Big Data

Preparing Students for a Data-Rich World

This slide deck was presented at East Bay Educational Collaborative Professional Development Center in Warren, Rhode Island on April 12, 2016 where Ruth Krumhansl was a guest speaker. In addition to this presentation, Ruth also led several workshops on EDC Earth Science. The audience was about 45 teachers from all across New England.

Learn more about the workshop.

Building Global Interest in Data Literacy: A Dialogue-Workshop Report

What does it mean to be data literate in the world of “big data”? What should we be teaching students to better prepare them to participate in today’s workforce and society? What steps need to be taken to develop critical data literacy skills in schools? To seek answers to these questions, EDC’s Oceans of Data Institute (ODI) convened an expert panel of both data analysts and educators for a workshop on data literacy.

Visualizing Oceans of Data: Ocean Tracks – A Case Study

In 2013, the Oceans of Data Institute (ODI) released Visualizing Oceans of Data: Educational Interface Design report, which offers a set of guidelines for designing interactive tools to engage students with data. ODI applied these guidelines during the development of Ocean Tracks, an online interface that enables students to explor

Big Data, Big Promise

Ruth Krumhansl, Founder of the Oceans of Data Institute (ODI), describes all the ways big data is changing lives today, the challenges that big data brings, and why ODI is working to transform education to include more data-relevant instruction.

"Data will be part of [student's] future and it should be part of their instruction too".

 

Profile of a Big-Data-Enabled Specialist

ODI gathered a panel of experts from the scientific, education, business, and law enforcement fields to develop an occupational profile that describes the specific skills and knowledge needed to compete in a big-data-centered economy. This work is the first of its kind in the field. It is our hope that the results will help inform conversations about college and career readiness at the K–16 education level.

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.

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.

Big Data, Artificial Intelligence, and You

At ODI, we spend a lot of time writing about the ever-increasing flood of data that our society produces. As scientists (which many of us in ODI happen to be), we tend to focus our thinking on the rapidly growing number of sensors deployed in every imaginable setting on our planet (and beyond!), producing endless streams of data – giving us a fundamentally new window into the workings of the world.

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