Scientific Data Service
In March, Bielefeld University will host the second "Woche der Forschungskompetenzen". Organised by the Competence Centre for Research Data (a cooperation between Bielefeld University Library and BITS) and the Interdisciplinary Research on Conflict and Violence (IKG), the week from 4 to 8 March is dedicated to skills that are currently given less attention in university curricula. Topics include rights to texts and data, privacy and ethics, and scholarly publishing. The week's lectures, most of which will be held in German, are aimed at all empirical researchers at Bielefeld University, but especially at "young academics".
The seminar "Open Minds for Open Science - An Interdisciplinary Introduction to Open Science" will take place again in the coming summer term 2024. Open Science is becoming more and more important as an interdisciplinary topic, even at the undergraduate level. More and more, Open Science is also in the focus of politics and is politically desired. The seminar is addressed to all students who are interested in Open Science and aspire to a scientific career.[Weiterlesen]
Talk on "Uncovering hidden influences: Impact of omitted covariates on treatment estimates in randomized and propensity score matched studies"
As part of the ZeSt Colloquium, Alexandra Strobel from the Martin Luther University Halle-Wittenberg will give a talk on Tuesday 30 January 2024 on the topic: Uncovering Hidden Influences: "Uncovering hidden influences: Impact of omitted covariates on treatment estimates in randomized and propensity score matched studies". The talk starts at 12 noon in room W9-109.
The talk starts at 12 noon in room W9-109.
Talk on "Extending a-priori simulation practice to assess and maximize replicability in psychological research"
As part of the ZeSt Colloquium, Dr. Denny Kerkhoff from Bielefeld University will give a talk on "Extending a-priori simulation practice to assess and maximize replicability in psychological research". The talk will take place on Tuesday 16 January from 12:00 to 13:00 in room W9-109.
Cancelled: Talk on "Signal detection of adverse drug reactions: The Bayesian Power generalized Weibull Shape Parameter test"
The talk "Signal detection of adverse drug reactions: The Bayesian Power" on 19 December, part of the ZeSt Colloquium, has to be cancelled due to illness.
Talk on "Signal detection of adverse drug reactions: The Bayesian Power generalized Weibull Shape Parameter test"
On 19 December, a talk entitled "Signal detection of adverse drug reactions: The Bayesian Power generalised Weibull Shape Parameter test" will be held as part of the ZeSt Colloquium. The talk will be given by Julia Dyck from the University of Bielefeld. The talk will start at 12 noon in room W9-109.
Professor Dr Dominik Liebl from the Institute of Finance and Statistics at the University of Bonn will give a talk at the ZeSt Colloquium on "Fast and Fair Simultaneous Confidence Bands for Functional Parameters". The lecture will take place on 5 December in room W9-109 starting at 12 noon.
Dr Joachim Schnurbus from the Department of Computational Statistics and Mathematics at the University of Passau will give a lecture on 7 November via Zoom on the topic "Heeding the Call of Science: What Leads PhD Graduates to Pursue an Academic Career?". The lecture, which is part of the ZeSt Colloquium, starts at 12 noon and runs until 1 pm.
As part of the ZeSt Colloquium, Jan-Ole Koslik from Bielefeld University will give a talk on "Mitigating consequences of the Markov property". The talk will take place on Tuesday 24th October from 12:00 to 13:00 in room W9-109. In his talk, Jan-Ole Koslik will examine whether the common criticism of so-called hidden Markov models, that they represent real processes too simply, also applies to more complex inhomogeneous models. For this purpose, important properties of inhomogeneous Markov chains will be derived.
Prof. Dr. Simon Kühne from the Faculty of Sociology at Bielefeld University will give a talk on gender stereotypes on Instagram on 27 June. In room W9-109 at Bielefeld University, he will talk about social media as a source of behavioural data and the extent to which images on Instagram can provide an insightful perspective as an alternative to textual data. The talk, which is part of the ZeSt Colloquium, will focus on a case study that uses social media images, particularly self-portraits, as a tool to explore gender roles, representation and stereotypes.
SDS supports the Euro PhD School Data Science Meets Combinatorial Optimisation With the support of the Scientific Data Service, the Euro PhD School Data Science Meets Combinatorial Optimisation will take place at the University Bielefeld from the 4th to the 8th of September. The Euro PhD School is concerned with algorithms for combinatorial optimisation, which in various ways have aspects of data science, as well as combinatorial optimisation problems. Each day will focus on a current topic, which will be explored in depth by lecturers, supported by post-docs, through theory, lectures and exercises. The programme oft the PhD School also includes an invited lecture by Alexander von Humboldt Professor Yachou Jin. Applications and registrations are possible until 31 July via the PhD School website.
Karsten Reichold from the Department of Statistics at the Technical University of Dortmund will give a talk on "Smooth Transition Cointegrating Regressions: Modified Nonlinear Least Squares Estimation and Inference" at the ZeSt Colloquium. The talk will take place on Tuesday, 13 June 2023 from 12:00 to 13:00 at the University of Bielefeld, room W9-109.
As part of the ZeSt Colloquium Prof. Dr. Göran Kauermann from the Institute of Statistics at the Ludwig-Maximilians-Universität Munich will give his guest lecture "Categorizing the World into Local Climate Zones - Towards Quantifying Labeling Uncertainty for Machine Learning Models" at the University of Bielefeld on Tuesday, 30th of May. He will give an insight into the work on modelling labelling uncertainty in the context of remote sensing and satellite image classification. The talk will be focused on the construction of a multinomial mixed model based on the assumption that there is no ambiguity in the image classes, but apparently only in the experts' opinions about them.