Sign up for our August workshops and check out student job opportunities!
- D-Lab is Hiring! -
Paid Undergraduate Positions at the D-Lab
Become a UTech for the D-Lab Frontdesk!
D-Lab is hiring 4 more undergraduate students for the academic year! We need you if: you are service- and detail-oriented; you are a student who is interested in helping students; you like to be asked questions and look for answers. The UTech role serves as a first point of contact for the wider campus community for accessing D-Lab services which support data, data science, workshops, consulting, and research.
Calling All Graduate Students: Join the D-Lab Consulting Fellows Team!
Are you eager to dive into captivating inquiries presented by graduate students, faculty, scholars, and esteemed research institutions across our campus? Look no further! The D-Lab Consulting Fellows program offers you a remarkable opportunity to contribute your expertise.
As a D-Lab Consulting Fellow, you'll work in tandem with a network of accomplished consultants, instructors, and Data Science Fellows within the D-Lab community. Together, we tackle a wide array of technical queries and specialized research questions. Rest assured, every inquiry is unique, ensuring an exciting and intellectually stimulating experience.
Join us today and become an invaluable member of our vibrant and dynamic team. Embrace the chance to broaden your horizons, collaborate with brilliant minds, and make a significant impact within the academic realm. Don't miss out on this extraordinary chance to enhance your skills and contribute to groundbreaking research. Apply now to become a D-Lab Consulting Fellow!
Seeking passionate graduate students passionate about building research partnerships on campus and beyond. The role requires a high degree of coordination across individuals and groups. Discovery Fellows will also work closely with staff to coordinate and provide support for a portfolio of Discovery projects and provide mentorship to undergraduate student teams. A $4,500 stipend offered per semester.
Seeking students to support Discovery research partners and students in cutting edge data science research projects. Discovery operations staff will work closely with staff to expand the visibility of the Discovery and improve its engagement process with students and partners.
Seeking students to support the Data Science Discovery, Career Accelerator, and Data Scholars Programs by providing research and training support infrastructure. They will learn consulting best practices and contribute to the larger data science consulting network on campus. All Discovery Consultants will start out as Apprentice Consultants and will have the opportunity to be promoted to a paid Consultant role after one semester of satisfactory performance. Some Apprentices may begin as paid Consultants based on experience and skill.
Berkeley Computational Research for
Equity in the Legal System Training Program (CRELS)
We wish to invite rising second through fifth year UC Berkeley graduate students to apply to the NSF Computational Research for Equity in the Legal System (CRELS) training program, which provides fellowship and research funding to qualified Berkeley doctoral students.
CRELS is an intensive training program on criminal justice systems, data science, and social implications of using AI and big data. CRELS leverages new sources of big data to address pressing social, political, and institutional problems in the criminal justice system, in a way that preserves privacy without replicating existing inequalities. Trainees will follow a curated class/workshop schedule to develop relevant skills, gain subject matter expertise, receive training in best practices for team science and science communication across disciplines, as well as mentoring and professional development from faculty across disciplines. Further information is available here.
Get paid to learn IT support skills and concepts and provide IT services to UC Berkeley staff and faculty! You’ll work in UC Berkeley’s IT Client Services (ITCS) department, which provides direct technical support to UC Berkeley staff and faculty. The technician will engage in training, providing technical support, and documentation and will be paid to receive a ~100-hour program of technical training. The student team in ITCS has many leadership opportunities and frequently has roles open for project or training leadership.
Introduction to Field Experiments and Randomized Controlled Trials
by Leena Bhai
Leena Bhai provides an introduction to field experimentation and its significance in understanding cause and effect. She explains how randomized experiments represent an unbiased method for determining what works, delves into essential features of experiments such as intervention, excludability, and non-interference, then works through a fictional example of a randomized controlled trial of the efficacy of an experimental drug, Covi-Mapp.
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