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

If you have feedback on the new format or suggestions for other news, events, and opportunities to include, send us an email at

Have questions about anything data science-related? Come see us at Coding Meetup on Tuesdays and Thursdays from 2:30-4:30 p.m. CT. To join Coding Meetup, join

March 23, 2022

Illuminating Connections will highlight the bridges being built across campus by the Wisconsin Institute for Discovery, the groundbreaking science happening at UW-Madison, and the future of interdisciplinary inquiry. Participants will discuss their research, projects, and other creative work in an expo- style poster session. Projects fall into categories ranging from data science, complex systems, precision medicine, emerging technologies, science policy and art-science fusion. This event is free and open to the public. Register here by March 31st.

Upcoming Trainings & Workshops

Learn to teach Technical Skills - Carpentries Instructor Training
The next UW-Madison Carpentries Instructor Training will be April 11-14 from 9am-1pm. Carpentries Instructor Training aims to:
  • Introduce evidence-based teaching practices
  • Teach how to create a positive environment for learners at your workshops
  • Provide opportunities to practice and build teaching skills
  • Share more about the Carpentries community, particularly the UW-Madison Carpentries Community
  • Prepare individuals to use these teaching skills in teaching technical workshops or other courses
Please apply by April 1st if you are interested in becoming a certified Carpentries instructor or learning how to improve your own computational teaching skills. Questions should be addressed to

Introduction to Deep Learning with Keras, Data Science Hub
The use of deep learning has seen a sharp increase of popularity and applicability over the last decade. While deep learning can be a useful tool for researchers from a wide range of domains, taking the first steps in the world of deep learning can be somewhat intimidating. This introduction aims to cover the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. To learn more information and to register, visit the workshop website.
  • April 21st, 9:00 a.m.-3:30 p.m., Orchard View Room, Discovery Building
  • April 22nd, 9:00 a.m.-12:30 p.m., Orchard View Room, Discovery Building

Upcoming Seminars & Events

SILO Seminar Series
This semester there will be hybrid seminars, with both in-person and virtual (Zoom) participation. The number of in-person attendees will be limited to 20 people, selected at random. In-person attendance will be notified the Tuesday around 10 p.m. before each SILO, and all others may participate via Zoom.
  • March 30th, 12:30 p.m., TBA with Yong Jae Lee
  • April 6th, 12:30 p.m., TBA with Jessi Cisewski-Kehe
Responsible AI in Healthcare, Chicago Booth
April 4th-5th, The Center For Applied Artificial Intelligence at Chicago Booth (CAAI) is excited to host this virtual annual conference to further efforts toward combating algorithmic bias across domains. This year, they are focusing on the healthcare industry, and along with the Healthcare Initiative at Chicago Booth, will bring together healthcare professionals in industry and policy to advance the conversation around mitigating algorithmic bias to improve health outcomes. For more information and to register, visit this site.

Data Science is on its Feet, Now Where is it Going?, RED Talk
April 7th, 4:00 p.m., Join the CDIS Red Talk featuring Kyle Cramner, director of the UW-Madison American Family Insurance Data Science Institute. Cranmer will talk about the collision of computational and statistical methodologies with real-world problems. Register here.

ML+X Lightning Talks – ML Community
The ML Community seeks volunteers to present at next month's ML+X event on Tuesday, April 12th, 12-1PM (Zoom and in-person — Orchard View Room, Discovery Building). Anyone working with ML methods (classification, regression, clustering, NLP, etc.) is encouraged to present — especially those who are just getting started with ML. Talks are presented in the form of 12-minute lightning talks focused on summarizing a specific ML use-case, methods employed, and challenges encountered. If interested, please fill out this short google form. 

Student Opportunities

ACM SIGHPC Computational and Data Science Fellowships, SIGHPC
ACM SIGHPC has created the Computational and Data Science Fellowships, a continuation of the program started with Intel to increase the diversity of students pursuing graduate degrees in data science and computational science. Specifically targeted at women or students from racial/ethnic backgrounds that have not traditionally participated in the computing field, the program is open to students pursuing degrees at institutions anywhere in the world. For more information, visit this site.

Kaggle Competition, The Data Science Club
The Data Science Club is hosting UW-Madison's first Kaggle competition! Compete and implement machine learning and data science algorithms to perform prediction and analysis. Winner receives $100! We extended the deadline to March 26th and decisions will be shared on March 30th at 6:30 PM! To access the competition, visit this site.

CDIS: Senior Panel Internships, Jobs, and Experiences, SuccessWorks
April 6th, 5:00 p.m., Come learn from a panel of current seniors with CDIS majors (Computer Sciences, Data Science, Statistics) as they share their experiences, advice, and recommendations for career planning! These senior students have a variety of career experiences during their time at UW-Madison, including internships, jobs, student orgs, and more – find out what they’ve found most valuable and how they’ve found success. Register here.

Student Hourly Position, Department of Political Science
Professor Rikhil Bhavnani in the Political Science department is seeking a student hourly to help with a project on the efficiency of India's judiciary. The student will be responsible for data scraping, cleaning and preparation using a Python script. Prior experience with Python and/or some familiarity with web scraping using Selenium would be helpful. All tasks can be completed remotely. For more information and to apply, please write to

Professional Opportunities


On Campus

Volcat Software Engineer, Space Science and Engineering Center
To understand our world and the universe, the Space Science and Engineering Center (SSEC) develops, deploys and supports instrumentation and software systems for research purposes across the world and beyond! SSEC's history of developing a diverse set of instruments ranges from the first weather satellite, to aircraft instruments monitoring the atmosphere, and to ground based atmospheric observing instrumentation. The challenge of operating research systems, in these environments, requires a broad set of disciplines and skills from the team of people involved. For more information and to apply, visit this site.

Off Campus

Emerging Leaders in Data Science Fellowship, National Institutes of Health
NIAID is the largest funder of infectious and immune-mediated disease research, and globally the institute is playing a major role in responding to disease outbreaks and pandemics. NIAID aims to advance data science to efficiently use large-scale and complex data for new scientific insights. Training is an essential part of data science, and NIAID has established the Emerging Leaders in Data Science Fellowship Program to develop a cadre of talented data scientists to advance research in infectious and immune-mediated diseases. Apply by March 25.

Data Librarian, University of Rochester
As part of the Research Initiatives team, the Data Librarian will collaborate across library and institutional units to launch and operationalize a campus-wide data support program. The incumbent will develop a deep understanding of the existing and emerging data needs of University researchers and, through strategic collaborations, leverage that knowledge to create sustainable and responsive services and programs to support data use across the research lifecycle. The successful candidate will also apply their domain expertise to support library data governance initiatives, and contribute to institutional efforts to create a common data culture at the University. For more information and to apply, visit this site.

Digital Humanities Software Developer, Cardiff University
The Digital Humanities Software Developer will work as part of a cross disciplinary international research team led by Professor Julia Thomas and Professors Omer Rana and Paul Rosin to provide software development support to a new digital humanities project funded by the New Directions for Digital Scholarship in Cultural Institutions. The project, “Finding a place: advancing digital methods to unlock the use of digitized book illustrations in cultural institutions”, is a collaboration between Cardiff University, University of Wyoming’s American Heritage Center, Buffalo Bill Center of the West, Lambeth Palace Library and the National Trust. For more information and to apply, visit this site.
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