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ICBDISC · Registering as Listener

International Conference on Big Data Innovation for Sustainable Computing

23 - 24 Mar 2027 Babruysk, Belarus Standard / Physical Participation
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$125
virtual · $155 in person
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Registration summary

ConferenceICBDISC
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICBDISC conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 2 - Zero Hunger SDG 7 - Affordable and Clean Energy SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities
01 Innovative Big Data Techniques for Sustainable Engineering +
This track focuses on the latest advancements in big data methodologies that enhance sustainable engineering practices. Researchers are invited to present novel approaches that leverage big data analytics to improve resource efficiency and reduce environmental impact.
02 Computational Models for Environmental Sustainability +
This session will explore computational models that address environmental challenges through the lens of big data. Contributions should highlight how these models can facilitate sustainable decision-making in various sectors.
03 Data-Driven Solutions for Renewable Energy Systems +
This track examines the role of big data in optimizing renewable energy systems and their integration into existing infrastructures. Papers should discuss innovative data-driven strategies that enhance the efficiency and sustainability of energy production.
04 Smart Cities and Sustainable Urban Development +
This session focuses on the application of big data in the development of smart cities aimed at promoting sustainability. Researchers are encouraged to share insights on how data analytics can improve urban planning and resource management.
05 Big Data Analytics in Agriculture for Sustainable Practices +
This track highlights the use of big data analytics in agriculture to promote sustainable farming practices. Contributions should explore how data can be utilized to enhance crop yield, reduce waste, and improve soil health.
06 Sustainable Computing Architectures and Technologies +
This session will delve into the design and implementation of sustainable computing architectures that minimize energy consumption. Papers should present innovative technologies that support green computing initiatives.
07 Machine Learning Applications for Environmental Monitoring +
This track invites papers that showcase machine learning applications in monitoring environmental parameters. Emphasis will be placed on how these applications can contribute to sustainability and conservation efforts.
08 Big Data Security and Privacy in Sustainable Computing +
This session addresses the critical issues of data security and privacy in the context of sustainable computing. Researchers are encouraged to discuss frameworks and technologies that ensure the protection of sensitive data while promoting sustainability.
09 Interdisciplinary Approaches to Big Data and Sustainability +
This track promotes interdisciplinary research that combines insights from engineering, physical sciences, and life sciences to tackle sustainability challenges using big data. Contributions should reflect collaborative efforts across diverse fields.
10 IoT and Big Data for Sustainable Resource Management +
This session focuses on the intersection of Internet of Things (IoT) technologies and big data in managing natural resources sustainably. Papers should explore how IoT-generated data can inform better resource allocation and usage.
11 Ethical Considerations in Big Data for Sustainability +
This track invites discussions on the ethical implications of big data usage in sustainability initiatives. Researchers are encouraged to examine the balance between innovation and ethical responsibility in data-driven sustainability efforts.