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Industry 4.0

Industry 4.0 (sometimes referred to as the fourth industrial revolution) is basically the next stage in the digitization of the manufacturing sector. The three previous major shifts in manufacturing have been the 1970s lean revolution, outsourcing boom in the ‘90s and automation in the 2000s. Big data, advanced analytics, artificial intelligence, Internet of Things (IoT), human-machine interfaces and digital to physical transfer (3D printing) are all combining to form the fourth industrial revolution.


Many of these aspects are already in evidence for a lot of businesses but in the coming years are bound to become more prominent. Some will affect the whole supply chain or process while others will only impact a small part. Smart factories will be at the forefront of pushing Industry 4.0 through, making the use of such elements to improve cost-effectiveness and product quality.


In many developing countries, many professionals in government, in industry and serving nongovernmental organizations are challenged by the fast pace of technological change. Science and Technology is without doubt a strategic driver that contributes toward the shift from relatively lower end economic activities into high value added activities.


As such, professionals who understand the dynamics of science and technology within the context of economic and market development, are critical to help in designing blueprints and strategic implementation frameworks to lead strategic transformation within countries and organizations.


Big Data

Day by day more data generated in this new age. How knowledge should be acquired, disseminated and then serve the humans pose a new challenge. Mass data distributed across all social institutions feature different backgrounds, structures and constant growth. They are all there, but the professional in STI cannot make full use of them, due to the lack of interconnection among them. Big Data platform provides a potential solution to collect data resources, to integrate science and technology forces and to strengthen academic exchanges and collaboration to address this challenge.


Relevant data is necessary not only in providing required and timely information for efficient planning but also for monitoring. Within the context of the UN Sustainable Goals, big data can be utilised to get relevant high quality information with greater detail as it supports the integration of data from new technologies with traditional data.


With this in mind, ISTIC, IKCEST and CARISCIENCE are committed in ensuring developing countries are not left behind in the pursuit of economic development impeded by the absence of a technological capability to harness new opportunities, that will generate income, jobs and revenue for countries. The Big Data Application in engineering, science and technology provides a potential solution that can enhance/advance the decision making and problem solving in STI into higher level.


Each category 2 entity shall contribute to the achievement of UNESCO’s strategic programme objectives and global priorities of the Organization, as well as sectoral or inter-sectoral programme priorities and themes, defined in the C/5 document.


5 Advantages of Big Data:

  1. Innovating new business, models, products and services
  2. Creating transparency in organizational activities that can be used to increase efficiency
  3. Enabling more thorough analysis of employee and systems performance in ways that allow experiments and feedback
  4. Segmenting populations in order to customize actions
  5. Replacing/supporting human decision making with automated algorithms




The main objective of training workshop is to provide the necessary knowledge and skills to participants in the organisation to support STI agenda through the establishment of systematic knowledge management with Big Data Technology Application.



What Will Participants Get from This Programme?

Participants in this workshop will be actively involved in:

  • Learning key principles related to Big Data Application and Knowledge Management
  • Acquiring key competencies in:
    • Big Data infrastructures
    • Big Data platforms, analytics and data science.
    • Technology Management Best Practices in establishing the Big Data system.
    • Understanding the technology related to Big Data such as MapReduce, Deep Learning, Deep Search, Knowledge Graph Population, Data Analytics etc.



Expected Outcomes


The outcomes of the training workshop are:

  1. All participants will gain the necessary knowledge and experience on how to establish big data system for STI knowledge management strategies for their countries/organisations.
  2. The establishment of networking among and between participants from the various countries in the Developing Countries.
  3. Participants trained from the workshop can provide training and leadership on Big Data system formulation to other possible audience from their own organisations/countries.



About 30 international participants from developing countries are expected to participate in this workshop. The combination of participants from other developing countries will allow for exchange of knowledge, ideas and experiences as well as opportunities for networking and collaboration.



Criteria of participants

The participants should possess the following criteria:

  • Those who have Diploma, Bachelor’s Degree, Master or PhD in science related to ICT are preferred.
  • Have experience or involves in big data project.
  • Have experience or have been involved in the development and implementation of ICT policy in their home countries.
  • Participants who perform management functions in the middle and upper level of a government organization are preferred.
  • Participants must have good command of English, both in verbal and writing.
  • Participants must be in good health.



The training workshop will be held for 5 days at St. Augustine Campus of the University of the West Indies, Trinidad on September 23-27, 2019.



The organiser of the training workshop will invite experienced experts and specialists which involves in Big Data research and implementations.

Upon completion of training workshop and the presentation, participants will be awarded a certificate issued by the organiser.


Modes of Delivery

The training workshop will be conducted in English. 

The training workshop will be delivered by using the combinations of the following methods:

  • Series of lectures.
  • Discussions and presentations.
  • Study visit to the selected local organisations.

Upon completion of training workshop and the presentation, participants will be awarded a certificate issued by the organisers.



Applicants are urged to use online application. The link of online application form can be accessed from the website www.istic-unesco.org and www.ikcest.org 


Online application form





All applications should be submitted to the ISTIC secretariat office before 30 July 2019. The organiser will inform the successful applicants to the training workshop not later than 31 August 2019. Applicants who do not receive word within this date are consider unsuccessful.





Visa Application

Participant from the countries that required visa to Trinidad & Tobago should get it before leaving home. To apply for visas, participants will be requested by the Embassy or Consulate of Trinidad and Tobago to submit a letter of invitation. The organiser will send an invitation letter as soon as possible to each accepted overseas applicant.


Computer requirement

Each participant is expected to bring with him/her a computer (laptop/tablet) for the study and presentation preparation and communication during the course.


Contact information

For further information, please contact the Secretariat:

Mr. Mohd Azim Noor


International Science, Technology and Innovation Centre for South-South Cooperation under the auspices of UNESCO (ISTIC)



Ms. Ma Yingchen


International Knowledge Centre for Engineering, Science and Technology under the auspices of UNESCO (IKCEST)


Ms Janice Joseph








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