Difference between revisions of "Glossary"
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− | This Glossary lists terms and words that are relevant to this Wiki. For | + | '''This Glossary lists terms and words that are relevant to this Wiki.''' |
+ | * For many Glossary entries, you will find a list of Wiki articles that prominently contain this term. | ||
+ | * To see all entries that contain the term, please type the term into the search bar on the top right. | ||
+ | * The Glossary is work in progress and continuously amended. | ||
+ | * A considerable part of these definitions is adapted from the [https://i2insights.org/ ''Integration and Implementation Insights'' Blog.] We are thankful for their contribution and highly recommend visiting the blog! | ||
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− | | | + | | Accountability || Being responsible for one’s actions, performance, behaviours, decisions and more, both on an individual and an institutional level, including the responsibility for negative outcomes and consequences. |
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− | | | + | | Adaptation || Adaptation is both an adjustment to actual or expected change and the adjustments required to achieve change, and is most prominently used on climate change research, yet can be valuable way beyond that. The adjustments aim to moderate, mitigate or altogether avoid harm and to exploit beneficial opportunities and may require on-going flexibility where there is continuous change. |
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− | | | + | | Advocacy || Activity by an individual or group that aims to influence decisions in a particular way. |
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− | | | + | | Agency || The capacity of an individual to act intentionally with the assumption of a causal outcome based on this action. |
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− | | | + | | Alternative hypothesis || An example for an alternative hypothesis (H1) would be: There is one black swan. The H1 claims that there is an effect and consequently opposes and challenges the null hypothesis (H0). |
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− | | | + | | Analogy || A cognitive process useful in problem solving. It involves reasoning by transferring information or meaning from a particular problem to another problem to develop solutions. There is also a more common use of the term ‘analogy’ which is a linguistic expression comparing things with similar features to help explain an idea. |
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+ | | Art || The expression of creativity in objects, environments and experiences which are beautiful or have emotional power, allowing our senses to be at their fullest. Includes painting, sculpture, architecture, music, theatre, film, dance, literature. | ||
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+ | | Assumptions || For individuals, assumptions are essentially mental models that consist of a prerequisite that is considered to be true or false without immediate evidence. For theories, methods and models, assumptions are often simplifications that are an important element that allow for their construction and that affect how useful they are. | ||
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− | | | + | | Bias || The action of supporting or opposing a particular person or thing in an unfair way, because of allowing personal opinions to influence your judgement. |
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− | | | + | | Brainstorming || A divergent thinking technique to generate numerous and diverse ideas, including quirky ones, which is used when creative thinking is required, e.g. in problem solving. |
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− | | | + | | Causality || Causality is a construction happening in our minds. Thus, it is important to recognize its limitations. According to Hume, causality is contiguous in space and time, the cause is prior to its effect, and there is a constant union between cause and effect. |
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− | | | + | | Change || Various aspects of altering reality as we perceive it, which may range from minor to transformational and which include, but do not necessarily lead to, improvement. Concrete considerations include modifying policy and/or practice in government, business or civil society, as well as planning for the future. |
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+ | | Change resistance || Opposing alterations or suggested alterations to the status quo. This can be by, for example, individuals, groups or organisations. Resistance to change also occurs in natural and social systems. | ||
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− | | | + | | Collective intelligence || The shared wisdom and knowledge that emerges out of a group’s collective efforts, that is more than an individual can produce, allowing for consensus decisions. Such knowledge is often more than the sum of the parts of knowledge of all individuals, thereby enabling novel solutions. |
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− | | | + | | Colleges of peers || Groups of people with similar expertise in research who can effectively assess each other’s research grant applications and publications. This is analogous to the way normal science operates. |
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− | | | + | | Communication || Sharing information, by various means, especially to increase understanding between individuals or groups. |
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− | | | + | | Competencies || Knowledge, skills, abilities and attributes required to understand, integrate and create knowledge. |
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− | | | + | | Complex Systems / Complexity || Complex systems are composed of many components which may interact with each other in various ways and which are therefore difficult to model. Specific properties include non-linearity, emergence, adaptation and feedback loops. |
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− | | | + | | Concept || Abstract mental representation of our world. |
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− | | | + | | Consultation || A one-directional information flow from practice actors (stakeholders) to academia, most commonly in form of questionnaires and interviews, which provides input or feedback to proposed or active research. |
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− | | | + | | Context || The specific settings and circumstances of any given system or group of people. These context specific factors can include historical, political, cultural and other circumstances, as well as the structure and culture of the research and/or stakeholder organisations involved. |
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− | | | + | |Co-produced knowledge || Co-produced knowledge is a kind of action-oriented knowledge that “emerges from collective processes […], includes different actors and incorporates their diverse and divergent perspectives, views and interests” (Caniglia et al. 2020). Alongside critical and empowering knowledge, co-produced knowledge “enhance[s] shared agency by addressing differences in interests, views, values and power” (Caniglia et al. 2020). |
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− | | | + | | Creativity || Forming something novel and valuable, including ideas, theories, inventions and art. |
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+ | | Credibility || The believability of a person, source or message based on trustworthiness and expertise, and also often-shared experience and/or identity. | ||
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+ | |Critical knowledge || Critical knowledge is a kind of action-oriented knowledge that “questions existing institutions […], interrogates prevailing power asymmetries […], contests conventional assumptions and values […] and enables marginalized views, needs and interests […]” (Caniglia et al. 2020). Alongside empowering and co-produced knowledge, critical knowledge “enhance[s] shared agency by addressing differences in interests, views, values and power” (Caniglia et al. 2020). | ||
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+ | | Critical realism || A philosophical approach to understand science. It opposes claims of empiricism and positivism and states that there are endless strata of knowledge to explore. Roy Bhaskar coined the term and proposed three ontological domains (strata of knowledge). | ||
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+ | | Cultural Models || Cultural models are taken-for-granted understandings of the world that are shared by groups of people. Like a mental model (on an individual scale), a cultural model is a group’s implicit representations of, and thought processes about their perceived reality. | ||
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+ | | Culture || Behaviours and norms shared by groups of people. When the group is a society, culture includes language, religion, cuisine, social habits, music and arts. When the group is an organisation, culture includes shared attitudes, values, goals, and practices. | ||
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+ | | Culture Shift || The process of changing beliefs, behaviours and outcomes, usually in an organisation or other constructed institutions. | ||
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+ | | Cross-cultural research || Investigating issues that involve two or more cultures. Also includes learning from other cultures. | ||
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+ | | Data || Quantitative or qualitative units of information that can be used for analysis. | ||
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+ | | Debiasing || Accounting for and reducing biases, particularly in judgments and decision-making. | ||
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+ | | Decision context || The circumstances under which a decision is made and which influence the decision. | ||
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+ | | Decision-making || Selecting a course of action among several alternate possibilities. | ||
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+ | | Decision support || Use of analytical tools, which may be computerized, to assist individuals and groups in decision making. Decision support includes various kinds of modelling and mapping. | ||
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+ | | Deductive reasoning || Deductive reasoning builds on statements or theories that are confirmed by observation or can be confirmed by logic. | ||
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+ | | Dialogue || Conversations to share understandings and, ideally, integrate them towards solutions. Such conversations are often centred around problem framing, mutual learning and joined consensus, resolving problems for action. The aim is not to convince others, but instead to mutually share openly and honestly. Dialogue can be unstructured, semi-structured or structured. Structured dialogues are helpful when groups get larger. | ||
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+ | | Dispositions || A person’s innate or learned qualities and inclinations, including tendencies to act in specific ways. Dispositions are useful for research integration and implementation include humility, curiosity and flexibility. | ||
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+ | | Dualism || Also known as either/or thinking. A style of thinking that builds on a constructed meaning in the world by dividing ideas, people, objects, processes and so on into two contrasting fundamental categories, e.g. good or evil, subject or object, and quantity or quality. | ||
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+ | | Emergence || The incurrence of a characteristic or behaviour of two or more entities that could not be anticipated based on the individual parts. | ||
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+ | |Emergent knowledge || Emergent knowledge is a kind of action-oriented knowledge that is “generated in open-ended and exploratory cycles of intervention, reflection and evaluation (for example, in real-world laboratories or transition arenas) to identify action pathways, while also improving understanding of how to respond to new experiences, altered interpretations and changed circumstances” (Caniglia et al. 2020). Alongside tactical and situated knowledge, emergent knowledge “enable[s] the realization of actions in specific contexts” (Caniglia et al. 2020). | ||
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+ | | Empirical (research) || Empirical (experiential) means that knowledge is derived from observation, experimentation, measurement and experience rather than from theory, belief or pure logic. The overall goal is to generate knowledge by exploring or explaining behaviors and phenomena. | ||
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+ | | Empowering knowledge || Empowering knowledge is a kind of action-oriented knowledge that “enables agency (individual and collective), builds capacities […] and supports actors to realize intentions in favour of new and alternative social and political orders” (Caniglia et al. 2020). Alongside critical and co-produced knowledge, empowering knowledge “enhance[s] shared agency by addressing differences in interests, views, values and power” (Caniglia et al. 2020). | ||
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+ | | Empowerment || The highest form of involvement of non-scientific actors in research, where marginalized or suppressed stakeholders are given authority and ownership and solve problems themselves, and/or are directly involved in the decision-making process at the collaboration level. | ||
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+ | | Endogenous view || Approaches a problem searching for its causes and cures within the system boundary. | ||
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+ | | Epistemology || It is about the nature of knowledge, so what we know about the world and how we create this knowledge. | ||
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+ | | Extrapolation (Regression analysis) || Extrapolation is a statistical technique allowing to predict values of data points beyond the range of the known values in the data set. An example of extrapolation would be a mechanistic model of climate change, where based on the trend in CO2 rates in the atmosphere over the last decades one tries to predict future trends. | ||
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+ | | Facilitation || Planning, guiding and managing a group process and environment, by a facilitator. Facilitation is a composite term that may include:: full participation, mutual understanding, shared purpose and responsibility, and high-quality decisions. There may also be other aims depending on the purpose of the group process, and since professional facilitation is currently emerging, this definition may change. | ||
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+ | | Falsification || A principle of scientific inquiry which stipulates that any knowledge is assumed to be valid only temporarily since it can always shown to be false or incomplete at a later point. Therefore, we can accept a piece of information as knowledge, as long as it is not falsified, i.e., proven to be wrong. Science strives to falsify its knowledge continuously to arrive at better knowledge, thus the process of falsification may never stop. | ||
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+ | | Feedback Loops || A feedback loop is a process in which an output of a system is circled back and used as one or more inputs, through direct or indirect causal links. Feedback loops can be reinforcing (positive) or balancing (negative). | ||
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+ | | Fragmentation || Existing and functioning in separate parts, usually referring to the research ‘community’ with expertise in research integration and implementation. | ||
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+ | | Framework || A real or conceptual basic structure that supports or guides practical applications. | ||
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+ | | Funding || The provision of money, usually by agencies associated with government, philanthropy, or business, to support research on complex problems. | ||
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+ | | Generative knowledge || Generative knowledge is a kind of action-oriented knowledge that “draws upon and engages with multiple perspectives for the creation of new and alternative social–ecological, institutional and cultural relationships and arrangements […]” (Caniglia et al. 2020). Alongside prescriptive and strategic knowledge, generative knowledge “inform[s] intentional design following the normative intention of creating transformative change” (Caniglia et al. 2020). | ||
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+ | | Grey Literature || Literature that is published not by a commercial publisher but by an organisation itself. Reports or policy papers often fall under this category. | ||
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+ | | Hardware (Programming) || The physically tangible components of the computer, for example the CPU, graphics card and the keyboard. | ||
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+ | | Hypothesis || A preconceived idea about the world that guides the research process and is to be falsified by it. | ||
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+ | | Incommensurability || Ideas, theories, methods, standards, values and more, often from different disciplines, that have no common basis and are therefore unable to be integrated (for example in interdisciplinary research). | ||
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+ | | Inductive reasoning || Inductive reasoning draws conclusions based on data or observations. | ||
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+ | | Innovation || Implementing something novel, including a new idea, method, technology or product. | ||
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+ | | Institutionalisation || Embedding research integration and implementation into the academic mainstream, e.g. by establishing departments of research integration and implementation, centres of interdisciplinarity, relevant journals and professional associations, funding streams, promotion criteria etc. | ||
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+ | | Interactional expertise || The ability to understand disciplines, professional practice and community experience without being trained in those disciplines or professions or having lived in those communities. | ||
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+ | | Interpolation (Regression analysis) || Interpolation is the mathematical procedure to get a value between two known data points. Thus, it allows to predict within the range of the given data, spanning over gaps in the data. A prominent example is the Worldclim dataset, which generates a global climate dataset based on advanced interpolation. Based on ten thousand of climate stations and millions of records this dataset provides knowledge about the average temperature and precipitation of the whole terrestrial globe. | ||
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+ | | Invention of new methods (Questioning the status quo in methods) || The invention of new methods is super rare considering successful ones. It demands experience, as well as a recognition of a lack or gap within methods. Inventing new methods can eventually close gaps in the knowledge production. However, it takes time for a new method to become established in the canon of scientific knowledge. | ||
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+ | | Journals || Academic or scholarly periodicals where knowledge about theories, methods and topics are published. | ||
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+ | | Knowledge as entity || Knowledge as described by a set of attributes and as a "thing" that can be possessed by an individual or group. These concepts are characterised by the emphasis on one or more dimensions: method of acquisition, temporal or spatial scale, holder of knowledge, object of knowledge - what it is about, etc. Examples include traditional or traditional ecological knowledge (TK/TEK), indigenous (ecological) knowledge (IK/IEK) and local (ecological/environmental) knowledge (LK/LEK). | ||
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+ | | Knowledge as process || This perspective focuses on actions, rather than properties, and the flows by which knowledge moves within a system. Some are production and application related processes, while others are related to transfer and mediation. | ||
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+ | | Knowledge as system || Knowledge takes a holistic perspective and is not just a quantity or quality, nor does it relate to a mere process or action. Rather, its nature is seen as multidimensional, requiring a simultaneous focus on the set of relevant elements, their interrelationships, and any properties that emerge from the interactions. Knowledge does not just exist in a system; it is the system itself. | ||
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+ | | Knowledge for and through learning || This type of knowledge processes looks at the dynamics of knowledge in a system, in relation to learning. Learning is how knowledge as an entity is updated via process and takes many forms, e.g. social learning, policy learning, etc., but also includes concepts such as education for sustainable development or social information. | ||
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+ | | Knowledge governance || Formal and informal rules that shape knowledge production, research agenda setting, research financing, sharing and protecting knowledge, implementation of knowledge and other knowledge-based activities. Rules range from social expectations to intellectual property law. | ||
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+ | | Knowledge synthesis || Pulling together what is known about a problem from either or both of academic research and non-academic knowledge. | ||
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+ | | Knowledge systems || The people, practices and institutions (including universities) involved in producing, transferring and using knowledge. There are three basic conceptualizations to which the term knowledge system may refer to, namely the way of knowing, networks and the combination of the two. For more information check out Apetrei et al. 2021. | ||
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+ | | Leadership || Being in charge of, guiding, encouraging, organising and/or directing other individuals, teams or organisations or other constructed institutions. | ||
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+ | | Legitimacy || What is accepted as proper (for researchers and stakeholders) in conducting research including knowledge, concerns, processes and authorisation. For stakeholders, legitimacy also includes whether representatives of stakeholder groups are nominated in a generally acceptable way. | ||
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+ | | Leverage Points || Places in systems where a small shift in one element can change or tilt the behaviour of the whole system or significant parts of the system. | ||
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+ | | Mean (Descriptive statistics) || The mean is the average of numbers you can simply calculate by adding up all the numbers and then divide them by how many numbers there are in total. | ||
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+ | | Median (Descriptive statistics) || The median is the middle number in a sorted set of numbers. It can be substantially different from the mean value, for instance when you have large gaps or cover wide ranges within your data. Therefore, it is more robust against outliers. | ||
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+ | | Meeting Protocols || Explicit expectations and ground rules for meetings, aiming to make them run better. Meetings involve two or more people, occur in many environments and serve multiple purposes, often involving sharing information and/or joint decision making. Conferences are included. | ||
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+ | | Mental models || Mental models are representations of reality of individuals, based on the individuals perceptions, and guides their actions. Mental models are a combination of the surrounding people’s minds are their private images (or other representations) of, and thought process about, what things are and how things work in the real world. These subjective, incomplete and sometimes flawed simplifications of reality play a major role in how people think, reason and make decisions. | ||
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+ | | Minimum adequate model || To arrive at the minimum adequate model, which is the most parsimonious model, the non-significant treatments and treatment interactions are removed from a constructed full model. It basically equals a reduction of the full model and follows Occam's razor. | ||
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+ | | Mode (Descriptive statistics) || The mode is the value that appears most often. It can be helpful for the analysis of large datasets to locate the most frequently occurring number and when you have a lot of repetitions within the dataset. | ||
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+ | | Multicollinearity (Statistics) || Testing for multicollinearity of variables means testing for correlations between independent variables. There are many measures to check for the phenomena of multicollinearity, which can also be defined as the relation between predictor variables. | ||
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+ | | Networking || Developing and using a web of professional contacts who can, when needed or requested, provide various forms of support including information, resources, insights, feedback, advice, contacts for others, and assistance with dissemination of research findings. Some network connections may develop into relationships. | ||
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+ | | Non-linearity || Relationships where changes in inputs do not lead to proportional changes in outcomes. Outcomes may be chaotic, unpredictable, or counterintuitive. | ||
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+ | | Normativity || Normativity can be defined as any form of evaluation by humans. While normativity in the past was often preoccupied with questions of good and evil, we put an emphasis on better or worse. | ||
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+ | | Null hypothesis || An example of a null hypothesis (H0) would be: All swans are white. The H0 is the claim that the effect being studied does not exist, meaning that there is no statistical significance in a set of given observations. | ||
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+ | | Occam’s razor || The Franciscan friar William of Occam came up with this fundamental and important principle in science and especially in modern statistics. Occam’s razor means, that "everything should be as simple as possible, but as complex as necessary." Being a principle, or better say a principle of parsimony, it is suggested that this thought extends to everything. | ||
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+ | | Ontological domains (Strata of knowledge) || Firstly, there is the real, which means everything there is. Secondly, there is the actual, which means everything we can grasp and thirdly, the empirical, which is everything we can observe. | ||
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+ | | Open Science || A movement to make research processes, data and findings transparent and accessible to all. It includes access to research papers that is open, rather than behind a paywall, open reviewing where the reviewers’ names and comments are made public, and making research processes public e.g. making researcher notebooks and raw data available online. | ||
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+ | | Paradigm || A universally recognized scientific achievement that provides theoretical and practical foundations for a specific scientific community. | ||
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+ | | Participation || A general term for a range of interactions both among researchers and other university staff with different expertise and between researchers and stakeholders. | ||
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+ | | Patterns || Patterns are regularities, where the elements repeat in predictable ways. Examples are standard ways of approaching a problem, standard sub-processes in modelling, standard layouts for organising research publications (eg introduction, methods, results, discussion). Patterns can be explicit or tacit. | ||
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+ | | Perseverance || Persistence or continued effort in doing something in order to achieve success, often despite difficulties, delay, failure and opposition. Also a Mars rover. | ||
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+ | | Policymaking || Setting the course of action to be pursued, especially by government, business or nongovernmental organisations. For governments, policy making includes making or changing laws and regulations, and setting budget priorities. | ||
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+ | |Positivism || Positivism accepts only claims that are grounded in empirical observation or that can be logically deduced from such observations. Metaphysical claims which cannot be verified via empirical observation are deemed unscientific. | ||
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+ | | Power || Possession of control, authority or influence over others and how it impacts the conduct and communication of research, as well as research implementation and change. | ||
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+ | | Power asymmetry || Differential ability to exert control, authority or influence over others, within science especially in deciding what research will be conducted and how. | ||
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+ | |Prescriptive knowledge || Prescriptive knowledge is a kind of action-oriented knowledge that “informs recommendations about more desirable options to realize intentions […] and that guides and inspires actors in creating change […]” (Caniglia et al. 2020). Alongside generative and strategic knowledge, prescriptive knowledge “inform[s] intentional design following the normative intention of creating transformative change” (Caniglia et al. 2020). | ||
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+ | | Problem-framing || Problems are defined differently by different disciplinary experts and stakeholders. Addressing any problem requires taking these different understandings of the problem into account in developing an agreed (or at least acceptable) statement of the problem, which will then determine how it is tackled. Coming to a shared problem framing will not always be possible, especially for complex problems. | ||
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+ | | Processes || Series of actions or steps taken in order to achieve particular ends. | ||
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+ | | Productive disagreement || Turning discomfort, tension, arguments or conflict into dialogue that broadens perspectives and aids learning and creativity. | ||
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+ | | Qualitative research || Qualitative research focuses on the human dimensions of the observable or conceptual reality, often linking observational data or interpretation of existing data directly to theory or concepts. | ||
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+ | | Quantitative research || Quantitative research focuses on the statistical and mathematical analysis of data, as well as the general analysis and often interpretation of data that consists of numbers. | ||
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+ | | Range || In statistics, range is simply the difference between the lowest and highest value in a given set of data. It is therefore measured in this way, using the same unit as the data. The range shows the variation in the data set. | ||
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+ | | Recombination of existing methods (Questioning the status quo in methods) || The knowledge gap is often not so clear. While one method is concrete, the other is vague. However, the recombination of existing methods can consolidate the importance of one method. Recombining methods requires experience with several methods. | ||
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+ | | Reliability (Experiments and Hypothesis Testing) || A measurement can be defined as reliable if you can repeat it and always get the same results. Producing similar patterns under same conditions, a reliable measure gives you an idea whether your analysis is accurate. | ||
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+ | | Relocation of existing methods (Questioning the status quo in methods) || Relocating an existing method requires experience in recognizing a gap that can be filled, as well as knowledge of the method. Establishing a method based on relocating existing methods takes less time than introducing a new method from scratch. | ||
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+ | | Researcher || Someone who works actively in research. | ||
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+ | | Research ecosystem / environment || Different layers and interconnections which affect research conduct, including individuals, teams, organisations, funding and the communities in which research may be embedded. Ecosystems operate within and across institutions. | ||
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+ | | Research impact || Change that can be attributed to research. This includes making a difference in policy or practice, or in skills, attitudes, relationships or thinking. Research implementation is the process, research impact is the outcome, although impact may not be able to be unequivocally linked to specific implementation activities. | ||
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+ | | Rules || Accepted principles or instructions about the way things are or should be done, including norms, practices, taboos, regulations, legislation, treaties and ordinances. | ||
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+ | | Scaffolding || Using temporary structures, techniques, ideas, spaces etc to help those new to aspects of research integration and implementation understand and use concepts, methods and processes that are hard to grasp. Scaffolding is often provided by an educator or facilitator. | ||
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+ | | Scale || The unit of analysis, usually geographical region for spatial scale, time period for temporal scale and institutional level for organisational scale. | ||
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+ | | Scientist || Someone who has gone through a scientific education. | ||
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+ | | Scientific Method || Scientific methods create knowledge in accordance with certain principles and rigour. | ||
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+ | | Scoping || The process of identifying all aspects of a problem that are important, including discipline experts and stakeholders who should be involved in developing understanding and action. This is followed by a process of boundary setting, ie setting priorities for the approach that will be taken. | ||
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+ | | Sense-making || An on-going process of refinement of plausible understandings and effective actions in situations of high complexity and uncertainty. | ||
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+ | |Situated knowledge || Situated knowledge is a kind of action-oriented knowledge that “emerges from and is often tailored to specific contexts (for example, local ecological knowledge or indigenous knowledge), which is essential for taking action adaptively in response to changing circumstances” (Caniglia et al 2020). Alongside emergent and tactical knowledge, situated knowledge “enable[s] the realization of actions in specific contexts” (Caniglia et al. 2020). | ||
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+ | | Software || The non-physical operating system and application programs of computers. The term was coined by John Tukey. | ||
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+ | | Standard deviation (Descriptive statistics) || The standard deviation is calculated as the square root of variance by determining the variation between each data point relative to the mean. It is a measure of how spread out the numbers are. If the data points are further from the mean, there is a higher deviation within the data set. The higher the standard deviation, the more spread out the data is. | ||
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+ | | Storytelling || A social and cultural activity for sharing and interpreting knowledge and experiences, and for education. | ||
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+ | |Strategic knowledge || Strategic knowledge is a kind of action-oriented knowledge that “defines priorities of actions for the realization of intentions and that relies, among others, on: an understanding of fits and misfits between intentions and context […], the anticipation of possible consequences of actions (including unintended ones) and the capacity to adapt to changing circumstances […]” (Caniglia et al. 2020). Alongside generative and prescriptive knowledge, strategic knowledge “inform[s] intentional design following the normative intention of creating transformative change” (Caniglia et al. 2020). | ||
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+ | | System || Any number of individuals or elements that interact. | ||
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+ | | System Dynamics || Focuses on the interactions and dynamic relationships between system elements, with feedback as the central concept. System dynamics are often modelled, e.g. with Causal-Loop Diagrams, which enables the researcher to observe and measure the behavior of the system. | ||
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+ | | Tacit knowledge || Knowledge can be called tacit when it is "generated from individual or collective experiences, developed by doing, and embedded in skills, expertise and values". It is the opposite of explicit knowledge and something that one might be unaware of having at all. Examples are: "situated and strategic kinds of knowledge [...] about how to manage common resources", traditional farming practices or rituals. | ||
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+ | |Tactical knowledge || Tactical knowledge is a kind of action-oriented knowledge that “supports actors in advancing towards the realization of change by creating alliances […], capitalizing on existing resources and opportunities, and adapting to the realities of local contexts while considering short- and long-term effects of interventions” (Caniglia et al. 2020). Alongside emergent and situated knowledge, tactical knowledge “enable[s] the realization of actions in specific contexts” (Caniglia et al. 2020). | ||
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+ | | Theory || A systematic ideational structure of broad scope, conceived by the human imagination, that encompasses a family of empirical (experiential) laws regarding regularities existing in objects and events, both observed and posited. | ||
+ | |- | ||
+ | | Three principal theories of Western philosophy || These are namely reason, social contract and utilitarianism. They are relevant for empiricism but also susceptible to biases. | ||
+ | |- | ||
+ | | Three types of knowledge (System Knowledge, Target Knowledge, Transformation Knowledge) || Three types of knowledge that are relevant to provide solutions to a problem, and foster change. As defined by Brandt et al. (2013), System knowledge refers to the observation of the context of a given system and interpretation of the underlining drivers and buffers that causes and determine the extent of change. Target knowledge refers to the scope of action and problem-solving measures given by the natural constraints, social laws, norms and values within the system, and the interests of actors and their individual intentions. Transformation knowledge refers to the practical implications that can be derived from target knowledge to change existing habits, practices and institutional objectives. Typically conceptualized in Sustainability Science, famously proposed by ProClim (1997). | ||
+ | |- | ||
+ | | Tipping Points || Thresholds that, when exceeded, lead to large irreversible changes in systems. | ||
+ | |- | ||
+ | | Toolkits || Collections of resources for undertaking various aspects of research integration and implementation. They are often, but not always, collections of methods and processes. | ||
+ | |- | ||
+ | | Transdisciplinarity || Transdisciplinarity is a mode of research that is based around the understanding that certain types of problems cannot be defined from a single discipline's perspective. Instead, Transdisciplinarity aims to already integrate different types of knowledge, both academic and non-academic, in the problem definition phase. These jointly defined problems are then addressed by integrating knowledge, often with the goal to develop solution strategies to these problems. | ||
+ | |- | ||
+ | | Trust || To have confidence in attributes such as the integrity, ability and reliability of someone (e.g. other researchers) or something (e.g. a model). | ||
+ | |- | ||
+ | | Uncertainty (Experiments and Hypothesis Testing) || While validity encompasses everything from theory building to a final confirmation, uncertainty is only preoccupied with the methodological dimension of hypothesis testing. Uncertainty can tell us that observations might be flawed, measurements might be wrong, an analysis might be biased and mis-selected. Thus, uncertainty is a term for all the errors that can occur within a methodological application. | ||
+ | |- | ||
+ | | Validity (Experiments and Hypothesis Testing) || Indicates how well a method is suited to measure what is intended to be measured. It qualifies to which extent a hypothesis can be confirmed and is thus a central concept in hypothesis testing and overall deductive approaches. Validity encompasses the whole process of the application of statistics, meaning it spans from the postulation of the original hypothesis over the methodological design, the choice of analysis and finally the interpretation. | ||
+ | |- | ||
+ | | Vision || A vision provides “a key reference point for developing strategies to transition from the current state to a desirable future state” (Wiek & Iwaniec, 2014). A vision can take the form of qualitative or quantitative goals and targets, e.g. concerning the outcome of a research project, or societal change. | ||
+ | |- | ||
+ | | Visualisation || Any technique for communicating ideas (abstract or concrete), information, situations etc through creation of some kind of image, diagram, map, animation or game. | ||
+ | |- | ||
+ | | Wicked problems || They can be understood as "dynamically complex, interdependent, high-stakes dilemmas with no simple or evident definition (let alone any simple or obvious solution)" (Lake et al., 2016). Both action and inaction to solve a wicked problem bear risks and uncertainties. The most prominent example is climate change. | ||
+ | |- | ||
+ | | Window of opportunity || Favourable opportunity when taking immediate action is likely to achieve a desired outcome. If the opportunity is missed, the possibility of action is lost. | ||
|} | |} | ||
+ | |||
+ | === References === | ||
+ | Apetrei, C. I., Caniglia, G., Von Wehrden, H., Lang D. J. (2021). Just another buzzword? A systematic literature review of knowledge-related concepts in sustainability science. Global Environmental Change 68, 102222. https://doi.org/10.1016/j.gloenvcha.2021.102222 | ||
+ | |||
+ | Lake, D., Fernando, H., & Eardley, D. (2016). The social lab classroom: wrestling with—and learning from— sustainability challenges. Sustainability : Science, Practice and Policy, 12(1), 76–87. https://doi.org/10.1080/15487733.2016.11908155 | ||
+ | |||
+ | Caniglia, G., Luederitz, C., Von Wirth, T., Fazey, I., Martín‐López, B., Hondrila, K., König, A., Von Wehrden, H., Schäpke, N., Laubichler, M. D. & Lang, D. J. (2020). A pluralistic and integrated approach to action-oriented knowledge for sustainability. Nature Sustainability, 4(2), 93–100. https://doi.org/10.1038/s41893-020-00616-z |
Latest revision as of 18:10, 19 November 2024
This Glossary lists terms and words that are relevant to this Wiki.
- For many Glossary entries, you will find a list of Wiki articles that prominently contain this term.
- To see all entries that contain the term, please type the term into the search bar on the top right.
- The Glossary is work in progress and continuously amended.
- A considerable part of these definitions is adapted from the Integration and Implementation Insights Blog. We are thankful for their contribution and highly recommend visiting the blog!
Term | Explanation | |
---|---|---|
Accountability | Being responsible for one’s actions, performance, behaviours, decisions and more, both on an individual and an institutional level, including the responsibility for negative outcomes and consequences. | |
Adaptation | Adaptation is both an adjustment to actual or expected change and the adjustments required to achieve change, and is most prominently used on climate change research, yet can be valuable way beyond that. The adjustments aim to moderate, mitigate or altogether avoid harm and to exploit beneficial opportunities and may require on-going flexibility where there is continuous change. | |
Advocacy | Activity by an individual or group that aims to influence decisions in a particular way. | |
Agency | The capacity of an individual to act intentionally with the assumption of a causal outcome based on this action. | |
Alternative hypothesis | An example for an alternative hypothesis (H1) would be: There is one black swan. The H1 claims that there is an effect and consequently opposes and challenges the null hypothesis (H0). | |
Analogy | A cognitive process useful in problem solving. It involves reasoning by transferring information or meaning from a particular problem to another problem to develop solutions. There is also a more common use of the term ‘analogy’ which is a linguistic expression comparing things with similar features to help explain an idea. | |
Art | The expression of creativity in objects, environments and experiences which are beautiful or have emotional power, allowing our senses to be at their fullest. Includes painting, sculpture, architecture, music, theatre, film, dance, literature. | |
Assumptions | For individuals, assumptions are essentially mental models that consist of a prerequisite that is considered to be true or false without immediate evidence. For theories, methods and models, assumptions are often simplifications that are an important element that allow for their construction and that affect how useful they are. | |
Bias | The action of supporting or opposing a particular person or thing in an unfair way, because of allowing personal opinions to influence your judgement. | |
Brainstorming | A divergent thinking technique to generate numerous and diverse ideas, including quirky ones, which is used when creative thinking is required, e.g. in problem solving. | |
Causality | Causality is a construction happening in our minds. Thus, it is important to recognize its limitations. According to Hume, causality is contiguous in space and time, the cause is prior to its effect, and there is a constant union between cause and effect. | |
Change | Various aspects of altering reality as we perceive it, which may range from minor to transformational and which include, but do not necessarily lead to, improvement. Concrete considerations include modifying policy and/or practice in government, business or civil society, as well as planning for the future. | |
Change resistance | Opposing alterations or suggested alterations to the status quo. This can be by, for example, individuals, groups or organisations. Resistance to change also occurs in natural and social systems. | |
Collective intelligence | The shared wisdom and knowledge that emerges out of a group’s collective efforts, that is more than an individual can produce, allowing for consensus decisions. Such knowledge is often more than the sum of the parts of knowledge of all individuals, thereby enabling novel solutions. | |
Colleges of peers | Groups of people with similar expertise in research who can effectively assess each other’s research grant applications and publications. This is analogous to the way normal science operates. | |
Communication | Sharing information, by various means, especially to increase understanding between individuals or groups. | |
Competencies | Knowledge, skills, abilities and attributes required to understand, integrate and create knowledge. | |
Complex Systems / Complexity | Complex systems are composed of many components which may interact with each other in various ways and which are therefore difficult to model. Specific properties include non-linearity, emergence, adaptation and feedback loops. | |
Concept | Abstract mental representation of our world. | |
Consultation | A one-directional information flow from practice actors (stakeholders) to academia, most commonly in form of questionnaires and interviews, which provides input or feedback to proposed or active research. | |
Context | The specific settings and circumstances of any given system or group of people. These context specific factors can include historical, political, cultural and other circumstances, as well as the structure and culture of the research and/or stakeholder organisations involved. | |
Co-produced knowledge | Co-produced knowledge is a kind of action-oriented knowledge that “emerges from collective processes […], includes different actors and incorporates their diverse and divergent perspectives, views and interests” (Caniglia et al. 2020). Alongside critical and empowering knowledge, co-produced knowledge “enhance[s] shared agency by addressing differences in interests, views, values and power” (Caniglia et al. 2020). | |
Creativity | Forming something novel and valuable, including ideas, theories, inventions and art. | |
Credibility | The believability of a person, source or message based on trustworthiness and expertise, and also often-shared experience and/or identity. | |
Critical knowledge | Critical knowledge is a kind of action-oriented knowledge that “questions existing institutions […], interrogates prevailing power asymmetries […], contests conventional assumptions and values […] and enables marginalized views, needs and interests […]” (Caniglia et al. 2020). Alongside empowering and co-produced knowledge, critical knowledge “enhance[s] shared agency by addressing differences in interests, views, values and power” (Caniglia et al. 2020). | |
Critical realism | A philosophical approach to understand science. It opposes claims of empiricism and positivism and states that there are endless strata of knowledge to explore. Roy Bhaskar coined the term and proposed three ontological domains (strata of knowledge). | |
Cultural Models | Cultural models are taken-for-granted understandings of the world that are shared by groups of people. Like a mental model (on an individual scale), a cultural model is a group’s implicit representations of, and thought processes about their perceived reality. | |
Culture | Behaviours and norms shared by groups of people. When the group is a society, culture includes language, religion, cuisine, social habits, music and arts. When the group is an organisation, culture includes shared attitudes, values, goals, and practices. | |
Culture Shift | The process of changing beliefs, behaviours and outcomes, usually in an organisation or other constructed institutions. | |
Cross-cultural research | Investigating issues that involve two or more cultures. Also includes learning from other cultures. | |
Data | Quantitative or qualitative units of information that can be used for analysis. | |
Debiasing | Accounting for and reducing biases, particularly in judgments and decision-making. | |
Decision context | The circumstances under which a decision is made and which influence the decision. | |
Decision-making | Selecting a course of action among several alternate possibilities. | |
Decision support | Use of analytical tools, which may be computerized, to assist individuals and groups in decision making. Decision support includes various kinds of modelling and mapping. | |
Deductive reasoning | Deductive reasoning builds on statements or theories that are confirmed by observation or can be confirmed by logic. | |
Dialogue | Conversations to share understandings and, ideally, integrate them towards solutions. Such conversations are often centred around problem framing, mutual learning and joined consensus, resolving problems for action. The aim is not to convince others, but instead to mutually share openly and honestly. Dialogue can be unstructured, semi-structured or structured. Structured dialogues are helpful when groups get larger. | |
Dispositions | A person’s innate or learned qualities and inclinations, including tendencies to act in specific ways. Dispositions are useful for research integration and implementation include humility, curiosity and flexibility. | |
Dualism | Also known as either/or thinking. A style of thinking that builds on a constructed meaning in the world by dividing ideas, people, objects, processes and so on into two contrasting fundamental categories, e.g. good or evil, subject or object, and quantity or quality. | |
Emergence | The incurrence of a characteristic or behaviour of two or more entities that could not be anticipated based on the individual parts. | |
Emergent knowledge | Emergent knowledge is a kind of action-oriented knowledge that is “generated in open-ended and exploratory cycles of intervention, reflection and evaluation (for example, in real-world laboratories or transition arenas) to identify action pathways, while also improving understanding of how to respond to new experiences, altered interpretations and changed circumstances” (Caniglia et al. 2020). Alongside tactical and situated knowledge, emergent knowledge “enable[s] the realization of actions in specific contexts” (Caniglia et al. 2020). | |
Empirical (research) | Empirical (experiential) means that knowledge is derived from observation, experimentation, measurement and experience rather than from theory, belief or pure logic. The overall goal is to generate knowledge by exploring or explaining behaviors and phenomena. | |
Empowering knowledge | Empowering knowledge is a kind of action-oriented knowledge that “enables agency (individual and collective), builds capacities […] and supports actors to realize intentions in favour of new and alternative social and political orders” (Caniglia et al. 2020). Alongside critical and co-produced knowledge, empowering knowledge “enhance[s] shared agency by addressing differences in interests, views, values and power” (Caniglia et al. 2020). | |
Empowerment | The highest form of involvement of non-scientific actors in research, where marginalized or suppressed stakeholders are given authority and ownership and solve problems themselves, and/or are directly involved in the decision-making process at the collaboration level. | |
Endogenous view | Approaches a problem searching for its causes and cures within the system boundary. | |
Epistemology | It is about the nature of knowledge, so what we know about the world and how we create this knowledge. | |
Extrapolation (Regression analysis) | Extrapolation is a statistical technique allowing to predict values of data points beyond the range of the known values in the data set. An example of extrapolation would be a mechanistic model of climate change, where based on the trend in CO2 rates in the atmosphere over the last decades one tries to predict future trends. | |
Facilitation | Planning, guiding and managing a group process and environment, by a facilitator. Facilitation is a composite term that may include:: full participation, mutual understanding, shared purpose and responsibility, and high-quality decisions. There may also be other aims depending on the purpose of the group process, and since professional facilitation is currently emerging, this definition may change. | |
Falsification | A principle of scientific inquiry which stipulates that any knowledge is assumed to be valid only temporarily since it can always shown to be false or incomplete at a later point. Therefore, we can accept a piece of information as knowledge, as long as it is not falsified, i.e., proven to be wrong. Science strives to falsify its knowledge continuously to arrive at better knowledge, thus the process of falsification may never stop. | |
Feedback Loops | A feedback loop is a process in which an output of a system is circled back and used as one or more inputs, through direct or indirect causal links. Feedback loops can be reinforcing (positive) or balancing (negative). | |
Fragmentation | Existing and functioning in separate parts, usually referring to the research ‘community’ with expertise in research integration and implementation. | |
Framework | A real or conceptual basic structure that supports or guides practical applications. | |
Funding | The provision of money, usually by agencies associated with government, philanthropy, or business, to support research on complex problems. | |
Generative knowledge | Generative knowledge is a kind of action-oriented knowledge that “draws upon and engages with multiple perspectives for the creation of new and alternative social–ecological, institutional and cultural relationships and arrangements […]” (Caniglia et al. 2020). Alongside prescriptive and strategic knowledge, generative knowledge “inform[s] intentional design following the normative intention of creating transformative change” (Caniglia et al. 2020). | |
Grey Literature | Literature that is published not by a commercial publisher but by an organisation itself. Reports or policy papers often fall under this category. | |
Hardware (Programming) | The physically tangible components of the computer, for example the CPU, graphics card and the keyboard. | |
Hypothesis | A preconceived idea about the world that guides the research process and is to be falsified by it. | |
Incommensurability | Ideas, theories, methods, standards, values and more, often from different disciplines, that have no common basis and are therefore unable to be integrated (for example in interdisciplinary research). | |
Inductive reasoning | Inductive reasoning draws conclusions based on data or observations. | |
Innovation | Implementing something novel, including a new idea, method, technology or product. | |
Institutionalisation | Embedding research integration and implementation into the academic mainstream, e.g. by establishing departments of research integration and implementation, centres of interdisciplinarity, relevant journals and professional associations, funding streams, promotion criteria etc. | |
Interactional expertise | The ability to understand disciplines, professional practice and community experience without being trained in those disciplines or professions or having lived in those communities. | |
Interpolation (Regression analysis) | Interpolation is the mathematical procedure to get a value between two known data points. Thus, it allows to predict within the range of the given data, spanning over gaps in the data. A prominent example is the Worldclim dataset, which generates a global climate dataset based on advanced interpolation. Based on ten thousand of climate stations and millions of records this dataset provides knowledge about the average temperature and precipitation of the whole terrestrial globe. | |
Invention of new methods (Questioning the status quo in methods) | The invention of new methods is super rare considering successful ones. It demands experience, as well as a recognition of a lack or gap within methods. Inventing new methods can eventually close gaps in the knowledge production. However, it takes time for a new method to become established in the canon of scientific knowledge. | |
Journals | Academic or scholarly periodicals where knowledge about theories, methods and topics are published. | |
Knowledge as entity | Knowledge as described by a set of attributes and as a "thing" that can be possessed by an individual or group. These concepts are characterised by the emphasis on one or more dimensions: method of acquisition, temporal or spatial scale, holder of knowledge, object of knowledge - what it is about, etc. Examples include traditional or traditional ecological knowledge (TK/TEK), indigenous (ecological) knowledge (IK/IEK) and local (ecological/environmental) knowledge (LK/LEK). | |
Knowledge as process | This perspective focuses on actions, rather than properties, and the flows by which knowledge moves within a system. Some are production and application related processes, while others are related to transfer and mediation. | |
Knowledge as system | Knowledge takes a holistic perspective and is not just a quantity or quality, nor does it relate to a mere process or action. Rather, its nature is seen as multidimensional, requiring a simultaneous focus on the set of relevant elements, their interrelationships, and any properties that emerge from the interactions. Knowledge does not just exist in a system; it is the system itself. | |
Knowledge for and through learning | This type of knowledge processes looks at the dynamics of knowledge in a system, in relation to learning. Learning is how knowledge as an entity is updated via process and takes many forms, e.g. social learning, policy learning, etc., but also includes concepts such as education for sustainable development or social information. | |
Knowledge governance | Formal and informal rules that shape knowledge production, research agenda setting, research financing, sharing and protecting knowledge, implementation of knowledge and other knowledge-based activities. Rules range from social expectations to intellectual property law. | |
Knowledge synthesis | Pulling together what is known about a problem from either or both of academic research and non-academic knowledge. | |
Knowledge systems | The people, practices and institutions (including universities) involved in producing, transferring and using knowledge. There are three basic conceptualizations to which the term knowledge system may refer to, namely the way of knowing, networks and the combination of the two. For more information check out Apetrei et al. 2021. | |
Leadership | Being in charge of, guiding, encouraging, organising and/or directing other individuals, teams or organisations or other constructed institutions. | |
Legitimacy | What is accepted as proper (for researchers and stakeholders) in conducting research including knowledge, concerns, processes and authorisation. For stakeholders, legitimacy also includes whether representatives of stakeholder groups are nominated in a generally acceptable way. | |
Leverage Points | Places in systems where a small shift in one element can change or tilt the behaviour of the whole system or significant parts of the system. | |
Mean (Descriptive statistics) | The mean is the average of numbers you can simply calculate by adding up all the numbers and then divide them by how many numbers there are in total. | |
Median (Descriptive statistics) | The median is the middle number in a sorted set of numbers. It can be substantially different from the mean value, for instance when you have large gaps or cover wide ranges within your data. Therefore, it is more robust against outliers. | |
Meeting Protocols | Explicit expectations and ground rules for meetings, aiming to make them run better. Meetings involve two or more people, occur in many environments and serve multiple purposes, often involving sharing information and/or joint decision making. Conferences are included. | |
Mental models | Mental models are representations of reality of individuals, based on the individuals perceptions, and guides their actions. Mental models are a combination of the surrounding people’s minds are their private images (or other representations) of, and thought process about, what things are and how things work in the real world. These subjective, incomplete and sometimes flawed simplifications of reality play a major role in how people think, reason and make decisions. | |
Minimum adequate model | To arrive at the minimum adequate model, which is the most parsimonious model, the non-significant treatments and treatment interactions are removed from a constructed full model. It basically equals a reduction of the full model and follows Occam's razor. | |
Mode (Descriptive statistics) | The mode is the value that appears most often. It can be helpful for the analysis of large datasets to locate the most frequently occurring number and when you have a lot of repetitions within the dataset. | |
Multicollinearity (Statistics) | Testing for multicollinearity of variables means testing for correlations between independent variables. There are many measures to check for the phenomena of multicollinearity, which can also be defined as the relation between predictor variables. | |
Networking | Developing and using a web of professional contacts who can, when needed or requested, provide various forms of support including information, resources, insights, feedback, advice, contacts for others, and assistance with dissemination of research findings. Some network connections may develop into relationships. | |
Non-linearity | Relationships where changes in inputs do not lead to proportional changes in outcomes. Outcomes may be chaotic, unpredictable, or counterintuitive. | |
Normativity | Normativity can be defined as any form of evaluation by humans. While normativity in the past was often preoccupied with questions of good and evil, we put an emphasis on better or worse. | |
Null hypothesis | An example of a null hypothesis (H0) would be: All swans are white. The H0 is the claim that the effect being studied does not exist, meaning that there is no statistical significance in a set of given observations. | |
Occam’s razor | The Franciscan friar William of Occam came up with this fundamental and important principle in science and especially in modern statistics. Occam’s razor means, that "everything should be as simple as possible, but as complex as necessary." Being a principle, or better say a principle of parsimony, it is suggested that this thought extends to everything. | |
Ontological domains (Strata of knowledge) | Firstly, there is the real, which means everything there is. Secondly, there is the actual, which means everything we can grasp and thirdly, the empirical, which is everything we can observe. | |
Open Science | A movement to make research processes, data and findings transparent and accessible to all. It includes access to research papers that is open, rather than behind a paywall, open reviewing where the reviewers’ names and comments are made public, and making research processes public e.g. making researcher notebooks and raw data available online. | |
Paradigm | A universally recognized scientific achievement that provides theoretical and practical foundations for a specific scientific community. | |
Participation | A general term for a range of interactions both among researchers and other university staff with different expertise and between researchers and stakeholders. | |
Patterns | Patterns are regularities, where the elements repeat in predictable ways. Examples are standard ways of approaching a problem, standard sub-processes in modelling, standard layouts for organising research publications (eg introduction, methods, results, discussion). Patterns can be explicit or tacit. | |
Perseverance | Persistence or continued effort in doing something in order to achieve success, often despite difficulties, delay, failure and opposition. Also a Mars rover. | |
Policymaking | Setting the course of action to be pursued, especially by government, business or nongovernmental organisations. For governments, policy making includes making or changing laws and regulations, and setting budget priorities. | |
Positivism | Positivism accepts only claims that are grounded in empirical observation or that can be logically deduced from such observations. Metaphysical claims which cannot be verified via empirical observation are deemed unscientific. | |
Power | Possession of control, authority or influence over others and how it impacts the conduct and communication of research, as well as research implementation and change. | |
Power asymmetry | Differential ability to exert control, authority or influence over others, within science especially in deciding what research will be conducted and how. | |
Prescriptive knowledge | Prescriptive knowledge is a kind of action-oriented knowledge that “informs recommendations about more desirable options to realize intentions […] and that guides and inspires actors in creating change […]” (Caniglia et al. 2020). Alongside generative and strategic knowledge, prescriptive knowledge “inform[s] intentional design following the normative intention of creating transformative change” (Caniglia et al. 2020). | |
Problem-framing | Problems are defined differently by different disciplinary experts and stakeholders. Addressing any problem requires taking these different understandings of the problem into account in developing an agreed (or at least acceptable) statement of the problem, which will then determine how it is tackled. Coming to a shared problem framing will not always be possible, especially for complex problems. | |
Processes | Series of actions or steps taken in order to achieve particular ends. | |
Productive disagreement | Turning discomfort, tension, arguments or conflict into dialogue that broadens perspectives and aids learning and creativity. | |
Qualitative research | Qualitative research focuses on the human dimensions of the observable or conceptual reality, often linking observational data or interpretation of existing data directly to theory or concepts. | |
Quantitative research | Quantitative research focuses on the statistical and mathematical analysis of data, as well as the general analysis and often interpretation of data that consists of numbers. | |
Range | In statistics, range is simply the difference between the lowest and highest value in a given set of data. It is therefore measured in this way, using the same unit as the data. The range shows the variation in the data set. | |
Recombination of existing methods (Questioning the status quo in methods) | The knowledge gap is often not so clear. While one method is concrete, the other is vague. However, the recombination of existing methods can consolidate the importance of one method. Recombining methods requires experience with several methods. | |
Reliability (Experiments and Hypothesis Testing) | A measurement can be defined as reliable if you can repeat it and always get the same results. Producing similar patterns under same conditions, a reliable measure gives you an idea whether your analysis is accurate. | |
Relocation of existing methods (Questioning the status quo in methods) | Relocating an existing method requires experience in recognizing a gap that can be filled, as well as knowledge of the method. Establishing a method based on relocating existing methods takes less time than introducing a new method from scratch. | |
Researcher | Someone who works actively in research. | |
Research ecosystem / environment | Different layers and interconnections which affect research conduct, including individuals, teams, organisations, funding and the communities in which research may be embedded. Ecosystems operate within and across institutions. | |
Research impact | Change that can be attributed to research. This includes making a difference in policy or practice, or in skills, attitudes, relationships or thinking. Research implementation is the process, research impact is the outcome, although impact may not be able to be unequivocally linked to specific implementation activities. | |
Rules | Accepted principles or instructions about the way things are or should be done, including norms, practices, taboos, regulations, legislation, treaties and ordinances. | |
Scaffolding | Using temporary structures, techniques, ideas, spaces etc to help those new to aspects of research integration and implementation understand and use concepts, methods and processes that are hard to grasp. Scaffolding is often provided by an educator or facilitator. | |
Scale | The unit of analysis, usually geographical region for spatial scale, time period for temporal scale and institutional level for organisational scale. | |
Scientist | Someone who has gone through a scientific education. | |
Scientific Method | Scientific methods create knowledge in accordance with certain principles and rigour. | |
Scoping | The process of identifying all aspects of a problem that are important, including discipline experts and stakeholders who should be involved in developing understanding and action. This is followed by a process of boundary setting, ie setting priorities for the approach that will be taken. | |
Sense-making | An on-going process of refinement of plausible understandings and effective actions in situations of high complexity and uncertainty. | |
Situated knowledge | Situated knowledge is a kind of action-oriented knowledge that “emerges from and is often tailored to specific contexts (for example, local ecological knowledge or indigenous knowledge), which is essential for taking action adaptively in response to changing circumstances” (Caniglia et al 2020). Alongside emergent and tactical knowledge, situated knowledge “enable[s] the realization of actions in specific contexts” (Caniglia et al. 2020). | |
Software | The non-physical operating system and application programs of computers. The term was coined by John Tukey. | |
Standard deviation (Descriptive statistics) | The standard deviation is calculated as the square root of variance by determining the variation between each data point relative to the mean. It is a measure of how spread out the numbers are. If the data points are further from the mean, there is a higher deviation within the data set. The higher the standard deviation, the more spread out the data is. | |
Storytelling | A social and cultural activity for sharing and interpreting knowledge and experiences, and for education. | |
Strategic knowledge | Strategic knowledge is a kind of action-oriented knowledge that “defines priorities of actions for the realization of intentions and that relies, among others, on: an understanding of fits and misfits between intentions and context […], the anticipation of possible consequences of actions (including unintended ones) and the capacity to adapt to changing circumstances […]” (Caniglia et al. 2020). Alongside generative and prescriptive knowledge, strategic knowledge “inform[s] intentional design following the normative intention of creating transformative change” (Caniglia et al. 2020). | |
System | Any number of individuals or elements that interact. | |
System Dynamics | Focuses on the interactions and dynamic relationships between system elements, with feedback as the central concept. System dynamics are often modelled, e.g. with Causal-Loop Diagrams, which enables the researcher to observe and measure the behavior of the system. | |
Tacit knowledge | Knowledge can be called tacit when it is "generated from individual or collective experiences, developed by doing, and embedded in skills, expertise and values". It is the opposite of explicit knowledge and something that one might be unaware of having at all. Examples are: "situated and strategic kinds of knowledge [...] about how to manage common resources", traditional farming practices or rituals. | |
Tactical knowledge | Tactical knowledge is a kind of action-oriented knowledge that “supports actors in advancing towards the realization of change by creating alliances […], capitalizing on existing resources and opportunities, and adapting to the realities of local contexts while considering short- and long-term effects of interventions” (Caniglia et al. 2020). Alongside emergent and situated knowledge, tactical knowledge “enable[s] the realization of actions in specific contexts” (Caniglia et al. 2020). | |
Theory | A systematic ideational structure of broad scope, conceived by the human imagination, that encompasses a family of empirical (experiential) laws regarding regularities existing in objects and events, both observed and posited. | |
Three principal theories of Western philosophy | These are namely reason, social contract and utilitarianism. They are relevant for empiricism but also susceptible to biases. | |
Three types of knowledge (System Knowledge, Target Knowledge, Transformation Knowledge) | Three types of knowledge that are relevant to provide solutions to a problem, and foster change. As defined by Brandt et al. (2013), System knowledge refers to the observation of the context of a given system and interpretation of the underlining drivers and buffers that causes and determine the extent of change. Target knowledge refers to the scope of action and problem-solving measures given by the natural constraints, social laws, norms and values within the system, and the interests of actors and their individual intentions. Transformation knowledge refers to the practical implications that can be derived from target knowledge to change existing habits, practices and institutional objectives. Typically conceptualized in Sustainability Science, famously proposed by ProClim (1997). | |
Tipping Points | Thresholds that, when exceeded, lead to large irreversible changes in systems. | |
Toolkits | Collections of resources for undertaking various aspects of research integration and implementation. They are often, but not always, collections of methods and processes. | |
Transdisciplinarity | Transdisciplinarity is a mode of research that is based around the understanding that certain types of problems cannot be defined from a single discipline's perspective. Instead, Transdisciplinarity aims to already integrate different types of knowledge, both academic and non-academic, in the problem definition phase. These jointly defined problems are then addressed by integrating knowledge, often with the goal to develop solution strategies to these problems. | |
Trust | To have confidence in attributes such as the integrity, ability and reliability of someone (e.g. other researchers) or something (e.g. a model). | |
Uncertainty (Experiments and Hypothesis Testing) | While validity encompasses everything from theory building to a final confirmation, uncertainty is only preoccupied with the methodological dimension of hypothesis testing. Uncertainty can tell us that observations might be flawed, measurements might be wrong, an analysis might be biased and mis-selected. Thus, uncertainty is a term for all the errors that can occur within a methodological application. | |
Validity (Experiments and Hypothesis Testing) | Indicates how well a method is suited to measure what is intended to be measured. It qualifies to which extent a hypothesis can be confirmed and is thus a central concept in hypothesis testing and overall deductive approaches. Validity encompasses the whole process of the application of statistics, meaning it spans from the postulation of the original hypothesis over the methodological design, the choice of analysis and finally the interpretation. | |
Vision | A vision provides “a key reference point for developing strategies to transition from the current state to a desirable future state” (Wiek & Iwaniec, 2014). A vision can take the form of qualitative or quantitative goals and targets, e.g. concerning the outcome of a research project, or societal change. | |
Visualisation | Any technique for communicating ideas (abstract or concrete), information, situations etc through creation of some kind of image, diagram, map, animation or game. | |
Wicked problems | They can be understood as "dynamically complex, interdependent, high-stakes dilemmas with no simple or evident definition (let alone any simple or obvious solution)" (Lake et al., 2016). Both action and inaction to solve a wicked problem bear risks and uncertainties. The most prominent example is climate change. | |
Window of opportunity | Favourable opportunity when taking immediate action is likely to achieve a desired outcome. If the opportunity is missed, the possibility of action is lost. |
References
Apetrei, C. I., Caniglia, G., Von Wehrden, H., Lang D. J. (2021). Just another buzzword? A systematic literature review of knowledge-related concepts in sustainability science. Global Environmental Change 68, 102222. https://doi.org/10.1016/j.gloenvcha.2021.102222
Lake, D., Fernando, H., & Eardley, D. (2016). The social lab classroom: wrestling with—and learning from— sustainability challenges. Sustainability : Science, Practice and Policy, 12(1), 76–87. https://doi.org/10.1080/15487733.2016.11908155
Caniglia, G., Luederitz, C., Von Wirth, T., Fazey, I., Martín‐López, B., Hondrila, K., König, A., Von Wehrden, H., Schäpke, N., Laubichler, M. D. & Lang, D. J. (2020). A pluralistic and integrated approach to action-oriented knowledge for sustainability. Nature Sustainability, 4(2), 93–100. https://doi.org/10.1038/s41893-020-00616-z