CU News

Call for Papers – International Conference on “English Language, Literature and Translation Studies in the Age of Disruption”

The Department of English, Faculty of Arts, Chulalongkorn University, cordially invites all to attend the English Language, Literature and Translation Studies in the Age of Disruption International Conference and has opened up a call for papers.  The conference sessions will be on Saturday 11 July – Sunday 12 July 2020 at the Room 301 MCS, 3rd Floor, Maha Chakri Sirindhorn Building, Faculty of Arts, Chulalongkorn University, Bangkok, Thailand.  

During the conference dates, the keynote speakers include:
-Dr. Mark Carver (University of St. Andrews)
-Professor Mark Shuttleworth (Hong Kong Baptist University)
-Professor Heather Zwicker (University of Queensland)

The deadline to submit an abstract is 1 May 2020 and all abstracts received will be reviewed on a rotation basis. 

*There is no registration fee for presenters of the selected papers.
**The selected papers will be published in Thoughts, the academic journal of the Department of English, Faculty of Arts, Chulalongkorn University.

Online registration for the conference will remain open until 1 July 2020.

For more information on the conference and registration, visit  https://forms.gle/PLMe2mc24Ve29m5C7  or scan the QR code available on the conference poster.

The sense of kinship and warmth found in the Chula community is priceless and a treasure worth keeping.

Prof. Dr. Pornanong Aramwit Faculty of Pharmaceutical Sciences, Chulalongkorn University

PDPA Icon

This website uses cookies to personalize content, provide the best user experience, and improve Chula website services.

Privacy Preferences

ท่านสามารถเลือกการตั้งค่าคุกกี้โดยเปิด/ปิด คุกกี้ในแต่ละประเภทได้ตามความต้องการ ยกเว้น คุกกี้ที่จำเป็น

Accept All
Manage Consent Preferences
  • Strictly Necessary Cookies
    Always Active

    These cookies are essential for the basic functionality of the website, including security, network management, and consent recording, and therefore cannot be disabled.
    Cookies Details

  • Analytics and Statistics Cookies

    These cookies help the University understand user behavior, such as the number of visitors, popular pages, and content performance, in order to improve the quality of the website. The data collected is anonymized and does not directly identify users.
    Cookies Details

  • Behavioral Analytics Cookies

    These cookies analyze usage patterns, such as clicks, scrolling, and navigation paths, to improve the user experience, without directly collecting personal data.
    Cookies Details

  • Preference Cookies

    Used to remember user preferences so the website can be displayed according to the selected language.
    Cookies Details

Save