In Part I, we explain several theories on why PAEs are beneficial or detrimental to the patent system. These theories outline distinct categories of patent holders who enforce their patents. Transforming the distinct categories into a coding scheme, we detail in Part II the methodology we used to generate the dataset. Part III provides descriptive statistics of 2010 and 2012 patent litigation. We discuss implications of the data, including points of disagreement between our data and the data of others, in Part IV. We also describe some areas of future study, many of which we are presently undertaking. Finally, we provide a brief conclusionCo-authored with Jay Kesan and David Schwartz

Every day billions of users allow cloud-based internet services to collect, store, and manage their personal information. The use of this information is constrained only by long, wordy privacy agreements that users likely did not read before clicking "Agree." Even if they were to read them, would users understand these policies? We present the results of a two-part privacy survey that assessed users' knowledge and opinions of online privacy issues. We asked users not only what they think, but what they know. Results expose several key knowledge gaps, demonstrating a problem of information asymmetry between users and internet services providers, and strong dissatisfaction with the current system. These findings demonstrate that there is insufficient comprehension and voluntariness in the consent process for users to give informed consent to the collection and management of their personal information, which may in part explain the "privacy paradox."

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