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Data for Good: The Year in Review

January 2, 2019 Leave a Comment

2018 was a landmark year during which the D4G community both grew and drew closer together, coalescing into a stronger, more vibrant, and more distinct movement. Many more organizations, projects, positions, conferences, and conference sections distinctly labeled as D4G were apparent. With this increased visibility has come more opportunities.

Detroit, Ann Arbor Chapters Recognize K–12 Poster Winners

August 1, 2018 1 Comment

From left: Bob Peterson, Karry Roberts, Kathy Peterson, Jaclyn Golaszewski, Mickala Winne, Samantha Dulz, Rob Kushler, and Violet Fiddes. The three poster winners won an honorable mention in the Grades 7-9 category of the competition for their poster titled, “What’s Up with Binge Watching?”

Members of the ASA Detroit and Ann Arbor chapters recently presented students with awards for the ASA National Data Visualization Poster Competition and Michigan Statistics Poster Competition.

2016 Poster and Project Competition Winners

August 1, 2016 Leave a Comment

The American Statistical Association is pleased to announce the winners of the 2016 Poster Competition and Project Competition, which featured creative studies from high-school students across the country.

Statistics Poster and Project Competition Winners

August 1, 2014 1 Comment

FIRST PLACE Anthony Aronson, Gino Bartolini, and Brooke Shirley It’s in the Bag Saltsburg Elementary School Saltsburg, PA

The American Statistical Association is pleased to announce the winners of the 2014 Poster Competition and Project Competition.

NSF Funding Opportunities of the CDS&E-MSS Program

October 1, 2012 Leave a Comment

The Division of Mathematical Sciences at the National Science Foundation launched a new program called Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (CDS&E-MSS) in October 2011 to promote the creation and development of the next generation of mathematical and statistical theories and methodologies that will be essential for addressing computational or big-data challenges in various sciences, engineering, and education. Read on to learn about the type of projects funded.

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