MILA Seminar
The MILA seminar is a biweekly forum to stimulate scientific discourse. The thematic areas focus on, but not limited to:
- Guidelines, standards and roadmaps for sustainable data management, e.g. FAIR data management in biomedical research, data quality assessment in EHR data reuse
- Graph database concept and methods for linking heterogeneous data sources
- Solutions for efficient data retrieval, or similarity measures and concepts for data provenance
Most seminars are open to the public and takes place in the BigBlueButton of the University Greifswald. We cordially invite everyone who is interested in the seminar topics.
Seminar slot: every other week Monday 13:30 - 14.30, if not stated otherwise in the table below
Contact and coordination: Ilya Mazein
MILA Seminars
| Date | Topic | Speaker |
|---|---|---|
| 02.04.2025 | Why Matthew studies Mathematics, but Bianca accounts for Biases: Implicit Egotism among German Academics Find more information here | Heiko Dunkel |
| 24.03.2025 | From Data to Decision: Addressing the Hurdles in Developing Predictive Models in Healthcare Find more information here | Anne-Christin Hauschild |
10.03.2025 | HERALD: A domain-specific query language for longitudinal health Find more information here | Lena Baum |
18.02.2025 | Cutting-edge Research with Clinical Data: Observations from Industry Collaborations in the German Data Landscape | Martin Preusse |
| 16.12.2024 | Knowledge Graph Representation of Multicenter Studies Find more information here | Nora Ghesie |
| 18.11.2024 | Advancing FAIR Principles: Making Metadata Machine-Readable for Enhanced Population Health Data Sharing Find more information here | David Amadi |
| 21.10.2024 | The human side of AI - A holistic approach on clinical implementation in real world settings Find more information here | Thomas Karopka |
| 21.08.2024 | Computational Models of Learning and Memory Find more information here | Melanie Stefan |
| 13.06.2024 | Matching of real-world medication data based on a graph-based representation of an IDMP conformant medication model Find more information here | Markus Budeus |
| 16.05.2024 | Graph2VR: Exploring Linked Data in Virtual Reality Find more information here | Alexander Kellmann |
| 18.04.2024 | Using FHIR in Biomedical Informatics Find more information here | Dr. Florian Auer |
| 08.02.2024 | ciTIzen-centric DAta pLatform (TIDAL): Sharing distributed personal data in a privacy-preserving manner for health research Find more information here | Dr. Chang Sung |
| 30.11.2023 | Health Data as a Strategic Asset | Dr. Luis Marco Ruiz |
| 16.11.2023 | Graph-based Similarity of Clinical Studies | Lea Gütebier |
| 02.11.2023 | Natural Language Processing in the clinical Narrative Find more information here | Luise Modersohn |
| 29.08.2023 | MDM-MDR-OpenEDC: a toolset to FAIRify medical case report form metadata.Hörsaal Nord find more information here | Dr. Christian Niklas |
| 29.06.2023 | Knowledge graph representation of clinical studies Find more information here | Julia Demmel and Angela Dedie |
| 13.06.2023 | Quantitative analysis of drug effects at the whole-body level: a case study for glucose metabolism in malaria patients Find more information here. | Prof. Jacky Snoep (Stellenbosch University) |
| 20.02.2023 | Should you get a PET? Data curation and publication in a digital health context. Find more information here. | Dr. Emma Tonkin |
| 12.12.2022 | Using Neo4j for biochemical insights Find more information here. | Tom Nijhof |
| 19.09.2022 | Supporting FAIRness maturation with the FAIR Dataset Maturity model Find more information here. | Dr. Danielle Welter |
| 20.06.2022 | FAIR data with CEDAR Find more information here. | Mwesigwa Ezra |
| 16.05.2022 | Unlock Insights for medical Research with Knowledge Graphs Find more information here. | Angela Dedié, Justus Taeger |
| 02.05.2022 | A Primer on Data Visualization Find more information here. | Hans-Jörg Schulz |
| 07.03.2022 | Data Quality Assessment for International Studies based on real world data Find more information here. | Ines Reinecke, M.Sc. and Dr. Franziska Bathelt |
| 24.01.2022 | FAIRification of health-related data in the Swiss Personalized Health Network Find more information here. ▶ watch the recording | Dr. Sabine Österle (Team Lead Data Interoperability) and Dr. Vasundra Touré (Scientific Coordinator) |
| 13.12.2021 | Analyzing and Evaluating Annotations in Systems Biology Models Find more information here. ▶ watch the recording | Woosub Shin |
| 01.11.2021 | some GMDS interesting presentations in on the 66th GMDS Annual Meeting / 12th TMF Annual Congress Online conference (September 26-30, 2021) | Dr. Atinkut Zeleke |
| 20.09.2021 | FAIR Data and TRUST-worthy Repositories: A synergistic approach for biomedical research data management. ▶ watch the recording | Dr. Vivek Navale |
| 05.07.2021 | FAIR data management and reusability | Prof. Dr. Oya Beyan |
| 14.06.2021 | Deployment and relevance of FAIR Data Stewardship in the context of the COVID-19 Pandemic | Prof Mirjam Van Reisen |
| 21.04.2021 | COVID-19 Graph: A concept and implementation for integrating simulation studies with COVID-related research data in a graph database | Lea Gütebier |
| 07.04.2021 | SSA-German Project: Implementing FAIR health research data in sub-saharan Africa | Dr. Atinkut Zeleke |
| 24.03.2021 | COVID-19 data visualisation project | Christian Wollmann |
| 24.02.2021 | Why do all my patients arrive by helicopter? Accessing routine records with the AKTIN Emergency Department Data Registry | Jonas Bienzeisler |
| 13.01.2021 | Introduction to graph databases: concepts and tools | Ron Henkel |
NEWS
- MILA-Seminar - Heiko Dunkel on Implicit Egotism among German Academics
- MILA Seminar - Anne-Christin Hauschild on Addressing the Hurdles in Developing Predictive Models in Healthcare
- MILA Seminar - Lena Baum on HERALD, a domain-specific query language for longitudinal health
- Mila @ SWAT4HCLS - Meet us in Barcelona at this years SWAT4HCLS (24. - 27. Feb).
- InkE @ Love Data Week - How the UMG works to reduce the health data gap in its routine research data