Get ready for the Fall Semester with the return of
D-Lab workshops, consulting, and virtual front desk!
- D-Lab virtual space will be open soon! -
D-Lab will re-open our virtual front desk space to the public in the coming weeks. We will continue to offer all of our services (workshops, consulting, front desk) virtually over Zoom for the foreseeable future.
Our physical space will remain closed to the public as we re-imagine how to best make use of our physical space on the 3rd floor of the social sciences building. In the meantime, you'll be able to contact us via the virtual front desk.
We hope everyone has a great rest of the summer! We look forward to seeing you (virtually) soon! If you have questions, please email: dlab-frontdesk@berkeley.edu
We hope our new website will help you to better navigate our content and access our resources, as it follows best practices for web accessibility and is built on the campus-standard OpenBerkeley platform.
If you have any questions, comments, or discover problems, typos, or broken links,
we welcome your feedback via this form.
This four-part, interactive workshop series is your complete introduction to programming R 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.
This is an 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.
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.
Part 1: Running Python, Jupyter Notebooks, variable assignment, data types conversion, working with strings, built-in functions Part 2: Lists, loops, conditional statements, functions, scope Part 3: Dictionaries, importing files and libraries, debugging error messages, comprehensions Part 4: We will apply the skills learned during previous sessions to a real world social science example.
- Featured Event -
Democratizing Our Data August 26, 2021 | 10:00 - 11:00AM
Please join us on August 26 from 10am-11am for “Democratizing Our Data,” a lecture by Julia Lane, Professor at the NYU Wagner Graduate School of Public Service, at the NYU Center for Urban Science and Progress, and an NYU Provostial Fellow for Innovation Analytics. Co-sponsored by Social Science Matrix and the UC Berkeley D-Lab, this event will be presented in-person on the UC Berkeley campus, and will also be streamed via Zoom. Professor Lane will be introduced by Natasha Nicolai, Chief Data Strategist with the California Department of Social Services, and alumna of the Goldman School of Public Policy.
*Please note: we may adjust this event based on
the current Covid-19 regulations (masking, virtual-only, etc).
Graduate Student Domain Consultants
Get paid to develop your skills in research data and computing!
Research IT is hiring several Graduate Student Domain Consultants for flexible, 10% to 25% (4-10 hours/week) appointments. We customize these positions based on your skills and interests and to work with your other campus commitments.
These are flexible, 10% to 25% (4-10 hours/week) appointments for graduate students at $25-$30 / hour with opportunities for advancement and flexible schedules
We are seeking diverse candidates in a broad range of scholarly disciplines with a desire to learn more about research data and computing
Join a diverse community of IT experts, researchers, and students with mentoring and professional development support
Domain Consultants help to advance UC Berkeley research by extending the reach and impact of data and research computing infrastructure, both on campus and at the national level
Research IT partners with D-Lab and Data Peers consulting to work together to provide research consulting support across the campus.
Undergraduate Lab Mentor
Apply to be an undergraduate research mentee for the Cognitive Science and Psychology division of the Undergraduate Lab @Berkeley!
Undergraduate Lab is a student-run organization on campus dedicated to providing access to research opportunities for undergraduate students. As a mentor, you will be guiding other undergraduates (mainly freshmen and sophomores) through a year-long research project within the field of cognitive science, psychology, and neuroscience. You will help undergraduates who are not in research work through the scientific process by aiding them in writing a literature review, project proposal, running through a study, creating a scientific poster, and writing a final research paper. In addition to working with your group, you will work with and receive guidance from our graduate student advisors. All project groups will present at our symposium at the end of the year and be published through eScholarship.
See past publications from us: https://escholarship.org/uc/cogscipsych_ulab
Summer 2021, Fall 2021, and Spring 2022
10 hours a week
Salary range: $20.46-$24.46/hour rate
The 21st Century California School Leadership Academy (21CSLA) State Center seeks two part-time Graduate Student Researchers (.25 FTE each) to assist with the analysis of assessment and behavior data from big data sources in education such as massive open online courses (e.g., Berkeley), school performance and demographic data collected by the Department of Education, and historical enrollment data. This is a position in the nascent field of Learning Analytics research.
GSI positions for EECS Social Justice Course (CS 194)
The Department of Electrical Engineering and Computer Sciences (EECS) is hiring three GSIs for CS 194, "EECS for All: Social Justice in EECS." They are looking for GSIs across a range of disciplinary expertise. The positions are for up to 20 hours a week (up to a 50% GSI appointment) with standard fee remissions. The course will be taught in person.
To apply for the EECS course, please complete this Google form.
Review of applications will begin on June 1.
Agriculture Program Manager for CEGA
The Center for Effective Global Action (CEGA) at UC Berkeley seeks a full-time Program Manager to lead the Center’s agriculture research program. The program builds a rigorous, policy-relevant evidence base about how agricultural technologies, information, financial services, and integration into markets can improve the lives of smallholder farmers who make up a majority of the world’s poorest people.
Online application is required. Please visit http://jobs.berkeley.edu and search for Job ID# 17779. Applications will be reviewed on a rolling basis.
Senior Program Associate for CEGA
The Center for Effective Global Action (CEGA) seeks a full-time (Senior) Program Associate to coordinate our Financial Inclusion sector research initiatives. The Financial Inclusion sector builds a rigorous, policy-relevant evidence base about how tools for managing money – from mobile payments to digital credit and insurance – can be made more inclusive and effective to help low-income households save, transact, and grow their businesses.
Online application is required. Please visithttp://jobs.berkeley.edu and search for Job ID# 18322. Applications will be reviewed on a rolling basis.
- Resources -
TDM Studio for Text Data Mining
The Library recently began a subscription to TDM Studio (ProQuest). TDM Studio offers a virtual environment in which you can run text data mining (TDM) analyses on large datasets curated from library-subscribed ProQuest content, including selected current and historical newspapers, dissertations and theses, scholarly articles, and primary source material. Some coding experience (e.g., Python) and familiarity with Jupyter notebooks would be necessary to run your analyses. First request an account in order to get access to an environment.
Another source for building your own text corpus is Gale's Digital Scholar Lab. The Digital Scholar Lab differs from TDM Studio in that you can download content directly for your own use. Digital Scholar Lab also has browser-based tools to quickly visualize basic analyses. You don't need to request an account to use the DSL -- just go to the website and enjoy.
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!
