D-Lab and the Big Give
The D-Lab at UC Berkeley has become the 'go-to' place for data scientists studying at the edges - and beyond - of their disciplines.
You can give to D-Lab by contacting our development officer: Christian Gordon at 510.666.2725 or cmgordon@berkeley.edu. Thank you for your support!
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Interactive Maps in R with Shiny + Leaflet
Due to rescheduling, there's still time to register for this workshop on how to turn your geographic data into beautiful, interactive maps using R! Josh Pepper will instruct this popular workshop on creating easily reproducible, interactive maps. Register this workshop here!
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Qualitative Data Analysis with MaxQDA
New to qualitative research methods? Have some experience under your belt? Either way, you'll benefit from this workshop that will outline key decisions about what data is most relevant and approaches to coding in MaxQDA. Register here!
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Introduction to QGIS
Nancy Thomas, Executive Director of the GIF, is bringing her QGIS workshop to the D-LAB. Perfect for those with little experience working with geographic data, this workshop will show you how to use Quantum GIS (QGIS), a free and open source geospatial software application for mapping and basic spatial analysis. Register here!
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R Graphics with ggplot 2
Get a comprehensive overview of graphics in R: from learning how to construct and customize a variety of plot types to exploring the basic grammar of graphics. Register here!
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Extracting Data through Web APIs in Python
Learn to access databases via RESTful APIs in this workshop using Python and the New York Times Article API. Register here!
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Creating Publication-Ready Graphs with Stata
Your data speaks to you, but will a wider audience understand as easily? This workshop will show you how to turn your data into high-quality, polished graphs that allow for great legibility, all set for publication! Register here.
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Fall 2016 RRR Week Intensives
The D-Lab is offering the following useful intensives during RRR Week, December 5-9. This is a great way to get a leg up on Spring semester! A D-Lab intensive refers to a series of related workshops given in a condensed time frame, eg one week.
Stata Intensive (3-part series):
Dec 5-7, more details soon
R Fundamentals (4-part series):
Dec 6-9 from 10:00 AM to 1:00 PM
Python for Everything (4-part series):
Dec 6-9 from 1:00 PM to 4:00 PM
Introduction to Machine Learning in R (2-part series):
Dec 6-7 from 2:00 PM to 4:00 PM
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All Upcoming Workshops (through 12/1)
Creating Interactive Maps in R with Shiny and Leaflet
Mon, November 21, 2016 - 2:30 PM to 4:00 PM
Qualitative Data Analysis with MaxQDA
Mon, November 28, 2016 - 10:00 AM to 12:00 PM
Introduction to QGIS
Mon, November 28, 2016 - 1:00 PM to 4:00 PM
Survey Sampling: The Multi-Stage Process
Tue, November 29, 2016 - 11:00 AM to 1:00 PM
R Graphics with ggplot2
Tue, November 29, 2016 - 1:00 PM to 4:00 PM
Extracting Data Through Web APIs in Python
Wed, November 30, 2016 - 12:00 PM to 3:00 PM
Creating Publication-Ready Graphs in Stata
Wed, November 30, 2016 - 3:00 PM to 5:00 PM
Changing Gears: Moving from Coding to Conclusions
with Qualitative Data
Thu, December 1, 2016 - 12:00 PM to 2:00 PM
See our calendar for all of our workshops through the end of the semester. |
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Special Events & Announcements
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ACLS Grant Program
ACLS invites applications for the Grant Program, made possible by the generous assistance of The Andrew W. Mellon Foundation. This program supports digitally based research projects in all disciplines of the humanities and related social sciences with grants up to $125,000. Read more here.
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Mini-Conference on Population and Incarceration
The mini-conference on Population and Incarceration will be held Monday, December 12, from 12-5PM. Speakers include (but not limited to) Justin McCrary (Law), David Harding (Sociology), Erin Kerrison (Social Welfare), Sandra Smith (Sociology), and Heather Harris (a postdoc working with David Harding). The event begins with a buffet lunch at noon. Attendance is limited so sign up now using Eventbrite!
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Get Involved
Working groups are a great way to get involved in a community of like-minded researchers. You can always join at any time! See a listing of working groups on our website.
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