D-Lab's workshops and consulting services will be paused for the summer. Our core staff will be focusing on special projects and other endeavors. We look forward to seeing you in the fall and hope you have a great summer.
The D-Lab is seeking Senior Fellows to serve as peer mentors for the Data Science for Social Justice Workshop this summer! Senior Fellows are integral to fostering the supportive and high-touchpoint environment that ensures the success of participants in the workshop. Senior Fellows will attend twice weekly live sessions from June 17-August 9, lead D-Lab style workshops, and provide feedback and mentorship to DSSJ participants. Senior Fellows will be awarded a $2500 stipend.
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.
The recording from the info session on Thursday, April 11 is available upon request. Interviews will begin on a rolling basis starting May 1st.
Since 2018, D-Lab has been organizing the Digital Humanities Summer Minor and Certificate Program. This program teaches you how to ask timeless questions and answer them using today’s tools. It offers you the skills to make your work communicable and relevant in today’s digital world – skills you’ll use as a scholar and as a professional.
This year, we are offering a brand new course on Decolonial Digital Humanities! This course approaches Digital Humanities tools through lenses of Decolonial studies, Black Feminist studies, Indigenous studies, Cultural studies, and Environmental studies. Topics include learning how to productively critique, organize and manage digital storytelling projects, while working with a variety of entry-level DH research methodologies and tools such as Voyant, ArcGIS Story Maps, and others. This is a great course for anyone who wants to learn to do critical, equity-driven computational research!
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 fourth and last session for the semester, Researching with LLMs, Douglas Guilbeault and Chris Soria will delve into the use of LLMs as part of the researcher toolkit. We will discuss the use of APIs, prompt engineering, and other techniques to integrate LLMs into research.
We are thrilled to announce our upcoming Data Science Discovery Symposium on May 1st, 1pm-3pm. The Discovery Program accelerates data science and AI research in academia, government, non-profit, and industry. This event will be an excellent opportunity for you to witness cutting-edge research conducted by our Discovery students this semester. Watch this video about us and our symposium.
Our keynote speaker for this event will be Jevin West, an esteemed figure in the field of data science. Don't miss the chance to engage with groundbreaking research and network industry partners, discovery students, and fellow researchers.
Registration is free and drinks and snacks will be provided. The Data Science Honors Research Symposium will follow the event from 3:30pm-4:30pm. Be sure to check it out!
Grounded theory, a powerful tool for qualitative analysis, can enhance data science research by improving transparency and impact. Researchers can create a vivid record of their process by meticulously documenting the entire research journey, including the decisions they make and the corresponding rationale behind them, from initial data exploration to developing and refining theories. Embracing grounded theory principles, such as iterative coding and constant comparison, can help data scientists build robust, data-driven theories while ensuring transparency throughout the research process. This approach makes research more replicable and understandable and invites others to engage with the work, fostering collaboration and constructive critique, ultimately elevating the value and reach of their findings.
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 College of Computing, Data Science, and Society is seeking two graduate fellows to support the eight-week Tuskegee Scholars summer program, where scholars from Tuskegee University, Alabama, engage in data science project work and coursework aimed at developing computational and exploratory data analysis skills in human contexts. The graduate fellows will facilitate the Research, Pedagogy, and Discovery Seminar, committing approximately 7 hours weekly and receiving a $5,000 stipend. Ideal candidates will possess quantitative data science skills, teaching experience, and the ability to foster inclusive learning environments.
The Latinx Social Science Research Workshop Series creates mentorship links across faculty, postdocs, and graduate students. During the workshops, graduate students, postdocs, and faculty share research in progress and receive feedback from a community of engaged scholars in the Latinx Social Sciences.
Lorraine Torres-Colón and Miguel Samano are the presenters for this edition. The discussants will be Marvyn Arevalo and Kevin Quintero. We will share the presenters' research materials with the participants who submit their RSVPs so they can review them in advance and provide feedback during the workshop.
Date: Thursday, May 2 @ 12pm-1:30pm Location:Latinx Research Center (2547 Channing Way, Berkeley, CA 94720)
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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