This study explores the influence of uncertain boundary climate conditions on the hygrothermal performance of an internally insulated historic masonry wall using numerical simulations. The research compares diverse internal and external climate data sources to evaluate their reliability. A pre-validated hygrothermal simulation model serves as the benchmark for comparing simulated data with actual monitoring data. An array of climate data sources, including adaptive indoor climate models defined in the EN 15026 and UNI EN ISO 13788 standards, Typical Meteorological Years, and ground weather station data are considered. The core assessment parameters are temperature and relative humidity values beneath the insulation. Unexpectedly, the findings reveal that external climate conditions have a minor influence on the simulation results. Conversely, internal climate conditions significantly impact the outcomes, causing substantial variations. These implications underline the criticality of selecting an appropriate indoor climate model and moisture load class. The incorrect choice can lead to substantial errors, with peak relative humidity values predicted by the models varying in a range greater than 15 percentage points of relative humidity. In conclusion, the study reveals that utilizing Typical Meteorological Years and adaptive indoor climate models still yields excellent results, despite the inherent uncertainties. Moreover, this study emphasizes the importance of carefully selecting suitable indoor climate models to enhance the accuracy of hygrothermal simulations in historic buildings and underlines the need for future research focused on developing more precise guidelines for identifying the correct moisture load classes.

Interior insulation plays a key role in reducing the energy consumption of historic buildings. However, it might cause moisture accumulation
and must be thoroughly analyzed. The use of recycled materials allows for further reduction of environmental impact. This paper presents
the study of a new insulating plaster containing aerogel and recycled glass used as capillary active interior insulation system. Firstly, the
hygrothermal properties of the material are measured in laboratory to obtain a complete characterization. Laboratory tests results are post-
processed to obtain the data required as input by the simulation software. Finally, hygrothermal simulations are carried out to investigate
the material’s behavior in realistic application scenarios and to study how different input parameters affect the results.

Humidity, salt content, and migration in building materials lead to weathering and are a common challenge. To understand damage phenomena and select the right conservation treatments, knowledge on both the amount and distribution of moisture and salt load in the masonry is crucial. It was shown that commercial portable devices addressing moisture are often limited by the mutual interference of these values. This can be improved by exploiting broadband radar reflectometry for the quantification of humidity in historic masonry. Due to the above-mentioned limitations, today’s gold standard for evaluating the moisture content in historic buildings is still conducted by taking drilling samples with a subsequent evaluation in a specially designed laboratory, the so-called Darr method. In this paper, a new broadband frequency approach in the range between 0.4 and 6 GHz with improved artificial-intelligence data analysis makes sure to optimize the reflected signal, simplify the evaluation of the generated data, and minimise the effects of variables such as salt contamination that influence the permittivity. In this way, the amount of water could be determined independently from the salt content in the material and an estimate of the salt load. With new machine learning algorithms, the analysis of the permittivity is improved and can be made accessible for everyday use on building sites with minimal intervention by the user. These algorithms were trained with generated data from different drying studies on single building bricks from the masonries. The findings from the laboratory studies were then validated and evaluated on real historic buildings at real construction sites. Thus, the paper shows a spatially resolved and salt-independent measurement system for determining building moisture.

Kulturelle Bildung – ein Containerbegriff, welcher mit verschiedensten Merkmalen assoziiert ist. Wie verstehen lokale Akteur*innen Kulturelle Bildung, und wie kann dies zur Begriffsschärfung bezüglich der Strukturen, Angebote, Dimensionen und Wirkung Kultureller Bildung beitragen?
Für eine erste Annäherung an diese Frage wurden 34 Akteur*innen aus verschiedenen Sektoren Kultureller Bildung aus der Region und Stadt Coburg in leitfadengestützten Expert*inneninterviews befragt und die Interviews mittels qualitativer Inhaltsanalyse ausgewertet. Die Ergebnisse geben einen Überblick über die Perspektive lokaler Akteur*innen auf die aktuelle Lage Kultureller Bildung in der Stadt und Region Coburg (Oberfranken), auf Wirkpotenziale sowie Vernetzungs- und Förderbedarfe. Der besondere Zeitpunkt der Erhebung (August – Dezember 2020) ermöglicht darüber hinaus Einblicke in die Kulturelle Bildung während der COVID-19 Pandemie, beschreibt diesbezügliche Veränderungen und hinterfragt diese kritisch.  Darüber hinaus setzt die differenziert kategorisierende Analyse von Begriffsverständnissen, Strukturen und Dimensionen aus der Perspektive lokaler Akteur*innen Impulse für zukünftige, auch konturiert quantifizierende Forschung im Feld der Kulturellen Bildung.