Keynote Speaker 3: Dr Philipp Mayr-Schlegel


Dr. Philipp Mayr-Schlegel

Philipp Mayr is a deputy department head and 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 focuses on methods and techniques for interactive information retrieval.

His research interests include: 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.

Keynote: Working in an Open Science Environment: a factory report


In this talk, I will outline knowledge production processes under Open Science settings. I will introduce the audience to all relevant components of proper Open Science (publications, data, software, …). A focus will be the infrastructural aspects and issues of the current scholarly communication system. In the second part, I will report about two recent projects at GESIS which support Open Science. 1) the OSCOSS – Opening Scholarly Communication in the Social Sciences [1] project and 2) the EXCITE – Extraction of Citations from PDF Documents [2] project. Both software development projects tackle different stages in the scientific communication system and provide prototypical open technical infrastructures: for integrated collaborative writing, submitting and reviewing of academic papers in OSCOSS; for extracting, segmenting, matching and publishing of academic references from PDF full texts in EXCITE.