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Professor Ekaterina Hertog

Associate Professor in AI and Society

Ekaterina Hertog

Associate Professor in AI and Society


Ekaterina’s research interests lie at the intersection of digital sociology and family sociology. She leads the ESRC-funded DomesticAI project that scopes new technologies’ potential to free up time now locked into unpaid domestic labour and measures how willing people are to introduce these technologies into their private lives.

First research findings offering predictions about the transformative potential of domestic automation have been published in PLOS ONE as The future(s) of unpaid work: How susceptible do experts from different backgrounds think the domestic sphere is to automation and Technological Forecasting and Social Change as The future of unpaid work: Estimating the effects of automation on time spent on housework and care work in Japan and the UK.

Looking more broadly at how digital technologies integrate into domestic life she also published a paper in Convergence on ‘It’s not her fault’: Trust through anthropomorphism among young adult Amazon Alexa users.

Hertog’s earlier study of never-married single mothers in Japan that provides an in-depth analysis of Japanese women’s decision-making on childbearing issues and the related value systems was published as a book by Stanford University Press titled Tough Choices: Bearing an Illegitimate Child in Contemporary Japan. Her other research includes analyses of gender differences in time use in East Asia and an investigation of digital dating records from one of Japan’s largest matchmakers to scrutinise partner search processes, identifying the social factors that drive individual success and failure on the Japanese marriage market. She has published in journals such as the Journal of Marriage and Family, Demographic Research, and PLOS ONE.

Research Interests

Parental Control Technologies and Family Dynamics, Future of Unpaid Work, Technology in Everyday Life, Family Sociology, Time Use, Gender Practices in Households

Areas of Interest for Doctoral Supervision

Monitoring Technologies in Family Care, Domestic Automation, Digitalisation of Private lives, Cross-Country Variation in Attitudes to Technology, Gender and Technology

Positions at the OII

  • Associate Professor in AI and Society, March 2022 -


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Current Courses

Digital Social Research: Methods Core

This course provides students with the opportunity to engage with the methodological, ethical and philosophical underpinnings of quantitative and qualitative social science research practices.

Digital Interviewing and Qualitative Data Analysis

This course is designed to give students hands‐on practice gathering qualitative data and provide students with the knowledge and skills to analyse various types of qualitative data analysis collected from both online and offline settings.