MK
M.L. Kragtwijk
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Misinformation about nutrition during cancer is a prominent form of online health misinformation. As more cancer patients turn to the internet for information about their diagnosis, they may encounter content that promotes exaggerated claims about diets, supplements, or “superfoods” that supposedly cure cancer or improve outcomes. Commercial social media platforms such as Facebook, Instagram, and YouTube play an important role in the spread of such claims, as their engagement-driven infrastructures often amplify misleading information over evidence-based guidance. This thesis investigates how online patient platforms can contribute to mitigating nutrition-related misinformation within this digital information environment, by applying the value-sensitive design methodology to analyse the personal, cultural and infrastructural values shaping online cancer nutrition communication. Empirical data from user discussions on commercial social media platforms and a Dutch online patient platfrom are systematically compared through qualitative content analysis. The study identifies five personal values guiding user engagement: community, safety, freedom, health, and knowledge. These values reveal how users navigate cancer-related nutrition information across different online environments.
Based on these insights, the thesis formulates recommendations for policy, organisation, and platform design aimed at strengthening the role of online patient platforms in addressing nutrition-related misinformation. ...
Based on these insights, the thesis formulates recommendations for policy, organisation, and platform design aimed at strengthening the role of online patient platforms in addressing nutrition-related misinformation. ...
Misinformation about nutrition during cancer is a prominent form of online health misinformation. As more cancer patients turn to the internet for information about their diagnosis, they may encounter content that promotes exaggerated claims about diets, supplements, or “superfoods” that supposedly cure cancer or improve outcomes. Commercial social media platforms such as Facebook, Instagram, and YouTube play an important role in the spread of such claims, as their engagement-driven infrastructures often amplify misleading information over evidence-based guidance. This thesis investigates how online patient platforms can contribute to mitigating nutrition-related misinformation within this digital information environment, by applying the value-sensitive design methodology to analyse the personal, cultural and infrastructural values shaping online cancer nutrition communication. Empirical data from user discussions on commercial social media platforms and a Dutch online patient platfrom are systematically compared through qualitative content analysis. The study identifies five personal values guiding user engagement: community, safety, freedom, health, and knowledge. These values reveal how users navigate cancer-related nutrition information across different online environments.
Based on these insights, the thesis formulates recommendations for policy, organisation, and platform design aimed at strengthening the role of online patient platforms in addressing nutrition-related misinformation.
Based on these insights, the thesis formulates recommendations for policy, organisation, and platform design aimed at strengthening the role of online patient platforms in addressing nutrition-related misinformation.
Student report
(2025)
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J.W.J. Brink, J. Stevens, K.J.M.B. Bout, E.A. van Boxtel, M.L. Kragtwijk, Yoselin Marisol Quib Bac, Sara Elvira Caz Si, Luis Gonzalez, S. Pande, J. Lieu, Linnaea Cahill, A.M.J. Coenders, S. Pasterkamp
This multidisciplinary project, undertaken in collaboration with Community Cloud Forest Conservation (CCFC) in Alta Verapaz, Guatemala, addresses the need for long-term meteorological and hydrological monitoring in the Mestelá River catchment. The tropical montane cloud forest in this region provides essential ecosystem services through canopy cloud water interception and regulation of streamflow, yet continuous, high-quality environmental data remain limited.
To support research and conservation efforts, a 13.5 m scaffolding tower was designed and constructed as a durable, safe, and adaptable measurement platform, engineered for future extension to 25 m. The structural design accounted for local wind loads, dynamic forces, foundation stability, and corrosion resistance, ensuring a projected operational lifespan of 15 years.
Beyond infrastructure, the project developed a hydrological monitoring set-up and a Python-based modelling framework to quantify the canopy water balance and hydrological cycle. Sensor selection, placement, and integration were tailored to capture key meteorological and hydrological variables, including rainfall, fog interception, throughfall, and soil moisture. Data acquisition and storage were configured to function as autonomously as possible under remote, high-humidity cloud forest conditions, while allowing for straightforward periodic maintenance of all components involved.
Recognising that sustainability extends beyond technical performance, the project incorporated cultural and institutional engagement. Workshops and collaborative activities with CCFC staff and local stakeholders were conducted to align the monitoring system with community values, build operational capacity, and foster local ownership. A comprehensive maintenance strategy and guidelines for potential expansion were developed to ensure the continued relevance and adaptability of the system, including options for biodiversity monitoring and additional research applications.
The resulting monitoring platform combines robust engineering, scientific instrumentation, and community integration. It establishes a foundation for long-term data collection that can inform hydrological modelling, climate adaptation strategies, and evidence-based conservation, while embedding the system within the local social and ecological context.
...
To support research and conservation efforts, a 13.5 m scaffolding tower was designed and constructed as a durable, safe, and adaptable measurement platform, engineered for future extension to 25 m. The structural design accounted for local wind loads, dynamic forces, foundation stability, and corrosion resistance, ensuring a projected operational lifespan of 15 years.
Beyond infrastructure, the project developed a hydrological monitoring set-up and a Python-based modelling framework to quantify the canopy water balance and hydrological cycle. Sensor selection, placement, and integration were tailored to capture key meteorological and hydrological variables, including rainfall, fog interception, throughfall, and soil moisture. Data acquisition and storage were configured to function as autonomously as possible under remote, high-humidity cloud forest conditions, while allowing for straightforward periodic maintenance of all components involved.
Recognising that sustainability extends beyond technical performance, the project incorporated cultural and institutional engagement. Workshops and collaborative activities with CCFC staff and local stakeholders were conducted to align the monitoring system with community values, build operational capacity, and foster local ownership. A comprehensive maintenance strategy and guidelines for potential expansion were developed to ensure the continued relevance and adaptability of the system, including options for biodiversity monitoring and additional research applications.
The resulting monitoring platform combines robust engineering, scientific instrumentation, and community integration. It establishes a foundation for long-term data collection that can inform hydrological modelling, climate adaptation strategies, and evidence-based conservation, while embedding the system within the local social and ecological context.
...
This multidisciplinary project, undertaken in collaboration with Community Cloud Forest Conservation (CCFC) in Alta Verapaz, Guatemala, addresses the need for long-term meteorological and hydrological monitoring in the Mestelá River catchment. The tropical montane cloud forest in this region provides essential ecosystem services through canopy cloud water interception and regulation of streamflow, yet continuous, high-quality environmental data remain limited.
To support research and conservation efforts, a 13.5 m scaffolding tower was designed and constructed as a durable, safe, and adaptable measurement platform, engineered for future extension to 25 m. The structural design accounted for local wind loads, dynamic forces, foundation stability, and corrosion resistance, ensuring a projected operational lifespan of 15 years.
Beyond infrastructure, the project developed a hydrological monitoring set-up and a Python-based modelling framework to quantify the canopy water balance and hydrological cycle. Sensor selection, placement, and integration were tailored to capture key meteorological and hydrological variables, including rainfall, fog interception, throughfall, and soil moisture. Data acquisition and storage were configured to function as autonomously as possible under remote, high-humidity cloud forest conditions, while allowing for straightforward periodic maintenance of all components involved.
Recognising that sustainability extends beyond technical performance, the project incorporated cultural and institutional engagement. Workshops and collaborative activities with CCFC staff and local stakeholders were conducted to align the monitoring system with community values, build operational capacity, and foster local ownership. A comprehensive maintenance strategy and guidelines for potential expansion were developed to ensure the continued relevance and adaptability of the system, including options for biodiversity monitoring and additional research applications.
The resulting monitoring platform combines robust engineering, scientific instrumentation, and community integration. It establishes a foundation for long-term data collection that can inform hydrological modelling, climate adaptation strategies, and evidence-based conservation, while embedding the system within the local social and ecological context.
To support research and conservation efforts, a 13.5 m scaffolding tower was designed and constructed as a durable, safe, and adaptable measurement platform, engineered for future extension to 25 m. The structural design accounted for local wind loads, dynamic forces, foundation stability, and corrosion resistance, ensuring a projected operational lifespan of 15 years.
Beyond infrastructure, the project developed a hydrological monitoring set-up and a Python-based modelling framework to quantify the canopy water balance and hydrological cycle. Sensor selection, placement, and integration were tailored to capture key meteorological and hydrological variables, including rainfall, fog interception, throughfall, and soil moisture. Data acquisition and storage were configured to function as autonomously as possible under remote, high-humidity cloud forest conditions, while allowing for straightforward periodic maintenance of all components involved.
Recognising that sustainability extends beyond technical performance, the project incorporated cultural and institutional engagement. Workshops and collaborative activities with CCFC staff and local stakeholders were conducted to align the monitoring system with community values, build operational capacity, and foster local ownership. A comprehensive maintenance strategy and guidelines for potential expansion were developed to ensure the continued relevance and adaptability of the system, including options for biodiversity monitoring and additional research applications.
The resulting monitoring platform combines robust engineering, scientific instrumentation, and community integration. It establishes a foundation for long-term data collection that can inform hydrological modelling, climate adaptation strategies, and evidence-based conservation, while embedding the system within the local social and ecological context.