Diana Milena Galindo Clavijo
Creative Computing
Camberwell College of Arts UAL
Specialisms: Design and Technology / UX Design / Design for Social Good
Location: London, United Kingdom
Diana Milena Galindo Clavijo
First Name: Diana Milena
Last Name: Galindo Clavijo
Specialisms: Design and Technology / UX Design / Design for Social Good
Sectors:
My Location: London, United Kingdom
University / College: Camberwell College of Arts UAL
Course / Program Title: Creative Computing
About
Diana holds a BSc in Creative Computing and has prior experience as a junior eCommerce designer, specialising in web design, UX principles, front-end coding, and project management. Her work is usually associated with sustainability practices, ethical use of technology and data, digital green skills, and the application of technology to address current environmental issues.
More recently, with the rise of mainstream Machine Learning and Artificial Intelligence, Diana’s research has focused on how the wider public can use these technologies to support critical citizen science projects. Bridging her design knowledge with her coding skills, Diana experiments with different coding frameworks and tools to bring products to life.
Debris Lore is a smartphone app that uses machine learning and computer vision technologies to register and document the quantity and types of rubbish found on beaches. This app runs an object detection model using smartphone hardware to assist researchers and volunteers in classifying different types of waste during beach cleanup campaigns in citizen science-led projects. Despite various government commitments, 53 million metric tonnes of waste are predicted to enter our aquatic ecosystems by 2030 (Borrelle et al., 2020). Therefore, it is imperative to understand the threats that pollution poses to marine and coastal ecosystems, as well as to our own health. By enhancing the current marine litter monitoring programmes’ methodologies and understanding the value of data collection on waste, Debris Lore aims to support the efficient and effective collection of this data. This data can later be used to inform policies, legislation, and the development of sustainability action plans. Read more about this project on the UAL Showcase website: https://ualshowcase.arts.ac.uk/project/576673/cover Reference Borrelle, S.B. et al. (2020) ‘Predicted growth in plastic waste exceeds efforts to mitigate plastic pollution’, Science, 369(6510), pp. 1515–1518. doi:10.1126/science.aba3656.
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