Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Data science applications in environmental monitoring
- Biological data analysis using machine learning
- Social systems modeling with data science
- Data-driven approaches to ecological research
- Predictive analytics in public health systems
- Data integration for biological research
- Social network analysis in community studies
- Environmental impact assessments using data
- Data visualization for biological data
- Machine learning for social behavior analysis
- Data ethics in biological research
- Big data in environmental policy making
- Data science for sustainable agriculture
- Ecosystem modeling with data analytics
- Data-driven solutions for urban planning
- Machine learning for wildlife conservation
- Social determinants of health and data science
- Data science in disaster response planning
- Data analytics for climate justice initiatives
- Collaborative data science in social research
All papers must be original and not previously published or submitted elsewhere.
