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.
Collaboration and team science: Top ten take aways
By L. Michelle Bennett and Christophe Marchand
What are the key lessons for building a successful collaborative team? A new version of the Collaboration and Team Science Field Guide (Bennett et al., 2018) provides ten top take aways:
1. TRUST
It is almost impossible to imagine a successful collaboration without trust. Trust provides the foundation for a team. Trust is necessary for establishing other aspects of a successful collaboration such as psychological safety, candid conversation, a positive team dynamic, and successful conflict management.
Institutionalising interdisciplinarity: Lessons from Latin America / Institucionalizar la interdisciplina: Lecciones desde América Latina
By Bianca Vienni Baptista, Federico Vasen and Juan Carlos Villa Soto
2. Federico Vasen (biography)
3. Juan Carlos Villa Soto (biography)
A Spanish version of this post is available
What lessons and challenges about institutionalising interdisciplinarity can be systematized from experiences in Latin American universities?
We analyzed three organizational structures in three different countries to find common challenges and lessons learned that transcend national contexts and the particularities of individual universities. The three case studies are located in:
- Universidad de Buenos Aires in Argentina. The Argentinian center (1986 – 2003) was created in a top-down manner without participation of the academic community, and its relative novelty in organizational terms was also a cause of its instability and later closure.
- Universidad de la República in Uruguay. The Uruguayan case, started in 2008, shows an innovative experience in organizational terms based on a highly interactive and participatory process.
- Universidad Nacional Autónoma de México. The Mexican initiative, which began in 1986, shows a center with a network structure in organizational terms where the focus was redefined over time.
Linking learning and research through transdisciplinary competences
By BinBin Pearce
What are the objectives of transdisciplinary learning? What are the key competences and how do they relate to both educational goals and transdisciplinary research goals? At Transdisciplinarity Lab (TdLab), our group answered these questions by observing and reflecting upon the six courses at Bachelor’s, Master’s, and PhD levels that we design and teach in the Department of Environmental Systems Science at ETH Zurich, Switzerland.
Six competence fields describe what we hope students can do with the help of our courses. A competence field contains a set of interconnected learning objectives for students. We use these competence fields as the basis for curriculum design.
Synthesis of knowledge about participatory modeling: How a group’s perceptions changed over time
By Rebecca Jordan
How do a group’s perceptions change over time, when members across a range of institutions are brought together at regular intervals to synthesize ideas? Synthesis centers have been established to catalyze more effective cross-disciplinary research on complex problems, as described in the blog post ‘Synthesis centers as critical research infrastructure‘, by Andrew Campbell.
I co-led a group synthesizing ideas about participatory modeling as one of the activities at the National Socio-Environmental Synthesis Center (SESYNC). We met in Annapolis, Maryland, USA, four times over three years for 3-4 days per meeting. Our task was to synthesize what is known about participatory modeling tools, processes, and outcomes, especially in environmental and natural resources management contexts.
Negotiations and ‘normative’ or ‘ethical’ power
By Lena Partzsch
What can we learn from international relations about how ‘normative’ or ‘ethical’ power can be used in successful negotiations, for example, for pathways to sustainability? Here I build on Ian Manners’ (2002) concept of “Normative Power Europe”. He argues that the European Union’s specific history “pre‐disposes it to act in a normative way” (Manners 2002: 242) based on norms such as democracy, rule of law, social justice and respect for human rights. I explore the broader ramifications of the normative power concept for empirical studies and for practical negotiation and collaboration more generally.
First, the concept of normative power implies that the spread of particular norms is perceived as a principal policy goal, whether that relates to foreign policy, environmental policy or other kinds of policy.
What can interdisciplinary collaborations learn from the science of team science?
By Suzi Spitzer
How can we improve interdisciplinary collaborations? There are many lessons to be learned from the Science of Team Science. The following ten lessons summarize many of the ideas that were shared at the International Science of Team Science Conference in Galveston, Texas, in May 2018.
1. Team up with the right people
On the most basic level, scientists working on teams should be willing to integrate their thoughts with their teammates’ ideas. Participants should also possess a variety of social skills, such as negotiation and social perceptiveness. The most successful teams also encompass a moderate degree of deep-level diversity (values, perspectives, cognitive styles) and include women in leadership roles.