Mar 3, 2023
Hosted by the Data Just Lab at Texas A&M University, Exploring AI & Data Science’s Impact on Society Consortium will include lectures by professionals and academics from across Texas, as well as a workshop that leads participants through AI & Data Science.
Bio
Dr. Tuan Amith, School of Information Science, University of North Texas
Topic: Developing an ontology model to link concepts related to culture, race, ethnicity, and national identity with health data (10:10am-10:45am)
Video link: https://youtu.be/_zm9Ol06ESM
Dr. Ruihong Huang, Yuanyuan Lei, Department of Computer Science and Engineering, TAMU
Topic: Sentence-level Media Bias Analysis Informed by Discourse Structures (10:45am-11:20am)
Video link: https://youtu.be/DGowwDiRex4
Dr. Yunkang Yang, Department of Communication & Journalism, TAMU
Topic: Studying visual misinformation in the age of big data (11:20am-11:55am)
Video link: https://youtu.be/gGr32DurnTA
Jeremy Zunker, Operator Foundation
Topic: Hardware and Data Justice - Technology and information is only as valuable as the trust you put into it (1:00pm-2:00pm)
Video link: https://youtu.be/fe-_xGXk7J8
Dr. Tina Lopez, City of San Antonip
Topic: Free Public Health Data for your hometown! (2:00pm-3:00pm)
Video link: https://youtu.be/2RJcMlby7_U
Abstract
The idea of this one day consortium is to bring together AI academics, professionals and students together and create a reciprocal environment where the participants share their experiences with AI and Data Science. For the professionals they will share their work and approaches to the field. Academics will share their research and projects. Students will share their lived reality with AI and Data Science, socially, culturally and academically.
The consortiums mission is to:
• Provide a public facing facilitative dialog between researchers, professionals and students.
• Give students direct experiences with AI & Data Science issues in terms of social justice and advocacy.
• Create an opportunity for ideating new initiatives.
Date: March 3rd, 2023
Time: 10am - 3pm (Lunch Provided)
Location: Rudder 501 (Zoom: Meeting ID 974 9914 1665: Passcode 250533)
Registration: Please RSVP through this link:
https://docs.google.com/forms/d/e/1FAIpQLSfc9yjUJSu9uv01ghT8NGFYQgXFWuNr9lMqA7d6Xq8bdY2coA/viewform
Contact: Lu Tang (ltang@tamu.edu)