Data are invaluable. How can we assess the value of data objectively, systematically and
quantitatively? Pricing data, or information goods in general, has been studied and practiced …

Multiagent systems combine multiple autonomous entities, each having diverging interests
or different information. This overview of the field offers a computer science perspective, but …

We study the role that privacy-preserving algorithms, which prevent the leakage of specific
information about participants, can play in the design of mechanisms for strategic agents …

In blockchains such as Bitcoin and Ethereum, users compete in a transaction fee auction to
get their transactions confirmed in the next block. A line of recent works set forth the …

Mobile crowdsourced sensing (MCS) is a new paradigm which takes advantage of
pervasive smartphones to efficiently collect data, enabling numerous novel applications. To …

Data only generates value for a few organizations with expertise and resources to make
data shareable, discoverable, and easy to integrate. Sharing data that is easy to discover …

In the design and analysis of revenue-maximizing auctions, auction performance is typically
measured with respect to a prior distribution over inputs. The most obvious source for such a …

Bike sharing provides an environment-friendly way for traveling and is booming all over the
world. Yet, due to the high similarity of user travel patterns, the bike imbalance problem …

What price should be offered to a worker for a task in an online labor market? How can one
enable workers to express the amount they desire to receive for the task completion …

We consider price-setting algorithms for a simple market in which a seller has an unlimited
supply of identical copies of some good, and interacts sequentially with a pool of n buyers …