623 0 Kommentare EY announces winners of EY NextWave Global Data Science Challenge launched to connect STEM students worldwide - Seite 2

Second place: Katherine Edgley and Philipp Barthelme. Katherine is from the US and is pursuing her Master's degree in Computational Applied Mathematics at the University of Edinburgh; Philipp is from Germany and is pursuing his Master's degree in Statistics with Data Science at the University of Edinburgh. Katherine and Philipp used recurrent neural networks – which use sequential formation to make predictions – to create models that could provide companies and people with optimal traffic routes and parking, for example.

Third place: Chia Yew Ken. Chia is from Singapore and is currently pursuing an Engineering Bachelor's degree in Information Systems Technology and Design with a specialization in Artificial Intelligence at the Singapore University of Technology and Design. Chia used long-short-term-memory (LSTM), a special form of recurrent neural networks that can retain memory over long periods of time and are used to classify, process and make predictions. Chia developed models that could be used to identify over-crowded roads and intersections, reschedule traffic or schedule road work.

Future for the EY NextWave Data Science Challenge

Moving forward, EY teams are implementing an enhanced EY NextWave Data Science Challenge that deepens their relationship with students and will enable students to participate in potentially world-transforming initiatives and earn EY Badges.

The new program will publish challenges on an ongoing basis and students will achieve EY Badges by solving the issues and participating in innovative crowdsourcing initiatives. For example, an online marketplace and a discussion board will help students connect and create inclusive, global teams to tackle the challenges. University faculty can also create challenges to motivate students with real-world issues, either as an assignment or to propose competitions to the global community of students.

Beatriz Sanz Saiz, EY Global Advisory Data Analytics Leader, says:

"Our goal is to mobilize millions of students worldwide through this network, so that they contribute, together with EY teams, to build a better working world, with a sense of purpose, belonging and reciprocity as they develop their skills in data science. The EY NextWave Data Science Challenge connects students with academic leaders, industry professionals and real-world challenges to foster future career development. We are proud of today's EY NextWave Data Science Challenge winners, who have demonstrated innovative approaches to creating smarter cities and improving mobility. We hope that their projects, and the new Challenge we're announcing today, will inspire even more students to embark on STEM careers."