![]() Repetition - Supervisors/mentors end up repeating themselves to trainees, experts end up being asked the same questions over and over.Proliferation of incorrect/suboptimal knowledge - People may be stuck in ‘local minima’, doing what they were told was the best way without having been given a range of responses.Siloed knowledge - It is difficult to find specialised, or even basic, knowledge without having to read detailed papers or contact specialists.Inequality/inclusiveness - It reinforces existing power structures, as there will be a large disparity between help and resources available for different people, and there often aren’t enough experts to help everyone Loading Tour Start here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about our products current community. Loading Tour Start here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about our products current community.This might be the people at a certain talk/conference, or in extreme cases just the singular recipient of an email.Īlthough this works relatively well, there are significant downsides, including: In addition, the answers to specialised questions are normally only accessible to the limited number of people. Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field. Loading Tour Start here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about our products current community. learning how to do your first PCR from the Postdoc in your lab). In Synthetic Biology, we largely have an apprenticeship model for learning (e.g. If you need any help using StackExchange (we know it can be a little intimidating at first!), you can contact us using the email synbiose igem org or on the #stackexchange channel in the iGEM global slack workspace. ![]() If your question is related to SBOL, or a question that is more focussed on the computational side of SynBio, it might be better asked in the Bioinformatics StackExchange ( ⇗). If your question is SynBio related, tag it with #synthetic-biology so that people who are experts can see it. Or, if you want to share your expertise, you can help others out by answering their questions. If you have questions about designing genetic constructs, building your strains, interpreting your data, or anything else related to the biological side of your project, you can ask them there. Stack exchange is a network of sites for technical Q&A where anyone can ask and receive expert responses to their questions. This year the Engineering Committee is encouraging the use of StackExchange to better answer questions, facilitate more collaboration between teams and engage the wider SynBio community.
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