{"title":"The Impact of Artificial Intelligence on International Trade","authors":"C. Tay","doi":"10.4018/jta.20210101.oa6","DOIUrl":"https://doi.org/10.4018/jta.20210101.oa6","url":null,"abstract":"This paper investigates the impact of artificial intelligence on international trade. We use data on neural machine translation & search engines dominating domestic markets from 2016 to 2019, comprising 196 countries to test for their impact on international trade. Three variations of international trade are used: (1) manufacturing trade (sum of manufacturing exports & imports), (2) manufacturing export, and (3) manufacturing import. We cross-breed artificial intelligence theories with that of international economics. We find that artificial intelligence shows significant results at the 1% level for manufacturing trade, at the 10% level for manufacturing export, and at the 1% level for manufacturing import. We also find that as increasing number of languages are introduced through neural machine learning, there is a decreased need to comprehend the language of another country, which in turn, have significant impact on all three variations of international trade. We also find that domestic search engines are increasingly dominating domestic and global market shares.","PeriodicalId":152153,"journal":{"name":"Journal of Technological Advancements","volume":"70 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129341830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Olla, Mustafa Abumeeiz, Lauren Elliott, Vijay Rajasekar, S. Bartol
{"title":"Use of a Blockchain-Based Marketplace to Incentivize Participation in Virtual Clinical Trials","authors":"P. Olla, Mustafa Abumeeiz, Lauren Elliott, Vijay Rajasekar, S. Bartol","doi":"10.4018/jta.20210101.oa4","DOIUrl":"https://doi.org/10.4018/jta.20210101.oa4","url":null,"abstract":"There is an emerging need for advancements in how clinical trials are conducted in the current pandemic situation. Healthcare institutions are moving towards using digital technologies to avoid physical interactions between doctors and clinical trial participants. However, difficulties in recruiting and retaining participants are still prevalent. To overcome this issue, an incentive system that can be trusted by doctors as well as trial participants is required. The authors present a detailed report of Cashish, a blockchain-based incentivization system that rewards trial participants in the form of cryptocurrency tokens that they can utilize in an online marketplace that is also backed by the same blockchain. Usage of blockchain technology to provide research participation incentives eliminates the need for trust systems and ensures transparency between doctors and clinical trial participants, while ensuring participant anonymity.","PeriodicalId":152153,"journal":{"name":"Journal of Technological Advancements","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132660192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}