The UN Sustainable Development Goals (SDGs) present a global agenda addressing social, economic, and environmental challenges in a holistic approach. Universities can contribute to the implementation of the SDGs by providing know-how and best-practice examples to support implementation and by integrating issues of sustainability into their operations, research, education, and science-society interactions. In most of the signatory countries of the Agenda 2030, an overview of the extent to which universities have already addressed the SDGs in research is not available. Using the example of universities in Austria, this study presents a tool to map research that addresses sustainability topics as defined by the SDGs. The results of an analysis of scientific projects and publications show current focus areas of SDG related research. Research on SDG 3 (Good Health and Well-Being) and SDG 4 (Quality Education) is well represented by universities in Austria, while other SDGs, such as SDG 1 (No Poverty) or SDG 14 (Life Below Water), are under-represented research fields. We anticipate the results will support universities in identifying the thematic orientation of their research in the framework of the SDGs. This information can facilitate inter-university cooperation to address the challenge of implementing the SDGs.

This article looks at transdisciplinary research and discusses the possibilities of translating this concept into a new type of education, which we will call Transdisciplinary Education. Following the adoption of the Sustainable Development Goals by the community of states, there has been increased international recognition of education as being a key driver for sustainable development. Considering the global grand challenges of the 21st century, the integration of Education for Sustainable Development at all school levels ought to be prioritized in order to empower young people to contribute to sustainable development. Collaborating with out-of-school partners and doing research on real-world problems within their lifeworld, help students develop the competences necessary for responsible citizenship, while at the same time contributing to community well-being. Both concepts transdisciplinary research and Transdisciplinary Education acknowledge the responsibility of addressing social relevant problems and the significant role of those who are and who will be affected by these challenges. The project Science Education for Action and Engagement Towards Sustainability (SEAS) aims at analyzing different partnerships between schools and out-of-school institutions in European countries. By comparing the collaborative formats and providing a concept and method pool for educators, SEAS targets facilitating the integration of Transdisciplinary Education in formal schooling in the future. This article gives insights into the Austrian research-education collaboration k.i.d.Z.21. Drawing on experiences of k.i.d.Z.21 and taking up characteristics of transdisciplinary research, opportunities and challenges of integrating Transdisciplinary Education in formal schooling are discussed.

Satellite-based long-term observations of vegetation cover development in combination with recent in-situ observations provide a basis to better understand the spatio-temporal changes of vegetation patterns, their sensitivity to climate drivers and thus climatic impact on proglacial landscape development. In this study we combined field investigations in the glacier forelands of Fürkele-, Zufall- and Langenferner (Ortles-Cevedale group/Eastern Italian Alps) with four different Vegetation Indices (VI) from Landsat scenes in order to test the suitability for modelling an area-wide vegetation cover map by using a Bayesian beta regression model (RStan). Since the model with the Normalized Difference Vegetation Index (NDVI) as predictor showed the best results, it was used to calculate a vegetation cover time series (1986–2019). The alteration of the proglacial areas since the end of the Little Ice Age (LIA) was analyzed from digital elevation models based on Airborne Laser Scanning (ALS) data and areal images, orthophotos, historical maps and field mapping campaigns. Our results show that a massive glacier retreat with an area loss of 8.1 km² (56.9%; LIA–2019) resulted in a constant enlargement of the glacier forelands, which has a statistically significant impact on the degree of vegetation cover. The area covered by vegetation increased from 0.25 km² (5.6%) in 1986 to 0.90 km² (11.2%) in 2019 with a significant acceleration of the mean annual changing rate. As patterns of both densification processes and plant colonization at higher elevations can be reflected by the model results, we consider in-situ observations combined with NDVI time series to be powerful tools for monitoring vegetation cover changes in alpine proglacial areas.

The science–education cooperative venture “Our Common Future: ‘eKidZ’—Teach Your Parents Well” explores intergenerational learning processes and the transfer of learning from the younger to the older generation. Students acting as multipliers and their multiplication effect on parents is part of the research setting: 20 high school students, in the role of researchers, investigated the question of whether children who participate in the Climate Change Education (CCE) program “k.i.d.Z.21” passed on their climate-change-related knowledge, attitudes and actions to their parents (n = 91), in comparison to a control group (n = 87). Due to the annual increase in student participants in the CCE project “k.i.d.Z.21” since 2012 (n = 2000), this article can build on the results of a questionnaire regarding the school year 2017/18 (n = 100–120). A Multivariate Analysis of Variance (MANOVA) showed that the “k.i.d.Z.21” project has a multi-faceted knock-on effect on parents, constituting a multiplier effect: increasing knowledge, and, above all, improvements to the child–parent relationship. Additionally, measurable positive effects in the frequency and quality of climate change communication between children and their parents have been observed (Spearman Rank Correlations), but a distinct lack of positive effects regarding changing climate-friendly attitudes or actions have been noted (Pearson Product–Moment Correlation). The importance of the child–parent relationship is a key factor in bridging the knowledge–action gap, and is reviewed in the context of CCE.

Non-communicable diseases, such as hypertension, diabetes, or depression, result from an interplay of physiological, genetic, behavioral, and environmental aspects. Together with climate change, they are arguably among the most significant challenges mankind faces in the 21st century. Additionally, the bidirectional influences of climate change and health on each other are undisputed. Behavioral changes could curb both climate change and the spread of non-communicable diseases. Much effort has been put into information campaigns in both fields, but success has been limited. In the following, the knowledge action gap is compared and analyzed in healthy and climate-friendly behavior from a practical point of view and the supporting theoretical models are highlighted. The analysis shows that self-efficacy plays an essential role in both areas of research for effecting behavioral changes. The models of ‘Planned Behavior’ and ‘Stages of Change’ seems helpful and can be applied and adapted to explain behavioral changes in health and climate changes settings. We compared two previously unrelated research fields to uncover new avenues for further study and stimulate fruitful transdisciplinary discussion. Future directions on how behavioral medicine and climate change research can learn from each other are discussed.

This article presents a flood risk analysis model that considers the spatially heterogeneous nature of flood events. The basic concept of this approach is to generate a large sample of flood events that can be regarded as temporal extrapolation of flood events. These are combined with cumulative flood impact indicators, such as building damages, to finally derive time series of damages for risk estimation. Therefore, a multivariate modeling procedure that is able to take into account the spatial characteristics of flooding, the regionalization method top-kriging, and three different impact indicators are combined in a model chain. Eventually, the expected annual flood impact (e.g., expected annual damages) and the flood impact associated with a low probability of occurrence are determined for a study area. The risk model has the potential to augment the understanding of flood risk in a region and thereby contribute to enhanced risk management of, for example, risk analysts and policymakers or insurance companies. The modeling framework was successfully applied in a proof-of-concept exercise in Vorarlberg (Austria). The results of the case study show that risk analysis has to be based on spatially heterogeneous flood events in order to estimate flood risk adequately.