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DESCRIPTION:Feeding Democracy & Accelerating Convergent Innovation: Technoc
 ultural Transitions toward a Semantic Web and Internet of Food\n\nDr. Matt
 hew Lange\n\nFounder and CEO of the International Center for Food Ontology
  Operability Data and Semantics (IC-FOODS)\n\nIC-FOODS is a non-profit res
 earch center recently spun out of UC Davis dedicated to assembling technol
 ogies and coalescing organizations around Semantic Web and Internet of Foo
 d technologies and frameworks. Well versed in food\, biological\, and heal
 th sciences as well as cutting edge information and education technologies
 \, Dr. Lange guides teams toward design\, build\, and implementation of kn
 owledge environs that enable end-users to make new and insightful discover
 ies\, create new products\, and improve human living conditions. Dr. Lange
  publishes\, teaches\, and consults internationally on strategies and conc
 eptual models for enterprise\, industrial\, and government scale ag-food-d
 iet-health knowledge infrastructures\, food/ingredient product development
 \, and technologies that enable personalization at scale.\n\nAbstract\n\nI
 n the history of technology\, artificial intelligence has emerged as nothi
 ng less than a quantum-level socioeconomic and sociocultural game-changer\
 , able to affect change at scales larger and more rapidly than at any mome
 nt in human history. At the same time\, block-chain and distributed comput
 ing technologies are enabling a decentralization of resources\, eliminatin
 g single-points of failure\, and offering transparency across digital reso
 urces that have traditionally been black boxes. These new technologies\, t
 ogether with increasing cross-sector embracement of ontologies as disambig
 uating semantic web glue\, provide an opportunity for society to advance a
 n Internet of Food (IoF) broadly\, diversely\, and inclusively with tracea
 bility\, transparency\, and trust as techno-philosophical underpinnings of
  its digital fabric. Yet currently AI and blockchain resources are difficu
 lt to use\, let alone develop. While powerful\, AI has also been shown to 
 be biased against historically socially and economically disadvantaged peo
 ple in a variety of ways. At the same time\, research around explainabilit
 y of machine learning algorithm results is only just beginning\, and sever
 al socio-technical barriers to explainable AI adoption remain at individua
 l\, industry\, and government levels. In this talk Dr. Lange provides a co
 nceptual framework of technologies and social organization for advancing a
  democratized Internet of Food\, highlighting potential regulatory and bus
 iness models for improving and securing digitally enhanced distributed\, i
 nclusive\, traceable\, transparent\, and trustworthy local-to-global food 
 systems\n\nChair: Laurette Dubé (Scientific Director of MCCHE)\n	Co-Chair &
  Moderator: John G. Keogh (Managing Principal\, Shantalla Inc. Toronto )\n
 	A panel discussion will follow.\n\nLearn more about The Convergent Innovat
 ion Webinar Series\n
DTSTART:20210506T150000Z
DTEND:20210506T160000Z
SUMMARY:CI Webinar Series: Dr. Matthew Lange
URL:/desautels/channels/event/ci-webinar-series-dr-mat
 thew-lange-330726
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