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.
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
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2022
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Conference or Workshop item
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BAM: Benchmarking Argument Mining on Scientific Documents. In: The AAAI-22 Workshop on Scientific Document Understanding at the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), online due to COVID-19, 1 March 2022, CEUR Workshop Proceedings.
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Dissertation
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The Right Thing To Do? Artificial Intelligence for Ethical Decision Making. 2022, University of Zurich, Faculty of Economics.
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Mind the change, bridge the gap: investigating the impact of ontology evolution on materialisations and embeddings. 2022, University of Zurich, Faculty of Economics.
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Working Paper
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QAGCN: A Graph Convolutional Network-based Multi-Relation Question Answering System. ArXiv.org 2206.01818, Cornell University.
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2021
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Journal Article
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Beware of the hierarchy — An analysis of ontology evolution and the materialisation impact for biomedical ontologies. Journal of Web Semantics, 70:100658.
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The Complex Community Structure of the Bitcoin Address Correspondence Network. Frontiers in Physics, 9:681798.
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Outbreak detection for temporal contact data. Applied Network Science, 6:17.
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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.
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Diversity in News Recommendation. Dagstuhl Manifestos, 9(1):43-61.
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Book Section
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Pandemie als Informationskrise. In: Thier, Andreas; Rühli, Frank J. Weissbuch Corona: Die Schweiz nach der Pandemie. Befunde – Erkenntnisse – Perspektiven. Basel: Schwabe Verlagsgruppe AG, 186-191.
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Single Point Incremental Fourier Transform on 2D Data Streams. In: IEEE. 2021 IEEE 37th International Conference on Data Engineering (ICDE). New York: IEEE Xplore, 852-863.
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Female by Default? – Exploring the Effect of Voice Assistant Gender and Pitch on Trait and Trust Attribution. In: Kitamura, Yoshifumi; et al. CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, Art. 455.
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Second Chance for a First Impression? Trust Development in Intelligent System Interaction. In: Masthoff, Judith; et al. UMAP '21: Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 77-87.
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Understanding ε for Differential Privacy in Differencing Attack Scenarios. In: Garcia-Alfaro, Joaquin; et al. Security and Privacy in Communication Networks : 17th EAI International Conference, SecureComm 2021, Virtual Event, September 6–9, 2021, Proceedings, Part I. Cham: Springer, 187-206.
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Toward Measuring the Resemblance of Embedding Models for Evolving Ontologies. In: Gentile, Anna Lisa. K-CAP '21: Proceedings of the 11th on Knowledge Capture Conference. New York: ACM, 177-184.
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Considering Human Perception and Memory in Interactive Multimedia Retrieval Evaluations. In: Lokoč, Jakub; Skopal, Tomáš; Schoeffmann, Klaus; Mezaris, Vasileios; Li, Xirong; Vrochidis, Stefanos; Patras, Ioannis. MultiMedia Modeling. Cham: Springer, 605-616.
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Conference or Workshop item
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Positionspapier: Ein Rechtsrahmen für Künstliche Intelligenz. In: Workshop of the DSI (Digital Society Initiative) Strategy Lab, Balsthal, 26 August 2021 - 28 August 2021. Digital Society Initiative, 1-7.
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Exploring Graph-querying approaches in LifeGraph. In: ICMR '21: International Conference on Multimedia Retrieval, Taipei Taiwan, 21 September 2021. ACM, 7-10.
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VideoGraph – Towards Using Knowledge Graphs for Interactive Video Retrieval. In: International Conference on Multimedia Modeling, Prague, 22 July 2021 - 24 July 2021. Springer, 417-422.
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A System for Interactive Multimedia Retrieval Evaluations. In: International Conference on Multimedia Modeling, Prague, 22 July 2021 - 24 July 2021. Springer, 385-390.
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Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks. In: WWW '21: The Web Conference 2021, Ljubljana Slovenia, 19 April 2021 - 21 April 2021. Association for Computing Machinery, 2046-2057.
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Entity Prediction in Knowledge Graphs with Joint Embeddings. In: Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15), Mexico City, Mexico, 11 June 2021. ACL Anthology, 22-31.
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Edited Scientific Work
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2020
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Journal Article
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Implementations in Machine Ethics A Survey. ACM Computing Surveys, 53(6):Article 132.
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Real-time assessment of stress and stress response using digital phenotyping: a study protocol. Frontiers in Digital Health, 2:18.
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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(6):365-376.
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Diversity, Fairness, and Data-Driven Personalization in (News) Recommender System (Dagstuhl Perspectives Workshop 19482). Dagstuhl Manifestos, 9(11):117-124.
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Conference or Workshop item
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Towards Using Semantic-Web Technologies for Multi-Modal Knowledge Graph Construction. In: MM '20: The 28th ACM International Conference on Multimedia, Seattle WA USA, 12 November 2020 - 16 November 2020. ACM, 4645-4649.
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A Knowledge Graph-based System for Retrieval of Lifelog Data. In: International Semantic Web Conference, Online, 1 November 2020 - 6 November 2020. CEUR-WS, 223-228.
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ChImp: Visualizing Ontology Changes and their Impact in Protégé. In: Visualization and Interaction for Ontologies and Linked Data, co-located with ISWC2020, virtual, 2 November 2020, CEUR-WS.org.
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Differentially private stream processing for the semantic web. In: The Web Conference 2020, Taipei, Taiwan, 20 September 2020 - 24 September 2020. ACM, 1977-1987.
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LifeGraph: a Knowledge Graph for Lifelogs. In: Third Annual Workshop on the Lifelog Search Challenge, Dublin, Ireland, 9 June 2020, ACM.
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Dissertation
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Contextualized Search for Nearness. 2020, University of Zurich, Faculty of Economics.
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Monograph
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Wenn Algorithmen für uns entscheiden : Chancen und Risiken der künstlichen Intelligenz. Switzerland: TA-SWISS.
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Newspaper Article
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Daten nutzen, denn Daten nützen. In: Neue Zürcher Zeitung, 14 May 2020, 12.
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Working Paper
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Implementations in Machine Ethics: A Survey. ArXiv.org 07573, Cornell University.
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2019
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Journal Article
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A comparative survey of recent natural language interfaces for databases. VLDB Journal, 28(5):793-819.
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Conference or Workshop item
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Maximizing the Likelihood of Detecting Outbreaks in Temporal Networks. In: The 8th International Conference on Complex Networks and their Applications, Lisbon, 10 December 2019 - 12 December 2019. Springer, 481-493.
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Collaborative Streaming: Trust Requirements for Price Sharing. In: 4th Workshop on Real-time & Stream Analytics in Big Data & Stream Data Management, Los Angels, CA, USA, 10 December 2019. IEEE, 3498-3505.
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Toward Predicting Impact of Changes in Evolving Knowledge Graphs. In: ISWC 2019 Posters & Demonstrations, Auckland, 25 October 2019 - 30 October 2019, ISWC.
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Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. In: The Web Conference, San Francisco, 13 May 2019 - 17 May 2019, ACM Press.
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Interaction Embeddings for Prediction and Explanation in Knowledge Graphs. In: International Conference on Web Search and Data Mining (WSDM), Melbourne, 11 February 2019 - 15 February 2019, Association of Computing Machinery (ACM).
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Dissertation
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Negation in temporal-probabilistic databases. 2019, University of Zurich, Faculty of Economics.
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Newspaper Article
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Digitalisierung ist kein Wahlthema. In: Neue Zürcher Zeitung, 9 October 2019, p.9.
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2018
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Journal Article
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Jetzt experimentieren!. Schweizer Monat:82-85.
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Conference or Workshop item
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Aligning Knowledge Base and Document Embedding Models using Regularized Multi-Task Learning. In: The Semantic Web – ISWC 2018, Monterey, CA, USA, 8 October 2018 - 12 October 2018. Springer, 21-37.
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Make restaurants pay your server bills. In: ISWC 2018 Posters & Demonstrations and Industry Tracks, Monterey, California, USA, 8 October 2018 - 12 October 2018, CEUR-WS.org.
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Stream Processing: The Matrix Revolutions. In: SSWS 2018 Scalable Semantic Web Knowledge Base Systems, Monterey, California, USA, 9 October 2018. CEUR-WS.org, 15-27.
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Distributed Stream Consistency Checking. In: Web Engineering - 18th International Conference, ICWE 2018, Cáceres, Spain, June 5-8, 2018, Proceedings, Cáceres, Spain, 5 June 2018 - 8 June 2018. Springer, 387-403.
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Pagination
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.