Outreach at the Sydney Girls High School Science Conference

By Dr Yulian Cao

On Thursday the 27th of June, five of our UNSW Women in Maths and Science Champions, Nicole Green, Raisa Rafique, Yulian Cao, Emily Vohralik and Sarah Topfer had the amazing opportunity to be judges for the Sydney Girls High School Science conference. The conference is an annual competition where Year 9 students present the outcomes of a research project they have conducted to an expert panel. It is a unique opportunity for students to interact with STEM professionals and for STEM professionals to be inspired by the young minds of the future.

UNSW Women in Maths and Science Champions with the two winners of the Sydney Girls Science Conference.

 

Sydney Girls High School Science Conference.

The champions helped judge 25 research projects on the night, pre-selected from a pool of over 150 written project reports. Judging occurred in two stages – a preliminary stage where students were split into six groups and presented their project to a judge followed by a final stage where the best student from each group presented their project for a second time in one of two finals and two winners were determined.

Like any scientific investigation, the judging criteria for the students’ project included major considerations such as experimental design and data analysis. It also focused on the ability of the student to communicate their ideas and demonstrate understanding of topic and presentation.  The latter was a particular highlight for the UNSW Women Champions who were able to provide students with valuable feedback based on their science communication training as part of the UNSW Champions program.

Judge notes for the Sydney Girls High School Science Conference.

Early career researcher and UNSW Science Champion Yulian Cao was particularly impressed by some of the unique scientific questions posed by the students including “Is there a relationship between the concentration of plastic in water and how the water absorbs or loses heat?” and “The effect of different types of moisturisers on skin hydration.

“The student’s experiment design and data analysis strongly support their proposed topics; their presentation and communication skills were good and they even answered all judges’ questions promptly.” said Yulian. “This is an amazing accomplishment considering many experienced scientists find it challenging to perform well in all these areas.”

Another UNSW Women Champion also commented, “This has been a chance for me to learn from the high school students. They did very good work!”

Well done to all the students who presented on the night and the UNSW Champions look forward to next year’s conference.

One of the winning students presenting her project on “the effect of different types of moisturisers on skin hydration.”

 

Follow on Twitter:

Yulian Cao:  @YulianCao

Nicole Green:  @NicoleFGreen

Raisa Rafique: @RaisaBangladesh

Sarah Topfer: @SarahTopfer_

Emily Vohralik: @EVohralik

 

#dataHackEd

By Jennifer Sloane

If you go to twitter, you can see that #dataHackEd was trending just a couple of weeks ago. But what does dataHackEd even mean? What was all the buzz? It may be helpful to start with a definition of hacking: “Computer hacking refers to the practice of modifying or altering computer software and hardware to accomplish a goal that is considered to be outside of the creator’s original objective.” (definition from https://cyber.laws.com/hacking)

The Australian Data Science Education Institute hosted the first ever “Resource Hack Day” on March 27th 2019 in Melbourne. The purpose of the event was for teachers and “hackers” with an interest in data science education to come together and brainstorm ways to support education from primary school to Year 12. The twitter hashtag is, therefore, a play on data hacking for educational purposes.

While the main event took place in Melbourne, with help from Dr. Jenny Richmond, we organized and hosted an event at UNSW and participated remotely. Our goal was to create resources that teachers can use to help students to visualise, analyse, and interpret big datasets. At first, I thought this seemed like a very daunting task and didn’t even know where to begin. However, we had an incredible team of 6 enthusiastic researchers that were eager to get started. We all agreed to work with a dataset that looks at the trends of baby names across different states in Australia.

We spent hours analysing and trying our best to fully understand the dataset… which is not such a simple task considering there are 252,358 rows of data! You can see some of the cool graphs we created on this page using excel and two programming languages (i.e. Python and R). And if you are interested, you can check out the interactive website (https://j-sloane-92.shinyapps.io/babynames/) I created to help visualize this huge dataset. Although, as you can see from the website, I may have been biased in choosing a few of the “best” names (I’m still working on how to include all 57167 names without it crashing). Aside from creating visualizations, we spent time typing up notes, key findings, and step-by-step guides that may be useful for teachers with little to no programming experience.

An example from the interactive website of the popularity of the name “Jenny” between 1950-2000.

Hack Day was a huge success in both Sydney and Melbourne. People were working on several different projects and datasets in a shared space, so now everyone has access to all of the material. We had such a great time in Sydney, we are already planning our next Hack Day. Additionally, one of my long-term goals is to organise and run workshops at local high schools with our new resources to teach younger students all about data science in a fun, interactive, and engaging way.

If you are interested in getting involved in any way, please contact me directly (j.sloane@unsw.edu.au).

Follow Jennifer on Twitter