Lab presentations:
Sascha Diefenbacher • Lutz Greb • Christoph Schnörr

Rocket science:
Sascha Diefenbacher
Forecasting Generative Amplification

Andreas Albers (Greb lab)
Machine Learning for Molecular Property Prediction: Revisiting Empirical Chemistry with Big Data

Jonas Cassel (Schnörr lab)
Vector Bundle Data Models and Geometric Deep Learning
For more see the abstract_file: Abstract-File

In his talk, Felix Boes will first introduce models of rumour spreading and sybil attack detection. Both research areas examine attacks on trust-based networks, such as online social networks (OSNs). The first area studies the spread and containment of misinformation in a static network, whilst the second aims to detect attacks that have already been carried out by exploiting structural properties or using meta-information.
The main part of the talk will introduce well-known and new structure-based modelling and recognition approaches, which also make use of tools from topological data analysis. In addition to the quality of available datasets, current open questions will be discussed.

In the academic world, clear, concise, and well-written texts play an important role in convincing journal editors and conference organisers to accept a paper for review and publication, or to invite a researcher to present at a conference. This workshop provides PhD students with strategies to write short texts efficiently and effectively. It enables participants to organise ideas and structure texts effectively, to present their own and other researchers‘ findings and opinions appropriately, and to use correct terminology and vocabulary.

During the workshop, participants work with their own texts as well as with examples from their own disciplines that they bring along and consider to be particularly well written. They discuss features of good scientific papers and are equipped to use adequate language in different genres and for different audiences. In addition, they receive peer feedback on their own drafts. All exercises empower them to produce clearer, and more correct, concise, and reader-oriented papers.

The two-day workshop covers the following topics:
• taking inventory: participants‘ strengths and challenges in writing scientific papers in English
• a brief introduction to research and writing processes
• using text analysis to become a better writer
• reporting findings, ideas, and opinions professionally and adequately
• making yourself understood: principles of clear and concise writing
• structuring ideas, organising texts: transitions, connectives, & co.
• working effectively with co-authors and constructive text feedback
• useful online and offline resources

(After the workshop, participants have the opportunity to sign up for an individual writing coaching, or text feedback session. In this session, they can ask for individual feedback on an extract of their written work, or get deeper into issues from the workshop in a one-on-one setting.)