College and Beyond

A Framework for Success in Big Data

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.

The Desire To Use Data

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.

Ocean Tracks: College Edition Modules

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.

“It’s all about critical thinking”

...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.

What are our motivations for teaching with data?

These presentation slides were presented at the Ocean Observatories Initiative (OOI) Teaching with Data Workshop on May 20-22, 2016.

The Children of 2007

This spring is a time for celebrations for my family. We just celebrated our first year in our house and the first anniversary of my starting full-time with EDC. Over the past few weeks two of my sons have graduated from college, and this Saturday my oldest daughter is getting married. Happy days indeed!

Big Data Down on the Farm

Big data has become a big buzzword. For many though, this term remains very much a black box, its real world applications shrouded in ambiguity. For some, big data can often carry some negative connotations: they think of secret government agencies, tracking their every move. They think of large corporations following their every click, peering deep into the souls of consumers to predict their buying habits and preferences. But big data isn’t reserved only for the likes of Google, the NSA, and companies on the Fortune 500.

Sharing What We've Learned Through Ocean Tracks

I first learned of the Oceans of Data Institute because they had a great idea.

Making Smarter Business Decisions with Big Data: A Netflix Case Study

With the recent release of its fourth season, the political drama, “House of Cards” was, and continues to be, a huge success for the online video-streaming tycoon, Netflix. “House of Cards” has garnished critical acclaim: its first season, released in 2013, was nominated for 13 Primetime Emmy Awards and 4 Golden Globe Awards, the first Web-only show to ever receive any such nominations. The popular ratings website, IMDb, scored “House of Cards” a 9.0 out of 10, placing it in the upper echelon of television and online programming. So what’s the secret behind the show’s huge success?

Analytical Thinking in the Workplace and the Classroom

Why Analytical Thinking?
In 2014, ODI gathered an expert panel of professionals that work with big data. After 2 days of intense discussion, this expert panel developed a list of the knowledge and skills essential to working with big data. Their work was then validated by almost 100 peers who work as big data analysts. As you can see below, Analytical Thinking ranked highest in both the knowledge AND skills essential to being an effective big data-enabled specialist.

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