The Routledge International Handbook of Colorism

"""This timely, new handbook offers indisputable evidence of the pervasiveness of racism beyond white societies. Science tells us that skin color is a complex genetic trait that is, in turn, used by all social animals for group recognition. In humans, skin color is the single most socially impactful physical trait - one that reflects poorly on us as a species. We can do better. So now we know that racism in the form of colorism is deeply embedded within the very same populations that are themselves targeted by white racism. I believe that broader realization of the universality of colorism will help us understand that we are more alike than many seem to wish. If we can be purposeful in applying the principles of the enlightenment to social media, this and other scientific realizations can lead to the greater good."" Dr Keith Cheng, Distinguished Professor, Penn State University. Dr. Keith Cheng's research interests currently include phage genetics, E. coli genetics, recombination, cancer genetics, model system genetics, human genetics, human population genetics, genomics, phenomics, anatomic pathology, computational phenomics, automated phenotyping, microCT, synchrotron microCT, high-throughput imaging, machine learning, skin pigmentation, race, natural selection, social selection, music and medicine, piano, violin, classical music, chamber music, public media and web-based resources. The Cheng lab is interested in making fundamental contributions to the understanding of genetic and molecular mechanisms involved in human biology and disease. The lab is interested in genetic aspects of human disease, use of model systems such as the zebrafish, contribution to web-based scientific resources and new, potentially high-throughput forms of 3D imaging. Some of the Cheng lab's specific work is aimed at increasing understanding of the basis of phenotypic variability, particularly as it may impact cancer; basic mechanisms underlying the relationship between human skin pigmentation and skin cancer; contributing to web-based infrastructures for science, education and public service; and working toward a 3D derivative of histology that also allows the identification and characterization of all cell types but utilizes the computer to define slice angle, thickness, point of view and definition of tissues of interest. Obvious implications include automation of phenotyping, including diagnostics."