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.
- Featured Event -
Computational Social Science Forum
Oct 19 | 4pm to 5pm | Register for Zoom link Title: From Ivory Tower to Ivory Bridge: Applications and
Lessons Learned in Public Computational Social Science Speaker:Tim Thomas, Berkeley CSSTP Research Training Lead, and Research Director, Urban Displacement Project
Translating scholarship to social good is no small task. Beyond the research, it requires special tools, approaches, public engagement, and humility that are often not taught in academic courses. Drawing from three data science projects on eviction and displacement, Tim Thomas will discuss the basic ingredients, pedagogy, and hurdles for effective public scholarship.... read more.
- Featured D-Lab Opportunities -
D-Lab has two opportunities for undergraduates to participate in our NSF-funded research project on Improving Undergraduate STEM Education (IUSE)
Student Job: Undergraduate Student Advisory Board
An opportunity for undergraduate students to help guide an NSF project. This part-time position for work-study eligible students starts at $18 per hour for up to 5 hours per week, with the possibility of continuing for multiple semesters. Undergraduate students can choose to serve on the project’s advisory board and assist with some outreach and recruitment.
To apply, interested Berkeley undergraduate students should submit this application by October 15, 2021.
Data Science students and candidates in their sophomore and junior years from diverse or underrepresented backgrounds are encouraged to apply.
Focus Group: NSF IUSE Undergraduate Data Science at Scale
Have you transferred to UC Berkeley? Are you a re-entry student? Are you interested in Data Science Education? Have you taken Data Science courses at UC Berkeley?
If you answered yes, we would like to invite you to join us for a focus group exploring the experiences of transfer and re-entry students in Data Science at UC Berkeley. The NSF IUSE, Undergraduate Data Science at Scale project is holding focus groups in October to learn more about student experiences to improve educational opportunities. Focus groups will be approximately 90 minutes and participants will receive a $25 gift card for their participation.
I've always been interested in biological information and human health while in more recent years I’ve developed a narrower interest in privacy concerns regarding patient data. When it comes to working with patient health data, I’ve realized a human-centered approach is vital. The question is, which human perspective do we empathize with? There are multiple stakeholders that handle patient data, including the patient, medical professionals, the data managers and systems professionals, the government, and private entities... read more.
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.
Python Data Wrangling and Manipulation with Pandas
Oct 19 | 10am-1pm | Register for Zoom link
Pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real-world data analysis in Python. In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis.
Stata Fundamentals: Parts 1-3
Oct 20, Oct 22, Oct 25 | 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.
Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data. We will look at tools that let you create custom tables of vital statistics (birth, death, etc.), disease statistics, health behavior statistics, and more. The focus will be on U.S. statistics, but sources of non-U.S. statistics will be covered as well. Whether you need a quick fact or a data set to analyze, this workshop will lead you to relevant data sources. No prior knowledge is required for this workshop. Please attend if you have any interest in health statistics and data sources. Have a laptop with you to follow along.
Python Introduction to Machine Learning: Parts 1-2
Oct 21, Oct 28 | 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.
For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter notebook.
This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry layers, adding statistics, transforming scales, and coloring or panelling by groups. You will learn how to make histograms, boxplots, scatterplots, lineplots, and heatmaps as well as how to make compound figures.
R Fundamentals: Parts 1-4
Oct 25, Oct 26, Nov 1, Nov 2 | 9am-12pm | 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
Oct 26, Oct 28, Nov 2, Nov 4 | 2:30pm-5:30pm | 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.
Keep an eye on our events calendar for many more new workshops!
- Natural Language Processing (NLP) methods,
for Computational Social Science -
NLP+CSS 201: Beyond the basics tutorial series
Visit here for more information, dates, and registration links.
10/27: Extracting Information from Documents, with Andrew Halterman
11/10: Controlling for Text in Causal Inference with Double Machine Learning, with Emaad Manzoor
11/24: Beyond the Bag Of Words: Text Analysis with Contextualized Topic Models, with Silvia Terragn
12/8: BERT for Computational Social Scientists, with Maria Antoniak
- Data Peer Consulting and Workshops -
Data Peer Consulting Services
The undergraduate Data Peer Consulting is available this Fall to help you with all of your Jupyter notebook, SQL, data visualization, and other data science needs for free.
Advancing Responsible AI Innovation & Leadership
Center For Equity, Gender & Leadership & Berkeley Haas
Oct 14 | 4pm-5pm | Register and read more
Introduction to High Performance Computing with Savio training
Oct 14 | 3pm-5pm | Read more
Volunteer for a Graduate Application Hack-a-thon Nov 8-12 | Submit by Oct 18 | Register and read more
Data Science Education for Community Colleges (ft Katia Fuchs)
Podcast | Listen here
Digital Humanities Working Group Fall 2021
Oct 22, Nov 5, Nov 19, Dec 3 | 12pm-1pm | Register | Read more
- Other Opportunities -
Student Affairs IT/Student Technologies is hiring a
Project / Policy Analyst 4 Position at
Application deadline Oct 19 | jobs.berkeley.edu (job #24352)
Under-Mapped Spaces: New Methods and Tools for Critical Storytelling with Maps
Feb 28 - Mar 4, 2022
Stanford University | Application deadline Nov 12, 2021 | Register and read more
REFORM Alliance is hiring a Director of Research and Analysis
Visit this LinkedIn for more information and how to apply
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