Objetivo
This online workshop on Artificial Intelligence (AI) Literacy for Academic Authors
is designed to provide hands-on insights into AI-driven academic writing in an
ethical way. With increasing demands for transparent and reproducible research,
as well as evolving data protection regulations, it is essential to know how to use
these tools consciously and responsibly. By the end of the workshop, participants
will know how AI-powered search and discovery as well as writing tools work;
learned efficient strategies for integrating these tools into their research workflow;
and gained a critical perspective on the limitations and challenges of AI-powered
academic writing.
Registro
Fecha límite: 15 de marzo
REGISTRO
Envía correo a
luis.ladino@atmosfera.unam.mx
Modalidades
Virtual
Costos
NO APLICA
GRATUITO
Fechas del curso
23 y 24 de marzo del 2026
Horarios
23 de marzo de 10:00 – 12:00 GMT-6
24 de marzo de 10:00 – 12:00 GMT-6
Temario
Day 1 (2 hours): How AI works + Search & discovery
Duración
Tema
10:00–10:10 | Welcome & orientation
Goals, working agreements, quick participant poll (your AI knowledge &
experience)
10:10–10:40 | Mini-lecture: How generative AI works
In plain language: How is AI built and trained, why “confident wrong” happens
10:40–10:45 | 5 min Break
BREAK
10:45–11:15 | Mini-lecture: Overview of AI-assisted tools for literature search and
reviewHistorical overview, current tools and how to use them; how to evaluate results
11:15–11:55 | Activity: AI-powered search & discovery
Prompt patterns for discovery, refining questions, mapping concepts. Trying to
find publications and reflecting on results
Plenary discussion of results, insights and stumbling blocks
11:55–12:00 | Wrap-up
Take home messages and outlook on Day 2
Day 2 (2 hours): AI-assisted writing + ethics, transparency & data protection
Duración
Tema
10:00–10:10 | Reconnect & recap
Share one insight from Day 1 + today’s focus
10:10–10:30 | Mini-lecture: AI in academic writing workflows
Where it helps (structure, clarity, revision) and where it’s risky (facts/citations,
authorship)
10:30–11:00 | Activity: AI-Assisted Writing
Breakout groups for AI-assisted writing exercises Plenary discussion of results, insights and stumbling blocks
11:00–11:05 | Break
BREAK
11:05–11:30 | Mini-lecture: Ethics, transparency & data protection
Personal “AI use plan” (3 use cases + 3 boundaries + where do I want to learn
more)
Sharing your insights with the plenary
11:50–12:00 | Wrap-up
Final Q&A
Requisitos de ingreso, permanencia y egreso de los participantes:
Ninguno
Criterios y forma de evaluación
To attend the 4 h workshop
Requerimientos técnicos (mixta y a distancia)
Los participantes que decidan tomar el curso a distancia necesitarán una computadora con conexión a internet, un explorador de internet y una app para teleconferencia (ZOOM)
Cupo
Mínimo 8 personas
Máximo 50 personas
Planta académica ICAyCC
Dra. Ana Petrus
INVESTIGADOR RESPONSABLE
Dr. Ana Petrus (https://anapetrus.ch) is the founder of scivia LLC (https://scivia.ch), a consultancy specialising in research data management and digital sustainability.
She is also an adjunct lecturer of Data Management at the FH Graubünden (University of Applied Sciences of the Grisons, https://www.fhgr.ch/en), Switzerland. Her career has been built at the intersection of higher education, international projects, and contemporary digital challenges.
Dr. Petrus holds a PhD in Atmospheric Science from ETH Zurich (https://iac.ethz.ch) and a teaching certificate, also from ETH Zurich. She additionally holds project management certifications from IPMA (https://ipma.world) and the University of Oxford. She is an active member of the LIBER (https://libereurope.eu) Research Data Management Working Group and the LIBER AI Task Force, and she serves on the Scientific Advisory Committee of the data management portal olos.swiss (https://olos.swiss).
With 20 years of experience in academia and multinational collaborations, she has worked with companies, academic institutions, research teams, and public authorities. Her projects address critical challenges in STEM and interdisciplinary research data management, FAIR and Open Science, AI in libraries, and digital transformation and sustainability.
Sede
Instituto de Ciencias de la Atmósfera y Cambio Climático (UNAM)
Investigación Científica s/n, C.U., Coyoacán, 04510 Ciudad de México, CDMX
