Guide For Speakers

All speakers must ask themselves one basic question: Why am I lecturing? What will I be able to get across to the listeners through a lecture that they could not get just by reading a book or working through an online tute?

The answer for me, in part, is that the physical presence of the speaker and the unfolding of the lecture in front of their eyes will make a difference for the audience. Great lecturers not only inform the audience, they also engage their imaginations and inspire them learn more.

This is the goal of the Data Science Hobart meet ups – to give you something that you just can’t get from a book or from a website -> human interaction and inspiration.

Here are some guidelines and tips that you as a DaSH speaker can use to keep them interested and to not sound like a pre-recorded audiobook:

#1 – Keep it short and sweet. You will have 13minutes. I have a bell and I will use it to warn you at 10minutes. If you are not finished by 13minutes I will stop you. We will then open for informal discussion and questions where people can come and go as they wish.


#2 – Tell them a story. Try it. It works. A story has power. It can connect you to the audience and allow you to put information into their heads.

Your talk should be the trailer, not the whole movie!

So how do you do that, exactly? Well, here’s the template: the ABT …. And …. But …. Therefore… This is the core of any story. e.g. I tried to do this, but it didn’t work, therefore/so I did this cool thing.

Watch this video:

Try writing your ABT and send it to me so that I can use it as an ad for your DaSH session – NB: This is not compulsory, but it will force you to clarify what you want to say and it will connect you with your audience. Contact me if you would like help giving it a go [ ]

TIPS: Try creating a one sentence statement that provides a few set up details, states the problem, then points to the actions being taken to address it. Some examples: “In my laboratory we study ocean chemistry AND phytoplankton biochemistry, BUT we’ve recently realised the real questions we want to ask require larger spatial and temporal scales, THEREFORE we’ve begun learning matlab to match satellite data to our field data.” or as simple as “We do research BUT realised it’s not the right type THEREFORE we’re taking a different approach.”. Heaps more can be found here:

More about story telling in science communication can be found here in this science article: [ ]


“A great lecture is not a rote mechanical reading of notes, but a kind of dance, in which lecturer and listeners watch, respond to, and draw energy and inspiration from each other.” 

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