Code as text: Open source in academia

Authors: Rey, Sergio, Arizona State University

Track: Posters

This talk examines the potential opportunities that open source offers for research and education within academia. Drawing on lessons learned in the development of PySAL: Python Library for Spatial Analysis, it touches on the opportunities and challenges related to the adoption of open source practices and culture inside the academy. While open source has had major impacts on pedagogy and research in spatial analysis, these are somewhat under-appreciated and at times seen as separate spheres. The paper reconsiders open source spatial analysis teaching and research from an integrated perspective and suggests some possible future developments.