Events

Academia often demands more from faculty of color, especially women. Service duties like mentoring, advising, and supporting marginalized students and filling diversity quotas on committees leaves less time to focus on aspects of the job that are most heavily weighted in our evaluations. This unsustainable pace often compromises our productivity, creativity, efficacy, and ability to engage in self-care. This presentation, best suited for individuals with little or no familiarity with artificial intelligence (AI), offers strategies for reclaiming our time by harnessing the power of AI. Together we will explore practical uses for leveraging AI to optimize our research and teaching.  

Writing a strong cover letter may not be as hard as you think. This career lab will address the basic steps to understanding and deciding what to include, and how to organize this important part of most job applications. Primarily addresses non-faculty job searches, but the tips included will help job seekers in any field. (Feel free to bring your lunch, there will be light snacks) QB3-Berkeley programs support the career exploration and job search interests of bioscience doctoral students and postdocs; however PhDs from other disciplines are welcome. Register  

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 welcome grad students, faculty, and staff from all disciplinary backgrounds regardless of whether you are a beginner or an expert in empirical and data-driven methods. Working group meetings may include participants sharing work on current or future research, open discussions about theoretical, methodological or other challenges (e.g., data collection), invited speakers, and social mixers. Research at any stage of development (including nascent) is welcome for discussion.

This interactive workshop series is your complete introduction to programming in R for people with little or no previous programming experience. It covers the basics of using RStudio, creating variables, working with data frames, and starting to analyse your data using summary statistics and data visualization. After completing this workshop series you will be able to: Navigate R Studio Open data in R and work with it in data frames using tidyverse Distinguish between different variable types Visualize data using ggplot Inspect documentation to deal with error messages R Fundamentals has 4 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walk through interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. The workshop series is structured as follows: Part 1: Introduction to R and RStudio Part 2: Data frames and variable types Part 3: Manipulating data frames Part 4: Data visualizations and custom functions

This is a three-hour introductory workshop that will provide an overview of Excel, with no prior experience assumed. Attendees will learn how to use functions for handling data and making calculations, how to build charts and pivot tables, and more. The workshop includes a lecture-style walkthrough of each concept, combined with challenge problems to apply each concept to a real-world data analysis application. Instructors and TAs will provide support for students using Excel on either Windows or Mac, as well as for students using Google Sheets.