Hope everyone is having a great summer! Check out our newsletter for opportunities at D-Lab and CDSS!
- D-Lab Summer Closure -
D-Lab is currently closed to the public
(virtual space, front desk, workshops, new consulting requests, and consulting drop-ins).
We plan to re-open our doors and begin providing services when fall semester begins in August 2021. Our re-opening date is still to be determined, but we will let you all know our plan as we get closer to early August. Our newsletter updates have changed over the summer to occasional updates as we have information to share.
The Statistics Department and D-Lab are offering an introductory short course on the statistical/data science software R on Saturday-Sunday, August 21-22. The short course will be a thorough introduction to working with data, basic statistical analysis/data science and graphics, and programming in R, with no prior knowledge assumed. Please see https://dlab.berkeley.edu/training/r-bootcamp-fall-2021 for more details including health precautions/requirements. Staffing permitting, the short course will have two tracks, allowing participants to choose the pace that is best for them. Attendance is free of charge.
Also note that if that time does not work for you or you're interested in other R training options, D-Lab offers very regular workshops on R at basic and intermediate levels. See dlab.berkeley.edu/training (but note workshops for the fall are not yet posted). In particular for those of you with no R or programming experience at all, you may find the pace of the D-Lab introductory R workshops to be better suited than this bootcamp.
- Job Opportunities at D-Lab -
D-Lab is hiring Graduate Students!
D-Lab is hiring UC Berkeley graduate students! Please see below for information about our open positions and fellowship program. We are holding an info session on Thursday, July 22 from 12pm-1pm for folks to learn more about D-Lab and hear from current D-Lab student employees. If you are interested in any of these positions, please apply here and join us for the info session. We are accepting applications for our open positions through Monday, July 19. Once we receive your application, we will follow up with an invite to the info session.
D-Lab Data Science Fellows Program: The program is designed to give outstanding UC Berkeley students and researchers the opportunity to advance their data science training within the D-Lab’s diverse and intellectually vibrant community. We offer participants a supportive mentorship and peer-learning environment in which they can apply their expertise and knowledge, gain professional teaching and leadership skills and connect with industry and public sector partners.
D-Lab Consultants: D-Lab Consultants work with UC Berkeley students, staff, faculty to support data science & computational social science research. We welcome graduate students with data science related skill sets from all domains. Specifically, we are looking for folks experienced in the following topic areas: statistics, R, Python, cyberinfrastructure, and qualitative methods using one of the following, MaxQDA, NVivo, ATLAS.ti, or Dedoose.
D-Lab Workshop Instructors: D-Lab workshop instructors teach introductory, advanced beginner, and intermediate workshops. D-Lab provides daily workshops on topics including but not limited to: R, Python, and Stata programming, maps and spatial analysis in GIS, survey design in Qualtrics, qualitative data analysis in MaxQDA, data visualization in Tableau, Excel for data analysis, and the latest techniques for text analysis and machine learning in R and Python. Please see here for a list of our previously offered workshops.
If you feel inspired to help fellow researchers and students learn about and work on research tools, methods & techniques, we're interested in hearing from you. D-Lab is an open, inclusive culture that values diversity and open exchange. We will let you develop leadership in your particular area while working collaboratively with other students and staff.
If you are interested in any of these positions, please apply here and join us for the info session on Thursday, July 22 from 12pm-1pm.
D-Lab is hiring a Project Analyst staff position!
D-Lab is seeking a Project Analyst to join our team as full-time staff. The Project Analyst will plan, coordinate, and oversee workshops and consulting services, and will develop protocol and procedures for implementation of D-Lab service offerings. They will participate and/or lead key projects, including planning of academic and special events, and outreach and orientation to academic units. They will lead and direct a wide variety of projects and follows through with the D-Lab representation on various campus committees and events. Additionally, the Project Analyst will provide analyses for complex budget, financial, academic, data, systems, and resource projects working directly with all levels of managers.
If you are interested, click here to apply! The first application review date is July 22, 2021.
- CDSS Opportunities -
D-Lab / DSUS Fellowship Program Application
UC Berkeley's D-Lab and Data Science Undergraduate Studies (DSUS) is offering paid Fellowships for graduate students from diverse domain areas and with a data science background. D-Lab/DSUS Fellows spend a semester mentoring and coordinating undergraduate students as they engage with real-world data science projects. $4,5000 stipend is offered per semester, please see full details here.
The deadline to apply is August 1, 2021, but applications will be reviewed on a rolling basis until filled. If you are interested you can apply here.
If you or your organization has a data-focused project that would benefit from the support of a team of students, please submit your application by August 1st. Please note: this opportunity is free! Check out some recent projects here, and some sample submissions here. Contact firstname.lastname@example.org with any questions.
GSI positions for Human Contexts and Ethics of Data
(History C184D/ Data C104)
The Department of History is hiring at least four more GSIs for Fall 2021 for our C184D course, cross-listed with Data Science C104, "Human Contexts and Ethics of Data." All positions are 50% time and qualify for partial fee remission. For this course, GSIs need not necessarily have a background in History.
To apply for the History/Data Science course, please complete this Google form. Additional information about the course and instructors is available at the top of the form. We will begin reviewing applications starting June 21 and will continue until all positions are filled.
Reader Positions for UC Berkeley School of Information
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.