2024 WID Symposium
Discovery Building 330 North Orchard Street, Madison, WI, United StatesAnnual Symposium for Wisconsin Institute for Discovery resident working groups and affiliates. Portions open to the public.The WID 2024 Symposium, scheduled for November 13th at the Discovery Building, is a day-long event dedicated to the exploration of change in complex systems in digital and natural environments. This gathering serves as an opportunity for researchers at every career stage, to showcase their ongoing work, foster relationships, strengthen WID’s internal network, and promote collaboration in pursuit of our interdisciplinary research goals.The event will include breakfast, lightning talks, Wiley Award ceremony, lunch/workshop, poster session, music, and a celebratory reception to acknowledge our collective achievements. [...]
WID Symposium Public Expo
Discovery Building 330 North Orchard Street, Madison, WI, United StatesData Science Hub Fall 2024 Mini-workshop series
A series of 4 computational workshops on various topics
Intro to Machine Learning
An introduction to machine learning in python using sklearn URL: https://uw-madison-datascience.github.io/2024-09-25-uwmadison-mini/
Intro to Machine Learning
An introduction to machine learning in python using sklearn URL: https://uw-madison-datascience.github.io/2024-09-25-uwmadison-mini/
Crossroads of Ideas: Growing Without Gravity
Discovery Building 330 North Orchard Street, Madison, WI, United StatesCan plants thrive amid the zero-gravity chaos of space? Could the stars themselves hold the recipe for life? Join Crossroads to find out!Ready to leave Earthly bounds behind? Join us for an absolutely out-of-this-world Crossroads of Ideas, where astrobiology and astrochemistry come together in cosmic fashion! Plant biologist Dr. Simon Gilroy and astrochemist Dr. Susanna Widicus Weaver are your guides for an evening of star-studded discovery, diving into everything from the surprising resilience of plants in space to the chemistry that could hint at life beyond our planet. Moderated by Eric Wilcots, this event will tackle cosmic questions like: How do [...]
A Fireside Chat with American Family Insurance, Data Science Team
1240 Computer SciencesAmFam is coming to campus!. AI@UW is hosting an exciting Fireside Chat with 5 guest speakers from American Family Insurance. This event is open to all students interested in data science, AI, and career insights from industry professionals. What: Fireside Chat with AmFam – Explore AI & Data Science Careers Guest speakers Zachary Rottier | Enterprise Data Science Director Jason Giesler | Senior Data Science Manager Kevin D Burke | Lead Data Scientist Olson Pokie | Data Science Manager Tekin Ender | Principal Data Scientist CONTACT: 425-766-7355, debojp@wisc.edu URL: https://forms.gle/BvpuDYLWqZJSDXAb6
SoundWaves: Developing Ideas, Part 2
Discovery Building 330 North Orchard Street, Madison, WI, United StatesExplore how trends, plans, viewpoints, projects, materials, and sounds develop. Where we are and where we might be headed in the future.How do babies develop language? How are new drugs developed? How did we go from no universe to the universe we know and love? And how does cancer develop in our bodies? How does a musician write a piece of music for himself to play? Find out as SoundWaves continues its yearlong exploration of Development: where are we now, how did we get here, and where might we go?SoundWaves combines scientific lectures about the world with live classical music performances. [...]
WID Seminar Series
3rd Floor Orchard View Room, Discovery Building (Also offered online)Discovering simplicity in complex systems at the intersection of digital and natural worlds. ONLINE: https://uwmadison.zoom.us/j/96326864622
Trustworthy AI
https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/This lesson equips participants with trustworthy AI/ML practices, emphasizing fairness, explainability, reproducibility, accountability, and safety across three general data/model modalities: structured data (tabular), natural language processing (NLP), and computer vision. Participants will learn to evaluate and enhance the trustworthiness and reliability of models in each modality. Additionally, they will explore how to integrate these principles into future models, bridging ethical practices with practical applications in their research.This is a pilot workshop, testing out a lesson that is still under development. The lesson authors would appreciate any feedback you can give them about the lesson content and suggestions for how it could [...]
Trustworthy AI
Learn Responsible Machine Learning Practices. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/
Crossroads of Ideas: Communicating through Creativity
Discovery Building 330 North Orchard Street, Madison, WI, United StatesExplore how art and science intersect as experts reveal creative ways to deepen our understanding of culture, justice, and science!Join us for Crossroads of Ideas: Communicating through Creativity, a dynamic fireside chat that explores the intersection of art and science in shaping perspectives and values. Featuring Nan Li, an expert in science communication who leverages art to inform and influence public opinion; Casey Fletcher, who focuses on culture, justice, and diversity through creative expression; and mural artist Sonya Sankaran, who bridges the gap by using art as a medium to illuminate scientific concepts. Together, they’ll dive into how creative approaches can [...]
Trustworthy AI
Learn Responsible Machine Learning Practices. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/
ML+X Forum: Applied Machine Learning
Orchard View Room, Discovery Building (Also offered online)Machine Learning Beyond Traditional CS Fields. CONTACT: endemann@wisc.edu ONLINE: https://uwmadison.zoom.us/j/92639425571?pwd=Z0tCaWZxK0dDcWs2dm51dXZpcy9mQT09
ML+Coffee
Discovery Building 330 North Orchard Street, Madison, WI, United StatesMachine Learning Community Event. CONTACT: endemann@wisc.edu
