This Week's The Hacker Within
- Speaker: R. Stuart Geiger
- Topic: Scraping Wikipedia Data
This is a weekly meeting for sharing skills and best practices for scientific computation. Based on The Hacker Within Scientific Computing Group from the University of Wisconsin–Madison, the UC Berkeley chapter uses this as a structured set of skill-sharing sessions for scientific software development (e.g., testing, data management, version control, literate programming, etc. ) The goal is to learn cool skills and incorporate these practices into our workflows. People from all scientific disciplines are welcome. This meeting would be a great venue for describing neat tips and tricks for efficiency, introducing new libraries, showing off useful features of a scientific code you're using, or bringing up a computational problem you're having.
Participating is really easy:
- First, you'll show up.
- At 4:00 p.m., there will be tutorial/discussion about a scientific computation topic.
- Next, there will be a time for a couple of lightning talks, which are five- to ten-minute blasts of information about a particular topic or question of interest to the group.
- Feel free to hang around and discuss your needs and current projects with other attendees.
To volunteer to give a talk, just let the listhost know by email at email@example.com.
R. Stuart Geiger
Former BIDS Ethnographer Stuart Geiger is now a faculty member at the University of California, San Diego, jointly appointed in the Department of Communication and the Halıcıoğlu Data Science Institute. At BIDS, as an ethnographer of science and technology, he studied the infrastructures and institutions that support the production of knowledge. He launched the Best Practices in Data Science discussion group in 2019, having been one of the original members of the MSDSE Data Science Studies Working Group. Previously, his work on Wikipedia focused on the community of volunteer editors who produce and maintain an open encyclopedia. He also studied distributed scientific research networks and projects, including the Long-Term Ecological Research Network and the Open Science Grid. In Wikipedia and scientific research, he studied topics including newcomer socialization, community governance, specialization and professionalization, quality control and verification, cooperation and conflict, the roles of support staff and technicians, and diversity and inclusion. And, as these communities are made possible through software systems, he studied how the design of software tools and systems intersect with all of these issues. He received an undergraduate degree at UT Austin, and an MA in Communication, Culture, and Technology at Georgetown University, where he began empirically studying communities using qualitative and ethnographic methods. As part of receiving his PhD from the UC Berkeley School of Information, he worked with anthropologists, sociologists, psychologists, historians, organizational and management scholars, designers, and computer scientists.