Dr Philipp Mayr is a team leader at the GESIS department Knowledge Technologies for the Social Sciences (WTS). He has been a visiting professor for knowledge representation at University of Applied Sciences in Darmstadt, Department of Information Science & Engineering during 2009-2011. Philipp Mayr received his PhD in applied informetrics and information retrieval from the Berlin School of Library and Information Science at Humboldt University Berlin in 2009. To date, he has been awarded substantial research funding (PI, Co-PI) from national and European funding agencies. Philipp Mayr has published in top conferences and prestigious journals in the areas informetrics, information retrieval and digital libraries. His research group Information and Data Retrieval is working in the field of interactive information and dataset retrieval. Philipp Mayr is member of the editorial board of the journals Scientometrics, International Journal on Digital Libraries, New Review of Hypermedia and Multimedia. He serves frequently as a reviewer for various journals and international conference program committees (e.g. JCDL, ECIR, TPDL, Open Science Conference, ASIST).
I was General Chair of the 41st European Conference on Information Retrieval (ECIR 2019) in April 2019.
team “Information and Data Retrieval” maintain and further develop the
following information systems:
- GESIS Search https://search.gesis.org/
- FID Politik Pollux https://www.pollux-fid.de/
- ExploreData https://data.gesis.org/exploredata/
My team at GESIS maintains and further develops data and information retrieval systems for the social sciences. The typical approach to integrate research results in our products at GESIS is evaluating early research prototypes with use cases developed together with our community and then implementing the modules which have shown the most positive effects in our productive systems. Future directions of my research will focus on evaluation of user-centric value-added services for interactive IR in large-scale information systems and on the other side the investigation of new methodologies to better study user behavior.
I lead the following research projects: ConDATA, EXCITE, OASE, POLLUX
Selection of finished projects: OSCOSS, AMUR, IRM, SWISSBIB, Self-Citations
Research interests: interactive information retrieval, scholarly recommendation systems, non-textual ranking, bibliometric and scientometric methods, applied informetrics, science models in digital libraries, knowledge representation, semantic technologies, user studies, information behavior