• Bräuninger Thomas, Marc Debus (2025): WiR2020, pp. 444-445. Wiesbaden, Springer VS

• Tosun Jale, Marc Debus (2025): The Fridays for Future Movement and the Repoliticization of Climate Change Policy in Germany, pp. 19-34. Cambridge, Cambridge University Press

• Kappenberger Jakob, Clara Strasser Ceballos, Frederic Gerdon, Daria Szafran, Heiner Stuckenschmidt, Ruben Bach, Frauke Kreuter, Christoph Kern, Kai Rupp (2025): Unintended impacts of automation for integration? Simulating integration outcomes of algorithm-based refugee allocation in Germany, Proceedings of the Eighth AAAI/ACM Conference on AI, Ethics, and Society (AIES-25), 2, 2, pp. 1375-1387. Washington, DC, Association for the Advancement of ArtificialIntelligence

• Gross Martin, Jochen Müller, Christian Stecker, Marc Debus (2025): Parteiensysteme und Regierungsbildungen in den deutschen Bundesländern von 1946 bis 2023, pp. 23-51. Wiesbaden, Springer

• Gerdon Frederic, Jakob Kappenberger, Clara Strasser Ceballos, Christoph Kern, Ruben Bach, Daria Szafran, Florian Rupp (2025): Unintended Impacts of Automation for Integration? Simulating Integration Outcomes of Algorithm-Based Asylum Seeker Allocation in Germany, [ ECSR 2025 Annual Conference "Demography & Social Inequality", Köln, ]

• Gerdon Frederic (2025): Preserving data privacy – More than a technical challenge, [ Creating Spaces for Digital Futures, Bochum, ]

• Gerdon Frederic, Louis Longin (2025): When Does Inference-making Violate Individuals' Privacy (Rights)?, [ The Data & AI Ethics Workshop, München, ]

• Fritz Maren, Florian Keusch, Monica Perez, Nina Berg, Patrick Lusyne (2025): Experiences from experiments with smart surveys in the Smart Survey Implementation project, [ New Techniques and Technologies for Statistics (NTTS 2025), Brüssel, ]

• Trappmann Mark, Frieder Rodewald, Florian Keusch, Valerie Hase, Frauke Kreuter, Sebastian Prechsl (2025): Maximizing Data Yield - An Experimental Study of Framing and Motivation in Data Donation, [ 42. Kongress der Deutschen Gesellschaft für Soziologie, Duisburg, ]

• Trappmann Mark, Frieder Rodewald, Florian Keusch, Valerie Hase, Frauke Kreuter, Sebastian Prechsl (2025): Maximizing Data Yield - An Experimental Study of Framing, Motivation and Persuasion in Data Donation, [ 42. Kongress der Deutschen Gesellschaft für Soziologie, Duisburg, ]

• Mata Jutta (2025): Bringing change to the table: The role of social context in healthy and sustainable eating, [ Bühler-Kolloquium, Dresden, ]

• Antoni Manfred, Jörg Dollmann, Alexandra Schmucker, Markus Weißmann (2025): Children of Immigrants Longitudinal Survey in Four European Countries - Germany linked to administrative data of the IAB (CILS4EU-DE-ADIAB) 1975-2023, Nürnberg, Forschungsdatenzentrum der Bundesagentur für Arbeit

• Weißmann Markus, Tobias Roth (2025): Conflict and support during apprenticeship training in Germany: consequences for apprenticeship success and further employment in the company, Empirical Research in Vocational Education and Training, 17, 1, pp. (article no 17), 1-43.

• Hölzl Johanna, Florian Keusch, Christoph Sajons (2025): The (mis)use of Google Trends data in the social sciences - A systematic review, critique, and recommendations, Social Science Research, 126, Article 103099, pp. 1-22.

• Behrman Julia, Emily Marshall, Florian Keusch (2025): An experimental approach to assessing young women's childbearing preferences: A research note on the United States, Demography, 62, 3, pp. 773–785.

• Yan Ting, Alexandru Cernat, Florian Keusch (2025): The Impact of Scale Direction on Data Quality, Survey Research Methods, 19, 2, pp. 175-186.

• Keusch Florian, Bella Struminskaya, Joris Mulder (2025): Data Donation as a Method to Measure Physical Activity in Older Adults: Cross-Sectional Web Survey Assessing Consent Rates, Donation Success, and Bias, Journal of Medical Internet Research : JMIR, 27, Article e69799 , pp. 1-19.

• Cernat Alexandru, Florian Keusch, Ruben Bach, Paulina K. Pankowska (2025): Estimating Measurement Quality in Digital Trace Data and Surveys Using the MultiTrait MultiMethod Model, Social Science Computer Review, 43, 5, pp. 1013-1029.

• Kern Christoph, Jakob Kappenberger, Frederic Gerdon, Clara Strasser Ceballos, Daria Szafran, Kai Rupp, Ruben L. Bach (2025): A Simulation Framework for Studying the Social Impacts of Algorithm-Based Refugee Matching, Proceedings of Machine Learning Research : PMLR, 294, pp. 487-491.

• Esser Hartmut (2025): Kognitive Differenzierung und Kollateral-Stratifikation. Effekte des stringenten Ability-Tracking auf die (Ent-)Kopplung kognitiver und sozialer Einflüsse auf die Leistungen in der Sekundarstufe, Kölner Zeitschrift für Soziologie und Sozialpsychologie, 77, pp. 215–246.

• John Melvin, Herbert Bless, Michaela Wänke (2025): What you see is what you get: The effect of perceived inequality on subjective well-being, Journal of Happiness Studies, 26, 6, Article no 86, pp. 1-22.

• Palmeira António L, Eliana Carraça, Inês Santos, Marlene N. Silva, David Sánchez-Oliva, Graham Horgan, R. James Stubbs, Berit L. Heitmann, Jutta Mata (2025): Exercise and eating motivation in weight loss maintenance: revisiting the motivational spillover with the NoHoW study, Annals of Behavioral Medicine, 59, 1, pp. Article kaaf054.

• Mata Jutta, Vanessa Knobl, Masanori Takezawa (2025): Exploring the role of adolescents in healthier, more sustainable family meals:A decision study on meat consumption, Appetite : Multidisciplinary Research on Eating and Drinking, 208, Article 107916, pp. 1-10.

• Hofmann Wilhelm, Cornelia Betsch, Ralph Hertwig, Jutta Mata, Robert Böhm, Denise de Ridder, Stefan Drews, Falko F. Sniehotta (2025): Rethinking behaviour change interventions in policymaking., Nature Human Behaviour, 9, 9, pp. 1765-1767.

• Mata Jutta, Ralph Hertwig, Maria Almudena Claassen (2025): The (mis-)measurement of food decisions, Appetite : Multidisciplinary Research on Eating and Drinking,