Coderspaces at ISR Fall 2019
Wednesday, 11/20/2019, 10:00am to 11:30am. ARCHIVED EVENT
Do you write code for research or class?
Do you sometimes get stuck?
Or, do you want to learn how to code but don't know where to start?
Or, do you just prefer to work in a more social environment? Writing code, or "programming," can be a fun but also challenging and lonely enterprise. Hosted by members of the ISR 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 code, computational social science, data science, engineering, etc. We seek to build a casual and inclusive environment where everyone is welcome regardless of their skill or level of expertise. To participate, bring a laptop and some coding work, or just come and hang out, socialize, and assist others.
During the Fall 2019 semester, the following opportunities are available:
Tuesdays 10-11:30A*, ISR Thompson 1450, with PDHP Data Scientist Paul Schulz
Paul Schulz is a senior consulting statistician and data scientist for ISR's Population Dynamics and Health Program. He specializes in statistical methods and computing, including hypothesis testing, data analysis and modelling, sampling (including weight creation and adjustment), and power calculation), as well as the use of secure computing enclaves (SRCVDI, Likert cluster, and Flux/Great Lakes). Paul writes code in Stata and SAS for general purpose desktop computing, and R and Python for selected applications, such as data visualization and web scraping/automation, among other uses.
Wednesdays 9:30-10:30AM, ISR Thompson 6080, with SRC Research Assistant Professor Erin Ware
Dr. Ware is a self-taught HPC user and excited to host a weekly CoderSpace again! She is an Assistant Professor of Research in the Population, Neurodevelopment, and Genetics group at ISR. Her training has been in genetic epidemiology, public health, and statistics using SAS (local), R (server), Linux (on FLUX, MBNI, and other personal servers), batch scripting (SGE, PBS, Slurm). Dr. Ware has taught SAS (data management and statistical modeling) and introductory statistics using R. She is experienced in teaching high performance computing to individuals with limited programming background. This fall semester, she is also teaching SIADS502: math methods for data science for the online master's of data science degree program through the School of Information.
Thursdays 2:30-4PM, ISR Atrium/1450, with ISR Program Manager Jule Krüger
Dr. Krüger is the ISR program manager for big data and data science, based within the Center for Political Studies. She has more than 10 years of experience in processing, analyzing and interpreting data for social science research. An expert on data generating processes, triangulating multiple databases, and expanding methodology for researching difficult to observe populations, Dr. Krüger has proficient knowledge in computer programming, statistical analysis and scientific methodology. Using a combination of R, Python, Markdown, Make, bash, LaTeX and version control, she is experienced in automating research workflows for scalable, auditable and reproducible analysis. In this CoderSpace, the primary focus is on the Python programming language, but coders working in other languages are equally welcome to attend.