Researchers

Using Online Telescopes to Explore Exoplanets from the Physics Classroom

Thanks to the development of online telescopes, students can detect more than a dozen of the known exoplanets from the classroom, using data they gather, assess, and interpret for themselves. This program presents a suite of activities in which students apply basic physics concepts to their investigations of exoplanets....

Tools for Building a Big Data Career Path

The documents included in Tools for Building a Big Data Career Path can assist schools looking to design and implement career pathways in big data.  These tools have been used by community colleges involved in the NSF-ATE funded Creating Pathways for Big Data Careers (DUE-1501927). They consist of:

1. Building Blocks for a Big Data Career Pathway
This template can be used to present the programs, courses, supporting activities, school and employer linkages that comprise a school’s proposed pathway.

Exploring Data through Ocean Tracks

This video was featured in the 2017 STEM for All Video Showcase, held May 15-22, 2017. View the presentation.

Reviewing Ocean Tracks at Scripps

In May, I visited La Jolla and Scripps Institute of Oceanography for the first time. Coming from Maine and what seemed like a never-ending winter I was looking forwards to the sun and warmth of California. Of course, I arrived on an unusually rainy day. However, the weather soon returned to its usual splendor and I walked along the shore to the meeting room at Scripps where I was to help work on the undergraduate modules of Ocean Tracks.

Ocean Tracks - College Edition: Lessons from a 2YC MSI

As an oceanography instructor, I aim to engage students with authentic data, particularly when introducing concepts or processes. One of my primary learning objectives for introductory students is to interpret and critically analyze data presented to them. Data interpretation has become an important 21st century skill for students who may only complete a single college level science course.

To Make a Video?

ODI is the sum of many parts. Comprised of 18 projects (5 actively funded) and about 25 staff, there are a lot of moving pieces to ODI. At any given time—in addition to the regular day-to-day work of moving 5 NSF-funded projects forward successfully—our staff is attending or presenting at conferences, meeting with partners and funders, and/or working on proposals for future work. As you might imagine, we are careful to prioritize our time.

Reflecting on Finland

It’s been a few months since I last contributed to the ODI blog, and boy, a lot has happened in my blogging hiatus! We had leaks, hacks, an election, and the Cubs finally won the World Series (though I’m still not convinced this last one isn’t “fake news”). Through it all, the ODI team has been hard at work making new connections and continuing our efforts to better prepare K-16 students with the data literacy skills required to navigate the aforementioned rapidly changing world. Unfortunately, I can’t take credit for any of the great work the ODI team has done these past few months.

What does the Data/Big Data Practitioner need to know and be able to do?

Cover of the Profile of the Data PractitionerIt is no longer news that the use of data-based decision making has reached a critical mass in every industry sector.

Assessing Global Kelp Forest Change: From “Little” To “Big” Data

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.

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