Hackathon: Can you hack a shoeprint?
March 7 @ 9:00 am - 5:00 pm
High quality Forensic Science, like many other areas of science, is underpinned by reliable data. With this hackathon we are challenging data scientists, students, programmers or visualisation experts to help us with an automated analysis of footwear data we are collecting with the support of citizen scientists.
Footwear marks have “class characteristics” which distinguish different types of shoes and brands of shoes from each other. Footwear marks that contain “individual characteristics” which may have come from wear or accidental damage to the shoe sole will aid in making “conclusive” evidence of a mark having been made by a particular shoe.
Join us for a day of data hacking with input from forensic scientists and practitioners and be prepared to contribute your own data (you do have to wear shoes for that)!
Our Citizen Science project “Sole Searching” has collected to date more than 2,000 footwear mark images. We now have to come up with methods to classify and compare the different types to and from each other.
The images are photographs of the shoes themselves together with multiple repeated prints of the footwear mark of the individual either standing, jumping or running. The photos are provided by the general public citizen scientists via a project run by LRCFS (Sole Searching) and come with the shoe’s age, its size and brand.