Contact Information
We welcome inquiries from academic colleagues, policymakers, journalists, and other stakeholders interested in our research into AI capabilities in academic writing.
Research Team
Primary Investigator
[Name to be added]
[Institution to be added]
[Email to be added]
Research Ethics Approval
[Ethics approval reference to be added]
Types of Inquiries
Academic Collaboration
We actively seek collaboration with:
- Educational researchers studying AI impact on higher education
- Assessment designers developing AI-resistant evaluation methods
- Policy researchers working on academic integrity guidelines
- Technology developers creating educational AI tools
Press and Media
For journalists and media professionals:
- Interviews about research findings and methodology
- Expert commentary on AI in education
- Access to research data and documentation
- Quotes and perspectives on educational policy implications
Institutional Partnerships
We welcome partnerships with:
- Universities interested in collaborative research
- Educational policy organizations
- Assessment bodies and examination boards
- Professional academic societies
Student and Public Inquiries
For students, parents, and members of the public:
- General questions about our research
- Information about AI’s role in education
- Clarifications about our methodology and ethics
- Educational resources and guidance
Contact Methods
General Inquiries: [email to be added]
Press Inquiries: [press email to be added]
Collaboration: [collaboration email to be added]
Social Media
Twitter: [handle to be added]
LinkedIn: [profile to be added]
Institutional Affiliation
[Institution details to be added]
[Department/Faculty to be added]
[Institutional address to be added]
Research Data and Documentation
Available Resources
- Complete methodology documentation
- Anonymized results datasets
- Video documentation of testing processes
- Statistical analysis and interpretation
- Policy recommendations and implications
Data Sharing
We are committed to open research practices and make our data available for:
- Academic research and replication studies
- Policy analysis and evidence-based decision making
- Educational technology development
- Meta-analyses of AI capabilities in education
All data sharing follows appropriate ethical guidelines and institutional approval processes.
Conference Presentations and Speaking
The research team is available for:
- Conference presentations at educational technology events
- Keynote speeches on AI in higher education
- Workshop facilitation on assessment design
- Panel discussions on academic integrity
- Webinars and online presentations
Collaboration Opportunities
Research Partnerships
We are particularly interested in collaborating on:
- Cross-institutional studies expanding our dataset
- Longitudinal research tracking AI capability development
- Comparative studies across different educational systems
- Development of AI-resistant assessment methodologies
Policy Development
We welcome opportunities to contribute to:
- Educational policy development at institutional level
- National guidelines on AI use in education
- International standards for academic integrity
- Professional development programs for educators
Technology Development
We are open to partnerships with:
- Educational technology companies
- AI research organizations
- Assessment platform developers
- Academic integrity tool creators
Response Times and Availability
- General inquiries: We aim to respond within 48 hours
- Press inquiries: Same-day response for urgent requests
- Academic collaboration: Detailed response within one week
- Speaking requests: Response within one week with availability
Transparency and Ethics
All our research follows strict ethical guidelines:
- Full disclosure of AI involvement in our work
- Commitment to improving rather than undermining education
- Responsible sharing of findings and methodology
- Support for institutional academic integrity policies
Frequently Asked Questions
Q: Can you help with implementing AI detection in our institution?
A: While our research informs understanding of AI capabilities, we focus on assessment methodology rather than detection technologies. We can discuss approaches to AI-resistant evaluation design.
Q: Do you provide training on identifying AI-generated work?
A: Our expertise lies in understanding AI capabilities and designing appropriate assessments. We can provide insights into AI behavior patterns but recommend focusing on assessment methodology reform.
Q: Can students or faculty use your results to improve their own AI use?
A: Our research is designed to inform institutional policy and educational practice rather than to optimize AI use for individual assignments. We encourage transparent engagement with institutional AI policies.
Q: Are your findings applicable to all types of AI systems?
A: Our research primarily focuses on current leading language models. The rapidly evolving nature of AI means findings are temporally specific, though methodological approaches remain relevant.
Acknowledgments
We thank the academic community for engaging with our research and the ongoing discussions about AI’s role in education. We acknowledge the complex challenges facing educators, students, and institutions as they navigate this technological transition.
This contact page was created using Large Language Models as part of the Plagiar-Ezy project methodology.
Last updated: June 2025