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Science-driven e-Infrastructure Innovation (SEI) for the Enhancement of Transnational, Interdisciplinary and Transdisciplinary Data Use in Environmental Change (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.

Theme1

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

Theme 2

Accelerate Data Access and Analysis for Disaster Monitoring and Mitigation.

Theme 3

Enable Science Reproducibility and Trust.

Theme 4

Transdisciplinary Multi-source Data Management.

Theme 5

Lower Barriers to Open Science Practices.

Call Themes:

Funding Agencies:

FAPESP(Brazil), ANR(France), JST(Japan), NSTC(Taiwan), NSF(USA) 

Belmont Forum Program Office, NSTC

Center for Sustainability Science,

Academia Sinica,

No. 128, Sec. 2, Academia Road, Taipei, 115201 Taiwan

 

© 2024 by Belmont Forum Program Office

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Modern Architecture

Taiwan's Action:

(ACCEDE) Abrupt Change in Climate and Ecosystems: Where are the Tipping Points?

Pao-Kuan Wang/Academia Sinica

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