CI Webinar Series: Dr. Matthew Lange
Feeding Democracy & Accelerating Convergent Innovation: Technocultural Transitions toward a Semantic Web and Internet of Food
Dr. Matthew Lange
Founder and CEO of the International Center for Food Ontology Operability Data and Semantics (IC-FOODS)
IC-FOODS is a non-profit research center recently spun out of UC Davis dedicated to assembling technologies and coalescing organizations around Semantic Web and Internet of Food technologies and frameworks. Well versed in food, biological, and health sciences as well as cutting edge information and education technologies, Dr. Lange guides teams toward design, build, and implementation of knowledge environs that enable end-users to make new and insightful discoveries, create new products, and improve human living conditions. Dr. Lange publishes, teaches, and consults internationally on strategies and conceptual models for enterprise, industrial, and government scale ag-food-diet-health knowledge infrastructures, food/ingredient product development, and technologies that enable personalization at scale.
Abstract
In the history of technology, artificial intelligence has emerged as nothing less than a quantum-level socioeconomic and sociocultural game-changer, able to affect change at scales larger and more rapidly than at any moment in human history. At the same time, block-chain and distributed computing technologies are enabling a decentralization of resources, eliminating single-points of failure, and offering transparency across digital resources that have traditionally been black boxes. These new technologies, together with increasing cross-sector embracement of ontologies as disambiguating semantic web glue, provide an opportunity for society to advance an Internet of Food (IoF) broadly, diversely, and inclusively with traceability, transparency, and trust as techno-philosophical underpinnings of its digital fabric. Yet currently AI and blockchain resources are difficult to use, let alone develop. While powerful, AI has also been shown to be biased against historically socially and economically disadvantaged people in a variety of ways. At the same time, research around explainability of machine learning algorithm results is only just beginning, and several socio-technical barriers to explainable AI adoption remain at individual, industry, and government levels. In this talk Dr. Lange provides a conceptual framework of technologies and social organization for advancing a democratized Internet of Food, highlighting potential regulatory and business models for improving and securing digitally enhanced distributed, inclusive, traceable, transparent, and trustworthy local-to-global food systems
Chair: Laurette Dubé (Scientific Director of MCCHE)
Co-Chair & Moderator: John G. Keogh (Managing Principal, Shantalla Inc. Toronto )
A panel discussion will follow.
