Past Events

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Lecture Series:

Citizen-based Monitoring for Peace & Security in the Era of Synthetic Media and Deepfakes

Satellites have been used since the 1950s for Earth observation, first by governments for reconnaissance missions shrouded in secrecy...

Lecture Series:

Show me the Data: From Data to Insights and Stories with Visualizations

Focusing on relational data, i.e., networks, this talk demonstrates how visualization support
the exploration and communication of complex data...

07.06. - 09.06.2023

HEIBRiDS Spring School 2023

Lecture Series:

Long term permafrost observations and the rapidly changing Arctic

Permafrost in the Arctic, which is warming more than four times as fast as the global average,
is thawing at an accelerating rate...

Lecture Series:

Dealing with data from connect cars: How do we ensure data integrity and traffic safety?

The amount of data available from the mobility sector is rapidly increasing thanks to onboard
sensors and vehicle connectivity...

Lecture Series:

SimRa: Safety in Bicycle Traffic

Increasing the modal share of bicycle traffic is a key mechanism for reducing emissions and solving traffic-related problems in urban areas...

Lecture Series:

Towards trustworthy computer vision models

Deepl learnng models are becoming ubiquitous in our daily lives...

Research Integrity

What distinguished good behaviour in science?

27.03. - 28.03.2023

Schloss Diedersdorf

HEIBRiDS Retreat 2023

Location: ECDF Wilhelmstrasse 67, 10117 Berlin Conference room, 1st floor

Lecture Series:

Learning of intelligent swarm behavior

A central challenge in both understanding and developing swarm intelligence is the relation between the behavior of a swarm of agents and its ecological niche.

Lecture Series:

Interdisciplinary Retina Research: Putting Deep Learning into Practice

The retina as a part of the central nervous system (CNS) can be easily accessed with non-invasive high resolution imaging techniques like optical coherence tomography (OCT) and is therefore considered a window to the brain...

Lecture Series:

Learning to Perceive and to Act – Disentangling Tales from (Structured) Latent Space

Unsupervised learning is experiencing a renaissance. Driven by an abundance of unlabelled data and the advent of deep generative models, machines are now able to synthesise complex images, videos and sounds...

Lecture Series:

Reconstructing brain sources and their interactions from M/EEG recordings

In this lecture we will introduce the M/EEG (magneto- and electroencephalography) inverse problem and present classical as well as modern solutions to it...

Lecture Series:

Data science and machine learning in Neuroscience

Like many fields in science, brain research is undergoing a data science revolution...

Lecture Series:

Directions in Interpretability

As machine learning algorithms are increasingly applied to high impact yet high risk tasks, such as medical diagnosis or autonomous driving, it is critical that researchers can explain how such algorithms arrived at their predictions...

Lecture Series:

MultiSector Dynamics: Advancing the Science of Complex Adaptive Human-Earth Systems

The field of MultiSector Dynamics (MSD) explores the dynamics and co-evolutionary pathways of human and Earth systems with a focus on critical goods, services, and amenities delivered to people through interdependent sectors...

BIMSB Seminar Room, 2nd floor, Hannoversche Str. 28

Lecture Series:

Processing of (Scientific) Data in the Age of Data Science

My talk addresses different aspects of Data Science to emphasize that Data Science comprises of more than machine learning (ML)...

Lecture Series:

Energy Status Data – Towards a Better Energy Footprint with Informatics Methods

The DFG-funded research-training group (RTG) on energy-status data does research on data-science methods that might help to arrive at better future energy systems and ultimately at a better energy footprint...

Lecture Series:

Dimension-reduction and data visualisation; applications and challenges in single-cell biology

The rapid advancement of single-cell technologies in the last decade has facilitated study of biological systems where collecting a homogenous population of cells was not possible due to technical or biological limitations, e.g., dynamical biological systems in which individual cells are not fully synchronous in their development through time...

Lecture Series:

Enterprise Data Landscapes: Data Lakes and Data Marketplaces

The digital transformation generates an increasing volume of heterogeneous data across the entire lifecycle of all kinds of products and services...

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