ATISA X Conference - Pre-Conference Workshops
On Thursday, March 31, 2022, ATISA will be holding several pre-conference workshops from 1:00 p.m. to 4:00 p.m. These extended workshops are geared toward early career researchers who want to deepen their understanding of research methods and practices in the field, as well as toward established scholars who want to expand their current practice. Details about these pre-conference workshops are provided below. All three workshops will run concurrently. Space is limited, so be sure to snag a spot when you register for the conference!
Workshop 1: Introduction to Scholarly (Academic) Publishing
Presented by Brian James Baer (Kent State University)
Traditionally left out of writings on translation theory and practice, since Barbara Cassin's Dictionnaire des intraduisibles / Dictionary of Untranslatables academic translation is increasingly recognized as playing a central role in the global circulation of theories and concepts that must be addressed in any exploration of genealogies of knowledge. This workshop introduces participants to some key features of academic translation that distinguish it from literary and other forms of translation and presents influential examples of academic translation as well as funding opportunities and venues for academic translation projects. The workshop will also engage with academic translators who will share their experiences and answer questions. The workshop leader is a teacher of translation and translation theory and has translated works of Russophone scholars, such as the semiotician Juri Lotman and the translation theorist Andrei Fedorov. This workshop is co-sponsored by the Mona Baker Centre for Translation Studies at Shanghai International Studies.
Workshop 2: Empirical Research Methods in TI Studies
Presented by Claudia V. Angelelli (Heriot-Watt University)
This hands-on workshop is intended to introduce new scholars, graduate students, and practitioners to conducting research in Translation and Interpreting Studies. The workshop will introduce participants to the importance of formulating meaningful research questions. While learning to differentiate between questions that do and do not merit such research, participants will also learn about the connections between research questions, conceptual/theoretical frameworks, and research methodology. A variety of empirical research methods, involving both quantitative and qualitative analysis, will be presented. Through a variety of learner-centered activities, participants will learn to identify the major research methods in the field and to design studies based on those methods. No previous background in empirical research methods is required.
Workshop 3: Quantitative Research in T&I: Myths and Best Practices
Presented by Christopher D. Mellinger (UNC Charlotte)
This workshop presents the fundamentals of quantitative research in translation and interpreting studies, from project planning to implementation, analysis, and interpretation of results. Participants will examine best practices throughout the entire research project while dispelling myths about statistical analysis. The workshop presents real-world examples from T&I research to review tests of relationships (e.g., correlations) and tests of difference (e.g., t-tests and ANOVA) as well as the interpretation of their results. Best practices in reporting will be reviewed along with emerging topics surrounding topics such as pre-registration, open access publishing, data repositories, the need for replication, and meta-analyses. This presentation draws on best practices in research design, methodology, and quantitative analysis to give participants the tools needed to understand quantitative research in their areas of expertise and to evaluate published studies more effectively. Topics will include: pre-registration and ethics review, sample sizes and power analysis, tests of relationships and tests of difference, p-values, confidence intervals, reporting practices, replication and synthesis: systematic reviews and meta-analyses, and open access and data repositories.