Vita/Bio

Brief Bio (English)

Version 1

Abraham Bernstein, Ph.D., is a Full Professor of Informatics at the University of Zurich (UZH), Switzerland. He received a Diploma in Computer Science from ETH Zurich and a Ph.D. in Management with a concentration in Information Technologies from the Sloan School of Management at MIT.

Mr. Bernstein is also a founding Director of the University of Zurich’s Digital Society Initiative (DSI) — a university-wide initiative with more than 180 faculty members from all disciplines investigating all aspects of the interplay between society and the digitalization and President of the Steering Committee of the Swiss National Science Foundation’s Research Priority Program 77 on the Digital Transformation. He was also a member of the Council of Europe’s Committee of Experts on human rights dimensions of automated data processing and different forms of artificial intelligence (MSI-AUT).

Professor Bernstein’s research research focuses on various aspects of the AI/data mining/machine learning, semantic web, recommender systems, crowd computing, and collective intelligence. His work is based on both social science (organizational psychology/sociology/economics) and technical (computer science, artificial intelligence) foundations. His research in this area has been published in leading Computer Science, Management Science, and AI professional outlets. It has also been covered by the Swiss Press. Professor Bernstein has served on the editorial boards of a variety of top journals including as an Editor at the Journal of Web Semantics, Associate Editor at the ACM Transaction on Internet Technologies or ACM Transactions on Interactive Intelligent Systems.

Version 2

Abraham Bernstein is a Full Professor of Informatics at the University of Zurich (UZH), Switzerland. His current research focuses on various aspects of the semantic web, recommender systems, data mining/machine learning, crowd computing, and collective intelligence. His work is based on both social science (organizational psychology/sociology/economics) and technical (computer science, artificial intelligence) foundations.

Mr. Bernstein is also a founding Director of the University of Zurich’s Digital Society Initiative (DSI) — a university-wide initiative with more than 180 faculty members investigating all aspects of the interplay between society and the digitalization.

Prior to joining the University of Zurich, Mr. Bernstein was on the faculty at New York University and also worked in industry. Mr. Bernstein is a Ph.D. from MIT and holds a Diploma in Computer Science from the Swiss Federal Institute in Zurich (ETH).

Short version

Abraham Bernstein is a Full Professor of Informatics as well as director of the Digital Society Initiative at the University of Zurich (UZH), Switzerland. His current research focuses on various aspects of the semantic web, data mining/machine learning, and collective intelligence. His work is based on both social science (organizational psychology/sociology/economics) and technical (computer science, artificial intelligence) foundations. Prior to joining the University of Zurich Mr. Bernstein was on the faculty at New York University and also worked in industry. Mr. Bernstein is a Ph.D. from MIT and holds a Diploma in Computer Science from the Swiss Federal Institute in Zurich (ETH).

Brief Bio (German)

Abraham Bernstein ist Ordentlicher Professor für Informatik an der der Universität Zürich (UZH), geschäftsführender Direktor der UZH Digital Society Initiative, der universitätsweiten Digitalisierungsinitiative mit Mitwirkung von mehr als 175 Professor*innen aus allen Disziplinen, sowie Präsident der Leitungsgruppe des Nationalen Forschungsschwerpunktes 77 des SNF zur Digitalen Transformation.

Er studierte an der ETH Zürich Informatik und promovierte am Massachusetts Institute of Technology. Seine Forschung basiert sowohl auf technischen wie auch sozialwissenschaftlichen Grundlagen und beinhaltet Themen wie die Künstliche Intelligenz, das Semantische Web, Maschinelles Lernen, heterogene Datenintegration, die digitale Demokratie/Medien sowie das Wechselspiel zwischen der Technologie und der Gesellschaft.

Kurzfassung

Abraham Bernstein, Ordentlicher Professor für Informatik, ist der Direktor der Digital Society Initiative der Universität Zürich (UZH). Er studierte an der ETH Zürich Informatik und promovierte an der Sloan School of Management des Massachusetts Institute of Technology (MIT). Von 2000 bis 2002 war er als Assistenzprofessor für Informationssysteme an der Stern School of Business der New York University tätig. Abraham Bernsteins Forschungsinteressen beinhalten das Semantische Web, Data-Mining, heterogene Datenintegration sowie das Wechselspiel zwischen sozialen und technischen Elementen der Informatik.

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Publications

A mostly up-to-date list of my publications. A publication list of the whole research group can be found here.

A separate page with all publications can be found here.

We are, sadly, experiencing some problems with our traditional component listing publications (whichy ou can still find below, but I added the link to the UZH repository (ZORA), which is not 100% complete right here. For the time being, complete lists can be found at the links above.

ZORA Publication List

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Publications

2026
- Journal Article
  - Bachmann, F., van der Weijden, D., Sarasua Garmendia, C., & Bernstein, A. (2026). Estimating the Recommendation Certainty in Candidate‐Based Voting Advice Applications Politics and Governance, 14, 11256. https://doi.org/10.17645/pag.11256
2025
- Journal Article
  - Wardatzky, K., Inel, O., Rossetto, L., & Bernstein, A. (2025). Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation ACM Transactions on Recommender Systems, 3, 1–35. https://doi.org/10.1145/3716394
  - Ruosch, F., Sarasua Garmendia, C., & Bernstein, A. (2025). Mining Inter-Document Argument Structures in Scientific Papers for an Argument Web Transactions on Graph Data and Knowledge (TGDK), 3, 4:1-4:33. https://doi.org/10.4230/TGDK.3.3.4
  - Ramasamy, D., Sarasua Garmendia, C., & Bernstein, A. (2025). AI support for data scientists: An empirical study on workflow and alternative code recommendations Empirical Software Engineering, 30, 133. https://doi.org/10.1007/s10664-025-10622-4
  - Willis, N., Bernstein, A., & Rossetto, L. (2025). Effects of Human Cognition-Inspired Task Presentation on Interactive Video Retrieval ACM Transactions on Multimedia Computing Communications and Applications, 21, 1–25. https://doi.org/10.1145/3727983
  - Bachmann, F., Van Der Weijden, D., Heitz, L., Sarasua Garmendia, C., & Bernstein, A. (2025). Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions PLoS ONE, 20, e0322690. https://doi.org/10.1371/journal.pone.0322690
  - Sauter, L., Gasser, R., Schuldt, H., Bernstein, A., & Rossetto, L. (2025). Performance Evaluation in Multimedia Retrieval ACM Transactions on Multimedia Computing Communications and Applications, 21, 1–23. https://doi.org/10.1145/3678881
- Conference or Workshop item
  - Kottekulam Vasu, R., Basu, C., Dalvi Mishra, B., Sarasua Garmendia, C., Peter Clark, & Bernstein, A. (2025). HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance 25425–25450. https://doi.org/10.18653/v1/2025.emnlp-main.1292
  - Wardatzky, K., Inel, O., & Bernstein, A. (2025, September 26). Toward Operationalizing a Comprehensive Evaluation Framework for Recommender Systems Explanations Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems Workshop (BEYOND 2025), Prague, Czech Republic. https://ceur-ws.org/Vol-4063/paper2.pdf
  - Heitz, L., Li, R., Inel, O., & Bernstein, A. (2025). Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations 792–801. https://doi.org/10.1145/3705328.3748148
  - Li, R., Heitz, L., Inel, O., & Bernstein, A. (2025). D-RDW: Diversity-Driven Random Walks for News Recommender Systems 558–563. https://doi.org/10.1145/3705328.3748016
  - Wang, R., Zhang, Z., Rossetto, L., Ruosch, F., & Bernstein, A. (2025). NLQxform-UI: An Interactive and Intuitive Scholarly Question Answering System 3990–3993. https://doi.org/10.1145/3726302.3730153
  - Ruosch, F., Vasu, R., Wang, R., Rossetto, L., & Bernstein, A. (2025). An Extended Evaluation of Single-Label Multi-modal Field of Research Classification Using a Taxonomy-Based Metric Lecture Notes in Computer Science, 167–182. https://doi.org/10.1007/978-3-031-78955-7_16
- Dissertation
  - Ruosch, F. P. (2025). Connecting the dots: toward the argument Web of Science (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-277035
  - Ruosch, F. P. (2025). Connecting the dots: toward the Argument Web of Science (Dissertation, University of Zurich)
- Scientific Publication in Electronic Form
  - Bernstein, A., Carrasquilla Alvarez, J., Christen, M., Del Rio, L., Diamanti, E., Hempel, C., Leuenberger, M., Lukic, D., Maletinsky, P., Neupert, T., Nurgalieva, N., Potts, P., Schaffner, C., Thew, R., Tomm, N., & Wolf-Bauwens, M. L. A. (2025). Recommendations for a Future with Quantum Technology https://perma.cc/QE64-DV4M
2024
- Journal Article
  - Gilardi, F., Kasirzadeh, A., Bernstein, A., Staab, S., & Gohdes, A. (2024). We need to understand the effect of narratives about generative AI Nature Human Behaviour, 8, 2251–2252. https://doi.org/10.1038/s41562-024-02026-z
  - Tolmeijer, S., Arpatzoglou, V., Rossetto, L., & Bernstein, A. (2024). Trolleys, crashes, and perception - a survey on how current autonomous vehicles debates invoke problematic expectations AI and Ethics, 4, 473–484. https://doi.org/10.1007/s43681-023-00284-7
  - Willi, J., Bernstein, A., & Rossetto, L. (2024). Unified Multimedia Segmentation - A Comprehensive Model for URI-based Media Segment Representation Transactions on Graph Data and Knowledge (TGDK), 2, 1–34. https://doi.org/10.4230/TGDK.2.3.1
- Book Section
  - Ruosch, F., Sarasua Garmendia, C., Reed, C., & Bernstein, A. (2024). Toward the Argument Web of Science In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational Models of Argument: Proceedings of COMMA 2024 (No. 388; pp. 365–366). I O S Press. https://doi.org/10.3233/faia240342
  - Ruosch, F., Lawrence, J., Sarasua Garmendia, C., & Bernstein, A. (2024). A Unified Benchmark for Argument Mining In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational Models of Argument: Proceedings of COMMA 2024 (No. 388; pp. 363–364). I O S Press. https://doi.org/10.3233/faia240341
  - Ruosch, F., Watter, J., Sarasua, C., & Bernstein, A. (2024). Documents with Integrated Visually Annotated Arguments In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational models of argument: Proceedings of COMMA 2024 (No. 388; pp. 367–368). I O S Press. https://doi.org/10.3233/faia240343
- Conference or Workshop item
  - Vasu, R., Sarasua, C., & Bernstein, A. (2024). SciHyp: A Fine-Grained Dataset Describing Hypotheses and Their Components from Scientific Articles Lecture Notes in Computer Science, 134–152. https://doi.org/10.1007/978-3-031-77847-6_8
  - Rossetto, L., Sarasua, C., & Bernstein, A. (2024). Estimating the Semantic Density of Visual Media 4601–4609. https://doi.org/10.1145/3664647.3681594
  - Heitz, L., Croci, J. A., Sachdeva, M., & Bernstein, A. (2024). Informfully – Research Platform for Reproducible User Studies Proceedings of the ACM Conference on Recommender Systems, 660–669. https://doi.org/10.1145/3640457.3688066
  - Fürer, D. L., Bernstein, A., & Rossetto, L. (2024). A Comparison of Late-Fusion Training Strategies for Quad-Modal Joint Embeddings Proceedings of the International Conference on Content-Based Multimedia Indexing, 1–7. https://doi.org/10.1109/cbmi62980.2024.10859218
  - Bachmann, F., Sarasua, C., & Bernstein, A. (2024). Fast and Adaptive Questionnaires for Voting Advice Applications Lecture Notes in Artificial Intelligence, 365–380. https://doi.org/10.1007/978-3-031-70381-2_23
  - Rossetto, L., Kyriakou, A., Lange, S., Ruosch, F., Wang, R., Wardatzky, K., & Bernstein, A. (2024). LifeGraph 4 - Lifelog Retrieval using Multimodal Knowledge Graphs and Vision-Language Models 88–92. https://doi.org/10.1145/3643489.3661127
  - Ruosch, F., Kottekulam Vasu, R., Wang, R., Rossetto, L., & Bernstein, A. (2024). Single-label multi-modal field of research classification In G. Rehm, S. Dietze, S. Schimmler, & F. Krüger (Eds.), Lecture Notes in Computer Science (No. 14770; pp. 224–233). Springer (Bücher). https://doi.org/10.1007/978-3-031-65794-8_15
  - Meguellati, E., Han, L., Bernstein, A., Sadiq, S., & Demartini, G. (2024). How Good are LLMs in Generating Personalized Advertisements? Proceedings of the International World Wide Web Conference, 826–829. https://doi.org/10.1145/3589335.3651520
  - Heitz, L., Bernstein, A., & Rossetto, L. (2024). An Empirical Exploration of Perceived Similarity between News Article Texts and Images CEUR Workshop Proceedings, online. https://ceur-ws.org/Vol-3658/paper8.pdf
  - Heitz, L., Chan, Y. K., Li, H., Zeng, K., Bernstein, A., & Rossetto, L. (2024). Prompt-based Alignment of Headlines and Images Using OpenCLIP CEUR Workshop Proceedings, online. https://ceur-ws.org/Vol-3658/paper7.pdf
  - Wang, R., Rossetto, L., Cochez, M., & Bernstein, A. (2024). QAGCN: Answering Multi-relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs Lecture Notes in Computer Science, 41–58. https://doi.org/10.1007/978-3-031-60626-7_3
  - Ashena, N., Inel, O., Persaud, B. L., & Bernstein, A. (2024). Casual Users and Rational Choices within Differential Privacy Proceedings of the IEEE Symposium on Security and Privacy, 87. https://doi.org/10.1109/SP54263.2024.00088
  - Skaf-Molli, H., Molli, P., Ibáñez, L.-D., & Bernstein, A. (2024). Enabling Delayed-Answer Auctions for RDF Knowledge Graphs Monetisation Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI, 279–293. https://doi.org/10.3233/SSW240022
- Dissertation
  - Ramasamy, D. (2024). Towards AI-assisted data science development. Decoding, visualising, and enhancing human-AI collaboration for data science workflows in practice (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-269931
- Scientific Publication in Electronic Form
  - Bernstein, A., Cordoba, A., Witt, C., Siegers, D., Wessels, D., Thouvenin, F., Hastings, J., Coors, M., & Christen, M. (2024). KI in Bildung, Forschung und Innovation DSI Strategy Lab 2023 — Positionspapier https://perma.cc/F5YX-Q955
2023
- Journal Article
  - Sterchi, M., Hilfiker, L., Grütter, R., & Bernstein, A. (2023). Active querying approach to epidemic source detection on contact networks Scientific Reports, 13, 11363. https://doi.org/10.1038/s41598-023-38282-8
  - Ramasamy, D., Sarasua, C., Bacchelli, A., & Bernstein, A. (2023). Visualising data science workflows to support third-party notebook comprehension: an empirical study Empirical Software Engineering, 28, 58. https://doi.org/10.1007/s10664-023-10289-9
  - Bernstein, A., Gohdes, A., Sarasua Garmendia, C., Staab, S., & Noveck, B. S. (2023). Challenges and opportunities of democracy in the digital society: report from Dagstuhl Seminar 22361 Dagstuhl Manifestos, 12, 1–19. https://drops.dagstuhl.de/opus/volltexte/2023/17807/pdf/dagrep_v012_i009_p001_22361.pdf
  - Baumgartner, M., Dell’Aglio, D., Paulheim, H., & Bernstein, A. (2023). Towards the Web of Embeddings: Integrating multiple knowledge graph embedding spaces with FedCoder Journal of Web Semantics, 75, 100741. https://doi.org/10.1016/j.websem.2022.100741
- Book Section
  - Lakics, V., Rossetto, L., & Bernstein, A. (2023). Link-Rot in Web-Sourced Multimedia Datasets In D.-T. Dang-Nguyen, C. Gurrin, M. Larson, A. F. Smeaton, S. Rudinac, M.-S. Dao, C. Trattner, & P. Chen (Eds.), MultiMedia Modeling (No. 13833; pp. 476–488). Springer. https://doi.org/10.1007/978-3-031-27077-2_37
- Conference or Workshop item
  - Heitz, L., Lischka, J. A., Abdullah, R., Laugwitz, L., Meyer, H., & Bernstein, A. (2023). Deliberative Diversity for News Recommendations: Operationalization and Experimental User Study Proceedings of the ACM Conference on Recommender Systems, 813–819. https://doi.org/10.1145/3604915.3608834
  - Rossetto, L., Inel, O., Lange, S., Ruosch, F., Wang, R., & Bernstein, A. (2023). Multi-Mode Clustering for Graph-Based Lifelog Retrieval (C. Gurrin, B. P. Jonsson, D. T. D. Nguyen, G. Healy, J. Lokoc, L. Zhou, L. Rossetto, M.-T. Tran, W. Hurst, W. Bailer, & K. Schoeffmann, Eds.; pp. 36–40). ACM Digital library. https://doi.org/10.1145/3592573.3593102
  - Ruosch, F., Sarasua, C., & Bernstein, A. (2023). DREAM: Deployment of Recombination and Ensembles in Argument Mining Proceedings of the Conference on Empirical Methods in Natural Language Processing, 5277–5290. https://doi.org/10.18653/v1/2023.emnlp-main.320
  - Wang, R., Zhang, Z., Rossetto, L., Ruosch, F., & Bernstein, A. (2023). NLQxform: A Language Model-based Question to SPARQL Transformer CEUR Workshop Proceedings, online. https://ceur-ws.org/Vol-3592/paper2.pdf
- Dissertation
  - Sterchi, M. (2023). Computational Approaches to Epidemic Prevention on Contact Networks (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-232841
2022
- Journal Article
  - Heitz, L., Lischka, J. A., Birrer, A., Paudel, B., Tolmeijer, S., Laugwitz, L., & Bernstein, A. (2022). Benefits of Diverse News Recommendations for Democracy: A User Study Digital Journalism, 10, 1710–1730. https://doi.org/10.1080/21670811.2021.2021804
  - Thouvenin, F., de Werra, J., Benhamou, Y., Bernstein, A., Gille, F., Kuonen, D., Lovis, C., Volz, S., & von Wyl, V. (2022). Governance Mechanisms for Access and Use of Data in Public Health Crises: Call for Action Jusletter, online. https://doi.org/10.38023/01946486-4c4f-418d-8613-ab992853c707
  - Thouvenin, F., de Werra, J., Benhamou, Y., Bernstein, A., Gille, F., Kuonen, D., Lovis, C., Volz, S., & von Wyl, V. (2022). Access and Use of Data in Public Health Crises: A Call for New Governance Mechanisms Jusletter, online. https://doi.org/10.38023/01946486-4c4f-418d-8613-ab992853c707

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"Querix" is a registered trademark of Querix (UK) Ltd. (http://www.querix.com). The above mentioned tool/interface/publication named "Querix" was elaborated independent from Querix (UK) Ltd.

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Vita/Bio

Brief Bio (English)

Version 1

Version 2

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Brief Bio (German)

Kurzfassung

Publications

ZORA Publication List

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Publications

2026

Journal Article

2025

Journal Article

Conference or Workshop item

Dissertation

Scientific Publication in Electronic Form

2024

Journal Article

Book Section

Conference or Workshop item

Dissertation

Scientific Publication in Electronic Form

2023

Journal Article

Book Section

Conference or Workshop item

Dissertation

2022

Journal Article

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