ΑΙhub.org
 

An introduction to science communication at #NeurIPS2024


by
04 December 2024



share this:

microphone in front of a crowd
We’re pleased to announce that we will be giving an introduction to science communication for AI researchers at NeurIPS this year. This will be held on Tuesday 10 December from 14:00. If you are attending the conference and fancy finding out how you can communicate your research to a general audience in different formats, then please do join us.
Following an hour-long introductory talk, there will be an optional, open, drop-in session where you can try out some of the things you learnt in the course, ask any sci-comm questions, and chat about your ideas and stories.

Timetable

  • 14:00 – 15:00 Talk: science communication for AI researchers – introductory training
  • 15:00 – 16:00 Open drop-in session for one-on-one support

Location

Meeting rooms 8 & 15, East Building, Vancouver Convention Center

Presenters

Professor Tom Dietterich, Oregon State University
Dr Lucy Smith, Senior Managing Editor, AIhub

About the session

Science communication is essential. It helps demystify AI for a broad range of people including policy makers, business leaders, and the public. As a researcher, mastering this skill can not only enhance your communication abilities but also expand your network and increase the visibility and impact of your work.

In this brief tutorial, we will teach you how to clearly and concisely explain your research to non-specialists. You’ll learn how to avoid hype, how to find suitable images to illustrate your work, and where to start with social media.

What we’ll cover

  • Why science communication matters
  • Different ways to do science communication
  • Working with media
  • Communicating via social media
  • Finding your story
  • Turning your story into a blog post
  • How to find and use suitable images
  • How to avoid hype in your communication
  • Unconventional ways to do science communication

If you’d like to find out more, contact Lucy Smith at aihuborg@gmail.com, or see our session webpage.



tags: , ,


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

A multi-armed robot for assisting with agricultural tasks

and   27 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  26 Mar 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

RWDS Big Questions: how do we highlight the role of statistics in AI?

  25 Mar 2026
Next in our series, the panel explores the statistical underpinning of AI.

A history of RoboCup with Manuela Veloso

  24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.

Information-driven design of imaging systems

  23 Mar 2026
Framework that enables direct evaluation and optimization of imaging systems based on their information content.

Machine learning framework to predict global imperilment status of freshwater fish

  20 Mar 2026
“With our model, decision makers can deploy resources in advance before a species becomes imperiled.”

Interview with AAAI Fellow Yan Liu: machine learning for time series

  19 Mar 2026
Hear from 2026 AAAI Fellow Yan Liu about her research into time series, the associated applications, and the promise of physics-informed models.

A principled approach for data bias mitigation

  18 Mar 2026
Find out more about work presented at AIES 2025 which proposes a new way to measure data bias, along with a mitigation algorithm with mathematical guarantees.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence