Fellowship and Grant Workshops

Join us for Black Undocumented Spaces: Our Voices for Allies and Advocates, and listen to the stories of Black undocumented students and alumni. They will discuss their vision for higher education to reach equity and inclusion to better support Black undocumented students.

Join us for our Undocumented Professionals Panel and discussion with DACAmented and/or formerly Undocumented Professionals. Panelists will share advice and personal reflections about living with and without DACA and how they've navigated their careers given their unique experiences and identities. We would like to remind participants to utilize the rename feature on zoom for their own safety and disclosure.

See organizers’ website for details It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This R workshop will introduce tools (notably dplyr and tidyr) that makes data wrangling and manipulation much easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful stuff. Click here for install instructions and workshop materials. Prior knowledge: Previous experience with (basic) R is assumed. Completion of D-Lab's R FUN!damentals workshop series should be sufficient.

See organizers’ website for details Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real-world data analysis in Python. In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis. We plan to cover: pandas data structures loading data subsetting and filtering calculating summary statistics dealing with missing values merging data sets creating new variables basic plotting exporting data New to Python? Consider attending D-Lab's Python for Everything series!

See organizers’ website for details For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter (formerly IPython) notebook. The following plot types will be covered: line bar scatter boxplot We'll also learn about styles and customizing plots. Throughout the workshop, we'll discuss the plot types best suited for particular kinds of data. Basic familiarity with the Python programming language is assumed. New to Python? Consider attending D-Lab's Python Fundamentals series.

See organizers’ website for details Are you interested in teaching and researching worldwide? The Fullbright U.S. Student program is looking for students and young professionals to engage in the global community through academic and cultural exchanges in more than 140 countries worldwide.    If you would like to learn more about the program, staff from the Institute of International Education (IIE) will be holding a virtual General Presentation Session on Wednesday, May 5, 2021 from 1:00 to 2:30 PM, Pacific Time. In this info session, UC Berkeley's Fulbright Program Adviser (FPA) will also cover institution specific details, deadlines, and next steps.   To attend the info session, please register here.  For more information about the Fulbright U.S. Student Program, visit the Fulbright website at https://us.fulbrightonline.org/

Do you have a reliable and strong network of mentors? Are you struggling to cultivate mentoring relationships? Do you know the difference between a mentor and a sponsor? Are you moving to a new stage of your career and wondering how to find new mentors and sponsors that are appropriate to the next level? If so, join us for a webinar that will help you: Map your current mentoring network Identify your unmet needs Plan how to expand your existing network to meet your current needs

How can you transform your course to center student learning? When designing a new course or revising an existing one, a learner-centered approach calls for instructors to examine the relationship between learning objectives, assessments, and activities. In this interactive workshop, participants will explore strategies for aligning these components to help students focus their learning on what matters most in your course and to ensure the accuracy of your assessments. Participants will also consider a key tool used to communicate student expectations and course details: a course syllabus.

Ample evidence from research in education across disciplines has shown that actively engaging students in their learning process has numerous benefits. To facilitate engagement, instructors can incorporate a variety of active learning strategies into their teaching, from minute papers to case studies. Yet, with the extensive list of strategies available, how do we choose activities to best support student learning in our particular courses? In this interactive workshop, participants will collaboratively explore considerations for selecting active learning strategies for different teaching and learning goals. Participants will also consider logistics of implementation and ways to informally gauge the effectiveness of the approach in their course contexts. To help us plan through better understanding your goals and availability, please fill out this brief Google form in advance of the workshop: https://forms.gle/DoG6BEewaUDM5tMFA

How do we design media that fosters student engagement? What are evidence-based strategies for incorporating multiple kinds of media effectively? In this interactive workshop, participants will explore key elements and strategies for DIY audio and media production processes. Participants will discuss the role of pre-production (i.e., planning and preparation prior to recording) as an important component to developing engaging media content and consider its benefits and challenges. Participants will also engage with resources for maximizing digital media workflows for pre-production, production, and post-production.

The workshop will be an intensive two-day introduction to R using RStudio. After the first morning session, the workshop will (staffing permitting) be split into two separate tracks. Topics will include R basics - reading and manipulating data, working with R data objects, doing calculations, making plots programming in R doing statistics/data analysis/data science in R a brief intro to more advanced topics: efficiency, object-oriented programming, parallel processing in R

Zoom meeting information is linked above on the event page for your workshop under "Online Location/Join Online Event" *This workshop fulfills a requirement for the Certificate of Teaching & Learning in Higher Education. In order to receive credit for the Certificate of Teaching and Learning:  Arrive punctually and attend the entire meeting. Complete the attendance form at the end of the session (you can review your records under Event History or Path). For attendance tracking ease, we ask that you use your given name as your display name in Zoom.