Customer success story with Martin Briggs
What made you realize that you needed something like Iris.ai?
I realized my literature searches were not dynamic enough, and I was invariably missing important recent work in the hydrologic sciences, especially as that work spans chemical, health, and remote sensing literature spheres in addition to the physical hydrologic journals.
How did you find out about Iris.ai Researcher Workspace?
I was searching online for smart platforms and applications that could help me with my literature searchers and that’s how I came across the Researcher Workspace.
Could you tell me about a project where you used Iris.ai for?
I used the Researcher Workspacde to develop a background context for a study on emerging contaminant transport from groundwater to surface water.
Can you talk us through the process of how you used Iris.ai for that project?
I used Iris.ai tools to search through the Core database and my personal collection of article PDFs using the abstract from a paper that was well aligned with my research themes. Then I used the visual map created by the Explore tool to better understand how the main themes of that paper were connected to other work. After that I accessed specific papers that were rated as highly relevant and connected to at least two prominent themes and read them for additional detail.
What challenges did you experience that Iris.ai helped you overcome?
I found several highly relevant contaminant fate and transport papers that occurred in chemical sciences journals I do not typically track, and otherwise would have missed them. Also, Iris.ai was helpful in finding related research at the global scale, not just North America and Europe where many hydrology journals are focused.
Would you recommend the Researcher Workspace to other people and would you consider using it later on with your new job?
Yes, I have already recommended it to my colleagues.