By kkrumhansl on December 07, 2016
I can feel the energy of the waves gently pushing at my body, the sound of bubbles rising by my ears. I look down at my underwater clipboard and carefully write down “5”; the number of kelp stems, or fronds, that I’ve just counted. I let my tethered pencil go, and it floats up in front of me as a fish swims by. Everything seems to move in slow motion around me. I am relaxed, but focused.
By rKochevar on November 04, 2016
I got up at 4:15 AM to fly from Monterey, CA to Boston, and I don’t fly back until November 8 – which meant that one of the last things I did last night, after packing and before falling asleep, was to fill out my absentee ballot for the big election. I am so relieved. I’ve voted. Any more last-minute surprises will be too little, too late.
By rKochevar on October 20, 2016
This past weekend I was invited to run a 2 1/2 day workshop for the Community College Undergraduate Research Initiative. CCURI (pronounced “curry”) is an NSF-funded program involving 50 community colleges, and the focus of this workshop was to engage a dozen CCURI professors in developing activities for their students to work with authentic scientific data.
In April 2016, a panel of Big Data experts identified the big data skills, knowledge and behaviors of a "Data Practitioner" that are needed in the workplace. The panelists represent a diverse array of industries, including biotechnology, finance, law enforcement, health care, agriculture, and public policy.
By rkrumhansl on September 13, 2016
What an expert sees in a data visualization is not what a novice sees. This is an important lesson learned from a two-year project undertaken by the Oceans of Data Institute, funded by the National Science Foundation.
By bgranofsky on August 29, 2016
Big data continues to revolutionize almost every discipline. But a key question—how universities can prepare students, researchers and staff with the skills appropriate for success in big data—is largely left unresolved.
By rkrumhansl on August 17, 2016
The Oceans of Data Institute has put considerable energy into understanding what it means to be data literate in the age of “big data”. We, of course, are not the only ones interested in this as awareness of the shifting landscape grows. An internet search we did recently revealed attempts by organizations around the world to describe data literacy with definitions that vary in length from a short sentence to more than 200 words.
These modules were developed to engage undergraduate students with authentic scientific data through investigations that mirror those currently being conducted by scientists studying the broad-scale effects of climate and human activities on top predators in ocean ecosystems. Using the Ocean Tracks interactive map and data analysis tools, students will explore and quantify patterns in the migratory tracks of marine animals in the northern Pacific Ocean and relate these behaviors to fluctuations and trends in physical oceanographic variables.
By pmcdeed on August 05, 2016
The work of a teacher rarely ceases once the doors of the school finally close for summer vacation. Just a few short days after the school year had ended, I had the opportunity to head back to my old high school stomping grounds and reconnect with many of the teachers who were, and in some cases continue to be, my most influential mentors, helping to shape me as a learner and as a person. But this time, instead of turning to former teachers for wisdom, I was suddenly being treated as the “expert” in the room.
By rkrumhansl on June 30, 2016
...this is a phrase I’ve heard repeatedly from expert big data analysts since we first launched the Oceans of Data Institute in 2013. Indeed, in ODI’s 2014 survey of close to 100 big data analysts, analytical thinking and critical thinking emerged at the top of the list of skills and knowledge essential to working with big-data across a broad spectrum of disciplines.