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

D-Lab Fall Semester workshops will begin the week of September 7th and registration will open soon, so keep an eye on our events calendar and next week’s newsletter!

Our August workshops currently listed on the website are full, however you can still sign up on the waitlist in case a spot opens up. If you are on the waitlist we will also email you when we post our new workshops so you'll have an opportunity to register sooner.

Democratizing Our Data
August 26, 2021 | 10:00 AM - 11:00 AM | Register here

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. 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.

Co-sponsored by Social Science Matrix and the UC Berkeley D-Lab, this hybrid event will be presented in-person at the Social Science Matrix, 820 Social Sciences Building, on the UC Berkeley campus and will also be streamed via Zoom. 

Register here!

*Please note: masks will be required for the in-person event and we may adjust this event based on
the current Covid-19 regulations.
 

Reader Positions for UC Berkeley School of Information

Info 206A. Introduction to Programming and Computation and Info 206B. Introduction to Data Structures and Analytics
50% (20 hours per week) — three positions shared across both courses. 206A & B are half-semester courses in the first and second half of the semester, respectively.

Info 290M. Lean/Agile Product Management
25% (10 hours per week)

Please contact Professor Bamman at dbamman@berkeley.edu or apply here.

Fall 2021 Discovery Program

Do you want to work on revolutionizing precision medicine with machine learning? Or to be part of an effort to eradicate world hunger? Then, we are thrilled to announce the opening of this semester’s Data Science Discovery application! The Data Science Discovery program connects undergraduates with hands-on, team-based opportunities to contribute to cutting-edge data research projects with on and off-campus partners - our partner cohort has included the National Park Service, The Economist, UCSF, American Heart Association, BART, and many, many more! If you want to work on research projects that will have an impact on the world around you, submit your application by August 22nd. Check out descriptions and expectations for this semester’s projects here. 

Prerequisites: Data 8 or equivalent
Application deadline: August 22nd, 11:59 PM PT
Next Steps: Project Partners will reach out to students to schedule interviews after August 23rd and make offers by September 3rd
Academic Credit: If you accept an offer with a Discovery project you will be invited to enroll in a section of Data 198 (one unit is available for every 3 hours of work you do). More details on receiving credit will come after the application deadline.
Questions: ds-discovery@berkeley.edu

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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

Please email your cover letter and CV to: research-it@berkeley.edu

Research IT partners with D-Lab and Data Peers consulting to work together to provide research consulting support across the campus.

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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

Apply here

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New 21CSLA State Center GSR positions

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.

For more information, click here.

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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.

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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.

For more information, visit the Berkeley Library