- D-Lab virtual space is closed for the winter break -
D-Lab virtual space is currently closed to the public. During our closure, we are not offering drop-in consulting, hosting workshops via zoom, or staffing our virtual front desk.
Faculty who need support over the winter break are welcome to email us at: dlab-frontdesk@berkeley.edu
- Re-opening in January 2022 -
We will re-open to the public in January starting with our workshop intensives from Tuesday, January 11 - Friday, January 14
Registration for workshop intensives is now open! See below for details and registration links.
- Blog Post -
Working with State-of-the-Art NLP Models: A Friendly Introduction to Hugging Face
We often read about the many new advancements being made in the field of Natural Language Processing (NLP). Each month, leading organizations release new models that seem like magic to us, such as models that can write it’s own code based on user prompts or are able to help answer our queries when we use Google Search. Large AI research groups like OpenAI and Google spend many years and pour millions of dollars into research to perfect these models. These sophisticated models can contain up to billions of parameters and can require many hours and expensive computing infrastructure to train. When all is said and done, these models feel out of reach and similar models impossible to attain. However, with just a little work, you too can learn to use and apply these state-of-the-art models to the problems you are trying to solve....read more.
- D-Lab Workshop Scheduling for Spring 2022 -
D-Lab is in the process of planning workshops for the Spring 2022 semester.
We would like to get a sense of how we could better serve the UC Berkeley campus and have greater participation among Berkeley students, faculty, staff, and affiliates.
Please share with us how our workshop schedule could better serve you by filling out this short survey (1-2 mins to complete)
- Upcoming D-Lab January intensives -
Our workshop intensives will take place from Tuesday, January 11, 2022 to Friday, January 14, 2022.
R Fundamentals: Parts 1-4
Jan 11, 12, 13, 14 | 10am-1pm | Register for Zoom link
This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.
Python Fundamentals: Parts 1-4
Jan 11, 12, 13, 14 | 10am-1pm | Register for Zoom link
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.
Stata Fundamentals: Parts 1-3
Jan 11, 12, 13 | 10am-1pm | Register for Zoom link
This workshop is a three-part introductory series that will teach you Stata from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the Stata software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.
The Division of Computing, Data Science, and Society’s Data Science Discovery Program is accepting project partner applications for Spring 2022. If you are interested in getting talented Berkeley data science students to work on your data science research project, please apply today! The Data Science Discovery Program is open to all UC Berkeley faculty, graduate students, and postdocs, along with non-profits, government agencies, and UC Berkeley-affiliated startups.
Since 2015, the Data Science Discovery Program has connected thousands of undergraduate data scientists with hands-on, team-based opportunities in hundreds of cutting-edge data-centered research projects with various organizations at UC Berkeley and beyond.
In addition to helping recruit student researchers, Discovery Program can provide free cloud computing credits and mentorship from graduate students with data science expertise. The Discovery Program also offers project management training for students and additional consultations for projects that are attempting to get off the ground.
We're accepting applications through January 1st and the recruitment timeline along with other information can be found on our website. The application can be accessed here.
The Division of Arts and Humanities at the University of California, Berkeley seeks applications for a pool of outstanding lecturers to teach Digital Humanities courses should an opening arise during the academic year, as well as, lecturers to teach in the Summer Minor in the Digital Humanities.
Salary range: Starting at $56,945 Percent time: Positions range from 33% to 100% each semester. Summer Sessions Lecturer appointments are part time and weighed at 50%. Anticipated start: Positions usually start at the beginning of the semester (in mid-January for Spring Semester; in mid-August for Fall Semester). Summer appointments begin in late May and run into early August.
GSR positions for the Risk Resilience Lab
Learn more and apply here
2022 Data Science for Social Good Summer Fellowship
Apply here and read more
Hiring Pre-doctoral Fellows at the
Comprehensive Income Dataset Project
Apply here and read more
Post-Doctoral Researcher Position in Mental Health Services Research and Data Science | Population Health Sciences
The Department of Population Health Sciences at Weill Cornell Medicine is inviting applications for a post-doctoral researcher position in mental health services research and data science. You can read more and apply here.
Support D-Lab
Join our community of donors by making a gift to D-Lab. Contributions of any size will support free, inclusive workshops and resources for the UC Berkeley community. Give today!
