UW Data Science Seminar: Winter Incubator


4:30 pm – 5:20 pm


Please join us for a UW Data Science Seminar on Wednesday, April 10th from 4:30 to 5:20 p.m. PST. The seminar will feature two projects from Jihyeon Bae and Hauke Schulz, who participated in our 2024 Data Science Incubator program at the eScience Institute.

2024 Spring Quarter seminars will be held in PAA A118 – campus map


Illuminating the role of cold-pools in structuring shallow convection

Abstract: In order to develop a better parameterization of these clouds in our climate models, we need to improve our understanding on how these different patterns of cloudiness form. Previous studies suggest that precipitation drastically influences these patterns, in particular through the generation of so-called cold pools. These cold pools (marked in red in the satellite image) that are areas of cold air and form due to the evaporation of precipitation are able to redistribute clouds by suppressing them within the cold pool and generating new convection at their edges. The identification of these cold pools in satellite observations will provide valuable information to better understand the formation of different cloud patterns and ultimately lead to an improved parameterization of shallow convection.

What do the leaders say? Analysis of the United Nations General Debate Corpus

Abstract: In the first stage, we pose a testable hypothesis: “How do democracies and autocracies frame the principle of sovereignty differently?” Sovereignty is the most fundamental legal principle in the realm of global governance, developed to guarantee legally equal status among states and respect authority over territories. However, authoritarian states have invoked the sovereignty principle, framing it as a free pass to enact any policies domestically. We aim to determine if there is any systematic difference in rhetorical usage between the two types of regimes, using text analysis models. We use pre-trained static and dynamic models like GloVe and BERT to generate word-embeddings for each document.In the next stage, we analyze not only what the leaders say, but how they speak by employing computational linguistics models. Our goal is to unpack the preferences of authoritarian state leaders by mapping UNGD data to psychological markers. Linguistic Inquiry and Word Count (LIWC) generates dictionary-based measures of constructs that tap into linguistic styles. Using simple regression and random forest model, our prediction model hit 75% accuracy level of predicting regime type using linguistic features. This project is expected to contribute to the timely discussion on the growing political clout of authoritarian regimes.

The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.


The 2023-2024 seminars will be held in person, and are free and open to the public.