A Feeling of Unease About Privacy Law

This essay responds to Daniel Solove\u27s recent article, A Taxonomy of Privacy. I have read many of Daniel Solove\u27s privacy-related writings, and he has made many important scholarly contributions to the field. As with his previous works about privacy and the law, it is an interesting and substantive piece of work. Where it falls short, in my estimation, is in failing to label and categorize the very real harms of privacy invasions in an adequately compelling manner. Most commentators agree that compromising a person\u27s privacy will chill certain behaviors and change others, but a powerful list of the reasons why this is a negative phenomenon that the law should seek to prevent is not a significant attribute of Solove\u27s taxonomy. That omission left this reader a little concerned about the ultimate usefulness of the privacy framework that Solove has developed. To phrase it colloquially, in this author\u27s view, the Solove taxonomy of privacy suffers from too much doctrine, and not enough dead bodies. It frames privacy harms in dry, analytical terms that fail to sufficiently identify and animate the compelling ways that privacy violations can negatively impact the lives of living, breathing human beings beyond simply provoking feelings of unease

Momentum: The Burton D. Morgan Foundation 2009 Annual Report

This annual report gives examples of entrepreneurial activities the Foundation has funded, as well as a list of grants and financial statements for the year 2009. It also includes a letter from the president and a list of board and staff members. As the Foundation navigated the economic storm of 2008-09, we dedicated ourselves to maintaining the momentum of transformative entrepreneurship programs in Northeast Ohio

Finding Top-k Dominance on Incomplete Big Data Using Map-Reduce Framework

Incomplete data is one major kind of multi-dimensional dataset that has random-distributed missing nodes in its dimensions. It is very difficult to retrieve information from this type of dataset when it becomes huge. Finding top-k dominant values in this type of dataset is a challenging procedure. Some algorithms are present to enhance this process but are mostly efficient only when dealing with a small-size incomplete data. One of the algorithms that make the application of TKD query possible is the Bitmap Index Guided (BIG) algorithm. This algorithm strongly improves the performance for incomplete data, but it is not originally capable of finding top-k dominant values in incomplete big data, nor is it designed to do so. Several other algorithms have been proposed to find the TKD query, such as Skyband Based and Upper Bound Based algorithms, but their performance is also questionable. Algorithms developed previously were among the first attempts to apply TKD query on incomplete data; however, all these had weak performances or were not compatible with the incomplete data. This thesis proposes MapReduced Enhanced Bitmap Index Guided Algorithm (MRBIG) for dealing with the aforementioned issues. MRBIG uses the MapReduce framework to enhance the performance of applying top-k dominance queries on huge incomplete datasets. The proposed approach uses the MapReduce parallel computing approach using multiple computing nodes. The framework separates the tasks between several computing nodes that independently and simultaneously work to find the result. This method has achieved up to two times faster processing time in finding the TKD query result in comparison to previously presented algorithms

New Economic Analysis of Law: Beyond Technocracy and Market Design

This special issue on New Economic Analysis of Law features illuminating syntheses of social science and law. What would law and economics look like if macroeconomics were a concern of scholars now focused entirely on microeconomics? Do emerging online phenomena, such as algorithmic pricing and platform capitalism, promise to perfect economic theories of market equilibrium, or challenge their foundations? How did simplified economic models gain ideological power in policy circles, and how can they be improved or replaced? This issue highlights scholars whose work has made the legal academy more than an “importer” of ideas from other disciplines—and who have, instead, shown that rigorous legal analysis is fundamental to understanding economic affairs.The essays in this issue should help ensure that policymakers’ turn to new economic thinking promotes inclusive prosperity. Listokin, Bayern, and Kwak have identified major aporias in popular applications of law and economics methods. Ranchordás, Stucke, and Ezrachi have demonstrated that technological fixes, ranging from digital ranking and rating systems to artificial intelligence-driven personal assistants, are unlikely to improve matters unless they are wisely regulated. McCluskey and Rahman offer a blueprint for democratic regulation, which shapes the economy in productive ways and alleviates structural inequalities. Taken as a whole, this issue of Critical Analysis of Law shows that legal thinkers are not merely importers of ideas and models from economics, but also active participants, with a great deal to contribute to social science research