Data as Art. Runs through September 2023. Examining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives. CONTACT: ahanus2@wisc.edu
Data as Art. Runs through September 2023. Examining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives. CONTACT: ahanus2@wisc.edu
Data as Art. Runs through September 2023. Examining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives. CONTACT: ahanus2@wisc.edu
Data as Art. Runs through September 2023. Examining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives. CONTACT: ahanus2@wisc.edu
Data as Art. Runs through September 2023. Examining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives. CONTACT: ahanus2@wisc.edu
Examining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.
Coding Support for Researchers. Researchers are encouraged to come to Coding Meetup to ask questions about new computational tools, how to apply coding tools in research, how to troubleshoot coding bugs, or anything else related to data or code. CONTACT: facilitator@datascience.wisc.edu URL: https://datascience.wisc.edu/hub/#dropin ONLINE: https://datascience.wisc.edu/hub/#dropin
Examining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.
Examining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.
Examining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.
Open Language Table for Indigenous Languages. Most Wednesdays on the first floor of the Discovery Building and hosted by the Wisconsin Institute for Discovery ID Hub in Room 1145. A Indigenous Language Table is designed to enable language learners to develop spoken language skills outside of the classroom setting, build …
Examining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.
Coding Support for Researchers. Researchers are encouraged to come to Coding Meetup to ask questions about new computational tools, how to apply coding tools in research, how to troubleshoot coding bugs, or anything else related to data or code. CONTACT: facilitator@datascience.wisc.edu URL: https://datascience.wisc.edu/hub/#dropin ONLINE: https://datascience.wisc.edu/hub/#dropin
Examining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.
An introduction to machine learning. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2023-09-13-uwmadison-mini/
