The University of Toledo
June 12 – 14, 2015
The deadline to submit panels, workshop proposals, and paper presentations is Jan 10 (Saturday).
The theme of this year’s conference is Altered states: Cross-disciplinary explorations of tradition and the emergent in Latin America. The introduction of ideas and patterns that challenge tradition, and the interplay between old and new, creates a dynamism in the region that is both exciting and challenging for those who study it. Boundaries often blur as the states of society, culture, politics and identity are altered. We seek to examine these alterations from a wide variety of perspectives and academic disciplines.
We encourage submissions that address this year’s theme, and also welcome paper and panel proposals dealing with all other aspects of Latin America, as well as proposals for workshops that inform faculty and students on practical issues such as study abroad programs in Latin America, academic publishing, the road to tenure, and effective pedagogical techniques.
Proposals are due by Sat. Jan. 10, 2015. You will need to supply:
Applicants will be informed by Sat., Feb. 7, 2015 whether their proposals have been accepted.
MACLAS offers prizes for the best book and best article or chapter published by a member in the last two years, as well as prizes for the best undergraduate and graduate papers presented at the conference. Graduate students are encouraged to apply for a Christina Turner Travel Award to help defray conference costs. For details, click here.
Conference registration fees are $125 for the full conference or $75 for one day if submitted by Mar. 15, 2015. After this date, the fees are $175 for the full conference or $100 for one day. In order to appear on the program, conference participants must be current members of MACLAS. Annual dues range from $10–$35, depending on professional status and income.
The proposed abstracts besides addressing the single sessions’ topics should be inspired by the conference theme of ‘The ideal city between myth and reality’
The selection process
The deadline for abstract submission is 31 January 2015. Each abstract will be classified by the session organizers into three categories:
A – Accepted abstract to be presented at the conference;
B – Accepted abstract as a contribution to the conference (available online) (this paper might be presented in case of drop outs);
C – Refused abstract. The paper will not be presented at the conference.
Abstracts should be sent by e-mail to email@example.com and to the session organizers (see email addresses listed below).
Authors of accepted abstracts should send their paper not later than 15 June 2013 to: firstname.lastname@example.org and to the session organizers. The accepted papers will be published online on the www.rc21.org website only if submitted in time.
Abstracts should include the following information:
A – The session to which the abstract is submitted.
B – A synthesis of the issues to be addressed in the paper, the hypothesis underlying them, the empirical and/or the theoretical basis, and the structure of the paper (300-500 words).
C – The contact of the author(s): Name(s), affiliation, address, a phone nr. (will not be made public) and an e-mail address.
Supported by the National Science Foundation
Cultural domain analysis (CDA) is the study of how people in a group think about lists of things that somehow go together. These can be physical, observable things—kinds of wine, kinds of music, rock singers, foods that are appropriate for dessert, medicinal plants, ice cream flavors, animals you can keep at home, horror movies, symptoms of illness—or conceptual things like occupations, roles, emotions, things to do on vacation, things you can do to help the environment, and so on. The method comes from work in cognitive anthropology but it has since been picked up in fields such as marketing, product development, and public health. CDA involves systematic interviewing to get lists of items that comprise a coherent cognitive domain.
The data collection methods covered in this five-day course include: free lists, pile sorts, triad tests, paired comparisons and ratings. The data analysis methods include: multidimensional scaling, hierarchical clustering, property fitting (PROFIT), quadratic assignment procedure (QAP), and consensus analysis.
The methods covered in this course are based on the analysis of profile matrices and similarity matrices. The class covers the theory behind these matrices and how they can be used in many different areas of research, including the analysis of qualitative data (like text and images) and in social network analysis. Participants get hands-on practice with data collection techniques and with data analysis using Anthropac and Ucinet software.