The D-Lab will be closed on the following days for the Thanksgiving holiday break. We will not have a virtual front desk, workshops, or any consultations on our closed days. We hope that everyone has a great holiday and gets some much deserved time off!
Monday, November 22 - Open for all services
Tuesday, November 23 - Open for all services Wednesday, November 24 - Closed
Thursday, November 25 - Closed
Friday, November 26 - Closed
- 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.
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. Participants engage in a variety of activities such as presentations of work in progress, discussions and critiques of recent papers, introductions to new tools and methods, discussions around ethics, fairness, inequality, and responsible conduct of research, as well as professional development. This Forum is organized as part of the Computational Social Science Training Program, and weekly meetings are hosted by researchers from BIDS and D-Lab...read more.
Teaching with Campus Jupyterhub Workshop #2
(Data Science x Political Science)
Nov 17 | 3pm-4pm | Academic Innovation Studio, Dwinelle 117, Level D or Attend via Zoom
Let's learn more about how David Broockman and Andrew Little taught using R notebooks on campus Jupyterhub. Learn how you can integrate data science modules into your classes and work to create new content. The session will include examples of how faculty use Data Science notebooks in their teaching.
- Featured Job Opportunities -
D-Lab is Hiring Instructors
We are looking for graduate students with experience in the following areas:
1-2 MaxQDA Instructors
2 Stata Instructors
1 Qualitative Methods Instructors
1 Instructor for QGIS / ArcGIS
2-3 Instructors for geospatial methods using R and/or Python
For Spring 2021 we are hiring 10 graduate students as D-Lab consultants to work between 3-10 hours per week, including weekly 2-hour drop-in sessions at our virtual front desk and a 30-minute biweekly team meeting. All work can be done remotely.
We are looking for graduate students with experience in the following areas:
• Statistical methods and tools such as STATA, SASS, SPS
• Qualitative research methods and tools such as MAXQDA,
NViVo, Praat, Atlas.Ti
• Tableau or Excel for data analysis & visualization
• Survey design or survey analysis
If you have any of the above skills, please apply here.
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.
- Blog Post -
Stumbling upon data sonification when I fused my passion for music with coding
Like many graduate students from the MIDS program who are also full-time working professionals, I return to campus to seek knowledge and satisfy my intellectual curiosity in information and data science. It has become a part of a lifelong learning pursuit that enables me to constantly apply what I learn back into the real world. Along the way, I never forget that it is also important to have fun with science by combining new knowledge with my own passions in arts and music in whatever ways possible. For nearly a decade... 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 -
Python Introduction to Artificial Neural Networks
Nov 17 | 9am-12pm | Register for Zoom link
This workshop presents a brief history of Artificial Neural Networks (ANNs) and an explanation of the intuition behind them; a step-by-step reconstruction of a very basic ANN, and then how to use the scikit-learn library to implement an ANN for solving a classification problem.
R Introduction to Deep Learning: Parts 1-2
Nov 17, 19 | 10am-1pm | Register for Zoom link
This workshop introduces the basic concepts of Deep Learning — the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Like many other machine learning algorithms, we will use deep learning algorithms to map input data to their appropriately classified outcome labels.
Since 1790, the US Census has been THE source of data about American people, providing valuable insights to social scientists and humanists. Mapping these data by census geographies adds more value by allowing researchers to explore spatial trends and outliers. This workshop will introduce three key packages for streamlining census data workflows in R: tigris, tidycensus and tmap. Participants will learn how to download census tabular data for one or more geographic aggregation units or years, download the associated census geographic data and then join these data for analysis and mapping.
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.
This workshop will start by introducing you to navigating your computer’s file system and basic Bash commands to remove the fear of working with the command line and to give you the confidence to use it to increase your productivity. And then working with Git, a powerful tool for keeping track of changes you make to the files in a project.
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.
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.
CDSS Data Science Podcast Supporting Data Science Students from Marginalized Communities (feat. Gloria Washington) Click here to listen
Geospatial Workshops
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.
Digital Humanities Working Group Fall 2021
Nov 19, 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!