Recent & Upcoming Talks

I am a firm believer in paying knowledge forward and bridging disciplines. In my talks, I address audiences from multiple fields and non-academic communities as often as possible.

Below is a selection of past and upcoming talks – mostly including slides, code, and recordings (if available).

2021

Getting the most out of text - Using supervised and unsupervised approaches in NLP

Text data provides an oasis of information for both researchers and non-researchers alike to explore. Natural Language Processing (NLP) methods help make sense of this difficult data type. The talk and code give you a smooth introduction to the quanteda package. I will also showcase how to quickly visualize your text data and cover both supervised and unsupervised approaches in NLP. As part of the code demo, we will use text data from the UN as a working example to give you first insights into the structure of text data and how to work with it. If you want to see the code that we are using during the workshop in action, it’s also deployed here.
Getting the most out of text - Using supervised and unsupervised approaches in NLP

2020

Taking text data to the next level - Using supervised and unsupervised approaches in NLP

Text data provides an oasis of information for both researchers and non-researchers alike to explore. Natural Language Processing (NLP) methods help make sense of this difficult data type, which is written text. The talk will give you a smooth introduction to the quanteda package. I will also showcase how to quickly visualize your text data and cover both supervised and unsupervised approaches in NLP. As part of a code demo, we will use text data from the UN as a working example to give you first insights into the structure of text data and how to work with it. If you want to see the code that we are using during the workshop in action, it’s also deployed here.
Taking text data to the next level - Using supervised and unsupervised approaches in NLP

PaCSS and PolNet 2020

As part of the PaCSS and PolNet 2020, I presented a co-authored project (with Dennis Hammerschmidt) about how to measure emotions a the United Nations General Debate using video data and computer vision. The project was also awarded the CDSS Young Scholar Award 2020.

Women in Data Science 2020

I was invited to present my research and work in data science at Women in Data Science 2020, a global initiative to inspire and educate data scientists. The event was facilitated in collaboration with Stanford University, SAP Next-Gen, and the International Program in Survey and Data Science.
Women in Data Science 2020