  The past decade has seen tremendous shifts in how people live, work, and buy
goods, with an increased reliance on e-commerce and deliveries. Purchase
histories generated through e-commerce can be highly personal, revealing
identifying information about individuals and households. Constructing profiles
from these data allows for the targeting of individuals and communities through
practices such as targeted marketing and information campaigns. Furthermore,
when purchase profiles are connected with delivery addresses, these data can
measure the demographics of a local community and allow for individualized
targeting to reach beyond the digital realm to the physical one. Events that
accelerated shifts towards e-commerce, such as an infectious disease epidemic,
have also widened equity gaps. This work is about alternative e-commerce
delivery network models that address both rising privacy and wealth inequality
concerns. This includes strategies that mask and add noise to purchase
histories, and allow people to "buy privacy" through charitable contributions.
