Projects like HuBMAP bring together hundreds of scientists, students, and practitioners working towards a shared goal. Interdisciplinary expertise, datasets from many labs using diverse types of technology, and code and infrastructure developed in academia and industry need to be effectively combined to make the project a success. Managing such a large, interdisciplinary project or being a productive team member is non-trivial.
Models and visualizations of science and technology can be applied to predict, understand, communicate, and implement desirable futures. They help us answer questions about the inner workings of scientific teams, quantify the impact of scientific work, develop education programs that truly serve workforce needs, hire and support junior researchers so they become pioneers of tomorrow, and communicate the value and complexity of science and technology innovations to the public.
Full paper: https://www.pnas.org/content/115/50/12573
Other papers in this special issue of PNAS can be found at https://www.pnas.org/modeling