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- D-Lab Virtual Space -

D-Lab Frontdesk
Stop by our virtual frontdesk, open Monday-Friday from 9am-5pm! Our undergraduate technicians (UTech) can answer general questions about workshops or other D-Lab services and can link you up with a consultant during drop-in hours.

More info and Zoom link available here: https://dlab.berkeley.edu/frontdesk

If you can't stop by the frontdesk, please email: dlab-frontdesk@berkeley.edu

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.

- D-Lab is Hiring! -

D-Lab is hiring undergrads!

D-Lab is hiring UC Berkeley undergraduate students for our Undergraduate Technician (UTech) positions for the spring 2022 semester! 

We are holding information sessions on Wednesday, Dec 8 from 4pm-5pm and Thursday, Dec 9, from 4pm-5pm for students to learn more about the UTech role and the D-Lab in general. If you are interested in applying to the position, we highly encourage you to attend the info session. Please sign up here to attend! If you are unable to attend but want to watch the recording, please also sign up to let us know so we can email the recording to you. 

UTechs are the face of D-Lab’s virtual front desk, offering assistance to anyone who drops-ins by aligning them with the proper service or resource. This position is the front line support for D-Lab, and is often people’s first (and lasting) impression of D-Lab. Among other things, UTechs manage the “D-Lab Frontdesk” email inbox, contribute our weekly newsletter, contribute to workshop production and video curation, and assist with consultation requests and assigning folks to the proper resource or consultation service.  

Applications will be open starting Friday, December 10 until Tuesday, January 11, 2022. For more detailed information about the position, you can visit our website. If you have any questions, please reach out to dlab-frontdesk@berkeley.edu.
 

- Blog Post -

7 Steps to a Strong Survey Tool with Qualtrics

by Sohail Kamdar

When creating a survey for an audience it is important to make your survey tool accessible, succinct, and understandable. The following 7 step guide gives you an important tool kit to improve your survey response rates and completion rates, and give you clear results... read more.
- Human Context and Ethics of Data Science (HCE) Team newsletter -

This newsletter will cover the work and updates, connect readers with opportunities in the HCE space, and spotlight awesome work being done in the field.

Through this newsletter, we are hoping to build a community of people who are passionate about ethics, as well as diversity, equity, and inclusion, in Data Science. 

If you're interested, please fill out this HCE Newsletter interest form to sign-up and stay up to date.

 

- Upcoming D-Lab Workshops -
R Geospatial Fundamentals: Raster Data
Dec 3 | 12pm-3pm | 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. This workshop focuses on fundamental operations for reading, writing, manipulating and mapping raster data, which typically represents geographic information in a grid of regular sized cells.

Qualtrics Fundamentals
Dec 3 | 2pm-5pm | Register for Zoom link

Qualtrics is a powerful online tool available to Berkeley community members that can be used for a range of data collection activities.  Primarily, Qualtrics is designed to make web surveys easy to write, test, and implement, but the software can be used for data entry, training, quality control, evaluation, market research, pre/post-event feedback, and other uses with some creativity.

Stata Fundamentals: Parts 1-3
Dec 6, 7, 8 | 9am-12pm | Register for Zoom link

This workshop is a three-part introductory series that will teach you Stata from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the Stata 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.

R Fundamentals: Parts 1-4
Dec 6, 7, 8, 9 | 10am-1pm | Register for Zoom link
 

This 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, 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.

Python Fundamentals: Parts 1-4
Dec 6, 7, 8, 9 | 10am-1pm | 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.


Python Introduction to Machine Learning: Parts 1-2
Dec 7, 9 | 1pm-4pm | 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. No theory instruction will be provided. 


Keep an eye on our events calendar for upcoming workshops!

- Discovery Spring 2022 Partner Aplications -
The Division of Computing, Data Science, and Society’s Data Science Discovery Program is accepting project partner applications for Spring 2022. If you are interested in getting talented Berkeley data science students to work on your data science research project, please apply today! The Data Science Discovery Program is open to all UC Berkeley faculty, graduate students, and postdocs, along with non-profits, government agencies, and UC Berkeley-affiliated startups. 

Since 2015, the Data Science Discovery Program has connected thousands of undergraduate data scientists with hands-on, team-based opportunities in hundreds of cutting-edge data-centered research projects with various organizations at UC Berkeley and beyond. 

In addition to helping recruit student researchers, Discovery Program can provide free cloud computing credits and mentorship from graduate students with data science expertise. The Discovery Program also offers project management training for students and additional consultations for projects that are attempting to get off the ground. 

We're accepting applications through January 1st and the recruitment timeline along with other information can be found on our website. The application can be accessed here
 
- Other Campus Events & Workshops -

UC Berkeley Cloud Computing Meetup: Berkeley Startups and the Cloud
    Dec 9 | 1pm-2pm | Join via Zoom

This month's meetup focuses on Cloud Meetup partner Berkeley SkyDeck and explores why startups are important to Berkeley, how startups should think about selecting their cloud based tech stacks, and features a lightning talk from Mithril, a current cohort company from Berkeley SkyDeck, on how they enable secure AI on Azure.


Social Science Matrix Events
Register here and read more


Introduction to Cartography in ArcGIS Pro
Dec 10 | 1pm-4pm | Register for Zoom
The Geospatial Innovation Facility is co-hosting the free, online workshop... read more here.


Digital Humanities Working Group Fall 2021
Dec 3 | 12pm-1pm | Register and read more

- Other Opportunities -

UC San Diego’s Center on Gender Equity and Health
UC San Diego’s Center on Gender Equity and Health is looking to contract with a student or professional with strong skills in R and, to a lesser degree, Python coding languages to support two complex data collection systems (Qualtrics and Comcare) that are currently engaging in ongoing data collection. The independent contractor position would be for 20 hours per month for 3 months with possibility of renewal. Please contact Sabrina Boyce (scboyce@health.ucsd.edu) if you are interested. 


GSR positions for the Risk Resilience Lab
Learn more and apply here


2022 Data Science for Social Good Summer Fellowship
Apply here and read more


Hiring Pre-doctoral Fellows at the
Comprehensive Income Dataset Project

Apply here and read more


Faculty hire at Computational Precision Health
 Joint UC Berkeley-UCSF


Hiring for 4 endowed faculty positions. You can read more and apply here by Dec 10.


Post-Doctoral Researcher Position in Mental Health Services Research and Data Science | Population Health Sciences

The Department of Population Health Sciences at Weill Cornell Medicine is inviting applications for a post-doctoral researcher position in mental health services research and data science. You can read more and apply here

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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University of California, Berkeley
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