Programme

17th EAOHP Conference, 15th-17th June, 2026

Preliminary Programme

The EAOHP 2026 Conference main event will take place between 15 and 17 June, while a selection of post-conference workshops will be held on 18 June 2026.

The EAOHP 2026 Conference will take place at the University of Helsinki, situated right in the vibrant city centre of Helsinki, Finland.

Venue address:

University of Helsinki

Address: Fabianinkatu 33, Helsinki, Finland

Practice Forum Special Sessions

What Works in Psychosocial Risk Management: Lessons from Practice

The EAOHP’s Practice Forum, in collaboration with the Finnish Institute of Occupational Health (FIOH), will take place on 16th June 2026 from 13:00 to 15:00. 

The Forum will run in hybrid format from the Think Corner, University of Helsinki, and is open to all conference participants and the wider public.

Details on the online session will be made available closer to time.

 

Session Overview

Many organisations recognise the importance of addressing psychosocial risks but struggle with how to implement effective preventive action in practice. This session focuses on learning from experience, bringing together practitioner perspectives to explore what has been tried, what has worked, and what challenges remain in psychosocial risk prevention.

Using a small number of applied examples from different organisational contexts, the session highlights practical intervention approaches, the conditions that support their success, and the lessons that can be transferred across settings. A facilitated panel discussion and audience reflection create space for dialogue about real‑world constraints, trade‑offs, and opportunities. 

More information is available here

 

Post-conference workshops

The EAOHP will run a selected number of post-conference workshops after the conference on the 18th of June 2026 from 09:00 to 12:30 at the University of Helsinki , located at Fabianinkatu 33, Helsinki, Finland.

 

Multilevel modelling with R: An introduction with applications on wearable- and mobile-based intensive longitudinal data

The R programming environment offers powerful and open-source tools for modelling hierarchical and repeated-measures data, such as those collected with intensive longitudinal designs (ILD), which are increasingly popular in occupational health psychology research. This workshop provides an accessible introduction to multilevel modelling using R (primarily with the lme4 package), focusing on practical applications involving mobile-based experience sampling methods (ESM) and wearable-derived physiological monitoring. Participants will work with real-world datasets to learn how to structure, model, and interpret repeated observations nested within individuals. The course is particularly suitable for researchers interested in multilevel modelling, intensive longitudinal data and/or ESM and wearable technologies. Participants are requested to bring their laptop with R and RStudio already installed. Participants should have some basic knowledge on linear and multiple regression. Familiarity with R is not strictly required but recommended – some basic introduction is available here 

*For this workshop, participants are required to bring their laptops with R and RStudio already installed.

Facilitator: Luca Menghini, Assistant Professor of the Department of General Psychology and Human-Inspired Technology Research Centre at the University of Padova.

Qualitative Research in Occupational Health Psychology

This workshop aims to introduce/ address the role of qualitative research in Occupational Health Psychology (OHP)and explore and illustrate methodological strategies.  The workshop was designed for PhD students, early-career researchers, and junior academics that do not have (or have little) experience in conducting qualitative research. In the first part, we will discuss why qualitative approaches are essential for understanding OHP issues related to safety at work, and employee well-being and stress, supported by examples. The second part focuses on practical skills: designing and conducting interviews and applying diverse analytical approaches. Through interactive exercises, participants will gain hands-on experience in collecting and interpreting qualitative data. Finally, we will address common challenges in qualitative research while sharing strategies to overcome them.

Facilitators: Rachel Nayani, Associate Professor, Norwich Business School and University of East Anglia and Sílvia Agostinho da Silva, Full Professor, Iscte-Instituto Universitário de Lisboa and Research Forum Chair, EAOHP

Session delivered by the Occupational Safety Unit, FIOH

Τhe Road to Publishing in High-Impact Academic Journals: A Ηow-Τo Workshop

The main aim of this workshop is to support PhD students, early-career researchers, and junior academics in navigating the often complex and competitive publication process in peer-reviewed, high-quality academic journals. The workshop will provide a unique overview on the full publication process from writing a successful paper to selecting the best outlet and preparing the manuscript for submission, as well as the review process. Emphasis will be placed on writing tips, dos and don’ts, identifying potential journals for publication and journals’ expectations, as well as on how to successfully address the comments of the reviewers. There will be room for group exercises (e.g., reviewing good and bad examples, reviewing participants’ own work) and discussion. At the end of the workshop, attendees will be equipped with the knowledge and confidence needed to enhance their research papers and increase their chances of publication success.

Facilitators: Anne Mäkikangas, Full Professor & Director of the Work Research Centre, Tampere University, Finland and Associate Editor, Work & Stress & Consulting Editor, Journal of Occupational and Organizational and Despoina Xanthopoulou Full Professor, Aristotle University of Thessaloniki, Greece, Education Forum Chair, EAOHP and Associate Editor, European Journal of Work and Organizational Psychology.

Dyadic Studies in Occupational Health Psychology: Best practice guidelines from developing and implementing research ideas to data analyses

The main aim of this workshop is to present and discuss best practice guidelines for conducting dyadic studies in the field of occupational health psychology. The workshop will provide information on exemplary dyadic studies (including dyadic diary and intervention studies) investigating different dyadic relationships relevant to the workplace, such as romantic partners, colleagues, and patient-caregiver dyads. We will focus on sharing hands-on experience of successful research practices (what works) and enable participants to develop and plan their own dyadic research ideas.

The workshop will also teach participants how to analyse dyadic data using the Actor-Partner Interdependence Model (APIM), covering both its foundational application, model specification for distinguishable and indistinguishable dyads, extensions for specific research questions, and its utility for more complex research designs (e.g., dyadic diary data). Participants will gain the background and practical skills necessary to accurately model dyadic interdependence and derive meaningful conclusions from their occupational health data.

All examples and exercises provided during the workshop will use R with lme4 and lavaan. Participants are expected to have some familiarity with R (but do not necessarily need to be proficient) as well as some understanding of multilevel modelling and structural equation modelling techniques.  

Facilitators: Carmen Binnewies, Full Professor of Work Psychology, University of Muenster, Germany and George Michaelides, Full Professor of Work Psychology, University of East Anglia.