Description
| Title | A proposal of a framework for tuning and optimising intake questionnaires in social experiments |
| Abstract | This presentation aims to discuss a new proposal for a framework for social science experiments that involve computational machine learning techniques. The problem of biased intake questionnaires and the impersonality of machine learning techniques can find a solution when brought together. A study case involving young adults and their physical activities is used to understand how the flow of parameters change will affect the results of a set of people that are affected by their traits of openness and expressiveness when in a social network environment. |
Other presentations by Eric Araújo
| Date | Title |
|---|---|
| 23 March 2015 | Validation of a Model to predict People’s behaviour |
| 26 October 2015 | Tedium Contagion in WAI's Audience |
| 14 November 2016 | Social Connection Dynamics in a Health Promotion Networ |
| 24 April 2017 | Political opinion shaping in social media |
| 18 September 2017 | A proposal of a framework for tuning and optimising intake questionnaires in social experiments |
| 05 February 2018 | Data Analysis and Simulation of Health Behavior of Children in a Social Network |