It’s hard to create effective interdisciplinary teams or facilitate useful interdisciplinary exchanges. Research grants are increasingly calling for interdisciplinary collaboration as a requirement for funding. Interdisciplinary endeavors are popping up in academic settings and research foundations. Interdisciplinarity is a necessity for solving complex problems. But executing interdisciplinary collaboration is easier said than done. Data science and data visualization can help, by identifying fruitful common ground between people with different expertise. Software can systematize effective interdisciplinary collaboration.

Written by Savaram Ravindra, Content Lead at Mindmajix Introduction A neural network is an assembly of simple processing units, nodes,

Dark assets are important resources that you don't know about. A useful innovation platform would include network diagrams and suggestion engines to help identify dark assets.

Engineers took inspiration from a children's toy to enable blood diagnostics to be done inexpensively in remote areas.

Based on a chance encounter, astronomers discovered they could use MRI technology for 3D visualizations of astronomy data.

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article by and images from Dr. Victor Soji Ladele Humanitarian crises in general are affecting more people, for longer. One in

Disclaimer: We make no claims of ownership on this content. We just found a cool video on YouTube about an

Disclaimer: We make no claims of ownership on this content. It's just a cool story about an exaptation that we

A collaborative blog series about collaborative research: a data scientist and a cognitive psychologist combine perspectives. co-authored by Dr. Alicia