Lucy Family Institute for Data & Society

Fanny Ye, Associate Director of Applied Analytics for Lucy Family Institute for Data & Society and Galassi Family Collegiate Professor in Computer Science and Engineering at the University of Notre Dame is fighting for families impacted by the #opioidcrisis. Ye's work focuses on #AI, machine learning, data mining, cybersecurity, and public health, all of which she is applying to dismantle online opioid trafficking and misuse. Recently, Ye received an award from the National Science Foundation (NSF) to use large-scale #socialmedia data generated from young adults to develop a messaging platform tailored to individual risks and community contexts aiming to promote community resilience against opioid misuse and addiction. Read more about her current research here: https://lnkd.in/gmub_w6K Her work is featured in the University’s award-winning “What Would You Fight For?” series: https://lnkd.in/gZh4JZdj #WhatWouldYouFightFor

The University of Notre Dame's Lucy Family Institute for Data & Society has appointed Kay Firth-Butterfield as a visiting scholar! Firth-Butterfield's expertise focuses on the responsible and inclusive development and deployment of #AI across diverse applications and use cases. She is collaborating with Notre Dame faculty including Nitesh Chawla, founding director of the Lucy Family Institute for Data & Society, and Olaf Wiest, the Grace-Rupley Professor of Chemistry and Biochemistry to consider responsible policies for AI deployment across disciplines. Read more here: https://lnkd.in/gNAxt8vZ

⏳ It's not too late to register! All University of Notre Dame and Saint Mary's College undergraduates are invited to participate in the Health Equity Data Science Challenge! Hosted by the Lucy Family Institute for Data & Society and the Berthiaume Institute for Precision Health, the Health Equity Data Science Challenge is an opportunity for student teams to tackle an interesting, data-driven question related to health equity. The deadline to register is October 4, 2024. For more information, and to listen to the recorded information session, please visit: https://lnkd.in/gKx32am7

💡 We're ready! Are you? Join the University of Notre Dame Alumni Association on ThinkND at 7:00 pm ET TOMORROW, Wednesday, September 25 for a deep dive into the future of #AI. Register here---->https://lnkd.in/gV4_EMcw

Learn more about the Health Equity Data Science Challenge at an upcoming virtual info session this Friday, September 20 at 1:00pm! For more information and to register, please visit: https://lnkd.in/gdP9eYeg

🗓 Mark your calendars! On September 25, join the University of Notre Dame’s Alumni Association and ThinkND for a special virtual series, "Game Changers: Inspiration and Expertise to Elevate Your Game for Good, powered by IrishCompass." The series will feature #AI innovator & founding director of the Lucy Family Institute for Data & Society, Nitesh Chawla, as he shares his expertise in using technology to advance the common good. To learn more and register, please visit: https://lnkd.in/gjfrupFC

As researchers decode what they can about the present state of AI, they must also focus on what's to come. To share insights on the path forward, an esteemed group of experts will gather for an upcoming “Game Changers” event — the first installment in a new virtual series from the Alumni Association and Irish Compass. With prompts and guidance from moderator Jeff Rhoads — Vice President for Research — these thought leaders will consider a variety of potential risks, opportunities, and ethical implications. Don't miss the chance to hear firsthand from Nitesh Chawla, Nick Fehring, Thom Kenny, and Yong Suk Lee. Register to join us online at 7 pm ET on Wednesday, September 25: https://lnkd.in/eAdp6URQ

Check it out! The Lucy Family Institute for Data & Society's Nuno Moniz was recently featured for his expertise in artificial intelligence (AI) by Diario da Lagoa, an Azorean newspaper. Moniz, an associate research professor at The Lucy Family Institute, is the director of the Notre Dame-IBM Tech Ethics Lab and the Associate Director of the Data, Inference, Analytics, and Learning (DIAL) Lab. Read the article (originally in Portuguese, but available with English translation) here: https://lnkd.in/gQvjbxdA

Researchers at the University of Notre Dame have received a $1.5 million grant from the US National Science Foundation (NSF) to develop a new artificial intelligence (#AI) driven paradigm leveraging social media data to provide insights into personalized interventions for reducing teen and young adult opioid misuse and death. “Opioid overdose deaths have continued to increase across the country; specifically, TYAs are disproportionately affected by and particularly vulnerable to misuse and addiction. Parents of at-risk teens who have been impacted by the opioid epidemic frequently contact me to share their stories,” said Yanfang (Fanny) Ye, the Galassi Family Collegiate Professor in Computer Science and Engineering and Associate Director of Applied Analytics for the Lucy Family Institute for Data & Society. Ye, who leads the project, has conducted multiple projects to combat the opioid epidemic through AI innovation. In 2023, her work was broadcast on NBC as part of the University’s award-winning “What Would You Fight For?” series, which showcases the work, scholarly achievements, and global impact of Notre Dame faculty, students and alumni. Read more here: https://lnkd.in/gmub_w6K Notre Dame Research #opioidcrisis #artificialintelligence #socialmedia

📊💻 Calling all University of Notre Dame and Saint Mary's College undergraduates: Put your data science skills to the test! Join us on September 20 at 1:00pm for an info session about the upcoming Health Equity Data Science Challenge. Hosted by the Lucy Family Institute for Data & Society and the Berthiaume Institute for Precision Health, the Health Equity Data Challenge is an opportunity for student teams to tackle an interesting, data-driven question related to health equity. To learn more and register for the session, please visit: https://lnkd.in/ghjNqGsq