Welcome back, we hope you're all experiencing a great start to the new semester! Take a moment to check out our upcoming workshops and featured blog!

- Blog of the Week -

Imposter Syndrome in Data Science
By Katherine Wolf, D-Lab Data Science Fellow

In the competitive academic environments of modern times, the existence of Imposter Syndrome is no foreign concept. Check out this week's newsletter to hear more about Katherine Wolf's own experience with Imposter Syndrome and how she handles it as a graduate student.

To read more about this topic view this week's blog here!

- Featured Events -

Measuring Belief in Fake News Online
A Lecture by Joshua A. Tucker
Professor of Politics, New York University


January 29, 2021, 12:00pm-1:00pm Virtual Event. Register for Zoom Link.
How well can ordinary people identify the veracity of news in real time? In this lecture, Professor Joshua Tucker — Professor of Politics, affiliated Professor of Russian and Slavic Studies, and affiliated Professor of Data Science at New York University — will report on his recent research, which involved disseminating diverse news articles to both ordinary citizens and professional fact checkers and analyzing the individual-level characteristics of those likely to incorrectly identify false news stories as true, the results of interventions to attempt to reduce the prevalence of this behavior, and the prospects for crowdsourcing to serve as a viable means for identifying false news stories in real time. He will also report preliminary findings from a replication of this study focusing exclusively on news about COVID-19.

Register to Attend

Computational Social Science Forum

Digital Health Social Justice:
a framework based on our studies in
low-income and underserved communities

Date: Monday, February 1, 2021
Time: 12:00-1:30 PM Pacific Time
Meeting ID: 923 5948 1973

Speakers: Adrian Aguilera, Berkeley School of Social Welfare, Berkeley Digital Health Equity and Access Lab (dHEAL), Latinx Center of Excellence in Behavioral Health; and Caroline Figueroa, Berkeley School of Social Welfare 

Abstract:  Though digital health–the use of apps, text messaging, and online interventions– can help people lead healthier lives, its rapid growth can also increase health inequities. Unequal representation or exclusion of groups, security and privacy vulnerabilities and power imbalances in design and ownership are examples of ethical and social issues that currently receive scarce attention. At the Digital Health Equity and Access Lab, we work on cutting-edge mobile health interventions for vulnerable populations. We will discuss our text-messaging studies for mental health support in low-income English and Spanish speakers. And we will talk about our new app using texting and machine learning to help people become more physically active. Finally, we will discuss a Digital Health Social Justice Toolkit, in collaboration with the Berkeley D-lab. This toolkit will provide guidelines, case studies, and resources for design, testing, and digital health evaluation from a social justice perspective.

The Computational Social Science Forum is an informal setting for the interdisciplinary exchange of ideas and scholarship at the intersection of social science and data science. We welcome social scientists researchers with interests in data science methods and tools, and data scientists with applications or interests in public policy, social, behavioral, and health sciences. This Forum is organized as part of the Computational Social Science Training Program. Meetings are currently held virtually on Mondays at 12:10-1:30 PM Pacific Time. Please contact for more information.

- Featured Jobs-

Public Education Specialist

The Division of Computing, Data Science and Society, Data Science Undergraduate Studies is hiring a Modules Coordinator - Public Education Specialist. The Public Education Specialist position involves designing, conducting, promoting, and supporting various public educational programs such as Modules:  Data Made Accessible to Many and Data Scholars. The incumbent is responsible for researching and assessing educational needs and interests for targeted public segments and develops programs, materials, technology, and learning approaches accordingly.

This position is available to internal applicants only.

To learn more about the position and the application process, please view here!

Graduate Student Assistant 4 Position

Evaluating Undergraduate Teaching and Learning Outcomes and Achievement as part of the Academic Program Review (APR) process.

This Student Assistant 4 (graduate student) position is a joint appointment through the Division of Undergraduate Education (VCUE) and Division of Academic Planning (VPAP). It will reside in the VCUE Immediate Office as part of the VCUE Data Team, reporting to the VCUE Institutional Research Analyst. The Student Assistant will form part of the team that provides support to departments undergoing an Academic Program Review (APR).  The APR process is an essential element in Berkeley’s institutional accreditation by the Western Association of Schools and Colleges (WASC). 

Each semester, three to five departments initiate their APR process. The Student Assistant will: 1) work with those departments interested in consultations on student learning outcomes (SLO) as part of the departmental self-study. Including setting and mapping SLOs, selecting instruments best suited to evaluating student achievement of program-level learning outcomes; 2) create a flexible, reproducible process for evaluations of student learning outcomes.


We are looking for a graduate student who can commit to eight (8) hours per week for the spring semester of 2021. Hourly salary range $24.46 - $29.49; salary will be determined based on Departmental guidelines and policies. This appointment is not eligible for fee remission.

How to Apply:

Please submit a brief cover letter explaining your interest in the position, your resume and contact details for at least one departmental reference to Audrey Thomas at, subject line: APR Student Assistant 4 application

Applications received by Wednesday, February 10 will be given full consideration.

- Upcoming Workshops -

Geospatial Data in QGIS: Parts 1-2
Feb 1, 3 | 1:00 PM to 4:00 PM | Register for Zoom Link

This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic methods for processing spatial data, which are the building blocks of spatial analysis workflows. Coordinate reference systems and map projections will also be introduced.
R Fundamentals: Parts 1-4 
Feb 1, 3, 8 | 9:00 AM  to 12:00 PM | Register for Zoom Link

Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills for free at our R workshops!The D-Lab's R Fundamentals 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, import, export, manipulate, and visualize data, and learn to write shorthand functions of your code.

Python Fundamentals: Parts 1-4
Feb 1, 3, 8, 10 | 2:00 PM to 5:00 PM | 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
Feb 2, 4, 9 | 12:00 PM to 3:00 PM | Register for Zoom Link

This three-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 the basic principles of programming and data manipulation to a real-world social science application. Part 1 will focus on introducing the material while parts 2-3 will focus on data analysis in Stata as well as programming in Stata.

Intermediate MAXQDA
Feb 9 | 2:00 PM to 5:00 PM | Register for Zoom Link

Qualitative Data Analysis (QDA) software is used to organize and structure data, codes, memos, and other components of a qualitative study, as well as support engagement in analysis. This workshop is for qualitative researchers, new and established, interested in learning about MAXQDA, a software for which D-Lab provides substantive support. Assuming no prior knowledge in MAXQDA, this workshop will introduce participants to the website where the software can be downloaded and numerous training materials can be accessed.

Geospatial Data in R: Parts 1-3
Feb 8, 10, 12 | 1:00 PM to 4:00 PM | Register for Zoom Link

Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. 

Part I: Getting started with spatial data objects
Part 2: Geoprocessing and analysis
Part 3: Working with raster data

To see a calendar view of our upcoming February 2021 Workshops, view here!

- Upcoming Events -

WiDS: Women in Data Science Berkeley Conference

March 8-12 | Register for Zoom

WiDS Berkeley (see last year's agenda, 2021 coming soon) is a satellite event associated with the Women in Data Science conference at Stanford.

As part of this year's conference, we want to highlight the exceptional data science work completed by students at UC Berkeley. On Wednesday, March 10 from 11 am -12 pm, we will host a session of lightning talks (5-10 mins) that showcase completed and/or in-progress data science projects led by UC Berkeley students.

Conference organizers will review proposal submissions for 1) appropriateness and relevance of the topic to the field of data science, 2) impact in terms of practice and/or recommendations, 3) evidence of ethical research practice, and 4) organization & clarity.

Deadline for submission: January 31, 2021

To submit your proposal submission please visit here!


Love Data Week, February 8 - 12, 2021

Celebrate Love Data Week by joining us for a series of events from February 8 through February 12, 2021. This year, the UC campuses are partnering to celebrate this nationwide campaign designed to raise awareness and build community around research data. Tune in for sessions that explore topics related to data ethics, data security, and much more! All members of the UC community are invited to attend. Click here to see the schedule for all UC events and register.

Webinar on Restricted Use Health Data, February 11, 2021

The National Center for Health Statistics (NCHS) provides researchers access to restricted-use, confidential, national survey microdata at their Research Data Centers (NCHS RDCs) and at the 30 Federal Statistical Research Data Centers (FSRDCs) spread across the country, including the Berkeley FSRDC. On Feb 11 from 10-11:30am the Stanford Institute for Research in the Social Sciences (IRiSS) is hosting a webinar with the CDC to discuss NCHS survey datasets and how to access them. Click here to learn more and register. For info on accessing NCHS and other restricted use federal administrative datasets here at Berkeley, see the Berkeley FSRDC web page.

Cal Data Visualization Network (CDVN)

The CDVN works to give staff opportunities to network, share ideas, and grow their skill sets. To that end, we collaborate with other, like-minded communities of practice on campus to share learning opportunities.

Here at the CDVN, we are dedicated to learning good data analysis and visualization practices, platform-agnostic, always open to learning, welcome to all staff, and dedicated to sharing knowledge in the efforts of empowering our staff.

To get a glimpse of the CDVN in action, check out one of their peer-led social learning groups!

Tableau Mastermind Meeting:  Tuesday, Feb 9th | 11 am | Zoom Link

To learn more about the network and for instructions on signing up for their mailing list and calendar info, please visit here!

- Undergraduate Student Opportunities -
- Graduate Student Opportunities -

ReThink Media Research and Analysis Internship

ReThink media seeks a graduate student with R or Python programming skills to assist our Research & Analysis Team. This internship will provide an opportunity to develop your data wrangling and analysis skills while helping inform communications strategies for advocacy groups working on a range of social justice issues.

ReThink Media’s Research & Analysis Team conducts message testing and public opinion research, tracks public polling, analyzes media coverage and social media conversations about our issues, and manages data about our programs’ impact.

ReThink Media’s paid internship program provides talented undergraduate and graduate students (and recent students) with hands-on experience in the field of issue advocacy communications and applied research and analysis.

To learn more about the position and how to apply view here!

Social Science Matrix is seeking an advanced social science graduate student to be a program assistant.

Program Assistant position available at Social Science Matrix

Social Science Matrix is a cross-disciplinary research unit in the College of  Letters and Science within the Social Sciences Division. We are an incubator for early stage, interdisciplinary research and we work to promote  social science research on campus. Critical to this work are the public- and campus-facing events we organize, which include lecture series, workshops, colloquia, conferences, book talks, and panel discussions. Our events seek to draw on the breadth and depth of research expertise within and beyond the Social Science Division, examining important  topics and ideas that are reforming the contours of social science research today. This Spring semester all  programming will be online only and the program assistant will work remotely.


We seek a graduate student to help develop, organize and publicize some of our public events and programs,including our annual call for proposals for  research teams.

The position will be a 50% position, starting immediately with an end date in June 2021.

Please apply with a resume/CV and two short writing samples that summarize some kind of social science research.

Questions and submissions should be directed to

Paid Graduate Positions at the D-Lab

Become a D-Lab Consultant!

D-Lab is looking for graduate students familiar with a range of qualitative, quantitative, computational, and data methods, tools, languages, and software to join our consulting team on an hourly basis. You determine how many hours and when to work, allowing you to easily fit this into your current schedule. If you're interested in developing your skills by helping others through consulting, then please fill out this survey.
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!

Copyright © 2018 D-Lab, Social Sciences Data Laboratory, All rights reserved.

You are receiving this email because you signed up for the mailing list at the D-Lab website

Our mailing address is:
D-Lab, Social Sciences Data Laboratory
University of California, Berkeley
356 Barrows Hall
Berkeley, CA 94720-3030

Want to change how you receive these emails?
You can update your preferences or unsubscribe from this list.
Share Share
Tweet Tweet
Forward Forward
Share Share