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

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
  - Han, X., Dell’Aglio, D., Grubenmann, T., Cheng, R., & Bernstein, A. (2022). A framework for differentially-private knowledge graph embeddings Journal of Web Semantics, 72, 100696. https://doi.org/10.1016/j.websem.2021.100696
  - Pernisch, R., Dell’Aglio, D., Serbak, M., Gonçalves, R. S., & Bernstein, A. (2022). Visualising the effects of ontology changes and studying their understanding with ChImp Journal of Web Semantics, 74, 100715. https://doi.org/10.1016/j.websem.2022.100715
  - Ramasamy, D., Sarasua, C., Bacchelli, A., & Bernstein, A. (2022). Workflow analysis of data science code in public GitHub repositories Empirical Software Engineering, 28, 7. https://doi.org/10.1007/s10664-022-10229-z
- Book Section
  - Theus, A., Rossetto, L., & Bernstein, A. (2022). HyText – A Scene-Text Extraction Method for Video Retrieval In B. Þór Jónsson & et al (Eds.), MultiMedia Modeling. MMM 2022. Lecture Notes in Computer Science, Part II (No. 13142; pp. 182–193). Springer. https://doi.org/10.1007/978-3-030-98355-0_16
- Conference or Workshop item
  - Sauter, L., Gasser, R., Bernstein, A., Schuldt, H., & Rossetto, L. (2022). An Asynchronous Scheme for the Distributed Evaluation of Interactive Multimedia Retrieval 33–39. https://doi.org/10.1145/3552467.3554797
  - Tolmeijer, S., Christen, M., Kandul, S., Kneer, M., & Bernstein, A. (2022). Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making 1–17. https://doi.org/10.1145/3491102.3517732
  - Klingler, Y., Lehmann, C., Monteiro, J. P., Saladin, C., Bernstein, A., & Stockinger, K. (2022). Evaluation of Algorithms for Interaction-Sparse Recommendations: Neural Networks don’t Always Win Advances in Database Technology, 475–486. https://doi.org/10.48786/edbt.2022.42
  - Kunam, L., Rossetto, L., & Bernstein, A. (2022). A Multi-Stream Approach for Video Understanding 7003–7007. https://doi.org/10.1145/3503161.3551567
  - Ruosch, F., Sarasua, C., & Bernstein, A. (2022). BAM: Benchmarking Argument Mining on Scientific Documents The AAAI-22 Workshop on Scientific Document Understanding at the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), online due to COVID-19.
- Dissertation
  - Tolmeijer, S. (2022). The Right Thing To Do? Artificial Intelligence for Ethical Decision Making (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-225097
  - Pernisch, R. (2022). Mind the change, bridge the gap: investigating the impact of ontology evolution on materialisations and embeddings (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-218245
- Working Paper
  - Wang, R., Rossetto, L., Cochez, M., & Bernstein, A. (2022). QAGCN: A Graph Convolutional Network-based Multi-Relation Question Answering System (2206.01818; ArXiv.Org). https://doi.org/10.48550/arXiv.2206.01818
2021
- Journal Article
  - Pernisch, R., Dell’Aglio, D., & Bernstein, A. (2021). Beware of the hierarchy — An analysis of ontology evolution and the materialisation impact for biomedical ontologies Journal of Web Semantics, 70, 100658. https://doi.org/10.1016/j.websem.2021.100658
  - Fischer, J. A., Palechor, A., Dell’Aglio, D., Bernstein, A., & Tessone, C. J. (2021). The Complex Community Structure of the Bitcoin Address Correspondence Network Frontiers in Physics, 9, 681798. https://doi.org/10.3389/fphy.2021.681798
  - Schweinsberg, M., Feldman, M., Staub, N., van den Akker, O. R., van Aert, R. C. M., van Assen, M. A. L. M., Liu, Y., Althoff, T., Heer, J., Kale, A., Mohamed, Z., Amireh, H., Venkatesh Prasad, V., Bernstein, A., Robinson, E., Snellman, K., Amy Sommer, S., Otner, S. M. G., Robinson, D., … Luis Uhlmann, E. (2021). Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis Organizational Behavior and Human Decision Processes, 165, 228–249. https://doi.org/10.1016/j.obhdp.2021.02.003
  - Bernstein, A., De Vreese, C., Helberger, N., Schulz, W., Zweig, K., et al, Heitz, L., & Tolmeijer, S. (2021). Diversity in News Recommendation Dagstuhl Manifestos, 9, 43–61. https://doi.org/10.4230/DagMan.9.1.43
  - Sterchi, M., Sarasua, C., Grütter, R., & Bernstein, A. (2021). Outbreak detection for temporal contact data Applied Network Science, 6, 17. https://doi.org/10.1007/s41109-021-00360-z
- Book Section
  - Ashena, N., Dell’Aglio, D., & Bernstein, A. (2021). Understanding ε for Differential Privacy in Differencing Attack Scenarios In J. Garcia-Alfaro & et al (Eds.), Security and Privacy in Communication Networks : 17th EAI International Conference, SecureComm 2021, Virtual Event, September 6–9, 2021, Proceedings, Part I (pp. 187–206). Springer. https://doi.org/10.1007/978-3-030-90019-9_10
  - Tolmeijer, S., Zierau, N., Janson, A., Wahdatehagh, J. S., Leimeister, J. M. M., & Bernstein, A. (2021). Female by Default? – Exploring the Effect of Voice Assistant Gender and Pitch on Trait and Trust Attribution In Y. Kitamura & et al (Eds.), CHI EA ’21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (p. Art. 455). ACM. https://doi.org/10.1145/3411763.3451623
  - Tolmeijer, S., Gadiraju, U., Ghantasala, R., Gupta, A., & Bernstein, A. (2021). Second Chance for a First Impression? Trust Development in Intelligent System Interaction In J. Masthoff & et al (Eds.), UMAP ’21: Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (pp. 77–87). ACM. https://doi.org/10.1145/3450613.3456817
  - Saad, M., Bernstein, A., Böhlen, M. H., & Dell’Aglio, D. (2021). Single Point Incremental Fourier Transform on 2D Data Streams In IEEE (Ed.), 2021 IEEE 37th International Conference on Data Engineering (ICDE) (pp. 852–863). IEEE Xplore. https://doi.org/10.1109/ICDE51399.2021.00079
  - Bernstein, A., & Thouvenin, F. (2021). Pandemie als Informationskrise In A. Thier & F. J. Rühli (Eds.), Weissbuch Corona: Die Schweiz nach der Pandemie. Befunde – Erkenntnisse – Perspektiven (pp. 186–191). Schwabe Verlagsgruppe AG.
  - Pernisch, R., Dell’Aglio, D., & Bernstein, A. (2021). Toward Measuring the Resemblance of Embedding Models for Evolving Ontologies In A. L. Gentile (Ed.), K-CAP ’21: Proceedings of the 11th on Knowledge Capture Conference (pp. 177–184). ACM. https://doi.org/10.1145/3460210.3493540
  - Rossetto, L., Bailer, W., & Bernstein, A. (2021). Considering Human Perception and Memory in Interactive Multimedia Retrieval Evaluations In J. Lokoč, T. Skopal, K. Schoeffmann, V. Mezaris, X. Li, S. Vrochidis, & I. Patras (Eds.), MultiMedia Modeling (No. 12572; pp. 605–616). Springer. https://doi.org/10.1007/978-3-030-67832-6_49
- Conference or Workshop item
  - Rossetto, L., Baumgartner, M., Gasser, R. M. P., Heitz, L., Wang, R., & Bernstein, A. (2021). Exploring Graph-querying approaches in LifeGraph 7–10. https://doi.org/10.1145/3463948.3469068
  - Rossetto, L., Baumgartner, M., Ashena, N., Ruosch, F., Pernisch, R., Heitz, L., & Bernstein, A. (2021). VideoGraph – Towards Using Knowledge Graphs for Interactive Video Retrieval (No. 12573). 417–422. https://doi.org/10.1007/978-3-030-67835-7_38
  - Rossetto, L., Gasser, R., Sauter, L., Bernstein, A., & Schuldt, H. (2021). A System for Interactive Multimedia Retrieval Evaluations 385–390. https://doi.org/10.1007/978-3-030-67835-7_33
  - Paudel, B., & Bernstein, A. (2021). Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks 2046–2057. https://doi.org/10.1145/3442381.3449970
  - Thouvenin, F., Christen, M., Bernstein, A., Braun Binder, N., Burri, T., Donnay, K., Jäger, L. A., Jaffé, M., Krauthammer, M., Lohmann, M., Mätzener, A., Mützel, S., Obrecht, L., Ritter, N., Spielkamp, M., & Volz, S. (2021). Positionspapier: Ein Rechtsrahmen für Künstliche Intelligenz 1–7. https://www.dsi.uzh.ch/dam/jcr:3a0cb402-c3b3-4360-9332-f800895fdc58/dsi-strategy-lab-21-de.pdf
  - Baumgartner, M., Dell’Aglio, D., & Bernstein, A. (2021). Entity Prediction in Knowledge Graphs with Joint Embeddings 22–31. https://doi.org/10.18653/v1/2021.textgraphs-1.3
- Edited Scientific Work
  - Hölldobler, S., Appel, S., Bernstein, A., Freiling, F., Lenhof, H.-P., Neumann, G., Reischuk, R., Römer, K. U., Scheuermann, B., Schweikardt, N., Spiliopoulou, M., Süsstrunk, S., & Wehrle, K. (Eds.). (2021). Ausgezeichnete Informatikdissertationen 2020 (Vol. 21). Gesellschaft für Informatik. https://dl.gi.de/handle/20.500.12116/37893/browse?type=title&sort_by=4
2020
- Journal Article
  - Tolmeijer, S., Kneer, M., Sarasua, C., Christen, M., & Bernstein, A. (2020). Implementations in Machine Ethics A Survey ACM Computing Surveys, 53, Article 132. https://doi.org/10.1145/3419633
  - Egger, S. T., Knorr, M., Bobes, J., Bernstein, A., Seifritz, E., & Vetter, S. (2020). Real-time assessment of stress and stress response using digital phenotyping: a study protocol Frontiers in Digital Health, 2, 18. https://doi.org/10.3389/fdgth.2020.544418
  - Vargas Amado, M. E., Grütter, R., Fischer, C., Suter, S., & Bernstein, A. (2020). Free-ranging wild boar (Sus scrofa) in Switzerland: casual observations and model-based projections during open and closed season for hunting Schweizer Archiv Für Tierheilkunde, 162, 365–376. https://doi.org/10.17236/sat00262
  - Bernstein, A., de Vreese, C. H., Helberger, N., Schulz, W., & Zweig, K. A. (2020). Diversity, Fairness, and Data-Driven Personalization in (News) Recommender System (Dagstuhl Perspectives Workshop 19482) Dagstuhl Manifestos, 9, 117–124. https://doi.org/10.4230/DagRep.9.11.117
- Conference or Workshop item
  - Baumgartner, M., Rossetto, L., & Bernstein, A. (2020). Towards Using Semantic-Web Technologies for Multi-Modal Knowledge Graph Construction 4645–4649. https://doi.org/10.1145/3394171.3416292
  - Rossetto, L., Baumgartner, M., Ashena, N., Ruosch, F., Pernisch, R., & Bernstein, A. (2020). A Knowledge Graph-based System for Retrieval of Lifelog Data CEUR Workshop Proceedings, 223–228. http://ceur-ws.org/Vol-2721/paper557.pdf
  - Pernisch, R., Serbak, M., Dell’ Aglio, D., & Bernstein, A. (2020, November 2). ChImp: Visualizing Ontology Changes and their Impact in Protégé Visualization and Interaction for Ontologies and Linked Data, co-located with ISWC2020, virtual.
  - Dell’Aglio, D., & Bernstein, A. (2020). Differentially private stream processing for the semantic web 1977–1987. https://doi.org/10.1145/3366423.3380265
  - Rossetto, L., Baumgartner, M., Ashena, N., Ruosch, F., Pernisch, R., & Bernstein, A. (2020, June 9). LifeGraph: a Knowledge Graph for Lifelogs Third Annual Workshop on the Lifelog Search Challenge, Dublin. https://doi.org/10.1145/3379172.3391717
- Dissertation
  - Novel, M. (2020). Contextualized Search for Nearness (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-197728
- Monograph
  - Christen, M., Mader, C., Čas, J., Abou-Chadi, T., Bernstein, A., Braun Binder, N., Dell’ Aglio, D., Fábián, L., Geroge, D., Gohdes, A., Hilty, L., Kneer, M., Krieger-Lamina, J., Licht, H., Scherer, A., Som, C., Sutter, P., & Thouvenin, F. (2020). Wenn Algorithmen für uns entscheiden : Chancen und Risiken der künstlichen Intelligenz. TA-SWISS. https://doi.org/10.3218/4002-9
- Newspaper Article
  - Thouvenin, F., von Wyl, V., & Bernstein, A. (2020, May 14). Daten nutzen, denn Daten nützen Neue Zürcher Zeitung, 12.
- Working Paper
  - Tolmeijer, S., Kneer, M., Sarasua, C., Christen, M., & Bernstein, A. (2020). Implementations in Machine Ethics: A Survey (No. 07573; ArXiv.Org). https://arxiv.org/abs/2001.07573
2019
- Journal Article
  - Affolter, K., Stockinger, K., & Bernstein, A. (2019). A comparative survey of recent natural language interfaces for databases The VLDB Journal, 28, 793–819. https://doi.org/10.1007/s00778-019-00567-8
  - Sterchi, M., Faverjon, C., Sarasua, C., Vargas, M. E., Berezowski, J., Bernstein, A., Grütter, R., & Nathues, H. (2019). The pig transport network in Switzerland: Structure, patterns, and implications for the transmission of infectious diseases between animal holdings PLoS ONE, 14, e0217974. https://doi.org/10.1371/journal.pone.0217974
- Conference or Workshop item
  - Sterchi, M., Sarasua, C., Grütter, R., & Bernstein, A. (2019). Maximizing the Likelihood of Detecting Outbreaks in Temporal Networks Studies in Computational Intelligence, 481–493. https://doi.org/10.1007/978-3-030-36683-4_39

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Important note about the Querix name

"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

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Brief Bio (German)

Kurzfassung

Publications

ZORA Publication List

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Publications

2022

Journal Article

Book Section

Conference or Workshop item

Dissertation

Working Paper

2021

Journal Article

Book Section

Conference or Workshop item

Edited Scientific Work

2020

Journal Article

Conference or Workshop item

Dissertation

Monograph

Newspaper Article

Working Paper

2019

Journal Article

Conference or Workshop item

Pagination