AWARDS
2019 HASS Digital Champion on behalf of the Australian Research Data Commons (ARDC)
ISLE 2015 Richard M. Hogg Prize
Nominee 2024 Conduct of Research, Reproducibility & Open Research Practices (UQ)
FUNDING
I have substantively contributed to and/or have 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)
Description
In Australia, there are large language data collections, some of which are housed in well-established archives (such as Trove), but many are stored in short-lived repositories. The goal of establishing a Language Data Commons of Australia (LDaCA) is to consolidate these efforts into a nationally integrated research infrastructure. This infrastructure will be strategically important for the Australian research community and for translational research related to national interests. LDaCA aims to serve as a sustainable long-term repository for the storage and curation of existing language data collections of national significance.
To achieve these objectives, the project aims to:
- Establish a governance board representing key stakeholders.
- Develop a comprehensive policy framework for access to language data.
- Create a shared technical infrastructure across institutions.
- Develop a portal for the discovery and access to language data.
- 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 & C & Chair of teh User Advisory group (Project lead: Michael Haugh)
Collaborators: Various Australian & international stakeholders (researchers and institutions, e.g. universities, AARNet, etc.)
Funding period: 2021-2023
(ATAP has been integrated into LDaCA as of 2024 (LDaCA-ATAP)).
Description
Text analysis in Australian research is conducted either at a basic, generic level (using standard packages like Antconc or Voyant Tools) or at a highly specialized level with custom code. The goal of ATAP is to fill the gap between these two approaches, where tools are needed that are more powerful than those at the basic end of the continuum but more general than those at the highly specialized end. A key outcome of the project will be the development of an integrated, notebook-based platform for processing and extracting text data.
As project lead I have acquired funding for the following project(s)
Fucking Twitter: a contrastive network and text analytic approach to curse word use in the Australian, British, and US American Twitterspheres
Volume: 15,075.88 AUD
Funding body: Digital Cultures and Societies Hub (UQ)
Role: Project lead
Collaborators: Marissa Takahashi (Australian Digital Observatory, Queensland University of Technology, QUT), Mikko Laitinen (University of Eastern Finland), Paula Rautionaho (University of Eastern Finland), michael Haugh (UQ), Sam Hames (UQ)
Duration: 8/2022 – 7/2023
Description
This project aims to empirically assess 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. The study provides insights into cultural differences and discursive settings for swearing, combining network and text analytics for a comprehensive view. The project also explores how sociological data can enrich social media analysis, laying the groundwork for future studies on online polarization. The research team includes experts from UQ’s LADAL, the Australian Text Analytics Platform, the Digital Observatory at QUT, and FIN-CLARIAH at the University of Eastern Finland.
VowelChartProject
Volume: 77,860 € (3rd phase: 42,960 €, 2nd phase: 22,900 €, 1st phase: 12,000 €)
Funding body: BMBF (via L3Prof, UHH)
Role: Project lead & Principal investigator (PI)
Duration: 9/2016 – 9/2018
Description
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. After participating, students received a personalized vowel chart and written feedback to help them improve their pronunciation in the target language.
APPLICATIONS SUBMITTED: COMPETITIVE SCHEMES (decision pending)
ARC Center of Excellence for the the Future of Language
Scheme: Australian Rsearch Council (ARC)
Role: CI (Project lead: Nick Enfield)
Collaborators: Various Australian \& international stakeholders (researchers and institutions, e.g. universities, First Languages Australia, etc.)
EOI submitted 9/2024
Social Network Analysis and related Research (SoNAR)
Scheme: Deutche Forschungsgesellschaft (DFG)
Role: International Collaborator (lead: Gerhard Müller)
Collaborators: Various German Libraries and universities & international stakeholders (researchers and institutions, e.g. libraries, universities, etc.)
LOI submitted 9/2024
APPLICATIONS SUCCESSFUL: NON-COMPETITIVE SCHEMES
Language Technology and Data Analysis Laboratory
Volume: 27,048.18 AU$
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)
(LADAL has been integrated into ATAP and LDaCA as of 2021 (LDaCA-ATAP))
Bad Language and Vulgarity Online and in Public Discourse
Volume: 3,000 AU$
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
Volume: 3,000 AU$
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
Volume: 5,440 AU$
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
Volume: 3,000 €
Funding body: Zentrale Forschungsförderung (ZFF), UKS
Role: PI (Project lead: Holden Härtl)
Duration: 3/2018 – ongoing
Travel costs recompensation acquired from external sources
Volume: 2,162.26 €
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
Volume: 1,150 €
Funding bodies: Hamburgische Wissenschaftliche Stiftung, Forschungs- und Wissenschaftsförderung, Hamburg, Society for the Promotion of Academic Inter-Cultural Activities e.V.
(last updated 2024/09/20)
