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ABOUT US

The 2023 IAM3 Institute’s goal is to provide advanced training to U.S. graduate students in the assessment of multiple languages in multiple modalities (signed, spoken, written) within a theoretical framework of “translanguaging” that centers multilingual children and how they use their languages for different purposes. There will be a particular emphasis on the situation of deaf and hard-of-hearing children, for whom acquisition of language is often highly variable. In 2023, the Institute will take place in Stockholm, Sweden, from June 7 to June 22.

Swirl

Selected students will participate in a two-week summer institute hosted by Stockholm University, and taught by faculty from the United States, the United Kingdom and Sweden. Stockholm University is a leading center for the study of multilingualism and language acquisition in DHH children. Students will have access to an outstanding US and European faculty, and to cutting edge resources at the new Stockholm University Brain Imaging Center.

The two major institute themes will be mixed methods and language diversity. Students will learn how to combine qualitative and quantitiative methods with the goal of assessing language in diverse populations where study sample sizes are often quite small. They will also receive a grounding in translanguaging theory and address some of the theoretical and practical issues when assessing DHH children who use multiple languages.

Students will participate in lectures and research talks, small and large group activities, and one-on-one interactive discussions with research mentors. Students will be provided with opportunities to demonstrate and consolidate what they have learned.. Longer term outcomes include new international collaborations, an increase in theoretical innovation, and better recruitment and retention of DHH graduate students in doctoral programs.

Meet The Leadership Team

Dr. Joseph Hill.

Dr. Joseph Hill

Associate Professor

Matthew Dye

Dr. Matt Dye

Associate Professor

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This material is based upon work supported by the National Science Foundation under Grant No. (NSF grant 1952964)

APPLY NOW FOR 2023

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