Data Science Open Lab

Learn the ins and outs of data science and get connected with experts, collaborators and compelling projects! 

Students, faculty and staff, of all levels and disciplines, are welcome to attend all-virtual open lab workshops offered by the ASU Library's Unit for Data Science and Analytics. Open Lab is an opportunity to network, seek mentors and projects, gain skills and work on real-world problems using data science.

Join us for this all-virtual event, occuring on Wednesdays, during the spring 2021 semester.

Agent Base Modeling
Wednesday, March 10
10–11 a.m.

This presentation will explore an emerging phenomenon, agent-based modeling (ABM), as it is a powerful simulation modeling technique applied in data science.

Join us on Zoom. 

Data Quality and Ephemerality in Social Media
Wednesday, March 24
10–11 a.m.

We use social media to communicate with friends and family, discuss politics, find information about COVID-19 and even to document the recent riots at the U.S. Capitol. Social media is also quite ephemeral, as we also delete our own social media content, problematic posts are removed by platforms and platforms go out of business. These patterns make the process of collecting and understanding social media data quite complex. Relatively little is known about how social media datasets change when observed at different points over time or how collection methods may impact the quality data at the core of our research projects. During this presentation we will discuss issues of data quality and change.

Join us on Zoom. 

Topological Data Analysis
Wednesday, April 7
10–11 a.m.

Topological Data Analysis (TDA) combines techniques from geometry and topology to analyze the qualitative properties of data. By studying the shapes of the data with these mathematical tools, TDA can be used to describe point cloud data by its underlying skeleton and can help to reduce dimensionality and noise, in order to analyze the underlying structure. No prior knowledge is needed.

Join us on Zoom.

A Personal Journey in the Broad and Fuzzy World of Data Science
Wednesday, April 14
10–11 a.m.

A personal journey of how the presenter became involved in data science and what it feels like to work as a machine learning engineer/researcher in the industry. This will be an interactive session so please feel free to ask questions.

Join us on Zoom.