Workshop Date/Time: Wednesday, March 8, 2023, 11:00am–12:30pm
If you are working on a computational text analysis project and have wondered how to legally acquire, use, and publish text and data, this workshop is for you! We will teach you 5 legal literacies (copyright, contracts, privacy, ethics, and special use cases) that will empower you to make well-informed decisions about compiling, using, and sharing your corpus. By the end of this workshop, and with a useful checklist in hand, you will be able to confidently design lawful text analysis projects or be well positioned to help others design such projects. Consider taking alongside Copyright and Fair Use for Digital Projects.
Please sign up today and join us online on March 8.
CAN WE AFFORD PRIVACY FROM SURVEILLANCE? DO WE WANT TO?
Speaker: Jeffrey MacKie-Mason
Wednesday, September 23, 2015, 4:10 pm – 5:30 pm
202 South Hall
The extent to which we are subject to surveillance — the collection of information about us, by government, commercial, or individual agents — is in large part an economic question. Surveillance takes effort and resources — spend more and we can do better surveillance. Protecting against surveillance also takes effort and resources. Given the state of technology, the amount of effort and money each side expends determines what is surveilled and what is kept private. As technology changes, both the cost and the desirability of surveillance, and protection against surveillance, change. We can confidently predict that information technology and communication costs will continue to decrease, and capabilities to surveil and protect against it will improve. What are the consequences for our privacy? Will we have a future with more or less privacy? Which do we want?
Bio: Jeffrey MacKie-Mason will be joining UC Berkeley on October 1 as University Librarian and Chief Digital Scholarship Officer. For the past 29 years, Jeff has been a faculty member at the University of Michigan, where he was the Arthur W. Burks Collegiate Professor of Information and Computer Science, and also a professor of economics and a professor of public policy. For the last five years he has been the dean of Michigan’s School of Information. Jeff has been a pioneering scholar of the economics of the Internet and online behavior and a frequent co-author with the Berkeley I School’s first dean, Hal Varian. He has also led the development of the incentive-centered design approach to online information services.