About the Network
B-IDDE is a Berlin-based interdisciplinary network connecting researchers working on infectious disease dynamics, epidemiological modelling, data science, phylodynamics, and policy-relevant outbreak analysis.
B-IDDE brings together researchers across Berlin with expertise and / or interest in infectious disease modelling, data analysis, and outbreak analytics. We are currently a group of more than 60 members including from Charite - Universitätsmedizin Berlin, the World Health Organisation's Hub for Pandemic and Epidemic Intelligence, the Robert Koch Institute, the Max Planck Institute for Infection Biology, the Technische Universität Berlin, the Freie Universität Berlin and the Humboldt University of Berlin.
The network is open to all researchers working on infectious disease dynamics in Berlin, including those from academia, public health institutions, and other relevant organizations. We welcome members with a wide range of expertise, including epidemiological modelling, data science, phylodynamics, and policy-relevant outbreak analysis.
The main activity of the network is monthly meetings, which consist of a training session followed by a seminar. The training sessions cover a range research skills needed in infectious disease dynamics. The seminars feature presentations from members of the network as well as regular invited speakers on current research and policy-relevant topics in the field.
B-IDDE is ECTS accredited. Please contact the secretariat for more information on how to earn ECTS credits by participating in B-IDDE events.
Upcoming Events
Introduction to Phylogenetic inference
(Matej Kritznar)
(i) Automating the extraction of linelist and contact data from Ebola outbreak narratives using LLMs
(Billy Quilty)
(ii) Behavior change and infection induced immunity led to the decline of the 2022 Mpox outbreak in
Berlin
(Nils Gubela)
The WHO Pandemic Hub
A hitchhiker's guide to vibe coding in IDD
(Billy Quilty)
tbc
tbc
tbc
Matthew Shepherd
tbc
Past Events
Introduction to RShiny
(Hugo Sourbrier)
Beyond Hype: The Real Promise of AI in Infectious Disease
(Samir Bhatt)
Charité - Universitätsmedizin Berlin
ODIN2 for model fitting
(Julia Mayer)
The epidemiology of poliomyelitis outbreaks and how modelling can support prevention and response
(Kathleen O'Reilly)
Charite - Universitätsmedizin Berlin
Introduction to MCMC
(Ayaka Monoi)
The role of modelling in the Danish COVID-19 response
(Lone Simonsen)
The WHO Pandemic Hub
Epiverse for Outbreak Analyses
(Carmen Tamayo Cuartero)
(i) Nowcast modelling of severe acute respiratory infections
(Felix Günther)
(ii) Data collection of the health-related quality of life (HRQoL) and social mixing using contact
surveys
(Francisco Pozo Martin and Mathilde Grimée)
Robert Koch Institute
Docker
(Matej Kritznar)
(i) Hybrid ABM-ODE modelling
(Inan Bostanci)
(ii) Estimating the population-level impact of pneumococcal conjugate vaccines
(Anabelle Wong)
Charité - Universitätsmedizin Berlin
IgG and Correlates of Protection for the Pneumococcus: A 25th anniversary re-evaluation.
(David
Goldblatt)
Charité - Universitätsmedizin Berlin
Contact
If you wish to join the network please contact the B-IDDE secretariat