- Register the team, have a great summer, and plan to have fun at the Giant Jamboree.
- Meet all deliverables on the Competition deliverables page (section 4).
- Convince the judges that you have completed Competition Deliverable #5 Attributions from this page: Link
- Successfully complete the InterLab Measurement Study: Link
- Convince the judges that at least one new BioBrick Part (Basic or Composite, must be RFC10 compatible) of your own design that is related to your project works as expected. Clearly document the experimental characterization on that Part's Main Page on the Registry. You must submit a sample of this new part to the Registry (following the Registry submission requirements). This part must be different from the new part documented for Gold #2 : BBa_K2564000
- Convince the judges you have significantly worked with one (or more) currently registered 2018 iGEM team(s) in a meaningful way. For example, mentor a team (or be mentored by a team), characterize a part, troubleshoot a project, host a meetup, model/simulate a system, or validate a software/hardware solution to a synbio problem. : Link
- Convince the judges you have thought carefully and creatively about whether your work is responsible and good for the world. Document on your team wiki how you have investigated these issues and engaged with your relevant communities, why you chose this approach, and what you have learned. Please note that surveys will not fulfill this criteria unless you follow scientifically valid methods. : Link
- Expand on your silver medal activity by demonstrating how you have integrated the investigated issues into the purpose, design, and/or execution of your project. Document on your team wiki how your project has changed based upon your human practices work. : Link
- Convince the judges that your project's design and/or implementation is based on insight you have gained from modeling. This could be either a new model you develop or the implementation of a model from a previous team. You must thoroughly document your model's contribution to your project on your team's wiki, including assumptions, relevant data, model results, and a clear explanation of your model that anyone can understand. : Link