At many levels, BioTeam is a Scientific Systems Design organization. To accelerate scientific discovery, we’ve helped design everything from traditional bioIT systems such as HPC systems, national network systems, cloud computing systems, data management systems; to other types of complex systems—software, organizations, policies and procedures, and even data ecosystems. A key factor in the success of these systems is designing for change, both to achieve change, and to accommodate change. In this webinar, Dr. Simon Twigger shares best-practice approaches to solving complex technology and data science problems that slow down scientific research using examples drawn from various consulting projects, and provide some tips and tricks that anyone can use to solve similar challenges.