Automating Physicians’ Work: Hackathon for Students of the SAS Institute
The SAS Data Science Hackathon is a student competition aimed to create innovative analytics projects using machine-learning, deep-learning, and text-analytics techniques. We helped recruit students from all over Poland.
A global leader in analytics and AI, the SAS Institute is an American IT company with a branch in Poland. The company’s solutions are used by nearly 80,000 companies and institutions worldwide, including 90 companies from the top one hundred of the Fortune Global 500. The SAS Institute also actively cooperates with academia: SAS software is used in both teaching and research projects.
The goal of the March 2021 hackathon was to develop a solution for the National Cancer Institute to automate the complex processing of doctors’ notes.
OUR ACHIEVEMENTS
Our task at pro science was to recruit students from all over Poland. We attracted over 120 applicants from 19 universities representing 9 Polish regions, twice as many as was originally expected by the client. The participation promotion campaign showcased the work of the SAS Institute’s Polish branch, setting it apart among other national offices.
Thanks to our efforts, the information about the event appeared on the websites of many universities, along with mentions of the SAS’s product Viya for Learners. We also secured the participation of Koźmiński University, a leading Polish business school, as well as the Polish Student Parliament, the largest student organisation in Poland, as the hackathon’s partners.
We published over 20 articles and posts on the websites and social media channels of academic institutions and research institutes as well as articles, featuring SAS Institute experts, in Rzeczpospolita and on the Polish Press Agency’s Science in Poland website.
SAMPLE PUBLICATIONS
https://ug.edu.pl/news/pl/798/pomoz-lekarzom-zaoszczedzic-czas-wez-udzial-w-analitycznym-turnieju-dla-studentow
https://naukawpolsce.pl/aktualnosci/news%2C86956%2Calgorytm-pomoze-w-diagnozie-i-przewidzi-losy-pacjenta.html