Artificial Intelligence for Scientific Communication and PopularizationHome Training Catalog Artificial Intelligence for Scientific Communication and Popularization Intelligence Artificielle Générative Data Science Open Source Publishing Scientific communication and writing Short courses On-site courses Remote/Virtual Face-to-face English French Objectives Understand the fundamentals of Generative AI and its applications in communication Use AI in communication strategy: defining target audiences, structuring messages, choosing formats… Prerequisites: No technical prerequisites in AI. The training is accessible to all, even without prior knowledge of AI tools. No need to be an expert in popularization, but a basic familiarity with scientific communication and the scientific world, as well as its functioning, is required. Teaching Methods and Support: Tools used: Consensus, ChatGPT, Perplexity, QuillBot Sessions with the trainer, digital learning materials Alternating between theory and practice Individual work on a scientific communication project, personalized guidance, and trainer feedback Exchanges between participants to refine the materials created Monitoring and Assessment Methods: Practical exercises between the two sessions Feedback and evaluation at the end of the training Evaluation based on continuous and subjective assessment with regular hands-on activities Expected Outcomes & Skills: Structure and tailor a scientific message based on the target audience Use AI to rephrase, popularize, and optimize scientific communication Choose the right formats and channels to effectively disseminate content Automate and save time with AI tools Apply a concrete communication strategy tailored to their needs Program Half-Day 1: Introduction to Generative AI History How it works Applications in Communication Module 1: Transforming Your Knowledge into a Clear and Impactful Message Understand different types of scientific communication Define your target audience Structure a scientific message methodically Practical exercises Module 2: AI as a Time-Saver in Scientific Communication Structuring prompts (role-play of AI) and creating different profiles Creating prompts based on objectives (and previously defined target audiences) Practical exercise Half-Day 2: Applications in Communication Module 3: Building a Scientific Communication Strategy Choosing the right format Empowering texts, infographics, and visuals with AI Practical exercise Module 4: Practical Case Create your first scientific publications, communication plan, and resource bank with the help of AI Duration 7 hours Level Intermediate Audience PhD Students, Researchers (public & private sectors), Communication Managers / Community Managers / Communication Officers in the scientific sector (labs, etc.) Participants 8 people maximum Instructor Laure A teacher and trainer, Laure has diverse experience in managing public health projects, scientific writing, and training. Inter-company sessions 2025 – 1st semester [2 half-day remote sessions] in french : Dates: - April 1-2, 2025: 09:00 AM - 12:30 PM - June 3-4, 2025: 09:00 AM - 12:30 PM Price: €700 excl. tax per person In-company sessions: Contact us for a personalized quote. Next session : 03 June 2025 Register Ask for a quote Are you looking for information about a training course? You want to set up a customized training session? Contact our pedagogical team! Notice: JavaScript is required for this content. Upcoming trainings Intelligence Artificielle Générative Integrating Artificial Intelligence into your scientific teams Objectives Understand Generative AI, its functioning, and its limitations Explore the applications of Generative AI and use cases for scientists Define a plan for integrating Generative AI into your team/laboratory and prioritize the first actions 13 May Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Introduction to R for Basic Statistical Analysis with the Help of Generative AI (Beginner) Objectives Discover the fundamentals of R and generative AI tools. Learn the basics of descriptive statistical analysis and apply them to real-world datasets. Learn how to automate common tasks in R using generative AI. Master the creation of simple visualizations and data presentation. Get introduced to the concepts of simple regressions and hypothesis testing. Generate workflows and automated reports with R Markdown. 19, 20, 22 and 23 May Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative Artificial Intelligence for Scientific Monitoring Objectives Describe the general working principle of Deep Learning and Generative Artificial Intelligence. Use advanced prompting techniques to meet business needs. Synthesize articles and scientific content by producing concise summaries that highlight key points and main conclusions. Improve technological monitoring by configuring, customizing, and automating generative artificial intelligence tools to monitor and summarize the latest research published in specific fields. Identify key points in a specific scientific field and detect missing research topics needed to complete an existing theoretical model. Translate articles. 19 and 23 May Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative AI for Qualitative Analysis Objectives Understand the fundamentals of generative AI and its applications. Master AI-assisted qualitative analysis techniques. Use AI for analyzing and presenting qualitative data. 02 and 03 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Artificial Intelligence for Scientific Communication and Popularization Objectives Understand the fundamentals of Generative AI and its applications in communication Use AI in communication strategy: defining target audiences, structuring messages, choosing formats… 03 and 04 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Enhance your statistical analyses with R and Generative AI (Advanced) Objectives • Deepen your mastery of R to perform advanced statistical analyses.• Discover and leverage generative AI tools to automate common tasks in data analysis.• Optimize analytical processes by integrating automated workflows.• Structure complex workflows effectively and innovatively.• Strengthen the understanding and application of advanced statistical concepts to real and simulated cases. 09, 10, 12 and 13 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Prompt Engineering Objectives Describe how a Generative AI (GenAI) works in order to optimize its use in daily tasks Apply prompt engineering methods to use GenAI tools effectively Identify use cases within your professional environment 19 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative Artificial Intelligence for Research Education Objectives Discover the general principles of Deep Learning and Generative Artificial Intelligence, and benefit from the potential of Generative AI tools. Use advanced prompting techniques to meet business needs. Classify generative AI tools according to the media they implement (text-to-text, text-to-image, etc.), and select the right tool for a specific use case. Produce educational activities such as course notes, study guides, or chapter summaries to assist students in their learning. Design exams and quizzes based on the training content developed for students, saving time in course preparation. Generate scenarios or case studies for group projects, based on current topics or scientific advancements, to expand the possibilities of course facilitation (content, group workshops, etc.). Adapt your teaching and prepare your students for the Generative AI revolution. 26 June03 July Register Ask for a quote Previous Next
