Trustworthy data-driven prognostics in gas turbine engines are crucial for safety, cost-efficiency, and sustainability. Accurate predictions depend on data quality, model accuracy, uncertainty estimation, and practical implementation. This work discusses data quality attributes to build trust using anonymized real-world engine data, focusing on traceability, completeness, and representativeness. A significant challenge is handling missing data, which introduces bias and affects training and predictions. The study compares the accuracy of predictions using Exhaust Gas Temperature (EGT) margin, a key health indicator, by keeping missing values, using KNN-imputation, and employing a Generalized Additive Model (GAM). Preliminary results indicate that while KNN-imputation can be useful for identifying general trends, it may not be as effective for specific predictions compared to GAM, which considers the context of missing data. The choice of method depends on the study’s objective: broad trend forecasting or specific event prediction, each requiring different approaches to manage missing data.
During the COVID-19 pandemic, the bidirectional relationship between policy and data reliability has been a challenge for researchers of the local municipal health services. Policy decisions on population specific test locations and selective registration of negative test results led to population differences in data quality. This hampered the calculation of reliable population specific infection rates needed to develop proper data driven public health policy. https://doi.org/10.1007/s12508-023-00377-y
Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
Due to their diverse funding sources, theatres are under increasing pressure to demonstrate impact on society. The Raad voor Cultuur (2023) for example advised the secretary of state to include societal impact as an additional evaluation measure next to artistic value. Many theaters, such as the Chassé Theater and Parkstad Limburg Theaters, have reformulated their missions to focus on impact of performances on visitors. This is a profound transformation from merely selling tickets and filling seats, and requires new measurement instruments to monitor, manage, and improve impact. Currently available instruments are insufficient, and effective monitoring is crucial to larger future projects that theaters are currently planning to systematically broaden impacts of performances on their communities. The specific goal of this project is to empower theaters to monitor and improve impact by developing a brief experience impact questionnaire, taking existing data from student projects conducted at the Chassé Theater about performing arts experiences on one hand, and experience impact theory innovations on the other, as starting points. We will develop potential items to measure and benchmark against established measures of valued societal outcomes, such as subjective well-being and quality of life. These will be measured in questionnaires developed with project partners Chassé Theater and Parkstad Limburg Theaters and administered before and after performances across a wide range of genres. The resulting data will enable comparison of new questionnaire items with benchmarked measures of valued societal outcomes. The final product of the project will be a brief impact questionnaire, which within several brief self-report instruments and just a few minutes can effectively be used to quantify the impact of a performing arts experience. A workshop and practice-oriented article will make this questionnaire implementable, thereby mobilizing the key enabling methodology of monitoring and impact measurement in the performing arts sector.
Due to their diverse funding sources, theatres are under increasing pressure to demonstrate impact on society. The Raad voor Cultuur (2023) for example advised the secretary of state to include societal impact as an additional evaluation measure next to artistic value. Many theaters, such as the Chassé Theater and Parkstad Limburg Theaters, have reformulated their missions to focus on impact of performances on visitors. This is a profound transformation from merely selling tickets and filling seats, and requires new measurement instruments to monitor, manage, and improve impact. Currently available instruments are insufficient, and effective monitoring is crucial to larger future projects that theaters are currently planning to systematically broaden impacts of performances on their communities.The specific goal of this project is to empower theaters to monitor and improve impact by developing a brief experience impact questionnaire, taking existing data from student projects conducted at the Chassé Theater about performing arts experiences on one hand, and experience impact theory innovations on the other, as starting points. We will develop potential items to measure and benchmark against established measures of valued societal outcomes, such as subjective well-being and quality of life. These will be measured in questionnaires developed with project partners Chassé Theater and Parkstad Limburg Theaters and administered before and after performances across a wide range of genres. The resulting data will enable comparison of new questionnaire items with benchmarked measures of valued societal outcomes. The final product of the project will be a brief impact questionnaire, which within several brief self-report instruments and just a few minutes can effectively be used to quantify the impact of a performing arts experience. A workshop and practice-oriented article will make this questionnaire implementable, thereby mobilizing the key enabling methodology of monitoring and impact measurement in the performing arts sector.Societal issueThe specific goal of this project is to empower theaters to monitor and improve impact by developing a brief experience impact questionnaire, taking existing data about performing arts experiences on one hand, and experience impact theory innovations on the other, as starting points. Benefit to societyWe will develop potential items to measure and benchmark against established measures of valued societal outcomes, such as subjective well-being and quality of life. Collaborative partnersChassé Theater N.V., Parkstad Limburg Theaters N.V.
