Indonesia embraces the Data Science

TL;DR

This paper discusses Indonesia's adoption of data science, showcasing various applications like data cartograms and sentiment mapping that demonstrate how data science is transforming understanding of social phenomena in Indonesia.

Contribution

It presents practical implementations of data science in Indonesia, illustrating how diverse data types are used to generate new social insights and visualizations.

Findings

Development of Indonesian Data Cartograms

Implementation of Celebrity Sentiment Mapping

Social media community detection in Indonesia

Abstract

The information era is the time when information is not only largely generated, but also vastly processed in order to extract and generated more information. The complex nature of modern living is represented by the various kind of data. Data can be in the forms of signals, images, texts, or manifolds resembling the horizon of observation. The task of the emerging data sciences are to extract information from the data, for people gain new insights of the complex world. The insights may came from the new way of the data representation, be it a visualizations, mapping, or other. The insights may also come from the implementation of mathematical analysis and or computational processing giving new insights of what the states of the nature represented by the data. Both ways implement the methodologies reducing the dimensionality of the data. The relations between the two functions, representation and analysis are the heart of how information in data is transformed mathematically and computationally into new information. The paper discusses some practices, along with various data coming from the social life in Indonesia to gain new insights about Indonesia in the emerging data sciences. The data sciences in Indonesia has made Indonesian Data Cartograms, Indonesian Celebrity Sentiment Mapping, Ethno-Clustering Maps, social media community detection, and a lot more to come, become possible. All of these are depicted as the exemplifications on how Data Science has become integral part of the technology bringing data closer to people.