The sharing economy has had significant impact on the way we access a myriad of services.
Existing platforms, such as Uber and Airbnb, rely primarily on a model where a single owner
allows others to share usage of their property. In this talk, I will discuss an alternative model
where ownership is shared by a group, with usage schedules decided by consensus according to
an algorithmic protocol. I will consider three settings in which classic notions from fair division,
social choice, and game theory can be utilized to design shared ownership protocols. Throughout
the talk, I will highlight applications to the sharing of computational resources, a setting where
shared ownership models are already common.
Rupert Freeman is a Ph.D. candidate in the Computer Science Department at Duke University,
advised by Vincent Conitzer. His research lies at the intersection of computer science and
economics, with particular topics of interest including fair division, game theory, social choice
and prediction markets. Freeman spent the summers of 2016 and 2017 as an intern at the
Microsoft Research NYC lab, and is the winner of a 2017-2019 Facebook Fellowship.