Main Track Day 1: Environmental Informatics:

Innovative ways in which information technology can contribute to the understanding, management, and preservation of our environment. As the world faces escalating environmental challenges, the integration of informatics has become crucial for developing sustainable solutions.

- Citizen Science Integration

- AI-Driven Data Analysis

- Crowdsourced Data Annotation and Validation

- Ethical Considerations in Collaborative Monitoring

- Innovations in Data Visualization

- Smart Manufacturing and Sustainable Practices

- Environmental Monitoring in Industrial Settings

- Digital Twins for Environmental Impact Assessment

- Energy Efficiency and Green Computing

- Circular Economy and Supply Chain Sustainability

- Data-Driven Environmental Compliance

- Sustainable Innovation and Technological Adoption

- Environmental Informatics for Waste Management

- Life Cycle Assessment and Environmental Foot

- Sustainable Business Intelligence Strategies

- Environmental Key Performance Indicators (KPIs) and Dashboards

- Decision Support Systems for Sustainable Investments

- Corporate Social Responsibility (CSR) Analytics

- Green Analytics for Compliance Management

- Supply Chain Transparency and Green Procurement

- Carbon Accounting and Emission Tracking

- Predictive Analytics for Environmental Impact Assessment

- Data-driven Sustainability Reporting

• Sub-Track 1

  Collaboration in Environmental Monitoring.

  Diverse range of topics that explore the synergies between human expertise and machine capabilities in the context of environmental monitoring. Researchers and practitioners are encouraged to submit papers and presentations on the following sub-track topics:

• Sub-Track 2

  Informatics for Industry 5.0.

  Intersection of environmental informatics and the emerging paradigm of Industry 5.0. This sub-track explores how advanced information technologies can be applied to achieve sustainable and environmentally friendly practices within the industrial context.

• Sub-Track 3

  Business Intelligence for Green Decision-Making.

  Explores the integration of business intelligence (BI) tools and techniques to support environmentally conscious decision-making within organizations.

• Workshop/s

  Industry 4.0 and Smart Manufacturing, Digital Transformation Strategies, Cybersecurity in the Digital Age.

Main Track Day 2: Environmental Modelling and Simulation:

With a focus on cutting-edge modeling and simulation techniques, this track aims to explore innovative solutions to environmental challenges, predict future scenarios, and inform evidence-based decision-making for sustainable development.

- Dynamic Climate Models

- Ecosystem Response to Climate Change

- Carbon and Greenhouse Gas Flux Modeling

- Integrated Climate-Ecosystem Models

- Paleoclimate Reconstruction Models

- Impact of Climate Change on Coastal Ecosystems

- Data Assimilation Techniques in Climate-Ecosystem Models

- Communication of Model Outputs for Decision-Making

- Environmental Data Analytics

- Predictive Modeling for Sustainability

- Optimization Strategies for Resource Management

- Carbon and Ecological Footprint Analytics

- Supply Chain Sustainability Analytics

- Real-Time Monitoring and Alert Systems

- Spatial Analytics for Environmental Planning

- Circular Economy Analytics

- Social Impact Analytics in Environmental Initiatives

- Decision Support Systems for Sustainable Practices

- Block-chain and Transparency in Sustainability Analytics

- Circular Business Models

- Environmental Accounting and Reporting

- Sustainable Supply Chain Management

- Green Innovation and Product Development

- Eco-Labeling and Certification

- Life Cycle Assessment in Business Decision-Making

- Environmental Risk Management Models

- Triple Bottom Line (TBL) Accounting

- Environmental Risk Management Models

- Biodiversity and Business

- Economic Valuation of Ecosystem Services

• Sub-Track 1

  Climate and Ecosystems Modelling.

  Explore the role of computational models and simulations in predicting environmental changes, assessing risks, and formulating adaptive strategies. Discuss the integration of environmental models with real-time data to enhance predictive accuracy.

• Sub-Track 2

  Analytics for Environmental Sustainability.

  Focuses on the innovative use of analytics and data-driven approaches to address environmental challenges and promote sustainable practices. Researchers are invited to submit papers and presentations covering a diverse range of topics related to analytics for environmental sustainability.

• Sub-Track 3

  Integrated Environmental and Business Models.

  Aims to explore the harmonious integration of environmental considerations into business models. Researchers are invited to submit papers and presentations that investigate innovative approaches to aligning environmental sustainability with business strategies.

• Workshop/s

  Business Intelligence: Data Governance and Management, Advanced Analytics and Predictive Modelling, Business Intelligence Tools and Platforms.

Main Track Day 3: Addressing Global Sustainability Challenges

Addressing the multifaceted challenges that the world faces in achieving sustainable development. Bringing together researchers, policymakers, and practitioners, this track aims to explore innovative solutions, discuss pressing issues, and foster collaboration to address global sustainability challenges.

- Circular Economy Models for Carbon Neutrality

- Waste-to-Energy Solutions

- Circular Supply Chains for Low-Carbon Production

- Recycling Technologies and Climate Benefits

- Carbon Sequestration through Circular Practices

- Sustainable Materials and Low-Carbon Design

- Circular Economy in Urban Planning for Climate Resilience

- Policy Integration for Circular and Low-Carbon Economies

- Consumer Behavior and Circular Choices

- Green Supply Chain Strategies

- Carbon-Neutral Logistics

- Circular Supply Chain Design

- Sustainable Procurement Practices

- Traceability and Transparency in Supply Chains

- Resilient Supply Chains for Climate Adaptation

- Life Cycle Assessment (LCA) in Supply Chain Planning

- Sustainability Risk Management in Supply Chains

- Collaborative and Ethical Supplier Relationships

- Metrics and Key Performance Indicators (KPIs) for Sustainable Supply Chains:

- Social Responsibility in Supply Chain Operations

- Smart Water Management Systems

- Energy-Efficient Smart Buildings

- Smart Grids for Sustainable Energy Distribution

- Data-Driven Approaches to Water Conservation

- Renewable Energy Integration in Smart Cities

- Circular Economy in Smart Waste Management

- Real-Time Monitoring of Environmental Parameters

- Smart Technologies for Water Treatment

- Energy Harvesting in Smart Environments

- Sustainable Practices in Smart Agriculture

- Integrated Smart Solutions for Resource Management

• Sub-Track 1

  Circular Economy and Strategies for Climate Change Mitigation.

• Sub-Track 2

  Supply Chain and Sustainability Planning.

• Sub-Track 3

  Water, Energy and Waste Management in Smart Environments.

• Workshop/s

  Environmental Impact Assessments, Circular Economy Initiatives, Sustainable Supply Chains.