Welcome to the 1st ACM Europe Summer School on Data Science
The 1st ACM Europe Summer School on Data Science will take place in Athens on July 13-19 2017. Young Computer Science researchers will have the opportunity to attend courses in the topics of Data Science, Data Management and Analysis, Machine Learning, Big Data, Security and Privacy, etc.
The summer school is addressed to young Computer Science researchers and engineers, i.e. young faculty, postdocs, PhD candidates, young engineers from industry and in some special cases MSc students or even senior undergraduate students. In terms of its format, the school will be mostly a mix of formal lectures in the morning and practical exercises in the afternoon with a final test at the end of the week.
The School focuses on data science and big data, areas with extensive activity in Europe. Particularly issues on the intersection of Data Management and Analysis, Machine Learning and -more strictly on the side of computer sciences- Social Networking, Security and Privacy will be covered through a set of 6 courses.
Keynote lectures by major figures in the field will also be given at key points of the program. All courses will take place in the Royal Olympic Hotel, which is located in the center of Athens. Students will be accommodated in the hotel. An interesting and stimulating complementary social program will take advantage of the historical surroundings of the venue.
Student fees are covered by ACM and the other School sponsors and include the following: all course material and documentation, accommodation for 7 nights (in: 12 July, out: 20 July) in the 4* Royal Olympic Hotel (in double occupancy rooms or students appropriately paired up, with breakfast and lunch included), and several social activities (details to be announced soon). Personal expenses and any other expenses not expressly stated here (e.g flights to and from Athens, single occupancy accommodation etc) are not covered by the School.
The School is organized and sponsored by ACM, the ACM Europe Council, ACM SIGMOD, “Athena” Research and Innovation Center and the National and Kapodistrian University of Athens.