Multiparty computation (MPC) is a subset of cryptography that sits at the intersection of data sharing, data processing, and data privacy. MPC allows a group of actors to run a joint computation on a set of inputs without revealing the contents of these inputs to one another. Translated into layman’s terms, MPC allows a group of actors to combine a set of individual, private inputs to produce a single public output that can be used for the group’s collective action or decision-making. Prior to the advent of MPC, this could only be done with the presence of a trusted third-party intermediary (which sacrificed some privacy).
The ability to extract new information from aggregate inputs while preserving the privacy of the system’s components is what makes MPC such a unique form of technology. MPC can extend to virtually any scenario that involves confidential data shared between multiple parties. Some practical examples include sealed-bid auctions, public voting systems, research that requires the disclosure of sensitive information, and private key management.
Chase's interest in crypto lies at the intersection of economics, psychology, and social coordination.