Hub Updates is the UW-Madison data science community's resource for news, trainings & workshops, and professional opportunities in data science.

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October 5, 2022

2023 Research Bazaar
The Research Bazaar (formerly the Data Science Research Bazaar) is an inclusive, community-building event at UW-Madison for researchers, data scientists, entrepreneurs and community members, including students. It is modeled on the internationally occurring Research Bazaar, a worldwide festival promoting the digital literacy emerging at the center of modern research. The aim of these events is to equip researchers from all career stages with the digital skills and tools required to do their research better, faster, and smarter.

The 2023 Research Bazaar seeks submissions for lightning talks, posters, interactive discussions, and workshops. Submissions are encouraged, but not required, to fit under the event theme of Information Insights: Shaping Futures with Data and Computing. Presentations from researchers and data scientists from all disciplines, industries, and career stages, including students are all welcome. Proposals are due November 10. Visit the 2023 Research Bazaar website for more information and to apply.

Upcoming Trainings & Workshops

Enhancing Undergraduate Research with Machine Learning, Informatics Skunkworks
October 22, 11:00 a.m. to 1:00 p.m., Virtual, Machine Learning's power, low-cost, and relative accessibility create an exciting opportunity to simultaneously expand and evolve undergraduate research and provide critical workforce training in this field. The goal of this workshop is to help participants explore how they can take advantage of this opportunity by presenting free tools and curriculum designed to reduce the barriers to integrating more machine learning into their own undergraduate research programs. For more information and to register visit the Machine Learning workshop webpage.

Building Transformer-Based Natural Language Processing Applications, NVIDIA & Data Science Hub
October 24-25, 8:30 a.m. to 12:30 p.m., Virtual, Transformer-based models have revolutionized natural language processing (NLP) by offering accuracy comparable to human baselines on benchmarks like SQuAD for question-answer, entity recognition, intent recognition, sentiment analysis, and more. In this workshop, you’ll learn how to use Transformer models for text classification and named-entity recognition (NER) tasks. You’ll also learn how to analyze various model features, constraints, and characteristics to determine which model is best suited for a particular use case based on metrics, domain specificity, and available resources. For more information and to register ($10 for UW-Madison affiliates), visit the Eventbrite registration page.

R and Python Workshop Series, UW-Madison Libraries
UW-Madison Libraries and Ebling Library are offering workshops on R and Python programming for researchers. The intended audience is anyone at UW-Madison who would like to learn how to automate data processing using the R programming language and for the absolute beginner wanting to slowly walk through the process of getting started with Python. To view the workshop itineraries and register, visit the R and Python Workshop Series website.

Introduction to R and RStudio, Bioinformatics Research Core
October 24, 10:00 a.m. to 3:00 p.m., In-person, This workshop is aimed at researchers interested in using R methods and is a general introduction to using R/Rstudio. Participants will learn R commands and methods within the RStudio framework and content will cover “classic R” and introduce elements of Tidyverse and reproducible research. For more information and to register, visit the Introduction to R workshop website.

Intermediate Research Software Development in Python, Data Science Hub
November 2-3, 9:00 a.m. to 4:30 p.m., In-person, This course aims to teach a core set of established, intermediate-level software development skills and best practices for working as part of a team in a research environment using Python as an example programming language. The core set of skills that will be taught are not a comprehensive set of all-encompassing skills, but a selective set of tried-and-tested collaborative development skills that forms a firm foundation for continuing on your learning journey. For more information and to register, visit the Intermediate Python workshop website.

Fall 2022 Mini Workshop Series, Data Science Hub
October - December, 9:00 a.m. to 12:30 p.m. CT, Virtual, The Data Science Hub will be hosting a series of mini workshops starting this fall. This series will include topics such as:
  • Oct 26-27: Intro to Machine Learning with Sklearn
  • Nov 16-17: Intro to Docker
  • Nov 30: Data Visualization in Python
  • Dec 14: Intro to Julia
Each workshop can be registered for separately and has their own pre-requisites. To view the workshop itineraries and register, visit the Fall 2022 Mini Workshop Series website.

Upcoming Seminars & Events

SILO Seminar Series
SILO is about breaking down the systems, information, leaning, and optimization of research created by academic department boundaries. Recent advances in information science are allowing scientists and researchers to sense, process and share data in ways and scales previously impossible. These developments have the potential to benefit work happening in a wide range of disciplines. SILO’s purpose is to help realize such potential by providing the time and space for researchers to present and interact to find common threads. SILO seminars take place at 12:30 p.m. every Wednesday. Visit the SILO webpage for information about their upcoming talks.

October 13, 3:00 p.m. to 4:00 p.m., In-person, In this talk, Raj Rajamani will take the audience on a time machine ride to explore the technology used by leading Cybersecurity products. Starting with some of the earliest products from the 90s (signature based detection) through the 2000s that saw the advent of Intrusion Prevention technology and whitelisting, the 2010s in which AI/ML was used in a pioneering manner to the state of the art in the 2020s. Visit the RED Talk registration page to sign up.

Student Opportunities

dotData Member Meeting, Data Science Club
October 5, 6 p.m. to 7 p.m., Computer Sciences Building, Room 1240, Founders of EasyJobs will be presenting at dotData's next meeting to talk about how and why they started the project, how to effectively find a dream job, and EasyJobs’ end goal, while also providing free premium EasyJobs subscriptions to attendees. Sign up for the dotData newsletter for updates about upcoming events.

Student Research Assistant, Berbee Walsh Department of Emergency Medicine
This research project will be conducting qualitative semi-structured interviews with Spanish-speaking patients who have recently received care in the UW Health Emergency Department. They are seeking to understand how patients experienced care, and how discharge instructions were communicated to the patient. The successful candidate will participate in the interviews either as the lead interviewer or secondary interviewer, will transcribe, translate and code the interviews as part of a larger research team. For more information and to apply, visit the Student Research Assistant position description.

Student Intern - Open Science Developer, Data Science Institute
The student developer will work with their supervisor to select open tasks on open source scientific software projects (primarily those that are NumFOCUS affiliated) on public code hosting and collaboration platforms that would benefit from additional personnel time and are within the technical scope of the student developer. Under the supervision of their supervisor the student developer will interact with the maintainers of the open source software project and work to resolve the issue by contributing to the project. For more information and to apply, visit the Student Intern position description.

Professional Opportunities


On Campus

Data Scientist, School of Medicine and Public Health
SMPH is seeking a Machine Learning and Natural Language Processing Data Scientist to contribute to cutting-edge research in the field of health informatics with a focus in pre-trained clinical language models, computable phenotypes in healthcare, health outcomes research, applied machine learning using electronic health record data, and high-throughput information extraction. The Data Scientist will work within the UW Critical Care Medicine (ICU) Data Science Lab and across collaborating sites, whose research focuses on using electronic health record data to improve the care of hospitalized patients. Visit the Data Scientist position description for more information and to apply.

Data Scientist, Biotechnology Center
The Bioinformatics Resource Center (BRC), one of UWBC core facilities, is seeking to add a highly self-motivated individual to their team. This individual will be responsible for working with research personnel to implement bioinformatics and statistical methods for a myriad of project types. This will involve scripting, exploration of parameter selections, summarizing large data in tabular and graphical formats, and providing detailed documentation of all methods used. This individual will work closely with a collaborative group to develop robust workflows that can be efficiently applied to similar projects. Visit the Data Scientist position description for more information and to apply.

Off Campus

Data Curator and GIS Librarian, Washington University in St. Louis
The Data Curator and GIS Librarian serves as a specialist for research data management and data curation, and Libraries liaison for GIS and spatial data. In collaboration with the Data Services team, this position is responsible for instructional programming, collection development, data management, outreach, and research assistance for faculty and student needs with GIS tools and spatial data. The incumbent provides research support services, educational outreach and consultations for GIS, research data management, and data curation to the University community in collaboration with Data Services colleagues and other relevant units in the University Libraries. For more information and to apply, visit the Data Curator and GIS Librarian position description.

Digital Asset Management Analyst, University of Rochester
The River Campus Libraries (RCL) of the University of Rochester (UR) is recruiting for a Digital Asset Management Analyst to help with the management of content in our new digital preservation platform and our emerging institutional repository platform. Applicants familiar with, or with aptitude to learn how to work with, relational databases, large sets of data, process validation, and managing the lifecycle of a variety of data formats/collections are encouraged to apply. This position assists with the development of workflows to acquire, process, ingest, and validate digital assets, and with the development of policies and practices for the long-term management, preservation, and accessibility of digital assets. For more information and to apply, visit the Digital Asset Management Analyst position description.
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