AIEMCA conference 2018 Macao
|AIEMCA 2018 Macao|
|Dates||2018/11/27 - 2018/11/29|
|Geolocation||22° 9' 9", 113° 33' 54"|
|Final version due|
|Export for iCalendar|
AIEMCA conference 2018 Macao:
The 11th Australasian Institute of Ethnomethodology and Conversation Analysis (AIEMCA) Conference will be hosted by the Dept’s of Communication and Portuguese at the University of Macau from the 27th – 29th November 2018.
Conference Theme: Investigating Methods and Methodologies
The biennial AIEMCA conference provides a forum for scholars from a range of disciplines using ethnomethodology, conversation analysis, membership categorisation analysis or discursive psychology in studies of everyday and/or institutional talk-in-interaction.
The theme for the 2018 conference to be held at the University of Macau is on Investigating Methods and Methodologies.
We invite papers that highlight current work and research focusing on new directions and innovations on a range of topics and research areas
The call for papers is now open until 30 April 2018.
The theme of the conference is on Methodologies and reflects both the attention to studies of social action and practices as well as a reflexive attention to the analytic methods and approaches to the study of social action. Papers are welcome from the range of ethnomethodological approaches focusing on particular social practices in naturalistic settings as well as papers discussing or examining methodological developments and challenges within the field.
- Standard Papers 30 Minutes – 20 Minutes plus 10 minutes questions (Open to all including students)
- Short Data Focused Papers (Postgraduate Students Only) 20 Minutes – 10 Mins plus 10 min questions. These short sessions are designed for students to present their data and discuss the questions or focus of their research and to get feedback from the audience. They will be organised into sessions with 5 presenters per session.
Abstracts should be no longer than 300 words and include presentation title, author affiliations, keywords, description of data, significance of the research and Student or Faculty