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Working with Experts? Know Thyself.

Ever work in a place where you looked up to everyone there because they are experts at whatever they do and can pretty much solve any problem that arises? That’s what working at Exaptive is like. It’s a mix of expertise across various computer/data fields that works very well. Ever felt like you didn’t belong in a place like this?

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An Activity to Improve Idea Generation and Network Brokering

Within a group, a team, a network, or organization that relies on members being connected to one another, connections can be based on a number of factors but almost always rely on the availability, awareness, and mobility of knowledge or information essential to the group. How does information move within a group or across groups? We are interested in identifying catalyzing actions that occur in group interactions to facilitate the ease of information and knowledge exchange and the establishment of new connections of members in the group. Research suggests that ideas have value to the extent that they can be shared with a new or different audience (Burt, 2004). This research also suggests that individuals who can establish new connections within a group bring competitive advantage to the development of new ideas within that group. In our experience, the purposeful translation of ideas to new audiences reduces serendipitous connections and takes advantage of certain individuals’ natural tendencies to broker these connections.

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Use Data, Technology, and Intention to Optimize Team Building

When I first started at Exaptive as a Media Specialist, I heard there was a Design Team, and that they had meetings. I immediately thought, That sounds like a team I should be on! I should go to those meetings. We use design every day in marketing and communications. So, I get to the meeting, and it turns out they are focused on designing the software and the data model.

I don’t code!

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Shedding Light on the "Black Box” of Collaboration

In Stanley Kubrick’s famous film based on Arthur C. Clark’s book, 2001: A Space Odyssey, a mysterious black monolith appears on Earth millions of years before modern humans. It’s the classic “black box.” We don’t know who made it, what’s in it, or how it works, but it’s miraculous and powerful and somehow results in jumpstarting the entire evolution of humankind.

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Ethical Data Standards to Drive Society Forward

I am constantly amazed by the energy and momentum around data science. Only a few years ago, I would be met with a blank stare when I told someone I planned on going to grad school for machine learning. Today, there is no need for my “it's like computer science, linear algebra, and statistics had a combined love child” analogy as most people instantly respond with “Oh, like AI!”

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Sparking Ideas for Visualizing Innovative Research Teams

A collaborative blog series about collaborative research: a data scientist and a cognitive psychologist combine perspectives.

Dr. Alicia Knoedler: For the past 18 years, I have sought opportunities and means to advocate for researchers working to develop and accelerate their research programs. I had the very fortunate opportunity to meet Dave King in 2014 when he relocated his company to Oklahoma City.

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Mapping Science Networks and Projects to Limit the Rise in Global Temperatures

When the United Nations released a report earlier this year that a catastrophic two-degree Celsius (3.6-degree Fahrenheit) rise in global average temperatures is expected to occur in the next decade, there was a media firestorm about the dire predictions. You know who wasn’t surprised? Climate scientists. (Read about the difference a half-a-degree can make.)

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Innovation Management: The Value of Seeing What You Have

If your job is to get your company, team, or community to innovate, you know how organizational forces can make it hard to even try something new. Visualizing the resources available is an effective first step in overcoming some of those organizational forces. Simply being able to see, and show, what you have allows you to make a compelling case for marshaling resources and even spark some initial interactions in that direction.

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How Software Can Augment Human Collaboration

Innovation requires collaboration, but collaboration is stuck in a rut. Data science can help us climb out. It can increase the scale, the intentionality, and the nuance of how we collaborate. With the right data and algorithms, we can set our teams up to do something innovative.

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Using Science to Build a Dynamic Collaboration Engine

“Good ideas are getting harder to find,” Exaptive CEO Dave King quotes a recent paper by MIT and Stanford researchers. He points to the skyrocketing number of researchers employed in the U.S. and contrasts it with the inverse slope on a chart monitoring efficiency of researchers along the same timeline. “Those growing number of researchers are failing to produce value that outpaces what we’re spending to innovate.”

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Cognitive What?! Explaining How to Assemble a Team for Collaboration

So many fantastic quotes are attributed to Albert Einstein. If you hear our CEO Dave King speak, he may bring up his favorite: “Combinatory play seems to be the essential feature in productive thought.” To have an aha moment, we have to play with a challenge from a variety of perspectives. We have to build collaborative teams to tackle complex problems.

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