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; or, date). 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 ‘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, 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.
Harnessing analogies for creativity and problem solving
By Christian Schunn
What is an analogy? How can analogies be used to work productively across disciplines in teams?
We know from the pioneering work of Kevin Dunbar (1995), in studying molecular biology labs, that analogies were a key factor in why multidisciplinary labs were much more successful than labs composed of many researchers from the same backgrounds. What is it about analogies that assists multi- and interdisciplinary work?
The advice that follows comes from a decade of research involving intensive analyses of hundreds of hours of interdisciplinary science and engineering teams, following the minute-by-minute processes of the teams, and using advanced statistical techniques to look for robust patterns in behavior over time and across teams. In general, our research has shown that creative teams generate twice as many ideas per unit time when they use analogies than when they do not.
So, what is an analogy?
Where are the stakeholders in implementation science?
By Allison Metz and Annette Boaz
2. Annette Boaz (biography)
Should implementation science make more room for consultation, collaboration and co-creation with stakeholders? Would finding more active roles for stakeholders in implementation science be a promising approach to increasing the use of research evidence for improvements in policy and services?
The goal of implementation science is to promote the sustainable implementation of research evidence at scale to improve population outcomes, especially in health and human services. Nevertheless, the mobilization of research evidence on the frontlines of health and human services has been quite limited, especially in public agencies serving the vast majority of consumers.
Integration – Part 2: The “how”
By Julie Thompson Klein
The “how” of integration focuses on pragmatics of process, with emphasis on methods. Toward that end, following the part 1 blog post on the “what” of integration, this blog post presents insights from major resources, with emphasis on collaborative research by teams.
Some widely used methods are well-known theories, for example general systems. Others are practiced in particular domains, such as integrated environmental assessment. Some utilize technologies, for example computer synthesis of data. And others, such as dialogue methods, target communication processes.
Who sets the rules around co-creation?
By Lorrae van Kerkhoff
When we talk about co-creation, co-production, and co-design as exciting and productive alternative ways of approaching collaboration, it often doesn’t take too long for the conversation to turn to the challenges. Barriers, roadblocks, and disincentives appear and are lamented, or perhaps we celebrate that they have been overcome in a research-practice equivalent of the triumph of good over evil.
For every project the triumph may look a bit different – from the support an innovative funding agency, to a policy-maker or practitioner who understood the value of research, to the dedication, energy and sheer persistence of people who enjoy working together – the solutions are many and multi-faceted. These achievements should indeed be celebrated, and the lessons from them should be harvested.
But is there more to this story?
Integration – Part 1: The “what”
By Julie Thompson Klein
Integration lies at the heart of inter- and transdisciplinarity. Klein & Newell (1996) call it the “acid test” of interdisciplinarity, and Pohl, van Kerkhoff, Hirsch Hadorn, & Bammer (2008) consider it “the core methodology underpinning the transdisciplinary research process.”
What exactly, though, is integration?
This blog post answers that question while identifying key resources.
Making predictions under uncertainty
By Joseph Guillaume
Prediction under uncertainty is typically seen as a daunting task. It conjures up images of clouded crystal balls and mysterious oracles in shadowy temples. In a modelling context, it might raise concerns about conclusions built on doubtful assumptions about the future, or about the difficulty in making sense of the many sources of uncertainty affecting highly complex models.
However, prediction under uncertainty can be made tractable depending on the type of prediction. Here I describe ways of making predictions under uncertainty for testing which conclusion is correct. Suppose, for example, that you want to predict whether objectives will be met. There are two possible conclusions – Yes and No, so prediction in this case involves testing which of these competing conclusions is plausible.