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Duke's department of English invites you to Poetry and Emerging Technologies -- a part of the department's Creative Writing series. This event features poet Lillian-Yvonne Bertram -- Associate Professor of English at the University of Maryland -- and Duke Computer Science Professor Cynthia Rudin.

Lillian-Yvonne Bertram is an African American writer, poet, artist, and educator who works at the intersection of computation, AI, race, and gender. They are the author of Travesty Generator (Noemi Press), a book of computational poetry that received the Poetry Society of America's 2020 Anna Rabinowitz prize for interdisciplinary work and was longlisted for the 2020 National Book Award for Poetry. 

The event is co-sponsored by Duke English, the George Lucaci Endowment, the Duke Initiative for Science & Society, and the National Humanities Center Responsible AI Curriculum Design Project.

Read the complete event details. No registration required.

This seminar, presented by Silvio Amir, Ph.D., Assistant Professor of Computer Science at Northeastern University, discusses the opportunities and challenges of using LLMs in healthcare contexts with a particular emphasis on the impacts on health disparities. The talk will be held at Trent Semans Great Hall on Monday, April 8 from 4 - 5 p.m.

The US Healthcare system is fraught with disparities and inequities caused by the differences in who gets access to healthcare and the kinds of treatments and quality of care they receive. While machine learning and human language technologies hold tremendous potential to optimize healthcare processes and practices, models trained on biased data increase the risk of perpetuating and amplifying existing health disparities. These issues may be exacerbated by Large Language Models (LLMs) which are known to encode harmful social biases and stereotypes with implications for algorithmic fairness.

The Datathon is a collaborative two-day event that connects critical care clinicians with data scientists to develop pragmatic data-driven models using de-identified critical care electronic health record datasets. No experience required.

The event will be held at 311 Trent Dr. in the Duke Health Center for Interprofessional Education Building. Read more about the event and register. Questions? Contact Ian Wong, M.D., Ph.D.

Upcoming April workshops
See all Co-Lab learning opportunities on Pathways. The following workshops are held at the Technology Engagement Center (TEC) on West Campus.

GitHub Pages

Wed., April 3, 10am - 12pm

Preparing a Web Project
Tues., April 16,, 10am - 12pm

Flask Family Feud

Wed., April 17, 1:30 - 3:30pm

Featured April workshop  (See all workshops)

Pizza and Data Publishing

Thu, April 11, 11:30am - 12:30pm (in person)

Bring your data and get started with the Duke Research Data Repository! Join us in-person to learn more about the Duke Research Data Repository, an open access platform that helps Duke researchers share their data with the world! Bring a dataset, enjoy some pizza, and get started preparing a dataset for sharing. Curators will provided a brief overview of the RDR and then be available to answer questions as people get ready to publish a dataset. Registration required.

In this seminar, Michael Pencina, Ph.D. will examine the ongoing revolution in health data science and the application of artificial intelligence (AI) tools in medicine. Dr. Pencina serves as Chief Data Scientist for Duke Health, Vice Dean for Data Science, Director of Duke AI Health, and Professor of Biostatistics and Bioinformatics for the Duke University School of Medicine. He will trace the evolution of increasingly sophisticated AI-powered technologies being leveraged for patient care and clinical research and describe the challenges and opportunities they present. The seminar will focus on the urgent need for robust oversight of health AI tools through their entire technology lifecycle from development through validation and deployment.

Registration is required.

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