Programme
Webinars, workshops and open conversations — free, paid and invite-only.
November 2026
December 2026
Proposed — scheduled when enough people want them
Who Is Actually Reading Your Research?
Research can be publicly available without necessarily reaching the people who could benefit from it. This session explores research audiences, scholarly engagement, and how researchers can better understand who discovers, reads, and uses their work.
From Publication to Impact
Publishing research is an important achievement, but meaningful impact often depends on what happens afterward. This session explores how scholarly work can move beyond publication to inform decisions, support innovation, influence practice, and contribute to wider societal value.
Search, AI and the Future of Academic Discovery
AI is transforming how scholarly information is searched, organized, and presented. This session explores the future of academic discovery, including the benefits, limitations, and responsibilities associated with AI-assisted research search tools.
The Library in the Age of AI Discovery
Academic libraries have long played a central role in helping people access reliable research. This session explores how AI-assisted discovery is influencing library services, information access, and the evolving role of libraries in supporting researchers and learners.
How Researchers Find Knowledge Is Changing
Traditional academic search methods are evolving as AI-powered discovery tools become more common. This session explores how researchers find scholarly information, what is changing in the discovery process, and the opportunities and challenges of emerging search technologies.
One Study, Many Languages, Wider Reach
Communicating research across languages can help scholarly knowledge reach new audiences and communities. This session explores multilingual dissemination, translation considerations, and approaches to expanding research reach while preserving accuracy and context.
Making Local Research Globally Discoverable
Research addressing local challenges can have relevance far beyond its original community, yet it may remain difficult for international audiences to find. This session explores how researchers can improve the visibility, accessibility, and international reach of locally produced knowledge.
Does Research Need to Be in English to Be Visible?
English dominates much of international academic publishing, raising questions about the visibility of research produced in other languages. This session explores the challenges faced by non-English scholarship and how research communities can support more inclusive approaches to global discovery.
Breaking the Language Barrier in Research Discovery
Valuable research is produced in many languages, but language barriers can prevent it from reaching relevant audiences. This session explores the challenges of cross-language research discovery and how researchers and institutions can improve access to knowledge across linguistic boundaries.
Verification Skills Every Researcher Now Needs
As AI makes information easier to generate and distribute, verifying scholarly claims becomes increasingly important. This session explores practical approaches to evaluating sources, checking citations, validating evidence, and maintaining confidence in research findings.
The Source Exists—but Does It Support the Claim?
Finding a legitimate source is only the first step in evaluating evidence. This session explores how researchers can determine whether cited material genuinely supports an argument, recognize misleading interpretations, and strengthen the connection between claims and evidence.
Can We Still Trust the Citation?
Citations can make academic work appear credible, but a reference does not automatically guarantee accuracy or reliability. This session explores the challenges of fabricated, inaccurate, and misleading citations, particularly in AI-assisted research, and what researchers should verify before trusting a reference.
Making Research More Reusable, Not Just Available
Research that is publicly available is not necessarily easy for others to understand, evaluate, or reuse. This session explores the importance of documentation, accessibility, context, and research practices that support meaningful knowledge reuse.
What Does Responsible Openness Look Like?
Open research creates opportunities for collaboration and knowledge sharing, but openness also involves ethical and practical responsibilities. This session explores how researchers can balance transparency, accessibility, privacy, and responsible research practices.
Open Research: Accessible Does Not Always Mean Discoverable
Making research openly accessible does not automatically ensure that people can find or understand it. This session explores the difference between availability and discoverability and how researchers can help their work reach wider audiences.
Open Science in the Age of AI
Artificial intelligence is changing how research is discovered, analyzed, and reused. This session explores what these developments mean for open science, research transparency, accessibility, and responsible knowledge sharing.
Scholarly Communication Beyond Journals and PDFs
Research communication is expanding beyond traditional journal articles and static documents. This session explores emerging approaches to sharing academic knowledge and how researchers can make their work more accessible, discoverable, and useful to different audiences.
The Research Paper Is Published. What Happens Next?
The publication of a research paper is an important milestone, but its journey does not end there. This session explores how research can reach relevant audiences, support knowledge exchange, and create opportunities for wider understanding and impact.
Is Publishing Enough Anymore?
Publishing research remains essential, but publication alone does not guarantee visibility, understanding, or impact. This session explores how scholarly communication is changing and what researchers should consider beyond getting their work published.
Are We Measuring Research Impact the Wrong Way?
Citations, publication counts, and other traditional metrics offer useful signals, but they do not always capture the full value of research. This session explores the limitations of conventional impact measurement and how institutions can think more broadly about research influence and contribution.
Research Assessment in a Changing Research Landscape
Research is evolving, but many assessment practices still rely on traditional measures of academic performance. This session explores how research evaluation can respond to changing research practices, emerging technologies, and broader expectations of scholarly contribution.
From Published to Discoverable: Closing the Visibility Gap
Publication is an important milestone, but it is not the end of the research journey. This session explores the gap between making research available and making it discoverable, accessible, and useful to wider audiences.
Can AI Find Your Research?
AI is changing how people search for and discover academic knowledge. This session explores how AI-assisted discovery may influence research visibility and what researchers should understand about making their work easier to find.
Why Good Research Still Goes Unnoticed
Publishing valuable research does not guarantee that the right audiences will discover it. This session explores the barriers that limit research visibility and what researchers can do to improve how their work is found and understood.
When Writing Style Suddenly Changes: What Should We Do Next?
A sudden change in writing style may raise questions, but it does not automatically establish misconduct. This session explores how educators and academic reviewers can interpret writing-pattern changes responsibly, consider context, and determine appropriate next steps.
Authorship in the Age of Generative AI
As AI becomes part of research and academic writing, institutions need to reconsider how authorship and contribution are understood. This session explores responsible AI assistance, attribution, transparency, and the evolving expectations surrounding academic authorship.
Who Actually Wrote the Paper?
Generative AI is challenging traditional assumptions about academic authorship. This session explores what meaningful authorship means when AI can contribute to writing and why understanding human contribution, transparency, and verification matters.
Academic Misconduct or Responsible AI Use? Where Is the Boundary?
As AI becomes part of academic work, distinguishing acceptable assistance from misconduct is increasingly complex. This session explores how researchers and institutions can evaluate AI use through transparency, contribution, institutional expectations, and human judgment.
The New Integrity Risks Researchers Need to Recognize
AI-assisted research introduces new questions about transparency, attribution, evidence, and responsibility. This session explores emerging research integrity risks and the practical warning signs researchers should recognize.
When Research Looks Credible but Isn't
A polished research paper can contain convincing arguments, references, and evidence that do not withstand scrutiny. This session explores why apparent credibility is not enough and how researchers can evaluate claims, sources, and supporting evidence more carefully.
Research Integrity After Generative AI
Generative AI is changing how research is written, reviewed, and communicated. This session explores emerging integrity challenges and how researchers and institutions can respond through stronger verification, responsible practices, and informed judgment.