An Automatic Decision Support System for Assessing SDG Contributions

Monica Uttarwar, Girija Chetty

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review


In this paper, we propose an innovative computer-based decision support scheme based on Artificial Intelligence, consisting of novel text mining and machine learning techniques, to assess an organizational commitment to sustainable practices, with a granular analysis of the text content in their documents, and evaluate their conformance and alignment to one or more of the UN’s sustainable development goals. The proposed decision support system can help assist an organization to self-assess their business practices and marketing messages, in terms of presence in the social media channels, company documents, and refine their corporate vision and responsibility statements appropriately.

Original languageEnglish
Title of host publicationAdvances in IoT and Security with Computational Intelligence
Subtitle of host publicationProceedings of ICAISA 2023, Volume 1
EditorsAnurag Mishra, Deepak Gupta, Girija Chetty
Place of PublicationSingapore
Number of pages13
ISBN (Electronic)9789819950850
ISBN (Print)9789819950843
Publication statusPublished - Sept 2023
EventInternational Conference on Advances in IoT, Security with AI, ICAISA 2023 - New Delhi, India
Duration: 24 Mar 202325 Mar 2023

Publication series

NameLecture Notes in Networks and Systems
Volume755 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceInternational Conference on Advances in IoT, Security with AI, ICAISA 2023
CityNew Delhi


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