The LOC describes this archive as a “selective collection of authoritative sites” associated with law schools, research institutes, think tanks, and other expertise-based organizations. “These blogs contain journal-style entries, articles and essays, discussions, and comments on emerging legal issues, national and international,” the LOC says.
No matter the fact that the joy of blogging is in the . . . . blogging, it's gratifying to be recognized as having contributed something valuable...
Coming today to BlawgWorld: Our editorial team has selected and linked to 126 articles from the past week worthy of your attention. Below you'll find a sample article from each section of today's issue, including our BlawgWorld Pick of the Week.
Getting More From Social Media Requires Breaking the Rules
Review: Belkin Ultimate Keyboard Case
Why Hourly Billing Kills the Art of Lawyering
50 Simple Ways to Market Your Law Firm
Congratulations to Jeff Richardson of iPhone J.D. on winning ourBlawgWorld...
Based on our rough calculations, less than $1 out of every $100 of government spending is backed by even the most basic evidence that the money is being spent wisely. As former officials in the administrations of Barack Obama (Peter Orszag) and George W. Bush (John Bridgeland), we were flabbergasted by how blindly the federal government spends. In other types of American enterprise, spending decisions are usually quite sophisticated, and are rapidly becoming more so: baseball’s transformation...
The other day I was talking to a group of attoneys about some of the most useful apps on my iPhone and I mentioned TripIt. Soon thereafter, I realized that I've never posted a review of TripIt on iPhone J.D. This review is long overdue because TripIt has long been one of my favorite apps on my iPhone. The TripIt app is free (as noted below there is also a $0.99 version) but to use it you need to sign up for an account. The TripIt website offers both a free account and a $49/year TripIt...
Researcher Dreams Up Machines That Learn Without Humans | Wired Enterprise | Wired.com. What will happen when the machines can learn from data they haven't seen before? What will happen when you don't have to train the machines? This researcher in deep learning has created algorithms which allow the computers to learn from data they have never seen before. On a large scale, this means that SkyNet is in our future. Thank goodness we will all be dead by that time.