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Recommendation System for Carbon Reduction

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Innovations and Interdisciplinary Solutions for Underserved Areas (InterSol 2022)

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Abstract

Nigeria is one of the country’s most vulnerable to carbon emission (CO2). A basic understanding of public perception on vulnerability, attitude and the risk in relation to Carbon Emissions and health provide strategic directions for government policy, adaptation strategies and development of guidelines. The aim of this research was to collect data on people’s knowledge and perception about Carbon Emissions and their impact on health. A cross-sectional survey was conducted online from 20th to 31 August 2021. A structured questionnaire was used to collect data among 129 people online. This research revealed that respondents had a low and inconsistent understanding of climate change and its impact on health. To reduce carbon emission, we built a carbon emission recommender system, which would calculate carbon emitted by individuals and industries and then suggest alternative resources that can be used to reduce or mitigate carbon emission.

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Acknowledgement

This work was supported by Google Africa travel Grants. We would like to express our deep and sincere gratitude to all the participants.

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Authors and Affiliations

  1. Nile University of Nigeria, Abuja, Nigeria

    Umar Adam Ibrahim & Djadjiti Namla

Authors
  1. Umar Adam Ibrahim
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  2. Djadjiti Namla
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Corresponding author

Correspondence to Umar Adam Ibrahim .

Editor information

Editors and Affiliations

  1. Nile University of Nigeria, Abuja, Nigeria

    Abdulhameed Danjuma Mambo

  2. Carnegie Mellon University Africa, Kigali, Rwanda

    Assane Gueye

  3. Ain Shams University, Cairo, Egypt

    Ghada Bassioni

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ibrahim, U.A., Namla, D. (2022). Recommendation System for Carbon Reduction. In: Mambo, A.D., Gueye, A., Bassioni, G. (eds) Innovations and Interdisciplinary Solutions for Underserved Areas. InterSol 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 449. Springer, Cham. https://doi.org/10.1007/978-3-031-23116-2_12

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  • DOI: https://doi.org/10.1007/978-3-031-23116-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23115-5

  • Online ISBN: 978-3-031-23116-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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