January 10, 2024

lucyinstitute.nd.edu

Notre Dame expert Nitesh Chawla partners with Chile’s open data pioneers

Nitesh Chawla, founding director of the Lucy Family Institute for Data & Society, and Frank M. Freimann Professor of Computer Science and Engineering, recently traveled to Chile to reinforce ongoing collaborations with researchers at Chile’s Data Observatory. The partnership explores a new approach to analyzing Earth and space—one that puts observation data directly into the hands of people who can use it to promote sustainability, prevent natural disasters, and prepare for the effects of climate change.

Nitesh Chawla elected 2024 AAAI Fellow in recognition of outstanding contributions to artificial intelligence

The Association for the Advancement of Artificial Intelligence (AAAI) has elected Nitesh Chawla, Frank M. Freimann Professor of Computer Science and Engineering at the University of Notre Dame, as one of its 2024 fellows.

Chawla, who directs Notre Dame’s Lucy Family Institute for Data and Society, joins a cohort of 11 new fellows selected for their “outstanding contributions to the theory or practice of AI.” 

The Lucy Institute welcomes a new employee

Phillip Whelan
Chief Data Officer in Residence, AETL

In close partnership with iNDustry Labs, Whelan is working to develop opportunities with companies in the local region. His work will identify data-focused projects for AETL, guide organizational data strategy to ensure data quality, drive business value through data analytics and governance, and identify opportunities to advance organizations that utilize data with emerging technology.

The Data Repository: A new resource for data science research

The data repository is a comprehensive hub for learning resources in the field of data science. The centralized platform organizes high-quality materials, including tutorials, courses, articles, and tools, making them easily accessible to learners at all levels.

The repository aims to cater to the needs of:

Soc(AI)ety Seminars Upcoming Session:

January 24, 2024 | 3:30pm
Jordan Hall Auditorium Rm 105

Featuring, Moshe Vardi
University Professor and the George Distinguished Service Professor in Computational Engineering, Rice University

To ensure that we have ample refreshments, RSVP is highly encouraged for each event. Please RSVP if you plan to attend.

Lucy Training Workshop: Introduction to R

January 25, 2024 | 1:00-2:00pm (Zoom)
Jordan Hall Auditorium Rm 105
Deadline to register: January 22, 2024

R is the most widely used programming language for statistical computing and graphics. It is free and open source. The workshop will demonstrate the scripting language and what it can offer as an analytical tool.

No prior knowledge is necessary. This workshop will be offered via zoom and is open to undergraduate and graduate students, faculty, and staff. The deadline to register is January 22.

Lucy Training Workshop: Introduction to Python

January 25, 2024 | 3:00pm
246 Hesburgh Library
Deadline to register: January 22, 2024

Python is open-sourced, interpreted, object-oriented, high-level programming language. It is easy to learn and very user-friendly because of its simple syntax and readable code. The best way to learn a programming language is to do something useful, therefore this hands-on introductory workshop will cover:

To attend, please register by January 22.

Lucy Training Workshop: Tidyverse in R

February 1, 2024 | 1:00pm
246 Hesburgh Library
Deadline to register: January 29, 2024

This workshop series is designed to give an introduction to the Tidyverse packages in R.  Tidyverse is a set of R packages that comprehensively deal with data wrangling and visualization using a common syntax.

The workshop will cover some of the most common packages and functions in Tidyverse using a variety of social science data. 

To attend, please register by January 29.

Lucy Training Workshop: Linear Regression in R

February 1, 2024 | 3:00-5:00pm
246 Hesburgh Library
Deadline to register: January 29, 2024

This workshop is designed as an introduction to linear regression in R.  Linear regression is considered the “backbone” of quantitative social science and provides the grounding and framework for understanding advanced regression models. The topics covered during the workshop include:

To attend, please register by January 29.

Call for Abstracts – “Data Justice for Development”

June 2024 UK DSA Conference
Deadline: January 23, 2024

Data are playing an increasingly important role in shaping development. This is a call for abstracts/presentations exploring issues of data justice in development, including cases where data have led to social (in)justice and practical strategies by which data can contribute to socially just development, with a proposal deadline of 23 Jan 2024. Presentations will be given at the June 26-28 2024 UK Development Studies Association Conference.

Call for Proposals – Notre Dame-IBM TechEthics

Deadline: February 16, 2024

The Notre Dame-IBM Technology Ethics Lab is excited to announce the opening of its annual Call for Proposals on the topic “Ethics of large-scale models.” The Tech Ethics Lab welcomes creative proposals from researchers and practitioners that suggest applied solutions to the ethical challenges associated with these models. The deadline to submit applications is February 16, 2024.

The Lucy Family Institute is currently recruiting expert researchers and professionals in the fields of data science and artificial intelligence who are committed to using data science as a force for good. For more information on these positions, and to apply, please visit the Lucy Family Institute website.

"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