Women* in Science 2024 @ Faculty of Computer Science
The reason we celebrate this Day is to make sure it becomes not a story about exceptional women but a norm that girls belong and succeed in science and technology. – Anya Daneez Khan
These research departments of the University of Vienna are also participating in this year's joint campaign: The faculties of Earth Sciences, Geography and Astronomy, Chemistry, Life Sciences, Mathematics and Physics, as well as the Centre for Microbiology and Environmental Systems Science at the University of Vienna, the Max Perutz Labs and the Research Network Data Science @ Uni Vienna.
Laura Koesten
© Sebastian Rahs
Postdoc
... is looking at ways to improve human-data interaction by studying sensemaking with data and visualisations, data discovery and reuse, as well as ethical and collaborative aspects of data-centric work.
Franka Bause
© privat
Praedoc
... investigates scalable similarity measures for graphs.
Anna Beer
© privat
Postdoc
... researches in the field of data mining and develops methods for knowledge gain from data.
Lara Ost
© privat
Praedoc
... develops efficient algorithms for problems in data analysis with changing inputs. She is interested in applications of computing to problems in natural science.
Sophia Heck
© Fotostudio Wiegand
Praedoc
... focuses on the development and improvement of algorithms for various application areas, aiming to enhance their efficiency in practical use.
Renate Motschnig
© Werner Schröttner
University professor
... imparts and explores meaningful learning and future skills in the context of computer science.
Claudia Plant
© Barbara Mair
University professor and Head of subunit Data Mining and Machine Learning
... focuses on extracting knowledge from massive data.
» Projects, publications and teaching by Claudia Plant
Kathrin Hanauer
© privat
TT-Professor
... investigates the practical performance of algorithms compared to theoretical expectations or guarantees and explores methods to enhance their real-world applicability.
Regina Schuster
© privat
Praedoc
... investigate how data visualizations – for example, on the topic of climate change – are created, disseminated, and understood.
Katerina Schindlerova
© privat
(Hlavackova-Schindler) Senior Scientist
... develops methods of causal inference and causal discovery, as well as algorithms of machine learning and data mining.
» Projects, publications and teaching by Katerina Schindlerova
Further Projects and Resources
Women* in Science 2023 @ Faculty of Computer Science
(No) Walk in the Park - 125 Years of Women at the University of Vienna
Not only was there a significant period between the founding of the university and the admission of the first female students, but also partly between each individual step towards equality. Each additional win meant another hard fight. The timeline can be followed in the project (No) Walk in the Park - 125 Years of Women at the University of Vienna.
Speech by Anya Daneez Khan on the occasion of the 4th International Day of Women and Girls in Science
Anya Daneez Khan, who was ten years old at the time of her speech, shared her vision at the United Nations on the 4th International Day of Women and Girls in Science: “I do worry about girls in science and technology but even more about humans and artificial intelligence.” [Video]
Ada Lovelace – The first programmer
Ada Lovelace discovered the algorithm for the mathematician Charles Babbage's computing machine. Short feature in the ARTE series 'Geniale Frauen' [Video in German].
Informatica Feminale – Summerschool
The Informatica Feminale was established in 1997. It serves as a space for professional exchange and aims to achieve the sustainable professional integration of female experts in Informatics / Computer Science and ICT. The Informatica Feminale is a place for experimentation and intends to imply new impulses in Informatics (Computer Science).