Gen Z researchers on work-life, scholarly communications and AI impact: a qualitative, aerial analysis

This is the second update on the international 'Harbingers' project: Gen Z researchers’ work-life and scholarly communications. Our previous update (Nicholas et al, 2026a) provided a broad and general account, especially in respect of new methodologies for analysing qualitative data. This update, whilst yet a preliminary data analysis, provides more detailed observations and contrasts with the findings of other researchers. Interestingly, researchers in their twenties ('Gen Z') — postdocs, PhD students and ECRs — show attitudes and practices, that appear to differ from their millennial colleagues. The current phase is an exploratory nine-month study that continues our international and multi-disciplinary approach, covering 8 countries: China, Malaysia, Poland, Portugal, Spain, Russia, UK and US, and the sciences, social sciences and humanities. Our conversational, open-ended interviews gather data on work-life balance, scholarly communications and AI (artificial intelligence). Overall, we have interviewed 101 Gen Z researchers. The interviews, over an hour long, featured 50 questions, the resulting transcripts, to which we add interviewer commentary and prompts, amount to over half-million words. The use of AI (primarily Claude.ai) has been a central tool in the production of this broad overview. Indeed, it has proved more than a tool, our own developing experience in using it has provided perspective and insights to understand how these junior researchers view AI.

Authors

Institutions

Publication Details

Published
2026-11-09
DOI
https://doi.org/10.33774/coe-2026-0tshs
Primary Topic
Doctoral Education Challenges and Solutions
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Gen Z researchers on work-life, scholarly communications and AI impact: a qualitative, aerial analysis

Marzena Świgoń, Abdullah Abrizah, GALINA OSIPOVA, Eti Herman et al.
3 links
Doctoral Education Challenges and Solutions
preprint

Gen Z researchers on work-life, scholarly communications and AI impact: a qualitative, aerial analysis

Marzena Świgoń, Abdullah Abrizah, GALINA OSIPOVA, Eti Herman, Jorge Revez, David Clark, Veronika Schubert, David Nicholas, Jie Xu, John Akeroyd, Blanca Rodríguez-Bravo
preprint en

Abstract

This is the second update on the international 'Harbingers' project: Gen Z researchers’ work-life and scholarly communications. Our previous update (Nicholas et al, 2026a) provided a broad and general account, especially in respect of new methodologies for analysing qualitative data. This update, whilst yet a preliminary data analysis, provides more detailed observations and contrasts with the findings of other researchers. Interestingly, researchers in their twenties ('Gen Z') — postdocs, PhD students and ECRs — show attitudes and practices, that appear to differ from their millennial colleagues. The current phase is an exploratory nine-month study that continues our international and multi-disciplinary approach, covering 8 countries: China, Malaysia, Poland, Portugal, Spain, Russia, UK and US, and the sciences, social sciences and humanities. Our conversational, open-ended interviews gather data on work-life balance, scholarly communications and AI (artificial intelligence). Overall, we have interviewed 101 Gen Z researchers. The interviews, over an hour long, featured 50 questions, the resulting transcripts, to which we add interviewer commentary and prompts, amount to over half-million words. The use of AI (primarily Claude.ai) has been a central tool in the production of this broad overview. Indeed, it has proved more than a tool, our own developing experience in using it has provided perspective and insights to understand how these junior researchers view AI.

University of Lisbon (PT), National Research Tomsk State University (RU), Wuhan University (CN), Centro de Investigación Biomédica en Red (ES), University of Warmia and Mazury in Olsztyn (PL), Universidad de León (ES)
Doctoral Education Challenges and Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon