Applying Big Data Analytics in Governance to Achieve Sustainable Development Goals (SDGs) in India

2018 ◽  
pp. 273-291 ◽  
Author(s):  
Charru Malhotra ◽  
Rashmi Anand ◽  
Shauryavir Singh
Keyword(s):  
Sustainable Development ◽  
Big Data ◽  
Data Analytics ◽  
Sustainable Development Goals ◽  
Big Data Analytics ◽  
Development Goals

scholarly journals BIG DATA – CATALYST OF SUSTAINABLE DEVELOPMENT

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Mirela Danubianu
Keyword(s):  
Sustainable Development ◽  
Big Data ◽  
United Nations ◽  
Sustainable Development Goals ◽  
Big Data Analytics ◽  
Well Being ◽  
Data Sets ◽  
Digital Revolution ◽  
Development Goals ◽  
The United Nations

Sustainable development involves meeting the needs of the current generation without affecting the possibility of future generations to meet their own needs. This implies the correlation of the immediate objectives with the long-term ones at local and global level, considering the economic and environmental aspects in close interdependence. Released around 2010, Big Data is a generic term that refers those data sets whose features make it impossible to process with traditional database tools. Beyond the significant dimensions, Big Data is defined by the so-called set of Big Data Vs: volume, variety, velocity, veracity, volatility and, not least by the value that their analysis adds to the decision-making process. Starting with 2013, the United Nations through the Global Pulse initiative has defined a new concept - Big Data for Development. It aims to find those data sources whose analysis provides valuable information for ensuring the well-being and development of the society. In 2015, the United Nations launched a new agenda that supports 17 sustainable development goals, whose achievement involves integrated actions that will solve social, economic and environmental problems in a way that will reduce disparities. As we are in the middle of the digital revolution, the following question is inevitable: to what extent and in what way can the data collected and analyzed using the latest technologies help to implement policies that will lead to these objectives? This paper aims to provide a qualitative analysis of how Big Data analytics can influence decisions and catalyze the implementation of policies that will result in achieving sustainable development goals.

scholarly journals Industry 4.0 and Sustainability Implications: A Scenario-Based Analysis of the Impacts and Challenges

2018 ◽  
Vol 10 (10) ◽  
pp. 3740 ◽  
Author(s):  
Silvia Bonilla ◽  
Helton Silva ◽  
Marcia Terra da Silva ◽  
Rodrigo Franco Gonçalves ◽  
José Sacomano
Keyword(s):  
Sustainable Development ◽  
Industry 4.0 ◽  
Sustainable Development Goals ◽  
Big Data Analytics ◽  
Industrial Process ◽  
Raw Material ◽  
The Sustainable Development ◽  
Long Run ◽  
Development Goals ◽  
Negative Impacts

The new evolution of the production and industrial process called Industry 4.0, and its related technologies such as the Internet of Things, big data analytics, and cyber–physical systems, among others, still have an unknown potential impact on sustainability and the environment. In this paper, we conduct a literature-based analysis to discuss the sustainability impact and challenges of Industry 4.0 from four different scenarios: deployment, operation and technologies, integration and compliance with the sustainable development goals, and long-run scenarios. From these scenarios, our analysis resulted in positive or negative impacts related to the basic production inputs and outputs flows: raw material, energy and information consumption and product and waste disposal. As the main results, we identified both positive and negative expected impacts, with some predominance of positives that can be considered positive secondary effects derived from Industry 4.0 activities. However, only through integrating Industry 4.0 with the sustainable development goals in an eco-innovation platform, can it really ensure environmental performance. It is expected that this work can contribute to helping stakeholders, practitioners and governments to advance solutions to deal with the outcomes emerging through the massive adoption of those technologies, as well as supporting the expected positive impacts through policies and financial initiatives.

scholarly journals AI and Big Data Standardization: Contributing to United Nations Sustainable Development Goals

2020 ◽  
Author(s):  
Ray Walshe ◽  
Kevin Casey ◽  
Jane Kernan ◽  
Donal Fitzpatrick
Keyword(s):  
Sustainable Development ◽  
Big Data ◽  
United Nations ◽  
Sustainable Development Goals ◽  
Emerging Technologies ◽  
Communication Technologies ◽  
International Standards ◽  
Information Communication Technologies ◽  
Information Communication ◽  
Development Goals

Emerging Technologies like Artificial Intelligence (AI), Big Data, Internet of Things (IoT), Blockchain and 5G communications are innovation accelerators creating new products, processes and industries by disrupting the Information Communication Technologies status quo. International Standards Development Organisations (SDOs) and Standard Setting Organisations (SSOs) develop and evolve consensus documents of the state of the art and publish these international agreements as Standards. In this document the authors present uses cases where some of these emerging technologies can contribute significantly to achieving the United Nations Sustainable Development Goals.

Global issues

2021 ◽  
Vol 49 (2) ◽  
pp. 9-9
Author(s):  
CSG-Ed team
Keyword(s):  
Sustainable Development ◽  
Big Data ◽  
Science Education ◽  
Sustainable Development Goals ◽  
New Technologies ◽  
Global Issues ◽  
Economic Problems ◽  
The World ◽  
Development Goals ◽  
Analytical Approaches

The growing role that computing will play in addressing the world's pressing global issues has begun to move to center state, as Big Data for the SDGs (Sustainable Development Goals) is now included among the United Nations' Global Issues. The UN summarizes this Big Data issue as "The volume of data in the world is increasing exponentially. New sources of data, new technologies, and new analytical approaches, if applied responsibly, can allow to better monitor progress toward achievement of the SDGs in a way that is both inclusive and fair" [2], Elsewhere, we have applauded and argued for computing initiatives, including computer science education, that specifically focus on such "pressing social, environment, and economic problems" [1] and we acknowledge our SIGs commitment to directly tackling such issues.

scholarly journals Eco-Innovation and Industry 4.0: A Big Data Usage conceptual model

2018 ◽  
Vol 56 ◽  
pp. 05003 ◽  
Author(s):  
Russell Tatenda Munodawafa ◽  
Satirenjit Kaur Johl
Keyword(s):  
Big Data ◽  
Industry 4.0 ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Digital Economy ◽  
Future Research ◽  
New Era ◽  
Data Usage ◽  
The World ◽  
Development Goals

Driven by Cyber Physical Systems, Big Data Analytics, Internet of Things and Automation, Industry 4.0 is expected to revolutionize the world. A new era beckons for enterprises of all sizes, markets, governments, and the world at large as the digital economy fully takes off under Industry 4.0. The United Nations has also expressed its desire to usher in a new era for humanity with the Sustainable Development Goals 2030 (SDG’s) replacing the Millennial Development Goals (MDG’s). Critical to the achievement of both of the above-mentioned ambitions is the efficient and sustainable use of natural resources. Big Data Analytics, an important arm of Industry 4.0, gives organizations the ability to eco-innovate from a resource perspective. This paper conducts an analysis of previously published research literature and contributes to this emerging research area looking at Big Data Usage from a strategic and organizational perspective. A conceptual framework that can be utilized in future research is developed from the literature. Also discussed is the expected impact of Big Data Usage towards firm performance, particularly as the world becomes more concerned about the environment. Data driven eco-innovation should be in full motion if organizations are to remain relevant in tomorrow’s potentially ultra-competitive digital economy.

Sign in / Sign up

Export Citation Format

Share Document