SEI 2018

  This CRA targets initiatives that are well positioned to bring together environmental, social and economic scientists with data scientists, computational scientists, and e-infrastructure and cyber-infrastructure developers and providers for a shared goal: to solve methodological, technological and/or procedural challenges facing interdisciplinary and transdisciplinary environmental change research that involves working with large, diverse and transnational, multi-source data. The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a broader scientific community to benefit from the identified new and potentially disruptive demonstrators or pilots toward solutions.

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Call ​Themes:

1. Enable High-end Data assimilation and Broaden Data Model Intercomparison.

2. Accelerate Data Access and Analysis for Disaster Monitoring and Mitigation.

3. Enable Science Reproducibility and Trust.

4. Transdisciplinary Multi-source Data Management.

5. Lower Barriers to Open Science Practices.

 

Funding Agencies:

• FAPESP(Brazil)

• ANR(France)

• JST(Japan)

• NSTC(Taiwan)

• NSF(USA)