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.
July 26, 2023
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High Dimensional Data Analysis Workshop
August 14-16, 9:00 a.m. - 12:30 p.m., The High Dimensional Data Analysis workshop enables researchers to find patterns and extract insights from the complex and information-rich data found in high dimensional datasets. In this workshop, participants will explore several tried and true methods that can help data analysts better understand their high dimensional data including: principal component analysis, data visualization, and regularized multivariate regression. Learn more and register at the event page.
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Faces of Data Science
Kaibo Liu, UW–Madison professor of industrial and systems engineering, uses data science to develop practical systems and solutions for manufacturing, health care, energy, defense, and other applications. His research focuses on designing data acquisition systems, developing methodologies to analyze and utilize data, and applying these methods to identify root causes and make smart future degradation predictions and decisions. Read his story in Faces of Data Science.
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Data Science Institute Participates in Field Course for Native Students
This summer, Lac Courte Oreilles Ojibwe University hosted LA 360: Indigenous Field-Based Learning for Land Stewardship, a weeklong field course that interweaves Native history and culture with science education. The course was planned and taught by faculty and staff from LCOOU, College of Menominee Nation, and the UW–Madison Department of Forest and Wildlife Ecology, Data Science Institute, and Earth Partnership. Next summer’s field course will be held at UW–Madison.
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In the News
Congratulations to Kaiping Chen, Data Science Institute affiliate and assistant professor of life sciences communication, on receiving the 2023 Lillian Lodge Kopenhaver Early Career Women-Scholar Award. The award recognizes outstanding scholarship and the unique strengths of women in communication and media. Read more about her receiving this award at the ECALS article.
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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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Exploring Artificial Intelligence at UW-Madison
July 28, 9:15 a.m. - 10:00 a.m., Laura Albert, UW–Madison professor and the David H. Gustafson Chair of Industrial & Systems Engineering, will present this Friday’s Exploring AI @ UW-Madison webinar: AI in Action: Intelligent Systems and Business Operations. Next Friday (August 4), Gina Guillaume-Joseph and Dan Wesley, from Workday, will be speaking (topic TBA). Webinars are from 9:15 a.m. -10 a.m, and the Zoom link is available at the event page.
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Summer SILO Series
Thursdays, Join the Systems Information Learning Optimization (SILO) group every Thursday at the Memorial Union at 3:00 p.m. for guest speakers. Previous topics include Partial Optimality in Cubic Correlation Clustering and Challenges and Progress towards Socially Responsible NLP. Both virtual and in-person options available. For more information visit the SILO website and mailing list.
July 27 (Rescheduled), 4:00 p.m., Memorial Union, Hear from Fred Sala on "How to Aggregate Your Large Language Model Objects." The abstract for the talk is: "One exciting aspect of large pretrained models is that it is easy to obtain multiple observations by repeatedly querying: vary your prompt, ask the model to think 'step-by-step' in a few different ways, etc. The resulting objects can be diverse: predictions, generated outputs, 'thoughts' and thought chains, trees, etc. How do we aggregate these reliably? I'll describe a set of technical approaches that enable us to do so based on our work in weak supervision."
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IEEE International Conference on Computational Photography
July 28-30, Monona Terrace, Madison is hosting the International Conference on Computational Photography (ICCP) this year. ICCP, over the past 15 years, has evolved into a highly interdisciplinary venue for presenting novel imaging technologies - with presence from various communities including imaging, optics, computer vision, and graphics. Beyond the technical papers program, the conference will feature several sessions with speakers from many diverse backgrounds (including several UW colleagues), and three exciting keynote talks. Learn more information about the conference at the conference website.
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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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Data Scientist
Due July 27, The Betthauser Neuroimaging Lab is seeking a highly motivated individual to join our rapidly growing team as a Data Scientist to support a 5-year federally-funded R01 project examining multi-cohort factors that influence Alzheimer's disease biomarker and dementia timing using existing data. This data scientist will work directly with Dr. Terry Betthauser, staff, and students, and will play an integral role in intaking, organizing, and curating mid- to large (2,000-10,000 participants) multi-cohort datasets containing a variety of variables (e.g., imaging and fluid biomarkers, cognitive assessments, demographics, and associated data) to facilitate aging and dementia research in the Betthauser Lab. Learn more about the position from its job posting.
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DATA VISUALIZATION OF THE WEEK
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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.
Use our submission form to send us your news, events, opportunities and data visualizations for future issues.
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