• Format: Hybrid

• Date: 7 and 8 July 2025 (two days)

• Location: University of Montenegro in Cetinje, Montenegro

• Organizing Committee: Milana Grbic, Jeanine Houwing-Duistermaat, Nevena Ilieva-Litova, Vladimir Jacimovic, Andigoni Malousi

• Local Organizing Committee: Vladimir Jacimovic,  Anton Gjokaj, Nevena Miailovic, Goran Popivoda (University of Montenegro)

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Network science is a broad research area at the intersection of mathematics, statistics, computer science, bioinformatics, and social sciences. Biological networks present a longstanding challenge for researchers due to their complexity and extremely subtle interplay between their topology, functionality and robustness. Central topics of the workshop include:
 
    • Relations between network topology and functionality
    • Information flow in bionetworks
    • Identification of key nodes and elements
    • Integration of multi-source data for network construction
    • Merging multiple network datasets
    • Estimation methods from high-dimensional data
    • Interpreting biological network structures
    • Machine learning and statistical modeling of network data
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One of central challenges in modern biology is integrating various types of data, including large synthetic datasets, small datasets from molecular simulations, and sparse (often noisy) experimental data. While experimental data may be limited and biased, it can still contain valuable new information. This workshop will explore methods for combining these diverse data sources and extracting meaningful predictions regarding molecular interactions from noisy and biased data. Relevant techniques include dynamic modelling, digital signal processing, and statistical integration.
The aim of the workshop is to enhance insights through network visualization and improve efficiency through data integration. The event will feature four keynote lectures alongside selected presentations from participants. Ample time will be dedicated to discussions with the goal of fostering collaborations on these topics. Depending on the number of participants, the poster session may be necessary.

This small workshop will provide a platform for interactions between computer scientists, statisticians, and bio-informaticians seeking to deepen their expertise and exchange knowledge, as well as theoretical biologists and dynamicists looking to shape new methodologies. Early career researchers are encouraged to participate.

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Keynote speakers

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Grant Period Goals Addressed:
GAPG1 Convergence, integration, and testing of theoretical models including simulations and ML data GAPG 3 Exploration of potential applications GAPG 4 Integration, training, and promotion of specific collaborations in the modelling of genomic information GAPG 6 Promotion of Scientific Excellence and Cross-field Interaction across the Action GAPG 7 Identification of complementary and synergic international partners

 

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Expected Outputs:

• Knowledge exchange and networking opportunities

• Establishment of new research collaborations

• Abstract book documenting key presentations