Organizing Committee

Tirthankar Ghosal

Oak Ridge National Laboratory, USA

Tirthankar Ghosal is a staff scientist at the National Center for Computational Sciences at the Oak Ridge National Laboratory, USA (Department of Energy). He is also a faculty affiliate (adjunct) at the University of Tennessee, Knoxville, where he teaches graduate-level classes in Artificial Intelligence. His current research interests are AI/NLP for various AI for Science problems, which include foundation model training (e.g., Astrophysics, Materials Science), hypothesis generation, peer reviews, and agentic AI for scientific discovery. He is also the lead PI of the AI for Operations program at ORNL. He has been part of the organizing committee, program committee, D&I committee, and area chair of several mainstream NLP/AI conferences, workshops, and shared tasks. Tirthankar has been the founding organizer of the SDP workshop series since its inception in 2019.

Tirthankar Ghosal

Philipp Mayr

GESIS – Leibniz Institute for the Social Sciences, Germany

Philipp Mayr is a team leader at the GESIS -- Leibniz-Institute for the Social Sciences department Knowledge Technologies for the Social Sciences. Philipp Mayr received his PhD in applied informetrics and information retrieval from Humboldt University Berlin in 2009. His research group focuses on methods and techniques for interactive information and data retrieval. Philipp was the main organizer of the BIR workshops at ECIR 2014-2024 and the BIRNDL workshops at JCDL and SIGIR.

Philipp Mayr

Anita de Waard

Elsevier, USA

Anita is VP of Research Collaborations, where her work focuses on working with academic and industry partners on projects pertaining to progressing modes and frameworks for scholarly communication. She works on bridging the gap between science publishing and computational and information technologies. De Waard has worked on discourse analysis of scientific narratives, with an emphasis on finding key epistemic components in biological text, and helped establish the TAC BiomedSumm task in 2014.

Anita de Waard

Aakanksha Naik

Allen Institute for AI, USA

Aakanksha Naik is a research scientist on the Semantic Scholar team at AI2, where her work focuses on information extraction from scholarly literature and leveraging scientific knowledge to assist human decision-making. She received her PhD in language technologies from Carnegie Mellon University. She was a co-organizer of the PAN-DL workshop at COLING 2022 and organized mentorship programs at NAACL 2019, ACL 2019, ACL 2020 and ACL 2022.

Aakanksha Naik

Amanpreet Singh

Allen Institute for AI, USA

Amanpreet is a Research Engineer in the Semantic Scholar team at AI2, with a focus on applying NLP to create tools and resources like SciRepEval for tasks in the scientific literature domain. He holds a Master's degree in Computer Science with Data Science specialization from Stony Brook University.

Amanpreet Singh

Dayne Freitag

SRI International, USA

Dayne is a Program Director and head of the Advanced Analytics group in the Artificial Intelligence Center at SRI International. Dayne holds a PhD in Computer Science from Carnegie Mellon University. A core focus of his group is integrative and multimodal information extraction from the scientific literature.

Dayne Freitag

Georg Rehm

German Research Center for Artificial Intelligence (DFKI), Germany

Georg Rehm is a Principal Researcher and Research Fellow at the German Research Center for Artificial Intelligence (DFKI) in Berlin, Germany, and an adjunct professor at Humboldt-Universität zu Berlin. Among his main interests are scholarly information processing, especially with regard to research data handling and processing. Georg has organised dozens of scientific workshops and conferences, most recently the 1st International Workshop on Natural Scientific Language Processing, co-located with the Extended Semantic Web Conference (May 2024).

Georg Rehm

Sonja Schimmler

Fraunhofer FOKUS, Germany

Sonja Schimmler is a visiting professor for research data infrastructure at Technical University of Berlin. At the same time, she is research group lead at Fraunhofer FOKUS. Her research focuses on the digitalization and opening up of science. She puts a special emphasis on research data infrastructures. Her research interests range from Semantic Web and Linked Data over Data Science and Artificial Intelligence to Software Engineering and Human-Centered Computing. Most recently, she has co-organized the workshops NSLP@ESWC2024 and Sci-K@ ISWC2024.

Sonja Schimmler

Dan Li

Elsevier, Netherlands

Dan is a data scientist at Elsevier, working on dense retrieval, extreme multi-label classification, and document-based question answer generation using generative AI. She did her PhD from the University of Amsterdam. She is also a member of European Laboratory for Learning and Intelligent Systems (ELLIS). She was an organizer of CLEF TAR challenge in 2017, 2018, and 2019 and has been in the program committee of premier IR and NLP conferences.

Dan Li