Data Science Updates is the University of Wisconsin-Madison's resource for news, training, events, and professional opportunities in data science, brought to you by the Data Science Institute, powered by American Family Insurance, and the Data Science Hub.
November 15, 2023
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Art Meets AI at Nov. 29 Prompt Battle
Join us for an exhilarating evening of wit, artistry, and prompt engineering at MadPrompts, a live, game-show style competition where contestants use text-to-image software to show off their prompt skills and create captivating, beautiful, and surprising visuals using generative AI tools. This epic prompt battle is set to take place at the heart of UW-Madison's campus in the Discovery Building's Deluca Forum, November 29, 6:00 pm - 8:00 pm.
Tickets are absolutely FREE! Get your tickets ASAP, as seating is limited.
MadPrompts is presented by WARF (Wisconsin Alumni Research Foundation) and DSI (Data Science Institute), in association with the Department of Computer Science! For more information, reach out at lmark@warf.org.
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Faces of Data Science: Pallavi Tiwari
Pallavi Tiwari uses machine learning and artificial intelligence to improve outcomes for brain-related disorders like glioblastoma, a highly aggressive cancer. She leverages these tools to ingest large amounts of data and correlate it to patient outcomes, which could lead to more effective, personalized treatment and better quality of life for patients.
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Data Visualization Workshops
December 6 and 20, The Data Science Hub has two Data Visualization workshops coming up in December! The first is teaches how to quickly create interactive dashboards using a Python library called Streamlit on Dec 6th. The second workshop, scheduled for Dec 20th, teaches the fundamentals of data visualization and requires no previous coding experience. See more and register for either workshop on the Fall 2023 mini-workshop website.
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Data and Software Carpentry Workshops
January 8-11, 9:00 a.m. - 12:30 p.m., The Data Science Hub is hosting an online Ecology Data Carpentry Workshop. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. While this workshop uses ecological data, the skills learned can be applied to many domains. Learn more and register by visiting the workshop page.
January 16-19, 9:00 a.m. - 12:30 p.m., The Data Science Hub is hosting an online Software Carpentry Workshop. Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation using Python. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. Learn more and register by visiting the workshop page.
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Data Science Hub Fall Mini-Workshop Series
Registration is open for the Data Science Hub's Fall 2023 Mini-Workshop Series. The Mini-Workshop Series are one-to-two day workshops throughout the fall covering a range of topics listed below. Register for any and all that you are interested in. Tickets close the Friday before each mini-workshop. To learn more and register, visit the event page.
The remaining two workshops focus on data visualization. Unlock the power of data visualization and interactive web apps with the Streamlit workshop, Interactive Data Visualizations in Python and Streamlit; learn how to make dynamic, user-friendly applications in just a few hours. Attend the Basics of Data Visualization workshop for a language-agnostic introduction of data visualization in the form of charts and graphs.
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| Date |
Workshop |
| December 6 |
Interactive Data Visualizations in Python and Streamlit |
| December 20 |
The Basics of Data Visualization |
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Software Training for Students: STS is Here To Help!
Need to learn a required software for class? Could use some extra guidance with a coding, data, or design project? STS can help! Software Training for Students (STS) is a free service on campus that helps UW-Madison students with their software questions relating to either course projects or personal interests. Their team of student trainers provide assistance with software like R/RStudio, Python, HTML/CSS, Excel, Photoshop, and Illustrator, among many others.
STS can help students at College Library via their:
- STS Office Hours at DesignLab where students can receive 1-on-1 help with assignments and general tech questions
- Workshops scheduled every Monday-Thursday at 5:30pm (Room 2257)
Learn more about STS services and register for workshops at their website.
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Have questions about anything data science-related? Come see the Data Science Hub facilitators at Coding Meetup on Tuesdays and Thursdays from 2:30-4:30 p.m. CT. To join Coding Meetup, join data-science-hubgroup.slack.com.
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BMI Seminar Series: Single-cell and 3D genomics: New methods and applications to Cancer
November 17, 12:00 p.m., Christina Leslie, from the Memorial Sloan-Kettering Cancer Center, will present recent machine learning methods developed in the group for learning sequence-informed embeddings of single-cell chromatin accessibility data (scATAC-seq) and for predicting the Hi-C contact matrix from scATAC-seq alone. Leslie will also describe new collaborative work studying global 3D conformation changes in melanoma due to somatic "cohesinopathy", leading to altered promoter usage at transposable elements. Attend online on Zoom or watch in-person at the Biotech Center Auditorium.
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Why you should be using tidymodels
November 20, 3:30 p.m., The Data Science platform is hosting Simon Couch, a software engineer at Posit PBC where he works on tidymodels, a collection of free and open-source R packages for statistical modeling that offers a consistent and flexible framework for your modeling and machine learning work. Simon will cover six concrete reasons to consider using tidymodels. Along the way, he’ll demo the framework through an applied modeling problem and share resources to help move you forward in your modeling journey, whether you’re just now starting your machine learning journey or an experienced modeler.
Attend online on Zoom, or at the live in-person watch party at Computer Science 3139 A-B-C, on Monday, November 20th 2023 at 3:30 pm. Register and learn more at the event page.
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SILO Seminar Series
Wednesdays, Join the Systems, Information, Learning, and Optimization (SILO) seminar Wednesdays at 12:30pm. These seminars are held in hybrid mode, where you can attend either in person at the Discovery Building (with pizza!) or via Zoom. For more information visit the SILO website, where you can join their mailing list and receive sign up information for in-person seminars and Zoom links.
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EVIL Reading Group
December 1, 12:00 p.m. - 1:00 p.m., The Ethics, Values, Information, and Law (EVIL) reading group pursues scholarship in the intersections of ethics, law, and data and information technologies. The EVIL Reading group meets every three weeks (roughly), Fridays, online, and is hosted in collaboration with the iSchool and ML+X. This meeting discusses “ Public AI Training Datasets Are Rife With Licensing Errors." Learn more about the community and how to attend the meeting at their website.
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phy-lunch
Thursdays, 12:00 p.m. - 12:30 p.m., Sungsik (Kevin) Kong, a postdoc working with Claudia Solis Lemus, is organizing phy-lunch for the Fall semester in 1111 Biotech, which will be an opportunity for students and postdocs to informally meet and discuss phylogenetic topics and feel comfortable asking “basic” questions. If you’re interested in learning more, search for the group “phy-lunch” in Google groups (need to login with wisc account) and request to join.
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The Carpentries is seeking new members to bring additional diversity and expertise into its instructional community. Among other benefits, members have opportunities to advance their technical and teaching skills by attending computational workshops and participating in an optional instructor training program. Join the google group if interested in learning more!
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PROFESSIONAL
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Sustainability Analyst
The UW-Madison Office of Sustainability is looking for a Sustainability Analyst. The Sustainability Analyst will work closely with the campus and community to coordinate and report UW-Madison's campus sustainability information through the numerous reporting, rating, and commitment frameworks used at the state, national and international level for benchmarking and promoting sustainability in higher education. Through strong data analysis this position will advise and support opportunities to advance the mission of the Office of Sustainability. Learn more about the position and apply by November 29th at the job posting.
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Postdoctoral Research Associate – Computational Biology
The Stewart laboratory is recruiting a postdoctoral researcher to develop novel computational data analysis tools and apply them to large biomedical datasets. This position involves the integration of multiple data types, including but not limited to: RNA-seq (bulk, single-cell, spatial), ATAC-seq, and large text datasets such as PubMed or patents. The goal is to provide further supporting evidence for existing hypotheses and to generate new hypotheses, identifying new areas of exploration for wet lab collaborators in biomedicine.. Learn more about the position and apply at the job posting.
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DATA VISUALIZATION OF THE WEEK
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Reposted from the Data Science Community Newsletter, an Academic Data Science Alliance project.
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The Academic Data Science Alliance (ADSA) is a network of academic data science practitioners, educators, and leaders, and academic-adjacent colleagues, who thoughtfully integrate data science best practices in higher education. UW-Madison is a founding member of ADSA.
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Data Science Updates is a collaborative effort of the Data Science Institute and Data Science Hub.
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