{"id":948,"date":"2017-12-30T14:31:18","date_gmt":"2017-12-30T12:31:18","guid":{"rendered":"http:\/\/www.martinschweinberger.de\/blog\/?page_id=948"},"modified":"2025-10-31T04:16:33","modified_gmt":"2025-10-31T02:16:33","slug":"awards-funding","status":"publish","type":"page","link":"http:\/\/www.martinschweinberger.de\/blog\/awards-funding\/","title":{"rendered":"Awards, Prizes & Funding"},"content":{"rendered":"

AWARDS<\/strong><\/p>\n

ISLE 2015 Richard M. Hogg Prize<\/a>
\n2019 HASS Digital Champion<\/a> on behalf of the Australian Research Data Commons<\/em> (ARDC<\/a>)
\nNominee 2024 Conduct of Research, Reproducibility & Open Research Practices (UQ)
\nNominee 2025 UQ Research Culture Awards 2025 – Responsible Research Practices<\/a> (nominated by HASS Associate Dean-Research both as an individual researcher as well as with LADAL)<\/p>\n

FUNDING<\/strong><\/p>\n

I have substantively contributed to and\/or have taken a relevant role in the grant applications of the following scientific projects<\/p>\n

SUCCESSFUL APPLICATIONS: COMPETITIVE SCHEMES<\/strong><\/p>\n

Language Data Commons of Australia HASS RDC (LDaCA-RDC)<\/a>
\n<\/strong>Scheme: Humanities, Arts and Social Sciences (HASS) Research Data Commons (RDC) and Indigenous Research Capability Program (ARDC)
\nRole: Advisory committee & CI (Project lead: Michael Haugh)
\nCollaborators: Various Australian \\& international stakeholders (researchers and institutions, e.g. universities, First Languages Australia, etc.)
\nFunding period: 2021-2029 (phase I: 2021-2023, phase II: 2024-2029)<\/p>\n

Description
\nIn 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)<\/strong> 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<\/strong> aims to serve as a sustainable long-term repository for the storage and curation of existing language data collections of national significance.
\nTo achieve these objectives, the project aims to:<\/p>\n

    \n
  1. Establish a governance board<\/strong> representing key stakeholders.<\/li>\n
  2. Develop a comprehensive policy framework<\/strong> for access to language data.<\/li>\n
  3. Create a shared technical infrastructure<\/strong> across institutions.<\/li>\n
  4. Develop a portal<\/strong> for the discovery and access to language data.<\/li>\n
  5. Engage researchers and communities to secure and make accessible Australia\u2019s linguistic heritage.<\/li>\n<\/ol>\n

    Australian Text Analytics Platform (ATAP)<\/strong><\/a>
    \nScheme: Australian Research Data Commons (ARDC) Platforms Program
    \nRole: Steering committee & C & Chair of teh User Advisory group (Project lead: Michael Haugh)
    \nCollaborators: Various Australian & international stakeholders (researchers and institutions, e.g. universities, AARNet, etc.)
    \nFunding period: 2021-2023
    \n(ATAP has been integrated into LDaCA as of 2024 (LDaCA-ATAP)).<\/p>\n

    Description
    \nText 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.<\/p>\n

    As project lead I have acquired funding for the following project(s)<\/p>\n

    Fucking Twitter: a contrastive network and text analytic approach to curse word use in the Australian, British, and US American Twitterspheres<\/strong>
    \nVolume: 15,075.88 AUD
    \nFunding body: Digital Cultures and Societies Hub (UQ)
    \nRole: Project lead
    \nCollaborators: 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)
    \nDuration: 8\/2022 – 7\/2023<\/p>\n

    Description
    \nThis 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\u2019s LADAL, the Australian Text Analytics Platform, the Digital Observatory at QUT, and FIN-CLARIAH at the University of Eastern Finland.<\/p>\n

    VowelChartProject<\/strong><\/a>
    \nVolume: 77,860 \u20ac (3rd phase: 42,960 \u20ac, 2nd phase: 22,900 \u20ac, 1st phase: 12,000 \u20ac)
    \nFunding body: BMBF (via     L3Prof<\/a>, UHH)
    \nRole: Project lead & Principal investigator (PI)
    \nDuration: 9\/2016 – 9\/2018<\/p>\n

    Description
    \nThe 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.<\/p>\n

    APPLICATIONS SUBMITTED: COMPETITIVE SCHEMES (decision pending)
    \n<\/strong><\/p>\n

    Social Network Analysis and related Research (SoNAR)<\/strong>
    \nScheme: Deutche Forschungsgesellschaft (DFG)
    \nRole: International Collaborator (lead: Gerhard M\u00fcller)
    \nCollaborators: Various German Libraries and universities & international stakeholders (researchers and institutions, e.g. libraries, universities, etc.)
    \nLOI submitted 9\/2024<\/p>\n

    APPLICATIONS SUCCESSFUL: NON-COMPETITIVE SCHEMES<\/strong><\/p>\n

    Language Technology and Data Analysis Laboratory<\/a><\/em>
    \nVolume: 27,048.18 AU$
    \nFunding body: School of Languages and Cultures\/Online Teaching Support Scheme (UQ)
    \nRole: Project lead & CI
    \nDuration: 9\/2020 – 12\/2020 (ongoing funding via ATAP and LDaCA since 2021)
    \n(LADAL has been integrated into ATAP and LDaCA as of 2021 (LDaCA-ATAP))<\/p>\n

    Bad Language and Vulgarity Online and in Public Discourse<\/em>
    \nVolume: 3,000 AU$
    \nFunding body: School of Languages and Cultures Research Support Scheme (UQ)
    \nRole: Project lead & CI
    \nCollaborators: Prof. Dr. Svenja Kranich, University of Bonn
    \nDuration: 9\/2024 – 12\/2024<\/p>\n

    Automated, corpus- and usage-based semantic classification of adjectives<\/em>
    \nVolume: 3,000 AU$
    \nFunding body: School of Languages and Cultures Research Support Scheme (UQ)
    \nRole: Project lead & CI
    \nCollaborators: Chang-Hao Luo
    \nDuration: 11\/2023-3\/2025<\/p>\n

    Acquisition, Variation, and Diachronic Change of English Amplifier Systems<\/em>
    \nVolume: 5,440 AU$
    \nFunding body: School of Languages and Cultures\/Targeted Research Support Scheme (UQ)
    \nRole: Project lead, Principal investigator (PI)
    \nDuration: 6\/2020 – ongoing (funding until 12\/2021)<\/p>\n

    Dimensions of Intensification<\/em>
    \nVolume: 3,000 \u20ac
    \nFunding body: Zentrale Forschungsf\u00f6rderung (    ZFF<\/a>), UKS
    \nRole: PI (Project lead: Holden H\u00e4rtl)
    \nDuration: 3\/2018 – ongoing<\/p>\n

    Travel costs recompensation acquired from external sources<\/em>
    \nVolume: 2,162.26 \u20ac
    \nFunding bodies: International Society for the Linguistics of English<\/em>, GlaxoSmithKline Stiftung<\/em>, Hamburgische Wissenschaftliche Stiftung<\/em>, Forschungs- und Wissenschaftsf\u00f6rderung Hamburg<\/em><\/p>\n

    Conference organization support acquired from external sources<\/em>
    \nVolume: 1,150 \u20ac
    \nFunding bodies: Hamburgische Wissenschaftliche Stiftung<\/em>, Forschungs- und Wissenschaftsf\u00f6rderun<\/em>g, Hamburg, Society for the Promotion of Academic Inter-Cultural Activities e.V.<\/em><\/p>\n

    APPLICATIONS UNSUCCESSFUL: COMPETITIVE SCHEMES<\/strong><\/p>\n

    ARC Center of Excellence for the the Future of Language<\/em>
    \nScheme: Australian Rsearch Council (ARC)
    \nRole: CI (Project lead: Nick Enfield)
    \nCollaborators: Various Australian \\& international stakeholders (researchers and institutions, e.g. universities, First Languages Australia, etc.)<\/p>\n

    (last updated 2024\/09\/20)<\/p>\n

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    AWARDS ISLE 2015 Richard M. Hogg Prize 2019 HASS Digital Champion on behalf of the Australian Research Data Commons (ARDC) Nominee 2024 Conduct of Research, Reproducibility & Open Research Practices (UQ) Nominee 2025 UQ Research Culture Awards 2025 – Responsible Research Practices (nominated by HASS Associate Dean-Research both as an individual researcher as well as […]<\/p>\n

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