RDS has 10 seats available for this workshop by Barbara Endemaño Walker, running 9 a.m.–1 p.m. on Thursday, April 3, and Friday, April 4. To reserve your spot, please send a draft one-page proposal concept—which will be workshopped during the event—along with your name, department, and confirmation of availability to ResearchEvents@arizona.edu by March 27, 2025.
This series of workshops from the U of A DataLab is taught by Rudy Salcido at the Weaver Science-Engineering Library and on Zoom. The purpose of the Research Productivity Workshop series is to help alleviate the challenges with creating a culture for diverse teams to thrive, planning, and managing projects. These sessions will benefit faculty, researchers, staff, and students (undergraduate, graduate, and post-doctoral) planning your next project, currently working on projects, and preparing for your next grant proposal submission. Sessions offered in this series:
Details and registration are available here.
This series of workshops from the U of A DataLab is taught by Rudy Salcido at the Weaver Science-Engineering Library and on Zoom. The purpose of the Research Productivity Workshop series is to help alleviate the challenges with creating a culture for diverse teams to thrive, planning, and managing projects. These sessions will benefit faculty, researchers, staff, and students (undergraduate, graduate, and post-doctoral) planning your next project, currently working on projects, and preparing for your next grant proposal submission. Sessions offered in this series:
Details and registration are available here.
This series of workshops from the U of A DataLab is taught by Rudy Salcido at the Weaver Science-Engineering Library and on Zoom. The purpose of the Research Productivity Workshop series is to help alleviate the challenges with creating a culture for diverse teams to thrive, planning, and managing projects. These sessions will benefit faculty, researchers, staff, and students (undergraduate, graduate, and post-doctoral) planning your next project, currently working on projects, and preparing for your next grant proposal submission. Sessions offered in this series:
Details and registration are available here.
This series of workshops from the U of A DataLab is taught by Megh Krishnaswamy at the Weaver Science-Engineering Library and on Zoom. Join us for an engaging and accessible introduction to Natural Language Processing (NLP) and its practical applications for everyday tasks! In "NLP for All," we will explore the fundamental concepts behind NLP: From understanding how computers interpret human language; to discovering how to improve search queries, use regular expressions, find datasets, and learn about pipelines for working with language. Whether you're curious about chatbots, voice assistants, or automated text transcription and analysis, this series will demystify popular technologies and show you how they work.
This series of workshops from the U of A DataLab is taught by Carlos Lizárraga and Enrique Noriega Atala at the Weaver Science-Engineering Library and on Zoom. Generative AI is a subset of artificial intelligence that focuses on creating new content. Unlike traditional AI models that analyze data, generative AI models learn patterns from existing data and generate new, original content. This can range from text, images, music, and even code.
Understanding generative AI is crucial for several reasons:
The applications of generative AI are vast and expanding rapidly. Some key areas include:
This series of workshops from the U of A DataLab is taught by Greg Chism at the Weaver Science-Engineering Library and on Zoom. Advanced AI techniques, particularly in the realms of deep learning, sequence modeling, and retrieval-augmented generation (RAG), are revolutionizing the healthcare industry. These technologies offer powerful tools for analyzing complex data, predicting patient outcomes, and enhancing decision-making processes in clinical settings.
Understanding and mastering advanced AI techniques is crucial for several reasons:
This series of workshops from the U of A DataLab is taught by Jeff Gillan at the Weaver Science-Engineering Library and on Zoom. Step out of conventional GIS frameworks and discover the latest trends in geospatial data science where open tools, cloud technologies, and the proliferation of sensor data are innovating earth observation and environmental monitoring.
Emphasizing open science and reproducible methods, this immersive hands-on workshop series will:
Each workshop session is designed to be a discrete lesson where students will walk away with specific knowledge on a tool and resources to explore deeper. Our goal is to demystify vocabulary and show you how to use these tools with straight forward examples. We hope to cover material that is not currently being taught in credited classes at U of A.
The series is FREE and open to all affiliated with the University of Arizona. It is tailored for graduate students, postdocs, and early career faculty looking to expand their geospatial skills.
We welcome students and professionals from any field of study across the university. A variety of skill levels are also welcome, though each lesson will assume the audience has limited experience on the topic. Basic knowledge of scripting languages (mostly python) and some prior geospatial experience will be helpful. Some of the lessons will include gentle live coding, but the focus will be on the big picture of what the code is doing. Jupyter notebooks with pre-written python code will be provided for several of the lessons.
This series of workshops from the U of A DataLab, taught by Michele Cosi and Carlos Lizárraga at the Weaver Science-Engineering Library and on Zoom, provides graduate students in public universities with the necessary skills and tools to analyze biological data using high-performance computing resources.
Participants will acquire hands-on experience with industry-standard command-line tools (CLI) for DNA and RNA sequencing analysis, sequence manipulation and alignment, and pipeline management for automating complex workflows. They will also learn about differential expression analysis for identifying genes with altered expression levels, data visualization techniques for effectively presenting results, and the basics of artificial intelligence (AI) and machine learning (ML) in bioinformatics.
Upon completion of this workshop, graduates will be capable of using these powerful tools and methods to address real-world biological challenges and make significant contributions to bioinformatics research.
Lewis-Burke & Associates (LBA) provides the University of Arizona with advocacy for public policy from our federal agencies. LBA specializes in science, technology, education, and health. Join us every second Wednesday to discuss what is happening in Washington, D.C., in real time. Following the DC Update, we'll dive into areas of interest for the University.
The event is free, but registration is required through TRELLIS.