Huge Interest in BT Young Scientists among Moate Students!
There is huge interest this year in BT Young Scientists among the students in Moate Community School, despite current COVID restrictions. Since their return to school at the end of August, the students have been brainstorming ideas and preparing their project proposals with the support of their Science teachers Ms Maireád Cusack and Ms Irene O’Sullivan.
Thirteen projects were submitted for the 1st Oct deadline, ranging across the categories: Social & Behavioural, Biological & Ecological, Chemical & Physical and Technology. Competition is high for a place in the virtual exhibition which takes place in January. Students will be informed whether their project is accepted after mid-term break.
Four Junior Projects from Second Year students:
Aine Broderick, Shana Brady and Lauren Finan: Investigating the Effect of Diet on the Incidence of Laminitis among Connemara Ponies.
Kian Brady & Reuben Guinan: Superfoods and Diabetes.
Niamh Kelly, Sarah McCormack & Skyla Looney: Examining the Impact of Lockdown on the Irish Diet.
Aine Macken & Mia Shelam: Ironing out the Water Quality Issues on Irish Pig Farms
Nine Senior Groups from Transition Year Students:
Abby Mullins, Chloe Murphy and Megan Carroll: Wool Saviour of our Sea
Conall Mandal & Daragh Lowry: An App to Co-ordinate your Awareness and Knowledge of your Locality
Aine Maxwell, Laura Conlon & Joyce Conway: Stop Milk Spoilage. Start Seeing Changes
Ava Hallissy, Leah Hallissy and Annie Duffy: The Future is Bright; Using Compost to Fuel Our Homes.
Anna Cornally and Rebecca Finlay: Investigating the effect of drainage on the biodiversity of bog pool macroinvertebrate populations.
Kate Rohan, Mya Curtin and Cora Farrell: A statistical analysis of public attitudes towards people living in direct provision
Labhaoise Foley, Kaytlin Flynn and Emer Killian: The Bird Feeder Infection Problem
Caitlin Blom and Rachel Bermingham: Investigating the Effect of Music on the Addictiveness of Video Games.
Tara Hamilton and Aine Egan: A Statistical Analysis of the Effect from home on gender Stereotyping During Lockdown