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Posted on: December 17, 2018

SML to participate in second annual Beanstack Winter Reading Challenge

Winter Reading Challenge

Read with us this January as we participate in the second annual Beanstack Winter Reading Challenge! You will be able to sign up on January 1, 2019, and we challenge you to read at least three books during the month to be entered in a drawing to win gift cards to Dairy Queen, Starbucks, Subway and more.

We are one of more than 250 public libraries and school systems throughout the United States participating in the second annual Beanstack Winter Reading Challenge, sponsored by billionaire investor and Shark Tank personality Mark Cuban. This year, Cuban challenges schools and libraries to meet a collective goal of reading at least five million minutes and 75,000 books during the month of January. If achieved, Cuban pledges to donate $35,000 to the top-performing libraries and schools.

“Now, more than ever, we are distracted by screens and don’t take the time to simply read. But research shows the power of reading for as little as 6 minutes a day and I personally make time to read every morning,” says Cuban. “This Winter Reading Challenge gives us the opportunity to inspire people around the world to read more. What better resolution to have than to start the New Year with a good book!”

From January 1 through January 31, patrons of all ages are encouraged to read at least three books during the month to contribute to a community goal of 500 books read. Those who read at least three books will be entered into a drawing to receive cool prizes, such as Dairy Queen, Starbucks, or Subway gift cards.

Participants are encouraged to keep track of their reading through Beanstack, a web and mobile application that makes it easier for students and families to track reading and stay motivated while providing insights and data about reading habits to school and library administrators.

Registration for the Winter Reading Challenge opens January 1. You will be able to register on our Beanstack site.

SML's Beanstack site
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