Understanding the Other Side - The Inside Story of the INFER Project

This source preferred by Marcin Budka

Authors: Musial, K., Budka, M. and Blysz, W.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84879299996&partnerID=40&md5=861a0a2c031ba769d85cf71f239c7ddf

Volume: 18

Pages: 1-9

DOI: 10.1007/978-3-642-34219-6_1

This data was imported from Scopus:

Authors: Musial, K., Budka, M. and Blysz, W.

Volume: 18

Pages: 1-9

ISBN: 9783642342189

DOI: 10.1007/978-3-642-34219-6_1

In the last few years, the collaboration between research institutions and industry has become a well established process. Transfer of Knowledge (ToK) is required to accelerate the development of both sides and to enable them to unlock their full potential. European Commission within the Marie Curie Industry and Academia Partnerships & Pathways (IAPP) programme supports the cooperation between these two sectors at the international scale by funding research projects that as one of the objectives aim at enhancing human mobility. IAPP projects offer people from different institutions the possibility to move sector and country in order to provide, absorb and implement new knowledge in a professional industrial-academic environment. In this paper, one of such projects is presented and both academia and industry perspectives in regard to opportunities and challenges in Transfer of Knowledge are described. Computational Intelligence Platform for Evolving and Robust Predictive Systems (INFER) is the IAPP project that serves as a case study for this paper. © Springer-Verlag Berlin Heidelberg 2013.

The data on this page was last updated at 17:31 on November 21, 2017.