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.
- 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.
- Exact word combinations can be searched for by using quotation marks (eg., “transdisciplinary learning”).
- Keyword matching is on partial words.
- Selecting a tag and/or category binds the search to only those posts which have those taxonomy term/s.
- The reset button (beneath the ‘Submit search’ button) will clear all entries in the search form, as will clicking on the ‘Advanced search…’ link in the top of the right sidebar.
- For more information on how advanced search works, 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 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, and comments the least 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 partial word/s, ie., the search will find any word containing the term you are searching on, provided the word begins or ends with the search term (eg., searching for ‘ion’ will not only find the word ‘ion’ but will also find ‘caution’ or ‘ionized’, but not “cautionary’).
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“).
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 and/or categories 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 or tags from their respective long drop-down list is to type the term 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 or category until it is found or until the choice of letters exhausts the possible set of tags or categories (in which case that tag or category is not in our list).
In the category and tag dropdown list, the number in brackets after each entry indicates the number of posts with that category or tag assigned to them.
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.
A search output can be obtained by filling out any one field (ie., the search box categories or tags or date). If all fields are left blank, then the search returns the blog scroll.
By Graham Hubbs, Michael O’Rourke, Steven Hecht Orzack
Have you collaborated with people on a complex project and wondered why it is so difficult? Perhaps you’ve asked yourself, “Do my collaborators even conceive of the project and its goals in the way I do?” Projects involving collaborators from different disciplines or professions seem almost ready made to generate this kind of bewilderment. Collaborators on cross-disciplinary projects like these often ask different kinds of questions and pursue different kinds of answers.
This confusion can bedevil cross-disciplinary research. The allure of such research is its promise of solving complex problems by bringing together a variety of perspectives that when combined lead to solutions that any one perspective would fail to find. But combining different disciplinary perspectives also requires undertaking the tasks of translating different technical languages, reconciling different methodological preferences, and coordinating different ways of carving up the world. These tasks are difficult and it’s no wonder that cross-disciplinary research often fails to be truly cross-disciplinary.
By Katrin Prager
Where do the benefits of diverse teams come from and how can those benefits be unlocked? What are the pitfalls to watch out for in constructing a team that is greater than the sum of its parts?
To boost innovation and creativity in teams I suggest we need to develop diversity science, which has 5 elements:
- identifying the right kind of diversity
- avoiding homophily
- avoiding dominance hierarchies
- fostering appropriate leadership
- building and protecting trust.
Let’s unpack each of these elements.
By Niko Schäpke and Ioan Fazey
How should formalized knowledge systems, including universities, research institutes and education, transform to keep pace with wider and inevitable societal transformations associated with accelerating global change? What kinds of changes are needed in these knowledge systems and how can they be encouraged?
These questions were explored by participants of the Transformations 2017 conference and in subsequent research (Fazey et al., 2020). This included highlighting current challenges, envisioning future systems and the policy and actions required for the transition. These are summarized in the figure below.
By Ismael Rafols
How can knowledge integration for addressing societal challenges be mapped, ‘measured’ and assessed?
In this blog post I argue that measuring averages or aggregates of ‘interdisciplinarity’ is not sufficiently focused for evaluating research aimed at societal contributions. Instead, one should take a portfolio approach to analyze knowledge integration as a systemic process over research landscapes; in particular, focusing on the directions, diversity and synergies of research trajectories.
There are two main reasons:
1. since knowledge integration for societal challenges is a systemic and dynamic process, we need broad and plural perspectives and therefore we should use a battery of analytical tools, as developed for example in research portfolio analysis, rather than a narrow focus on interdisciplinarity.
By James E. Burke
What is foresight and how does it differ from prediction? What role can complexity play in foresight? Does Cynefin® offer a possible framework to begin integrating foresight and complexity?
In this blog post, I describe how:
- Foresight identifies clues for the future and integrates them into forecasts
- Complexity theory offers ways to understand how the future emerges
- Cynefin® gives us a framework of domains that allows us to better understand trends and forecasts.
What is foresight?
Foresight starts from a place of humility—we cannot predict the future—and an acceptance of ambiguity.
By Tobias Buser and Flurina Schneider
When addressing societal challenges, how can researchers orient their thinking to produce not only knowledge on problems, but also knowledge that helps to overcome those problems?
The concept of ‘three types of knowledge’ is helpful for structuring project goals, formulating research questions and developing action plans. The concept first appeared in the 1990s and has developed into a core underpinning of transdisciplinary research.
The three types of knowledge, illustrated in the first figure below, are:
1. Systems knowledge, which is usually defined as knowledge about the current system or problem situation. It is mainly analytical and descriptive. For example, if you think of water scarcity, systems knowledge refers to producing a holistic understanding of the relevant socio-ecological system, including aspects like water availability, water uses, water management, justice questions, and their interrelations.