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Hello, I’m Justin. I’m an editor and independent researcher, readily nerd-sniped by edge cases and emerging phenomena.
Operating from a home base in the haunted, flood-prone city of York, I use ethnographic methods to uncover hidden meanings and challenge dominant narratives. In my work life, I’ve sought out opportunities to pursue open-ended, exploratory research in different settings. I have:
- Co-founded a research company: Partnered with public and private-sector clients to investigate the diverse contexts in which technologies are imagined, designed, used, and controlled.
- Taught observational methods: Developed and delivered courses and training on ethnographic fieldwork, observational research, and qualitative methods for studying sociotechnical systems and online communities.
- Facilitated workshops: Designed and led participatory workshops with diverse stakeholders, using creative, experimental, and collaborative techniques to explore complex issues.
- Participated in collaborative prototyping: Joined an interdisciplinary team at MediaLab Matadero to conduct exploratory research and prototyping on artificial intelligence and human-machine intimacy.
- Conducted long-term fieldwork: Carried out ethnographic research on the cultural politics of infrastructure in Gujarat, with implications for policymaking and urban planning.
These experiences (and others) instilled a deep appreciation for creative, cross-disciplinary inquiry. Today, I am happiest working with others to decipher complex or uncertain situations, with a particular focus on:
- Appropriate technology: Low-tech, decentralised technologies, tailored to specific contexts and user needs.
- Communities of practice: The dynamics of practical knowledge development and dissemination within groups.
- Translocal processes: The interplay of local practices and global forces, and how this shapes technologies, policy, and the built environment.
- Knowledge bases, repositories, and information retrieval: How people navigate and use information in everyday contexts.
- Improvisation and contingency: How people adapt and innovate in real-time, responding to changing conditions through technology design and use.
Having recently tumbled into the gravity well of generative language models, I am also now trying to learn Python.
Last updated: Sunday, 10 November 2024