Presented By: Center for Political Studies - Institute for Social Research
CoderSpace with Yuki Shiraito and Jule Krüger
Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Or, do you seek a social environment shared with fellow programmers? Writing code, or “programming,” can be a fun but also challenging and lonely enterprise. Hosted by members of the U-M community, our CoderSpaces are there for you to meet other coders, so you can connect and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data science, statistics, social science method, engineering, etc., be they students, staff, or faculty. In our CoderSpaces, we seek to build a casual, productive and inclusive environment where everyone is welcome regardless of their skill or level of expertise, to share experiences and knowledge, assist each other in data-intensive projects, and enjoy peer-programming opportunities. We hope that participants will actively help each other as able. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others. Our hosts look forward to hacking with you!
Dr. Shiraito is a Research Faculty with the Center for Political Studies and an Assistant Professor in the Political Science Department. He is available to assist with a variety of topics that include Bayesian statistics, parallel computing in R, OpenMP and Rcpp, web scraping using Python, working with the University’s high performance computing clusters (Great Lakes and Cavium), and other computational methods.
Dr. Krüger is the ISR Program Manager for Big Data and Data Science, based within the Center for Political Studies at the Institute for Social Research. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research, and automating workflows for scalable, auditable and reproducible analysis. Dr. Krüger can assist with R, Python, Markdown, Make, bash, LaTeX programming, and version control in git.
Dr. Shiraito is a Research Faculty with the Center for Political Studies and an Assistant Professor in the Political Science Department. He is available to assist with a variety of topics that include Bayesian statistics, parallel computing in R, OpenMP and Rcpp, web scraping using Python, working with the University’s high performance computing clusters (Great Lakes and Cavium), and other computational methods.
Dr. Krüger is the ISR Program Manager for Big Data and Data Science, based within the Center for Political Studies at the Institute for Social Research. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research, and automating workflows for scalable, auditable and reproducible analysis. Dr. Krüger can assist with R, Python, Markdown, Make, bash, LaTeX programming, and version control in git.
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