Unfortunately we don't fully support your browser. If you have the option to, please upgrade to a newer version or use Mozilla Firefox, Microsoft Edge, Google Chrome, or Safari 14 or newer. If you are unable to, and need support, please send us your feedback.
Webinar Series: AI for Research and Higher Education
From Strategy to Discovery – From Question to Evidence
Join us for three engaging sessions on how Artificial Intelligence is transforming research and university management across Latin America.
About the Series
Live and free online events where Elsevier experts and academic leaders will share real cases, tools, and best practices for applying AI at your institution.
Three independent yet complementary sessions, each focused on a key aspect of AI in higher education.
Modality: 100% online and free, accessible from any device
Access to recording and downloadable support materials for all registrants
This trilogy is designed to help you understand how to responsibly design and implement an institutional strategy that integrates AI across your organization.
By participating, you’ll strengthen your professional network by connecting with colleagues in the region and Elsevier experts. You’ll also gain exclusive resources—guides, templates, and checklists—for practical application.
All attendees will receive an official certificate of participation for professional development, along with privileged access to a closed LinkedIn community to continue exchanging ideas and experiences.
Content & Format
Real-world cases: Implemented projects in Latin American institutions, challenges faced, and measurable outcomes
Practical tools: Live demos of AI-powered analytics and discovery platforms
Best practices: Guidelines to ensure academic integrity, reduce bias, and validate results
Real-time interaction: Live polls and open chat to answer your questions instantly
Who Should Attend?
University Presidents, Vice Presidents, and Research Directors
Academic Affairs and Institutional Development Offices
Librarians and Scientific Information Managers
Faculty and Researchers interested in applied AI
Agenda
Topic
Date
Choosing the Right AI Tool for Your Institution
In this webinar, experts will guide you through the process of selecting the ideal artificial intelligence tool for your institution. Learn how to assess your needs, identify effective solutions and implement AI strategically to boost academic innovation and institutional management.
How to design and execute a strategic plan based on AI data and algorithms.
June 3, 2025
[Spanish]
From strategy to discovery with AI
Discover how to turn data into institutional decisions with the support of artificial intelligence. In this webinar, experts show how to structure an effective AI strategy to boost research, optimize academic management and promote responsible innovation.
Dates to be confirmed soon
[Portuguese]
From strategy to discovery with AI
Spot funding opportunities and connect with key partners supported by AI.
Dates to be confirmed, coming soon
[Spanish]
From question to evidence with AI
In this webinar, explore how artificial intelligence can be used to turn questions into solid evidence. Experts demonstrate how to apply AI in academic research to generate accurate, data-driven insights and support informed decision-making in the academic environment.
Dates to be confirmed soon
[Portugues]
From search to evidence with AI
Improve your global visibility and ranking using advanced analytics.
Dates to be confirmed, coming soon
[Spanish]
Past Webinars
Navigating the Future: Responsible GenAI in Aerospace Science
Join Katya Echazarreta as she explores how generative AI can be applied ethically and responsibly in aerospace science. A real-world use case that showcases the transformative power of technology when guided by strong principles and human oversight.
AI Trends in Higher Education and Research in Latin America
Discover how artificial intelligence is reshaping higher education and research across Latin America. In this webinar, experts explore emerging trends and share real-world case studies that demonstrate how to implement AI ethically, strategically, and responsibly in academic settings. An essential guide for institutional tech leaders.
How Curated, Enriched, and Connected Data Enhances Research Insights
Explore how Scopus data is used to shape a generative AI solution that supports researchers. Topics include content curation, bias minimization, content integrity, quality assurance, and the Scopus content used to train the AI.
Discover how researchers can effectively use Scopus AI throughout the research process and explore practical ways to leverage our AI-generated results to accelerate information discovery.
Elsevier provides data-driven analytics and decision-support tools for researchers and healthcare professionals around the world, helping to advance science for the benefit of society.
For over a decade, Elsevier has responsibly integrated AI and machine learning technologies into its products, combining them with peer-reviewed content, comprehensive datasets, and advanced analytics to help researchers and academic leaders discover, develop, and apply trusted knowledge.
Our Principles for Responsible AI
We consider the real-world impact of our solutions on people
We take steps to avoid creating or reinforcing unfair bias
We can explain how our solutions work
We build accountability through human oversight
We respect privacy and promote strong data governance
Our internal and external AI solutions are designed to enhance human decision-making. This approach reflects our commitment to corporate responsibility—proactively increasing our positive impact while minimizing any potential harm.
As we integrate increasingly advanced analytics and technologies, we deliver higher-value solutions. While the intersection of cutting-edge technology, its growing influence on decisions, and its societal effects poses new risks, it also offers numerous opportunities to generate meaningful benefits for society.