Results from your search will be shown on this page below the search form – you may need to scroll down to the results if the page does not automatically take you there after you submit your search.
Instructions:
- All blog posts are searched (pages from the menu are not searched)
- Search outputs are weighted by relevance.
- If searching with two or more words, the system uses an AND operator.
- Selecting a tag, author tag and/or category binds the search to only those posts which have those taxonomy term/s.
- A search output can be obtained by filling out any one field (ie., the search box; or, categories; or, tags; or, authors). If all fields are left blank, then the search returns the blog scroll.
- Exact word combinations can be searched for by using quotation marks (eg., “transdisciplinary learning”).
- Keyword matching is on partial words.
- The reset button (beneath the ‘Submit search’ button) will clear all entries in the search form, as will clicking on the ‘Search…’ link in the top of the right sidebar; or, reloading the page.
- Stopwords are used and for more information on stopwords and how search generally works on this page, see the ‘in-detail’ instructions below.
The search function checks all blog posts but not pages (ie., it does not check the ‘About’, ‘Index’ and other pages listed in the main menu).
For posts, search checks within titles, body text, category and tag text (and not comments).
Searches are weighted by relevance, with affects the order in which posts appear, with titles and content getting the most weighting, tags and categories lesser weighting.
Increasing the number of search terms and selections generally focuses the search output (ie., decreases the number of outputs).
Keyword matching is based on whole words.
If you enter two or more words into the search box, the relationship between the words is based on an AND operator (meaning the more words you add, the tighter (less content is returned in) the search output).
- For example, entering transdisciplinary learning into the search box would provide an output that lists all posts with both the word transdisciplinary and the word learning anywhere in the text. Posts with only transdisciplinary in the text or posts with only learning in the text would not be included in the output.
To find a specific word combination (eg., critical systems), wrap in quotation marks (ie., “critical systems“).
The search system uses ‘stopwords’; which are words that are overly common and so are excluded from being searched for if they are put into the search field (in order to avoid flooding the user with results). For example, words such as ‘has’, ‘sometimes’, ’whether’ are stopwords and can’t be searched on individually (that is, no search result will be returned). Such stopwords can be entered as part of a string of words, but as they are not in the search index they do not count towards the search output. There are also words that are very common across our blog posts and which we allow (to be searched on). These words relate to the way we build the content of our posts (eg., ‘biography’; ‘online’) or are related to the blog’s subject matter (eg., ‘research’, ‘university’). Just be aware that if you search on such words (either alone or in a string), you will get a very large number of results. At the time of writing, the following words are examples to avoid using: biography; change; development; experience; knowledge; science; PhD; policy; practice; process; research; social; time; university; work. A good rule of thumb if using a single search term and if there are a lot of results returned (in 2026, there were over 500 blog posts on this site), is to use one or more of the other fields (eg., tag), or add extra search terms to the search field, or try a different term that speaks to what you are searching for.
When you open a post that was found by your search, you can find where your specific word or word combination appears by using your computer’s search function (eg., on a computer running Microsoft Windows, Control ‘F’ will allow you to search the post (as well as anything else in the active screen)).
Restrict searches to particular tags, categories and/or author tags by using the dropdown selectors.
- Eg., if you choose the tag Advocacy, the search will only be conducted within posts that have that tag assigned to them.
- If you added the category Cases to that search, then only posts that had both the tag Advocacy and the category Cases assigned to them would be searched.
An alternative to selecting categories, tags or authors from their respective long drop-down list is to type the term or author name you are looking for in the relevant selector field. Typing one letter will jump to the lead word in the alphabetical listing (ie, typing ‘s’ takes you to the first tag or category in the list of those starting with ‘s’). Further addition of letters will home in on a tag, category or author until it is found or until the choice of letters exhausts the possible set of tags, categories or authors (in which case that tag, category or author is not in our list). NOTE: all authors are also available in reverse name order under ‘Authors‘ in the menu bar.
In the category, tag and author dropdown list, the number in brackets after each entry indicates the number of posts with that category, tag or author assigned to them.
Tags or authors with a zero in brackets “(0)”, placed after the tag or author text, are not currently linked to any blog posts. In the case of tags, most of these tags identify alternative tags, which, if searched, will yield a result. For example, “Assumptions – see ‘Mental models’ tag (0)” signifies that blog posts about ‘assumptions’ are tagged with ‘mental models’ and not ‘assumptions.’ Occasionally there will be a tag (or author tag) with “(0)” which refers to a new tag (or author tag) on a blog post which has not yet been made public. This tag (or author tag) will be searchable once the blog post is public (usually within a week).
For the category selector, choosing one of the two parent categories (main topics or resource types) searches all blog posts, as all blog posts are assigned a main topic and a resource type.
From slogan to practice: Restoring transdisciplinarity as a serious way of working
By Hussein Zeidan.
Do you sense a growing gap between the promise of transdisciplinarity and the way it is often practised? Have you recognised instances where a paper praises integration, yet treats it as little more than a symbolic gesture, instead of a serious intellectual and ethical commitment?
How did we get here, and how can we reclaim transdiscipinarity from superficial habits that weaken its potential?
How did we get here?
The rise of transdisciplinarity has been remarkable. Funding agencies promote it. Universities showcase it. New centres and programmes are built around it. This visibility has helped many people experiment with new forms of collaboration.
A framework for navigating the impact of using artificial intelligence on collaborative research communication
By Faye Miller.
How can research teams recognise when their use of artificial intelligence is affecting their ability to integrate different knowledge and perspectives? How can they navigate the impact of artificial intelligence on their collaborative processes?
When research teams use artificial intelligence in collaborative work, new complexities emerge, especially subtle shifts in communication patterns that can fundamentally alter how teams integrate different perspectives and knowledge forms. Consider an environmental team relying on artificial intelligence summaries across hydrology, ecology, and policy. They might miss crucial disciplinary nuances, or follow its “evidence-based” recommendations that may clash with community priorities. Such changes in communication rhythms can compromise decision-making quality and the integration of different viewpoints.
Three lessons for designing serious games for educational settings
By Alice H. Aubert.
What is Triadic Game Design and what lessons does it provide for designing and analysing serious games in an educational setting?
Triadic Game Design
The Triadic Game Design is a design framework for serious games that defines three essential, interrelated elements—Reality, Meaning, and Play—that need to be integrated and balanced (Harteveld 2011).
Reality ensures the game represents the real world sufficiently (ie., in a valid and reliable way that can be understood by the target players). Subject-matter experts model the Reality in the game focusing on the problem, its influencing factors, and relationships.
Meaning pertains to the game’s purpose and its transference to the real world, to create added value through playing the game.
Moving from epistemic paternalism to transformative transdisciplinarity
By David Ludwig and Charbel N. El-Hani.
2. Charbel N. El-Hani (biography)
How can we overcome the epistemic paternalism that has long shaped relations between science and society? How can a transformative vision of transdisciplinarity emerge from the interplay between epistemic diversity and epistemic decolonization?
Demands for transdisciplinary research reflect an intricate politics of knowledge that can be described through a triad of paternalism, diversity, and decolonization. Epistemic paternalism has become widely criticized in many debates about development and modernization. For example, international development projects are often deeply paternalistic by assuming that science and technology of the “developed world” should be simply exported into the “underdeveloped world,” where they are imagined as generating economic growth and societal progress.
Recognize and value linguistic and conceptual pluralism!
By Ulli Vilsmaier.
How can we best recognise and value linguistic and conceptual pluralism in naming what we do when we work in international environments? What are the limitations of descriptors such as transdisicplinarity, participatory action research and co-creation?
Terminology is really an issue when working across linguistic, disciplinary and professional boundaries. Working internationally we are now accustomed to using the hyper-centralized language, English; we tend to delegate translation more and more to machine-based algorithms; and we easily forget the consequences of working in a language that is not our mother tongue nor anchored in our cultural and social environment.
A hyper-centralized language has great benefits, but also major weaknesses.
Training specialists to solve wicked problems
By Vladimir Mokiy.
How can a modern university train highly qualified specialists who are able to rethink and unambiguously solve wicked problems?
Here I build on my previous i2Insights contribution Systems transdisciplinarity as a metadiscipline, the methodology of which aims to unify and generalize complementary and non-complementary disciplinary knowledge and methodologies. This metadiscipline provides the basis of a proposed curriculum for a two-year training program at the masters level. The intention is that specialists would be trained in systems transdisciplinarity using a single curriculum to ensure a uniform level of professional capabilities and competencies.
The curriculum
The curriculum involves the organization of training in four sections.