The D-Lab is seeking applicants for the 2024-2025 cohort of Data Science Fellows. Our Data Science Fellows serve as the bedrock of our workshop program and research community. The Fellowship is designed to allow outstanding UC Berkeley graduate students to advance their data science training within the D-Lab’s diverse and intellectually vibrant community. Data Science Fellows receive a stipend.
We are hosting an info session on Thursday, April 11 @ 3-4pm PDT, via Zoom. The recording will be made available after the session. Please register for the info session to receive a calendar invitation with Zoom link. Interviews will begin on a rolling basis starting April 22nd.
Submit an application for the 2024 Data Science for Social Justice program aimed at graduate students! Participants will receive eight weeks of comprehensive training in data science and ethics at no cost, in addition to a $2,000 fellowship award. This workshop has a heavy emphasis on collaboration and peer-to-peer learning, with a significant group work component. D-Lab, in collaboration with the Graduate Division, is looking for applicants who have compelling diversity statements.
Undergraduate Data Science Research Information Session D-Lab
Are you an Undergraduate interested in Data Science? Are you not sure how to get involved or looking for more resources?
Join D-Lab's Undergraduate Advisory Board information session about Data Science resources here at UC Berkeley! This presentation will include a broad range of opportunities for you to get involved with Data Science. After the presentation, there will be an open discussion to learn more about your interests and what the team can recommend.
The LLM Working Group is a community founded to facilitate conversations about Large Language Models (LLMs) and Generative AI within academia. This 4-part series will provide fundamental knowledge of LLMs, and generate conversation about the promises and challenges of LLMs in different facets of academic work. Sessions will be interactive, encouraging participants to share their experiences, pose questions, and collaboratively explore the challenges and potential of these technologies in their respective fields. We encourage everyone to participate, regardless of their experience level with LLMs and GenAI. The LLM Working Group is a welcoming and supportive community for all.
In our third session, Understanding LLMs, Tarun Gogineni, who is part of the Technical Staff at OpenAI, will discuss the state-of-the-art of research on the inner workings and output of LLMs. Tarun works with John Schulman & Liam Fedus on RL and ChatGPT and is a core contributor to GPT4 in the realm of Model Creativity. Tarun is joined by Zainab Hossainzadeh, a Linguist at Meta, who currently works on LLMs. She will be sharing her journey as someone from a non-engineering background came to have a career in tech, and how non-engineers can play an integral role in developing these LLMs.
The UC Berkeley Digital Humanities Working Group is a research community founded to facilitate interdisciplinary conversations in the digital humanities and cultural analytics. Our gatherings are participant-driven and provide a place for sharing research ideas (including brainstorming new ideas and receiving feedback from others), learning about the intersection of computational methods and humanistic inquiry, and connecting with others working in this space at Berkeley. We encourage everyone to participate, regardless of your experience level. The DH Working Group is a welcoming and supportive community for all things digital humanities.
DHWG end-of-the-year celebration! Nicholas Paige, Professor of French, presents an analytical examination of "scenes" in the novel from the early 1800s.
When working with observational (i.e. non-experimental) data, it is often challenging to establish the existence of causal relationships between interventions and outcomes. Propensity Score Matching (PSM) provides a powerful tool for causal inference with observational data, enabling the creation of comparable groups that allow us to directly measure the impact of an intervention. This blog post introduces MatchIt – a software package that provides all of the necessary tools for conducting Propensity Score Matching in R – and provides step-by-step instructions on how to conduct and evaluate matches.
D-Lab is now publishing on Medium! Follow us to stay up to date on all D-Lab related written content, including our blog posts, thought pieces, and staff updates. We’ll also recommend interesting articles we find on Medium and beyond!
The Center for Teaching & Learning (CTL) is hiring for an undergraduate student research assistant position to support our Presidential Chair Fellows (PCF) program and other programs, events, and services offered by CTL. This employee will be trained and mentored in data collection and analysis for SoTL, as well as how to navigate educational research. Experience in these areas is not required to be a competitive candidate. Applicants from any academic major who can demonstrate the potential to meet the aforementioned job expectations will be considered.
In this role, the undergraduate student research assistant will:
Assist in the initial design and establishment of educational research studies
Perform basic internet search and web scraping tasks as part of SoTL inquiry
Provide technical support in the process of collecting, analyzing, and visualizing data related to teaching and learning experiences
And more!
To apply, submit a brief statement describing your interest and highlighting your qualifications as well as your resume/CV to teaching@berkeley.edu. First review of applications will be held on April 8, 2024.
Are you interested in Public Health Informatics and Technology? If so, we invite you to explore and participate in our upcoming information sessions to gain valuable insights about the California Consortium for Public Health Informatics and Technology at UC Berkeley!
These information sessions offer a fantastic opportunity to learn more about exciting courses and internship opportunities tailored to your needs in Public Health Informatics and Technology. Join us to discover how you can shape your academic and professional journey and join our strong community of Public Health Informatics Learners.
The inaugural Berkeley-Stanford Veridical Data Science Workshop is focused on showcasing and promoting veridical (truthful) data science (VDS) for reproducible, reliable data analysis and decision-making. It intends to build a community of veridical data science researchers for trustworthy data science, machine-learning, and AI. The discussions will promote opportunities for statisticians and data scientists to identify important VDS research topics and critical applications in academia and industry. Graduate students and early career researchers will benefit from this conference to find future research directions.
The program includes 4 keynotes, 9 invited speakers, and a lightning talk session. An optional lightning talk abstract submission form will be sent via email after registration and 8-10 talks will be selected. The cost is $25 (student discount available), and lunch will be provided.
California Research Bureau (CRB) is launching CRB Nexus: Where Policy Meets Research! CRB Nexus is a community of practice for policy staff and researchers across California to initiate and build relationships, share policy needs and solutions, and find ways to move those ideas into action to benefit all Californians.
The mission of the California Research Bureau is to provide nonpartisan and confidential public policy research for the Governor’s Office and the State Legislature and to advance equitable access via statewide initiatives.
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