Andreas Baumann, Department of European and Comparative Literature and Language Studies, will talk about "That's the key! – Modeling the effects of non-conformist behavior...
In his dissertation, Michael studied mathematical optimisation algorithms for machine learning, which he uses for example to classify Armenian manuscripts and breast cancer...
As an academic philosopher, Eugenia Stamboliev explores links between technological agency and subject agency – mostly around AI and care robots – to challenge concepts such...
AIROW – Artificial Intelligence in Rowing is a cooperation project of the Research Network Data Science @ Uni Vienna and the Institute of Sports Science with the Austrian...
Using interpretable machine learning techniques, Sebastian discovers hidden stellar groups and sets out to create Atlas Galaxia Proxima, a thorough catalogue revealing the...
For the academic year 2023/24, the application for admission to the Master programmes Business Analytics and Data Science is open from 1 March to 17 April 2023
Benjamin Roth, Research Group Data Mining and Machine Learning & Department of European and Comparative Literature and Language Studies, will talk about "Evaluation and...
Anastasia Ailamaki (Professor for Computer and Communication Sciences at the EPFL – École Polytechnique Fédérale de Lausanne) will talk about just-in-time (JIT) systems and...
Ursula Schmidt-Erfurth, Department of Ophthalmology and Optometry of the Medical University of Vienna, will give a talk on Friday, 18 November 2022 @ 12:00 CET
The Research Network “Data Science @ Uni Vienna” invites applications for a doctoral position in the field of Machine Learning with applications for training load management...
David W. Hogg (Center for Cosmology and Particle Physics, New York University) will talk about "Is Machine Learning Good or Bad for Science?" on 7 July 2022 @ 16:30 CEST
The Digital iLAB is a new programme of the University of Vienna coordinated by the Research Network Data Science and the DLE Research Services and Career Development. It...
The Department of Business Decisions and Analytics (working group Prof. Jan Ehmke) is offering the position of a research assistent (Praedoc level) in the FFG-funded project...
For the academic year 2022/23, the application for admission to the Master programmes Business Analytics and Data Science is open from 1 March to 2 May 2022
Thilo Hofmann (Department of Environmental Geosciences, Centre for Microbiology and Environmental Systems Science): Why might we need better tools to understand environmental...
Nikolaus Forgó (Department of Innovation and Digitalisation in Law): Access to Data under Covid-19 Conditions in Austria: A Preliminary Legal Assessment
Live Session and Open Lecture presenting the Master programmes Business Analytics, Data Science and Digital Humanities – join online and get to know the main staff!
Our DS talks continue online via Zoom – Sylvia Kritzinger (Department of Government): Exploring possibilities for dealing with survey data: data science and political science...
For the academic year 2021/22, the application for admission to the Master programmes Business Analytics and Data Science is open from 1 March to 3 May 2021.
In the FWF project "Logistics Decision Support in the Pandemic" Karl F. Dörner is researching the logistical challenges of COVID-19 tests and innovative delivery methods such...
The Corona crisis has shown that logistics chains are sometimes fragile, leading to bottlenecks. An FWF acute project at the University of Vienna is investigating how...
The research platform Data Science @ Uni Vienna is currently promoting three new master programmes. Admission in Business Analytics and Data Science for the Academic Year...
Prof. Martina Pippal from the department of Art History will give a talk about the advantages and risks of global digitalization in the context of Art History on Friday 24th...
From 23 - 24 November the University of Vienna, the Saint Anselm College (USA) and the University of St. Andrews (UK) are holding a conference on Data & Ethics.
The Vienna Doctoral School in Physics and the Erwin Schrödinger International Institute for Mathematics and Physics are organising a winter school from 10 - 20 February.
Interested in learning something new? Apply for our Data Science Summer School until July 31st 2019 and build your skills in "Deep Learning & Data Science".
We are very happy to announce a visit and lecture from Prof. Duan Li from the City University of Hong Kong. The lecture takes place on June 19th, 3.00 pm.
The Data Science Initiative at University of Vienna is announcing their second Data Science Hackathon in cooperation with BAWAG Group. You can register now!
Data Science is currently a highly discussed topic. Michael Sedlmayer is a mathematician. He details his research on ancient manuscripts and his view on data science.
Elaine Chew had a talk with "Der Standard" in the context of our lecture series about what interdisciplinary approaches. Chew is a pianist as well as a mathematician.
We are happy that the CEE-YOU website from OeAD features our Data Science Summer School 2018 as success story for international cooperations on their website.
The research platform "Data Science @ Uni Vienna" continues its lecture series, to which we would like to cordially invite you. Andrew Gelman will give a talk titled...
The Data Science Initiative is a young and enthusiastic student group. They are organizing two workshops this semester "practical data science" and an "introduction to deep...
The Roundtable on "Data-Driven-Transformation using the example of BAWAG P.S.K.“ takes place on Wednesday, October 10th 2018, 18:30 PM at Oskar-Morgenstern Platz 1.
Our summer school participants, Christine Ning and Daniel Lang, wrote a blog post for the University of Vienna blog about their experience and what they learned.
Before his talk at our kickoff event David Donoho was interviewed by "Der Standard" about Data Science and the impact of changes in our communication behavior on society.
Interested in learning something new? Apply for our Data Science Summer School until 23. July 2018 and build your skills in "Deep Learning & Visual Data Analysis"....
