Data Science Institute Announces First Cohort of Affiliates
The American Family Insurance Data Science Institute (DSI) is honored to announce its inaugural cohort of affiliates. DSI Affiliates are UW–Madison faculty and academic staff from across campus who are actively engaged in foundational or use-inspired research, aligned with the DSI mission and vision, that is relevant to data science. Affiliates contribute to DSI research and operations, and they have access to DSI facilities and other resources. Learn more about the DSI Affiliates program on the data science @ uw website, and read in-depth profiles of the affiliates at the data science @ uw Community Map.
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Scientific Computing with Python Conference, SciPy 2023
SciPy 2023, Scientific Computing with Python Conference, will be in Austin, TX on July 10-16. SciPy is a community dedicated to the advancement of scientific computing through open source Python software for mathematics, science, and engineering. The annual SciPy Conference allows participants from all types of organizations to showcase their latest projects, learn from skilled users and developers, and collaborate on code development. The full program will consist of two days of tutorials followed by three days of presentations, and concludes with two days of developer sprints on projects of interest to attendees. To learn more about the conference and to register, visit the SciPy 2023 event webpage.
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Sündüz Keleş has been made Fellow of the American Statistical Association
Sündüz Keleş has been made Fellow of the American Statistical Association "for important contributions to methods for the analysis of high-dimensional data, including results from ChiP sequencing and partial regression, and for service to the profession." She will receive her award this summer at the JSM meetings.
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Introduction to R
May 9, 9:00 a.m. to 12:00 p.m., The Social Science Computing Cooperative will be hosting a workshop on the basics of the programming language R. Participants can expect a quick introduction to the basics of R using RStudio as well as:
- An overview of the user interface
- Running scripts and evaluating expressions
- Data objects, and functions
- Saving your work
- Using help/learning more
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Health Sciences Data Carpentry
May 15-18, 9:00 a.m. to 12:30 p.m., The Data Science Hub will be hosting a workshop during the month of May. 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. For more information and to register, visit the Health Sciences Data Carpentry workshop page.
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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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End-to-End Workflows with Posit Team
April 26, 10:00 a.m. to 11:00 a.m., During the session, the Posit team will walk through an end-to-end data science workflow and demo the core functionality of Posit Team while highlighting some of the latest features! While each session's content will vary slightly, here are a few core topics that will addressed each month:
- Open Source Analytics: The future of data science is open source. We'll discuss methods for leveraging open-source tools and packages in a secure and scalable way!
- Deployment: How to share the amazing data science assets your Team has built, including web applications, machine learning models, APIs, and more!
- Data Access: Data comes in various forms and is stored in various ways. We'll discuss best practices for accessing, reading, and writing data!
- Job Scheduling: Do you have recurring data science jobs? We'll show you how to automate these processes using Posit Connect.
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SILO Seminar Series
Wednesdays, 12:30 p.m., 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. Visit the SILO webpage for information about their upcoming talks.
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Chat GPT and the Mind
April 20, 6:00 p.m., Mosse Humanities Building, Room 2650, Wisconsin AI Safety Initiative (WAISI) is hosting Dr. Gary Lupyan — cognitive scientist and UW professor of psychology — to discuss what the successes (and failures) of generative AI can tell us about the human mind, intelligence, and possible futures of human-machine interaction. Those wishing to attend must RSVP via this Google Form.
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Tech Evolution in Early Stages of a Startup
April 26, 6:30 p.m. to 8:30 p.m., Madison Public Library - Central, This presentation will cover practices that have been conducted at Fetch when they had limited runway and a completely different set of engineers. Startups are not fortunate to have the budgets that other companies may have, so how can workers best capitalize on the resources that they do have and ensure the company can scale. This event will feature Heidi Wagner, who is currently the VP of GSD and have been with Fetch for 8.5 years. For more information, visit the Tech Evolution calendar invite.
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Geospatial Data Science Talk hosted by dotData
April 19, 6:00 p.m., Computer Sciences 1240, dotData will be hosting a talk on "Exploring the World of Geospatial Data Science," featuring Professor Song Gao, Department of Geography, Faculty Affiliates of Data Science Institute, UW-Madison.
Abstract: Geospatial data about the Earth environment and society are captured by millions of environmental and human sensors in a variety of formats such as remote sensing imageries, crowdsourced maps, geotagged videos and photos, transportation smart card transactions, mobile phone data, social media content, and GPS trajectories. In this mini-workshop/presentation, I will share the popular geospatial data formats and general workflow for collecting, processing, analyzing, and visualizing geospatial datasets using open-source Python packages.
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Compensation and Benefits Assistant
Due April 28, The University of Wisconsin System, a premier system of public higher education, educates approximately 161,000 students each year and employs about 35,000 faculty and staff statewide. With 13 universities across 26 campuses and a statewide extension network with offices in every county, the UW System is a tremendous academic, cultural, and economic resource for Wisconsin, the nation, and the world. The UW System Administration is looking for a student whose position will be shared between compensation and benefits units to support various data entry, data analysis, and communications projects. Tasks will be varied and will require critical thinking skills, attention to detail, and creative writing skills. For more information and to apply, visit the Assistant position description.
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PROFESSIONAL
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Data and Analytics Director
Due April 24, WisDems is nationally recognized as one of the country’s highest-performing and most pivotal political organizations. During the 2023-24 cycle, WisDems will drive massive programs to defend the Democratic majority in the United States Senate by re-electing Senator Tammy Baldwin, elect progressive candidates up and down the ballot, and work to build volunteer-led coalitions for the long term. The Democratic Party of Wisconsin seeks an intelligent, personable, organized, self-starting individual to lead the data team on a full-time, permanent basis. The Data and Analytics Director will play a leadership role at the party, helping to grow the data team, informing DPW’s electoral strategy work, partnering with other departments to execute projects, and using data to ensure DPW’s work leverages our resources effectively and reflects DPW’s values. For more information and to apply, visit the Data and Analytics Director position description.
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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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