Available at the front desk on both campuses, The Out-of-Door Academy ~ Eighty-Five Years of Reflection is on sale for $30 (tax included). All proceeds from book sales will go to building a permanent archive for the school. Own a piece of Out-of-Door's history today!

Looking for a summer activity for children between the ages of 4 and 13? Then mark your calendar for Camp ODA! Available on a week basis or in two, two-week sessions, Camp ODA runs from 9:00 a.m. to 3:00 p.m. during the weeks of June 14 – July 9, and extended care is also available from 7:30 a.m. to 5:30 p.m. for $200 per session. Click above to download the brochure or contact Kim Chait at kchait@oda.edu or at 554-5950 for questions.

The February 19, 2010, edition of the Tampa Bay Business Journal profiles Mr. David Mahler for his "tips of the trade" while also highlighting his background and "words to the wise." To view the article, click on the above link.

Congratulations to Vanessa Moody '10 on advancing to Finalist standing in the 2010 National Merit Scholarship Program. This distinction places her in a group of approximately 15,000 students representing less than 1% of high school graduating seniors.

Congratulations to Jamie Onufrak '10 on signing his letter of intent to play football for the University of Alabama at Birmingham; he is the first Out-of-Door player to commit in the school's four-year football history. The 6'3" tight end had 24 catches for 320 yards and four touchdowns in the Thunder's state semifinal run this season. Onufrak and teammate A.J. Strong '10 garnered 1st Team All-State honors in the 2009 year; Andrew McInnis '10 earned 2nd Team All-State.

Congratulations to Brittany Wenger '13 on winning the Sarasota Regional Science, Engineering and Technology Fair and thereby becoming one of two area finalists in the Intel International Science and Engineering Fair. Her computer science category entry is titled "Does Practice Make Perfect? The Role of Training Neural Networks" and seeks to identify the optimal way to train neurons for real-life neural networks.