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 the second session, Teaching with LLMs, Kimberly Vinall, Emily Hellmich, Genevieve Smith, and Ben Spanbock will lead a dialogue on the potential of LLMs in reshaping educational landscapes. It discusses educational challenges such as AI literacy, academic integrity, biases, hallucinations, and privacy issues, as well as opportunities such as accessibility and democratization.
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.
When evaluating causal inference in observational studies, there often is a natural imbalance in the data. Luckily, variables are often measured alongside that can be helpful for adjustment. However, deciding which variables should be prioritized for adjustment is not trivial – since not all variables are equally important to the intervention or the outcome. I recommend using the joint variable importance plot during the observational study design phase to visualize which variables should be prioritized. This post provides a gentle guide on how to do so and why it is important.
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 Internal Revenue Service (IRS) is seeking a Data Scientist! This position will serve as a technical expert with responsibility for the initiation, planning, implementation, controlling, modifying, and executing of all or part of an entire project, including such tasks as formulation of workload estimates for program segments, specification of the methodology to be used, preparation of appropriate specifications and procedures, and review of computer systems specifications and materials and instructions needed for assuring the adequacy of the project's design and objectives. They will apply professional knowledge of computer science, mathematical, statistical theories, techniques, and methods to gather, analyze, design, and construct new processes for analytical modeling, interpreting models, and/or reporting quantitative information, trends, relationships, and correlations among or within data.
This position will be filled through the Direct Hire Authority. Your application must include your resume, responses to the online questions, and required supporting documents.
The Polarization Lab at Duke University is inviting applications for a Postdoctoral Associate! We seek a recent PhD with an interest in computational social science or data science. This individual will help design, execute, and analyze a series of field experiments on a platform created by the Polarization Lab for scientific research on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses on large datasets, have experience conducting survey research online, and have experience working with natural language processing and application programming interfaces, as well as prompt engineering, large language model training, and usage.
Applicants should upload their CV, a brief statement of their background and interests, their contact information, and at least three references. The Polarization Lab will begin to review applications on March 15, 2024, until a candidate is hired.
The Center for Long-Term Cybersecurity (CLTC) is pleased to announce the 6th annual Cal Cybersecurity Research Fellowship! This year, we are seeking research projects that aim to advance our understanding of how AI and machine learning technologies can help automate and amplify the capabilities of cyber defenders. Advances in SOAR (security orchestration, automation, and response) – software solutions that leverage AI and machine learning to enable systems to detect and respond to cybersecurity vulnerabilities, threats, and events autonomously – is one potential area of inquiry, though this RFP is not limited to SOAR techniques and we encourage applications with new ideas that meaningfully push the envelope on machine learning for security.
This award is typically up to $15,000, and potentially as much as $30,000, and is for UC Berkeley students or postdoctoral scholars to pursue cybersecurity research in security-related fields. This award may be used only to support a current student or postdoc’s research efforts.
This roundtable on artificial intelligence and translation, part of the ongoing AI and the Humanities series, brings together writers, scholars, and engineers along with Behrooz Ghorbani (OpenAI), Cathy Park Hong (UC Berkeley Professor of English), and Hoyt Long (University of Chicago Professor) to discuss how AI has impacted literary translation, translation theory, and language instruction. How might AI increase the creative potential of translation? What concerns or anxieties do writers have about translations of their works by AI? Do human translators and AI systems have the same sense of linguistic nuance? How might the digital humanities or cultural analytics draw upon AI for new theories of translation?
The AI and the Humanities series is a collaboration between the Townsend Center and the Berkeley Center for New Media.
Date: Wednesday, March 13 @ 5pm Location: Geballe Room, 220 Stephens Hall
We're excited to announce that the GIS & Mapping Community of Practice meetup will host Eric Theise on Wednesday, March 13, 11am-12:30pm for a presentation titled Eight Stories High, Comically Lo-Res, Visible for Twenty Miles: Spiraling Maps Atop Salesforce Tower!
Eric Theise (he/him) is a San Francisco-based artist and geospatial software developer. Through video and real-time performance tools he reinvigorates the perceptual inquiries of structural filmmakers, experimental animators, the Light and Space movement, and visual poetry as new possibilities in the realm of digital cartography. His concerns include perceptual pleasure and fatigue, geographies of the natural and built environment, and subverting the presumed objectivity and authority of maps. He holds a Ph.D. in Operations Research from the Department of Industrial Engineering and Management Sciences at Northwestern University.
Date: Wednesday, March 13 @ 11am-12:30pm Location: Center for New Music and Associated Technologies (CNMAT) Main Room, 1750 Arch Street, Berkeley, CA, 94709
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.
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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