|29/05/2019; 14:00 - 17:00||ISPA||Peter McGregor
|Workshop||Workshop: "(R)fternoon: A Brief Introduction to Working With R"|
|29/05/2019; 16:00||FP-UL||Roy Baumeister
(University of Queensland)
|Talk||Self-Regulation, Choice, and Ego Depletion|
|31/05/2019; 15:00||ICS-UL||Céline Darnon
(Université Clermont Auvergne)
|Talk||Post-Graduate Study Seminar: "Structural Barriers to the Promotion of Equality in Education"|
|07/06/2019; 10:00 - 11:00||ISCTE-IUL||David Stillwell
(Judge Business School - University of Cambridge)
|Talk||Big data psychometrics: Ethical dilemmas for the digital age|
No conferences scheduled at the moment.
Talks, Seminars and Workshops
Speaker: Peter McGregor (ISPA)
Date and time: 29/05/2019; 14:00 - 17:00
Venue: ISPA; Sala de Atos
Format: Short introductory lecture, guided practical setup and use workshop/individual advice.
Prerequisite: To take part in the working with R section, you will need your personal laptop.
Registration: Free for ISPA's PhD students, Others = 150€, Limited to 15 participants
Please email ISPA's events unit to register or find out more.
R is a free, open source, cross platform language and environment for statistical computing and graphics. It has rapidly become the industry standard for science. It also has a reputation for being more difficult to use than menu-driven stats packages such as SPSS. This workshop is a briefing for those who have not used R, but who want to know why it is so popular. It will begin by explaining what R is, how it differs from commercial packages and how it can be used with postgraduate students. It will then guide those who wish to try working with R from the initial stages of setup, through basic examples, to become familiar with the way you work with R.
Speaker: Roy Baumeister (University of Queensland)
Date and time: 29/05/2019; 16:00
Venue: FP-UL; Amphitheater I
Registration: Not required.
This a narrative overview of my research program, explaining how the ideas evolved over 25 years. The original limited resource model has been expanded and updated as new findings continue to pour in, as well as various challenges and competing theories. Just when we thought we had worked out the main outlines of self-regulation theory, several new findings have emerged to challenge that picture. This talk presents results from laboratory, longitudinal, and meta-analytic studies. High self-control may specialize less in resisting temptation than in avoiding it. Self-control is often highly effective but does grow weaker (ego depletion) as the day wears on. Ego depletion intensifies subjective desires and feelings, rather than just weakening powers of restraint. Similarity in trait self-control is not the best predictor of relationship satisfaction. Powerful leaders self-regulate task performance in unusual ways, sometimes performing better but sometimes worse than subordinates.
Speaker: Céline Darnon (Université Clermont Auvergne)
Date and time: 31/05/2019; 15:00
Venue: ICS-UL; Multipurpose Room
Registration: Not required.
Speaker: David Stillwell (Judge Business School - University of Cambridge)
Date and time: 07/06/2019; 10:00 - 11:00
Venue: ISCTE-IUL; Mário Murteira Auditorium
Registration: Please email ISCTE-IUL's PhDprogram manager to register or find out more.
Many researchers, including myself (e.g., Kosinski, Graepel, & Stillwell, 2013), have published papers showing that psychological traits like personality and intelligence can be predicted from the digital footprints people leave behind when they use online services like social media. Should this capability be used in practice, and if so under what conditions? The Facebook Cambridge Analytica scandal clearly demonstrates that the public is uneasy when they feel their data was misused, but on the other hand the public also expects their data to be used to personalise recommendations and services. This session will briefly introduce the big data psychometrics technology and will then encourage debate on its application by and within organisations. I will refer to the decisions that my research group made when we worked with companies to test big data psychometrics in practice in areas such as recruitment.