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Skip to main content Log in Intelligent research design for data intensive social science About About D-Lab Staff Governing Board Faculty Affiliates Data Science Fellows FAQ Contact Us Join Us Donate Services Trainings Transparent and Reproducible Social Research Using Stata Past Trainings Consulting Working Groups Space Resources Data Resources California Polls Data Qualtrics UC Data Campus Resources Course List Blog Blog Campus Events Projects Digital Refuge College Futures Online Hate Index Introduction to Applied Data Science Louisiana Slave Conspiracies Calendar Search Intelligent research design for the age of data intensive social science. Helping social scientists and humanists collect, process, analyze & visualize data The tools, methods, and techniques that D-Lab teaches scholars in the social sciences and digital humanities provide the ability to engage with complex research questions and produce answers that benefit academic colleagues, policymakers, and the public. A flexible infrastructure of human talent D-Lab provides services, support, and a venue for research design and experimentation in data-intensive social sciences and digital humanities, by pulling talented experts in from all over the campus. Supporting research instruction however it happens Researchers learn about new data, software and techniques in classrooms and lecture halls, but they also learn in peer to peer groups and in one one one conversations. D-Lab seeks to support those learning interactions in our working groups and consulting. Louisiana Slave Conspiracies The D-Lab has partnered with several organizations both on and off campus in order to collaborate on high-impact research projects. The Louisiana Slave Conspiracies Project (LSC) aims to make source materials from two slave conspiracies in 1791 and 1795 accessible to interested researchers. A collaborative multidisciplinary team, led by Professor Bryan Wagner in the UC Berkeley English Department, is developing an interactive digital archive of these materials. Our focus will be the testimonies taken from slaves and their allies in these conspiracies. Previous Pause Next Sign up for our mailing list! Upcoming Trainings 03-Mar-20 11:00am Visualization in Excel 03-Mar-20 1:00pm Finding Health Statistics and Data 05-Mar-20 12:00pm Tableau Bootcamp See more D-Lab Hours Fall 2019 The D-Lab Collaboratory work space in 356 Barrows is open to our community Monday - Thursday, 9am - 5pm and Friday, 9am - 4pm. Blog How I accidentally became interested in data science About three years ago—and six months after I became a PhD candidate—I learned that I was going to become a father. D-Lab Data Science Fellows Program - Call for Applicants The program is designed to give outstanding UC Berkeley graduate students the opportunity to advance their training within the D-Lab’s diverse and intellectually vibrant community. We offer... Talking about your research at Thanksgiving dinner Research is the biggest driving force behind innovation and success. It is also the main reason why many of us are drawn to higher education. See more Love Data Week, Feb 10- 14 Check out how UC Berkeley is celebrating Love Data Week , a nationwide campaign designed to build community around research data topics. GIVE to D-Lab and HATE SPEECH RESEARCH If you want to help better understand and combat online hate speech through research, please support the D-Lab's Hate Speech Research Project. Support Hate Speech Research Affiliate Spotlight Zachary Pardos is an Assistant Professor at UC Berkeley in a joint position between the School of Information and the Graduate School of Education (GSE). His focal areas of study are knowledge representation and personalized supports leveraging big data in education. He earned his PhD in Computer Science at WPI and comes to UC Berkeley after a post-doc at MIT Computer Science Artificial Intelligence Lab (CSAIL). At UC Berkeley he directs the Computational Approaches to Human Learning (CAHL) research lab and teaches courses on data mining and analytics, digital learning environments, and machine learning in education. Featured Working Group Computational Text Analysis Working Group (CTAWG) The Computational Text Analysis Working Group (CTAWG) features demos, tutorials, and ongoing projects through which we are learning to use an array of computational text analysis approaches includi Every other Wednesday, 3:00-5:00pm See more Featured Consultant Barkha Agrawal Python, R, C#, Data Analysis, natural language processing, Software Engineering By Appointment I am a graduate student to Masters in Information Management at UC Berkeley, and graduate student researcher at HAAS. Before joining Berkeley, I worked as a Senior Software R&D Engineer for Hewlett Packard, Bangalore. While working as a software engineer, I completed my post-graduation diploma in Data Science from IIIT, Bangalore. See more -- About | Contact | FAQ | Location | Work for Us D-Lab | University of California, Berkeley | 350 Barrows Hall Berkeley, CA 94720-3030 | dlab-frontdesk@berkeley.edu Connect with us Facebook Twitter RSS...