Call for Abstracts and Participation
2nd Workshop on Biomedical Information Management: Data-Driven Innovations Date: August 30/31, 2018 Location: Hamburg, Germany Link: http://www.bimdanube.eu/ws2/
Important dates: - Abstract Submission: Aug 3, 2018 - Confirmation for presentation: Aug 10, 2018 - Registration: free until Aug 20, 2018 (sponsored by BIMDANUBE project, see below) - Workshop: Aug 30/31, 2018
The workshop will gather interested professionals across Europe working in the information or medical domain, such as medical researchers, medical doctors and entrepreneurs building their business around biomedical ICT. The workshop is a continuation of the 1st workshop held in Feb. 2018 (http://bimdanube.eu/ws1/).
The goal of the second workshop will be to answer on the following questions:
* Use Cases: Experiences with information and knowledge management solutions actively used in the community * Limitations of current solutions and possible ways to overcome them * Practitioner's view: Important problems in biomedical information management that could be solved with new and recent advances from the fields of Machine Learning, Data Mining and Natural Language Processing * Educator's view: Information bottlenecks in teaching medical students and innovative ideas for solutions * Proposals for next generation biomedical information management * Artificial Intelligence in the Biomedical domain and in life sciences, including image/video, laboratory, EEG/MRT, -omics and text data * Stakeholder's perspectives: Practitioners, Administration, Insurances, Researchers, Pharmaceutical Industry, ...
We invite abstracts up to 250 words, indicating your preference for a presentation of 15 or 30 minutes.
The workshop will feature a series of long invited talks (see http://bimdanube.eu/ws2/ for the current list of speakers), participant's talks, moderated panel discussions and ample time for networking and exchange.
Background: Recently, information management as a field faced several challenges. On one hand, sophisticated technologies and standards were developed to support knowledge-based modeling, such as domain ontologies including UMLS, SNOMED CT, MeSH, Disease Ontology, and Gene Ontology and the Sematic Web description languages and infrastructures including RDF, OWL, SPARQL and others. On the other hand, however the current approaches face three major issues: (1) knowledge bottleneck: required resources for knowledge management such as domain ontologies are not available for many domains and languages; (2) the overall approach of knowledge management did not get widely spread due to the fact that it imposes a large burden on the user, such as annotation or expertise with complex tools like Protégé; (3) modeling entire domains as large as the medical domain with (English-oriented) knowledge resources does not meet the requirements of users, who are mostly specializing in a certain sub-field and also need to operate in their local language. Medical researchers have to process an enormous amount of literature – PubMed adds about half a million papers to its index each year. Literature search and reasoning is demanding, because of the need to revealing and maintaining many complex relationships between numerous sets of entities. In order to alleviate the efforts of biomedical research related to literature we seek a novel conception to information management, combining ontology-driven with bottom-up approaches.
Goals: The workshop is funded by the BIMDANUBE project (http://www.bimdanube.eu), which aims at building a network of researchers and medical professionals in the Danube states and across all Europe. While the main purpose is to get to know each other and to foster exchange, we also target a major grant application in the EU H2020 framework in 2019 and are actively looking for partners from research and industry.
Venue: The workshop will take place at the University of Hamburg in Hamburg, Germany. "University of Hamburg is the biggest research and education institution in Northern Germany and one of the most extensive universities in Germany. ...with affiliated institutes and research centers spread around the city state." [Wikipedia] Please also note that the workshop is co-located with the 13th International Conference on Availability, Reliability and Security (ARES, https://www.ares-conference.eu/conference-2018/) as well as the Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE, https://cd-make.net/).
Be part of this exciting opportunity! Contribute to the next generation of biomedical information management! Please find more information at http://www.bimdanube.eu/ws2/, register at http://www.bimdanube.eu/ws2/registration/, or submit your inquiries to Steffen Remus (<remus at informatik.uni-hamburg.de>). Looking forward to your participation.
Workshop organizers: * Chris Biemann, University of Hamburg, Germany * Andreas Holzinger, Medical University Graz and Vienna University of Technology, Austria * Ljiljana Majnarić, University of Osijek, Croatia * Svetla Boytcheva, Bulgarian Academy of Sciences, Bulgaria * Steffen Remus (local chair), University of Hamburg, Germany