Call for Speakers

We invite AI and Data Science leaders to share their expertise as presenters!

seminar topic areas include:

Generative AI and Ethical Implications: Exploring prompt engineering, intellectual property, and the ethical considerations of generative AI technologies.

Advancements in Machine Learning and AI: Discussing the latest techniques, applications, and innovations in AI and machine learning.

Practical Applications of Generative AI: Practical implications and experience in leveraging LLMs in business processes.

Explainable AI (“XAI”): How inherently explainable or “white box” methods in machine learning can provide interpretable and explainable models for critical decision-making.

Agenic Systems: Innovations in the creation and coordination and management of intelligent agents.

Data Privacy and Security: Addressing best practices for protecting sensitive data in the era of big data.

Ethical Frameworks in Data Science: Providing insights into responsible data collection, usage, and the societal implications of AI.

AI in Healthcare and Drug Discovery: AI’s role in accelerating drug discovery by simulating molecular interactions and optimizing treatments.

Seminars should focus on emerging trends, tools, and technologies in data science. These sessions should be structured to allow for approximately 30 minutes of presentation and at least 15 minutes for Q&A.

workshop topic areas include:

Fundamentals of Data Science: Introduction to machine learning, exploratory data analysis (EDA), and best practices in data visualization.

Advanced Techniques and Applications: Topics such as building predictive models, deep learning with TensorFlow, natural language processing, and working with large language models.

Prompt Engineering and Efficient Search with AI: Best practices in using LLMs for effective outcomes with minimal hallucination. Developments in retrieval-augmented generation (RAG) and similar methods.

Data Engineering and Infrastructure: Fundamentals of data engineering, introduction to generative AI, and hands-on training with data pipelines.

These hands-on workshops are designed to provide participants with in-depth technical training. Workshops should include approximately 15–30 minutes of presentation followed by roughly an hour of interactive, hands-on training. Attendees should be encouraged to bring laptops for participation.

Submission Requirements

Session Format Details:
- Standard Seminars: 45-minute sessions, including 30 minutes of presentation and at least 15 minutes for Q&A.
- Upskill Workshops: 90-minute interactive sessions, with 15–30 minutes of presentation and 60 minutes of hands-on training. Software demonstrations and live coding are encouraged.
Proposals must include a title, a brief description of the presentation, and the presenter’s bio, company, and headshot.
All proposals should align with the WiDS mission and focus on data science research, applications, or emerging trends. Proposals from individuals working for organizations that sell data science products or services are welcome, but the description of your company must be limited to the first slide. Direct sales pitches are not permitted.
Deadline for submissions: January 10, 2025
Presentation selections: January 31, 2025