People

Professor Phoebe Moore

Professor
EBS - Management and Marketing
Professor Phoebe Moore

Profile

Biography

Professor Phoebe V Moore (PhD, MA, FHEA) works as Professor of Management & the Futures of Work, University of Essex, within the Management & Marketing group within Essex Business School (EBS), Colchester, England (2022 - present). Her PhD is from University of Nottingham, her MA from the International University of Japan (Niigata), and her BA from University of Texas at Austin. Professor Moore is a transdisciplinary researcher who has written about and been most active in business and policy studies, with a grounding in the social sciences of work. University of Essex Leadership + Committees: -School Director of Internationalisation and Partnerships, Research (DoIPR) -Co-Lead for the Centre for Commons, Organising, Values, Equalities and Resilience (COVER) -Lead for the COVER Cluster for Studies in AI and Digitalisation (CSAID) -Founder and CoLead for the lead for the AI Rights and Wrongs seminar series -Athena Swan committee member, LGBTQI+ representative CBS Visiting Professorship: In the Autumn semester 2025, Moore won the Otto Mønsted Visiting Professorship at Copenhagen Business School (CBS), Department of Business, Humanities and Law, hosted within the Law unit. At CBS, sponsored by Prof. Andrej Savin, Moore taught on the Datafication module; gave two research seminar talks; and carried out significant impact work for the ETUC AI Taskforce work for CEN CENELEC Harmonised Standards on Quality Management Systems for the AI Act, and for the European Commission's subgroup on AI for the Machinery Regulation. Moore also worked on the book she is writing about consent in digitalised worlds of work. Research: Moore has published over 50 books, edited books, chapters, journal articles, journal special issues, editorial pieces, and commissioned reports. Themes: -The Quantified Worker: Moore has published three single authored books. Her last monograph, The Quantified Self in Precarity: Work, Technology and What Counts (i), challenges the optimization imperative found in worker self-quantification regimes, and the effects on working conditions, and on subjectivities. -Algorithmic Management: Moore recently coordinated and wrote large report about a phenomenon she and colleagues Gwendolin Barnard and Anna Thomas, call 'algorithmic affect management', for the Institute for the Future of Work London which was cited in the Observer in 2025. -Consent Machine: Moore is currently developing a new theory of consent in the digitalized world of work, arguing that while safety and health risks are ever-expanding for workers as new technologies, especially AI, enter spaces of work, the capacity for consultation and consent, is diminishing (ii) Research Metrics: Moore's work boasts over 3,000 citations (in early 2026). Scopus/SciVal 2020 - 2025 data indicates that Moore’s publications are highly cited by academic researcher, where 5 publications were in the top 10% of most cited publications worldwide. In 2022, this was 178 per cent more than the expected average for the field of research and document type and 100 per cent of Moore’s publications (according to Scopus/SciVal), are it the top 10 per cent journals. External Invitations + Media Presence: Prof. Moore regularly gives keynote and high level invited talks, consults, and writes, for high level non-governmental, governmental and intergovernmental bodies. These include the European Commission, the European Parliament, EU-OSHA and the ETUI, and UN agencies the International Labour Organization (ILO) and the Office of the High Commissioner for Human Rights (OHCHR). Moore´s work has been cited in the Financial Times, the Atlantic, and the New York Times. Moore regularly appears on the BBC, and on international news. Current Externally Funded Research and Impact: -EyeWarn: funded by the Biotechnology and Biological Sciences Research Council’s (BBSRC) Prosperity Partnerships. See: https://www.essex.ac.uk/news/2025/02/27/essex-researchers-secure-million-pound-grant-to-uncover-signs-of-mental-fatigue -EU Framework: 'Study supporting the ex-ante analysis of the impacts and potential policy options of an EU initiative in the area of algorithmic management at the workplace'. -FemLab@AI: funded by the Cariplo Foundation. -ETUC representative: 2025-2026 Moore is the formal European Trade Union Confederation (ETUC) representative to the European Commission's mandated work on harmonised technical standards setting for the AI Act based on CEN CENELEC, and the guidelines preparation for the incoming Machinery Regulation. -In that context, Moore works to ensure that AI related legislation and harmonised standards are written in ways that meaningfully protect workers’ fundamental rights. Previous Externally Funded Research and Impact: International Labour Organization (ILO) (United Nations). -Macroeconomics: From 2022 - 2024, Moore worked as an external collaborator in the Macroeconomics, Policy and Jobs, within within the ILO's Research Department, to set up the Work in the Digital Economy (WiDE) group and aid in setting up the ILO AI Observatory. -Labour Bureau (ACTRAV): Moore was commissioned to prepare the large report The Threat of Violence and Harassment in the Digitalized World of Work which was used to inform discussions for a new Labour Standard, discussed at the May 2018 International Labour Conference (ILC) at the ILO in Geneva, and was used again at the ILC 2019. The new Labour Standard, C190 - Violence and Harassment Convention, 2019 (No. 190) subsequently was enacted. (iii).(x) EU Governing Bodies + Agencies. -European Parliament STOA: In 2021, for the European Parliament, Moore wrote about data subjects and the different risks faced by workers and consumers, in the era of AI (iv). This large Report includes interviews with workers to identify how organisations and employers are integrating the GDPR to identify the extent of information dissemination and consultation with workers. -European Commission Directorate-General for Employment, Social Affairs and Inclusion (DGEMPL). Study Exploring the Context, Challenges, Opportunities and Trends in Algorithmic Management. Co-Investigator. Moore was the Social Science Lead (Antonio Aloisi was the Law Lead). Moore co-authored Reports. Coordinated and co-authored by Visionary Analytics. (iv) -European Agency for Safety and Health at Work (EU-OSHA), German Federal Institute for Occupational Safety and Health (BAuA). (Co-Moore, cognitive AI-systems lead) Overview of Policies, Research and Practices in Relation to Advanced Robotics and AI-based Systems for Automation of Tasks and Occupational Safety and Health (OSH). Lead for AI-based systems research. (vi) -European Parliament Future of Science and Technology Office (STOA) (PI). ‘Data Subjects: Digital Surveillance, AI and the Future of Work’. This was a commissioned expert report on contemporary issues with data collection and worker tracking, privacy, surveillance and workers’ rights based on her research over one year. Sections include legal and regulatory frameworks, empirical discussion, country case studies, worker cameos and policy options. (vii) Also see DG EP Research Service publicity around it including a film brief and video (viii) -European Union Agency for Safety and Health at Work (EU-OSHA) (PI). Focal Point Expert Report OSH and the Future of Work: Benefits & risks of artificial intelligence tools in workplaces for EU-OSHA and launched this report at their headquarters in Bilbao February 2019. These reports were part of the European Commission’s research Focal Points research for the EU OSHA 2023+ Safe and Healthy Work in the Digital Age campaign. (ix) United Kingdom Institutes, Networks, and UKRI (selected). Institute for the Future of Work. Moore, P. & Barnard, G., Thomas, A. (2024). Data on Our Minds: Affective Computing at Work. London: Institute for the Future of Work. This Report is endorsed by Frank Pasquale, Jeni Thompson, Aude Cefaliello and Peter Bloom, (v) British Academy/Leverhulme Grant (PI). Won this grant to research the use of self-tracking health devices in companies. (x) -This project was entitled ‘Agility, Work and the Quantified Self’. Moore carried out field work over the course of the first year of the project with a company in Rotterdam that ran a Quantified Workplace project. Moore also visited a car factory and a technology centre to interview workers, trade unionists and managers and integrated findings into publications. Leicester Artificial Intelligence Network (LAIN) (PI). Network Grant from Leicester Institute for Advanced Studies to run several networking events and research workshops. (With management team Julie Chen, Mohammad Mousavi, Alistair McEwan). Fellowships - 2023 - present: Senior Fellow. Institute for the Future of Work, London - Previously: Moore was twice appointed as Fellow for the Weizenbaum Institute and WZB Berlin, in two research groups; and within the Communications Centre ZEMKI, in Bremen, Germany. Editorships: - Founder and Chief CoEditor. Global Political Economy. - Founder and CoDirector: University of Essex AI Policy Observatory for the World of Work (E-AIPOWW). - CoDirector. Research Centre for Commons Organising, Values, Equalities & Resilience (COVER). - CoDirector: Cluster for Studies in AI and Digitalisation (CSAID), within COVER. - Editorial Board. Dialogues on Digital Society. - Editorial Board. Environment and Planning A: Economy and Space. - Editorial Board. Capital & Class. Read more about Prof Moore on our EBS Blog Counting What Counts: Research Impact and the Quantified World of Work https://www.essex.ac.uk/blog/posts/2026/01/05/counting-what-counts The Quantified Worker (blog): https://phoebevmoore.wordpress.com/ Google Scholar: https://scholar.google.com/citations?user=v8Or-0YAAAAJ&hl=en Linkedin: https://www.linkedin.com/in/phoebe-v-moore-b54122239/ Publications and URLs cited: (i) Routledge: The Quantified Self in Precarity https://www.routledge.com/The-Quantified-Self-in-Precarity-Work-Technology-and-What-Counts/Moore/p/book/9780367872908 (ii) Globalizations: Consent, coercion, colonialism: A manifesto for digital rights from the left (accepted for publication November 2025, with Peter Bloom and Rodrigo Nunes); Global Political Economy handbook: Problems in protections for working data subjects: Becoming strangers to ourselves. https://repository.essex.ac.uk/40188/1/MOORE%20GPE%20FINAL.pdf (iii) ILO: OSH Risks in Digitalized Work https://www.ilo.org/meetings-and-events/actrav-agora-threat-physical-and-psychosocial-violence-and-harassment (iv) DGEMPL: Legal and Social Study of Algorithmic Management. https://employment-social-affairs.ec.europa.eu/study-exploring-context-challenges-opportunities-and-trends-algorithmic-management_en (v) IFOW: Biometrics and Algorithmic Affect Management. https://www.ifow.org/publications/data-on-our-minds-affective-computing-at-work (vi) EU OSHA: Cognitive Tracking and Robotics. https://op.europa.eu/en/publication-detail/-/publication/07c3ae31-12d2-11ed-8fa0-01aa75ed71a1/language-en (vii) European Parliament STOA: Data subjects, digital surveillance, AI and the future of work. (viii) European Parliament DG for Research Services: https://epthinktank.eu/2020/12/22/workplace-monitoring-in-the-era-of-artificial-intelligence/ (ix) European Agency for Safety and Health at Work (EU OSHA): https://osha.europa.eu/en/publications/osh-and-future-work-benefits-and-risks-artificial-intelligence-tools-workplaces (x) Body and Society: Tracking Affective Labour for Agility in the Quantified Workplace. https://journals.sagepub.com/doi/10.1177/1357034X18775203

Qualifications

  • PhD University of Nottingham,

  • MA International University of Japan,

Appointments

University of Essex

  • Professor of Management and the Futures of Work, School of Business, University of Essex (2/5/2022 - present)

Research and professional activities

Current research

Data on our minds: affective computing at work

Digital profiling using algorithms and datasets is becoming more and more pervasive in every aspect of life. Alongside our experiences as consumers, citizens and patients, the accumulation of data and technological monitoring is increasingly focusing on people’s behaviour and activities in the workplace. This is called 'affective computing'. The introduction of Algorithmic Affect Management (AAM) technologies - designed to take these inferences about our emotions and behaviours at work and connect them to algorithmic management systems - is opening a new frontier in surveillance and privacy concerns. This has significant regulatory implications across domains, from definitions to the need for specific, updated protection in both hard and soft law. Our latest report examines how these technologies - while offering potential productivity gains and occupational health and safety benefits - also introduce significant challenges to job quality and wellbeing. Invasive surveillance practices often undermine the promised benefits, highlighting the need for conscious management to ensure ethical and responsible implementation.
More information about this project

Conferences and presentations

EAEPE Annual Conference

Keynote presentation, The Janus face of AI. Opportunities and threats, European Association of Evolutionary Political Economy, Athens, 25/9/2025

Potyrõ – I Encontro Goiano sobre Educação e Tecnologia

Keynote presentation, Potyrõ – I Encontro Goiano sobre Educação e Tecnologia, Instituto Federal de Goias, Goias, Brazil, 28/5/2025

Shaping Tomorrow: The Power of Social Science in Navigating the Digital Age

Invited presentation, UNIVERSITY OF ESSEX, 2/12/2024

Clustering: Automated Order in the Social Sciences

Invited presentation, https://www.ifk.ac.at/kalender-detail/clustering-automated-order-in-the-social-sciences.html, nternationales Forschungszentrum Kulturwissenschaften Kunstuniversität Linz in Wien, 28/11/2024

Technology Assessment from an Employee Representation Perspective

Keynote presentation, Schaffarei Conference 2024, CHAMBER OF LABOUR, Austria, 21/11/2024

The Future of Work

Keynote presentation, Tendencias https://elpais.com/proyecto-tendencias/2024-11-26/evento-tendencias-phoebe-v-moore-no-se-han-cuidado-las-repercusiones-del-avance-de-las-big-tech.html, El Pais, MADRID, Spain, 11/11/2024

Teaching and supervision

Current teaching responsibilities

  • Perspectives on Technology, Organisation and Society (BE437)

  • Artificial Intelligence (AI): Global Ethics and Innovation (BE497)

Previous supervision

Junjie Yang
Junjie Yang
Thesis title: Value and Ethical Transformation and Labour Activism: Generational Shifts and Prospects for Independent Trade Unions in China
Degree subject: Management
Degree type: Doctor of Philosophy
Awarded date: 29/1/2026

Publications

Journal articles (17)

Moore, P., Bloom, P. and Guimaraes Nunes, R., (2026). Consent, Coercion, Colonialism:  A Manifesto for Digital Rights from the Left. Globalizations, 1-20

Moore, P., Petrucci, C. and Muldoon, J., (2025). AI regulation in the EU and the world of work: critiquing inevitability, for resistance. Global Political Economy. 20 (2), 201-214

Moore, P., Marques de Oliveira Martins, IK. and Carvalhaes de Oliveira, N., (2025). Artificial intelligence and innovation in educational processes: for what?. Revista Educação e Políticas em Debate. 15 (1), 1-14

Ernst, E., Berg, J. and Moore, PV., (2024). Editorial: Artificial intelligence and the future of work: humans in control.. Frontiers in artificial intelligence. 7, 1378893-1378893

Cefaliello, A., Moore, PV. and Donoghue, R., (2023). Making algorithmic management safe and healthy for workers: addressing psychosocial risks in new legal provisions. European Labour Law Journal. 14 (2), 192-210

Moore, PV., (2023). Workers’ right to the subject: The social relations of data production. Convergence. 30 (3), 1076-1098

Moore, PV. and Joyce, S., (2020). Black box or hidden abode? The expansion and exposure of platform work managerialism. Review of International Political Economy. 27 (4), 926-948

Engster, F. and Moore, PV., (2020). The search for (artificial) intelligence, in capitalism. Capital & Class. 44 (2), 201-218

Moore, PV., (2020). The mirror for (artificial) intelligence in capitalism. Capital & Class. 44 (2), 191-200

Moore, PV., Briken, K. and Engster, F., (2020). Machines and measure. Capital & Class. 44 (2), 139-144

Moore, PV., (2019). The Mirror for (Artificial) Intelligence: In Whose Reflection?

Moore, PV., (2018). Tracking Affective Labour for Agility in the Quantified Workplace. Body & Society. 24 (3), 39-67

Moore, P. and Robinson, A., (2016). The quantified self: What counts in the neoliberal workplace. New Media & Society. 18 (11), 2774-2792

Moore, PV., (2014). Legitimacy, Tribridity, and Decent Work Deficits. Globalizations. 11 (3), 315-330

V Moore, P., (2012). Where is the study of work in critical IPE?. International Politics. 49 (2), 215-237

Moore, P., (2006). Global Knowledge Capitalism, Self-woven Safety Nets, and the Crisis of Employability. Global Society. 20 (4), 453-473

Moore, P., (2005). Revolutions from above: Worker training as trasformismo in South Korea. Capital & Class. 29 (2), 39-72

Books (3)

(2023). Handbook of Research on the Global Political Economy of Work. Edward Elgar Publishing. 9781839106576

Moore, PV. and Woodcock, J., (2021). Augmented exploitation: Artificial intelligence, automation and work. Pluto Press (UK). 074534349X. 9780745343495

Moore, PV., (2017). The Quantified Self in Precarity Work, Technology and What Counts. Routledge. 1317201604. 9781317201601

Book chapters (9)

Moore, P. and Barnard, G., (2025). Affective computing, algorithmic affect management, and the quantified worker. In: The SAGE Handbook of Digital Labour. Editors: Bulut, E., Yujie Chen, J., Grohmann, R. and Jarret, K., . Sage. 9781529669831

Donoghue, R., Huanxin, L., Moore, P. and Ernst, E., (2024). AI, regulation, and the world of work: the competing approaches of the US and China. In: Handbook on Public Policy and Artificial Intelligence. Edward Elgar Publishing. 353- 365. 9781803922164

Atzeni, M., Azzellini, D., Mezzadri, A., Apitzsch, U. and Moore, PV., (2023). Introduction: What is work and what is the political economy of work?. In: Handbook of Research on the Global Political Economy of Work. 1- 32

Moore, PV., (2023). Problems in protections for working data subjects: Becoming strangers to ourselves. In: Handbook of Research on the Global Political Economy of Work. Editors: Atzeni, M., Azzellini, D., Mezzadri, A., Moore, P. and Apitzsch, U., . Edward Elgar. 323- 339. 9781839106576

Moore, PV., (2022). Designing work for agility and affect's measure. In: Marx and the Robots Networked Production AI and Human Labour. Editors: Butollo, F. and Nuss, S., . Pluto Press. 185- 196. 9780745344379

Moore, PV. and Woodcock, J., (2021). Introduction AI: Making it, faking it, breaking it. In: Augmented Exploitation Artificial Intelligence Automation and Work. 1- 9

Moore, PV., (2021). AI trainers: Who is the smart worker today?. In: Augmented Exploitation Artificial Intelligence Automation and Work. 13- 29

Moore, P., Piwek, L. and Roper, I., (2018). The Quantified Workplace: A Study in Self-Tracking, Agility and Change Management. In: Self-Tracking Empirical and Philosophical Investigations. Editors: Ajana, B., . Springer International Publishing. 93- 110. 9783319653785

Moore, PV., (2018). E(a)ffective Control and Resistance in the Digitalised Workplace. In: Austerity and Working Class Resistance Survival Disruption and Creation in Hard Times. 181- 200

Conferences (1)

Moore, PV., (2019). OSH and the Future of Work: Benefits and Risks of Artificial Intelligence Tools in Workplaces

Reports and Papers (2)

Moore, P., Donoghue, R. and ALOISI, A., (2025). DGEMPL European Commission Exploring the context, challenges, opportunities and trends in algorithmic management

Moore, PV., Barnard, G., Thomas, A., Milne, G. and Minney, J., (2024). Data on our minds: affective computing at work

Grants and funding

2024

Expanding Knowledge Exchange Possibilities of COVER Research Centre

University of Essex

2023

Study exploring the context, challenges, opportunities, and trends in algorithmic management in the workplace

Visionary Analytics

2022

Promoting Commons Presents and Futures

University of Essex (ESRC IAA)

Overview of policies, research and practices in relation to advanced robotics and AI based systems for automation of tasks and occupational safety and health

Federal Institute for Occupational Safety and Health

Contact

p.moore@essex.ac.uk

Location:

EBS.3.5, Colchester Campus

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