Qualitative Data Work in the Age of AI
Created by and for social scientists, Ethnote enables individual and team-based collection, processing, and analysis of ethnographic and other unstructured qualitative data seamlessly, securely, and systematically
From Data Collection to Insights
Ethnote provides you with specialized tools to collect and analyze qualitative data in a secure and compliant setup.
Use Ethnote to collect and store your qualitative data whether it is field notes, interviews, social media posts, or documents.
Ethnote makes collaboration around qualitative data simple and safe. Invite your team members into your projects and define their access levels to your own and other’s data.
Design individual or team-based data collection processes using tailored templates for meta-data and data.
Using Ethnote’s two systems for classification, you can seamlessly and systemically organize your data. The tagging system enables in-site, tag-as-you-go categorization.
Store all your notes and media in one place, and use Ethnote’s overview sections to browse, filter, and explore your data
Use Ethnote’s flexible design to import from legacy software and export to text or spreadsheets like Excel.
What is Ethnote?
Ethnote is a multiple device application for qualitative data work in the age of AI. Created by and for social scientists, Ethnote enables individual and team-based collection, sharing, processing, and analysis of ethnographic and other qualitative data (text, documents images, and sound) on handheld devices and computers seamlessly, securely, and systematically.
Striking an optimal balance between structure and flexibility, it allows individuals and teams to deploy predefined data templates, real-time tagging, and annotation markdowns. Facilitating export into multiple data formats like .csv or .xlsx, it allows for easy integration with quantitative data from e.g. surveys and sensors, and for computational processing, visualization and modelling of qualitative data.
Catalyst for Qualitative Insight
Ethnote is not just a new software application for ethnographic data collection, sharing, and storage, but a catalyst for novel kinds of ideas, insight and innovation in qualitative data handling. Its user-centric design, commitment to data security, and versatility make it an asset for researchers and analysts working across disciplinary barriers to reap untapped potentials for qualitative data insight.
Ethnote invites public and private organizations to embrace a new era of computational anthropology marked by collaboration, triangulation, and AI-augmentation.
Prices
Start exploring Ethnote for free with access to one project.
For inquiries regarding students, courses, researchers, research projects and licenses for academic institutions.
For inquiries regarding independent professionals, consultants, freelancers and small teams.
For inquiries regarding businesses, commercial projects and organizations.
Meet the Ethnote Team
Emilie Munch Gregersen is a Ph.D. fellow at the Copenhagen Center for Social Data Science (SODAS), University of Copenhagen (UCPH). She has a B.A in Anthropology and a M.Sc. in Social Data Science from UCPH.
Morten Axel Pedersen is Professor of Social Data Science & Anthropology at UCPH. He graduated in Social Anthropology from Aarhus University and Cambridge University and was the leader of the two research projects that Ethnote grew out from.
Karoline Husbond Andersen is chief operating officer of the National Centre for AI in Society at UCPH. With a BA and an MSc. in Anthropology from UCPH, she has worked as a research coordinator and an administrator at SODAS.
Nikolaj Bech Andersen is the Chief Technology Officer and one of the co-founders of Ethnote. He works as a software development consultant and has a B.Sc. in Process and Innovation (DTU) and an M.Sc. in Software Development (ITU).
Signe Vich is an anthropology student from UCPH and currently an intern at Ethnote until end of December 2025.