How We Will Use Your Input

Your Contribution to Our Collective Understanding
We are excited to have you join us in a unique project (CASA-Bio) where your insights and ideas are invaluable. By filling out our form, you’ll be contributing to a larger conversation, and here is how:
  1. Sharing Individual Ideas
    When you submit your responses, you’re not just sending information into the void. Your ideas have the potential to resonate with others. As part of our commitment to a collaborative community, we may share your individual ideas with other participants of CASA-Bio or during subsequent meetings. This sharing aims to foster a sense of connection and shared purpose among us all. Patentable ideas, trade secrets, privileged or confidential commercial or financial information, disclosure of which may harm the submitter, should not be included in any submissions.
  2. Creating an Aggregate View via Synthesis
    Your input will also play a crucial role in shaping a bigger picture as we seek to synthesize and identify priority research areas for the next phases of CASA-BIO. We’ll be using text analysis and AI methods to analyze the collective data. The goal is to identify common themes, trends, and topics that emerge from the multitude of voices. Your data, along with everyone else’s, will contribute to this aggregate view, offering us insights that no single perspective can provide.
  3. Privacy and Respect
    While we’re eager to share and analyze ideas, we respect your privacy. Only non-personal, thematic content from your responses will be used in our analyses and shared with others. Your personal details will remain confidential and will not be part of the shared or analyzed data. Please, do not submit sensitive personal information.
  4. Join the Conversation
    By submitting your form, you’re not just sharing information; you’re joining a conversation that spans beyond individuals. You’re helping us all understand how we can contribute as a collective community to advance the bioeconomy.
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CASA-Bio is based upon work supported by the U.S. National Science Foundation under Contract No. 49100423P0058. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.
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