[ABE-L] CIRS/SWB Webinar: An Introduction to Generative AI and Large Language Models

[Denise Britz do Nascimento Silva]

Bom dia a todos e todas
Reenvio informações sobre o webinário do Prof. Paulo Canas Rodrigues,
organizado
pelo Committee on International Relations in Statistics (CIRS) da American
Statistical Association.

Data/horário do webinário no Brasil: dia 13/11 às 14h30.

Para se inscrever no webinário:
https://amstat.zoom.us/webinar/register/WN_ToyKGHALRi64TNSobKACnQ#/registration

An Introduction to Generative AI and Large Language Models
Paulo Canas Rodrigues, UFBA, Brazil


November, 13 2025 -  12:30 pm - 2 pm ET

This webinar combines two complementary perspectives: one centered on
education, the other on innovation. I will begin by sharing insights from
my experience as an ASA Educational Ambassador, reflecting on the role of
international collaboration and outreach in promoting statistical learning.
In the second part, I will discuss how generative artificial intelligence
and large language models (LLMs) are reshaping the way we teach, learn, and
communicate in statistics and data science. The session will highlight
practical opportunities, current challenges, and the importance of
maintaining a critical and ethical perspective as these tools become part
of our academic and professional routines.

Abraços
Denise
==========================================
Denise Britz do Nascimento Silva
Principal Researcher
SCIENCE - https://science.org.br/
Vice-President - International Statistical Institute
https://www.isi-web.org/
===========================================



---------- Forwarded message ---------
De: Denise Britz do Nascimento Silva <denisebritz em gmail.com>
Date: ter., 28 de out. de 2025 às 15:41
Subject: CIRS/SWB Webinar: An Introduction to Generative AI and Large
Language Models
To: abe-Lista <abe-l em ime.usp.br>, Alexandra Schmidt, Dr. <
alexandra.schmidt em mcgill.ca>


Boa tarde a todos e todas,

A pedido da Prof. Alexandra Schmidt , divulgo o webinário do Prof. Paulo
Canas Rodrigues organizado pelo Committee on International Relations in
Statistics (CIRS) da American Statistical Association.

Abraços
Denise
============================================================
Dear Colleagues,

We are pleased to announce the CIRS/SWB Webinar titled "An Introduction to
Generative AI and Large Language Models" by Dr. Paulo Canas Rodrigues
(UFBA, Brazil), on November 13,  2025, 12:30 - 2:00 PM ET.

 Our webinar series, sponsored by the American Statistical Association’s
Committee on International Relations in Statistics (CIRS), provides
introductory lectures by experts on important topics of current interest
and is aimed at an international audience.

More information is provided below.


An Introduction to Generative AI and Large Language Models
Paulo Canas Rordigues, UFBA, Brazil


November, 13 2025 -  12:30 pm - 2 pm

This webinar combines two complementary perspectives: one centered on
education, the other on innovation. I will begin by sharing insights from
my experience as an ASA Educational Ambassador, reflecting on the role of
international collaboration and outreach in promoting statistical learning.
In the second part, I will discuss how generative artificial intelligence
and large language models (LLMs) are reshaping the way we teach, learn, and
communicate in statistics and data science. The session will highlight
practical opportunities, current challenges, and the importance of
maintaining a critical and ethical perspective as these tools become part
of our academic and professional routines.

Register here
<https://amstat.zoom.us/webinar/register/WN_ToyKGHALRi64TNSobKACnQ> .

We look forward to seeing you there!

 Best wishes,
Alex (for the organizing committee)
Alexandra M. Schmidt
Professor - The University Chair
McGill University
*http://alex-schmidt.research.mcgill.ca/
<http://alex-schmidt.research.mcgill.ca/>*

==========================================
Denise Britz do Nascimento Silva
Principal Researcher
SCIENCE - https://science.org.br/
Vice-President - International Statistical Institute
https://www.isi-web.org/
===========================================
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