Kate MacCord

Project Coordinator, Center for Biology and Society, Arizona State University

Kate became the Project Coordinator for the Center for Biology and Society at Arizona State University in August of 2013. In this position, she works to secure funding for and manage the products of digital and computational projects, such as the Embryo Project Encyclopedia (http://embryo.asu.edu/), the MBL History Project (http://history.archives.mbl.edu/), and the HPS Repository (https://hpsrepository.asu.edu/). In addition to her position as Project Coordinator for the Center for Biology and Society, Kate is also a PhD candidate in its history and philosophy of science track, with a research interest in the intersection between development and evolution.

About the Center for Biology and Society @ Arizona State University

The Center for Biology and Society (https://cbs.asu.edu/) at Arizona State University promotes research, education, and engagement related to study of the life sciences and their interconnections with society. As a research center within a large, non-profit university, we strive to understand the ways in which the history, philosophy, ethics, policies, and laws surrounding the life sciences all intersect. In order to do this, we host a number of growing digital and computational projects, including the Digital Innovation Group (DigInG: http://devo-evo.lab.asu.edu/diging/), the Embryo Project Encyclopedia (http://embryo.asu.edu/), the MBL History Project (http://history.archives.mbl.edu/), and the HPS Repository (https://hpsrepository.asu.edu/). We are also a founding member of the digital history and philosophy of science consortium (dHPS: http://digitalhps.org/)—a collective of projects invested in applying data-centric methods to the field of hps.

The Center for Biology and Society @ Arizona State University & RDA

The Center for Biology and Society at Arizona State University has been on the forefront of promoting open access for digital assets in the history and philosophy of science, as well as pushing the field of history and philosophy of science to re-envision itself as a part of the era of big data, and to adopt digital and computational research methods.