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HHS/NIH/National Institute on Drug Abuse (NIDA)

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Abstract Text:
DESCRIPTION (provided by applicant): Cannabis remains one of the most commonly used psychoactive substances in the U.S., and current changes in legalization policy indicate broadening acceptability. At the same time, substance abusers have sought similar, or more enhanced highs, through use of synthetic cannabinoids, new designer drugs with constantly changing chemical formulations that have been linked to adverse health effects and present significant challenges to public health. Submitted in response to NIDA RFA-CA-14-008 (Research Area 1), this multi-PI study builds on multidisciplinary collaboration between the researchers in the Center for Interventions, Treatment, and Addictions Research, and the Ohio Center of Excellence in Knowledge-enabled Computing at Wright State University to develop an innovative software platform, eDrugTrends, that will facilitate analysis of trends in knowledge, attitudes, and behaviors related to the use of cannabis and synthetic cannabinoids as discussed on Web forums and Twitter. To date, no one has developed a computer platform capable of collecting and semi-automatically analyzing data from these two complementary social media sources. We will build on the existing infrastructure developed by our interdisciplinary research team: Twitris, a robust and highly scalable platform designed to analyze Twitter data, and PREDOSE, a platform developed for our collaborative NIH grant (R21 DA030571) to analyze Web forum data on illegal buprenorphine use. Key elements of Twitris and PREDOSE will be adapted and enhanced using Semantic Web, Natural Language Processing, and Machine Learning techniques to advance the analysis of social media data for drug abuse research and is thus maximally responsive to the RFA. The Specific Aims are to: 1) Develop a comprehensive software platform, eDrugTrends, for semi-automated processing and visualization of thematic, sentiment, spatio-temporal, and social network dimensions of social media data (Twitter and Web forums) on cannabis and synthetic cannabinoid use. 2) Deploy eDrugTrends to: a) Identify and compare trends in knowledge, attitudes, and behaviors related to cannabis and synthetic cannabinoid use across U.S. regions with different cannabis legalization policies using Twitter and Web forum data. b) Analyze social network characteristics and identify key influencers (opinions leaders) in cannabis and synthetic cannabinoid-related discussions on Twitter. The development of eDrugTrends will advance the field's technological and methodological capabilities, and our deployment of the platform will inform the field on new trends regarding the use of cannabis, synthetic cannabinoids and other drugs. eDrugTrends will have high public health impact by providing a tool that can be used to inform more timely interventions and policy responses to changes in cannabis and synthetic cannabinoid use and associated harms.
Project Terms:
addiction; Alcohol or Other Drugs use; Area; Attitude; Behavior; Buprenorphine; Cannabinoids; Cannabis; Characteristics; Chemicals; Collaborations; computer based Semantic Analysis; computer science; Computer software; Computers; Data; Data Analyses; design; Designer Drugs; Development; Dimensions; Drug abuse; Drug Formulations; Drug usage; Drug user; Elements; empowered; Engineering; Epidemiologic Monitoring; Epidemiologic Studies; experience; Goals; Grant; Health; Health Knowledge, Attitudes, Practice; Image; Imagery; improved; Individual; information processing; innovation; insight; Interdisciplinary Study; Internet; Intervention; Knowledge; Laws; Legal; Link; Machine Learning; Maps; meetings; mental state; Monitor; multidisciplinary; National Institute of Drug Abuse; Natural Language Processing; Ohio; Online Systems; Pharmaceutical Preparations; Policies; Process; Public Health; public health relevance; Published Comment; Qualitative Methods; regional difference; Research; Research Infrastructure; Research Personnel; response; Scientist; Seizures; social; Social Network; Source; Spices; Statistical Methods; substance abuse epidemiology; Substance abuse problem; substance abuser; success; Surveillance Methods; Techniques; Time; tool; Toxicology; trend; United States; United States National Institutes of Health; Universities


Contact PI / Project Leader Information:
Other PI Information:
Awardee Organization:
City:  DAYTON    
Congressional District:
State Code:  OH
District:  07
Other Information:
Fiscal Year: 2014
Award Notice Date: 15-Aug-2014
DUNS Number: 047814256
Project Start Date: 15-Aug-2014
Budget Start Date: 15-Aug-2014
CFDA Code: 279
Project End Date: 31-Jul-2017
Budget End Date: 31-Jul-2015
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HHS/NIH/National Institute on Drug Abuse (NIDA)
Project Funding Information for 2014:
Year Agency

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FY Total Cost
2014 NIDA

HHS/NIH/National Institute on Drug Abuse (NIDA)




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