Laura Anne Edwards is founder of DATA OASIS and serves as a NASA Datanaut, TED Resident and with SheCanHackIT. Brian Ardinger, Inside Outside Innovation founder, talks with Laura Anne about sustainable innovation and big data.
Important Take Aways:
Sustainable Innovation is Key!
- Maintain innovation over time through systems. What you are doing, who you are doing it with, and create creative collisions.
- Key elements: Know who you’ve hired. Use innovation audit to look at information flow.
- Address process changes, information flow, and awareness about how to support creativity.
What trends and tactics are useful?
- Small changes in meeting schedule, office layout, what info is shared. Eg – Donut carts bring out introverts
- What can you do to create intentional and organic collisions for the team.
- How to change info flow to build on introverts in the room.
- What is your company’s version of prototyping?
- Do you have regular airing of ideas, instead of annual sharing. Appeals to extroverts and performance.
- Can’t keep doing same five things.
- Look at who you have and what you are trying to do.
Have trends and tactics changed over time?
- Don’t just put creativity into tech teams.
- For diversity, look at age, race, and where people come from, but go deeper. Look for different ways of thinking. Understand your people.
- Product managers act as facilitators, instead of driving the product.
How do you measure if the company is on the right path?
- Retention of talented teams and ability to use teams to understand and be a feedback loop.
- We’ve applied industrial tactics to human assets. Need new set of processes and facilitation.
How does open data change the way we create and build new innovative ideas?
- By connecting and making available the silos of open data, it solves the last mile problem.
- Apply new big algorithms and computing powers to open data. Currently there is no tracking of doctoral research.
- We don’t have a data arch. What information is most important to us?
- Data Oasis creates an index of data sources and wikis. Models of gathering info around subfields. Marrying it with AI.
You can also check out her TED Profile (https://www.ted.com/profiles/845) or this article on her work at NASA (https://open.nasa.gov/blog/data-discovery-mapping-nasa-dataverse/)
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