2nd EAI International Conference on Emerging Technologies for Developing Countries
May 29–30, 2018 | Cotonou, Benin
The conference AFRICATEK 2018 targets the use of emerging technologies (e.g. cloud computing, IoT, data analytics, green computing, Smart grid etc.) in developing countries. Building innovative solutions and services based on cutting edge technologies is very challenging in developing countries for several reasons. The limited IT infrastructure and Internet penetration are two of the key hindering barriers.
CARI 2018 in STELLENBOSCH (SOUTH AFRICA)
CALL FOR PAPERS
With a modified schedule for paper submission
Call for Papers
The Third International Conference on Intelligent Systems and Computer Vision (ISCV 2018)
April 02-04, 2018, Fez, Morocco
ISCV 2018 is technically Co-Sponsored by IEEE
All accepted and presented papers will be indexed by IEEE Xplore Digital Library and Scopus.
Extended versions of selected papers will be recommended to submit to this Special Issue (ISSN 2313-433X)
After the success of the previous editions, the conference orgnizing commitee is proud to annouce the 3rd edition of the International Conference on Intelligent Systems and Computer Vision (ISCV 2018)
Research Paper Submissions: December 20, 2017
Notification of acceptance: February 07, 2018
Camera-ready: March 05, 2018
Conference date: April 02-03-04, 2018
Call for sessions: International Data Week 2018 for Africa and for the World - Gaborone, Botswana, 22-26 October 2018
Welcome to SciDataCon-IDW 2018
SciDataCon 2018 will address the theme of ‘The Digital Frontiers of Global Science’. In a hyperconnected world where the internet is pervasive and web technologies are driving major changes in our lives, research has become more than ever before digital and international. Furthermore, the major societal and scientific challenges facing humanity in this digital age are profoundly global in character, requiring the participation of researchers from all countries and disciplines. The data revolution is also a major source of the scientific opportunities to address these issues but to realise these potentials the frontiers of science, data analysis and stewardship must be advanced. Likewise, the data revolution must be inclusive, benefiting all, and harnessing all energies: no parts of the world and no disciplines should be left behind.