Recognition & support

Awards & Funding

Substantive competitive funding  ·  ISLE Richard M. Hogg Prize  ·  ARDC HASS Digital Champion

LDaCA ATAP VowelChartProject
CI LDaCA
Lead LADAL
6 Funded projects (lead)
2015 ISLE Hogg Prize

Awards

Funding

I have substantively contributed to and/or taken a relevant role in the grant applications of the following scientific projects.

Successful Applications: Competitive Schemes

Language Data Commons of Australia HASS RDC (LDaCA-RDC)
Scheme: Humanities, Arts and Social Sciences (HASS) Research Data Commons (RDC) and Indigenous Research Capability Program (ARDC)
Role: Advisory committee & CI (Project lead: Michael Haugh)
Collaborators: Various Australian & international stakeholders (researchers and institutions, e.g. universities, First Languages Australia, etc.)
Funding period: 2021–2029 (phase I: 2021–2023, phase II: 2024–2029)

In Australia, large language data collections exist, some housed in well-established archives (such as Trove), but many stored in short-lived repositories. LDaCA aims to consolidate these efforts into a nationally integrated research infrastructure. It aims to: (1) establish a governance board representing key stakeholders, (2) develop a comprehensive policy framework for access to language data, (3) create a shared technical infrastructure across institutions, (4) develop a portal for the discovery and access to language data, and (5) engage researchers and communities to secure and make accessible Australia’s linguistic heritage.

Australian Text Analytics Platform (ATAP)
Scheme: Australian Research Data Commons (ARDC) Platforms Program
Role: Steering committee & CI & Chair of the User Advisory Group (Project lead: Michael Haugh)
Collaborators: Various Australian & international stakeholders
Funding period: 2021–2023
(ATAP has been integrated into LDaCA as of 2024.)

Text analysis in Australian research is conducted either at a basic, generic level or at a highly specialized level with custom code. ATAP aimed to fill the gap between these two approaches, developing an integrated, notebook-based platform for processing and extracting text data.

Interfaces to Data for Historical Social Network Analysis and Research (SoNAR (IDH))
Scheme: Deutsche Forschungsgesellschaft (DFG)
Role: International Collaborator (lead: Gerhard Müller)
Collaborators: Various German Libraries and universities & international stakeholders

SoNAR (IDH), Interfaces to Data for Historical Social Network Analysis and Research, will examine and evaluate approaches to build and operate an advanced research technology environment supporting Historical Network Analysis and related research. Project partners from various fields – historiography, information visualization, artificial intelligence and computer sciences as well as information science – work on this topic from their respective perspective.

Successful Applications as Project Lead

Fucking Twitter: a contrastive network and text analytic approach to curse word use in the Australian, British, and US American Twitterspheres
Funding body: Digital Cultures and Societies Hub (UQ)
Role: Project lead
Collaborators: Marissa Takahashi (QUT/Australian Digital Observatory), Mikko Laitinen (University of Eastern Finland), Paula Rautionaho (University of Eastern Finland), Michael Haugh (UQ), Sam Hames (UQ)
Duration: 8/2022 – 7/2023

This project empirically assesses the assumption that Australians swear frequently by comparing Twitter data from Australia, the UK, and the US. It develops a prototype using computational methods to clean Twitter data, detect and extract swear words, and analyze their frequency and usage contexts.

VowelChartProject

Funding body: BMBF (via L3Prof, UHH)
Role: Project lead & Principal Investigator (PI)
Duration: 9/2016 – 9/2018

The VowelChartProject extracted vowel formants from German, Russian, and Spanish learners of English using PRAAT and R to investigate where, why, and to what extent English learners differ from native English speakers in vowel production and word-final devoicing. Students received personalized vowel charts and written feedback after participating.

Applications Successful: Non-Competitive Schemes

Language Technology and Data Analysis Laboratory
Funding body: School of Languages and Cultures/Online Teaching Support Scheme (UQ)
Role: Project lead & CI
Duration: 9/2020 – 12/2020 (ongoing funding via ATAP and LDaCA since 2021)

Bad Language and Vulgarity Online and in Public Discourse
Funding body: School of Languages and Cultures Research Support Scheme (UQ)
Role: Project lead & CI
Collaborators: Prof. Dr. Svenja Kranich, University of Bonn
Duration: 9/2024 – 12/2024

Automated, corpus- and usage-based semantic classification of adjectives
Funding body: School of Languages and Cultures Research Support Scheme (UQ)
Role: Project lead & CI
Collaborators: Chang-Hao Luo
Duration: 11/2023 – 3/2025

Acquisition, Variation, and Diachronic Change of English Amplifier Systems
Funding body: School of Languages and Cultures/Targeted Research Support Scheme (UQ)
Role: Project lead, Principal Investigator (PI)
Duration: 6/2020 – ongoing (funding until 12/2021)

Dimensions of Intensification
Funding body: Zentrale Forschungsförderung (ZFF), UKS
Role: PI (Project lead: Holden Härtl)
Duration: 3/2018 – ongoing

Travel costs recompensation acquired from external sources
Funding bodies: International Society for the Linguistics of English, GlaxoSmithKline Stiftung, Hamburgische Wissenschaftliche Stiftung, Forschungs- und Wissenschaftsförderung Hamburg

Conference organization support acquired from external sources
Funding bodies: Hamburgische Wissenschaftliche Stiftung, Forschungs- und Wissenschaftsförderung Hamburg, Society for the Promotion of Academic Inter-Cultural Activities e.V.

Applications Unsuccessful: Competitive Schemes

ARC Center of Excellence for the Future of Language
Scheme: Australian Research Council (ARC)
Role: CI (Project lead: Nick Enfield)
Collaborators: Various Australian & international stakeholders

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