ΑΙhub.org
 

AIhub Ambassador programme – call for volunteers


by
22 April 2020



share this:
AIhub ambassador

Are you a PhD student or researcher with an interest in science communication? We are recruiting AIhub Ambassadors to help us write about the latest news, research, conferences, and more, in the field of artificial intelligence and machine learning.

What would this involve?

Ideally you would produce a series of blog posts on aspects of the field that interest you. You could write about some significant research, give a tutorial, or cover a session at a (for now, virtual) conference. You could draw attention to exciting new developments in the field, interview a researcher, or summarise recent social media commentary. In short, there are many topics you could write about and we’d be more than happy to discuss any ideas you have.

What form should my blog post take?

Although the majority of our posts take the form of written text with images we are keen to incorporate more audio and video posts if that is something you’d like to explore. Essentially you can use whichever format you prefer.

Will you provide guidance?

Our Managing Editor will be happy to chat with you online, or by email, to provide guidance and to answer any questions you may have. We can advise on science communication and will be on hand to help with any editing, or simply to talk through any ideas you may have for an article.

See previous posts from AIhub Ambassadors:

IJCAI main conference in tweets
IJCAI mini interviews – Claus Aranha from University of Tsukuba
Free AI classes and reads
 

Interested in signing up?

Email our managing editor at aihuborg[at]gmail.com for further information and to discuss the next steps.




AIhub is dedicated to free high-quality information about AI.
AIhub is dedicated to free high-quality information about AI.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

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.

An AI image generator for non-English speakers

  17 Mar 2026
"Translations lose the nuances of language and culture, because many words lack good English equivalents."



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence