AI+ for Fieldwork & Ethnographic Research
Design, Conduct and Write Up Ethnographic Fieldwork with AI
The fieldwork is done. The analysis hasn't started yet.
Your field notes are overwhelming. The analysis feels impossible to start. AI+ for Fieldwork & Ethnographic Research introduces the FIELD Protocol — five stages (Focus, Immerse, Engage, Log, Draft) that integrate AI systematically across every phase of ethnographic work. Twenty-eight prompt templates, reflexivity check-ins, thick description scaffolding, and a 90-day plan. Built by an AI engineering firm for fieldwork researchers who bring irreplaceable presence to the field — and want everything around it to work harder.
- 28 prompt templates covering every FIELD stage — from research design to ethnographic scene-writing
- The FIELD Protocol — a five-stage AI framework for ethnographic fieldwork, from design to account
- The Ethnographic Scene Architecture — a four-element model for writing fieldwork into compelling accounts
- The Reflexivity Continuum — a self-assessment for turning reflexivity compliance into live practice
- A 90-day integration plan with stage-by-stage goals and prompt references for your next project
Social science researchers — anthropologists, sociologists, human geographers, development researchers — conducting or preparing for fieldwork at postgraduate or early career stage. Also UX/design researchers using ethnographic methods in commercial contexts, and NGO/development sector evaluators conducting qualitative fieldwork.
Also for:Undergraduate students preparing for their first fieldwork placement; mid-career researchers returning to fieldwork after a break; applied researchers in government, health, and policy sectors who use ethnographic approaches without formal training.
- Design an ethnographic research project with clear research questions, site selection rationale, and ethics plan using AI as a critical thought partner
- Conduct participant observation and in-context interviews using AI-supported preparation and documentation strategies
- Capture, structure, and safeguard field notes and recordings using the FIELD Protocol Log stage
- Analyse ethnographic data and produce thick description using AI-assisted interpretation while maintaining researcher judgement and interpretive authority
- Write ethnographic accounts for academic, applied, and public audiences using AI as a drafting partner
- Diagnostic
- How AI-ready is your ethnographic fieldwork?
- Chapter 1
- AI in Ethnographic and Fieldwork Research Today
- Chapter 2
- Designing Ethnographic Research
- Chapter 3
- Negotiating Access and Entering the Field
- Chapter 4
- Participant Observation in Practice
- Chapter 5
- Ethnographic Interviewing and Conversations
- Chapter 6
- Field Notes and Documentation
- Chapter 7
- Reflexivity and Research Ethics in the Field
- Chapter 8
- Ethnographic Analysis and Interpretation
- Chapter 9
- Ethnographic Writing and Reporting
- Chapter 10
- Your Ethnographic AI Practice
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for fieldwork researchers who bring irreplaceable presence to the field — and want everything around it to work harder.
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