Tuesday, April 23, 2024
Technology

How Are Interdisciplinary Studies Bringing A Sectoral Convergence Between Various Research Frontiers?

Interdisciplinary studies have become a new normal when it comes to increasing convergence between various sectors. In the age of industry 4.0, there is a constant overlap between various research domains. However, we lack a full-fledged discipline to cater to this high degree of overlap between various sectors. This is where the role of interdisciplinary studies comes into play. When we refer to interdisciplinary studies, we are actually referring to prospective and emerging domains like data science, artificial intelligence, machine learning, data analytics, business analytics and the like. Different types of umbrella institutions are coming up that are meeting the requirements of these domains. Analytixlabs stationed in Gurgaon provides a range of the above-mentioned courses. Analytixlabs gurgaon feedback gives a glimpse of the quality training that is imparted in various courses. 

Interdisciplinary studies 

Interdisciplinary studies involve students, professionals, experts, industrialists and researchers from various sectors. These sectors include social studies, science, humanities, engineering and law. Specifically, some of the sectors that have contributed to interdisciplinary research work include, but are not limited to, civil engineering, mechanical engineering, electrical engineering, electronics engineering, computer science engineering, chemical engineering, medicine, metallurgical engineering, data science, data analytics, management, computational science and the like.

Cross-sectoral convergence 

It is an open fact that different types of disciplines are never self sufficient and always require inputs from other disciplines. This is what we call cross-sectoral convergence. Let us briefly examine cross-sectoral convergence with the help of a case study. The phenomenon of data regulation, data privacy and data consent are all intricately linked to data analytics. Moreover, data ethics, data engineering and data management also have some linkages with data science and data analytics. This is where perspectives like legal and social challenges and issues related to data come into limelight. Consequently, it becomes pertinent to mention that these issues and challenges can be handled by cross-sectoral convergence and collaboration. 

Existing research frontiers 

There are a large number of research frontiers that require interdisciplinary studies and research. For instance, projects like tackling online disinformation requires collaboration between legal experts, psychologists, sociologists and data scientists. Similarly, projects like data enabled healthcare also require collaboration between data analysts, data scientists, medical researchers and doctors. In addition to this, consent is also required by the patients whose data we want to collect. 

Hence, the number of research frontiers that are existing in the domain of interdisciplinarity are numerous and are constantly expanding. 

Future scope: New research opportunities 

The above discussion points out that the scope of interdisciplinarity in the age of industry 4.0 is simply phenomenal. New sectors and scientific domains are developing a newfound overlap between each other and with other prospective sectors as well. Credit should be given to the impetus on research that is given by all interdisciplinary centres in general and those established in India in particular. As such, we may expect and witness the growth of new research opportunities and prospects that emerge from the fountain of interdisciplinary science in the next few years.

Editorial Team

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