5th International Winter School on Big Data

BigDat 2019

Cambridge, United Kingdom - January 7-11, 2019

Important dates

Early registration deadline ⇢ 8th December, 2018

Big Data

Large Scale Machine Learning

Data Mining

Hadoop / Spark/ MLLib

Neural Networks / DeepLearning

Distributed computing

SCOPE

BigDat 2019 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data, which covers a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 2 keynote lectures, 24 four-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.

ADDRESSED TO

Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2019 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.

VENUE:

BigDat 2019 will take place in Cambridge, a city home of a world-renowned university. The venue will be:


  • University of Cambridge
  • Department of Engineering
  • Trumpington Street
  • Cambridge CB2 1PZ

STRUCTURE

3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.

Keynotes and Courses (24)

Keynotes (to be announced)

Courses

SPECIAL SESSIONS

Open session

An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david@irdta.eu by December 30, 2018.

Industrial session

A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. At least one of the people participating in the demonstration must register for the event. Expressions of interest have to be submitted to bigdata2019@mrao.cam.ac.uk by December 30, 2018.

Employer session

Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. At least one of the people in charge of the search must register for the event. Expressions of interest have to be submitted to david@irdta.eu by December 30, 2018.

Registration

It has to be done at:

http://bigdat2019.irdta.eu/registration/

The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event.

Fees

Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.

Certificate

A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.

Question and further information

David Silva: david@irdta.eu

Acknowledgments