Richcraft Hall Atrium, Carleton University
Event POSTPONED due to Strike at Carleton University !
New date and time will be psoted here once available
The Statistical Society of Ottawa (SSO) will be among the sponsors of the upcoming Data Day 5.0, organized by Carleton University Institute for Data Science (CUIDS). This annual forum celebrating advances in data science and analytics research at Carleton University, and from the wider local communities of Ottawa and Canada. The event will include presentations by Carleton researchers, government and industry experts, keynote addresses, and a panel discussion.
We would like to encourage graduate students interested in showcasing their research to submit an abstract and take advantage of this opportunity to meet and network with data science and data analytics researchers and practitioners. Applicants must submit their abstracts to CUIDS by Friday, March 9, 2018 (see the CUIDS links at the bottom of this notice.) In addition to the CUIDS prizes for the top three posters of the day, the SSO will be awarding additional cash prizes to the top two posters that best demonstrate statistical methodology, as assessed according to the criteria listed below.
With a focus on the practical aspects of data science, statistics and visualization, the judges from the Statistical Society of Ottawa (SSO) will evaluate the posters based on the novelty of the statistical method, clarity of the presentation, accuracy of results, and the appropriateness of the statistical methods for the given data or problem. The student’s ability to analyze, organize, and contextualize their research data will be assessed using the following criteria. Are the data collection methods and statistical techniques well described, and in a concise manner? Are the collected data appropriate for answering the research question? Has the quality of the data been considered? Are the graphs, tables and statistical results appropriate for displaying and summarising the data?
The event is free, and a buffet lunch is provided, but registration is required, and space is limited!
To register or submit an abstract see the CUIDS websites below: