Showing posts from April, 2021

2021-04-13: Trip report: 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment

The 1st International Workshop on Scientific Knowledge (Sci-K) was co-located with the 2021 Web Conference . This is a one-day workshop on April 13, 2021. Because of Covid-19, the workshop was held online. This is a There are 11 papers presented in this workshop. I had a paper co-authored with Sarah M. Rajitmajer (assistant professor, Pennsylvania State University), Dr. C. Lee Giles (professor, Pennsylvania State University), and Sree Sai Teja Lanka (MS, graduated from Pennsylvania State University in 2021). Below, I briefly summarize the keynote given by Staša Milojević , and our paper titled " Extraction and Evaluation of Statistical Information from Social and Behavioral Science Papers ". Keynote: Capturing tectonic shifts in contemporary science Dr. Milojević  is the associate professor of informatics at the Indiana University Bloomington . Much of what she presented on the workshop was in the broad domain of science of science, elucidating the dynamics of science as

2021-04-05: Data Visualization Fall 2020 Projects

(Previous semester Information Visualization highlights posts: Fall 2019 , Fall 2017 , Spring 2017 , Spring 2016 , Spring 2015 , Spring/Fall 2013 , Fall 2012 , Fall 2011 ) Fall 2020 was the second offering of CS 625: Data Visualization , a graduate-level visualization course that is part of the CS Masters program and is a core course in the Data Science and Analytics MS program . I had originally designed this as a flipped+hybrid course (described in an earlier blog post ), so teaching this during COVID-times was not too much different than normal.  We use Tamara Munzner's Visualization Analysis and Design textbook and focus on basic visualization design principles and on how to ask good questions. Students were allowed to use whatever tool they wished, but I emphasized clear design no matter what tool was used. Over the course of two assignments ( HW7 , HW8 ), students developed questions about real-world data, developed a draft visualization, and then refined the visualiza