Digital Humanities
Head of Research Unit
Prof. Dr. Rosa Blakeman-Lavelle
Publications
18 found
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Schmid, J., Lavelle-Hill, R. and Sudeck, G. (2026) ‘Linking Individual Motives to the Type of Exercise and Sport Activity: Toward Recommendations for Optimal Activity Matching Through a Machine Learning Approach’, 23(6), pp. 840–850. Available at: https://doi.org/10.1123/jpah.2025-0414.
Schmid, J., Lavelle-Hill, R. and Sudeck, G. (2026) ‘Linking Individual Motives to the Type of Exercise and Sport Activity: Toward Recommendations for Optimal Activity Matching Through a Machine Learning Approach’, 23(6), pp. 840–850. Available at: https://doi.org/10.1123/jpah.2025-0414.
Terfurth, Leonie et al. (2026) ‘Troubled water: Enhancing flood preparedness with eXtended reality’, Computers in Human Behavior Reports, 22. Available at: https://doi.org/10.1016/j.chbr.2026.101004.
Terfurth, Leonie et al. (2026) ‘Troubled water: Enhancing flood preparedness with eXtended reality’, Computers in Human Behavior Reports, 22. Available at: https://doi.org/10.1016/j.chbr.2026.101004.
Hindermann, Maximilian et al. (2026) ‘RISE-UNIBAS/humanities_data_benchmark’. Available at: https://doi.org/10.5281/zenodo.16941752.
Hindermann, Maximilian et al. (2026) ‘RISE-UNIBAS/humanities_data_benchmark’. Available at: https://doi.org/10.5281/zenodo.16941752.
Einsiedler, Johanna et al. (2026) ‘Nonresponse at three stages in personality research: Insights based on (Danish) register data of a representative potential participant pool’, European Journal of Personality. 26.02.2025, 40(2), pp. 178–197. Available at: https://doi.org/10.1177/08902070251319818.
Einsiedler, Johanna et al. (2026) ‘Nonresponse at three stages in personality research: Insights based on (Danish) register data of a representative potential participant pool’, European Journal of Personality. 26.02.2025, 40(2), pp. 178–197. Available at: https://doi.org/10.1177/08902070251319818.
Fütterer, Tim et al. (2026) ‘AI tools for systematic literature reviews and meta-analyses in educational psychology: An overview and a practical guide’, Learning and Individual Differences, 126. Available at: https://doi.org/10.1016/j.lindif.2025.102849.
Fütterer, Tim et al. (2026) ‘AI tools for systematic literature reviews and meta-analyses in educational psychology: An overview and a practical guide’, Learning and Individual Differences, 126. Available at: https://doi.org/10.1016/j.lindif.2025.102849.
Glunz, Elisabeth, Heidenreich, Anna and Gerhold, Lars (2026) ‘Adapting to the heat of the moment: A mobile experience sampling study on the dynamics of heat stress, appraisals, affect, and behaviour’, Journal of Environmental Psychology, 109. Available at: https://doi.org/10.1016/j.jenvp.2025.102893.
Glunz, Elisabeth, Heidenreich, Anna and Gerhold, Lars (2026) ‘Adapting to the heat of the moment: A mobile experience sampling study on the dynamics of heat stress, appraisals, affect, and behaviour’, Journal of Environmental Psychology, 109. Available at: https://doi.org/10.1016/j.jenvp.2025.102893.
de Hesselle, Lea C. et al. (2026) ‘Aversive Personality and RIASEC Dimensions: Findings Across Self-Reports, Registered Jobs, and Three Countries’, Journal of Personnel Psychology, 25, pp. 81–92. Available at: https://doi.org/10.1027/1866-5888/a000382.
de Hesselle, Lea C. et al. (2026) ‘Aversive Personality and RIASEC Dimensions: Findings Across Self-Reports, Registered Jobs, and Three Countries’, Journal of Personnel Psychology, 25, pp. 81–92. Available at: https://doi.org/10.1027/1866-5888/a000382.
Lavelle-Hill, R., Einsiedler, J., Appel, M., Harpviken, L. L., & Zettler, I. (2026) ‘Psychology of predictability: using machine learning and personality psychology to understand heterogeneity in algorithm prediction error’, in Personality and Individual Differences. In PERSONALITY AND INDIVIDUAL DIFFERENCES (Vol. 253). THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND: PERGAMON-ELSEVIER SCIENCE LTD.: Elsevier B.V. (Personality and Individual Differences).
Lavelle-Hill, R., Einsiedler, J., Appel, M., Harpviken, L. L., & Zettler, I. (2026) ‘Psychology of predictability: using machine learning and personality psychology to understand heterogeneity in algorithm prediction error’, in Personality and Individual Differences. In PERSONALITY AND INDIVIDUAL DIFFERENCES (Vol. 253). THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND: PERGAMON-ELSEVIER SCIENCE LTD.: Elsevier B.V. (Personality and Individual Differences).
Cremers, Jolien et al. (2025) ‘Unveiling the social fabric through a temporal, nation-scale social network and its characteristics’, Scientific Reports, 15. Available at: https://doi.org/10.1038/s41598-025-98072-2.
Cremers, Jolien et al. (2025) ‘Unveiling the social fabric through a temporal, nation-scale social network and its characteristics’, Scientific Reports, 15. Available at: https://doi.org/10.1038/s41598-025-98072-2.
Lavelle-Hill, Rosa, Smith, Gavin and Murayama, Kou (2025) ‘Bridging Traditional-Statistics and Machine-Learning Approaches in Psychology: Navigating Small Samples, Measurement Error, Nonindependent Observations, and Missing Data’, Advances in Methods and Practices in Psychological Science, 8. Available at: https://doi.org/10.1177/25152459251345696.
Lavelle-Hill, Rosa, Smith, Gavin and Murayama, Kou (2025) ‘Bridging Traditional-Statistics and Machine-Learning Approaches in Psychology: Navigating Small Samples, Measurement Error, Nonindependent Observations, and Missing Data’, Advances in Methods and Practices in Psychological Science, 8. Available at: https://doi.org/10.1177/25152459251345696.
Teutloff, Ole et al. (2025) ‘Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand’, Journal of Economic Behavior and Organization, 235. Available at: https://doi.org/10.1016/j.jebo.2024.106845.
Teutloff, Ole et al. (2025) ‘Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand’, Journal of Economic Behavior and Organization, 235. Available at: https://doi.org/10.1016/j.jebo.2024.106845.
Einsiedler, Johanna et al. (2025) ‘Nonresponse at three stages in personality research: Insights based on (Danish) register data of a representative potential participant pool’, PsyArXiv (OSF Preprints) [Preprint]. Center for Open Science (PsyArXiv (OSF Preprints)). Available at: https://doi.org/10.31234/osf.io/rgxym_v1.
Einsiedler, Johanna et al. (2025) ‘Nonresponse at three stages in personality research: Insights based on (Danish) register data of a representative potential participant pool’, PsyArXiv (OSF Preprints) [Preprint]. Center for Open Science (PsyArXiv (OSF Preprints)). Available at: https://doi.org/10.31234/osf.io/rgxym_v1.
Deininger, Hannah et al. (2025) ‘Who Did What to Succeed? Individual Differences in Which Learning Behaviors Are Linked to Achievement’, in 15th International Conference on Learning Analytics and Knowledge Lak 2025. (15th International Conference on Learning Analytics and Knowledge, LAK 2025), pp. 771–782. Available at: https://doi.org/10.1145/3706468.3706571.
Deininger, Hannah et al. (2025) ‘Who Did What to Succeed? Individual Differences in Which Learning Behaviors Are Linked to Achievement’, in 15th International Conference on Learning Analytics and Knowledge Lak 2025. (15th International Conference on Learning Analytics and Knowledge, LAK 2025), pp. 771–782. Available at: https://doi.org/10.1145/3706468.3706571.
Lavelle-Hill, R. et al. (2025) ‘An explainable artificial intelligence handbook for psychologists: Methods, opportunities, and challenges’, Psychological Methods [Preprint]. 31.07.2025. Available at: https://doi.org/10.1037/met0000772.
Lavelle-Hill, R. et al. (2025) ‘An explainable artificial intelligence handbook for psychologists: Methods, opportunities, and challenges’, Psychological Methods [Preprint]. 31.07.2025. Available at: https://doi.org/10.1037/met0000772.
Jach, Hayley K. et al. (2024) ‘Individual differences in information demand have a low dimensional structure predicted by some curiosity traits’, Proceedings of the National Academy of Sciences of the United States of America, 121. Available at: https://doi.org/10.1073/pnas.2415236121.
Jach, Hayley K. et al. (2024) ‘Individual differences in information demand have a low dimensional structure predicted by some curiosity traits’, Proceedings of the National Academy of Sciences of the United States of America, 121. Available at: https://doi.org/10.1073/pnas.2415236121.
Lavelle-Hill, Rosa et al. (2024) ‘How the Predictors of Math Achievement Change Over Time: A Longitudinal Machine Learning Approach’, Journal of Educational Psychology, 116, pp. 1383–1403. Available at: https://doi.org/10.1037/edu0000863.
Lavelle-Hill, Rosa et al. (2024) ‘How the Predictors of Math Achievement Change Over Time: A Longitudinal Machine Learning Approach’, Journal of Educational Psychology, 116, pp. 1383–1403. Available at: https://doi.org/10.1037/edu0000863.
Campos, Diego G. et al. (2024) ‘Screening Smarter, Not Harder: A Comparative Analysis of Machine Learning Screening Algorithms and Heuristic Stopping Criteria for Systematic Reviews in Educational Research’, Educational Psychology Review, 36. Available at: https://doi.org/10.1007/s10648-024-09862-5.
Campos, Diego G. et al. (2024) ‘Screening Smarter, Not Harder: A Comparative Analysis of Machine Learning Screening Algorithms and Heuristic Stopping Criteria for Systematic Reviews in Educational Research’, Educational Psychology Review, 36. Available at: https://doi.org/10.1007/s10648-024-09862-5.
Bardach, Lisa et al. (2024) ‘Cultural Diversity Climate in School: A Meta-Analytic Review of Its Relationships With Intergroup, Academic, and Socioemotional Outcomes’, Psychological Bulletin, 150, pp. 1397–1439. Available at: https://doi.org/10.1037/bul0000454.
Bardach, Lisa et al. (2024) ‘Cultural Diversity Climate in School: A Meta-Analytic Review of Its Relationships With Intergroup, Academic, and Socioemotional Outcomes’, Psychological Bulletin, 150, pp. 1397–1439. Available at: https://doi.org/10.1037/bul0000454.