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Share Your Work to Innovate

I presented at the ISPIM Conference in 2020 (ISPIM: International Society of Professional Innovation Management) on how co-production can bridge the gap between academic research and industry use-cases creating shared, collective intelligence. Co-production in this context is people with different skills and areas of expertise working on a common goal. By sitting at the intersection of these divergent perspectives, co-product marries aspects of each viewpoint, bringing ideas born in research to life in industry.

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Use Data, Technology, and Intention to Optimize Team Building

Cleaning data is often the primary job of the data scientist, and not necessarily the one they signed up for.  While getting the "words" right with computers is important, it is not fraught with the nuance that getting words right with humans is. Across disciplines the same word can have entirely different meanings and this miscommunication is only one aspect of team building that can go awry.

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How Software Can Leverage Collective Intelligence and Facilitate Innovation

Innovation requires collaboration, but due to the current state of our filter bubbles, collaboration is stuck in a rut. Data science utilizing knowledge graphs and team and portfolio optimization software 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 use software to optimize our teams and facilitate innovation.

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Human Resource Management: Utilizing your collective intelligence for team optimization

Human Resources... HR... Human Capital Management, no matter what you call it, people are the beating heart of any organization. Taking a data driven approach to mapping the skill-sets of the people in your organization not only allows Leadership to optimize team formation, but provides an opportunity for hidden talents in your people to emerge.

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Innovating With The Team You've Got

You can find all sorts of “how to” treatises on assembling a team built for innovation, and they all include some subset of the following concepts - bring in experts, make sure they are diverse, have wide-ranging skillsets and have them be people who aren’t afraid to buck the system or go against the flow. Then don’t distract them with mundane tasks and give them enough time and money to actually accomplish their innovation mandate.

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No, you can’t “Gift” tear gas in the office gift exchange

Unlocking team creativity during a pandemic.

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What Neuroscientists and Software Developers Discovered in a One-Day Hackathon

The goal: investigate huge amounts of research data in new ways. The pool for teams: neuroscientists, data scientists, and software developers. The result: answering questions we didn’t even know we had.

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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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Tell your story at all times. When necessary, use words.

In the early 1990s, Burger King began an ad campaign that had a massive impact on consumers, especially in the United States. Anytime I hear the words, “Your way, right away,” I immediately hear the jingle that went along with it. The promise that you could have anything you wished -- and have it immediately -- was adopted in many sectors and pushed as good customer service, whether you’re in Human Resources and your customer is an employee, or you’re in Client Support and your customer is the client.

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Mapping Expertise and Illuminating Dark Assets

At some point in your life, you’ve found yourself describing a project you’ve worked on to a friend. They interject, “I’ve done something similar to this before,” and go on to describe a field or skill you didn’t know they were familiar with. You’ve just uncovered some dark assets about your friend: a set of skills or knowledge that were only discovered due to an accidental trigger.

This can be problematic when it comes to group projects, whether you’re working with an existing team or you’re putting one together. The people and tools available to you are limited to those you are aware of or those cataloged in scattered directories and lists across the internet. There are far more dark assets than known assets.

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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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Finding Balance on the Spectrum Between Lone Geniuses and Team Scientists

 

James Verdier: Hi, I'm James Verdier and welcome to the American Institute of Biological Sciences’ BioScience Talks which is a forum for integrating the life sciences. On the second Wednesday of each month we discuss the latest bioscience publications. And as a reminder if you'd like to read more point your browser to academic.oup.com/bioscience.

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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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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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