November 15, 2023

lucyinstitute.nd.edu

The Lucy Institute’s Matthew Hauenstein appointed assistant research professor within Center for Social Science Research

The Lucy Family Institute for Data & Society is pleased to announce the appointment of Matthew Hauenstein, Ph.D., as assistant research professor within the Lucy Institute and as part of the Center for Social Science Research (CSSR). Hauenstein’s research focuses on applying statistical and data science techniques to answer fundamental questions in civil and international conflict and security.

Prior to this appointment, Hauenstein was a data scientist for the Applied Analytics & Emerging Technology Lab at the Lucy Institute. 

Launch of the Geospatial Analysis and Learning Lab (GALL)

The Lucy Family Institute for Data & Society is pleased to announce the launch of the Geospatial Analysis and Learning Lab (GALL). Lead by Matthew Sisk of the Lucy Family Institute, the focus of the GALL is Geographic Information Systems and remote sensing for research and community impact. This new laboratory will function both as a support center for GIS and remote sensing and will elevate geospatial inquiry for the campus and the community by assembling teams to radically collaborate for global problems with a spatial component, like climate analysis, health and poverty.

GIS Day at Notre Dame

TODAY November 15, 2023

Join us for our annual salute to geospatial technology and its power to transform and better our lives and the lives of those around us on Wednesday, November 15, 2023.

GIS Day at Notre Dame is a symposium that combines workshops, presentations and more to demonstrate the power of geospatial technologies. 

Seminar: "Translational AI in Clinical Medicine"

Dr. Fei Wang, Cornell University

Tomorrow November 16, 2023 | 3:30pm
138 DeBartolo Hall

Artificial Intelligence (AI) is playing a more and more important role in medicine. One of the main reasons that AI models caught lots of attention is their superior quantitative performance, but there are many other aspects that we need to consider in order to “translate” these models into real clinical workflow, such as transportability, transparency, actionability and privacy.

In this presentation, Dr. Fei Wang will discuss the considerations of these aspects when developing a translational clinical AI model with concrete examples, with the hope of providing a holistic picture of this topic and the path forward.

GIS Day Panel, Mapping Out Careers: Exploring Professional Applications of GIS

TODAY November 15, 2023 | 3:30pm

Are you an undergraduate or graduate student curious about building a career in Geographic Information Systems (GIS)? Learn more about different career paths using GIS, key skills to hone before graduating, opportunities to seek, and real-world applications.

Hosted as a part of the 2023 GIS Day celebration, this is your chance to map out a successful career trajectory! 

Trustworthy AI Lab for Education Summit

December 1, 2023 | 9:00am

McKenna Hall

The Trustworthy AI Lab for Education Summit (TALES) at Notre Dame rallies an international community of psychologists, computer scientists, learning scientists, ethicists, education researchers and practitioners, and industry leaders to decipher how to build and harness effective and trusted AI solutions for education. 

Registration is required for attendance.

The Lucy Family Institute is currently recruiting a dedicated full-time postdoctoral researcher to work on a "Leveraging Machine Learning for Materials Discovery" project, focusing on molecular simulations of soft materials (e.g., polymers, liquids) and novel machine learning techniques for property prediction and material design/optimization. The primary objective is to generate data for soft materials from simulations and develop machine learning models based on the data. The postdoc will be directly hired by the Lucy Family Institute’s initiative on AI & Materials.

The Lucy Family Institute seeks an assistant-level research professor (non tenure-track) specifically with strong expertise and experience in AI for Social Good, Responsible AI, Inclusive AI, and AI Ethics. The research faculty will be working closely with Nitesh Chawla, Director of the Institute, the Institute faculty, staff and students, and the broader Notre Dame community.

The post-doctoral fellow with work with Dr. Sarah Mustillo and Dr. Nitesh Chawla, as well as other faculty and staff at the Health Equity Data Lab and industry partners from multiple major organizations from health care field. This fellowship presents unique opportunities for post-doctoral researchers to gain research experience, professional development, and work on a national project with a dynamic interdisciplinary team.

Responsible Computing Challenge Student Opportunities

Deadline: Tuesday, November 21, 5:00p.m.

An interdisciplinary team of Notre Dame faculty from the College of Arts & Letters and the College of Engineering’s Department of Computer Science and Engineering are building new courses and reimagining existing courses in responsible computing at Notre Dame through the Mozilla Foundation's Responsible Computing Challenge.

This team is invested in approaches that center the voices of those most directly impacted by inequitable structures of power. They are especially interested in a global-oriented approach on Global South perspectives. 

To support this work, the team seeks graduate and undergraduate student fellows. Prior experience is not needed- Individuals who are new to this conversation but care about these questions are welcome to apply through this form.

"The Lucy Family Institute will be an intellectual and interdisciplinary beacon that produces impactful and equitable data-driven solutions for the good of society."

– Nitesh Chawla, Founding Director