Ethical spatial data science
When working in data science, GIS, or spatial data science, one thing that you should keep in mind is how to properly use your data in an ethical and responsible way. Interest in the topic of ethics is growing rapidly as companies and organizations must grapple with the meteoric rise of data as one of the most valuable and abundant resources of the modern age. Technological resources are also ever improving our ability to work with large datasets and derive meaning from complex and disparate sources. These technological advantages are not without risks, as the ability to deanonymize sensitive data and the growing number of data hacking incidents where confidential personal details have been made public are something that should keep data practitioners, executives, and leaders up at night.
As a data practitioner, you should be aware that not all data is the same and that data is only as good as the person and process that generates and collects the data...
