SCIENCE COMMUNICATION LAB INC

Explorer's guide to biology (xbio): educational materials for undergraduate students the mission of xbio is to create a free learning resource that emphasizes the wonders of life and the problem-solving nature of science. Many students approach biology with initial excitement but leave their course discouraged after memorizing a sea of facts. The wonder of science and the thrill of discovery are not being communicated. Xbio's audacious goal is to offer students a more exciting and accurate window into the life sciences. In addition, we want to offer students a great learning experience for free, recognizing the financial burden imposed by textbook costs. As of juily 1, 2023, xbio will become an independent organization in the next fiscal year.

Enhancing biomedical training and diversity through a hispanic science network the scl is producing free online courses for the yale ciencia academy (yca) for career development, a program that provides doctoral students from underrepresented backgrounds in biomedical and behavioral sciences with opportunities for mentoring, networking, and skills development, and for making contributions to their communities through science outreach. The scl is pioneering new approaches to science filmmaking, science communication research, and distribution, while making engaging content for the public and educational communities. Special initiatives in science communication special initiatives include science communication efforts that do not fall under ibiology, wonder collaborative, or xbio. The scl's current special initiative is focused on how the public engages with science through data visualizations. Visualizations are representations of data such as animations, simulations, graphs, or other visual forms. They enable the human visual system to make discoveries, look for patterns, and see phenomena that cannot be seen in numerical datasets. Visualizations have always been a critical means of both doing and communicating science, but have become increasingly important as computational tools have rapidly advanced. This initiative focuses on understanding how the public interprets and engages with scientific data in informal learning settings such as films, museums, and beyond. Field wide knowledge and resources will be synthesized, cross-disciplinary convenings will be held, and projects reflecting best practices will be created.