I am an assistant professor in the MultiX group at the Informatics Institute, University of Amsterdam. I have both a computer science and architectural design background. My research is focused on Community-Empowered Artificial Intelligence (AI), where I co-design, implement, deploy, and evaluate interactive AI systems that empower communities, especially in addressing environmental and social issues. Traditionally, scientists lead research to engage citizens in tackling environmental and social issues (e.g., air pollution) on a large scale. I have proposed an alternative, Community Citizen Science (CCS), to extend this science-oriented method to a hyper-local scale. CCS aims to empower communities and scientists to produce scientific knowledge, represent their voices, address local concerns, and shape more equitable power relationships. In this way, CCS advances the current science-oriented method by emphasizing continued community engagement after technology interventions. In my research, I apply crowdsourcing and data visualization to engage communities in providing and exploring data. Also, I utilize machine learning, computer vision, and data science to assist communities in extracting and explaining patterns in multiple types of large-scale data.
More information about me can be found on my website: http://yenchiah.me/