Author/s: Györgyi Bela, Béla Mihalik and Zoltán CsikiPresenter: Györgyi Bela
Citizen Science (CS) and the proliferation of IoT solutions open the door for empowering people to monitor collectively their radioactivity, to start collaborations with researchers. A precondition for CS projects in radiation is for people to understand the technological opportunities they have and to increase science- and data literacy. We will present a ‘SiPM scintillator kit’ that use innovative scintillator technology (NaI(Tl) / LySo / Plastic with SiPM) and that allows citizens to get inside radiation detection tech and to make it more accessible to both citizens and researchers (from different disciplines) in order to start new Citizen Science projects.
Author/s: Carina Veeckman, Patrick De Boever, Bart Elen and Laura TemmermanPresenter: Carina Veeckman
To support medical professionals, the “Eye for Diabetes” project is developing and training a computer model based on artificial intelligence to detect diabetic retinopathy in retina images. The project bridges with the citizen scientist community of the Zooniverse platform, whereby volunteers are helping to label retina images. Volunteers are performing basic and more advanced screening tasks with a public dataset, such as assessing the image quality, detecting the blind spot and macula and most importantly they help to label lesions. More than 7000 users participated in the “Eye for Diabetes” project, with over 95 000 analysed images.
Author/s: Elisabetta Broglio, Alessandra Merlotti, Marc Martí-Renom, Juan Antonio Rodríguez and Marco Di StefanoPresenter: Elisabetta Broglio
GENIGMA is a smartphone game to identify in a collective way genome fragments that may play a significant role in cancer. The aim is to build cancer-specific genomic references, essential to advancing cancer research and exploring new medical treatments. We are specifically working to decipher cancer cell lines. As human eyes currently perform better than machines in identifying visual patterns, players will scan small DNA fragments to unlock new insights. More than 300 people have already collaborated with the project between 2018-19 through co-design and test events. The game will launch in November 2020.