D-Lab will be closed on the following days for the holiday break this week.
We will not have a virtual front desk, workshops, or any consultations on our closed days. Wednesday, November 24 - Closed
Thursday, November 25 - Closed
Friday, November 26 - Closed
And as we take a moment to pause and take a break, reflecting on how we nourish and support ourselves and each other, we hope you might take a few more moments to listen to the beautiful poetry shared in this recent conversation between Deb Haaland, the first Native American cabinet secretary and Joy Harjo, the first Native American U.S. Poet Laureate, who says this:
"...you know, being a poet is very connected to environmental justice [...] words have power. They move through us. I consider words, especially poetic words, or words of poetry moving through from that place we come from, from the creative force that loves us, and I got into poetry because of a love for — I could see that words could change things [...] I came to poetry, because certainly I love language, but because of love for the land, and for justice."
- 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.
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.
Title: Optimal Dynamic Treatment Rule Estimation and Evaluation with Application to Criminal Justice Interventions in the United States Speaker:Lina Montoya, Postdoctoral Research Associate in Biostatistics at the University of North Carolina, Chapel Hill, and the University of California, Berkeley
After collecting trial data, it may be of interest to understand treatment effect heterogeneity, i.e., answer the question: which intervention works best for whom? The optimal dynamic treatment rule (ODTR) framework offers an approach for understanding which kinds of patients respond best to specific treatments. Recently, there has been a proliferation of methods for estimating the ODTR. One such method is an extension of the SuperLearner algorithm – an ensemble method to optimally combine candidate algorithms extensively used in prediction problems – to ODTRs.... read more.
- 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!
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 assignment to the proper resource or consultation service.
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.
Applications will be open starting Friday, December 10 until Tuesday, January 11, 2021. 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.
- Featured Job Opportunity -
Recruiting interns for the U.S. Census Bureau
The Census Bureau’s Economic Measurement and Research Internship (EMRI) program seeks to hire interns in economics to support the nation’s growing demand for information. This is an excellent opportunity for those who might be interested in returning to school to earn their Ph.D., to gain experience in conducting original economic research and in developing advanced programming and data analysis skills.
The ideal candidate will have previous programming experience in a statistical analysis software package (e.g., SAS, Stata, R, Python). Job duties generally include, data management and analysis, building data linking capabilities, summarizing results in tables and graphs, and research.
Learn how to apply here. The deadline to apply is November 29, 2021.
If you take a quantitative methods course here at Berkeley, chances are that you will learn how to perform a bootstrap. As an introductory data science instructor, it’s one of my favorite topics to teach, not just because it’s a powerful and useful tool, but also because it’s incredibly intuitive. In short, the bootstrap -- also known as resampling with replacement -- allows us to generate a distribution of sample statistics given only a single sample, estimating sampling error... 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.
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 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.
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.
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.
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.
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.
The Geospatial Innovation Facility (GIF) team is excited to announce a new series of online geospatial workshops! They are collaborating with the UC ANR's Informatics and GIS team this semester to bring you these great hands-on training opportunities. Please take a look at their workshop page to see what's available and to register.
Introduction to Cartography in ArcGIS Pro
The Geospatial Innovation Facility (gif.berkeley.edu) is co-hosting the free, online workshop Introduction to Cartography in ArcGIS Pro on Friday, Dec. 10th from 1-4pm. Follow the link above for details and registration information.
Digital Humanities Working Group Fall 2021
Dec 3 | 12pm-1pm | Register and read more
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!
