NYC Mid-Town Sublet: 1-Bedroom Pre-War Doorman Apartment (June-July-August)

Due to unforeseen circumstances, I will be away from my mid-town NYC law firm this summer and am urgently seeking to sublet my apartment at 2nd ave and 38th for the months of June-July-August.

This is a one-bedroom, pre-war, 24-hour doorman apartment with South-facing views, laundry, fitness, landscaped open roof space, and a short walk to most mid-town law firms.

Rent is $2,800/month but I would be willing to subsidize some portion of the rent to make a deal happen ASAP.

Please text 440-567-0879 or email adomi@umich.edu for more information.

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Faculty and Staff: Sign up for Alumni E-News

Faculty and staff interested in keeping up with the latest communications to Duke Law alumni can subscribe to e-news, our monthly electronic newsletter. To sign up, send your email address to communications@law.duke.edu.

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Evernote as a note taking tool

There are many note taking tools out there but Evernote is all together something different. We all are jotting things down. Some we really want to save for later reference. Some notes, we want to share with others. It maybe a recipe, a legal note we are researching, a stock tip we just learned or a tech tip we want to try out. With Evernote, we can jot to down, email it, store it, tag it or just delete it after we are done. Evernote can help you organize your thoughts for a book or paper you are writing. You can pull thoughts out of an email and organize around a common theme. You can create an outline or start a chapter. You can have a personal and business copy of Evernote and sync the two. There is a mobile Evernote so you can take it with.

Want to know more? Visit http://evernote.com/evernote/

Source: Wayne Miller

Want to know more about something, or have a tip to suggest? Email dailytechtip@law.duke.edu

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Duke Law Weekly email starts Monday, May 23

The Duke Law Daily email will be substituted by the Duke Law Weekly beginning Monday, May 23. The weekly will be sent every Monday until classes resume. Announcements and Bulletin Board items will run on the Monday selected by the submitter, and will also post on the Daily Blog, and appear on the Duke Law portal pages for a week. News items and upcoming events will still be featured in the Duke Law Weekly.

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Duke Law Weekly email starts Monday, May 23

The Duke Law Daily email will be substituted by the Duke Law Weekly beginning Monday, May 23. The weekly will be sent every Monday until classes resume. Announcements and Bulletin Board items will run on the Monday selected by the submitter, and will also post on the Daily Blog, and appear on the Duke Law portal pages for a week. News items and upcoming events will still be featured in the Duke Law Weekly.

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Got books? Donate them to a good cause!

As some of you know, Professor John Weistart works with on-going projects in Eastern Europe. One of his present projects provides books to under-funded university libraries in the region. While English is increasingly the language of the academy and business, English-language books are a luxury for many universities. US law books are especially difficult and expensive acquisitions. Thus far, the project has donated over 1000 books to partner libraries. If you have books that you would like to donate, please bring them to Brooke Trotter in Room 3029. Her email is brooke.trotter@law.duke.edu. You can also contact Professor Weistart directly (weistart@law.duke.edu).

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Workshop on Big Data and Machine Learning in Law and the Social Sciences

We will be hosting an extended workshop on Big Data and Machine Learning in Law and the Social Sciences from Tuesday May 31st through Friday June 3rd. Each session will be from 9 am to 4 pm (with an hour in the middle for lunch), and will be in Gross 270.

This workshop will focus on the uses and applications of big data and machine learning frameworks, with a particular focus on how these apply to the social sciences. Specifically, we will have a series of workshop sessions lead by Charles Elkan, a professor in the Department of Computer Science and Engineering at UC San Diego and fellow at Amazon’s central machine learning team, for the first 3 days.

For the final day, we will have a day-long seminar on modern applications of Text-as-Data methods lead by Xuejun Liao, a research professor in the Department of Electrical and Computer Engineering.

This workshop is open to people of all skill levels, and can be attended either in its entirety or to just a few sessions.

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