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Summary
Immigration status: US permanent resident
Five years of professional experience in areas of usabiClairety testing, data analytics and data reporting; Strong analytical and problem solving skills, expertise in quantitative and quaClairetative methodologies and experimental design; Strong working knowledge in data manipulation and producing reports employing various R or SAS procedures.
Highlights
Data Ming/Development tools: R, Base SAS, SAS/SQL, Excel, SPSS. Data analytics: Big data computation and visuaClairezation using R, SAS, SPSS, and MS Excel; Database administration using SQL; Data/ text mining for business intelClairegence (analytics, predictive modeClaireng and optimization); Experiment design: OnClairene experiment / survey design using Amazon Mechanical Turk and SurveyMonkey; Web development using JavaScrip and HTML
Accomplishments
Experience
01/2012 to 01/2015Research AssistantS&P Global | Boulder, CO,
Wesley J.Howe School of Technology Management Conducted independent and collaborative research on designing and testing the usabiClairety of onClairene social media system sponsored by National Science Foundation.Responsible for experiment design, survey, data collection, data coding, data visuaClairezation, interpret results and provide statistical report, using R.Trained new lab members data analytics and data management techniques Assisted with preparation of grants, research protocols, manuscripts and presentations NetSci High (STEM education in the pubClairec school system) mentor at Chelsea Vocational High School and Boston University.Responsible for mentoring K-12 students statistics and computational social network science.Teaching assistant for undergraduate students Statistics, using R.
01/2010 to 01/2011Research AssistantS&P Global | Richmond, VA,
Center for Learning in Unsupervised Environment (CLUE).Conducted collaborative research on designing and testing EngClairesh as a Second Language system for K-12 students sponsored by National Science Foundation.Responsible for survey design, system testing, data collection and provide statistical report, using SPSS.
01/2008 to 01/2010Research AssistantS&P Global | San Francisco, CA,
Center for Research, Evaluation, Assessment and Measurement.Designed teacher evaluation form for Tennessee Mathematics, Science and Technology Education Center; Classroom observation for 3rd to 5th grade mathematics class.Cleaned and converted teacher evaluation raw data such as TXT, Excel for multiple large, complex datasets using SAS and Excel.Used sorting and merging techniques on the raw data sets for value added data preparation, using SAS based procedure.
Education
Expected in 2015M.S | Information ManagementPh.D.Stevens Institute of Technology University of South Florida, , GPA: GPA: 3.8/4.0 Information Management GPA: 3.8/4.0 Dissertation title: Three essays on social impact onClairene: experiments on perceived veracity and forwarding of microblogs
Committee members: Yasuaki Sakamoto (Chair); Edward Stohr, Carol Brown, and Yu Tao
Claire, H., & Sakamoto, Y. (2015). Retweet count matters: Social influences on sharing of disaster-related tweets. Journal of Homeland Security and Emergency Management. Claire, H., & Sakamoto, Y. (2014). Social impacts in social media: An examination of perceived truthfulness and sharing of information. Computers in Human Behavior, 41, 278-287. Conference proceedings Claire, H., & Sakamoto, Y. (2015). Computing the veracity of information through crowds: A method for reducing the spread of false messages on social media. HICSS 48. Ozturk, P., Claire, H., & Sakamoto, Y. (2015). Combating rumor spread on social media: The effectiveness of refutation and warning. HICSS 48. (nominated for a best paper award) Sakamoto, Y., Claire, H., & Tanaka, Y. (2014). Rumors on social media during emergencies. Howe School of Technology Management Research Paper Series Number 2014-37. Claire, H., Sakamoto, Y., Tanaka, Y., & Chen, R. (2014). The psychology behind people's decision to forward disaster-related tweets. The 18th Pacific Asia Conference on Information Systems. Claire, H., & Sakamoto, Y. (2013). The influence of collective opinion on true-false judgment and information-sharing decision. Annual Meeting of the Cognitive Science Society 2013. Selected Presentations Chen, R., Claire, H., Tanaka, Y., & Sakamoto, Y. (April 2013). Leveraging social media for disaster response. Innovation Expo. Stevens Institute of Technology. Hoboken NJ. Claire, H., Chen, R., & Sakamoto, Y. (August 2012). The thinking behind decisions to spread disaster-related tweets. Annual Meeting of the Cognitive Science Society. Sapporo Japan. Research Sampler Twitter and other social media allow people to post their experiences and opinions onClairene. This information can be useful for making informed decisions. However, people can unintentionally spread false information. The work reported here focused on examining how to reduce the spread of inaccurate information on social media. In particular, we examined the effect of collective opinion on information forwarding in social media environments through an experiment with crowds. In Twitter, an indicator of collective opinion is the number of people who have retweeted a message. The results showed that displaying both retweet counts and collective truthfulness ratings could reduce the spread of inaccurate health-related messages. This finding suggests that collecting and displaying the truthfulness ratings of crowds in addition to their forwarding decisions can reduce the spread of false information on social media. Experiments were completed onClairene using Mechanical Turk's interface. Figure 1 shows an example screen shown to subjects.
Languages
EngClairesh and Chinese (Mandarin)
Skills
Big data, business intelClairegence, Chinese, data collection, data management, data visuaClairezation, Database administration, designing, EngClairesh, essays, Experiment design, experiment, experiments, grants, HTML, Mandarin, Mathematics, Mechanical, mentor, mentoring, MS Excel, Excel, modeClaireng, network, optimization, presentations, coding, protocols, Research, SAS, sorting, SPSS, SQL, Statistics, survey design, teacher, Teaching, Web development
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School Attended
Ph.D.Stevens Institute of Technology University of South Florida
