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!

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 modeling, 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.

Chen Chen is a data scientist, programmer, and consultant for ISR's Population Dynamics and Health Program. He specializes in survey methods (with a particular focus on survey statistics, sampling, and weighting), data management, and statistical computing, including large scale simulations of complex samples and statistical modeling using complex and longitudinal survey datasets. Chen is a high-level programmer who specializes in R, Python, and Stata, with a focus on computing in a Linux environment.