Final Report: Optimizing Data and Discovery Knowledge Transfer Across Researchers and Stakeholders Using Innovative Technology (“Cognitive Cities”)
Dates
Publication Date
2023-08-07
Citation
Derek Rosendhal, 2023-08-07, Final Report: Optimizing Data and Discovery Knowledge Transfer Across Researchers and Stakeholders Using Innovative Technology (“Cognitive Cities”): U.S. Geological Survey.
Summary
Climate adaptation services require the involvement of multiple parties with different interests. Climate services experts must deeply understand the social networks of decision makers and researchers alike to be able to connect information to the people who need it. They also conduct research, meet the requirements of their organization and funding sources, mentor early-career researchers and students, find collaborators to fill gaps in research team expertise, and keep abreast of new publications and datasets. In an information-heavy world, these actions can be time-consuming. Artificial intelligence (AI) and data mining can help these professionals to accomplish their tasks with less time and better outcomes. This project starts [...]
Summary
Climate adaptation services require the involvement of multiple parties with different interests. Climate services experts must deeply understand the social networks of decision makers and researchers alike to be able to connect information to the people who need it. They also conduct research, meet the requirements of their organization and funding sources, mentor early-career researchers and students, find collaborators to fill gaps in research team expertise, and keep abreast of new publications and datasets. In an information-heavy world, these actions can be time-consuming. Artificial intelligence (AI) and data mining can help these professionals to accomplish their tasks with less time and better outcomes.
This project starts addressing many of these complex, data-intensive tasks by leveraging a partnership with Exaptive, Inc and their Cognitive City (CC) software platform. We established a South Central CASC CC to contain knowledge assets (expertise, research, and applied work) and the activities, actions, and collaborations among its members, and used AI tools to visualize and assess large quantities of information. We are establishing this CC as the primary index for content relevant to network activity and event planning for the South Central CASC.
Once the system is fully in use, the CC will: (1) serve as an accessible tool to help researchers accelerate the advancement of scientific knowledge, (2) reduce the reporting burden for researchers, allowing them to output content they input throughout the year about meetings, publications, presentations, etc., (3) enable early-career researchers to more efficiently develop their research network, leading to more equitable outcomes in the generation of research teams and proposals, (4) empower administrators to find emerging research opportunities, network strengths and weaknesses, and content for required reports without overtaxing researchers with requests for information, and (5) provide managers greater access to datasets, tools, expertise, and collaboration opportunities to enhance their productivity.