Rae and Dan Landis Outstanding Dissertation Award Description

The mission of the International Academy for Intercultural Research (IAIR) is to promote and facilitate intercultural research in the areas of psychology, communications, education, management, and other specializations in social sciences that are related to cross cultural studies. The Academy encourages high quality intercultural research at the doctoral level, which is conventionally the starting point in academia. The Rae and Dr. Dan Landis Outstanding Dissertation Award is intended to recognize and honor outstanding scholarly achievement by aspiring intercultural researchers. Support for the award is provided by the Academy and Elsevier Sciences, Ltd.

Prize

US $1,000.00, one-year membership in IAIR and free registration at the IAIR Biennial Conference when the prize is conferred. The winner will be asked to give a presentation of his or her research at the Conference. Due to the COVID-19 pandemic, the next IAIR Conference will be held in Switzerland, July, 2022.

Criteria for Submission and Deadlines

The main thrust of your doctoral thesis (dissertation) must be centered around intercultural studies, that is to research the dynamics and/or promote understanding and appreciation between individuals and groups from diverse communities and heritage. It should be unique yet rigorous in its theory and method. Doctoral theses eligible for an award must have been completed (and accepted by the awarding university) during the two calendar years ending on December 31 of the year prior to the conference year. Due to the COVID-19 pandemic, the IAIR will not hold its biennial conference in 2021. Nevertheless, application to and evaluation of the outstanding dissertation will continue based on the existing timeframe stipulated in the biennial call for submission (see dates below). The winner of this award will be invited to present his or her PhD findings at the next IAIR Conference in 2022. Submissions must be received by the chair of the Review Committee (see email address below) by January 31, 2021.

Rae & Dan Landis Outstanding Dissertation Award year: 2021

Dissertation Completed: January 1, 2019 - December 31, 2020

Submission:                     January 31, 2021

What to submit

Please submit a 1500-word abstract (double-spaced, Times New Roman Font Size 12, 1-inch margins) of the doctoral thesis in English. The abstract must contain no information that identifies the applicant, thesis supervisor, or institution. The word-limit does not include references. The abstract must contain complete details of the theory, method, results, and implications for the field. Submit the abstract electronically as an email attachment to the address given below using a common word processing file format such as Word, Wordperfect, or Rich Text Format. Do not send it in a .pdf file. In a separate file, list your contact information (title of submission, name, affiliation, physical address, phone number, fax number, email address, webpage if you have one).

A letter from the thesis advisor certifying the university acceptance date of the thesis should be sent by your advisor, also as an email attachment, directly to the Chair of the review committee.

Following a preliminary evaluation, finalists will be asked to submit a 35-page summary description of the full doctoral thesis, in the language in which it was written to the review committee. Should the original language be other than English, the selection committee will be augmented to include scholars who are native speakers of that language and who feel competent to evaluate the work. The winner of the award will be invited to prepare and submit an article derived in full or in part from his/her dissertation research to be considered for publication in the International Journal of Intercultural Relations.

Where to submit

All materials should be submitted electronically to:

A/Prof. Chan-Hoong Leong (chleong@suss.edu.sg) and

A/Prof. Justine Dandy (j.dandy@ecu.edu.au)

IAIR Rae and Dan Landis Best PhD dissertation award

 
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