Overview
We focus on utilizing AI to address a critical issue in synthetic biology: expression, with the ultimate goal of further validating the practicality and scalability of the proposed learning paradigm of transfer learning and AI models in the field of synthetic biology. To assess whether Pymaker could bridge the data gap, which represents the final frontier of AI in the field of biology, and finally benefit synthetic biology, it is critical to engage all stakeholders who may be affected by our solutions and those who may influence our solutions. We also participate in meetups extensively to communicate with various teams, getting suggestions for our projects. Our interactions with these stakeholders and kindred spirits have taught us more about the intersection of the two frontiers of AI and synthetic biology, and have shaped our project. Additionally, we are committed to impart synthetic biology knowledge and ideas to the wider community to bring positive impact on the society. This page provides an overview of all the work of our Human Practices. Be sure to click on each link to see how Human Practices are benefiting and shaping our project.
Timeline
May
June
Discussion with experts of synthetic biology and AI (about the shortcomings of the current design and arrange for the planning of upcoming experiments)
Questionnaire (about the application, evaluation and future of AI in working and research)
July
10th CCiC (share our project and communicate with over 80 teams)
University education lecture in Nanjing University (themed on AI for Biology)
Volunteer teaching in secondary school in Yunnan
Publish science promoting articles on official accounts (about Mucosal vaccine, AI for synbio and transfer learning)
August
Seminar discussion on AI for synbio (share ideas about the application of AI in synthetic biology with other iGEM teams)
Visit to Carbon Silicon Institute of Artificial Intelligence Biomedical Research and interview the principal
Visit to Nanjing Yiweisen Biotechnology Co., LTD and interview the principal
Visit to Genscript Biotech Corporation. and interview the bioinformatics senior engineer
Color the picture book about synthetic biology with AS children and introduce synthetic biology
September
Debate competition (about the pros and cons of AI application in education and Scientific research)
Stage play for senior high school students ( about the discovery of DNA and our project)
Integrated HP
On the integrated Human Practices page we explain the problem we face and how we came to
the solution to the problem. To validate the problem and the solution, we involved the
stakeholders and their requirements in project, and managed them as efficiently as
possible through a power-interest matrix. We worked with our stakeholders to examine the
needs, technical, corporate, social, safety and ethical considerations of the project.
To do this, we have communicated with various stakeholders, including synthetic
biologists, AI experts, AI pharmaceutical companies and others through online and
face-to-face interviews, as well as on-site surveys. Based on the feedbacks, we closed
the loop between what was designed and what is desired.
Please click the integrated HP
link
to read the complete Human Practices journey we went through with our partners.
Partnership
We are pleasant to work with several different iGEM teams on various kinds of collaborations,
which we benefit a lot and they can also learn something from us. Through collaborations, we
provide and get peer support and review, enhance creativity and advanced our project.
Please click the partnership
link
to learn more about our communications and collaborations with other teams.
Education
It's interesting and meaningful to communicate and share knowledge around our project, and
expand the boundaries of our work. We believe that, on the one hand, more efforts are needed
to promote the field and iGEM competition by making the public aware of the many real-world
problems that synthetic biology can solve. On the other hand, we hope to share how AI has
helped us in solving problems using synthetic biology methods, and how it is easier than we
thought for non-AI professionals to use AI tools to assist their work and life, ranging from
pupils to professors.AI for synbio in general and all the jobs that are part of this field
deserve to be put under the spotlight and we wanted to contribute to that.
Please click the education link to
read the convivial moments of discovery, sharing and exchanges of scientific interests.