ConTech’s insightful series of webinars at 4.30pm BST each Wednesday continues.
Open science is important, but it is also hard. Unfortunately, “hard” has often meant that scientific quality checks are both slow and inadequate, falling in an unsatisfactory middle ground between two opposing goals. Currently, it can take months or years to publish the results of one’s research, yet the lengthy peer review process does not guarantee that science will be open, transparent, and reproducible.
Dr Leslie McIntosh, CEO Ripeta, will present ‘Making Better Science Easier’ on July 8, 2020.
In this presentation Dr. McIntosh will walk through recent improvements in scientific publishing. She will specifically highlight how policy affects practice and how to simultaneously increase the speed and accuracy of quality checks. Interested parties may visit www.contechlive.com to register for this webinar.On July 15, 2020, Yewno’s Chief Data Scientist, Haris Dindo, will present ‘Why Knowledge Graphs are Important for Scholarly Publishing.’
Over the past 30 years, we have been living in the Information Economy. Valuable content is proliferating at an unprecedented rate. However, information is fragmented, making it nearly impossible for humans to gather, read, and process every valuable piece of information that is relevant to them.
AI is now expected to be the main driver of productivity and economic growth for at least the next 20 years. For publishers, this is extremely important as the ability to locate and market content can impact their bottom lines. Knowledge Graphs are becoming increasingly important in understanding data that is continuously growing and changing. Essentially, their dynamic nature keeps pace with data evolution. In this session, Haris Dindo will talk about the dynamic significance of knowledge graphs and their fluid nature in managing scholarly content. Interested parties may visit www.contechlive.com to register for this webinar.
Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.
