The D-Lab team hopes you're all having a great February! Take a moment to check out our weekly blog and workshops.
- Blog Post -


Analyzing the Bay Area Commute Network with Geopandas and Networkx

By Chun Ho Chow

Hi everyone! I'm one of the D-Lab Data Science Fellows that joined the D-Lab this year. I'm in my second semester of the MCP/MS (City Planning / Transportation Engineering) program. 

One of my projects has been to look into the commuting patterns of the Bay Area. I'm hoping that through research we will be able to divide the Bay Area into service areas for transit agencies that make more sense than the current ones.

To read more about my research check out the full blog post here!

- Featured Event -

The Hiring Process from the Other Side
March 1 | Virtual Event | Register for Zoom Link

Career Preparation Beyond the Academy for
Humanities and Social Science Graduate Students

If you are a grad student in the humanities and social sciences interested in a future position in government, non-profits, or the private sector, this panel is for you! As current and future job seekers, we are no strangers to the application process. However, many of us are also curious about the other side of the hiring process, especially for humanities and social science PhDs

We have invited hiring and recruiting professionals from diverse workplace backgrounds to share their insights on hiring advanced degree holders like you. This panel is especially for grad students in the humanities and social sciences but is open to all grad students. Join the Career Center and GradPro for the upcoming panel to learn more about how job application candidates are evaluated and selected.

- Upcoming Working Group -

Computational Text Analysis:
Learning in, from, and with Taxonomies

Feb 19 | 2:00 PM to 3:00 PM | Register for Zoom Link

In many common NLP and other machine learning tasks, labels come from taxonomies, that is sets organized into hierarchical tree-like relational structures. Taxonomy formalizes semantic constraints that can be leveraged to introduce structural or "soft" inductive bias in machine learning models. They can also be used to verify machine intelligence by assessing certain common-sense semantic relations, beyond commonly used analogy relations (as described in Word2Vec studies, Mikolov et al., 2013). In this talk, Dima Lituiev Sr Machine Learning Scientist from Bakar Computational Health Sciences Institute at UCSF, will review definitions of taxonomies, highlight works on graph based and on representation (embedding) based approaches to taxonomy learning, and touch upon several applications to biomedical domain.

- Upcoming Workshops -

Text Analysis Fundamentals In Python: Parts 2-3
Feb 17, 19 | 2:00 PM to 5:00 PM | Register for Zoom Link

Part 2:
This hands-on workshop builds on part 1 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.

Part 3:
In this workshop, we will cover the most common CTA task: supervised classification. Using the Python library scikit-learn, we will implement Logistic Regression and Random Forest methods to perform sentiment analysis.

GeoSpatial Data In Python with GeoPandas: Parts 1-2
Feb 22, 24 | 1:00 PM to 4:00 PM | Register for Zoom Link

Geospatial data are an important component of social science and humanities data visualization and analysis. This workshop will introduce basic methods for working with geospatial data in Python using GeoPandas, a relatively new Python library for working with geospatial data that has matured and stabilized in the last few years. In the workshop we will import geospatial data stored in shapefiles and CSV files into geopandas objects. We will explore methods for subsetting and spatial reshaping these objects. We will use geopandas methods for defining and transforming coordinate reference systems. Participants will also join tabular data to geospatial data and create maps based on the data values.

Basic knowledge of geospatial data is expected. Python experience equivalent to the D-Lab Python Fundamentals workshop series is required to follow along with the tutorial.

Intro to ML in Python: Parts 1-2
Feb 22, 24 | 2:00 PM to 5:00 PM | Register for Zoom Link

This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets.

We will assume a basic knowledge of Python and a basic understanding of machine learning techniques. No theory instruction will be provided.

Creating Web Maps with ArcGIS Online
March 2 | 3:00 PM to 4:30 PM | Register for Zoom Link

Want to make a web map, but not sure where to start? This short workshop will introduce key mapping terms and concepts and give an overview of popular platforms used to create web maps. We’ll explore one of these platforms (ArcGIS Online) in more detail. You’ll get some hands-on practice adding data, changing the basemap, and creating interactive map visualizations. At the end of the workshop you’ll have the basic knowledge needed to create your own simple web maps.

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

- Upcoming Events -

Beyond Academia Conference

February 25-26 | Register for Zoom

Beyond Academia is a non-profit organization run by UC Berkeley graduate students and postdocs with the goal of empowering graduate students and postdocs to expand their career options beyond the traditional academic track. We accomplish this career education through a series of events including an annual conference, workshops, tutorials, and panels that connect academics with those who have made a transition to non-academic jobs.

Our flagship conference is a two-day event with around 100 Ph.D. speakers who successfully transitioned to non-academic careers in a variety of fields in both STEM and Humanities and Social Sciences. 

As part of our conference, we’ll have keynote lectures, panels, and professional development workshops aimed at educating and preparing you to transition to careers outside of academia. D-Lab's Executive Director, Claudia von Vacano, will be speaking during the University Beyond the Classroom Session on Feb 25 from 11:00 AM - 12:15 PM. 

This conference is FREE and fully virtual, don't forget to register here!

Computational Social Science Forum - Loops Ladders and Links: The Recursivity of Social and Machine Learning

February 22 | 12:00 PM - 1:30 PM | Register for Zoom Link

Speakers: Marion Fourcade, Professor of Sociology, UC Berkeley; and Fleur Johns, Professor in the Faculty of Law, UNSW
Machine learning algorithms reshape how people communicate, exchange and associate; how institutions sort them and slot them into social positions; and how they experience life, down to the most ordinary and intimate aspects. Drawing on this published paper and examples from the field of social media, we will review the commonalities, interactions and contradictions between the dispositions of people and that of machines as they learn from, make sense of, and jointly produce the world.

D-Lab ADAPT & Coleridge Initiative Event

March 3-5 | Virtual Event | Register for Zoom Link.

The new D-Lab Applied Data Analytics Training Platform (ADAPT), made possible through a complex data use agreement with the Coleridge Initiative, provides UC Berkeley students with access to state agency data related to jobs and economic opportunity from California Department of Social Services. Learn how states have developed regional collaboratives around a framework of training, shared products, data standards and governance at a Coleridge Initiative two-day webinar mapping the strategy to grow data access, stewardship, and analysis for evidence-based policymaking.

Check out this year's schedule!

Register to Attend

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.

Women in Tech Symposium: New Era in Human-Computer Interaction

March 12 | Eventbrite registration
Join CITRIS for the 5th Annual Women in Tech Symposium on Friday, March 12, 2021. Keynote
speakers, panels, breakout sessions, and a career fair all focused on human-computer
interaction. Special prices for students and nonprofits. We hope to see you there!
Learn more and register!

Cal Data Visualization Network (CDVN)
Excel and Google Sheets Meeting: February 18 | 11:00 AM - 12:00 PM | Zoom Link

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!

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

- Job Opportunities -

D-Lab is Hiring 2 MAXQDA Instructors

We are hiring two MAXQDA Instructors to lead our workshops. Applicants should have experience using advanced features of the software and be willing to design new workshop content. This role will work closely with D-Lab's Executive Director. Advanced workshop topics include using MAXQDA to write a literature review or research paper. The role pays $26 per hour. Please apply here.

MData Lab Postdoctoral Researcher

 The Multi-Data lab in the Information Systems Department at the University of Maryland, Baltimore County is seeking a two year full-time post-doctoral researcher. Candidate will work with Dr. Vandana Janeja in multi-domain data analytics. This will involve addressing heterogeneity modeling, working with complex and massive datasets.

To apply:
Candidates should submit the following materials electronically to Please include “PostDoc Application 2021” in the subject line.
*Email a single PDF file that includes*

1. A brief statement of interest describing your relevant background

2. Current CV (including publications list)

3. The names and contact information for two references (letters of recommendation will be solicited from finalists)

4. Two published papers, or equivalent writing samples that best demonstrate your expertise and fit for the position

Review of applications will begin February 20, 2021, and continue until the position is filled.
To learn more about the position and the application process, please view

OASIS Consulting Statistician

OASIS—Organizing to Advance Solutions in the Sahel—works to create a healthy and resilient Sahel where women and girls are educated and free to make critical life choices. We focus on three strategic priorities critical to this goal: 1) developing, strengthening and scaling-up evidence-based programs that complement education and health systems; 2) conducting ethnographic, formative and operations research to inform education and reproductive health policy and practice; 3) building local leadership and advocacy capacity to support an enabling environment for women and girls to thrive.

OASIS is seeking a statistician to provide technical support for program research and evaluation design, electronic data system development, and statistical analyses. Applicants are expected to have strong French language skills, a Ph.D/Ph.D in statistics, epidemiology, or equivalent, strong interpersonal and cross-cultural skills, and excellent writing skills.

Work will be as needed throughout 2021, with an estimated time commitment of 8 hours per week.

To apply please submit a resume and one paragraph highlighting your fit for this position, including French proficiency if applicable, to

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!

Short-term Database Admin Job Opportunity related to COVID-19

The Berkeley Water Center (BWC) is developing innovative tools to detect the concentration of the SARS-CoV-2 virus in wastewater influent. These innovations, once operationalized, will help to determine the epidemiological distribution of Covid-19 among the Bay Area populace. The San Francisco Estuary Institutue (SFEI) is partnering with BWC to develop a data visualization dashboard to complement this research. SFEI has approximately 100 hours of work for a talented PostgreSQL database expert specializing in database design, PostGIS, and ETL operations to support these efforts. If you are interested in such an opportunity, please contact Gemma Shusterman ( for more details.

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!

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