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Display Title Generative AI Workshop Series
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 Join us for 12 hours of engaging hands-on learning to effectively apply generative AI tools to your research, from fundamentals through advanced techniques.
Learn how this powerful technology can transform your work and drive new scientific discovery in any field of study.
Just $299 USD for the full series, or choose sessions to meet your needs:
April 7: Workshop A: Fundamentals of Generative AI — one 3-hour session (required to attend advanced workshops)
ISD Members: $49 USD | Nonmembers: $79 USD
April 14, 16, and 17: Workshop B: Advanced Generative AI Concepts and Application — three 90-minute sessions
$149 USD
April 21, 23, and 24: Workshop C: Special Topics: Generative AI Tools and Applications for Preparing Manuscripts and Scientific Communications — three 90-minute sessions
$149 USD
All workshops begin at 2 PM US Central Time (19:00 UTC). Space is limited—don't miss out on this unique opportunity!Session Details
Workshop A: Fundamentals of Generative AI
April 7, 2–5 PM US Central Time (19:00–25:00 UTC)
Limited to 30 participants
We'll start with a one 3-hour session designed for complete beginners, providing a comprehensive introduction to ChatGPT and similar tools. It clarifies their capabilities and limitations, establishing the foundational knowledge necessary for informed and effective usage. The knowledge gained equips participants to confidently apply prompt engineering techniques to their individual research projects, ensuring they build a strong foundation for future learning.
Learn the essentials of securely, efficiently, and confidently utilizing large language models (LLMs) for academic work.Modules - Fundamentals of Generative AI (60 minutes)
- Prompt Engineering: Core Concepts (60 minutes)
- Generative AI Ethics, Bias, and Safety (60 minutes)
Learning Objectives- Understand the core principles of generative AI and its applications
- Understand how LLMs work, including the basics of the transformer, word tokenization, neural networks, next word prediction amongst other concepts.
- Gains hands on experience with prompt engineering and appreciate the foundational concepts behind working with LLMs, like ChatGPT.
- Learn different tactics and strategies for prompting different LLMs
- Understand how to obtain reliable results
- Understand how to spot and reduce “hallucinations”
- Develop appreciation for bias within LLMs
- Understand core concepts behind safe prompting practices and where prompting risks arise (e.g. prompt injections)
- Apply appropriate tools and strategies for maintaining privacy and avoid leaking sensitive data
- Understand how ethics apply to LLMs
Workshop B: Advanced Generative AI Concepts and Application
April 14, 16, and 17, 2–3:30 PM US Central Time (19:00–20:30 UTC)
Limited to 20 participants
Prerequisite: Workshop A In three 90-minute sessions, we'll build on the foundational concepts established in Workshop A to
explore how LLMs can facilitate grant writing and research discovery. These sessions will explore advanced topics such as Chain of Thought prompting, including practical guidance on when and when not to use it. We'll introduce more sophisticated prompt engineering techniques to expand participants' capabilities and deepen their understanding. To further refine and expand participants'' skills, Workshop B introduces AI Studio, developed by Google. This platform provides access to state-of-the-art large language models from Google DeepMind and access to the latest vision tools.
Explore advanced prompt engineering and learn to get the most from free AI tools.Modules - Prompt Engineering: Advanced Concepts (90 minutes, April 14)
- Google AI Studio with Focus on Grant Writing (90 minutes, April 16)
- Latest AI Tools for Literature Discovery (90 minutes, April 17)
Learning Objectives- Understand advanced prompt engineering tactics and strategies
- Learn to assign roles and personas to large language models
- Utilize large language models as learning assistants
- Be aware of the limitations of learning from large language models
- Apply concepts and be able to articulate the benefits and pitfalls of learning with AI
- Gain hands-on experience of AI Studio, a free ensemble of tools put out by one of the leaders in this space, Google
- Learn and apply real-time language models to help with explaining concepts, debugging code, writing and so much more
- Use the large context window of Gemini models to interact information using dozens of documents at once
- Be able to identify different AI tools and their specific strengths and weaknesses relating to research discovery
- Understand how to apply prompt engineering fundamentals to get the best out of these free commercial products
- Understand the limitations of tools based on AI
Workshop C: Special Topics: Generative AI Tools and Applications for Preparing Manuscripts and Scientific Communications
April 21, 23, and 24, 2–3:30 PM US Central Time (19:00–20:30 UTC)
Limited to 20 participants
Prerequisite: Workshop A; Workshop B recommended. We'll wrap up with three more 90-minute sessions that build directly on the foundations of Workshops A and B, focusing on equipping participants with advanced skills to confidently and efficiently apply prompt engineering techniques and AI tools to address complex, real-world challenges. These sessions
focus on developing and evaluating scientific content, including using LLMs in manuscript preparation. Learn how to accurately extract data from research articles, advantages and disadvantages of using LLMs to write and edit content, how to reduce “hallucinations” by providing “ground-truth,” and much more.
Explore advanced techniques to address specific needs in scientific research and communication.Modules - Prompt Engineering: Special Topics (90 minutes, April 21)
- Generative AI for Research Manuscript Preparation (90 minutes, April 23)
- AI Tools for Productivity and Science Communication (90 minutes, April 24)
Learning Objectives- Understand best practice for working with multiple files
- Understand context windows and current large language model limitations relating to “memory”
- Use advanced prompt engineering techniques to push large language models towards better reasoning performance
- Learn how to accurately extract numerical data from research articles
- Learn how to extract data from figures, images and graphs
- Articulate best practice for working with large texts
- Understand the advantages and disadvantages of using large language models for writing and editing content
- Learn how to provide the model with “ground-truth”, helping to reduce hallucinations
- Learn how to work with data for extracting meaning or enhancing your own learning
- Explore AI tools to reduce the burden of scientific admin
- Understand the limitations and advantages of animating images into videos
- Explore different AI platforms for animating ideas and the implications these platforms have for scientific communication
RegistrationRegister for the full series to get the most out of this unique opportunity!Although each workshop is designed to stand alone, skipping foundational content significantly limits the opportunity for meaningful growth and awareness around the myriad of pitfalls relating to using large language models. Sequential progression ensures participants can fully leverage the techniques and tools introduced in later sessions. Like programming languages, LLMs have unique requirements and nuances that need to be understood to effectively deploy them for personal projects. This progression ensures participants gain the knowledge and confidence needed to unlock these tools’ full capabilities. Registration Options-
Workshop A: ISD Members: $49 USD | Nonmembers: $79 USD (includes 1 year of ISD membership)
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Workshop B: $149 USD —
You can add workshop B separately after selecting workshop A in the registration options.
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Workshop C: $149 USD —
You can add workshop C separately after selecting workshop A in the registration options.
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Full 3-Workshop Bundle: $299 USD (includes 1 year of ISD membership for nonmembers)
Register Now
Note: We want to ensure that you get the most out of this event! After registering, you'll receive a link to a survey. Your input will shape the use cases presented at the workshop. We strongly encourage you to complete the survey.
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