Research Centres
Advancing interdisciplinary research through collaborative research centers focused on different aspects of diversity and innovation.
Council Structure
The Council operates through interconnected interdisciplinary units that collaborate to address complex research challenges. Our founding centers establish the framework for our academic mission, while allowing for future growth and specialization.
Interdisciplinary Centers
Specialized research units focusing on specific domains while maintaining cross-disciplinary connections
Research Groups
Collaborative teams addressing targeted research questions within and across centers
Thematic Programs
Time-bound initiatives that bring together expertise from multiple centers
Collaborative Research Approach
Council's distinctive feature is its commitment to cross-center collaboration. Research projects and academic programs typically involve multiple units working together, employing inter and transdisciplinary methodologies to address complex challenges.
Problem Identification
Identifying research questions that benefit from multiple perspectives
Team Formation
Assembling cross-center expertise to address the challenge
Methodology Development
Creating integrated approaches that transcend disciplinary boundaries
Implementation
Executing research with ongoing cross-disciplinary collaboration
Centre for Diversity in AI and NLP
This founding center focuses on ensuring artificial intelligence and natural language processing systems work fairly for all users regardless of background. The center conducts pioneering research aimed at identifying and eliminating biases in AI technologies.
Fairness in Research
Developing methods to measure and eliminate bias in AI systems
Inclusive Resources
Creating representative datasets across diverse communities
Ethical Frameworks
Establishing guidelines for responsible AI development
AI Diversity Research Initiatives
Our center conducts groundbreaking research to ensure artificial intelligence systems serve diverse populations equitably. We focus on identifying and addressing biases that can emerge in machine learning models and language processing systems.
Bias Detection Algorithms
Developing computational methods to identify implicit and explicit biases in AI systems through systematic evaluation across diverse user groups
Representative Training Data
Creating inclusive datasets that properly represent linguistic and cultural diversity to improve AI system performance across all demographics
Fairness Metrics
Establishing qualitative and quantitative measures to evaluate AI performance equality across different communities and user groups
Centre for Linguistic and Cultural Diversity
Our second founding center is dedicated to preserving and promoting linguistic and culture diversity globally. The center conducts research across all language forms including spoken, written, signed, whistled, and sung varieties, recognizing the importance of maintaining this critical aspect of cultural heritage.
Documentation
Conducting field research to record, transcribe, and preserve endangered languages, dialects and culture using state-of-the-art documentation techniques that capture phonology, morphology, syntax, and semantic features
Analysis
Employing computational and traditional linguistic methods to analyze language structures, patterns, and variations across communities and geographic regions
Resource Development
Creating dictionaries, grammars, and digital archives to support language maintenance and revitalization efforts in partnership with language communities
Language and Culture Documentation Programs
Our center implements comprehensive language and culture documentation initiatives that preserve linguistic and cultural diversity for future generations. These programs combine traditional linguistic and anthropological fieldwork with modern digital preservation techniques.
Community Partnership
Establishing ethical relationships with communities based on mutual respect and collaborative decision-making about research priorities and methods
Documentation Process
Recording cultural practices and natural language use across various contexts, transcribing materials, and analyzing linguistic structures with community participation
Archival and Accessibility
Creating secure digital archives with appropriate access protocols determined in consultation with the community.
Training and Capacity Building
Providing community members with training in documentation methodologies to support ongoing language and culture preservation efforts
Cross-Center Research Initiatives
Our council prioritizes research projects that span multiple centers, leveraging diverse expertise to address complex challenges. These cross-disciplinary initiatives represent our commitment to collaborative academic inquiry.
Academic Programs and Training
We offer interdisciplinary educational opportunities designed to prepare the next generation of researchers for collaborative work across traditional academic boundaries. Our programs emphasize both technical expertise and intercultural competence.
Graduate Certificate Programs
Specialized training in cross-disciplinary methodologies that can complement existing degree programs
Collaborative Research Seminars
Team-taught courses bringing together methods and perspectives from multiple disciplines
Technical Skills Workshops
Short-format training in specialized tools and methodologies for research
Community Engagement Training
Preparation for ethical and effective collaborative research with communities
Resource Development
A significant focus of our council is creating and maintaining research resources that support our mission. These carefully curated materials enable both our work and that of the broader academic community.
Linguistic Corpora
Comprehensive collections of language data representing diverse communities and language forms, including:
  • Recorded speech samples with transcriptions
  • Text collections across multiple genres
  • Video documentation of signed languages
  • Multimodal records of language in context
Algorithmic Tools
Software developed to support research activities with attention to accessibility and transparency:
  • Bias detection frameworks for AI systems
  • Language documentation software suites
  • Analysis tools for linguistic data
  • Open-source code libraries for researchers
Educational Materials
Resources designed to share knowledge and methodologies:
  • Training manuals for language documentation
  • Curricula for ethical AI development
  • Case studies in cross-disciplinary research
  • Public engagement materials
Community and Research Partnerships
Our council actively engages with communities and research institutions worldwide to foster collaborative relationships that enhance our research impact and ensure cultural sensitivity in our work.
Indigenous Communities
Partnerships with indigenous language speakers and knowledge keepers to document and preserve linguistic heritage while respecting cultural protocols and intellectual property rights
Academic Institutions
Collaborative agreements with universities and research institutes globally to facilitate student and faculty exchanges, shared resources, and joint research initiatives
Technology Companies
Strategic relationships with industry partners to translate research findings into practical applications and ensure diversity considerations in commercial AI and NLP systems
NGOs, Foundations and Government
Cooperation with government, nonprofit organizations working in language and cultural preservation, educational equity, and technology ethics to amplify research impact
Future Growth and Expansion
While beginning with our founding centers in AI diversity and linguistic diversity, the Council envisions strategic growth to address emerging research challenges and opportunities in related fields.
Short-term Development
Establishing operational frameworks and initial research programs within founding centers
Mid-term Expansion
Adding complementary research units in digital humanities and educational technology
Long-term Growth
Creating an integrated research ecosystem with global partnerships and influence
As we grow, we remain committed to our foundational principle of cross-disciplinary collaboration. Each new center or research unit will enhance our ability to address complex challenges while maintaining strong connections to our existing academic infrastructure.