Indo-German Spring School on

Algorithms for Big Data

February 18 ‒ 22, 2019

Venue : F.C. Kohli Auditorium,
Kanwal Rekhi Building (KReSIT),
IIT Bombay, Mumbai, India

 

German Research Foundation


Home     |     Program     |     Registration     |     Information     |     Organization

ABD2019 Group Photo

Scope of the Spring School

We live in a Big Data world where information is accumulating at an exponential rate and often the real problem has shifted from collecting enough data to dealing with its impetuous growth and abundance. In fact, we often face poor scale-up behavior from algorithms that have been designed based on models of computation that are no longer realistic for big data. The spring school aims for an introduction to the design of efficient algorithms for Big Data problems by lectures from internationally leading experts from computer science and mathematics, addressing in particularily young researchers in India and Germany. The spring school is jointly organised by the Indian Institute of Technology, Bombay and the priority program ''Algorithms for Big Data'' of the German Reserach Foundation (DFG)

 
News
  • Jan 10:
  • Venue for the school is F.C. Kohli Auditorium, KRESIT, IIT Bombay.
    Open Venue in Google Maps
  • Oct 4:
  • Program schedule announced.

Motivation and Objectives

The Indo-German Spring School on Algorithms for Big Data wants to train young researchers, in particular PhD students and postdocs, in algorithmic solution techniques for big data problems. To this end, we bring leading researchers together that work on big data aspects in different scientific subfields - albeit under the common umbrella of efficient algorithms and data structures for large-scale problems. Besides the training, such a forum would allow the exchange of ideas for solving future challenges in the big data context. Moreover, and at least equally important, the lectures presented by international experts introduce students to unfamiliar areas related to each student’s own expertise. The newly acquired knowledge is likely to improve the students’ skills and take their scientific achievements to a higher level.

We will also invite selected industrial researchers from India as speakers. Furthermore, interested practitioners are welcome to attend and share their experience in discussion rounds. This opening to industry is meant to improve the exchange between theory and practice in both directions. Academic researchers learn about application requirements in practice and, in turn, top-notch academic results may enter industrial solutions sooner. This way the workshop would also serve as a platform for seeding new collaborations, both between academia and industry but also within academia across the two countries and beyond.

  Program Schedule.
The summer school is generously funded by the IIT Bombay and the German Research Foundation (DFG) within the priority programme SPP 1736 Algorithms for Big Data