volume differences between time points. Nineteen patients were treated between December 2014 and January 2019. At 3-month follow-up, root coverage was 95.6% (± 14.5%) with tunnel and connective tissue graft (TUN + CTG) technique, and 88.9% (± 20.5%) with the vestibular incision subperiosteal tunnel access and connective tissue graft (VISTA + CTG) technique. Recession decreased 1.33 (± 0.86) mm and 1.42 (± 0.92) mm, respectively (p = 0.337). At 6-month follow-up, root coverage was 96.5% (± 10.4%) with the TUN + CTG and 93.9% (± 10.3%) with the VISTA + CTG. Recession decreased 1.35 (± 0.85) mm and 1.45 (± 0.82) mm, respectively (p = 0.455). Complete root coverage was achieved in 86.7% (± 0.4%) with TUN + CTG and 70.6% (± 0.5%) with VISTA + CTG. No statistically significant differences were found between techniques. The digital protocol presented proved to be a non-invasive technique for accurate measurements of clinical outcomes. Both techniques reduce gingival recessions, with no statistically significant differences.

Integration of One-Pair Spatiotemporal Fusion With Moment Decomposition for Better Stability

Spatiotemporal fusion has got enough attention and many algorithms have been proposed, but its practical stability has not been emphasized yet. Observing that the strategies harnessed by different types of algorithms may lead to various tendencies, an integration strategy is introduced to make full use of the complementarity between different types of spatiotemporal fusion algorithms for better fusion stability. In our method, the images fused by two different types of methods are decomposed into components denoting strength, structure, and mean intensity, which are combined separately involving a characteristic analysis. The proposed method is compared with seven algorithms of four types by reconstructing Landsat-8, Landsat-7, and Landsat-5 images to validate the effectiveness of the spatial fusion strategy. The digital evaluation on radiometric, structural, and spectral loss illustrates that the proposed method can reach or approach the optimal performance steadily.