Aktuelles & Termine

GMDS & CEN-IBS 2020

Veranstaltungsort: Berlin

65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS) including the 66th Biometric Colloquium of the German Region

For the first time, we organize a joint conference of the GMDS & CEN-IBS 2020 which takes place in Berlin, 6 -11 September 2020: www.gmds-cen-2020

Our slogan “Bringing Data to Life” aims at bringing together the different disciplines of data science and to discuss a variety of central, innovative key topics (e.g. educating the next generation - data scientists of tomorrow, communicating methods, evidence and uncertainty, new data sources for evidence generation, deep learning & artificial intelligence, reproducible research, reporting and data sharing). We expect about 1000 international participants.

We have just announced the “Call for Tutorials”. We kindly ask you, to submit yourself suggestions for tutorials which fit to our key topics or to contact people who could contribute a tutorial. The call should be forwarded to any potentially interested person. Deadline for submission is January, the 15th 2019.


Key Topics
- Educating the next generation - data scientists of tomorrow
- Communicating methods, evidence and uncertainty
- Innovative study designs for clinical trials
- Early phase clinical trials and dose finding
- Meta-analysis and generalized evidence synthesis
- Challenges of small and big data for clinical trials and cohorts
- Causal inference and modelling in epidemiology and clinical trials
- Precision medicine, biomarker assessment and subgroup analysis
- Survival and event history analysis
- Statistical methods in agriculture, forestry and ecology
- New data sources for evidence generation
- High-dimensional data and single cell data
- Deep learning & artificial intelligence
- New perspectives of the digitalized health system
- Chances and limitations of health services research data
- From data to information, from information to knowledge
- Regulatory statistics and health technology assessment
- Reproducible research, reporting and data sharing