The UC Center for Environmental Implications of Nanotechnology (UC CEIN) and the NSF iPlant Collaborative are pleased to announce a one-day workshop to address the need to leverage currently available cyberinfrastructure capabilities in order to expand, further develop, and provide access to pertinent data, data mining, and modeling tools across disciplines and research communities dealing with various aspects of biology, plant science, nanotechnology, and the environment. The workshop will bring together experts in the field to:
  1. Review the state-of-the-art implementation of cyberinfrastructure for environmental nanoinformatics
  2. Discuss/propose guidelines for the development/hosting of open-source nanoinformatics tools
  3. Introduce computational and informatics tools
  4. Explore synergistic activities and identify collaborative opportunities among various disciplines including, but not limited to, environmental, toxicological and plant sciences, environmental protection, nanomedicine and nanotechnology.
The workshop is free to attend, but space is limited. Registration is required. Please click here for a detailed agenda.

For more information about the UC CEIN, click here.

For more information about iPlant, click here.

This workshop is funded by the National Science Foundation (NSF) and US Environmental Protection Agency (EPA).

Two events, one location:

The workshop is being held in conjunction with the UC CEIN Nano EH&S Forum: Scientific Advances Towards Reducing Complexity in Decision Making conference to be held on Wednesday, May 8th.  This one-day conference will focus on recent advances in environmental health and safety of Engineered Nanomaterials (ENMs) and how the development of alternative testing strategies for ENMs can be used for decision making in industrial, regulatory, policy and academic setting.  Discussions will include how the advancement of environmental nanotechnology research impacts daily operations and decision making processes.  You must register to attend each event separately.

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