Augmented Claim Craft Ecosystem: HyperKnowledge - OpenSherlock Overview
Channel: CoronaWhy
Date: 2020-07-30

Topic: Augmented Claim Craft Ecosystem: HyperKnowledge - OpenSherlock Overview


Time: Jul 30, 2020 09:00 AM Pacific Time (US and Canada)
Inviting everyone to an exclusive webinar that Marc-Antoine and Jack Park have prepared for CoronaWhy members.






Marc-Antoine - Collective Intelligence Researcher


On a research level, Marc is interested in the process of human decision making. This has led him, over time, to study the human mind under the guise of various academic disciplines: in turn neurobiology, mathematical logic and linguistics. He is now approaching the same issue with a lens from organizational communication and systems theory, with the hope of applying it to tools for large-scale collective deliberation.


However, his academic interests have more often than not been expressed in the form of software rather than papers: whether he has worked on computational syntax or semantics, hypertext or information visualization, he was also interested in formal representations of human thought.


Links:


- https://www.linkedin.com/in/maparent/
- https://www.conversence.com/


Jack Park - AI Researcher and Open-Source Advocate
Jack Park is a computer scientist working in the fields of artificial and collective intelligence. He created, edited, and co-authored the book XML Topic Maps: Creating and Using Topic Maps for the Web, was a Ph.D. student researching the topic of knowledge federation applied to hypermedia discourse, and designs and builds software platforms for knowledge gardening. He was a research scientist at SRI International working on their Cognitive Assistant that Learns and Organizes (CALO) project, and authored and co-authored several conference papers on the subjects of topic mapping and semantic desktop applications for collective intelligence. 


Jack now supports organisations and individuals to co-create business models around not-for-profit and b-corporations, and to co-create open source software platforms. 


Links:
https://www.linkedin.com/in/jackpark/
http://community-intelligence.com/about/team/jack-park/
http://www.ai.sri.com/software/IRIS