News
Tutor*innen für Data Mining (DM4BA) gesucht
Liebe Studierende, wir suchen für das Wintersemester 2023 noch nach 2 Tutor*innen für DM4BA. Wenn ihr also Ahnung von Data Mining und Machine Learning habt und euch das vorstellen könnt, dann meldet euch bei miro.schleicher@ovgu.de oder bei maik.buettner@ovgu.de.
Participate in our online experiment!
In cooperation with University Medicine Greifswald (Germany) and University of L’Aquila (Italy), we conduct an online experiment on medical annotation tasks.
Join under https://limesurvey.ovgu.de/index.php/888616?lang=en,
The survey is anonymous and helps us in our research. Thanks and have fun!
Colloquium - Potentials and Limitations of observational population-based studies
July 13, 2023 (15:00 cet in room G29-412 and zoom)
Potentials and Limitations of observational population-based studies
Dr. Till Ittermann, (Head of the Statistical Method Unit, Institute for Community Medicine, University Medicine Greifswald)
There is a broad range of medical research questions which can be addressed by population-based studies including the description of prevalence and incidence of diseases and risk factors, the definition of reference intervals for clinical biomarkers, the investigation of associations between potential (genetical) risk factors and diseases, the calculation and validation of prediction models for certain diseases, and data mining analyses. Limitations, which has to be taken into account, derive from selection bias, confounding bias and information bias. This talk will give a summary on the potentials and limitations of population-based studies using examples from the Study of Health in Pomerania.
Join Zoom Meeting:
https://ovgu.zoom.us/j/66194528351
Meeting ID: 661 9452 8351
Passcode: 832878
DM4BA-SoSo23 25.05.2023 Keine Präsenzübung
Am 25.05.2023 findet aufgrund von Krankheit keine Präsenzübung für DM4BA statt. Die Erarbeitung des Übungsblattes 4 erfolgt durch die Studierenden selbst. Alle weiteren Hinweise sind in Moodle zu finden.
Symposium Productive Teaming
Current technological development enables highly complex, intelligent, adaptable and autonomous cyber-engineered systems that can support, complement and surpass human cognitive abilities and skills in solving the new challenges of tomorrow. This constant further development of increasingly powerful and intelligent technologies is currently leading to equally new and complex challenges in dynamic production systems, which must be mastered quickly and consistently. A central challenge in the field of production systems in the future will be to solve highly complex problems with countless parameters that far exceed the capacities of gap and conventional human teams. Therefore, in order to solve these problems and to increase productivity, it is absolutely necessary to form teams of people and production systems that are specialized in such “teaming” between people and production systems. "Productive Teaming" is a joint research initiative of the TU Chemnitz, the TU Ilmenau and the OVGU Magdeburg, which has developed from the already existing research and innovation network "CHIM". The aim of this initiative is to use overarching themes to better understand the teaming between human and artificial agents and to find an answer to the following research question, among others: Can intelligent systems be cognitively augmented in such a way that they are able to use the skills and Dynamically anticipate the needs of the team partner within this process?
More informations about the research initiative you can find here: CHIM.
TU Chemnitz, 28.03.2023
(Author: Marlies Facius)
Overview of Team Projects 2023
Please read the general overview in detail and apply with the expected information directly to Prof. Spiliopoulou.
Here you can find the:
Presentation of Team Project Topics 2023
Topics for Team Projects will be presented on the 19th of April in G29 K058 at 11am