1. What qualitative systems mapping is and what it could be: integrating and visualizing diverse knowledge of complex problems 

   Hanger-Kopp, Susanne; Lemke, Leonard Kwhang-Gil; Beier, Julia (2024)

   Sustainability Science

   Researchers in sustainability science deal with increasingly complex problems that cross administrative, geographical, disciplinary, and sectoral boundaries, and are characterized by high stakes and deep uncertainties. This in turn creates methodological challenges to frame, structure, and solve complex problems in science and practice. There is a long tradition in visualizing systems as diagrams, and concept and cognitive maps, but there ...

   Journal Article

2. Mutation Rate and Effective Population Size of the Model Cooperative Bacterium Myxococcus xanthus 

   Wielgoss S.; Van Dyken J.D.; Velicer G.J. (2024)

   Genome Biology and Evolution

   Intrinsic rates of genetic mutation have diverged greatly across taxa and exhibit statistical associations with several other parameters and features. These include effective population size (Ne), genome size, and gametic multicellularity, with the latter being associated with both increased mutation rates and decreased effective population sizes. However, data sufficient to test for possible relationships between microbial multicellularity ...

   Journal Article

3. ML Training with Cloud GPU Shortages: Is Cross-Region the Answer? 

   Strati F.; Elvinger P.; Kerimoglu T.; et al. (2024)

   EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems

   The widespread adoption of ML has led to a high demand for GPU hardware and consequently, severe shortages of GPUs in the public cloud. Allocating a sufficient number of GPUs to train or fine-tune today’s large ML models in a single cloud region is often difficult. Users can get access to more GPUs if they are willing to run a ML training job using devices across different geographical regions. However, GPU nodes are connected with lower ...

   Conference Paper

4. SmartWood: field-based analysis of large wood movement dynamics using inertial measurement units (IMUs) 

   Spreitzer G.; Schalko I.; Boes R.M.; et al. (2024)

   Environmental Sciences Europe

   Wood plays an important ecological role in rivers. Yet challenges arise when large wood (LW) is mobilised and transported during floods. Due to a lack of quantitative data, movement behaviour of LW during floods is still not well understood to date. A proof-of-concept study was conducted at three Swiss rivers to test state-of-the-art sensor-tagged logs, so-called “SmartWood” and collect quantitative field-scale data about LW movement ...

   Journal Article

5. What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks 

   Sokol, Kacper; Vogt, Julia E. (2024)

   Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

   Conference Proceedings

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