Integration and Implementation Sciences (i2S) 3.0: An updated framework to foster expertise for tackling complex problems

By Gabriele Bammer

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Gabriele Bammer (biography)

How can researchers interested in tackling complex societal and environmental problems easily find and draw on what they need from inter- and transdisciplinary approaches, systems thinking, action research, post-normal science and a range of other ways of combining disciplinary and stakeholder perspectives in order to bring about improvements? How can the necessary expertise be fostered and supported in a systematic way?

These are the questions that I have been addressing for more than 20 years in considering whether a new discipline – Integration and Implementation Sciences or i2S – could provide a way forward. i2S 3.0 is the third conceptualization of this discipline and the current version is summarised in the figure below.

At this stage in its development, i2S is focused on providing a framework and conduit for sharing concepts, methods, processes and other tools that are currently fragmented across inter- and transdisciplinarity, systems thinking, action research, post-normal science and other approaches.

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How science thought leadership enhances knowledge exchange

By Stefan Kaufman and Anthony Boxshall

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1. Stefan Kaufman (biography)
2. Anthony Boxshall (biography)

What is science thought leadership? What characterises science thought leadership and leaders? How does science thought leadership offer opportunities for researchers to participate in knowledge exchange?

Most examinations of knowledge exchange focus on the researchers and/or the decision makers, while the role of experts and intermediaries who are internal to the decision making process, but not the decision makers themselves, has largely been ignored. It is these internal experts and intermediaries that we refer to as science thought leaders.

Specifically, for us “science thought leadership” is “when people using, brokering or providing evidence are (simultaneously): influential, credible and valued in supporting decision making in their organization and its context” (Kaufman and Boxshall, 2023).

We found that science thought leadership has the following 11 characteristics, grouped into four categories:

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Bringing an evidence mindset to commercial products

By Natalia I. Kucirkova

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Natalia I. Kucirkova (biography; photo by Elisabeth Tønnessen)

Picture this: science seamlessly woven into commercial products for a better world. How can we foster more effective integration of science into commercial products? How can we help companies cultivate an evidence mindset?

An evidence mindset is a habit of mind committed to thoughtful engagement with research to guide understanding and actions. As a research professor leading a network of scientists supporting educational companies in integrating learning sciences into children’s products, I aim to help such companies balance their social mission with financial viability. This includes nurturing an evidence mindset.

When our researchers collaborate with companies, we assist them in establishing a research library, guiding them to actual studies instead of relying on vague phrases. We include research studies that support their ideas but also studies that contradict them.

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Challenges in knowledge translation: A Global South perspective

By Fajri Siregar

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Fajri Siregar (biography)

How is knowledge translation the same between the Global South and the Global North? What are the particular challenges in the Global South? How should future support be focused in the Global South and what, in particular, can funders do?

Common knowledge translation mechanisms

The impact of the political system on the basic mechanisms of evidence use are quite alike globally. Whether one works in a country of the Global South or North, one needs to identify influential actors to engage, the right channels to lobby, the most effective means of communication, and the right policy that needs changing. In this sense, researchers all over the world face the same struggles.

There is also a growing trend in both the Global South and North to eliminate boundaries between the realms of science and the public.

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Knowledge translation and multilingualism

By Chalani Ranwala

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Chalani Ranwala (biography)

How can knowledge translation be made more effective in countries where multiple languages are spoken, including many countries in the Global South, as well as countries with large immigrant or refugee populations?

Anywhere in the world, knowledge translation is facilitated through a process of communicating messages to an audience, who will ultimately use that information to inform their own opinions and actions. However, the way that information is perceived, digested, discussed, and passed on is shaped by the environment in which an audience lives. For example, factors such as education, economic status, political climate and cultural norms play a part in how we consume information. Here I focus on one factor – language – building on my work in research communication in Sri Lanka.

Language has a significant influence on the way knowledge translation takes place in bilingual and multilingual countries.

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Tips for influencing government policy with research

By John Thwaites

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John Thwaites (biography)

Considering three questions can help researchers interested in better use of evidence in government policy making:

  1. how is evidence used by politicians?
  2. why is best evidence not always followed?
  3. what can be done to improve the likelihood that evidence will inform policy?

How evidence is used by politicians

It is useful to start with an appreciation that politicians look to many forms of evidence other than academic research, including the grey literature, government reports, reports from Royal commissions, various other forms of expert evidence (including the politician’s favourite expert), the experience of citizens, anecdotal evidence, reports from interested parties produced by consultants, the media and Google searches.

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Six lessons for connecting evidence to policy and practice in the Global South

By Fréjus Thoto

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Fréjus Thoto (biography)

How can the ecosystem of evidence use in policy and practice work better in Global South countries such as Benin?

Here I provide six lessons drawn from activities undertaken by the African Center for Equitable Development (ACED), a non-profit think-and-do tank, located in Benin, West Africa. Our focus has been on the food and nutrition security sector.

Lesson 1: Access to policy-relevant evidence is still a big challenge

There is still much work to do in order to ensure that timely and policy-relevant evidence is produced and accessible to users. We have developed a national platform to consolidate and display the available statistical data, research findings, and evaluation findings. However, a platform alone is not enough, and research agenda setting, research-policy dialogues and other strategic activities are required.

Lesson 2: Involve governments at all levels in evidence-informed policymaking processes

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Challenges to science-policy-society interactions in transdisciplinary research

By Oghenekaro N. Odume, Akosua B. K. Amaka-Otchere, Blessing N. Onyima, Fati Aziz, Sandra B. Kushitor and Sokhna Thiam

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1. Oghenekaro N. Odume; 2. Akosua B. K. Amaka-Otchere; 3. Blessing N. Onyima; 4. Fati Aziz; 5. Sandra B. Kushitor; 6. Sokhna Thiam (biographies)

Why is transdisciplinary research that aims to co-produce knowledge across academic disciplines, policy contexts and societal domains often so difficult? What are the key challenges that need to be overcome?

We identified five key challenges when we analysed five projects implemented in nine African cities which were part of the Leading Integrated Research for Agenda 2030 in Africa (LIRA) program (Odume et al., 2021).

Challenge #1: Conceptual threshold crossing

Science-policy-society interactions require active engagement of diverse actors, often with different discursive language and epistemic backgrounds. Translating academic discourse into accessible everyday language can be challenging. In the same vein, policy and societal actors use discourse unfamiliar to academic actors.

Conceptual threshold crossing in terms of intellectual, ontological, and cognitive transformation is particularly challenging when projects are not just about understanding problems or raising awareness, but about true co-production of knowledge and co-ownership of the resulting outcomes.

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Institutionalizing evidence-informed policy-making in Latin America and the Caribbean / Institucionalizando la toma de decisiones informadas por evidencias en Latinoamérica y el Caribe/ Institucionalizando a formulação de políticas informadas em evidências na América Latina e Caribe

By Directors and Coordinators of the Latin American and the Caribbean Evidence Hub

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Author biographies

A Spanish version and a Portuguese version of this post are available

How is the routine use of evidence in policy in Latin America and the Caribbean progressing? How is it being institutionalized?

We provide a brief history of key initiatives to institutionalize evidence-informed policy making mechanisms in the region.Research and policy interface

* The Latin American and the Caribbean Evidence Hub is an interdisciplinary and trilingual team who work together to create a dynamic and diverse community that articulates and mobilizes producers, intermediaries and users of knowledge in the region for decision making informed by the best available evidence. In 2022, it organized workshops with multi-country stakeholders and a regional meeting.

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Analysing key policy actors with the alignment, interest and influence matrix (AIIM)

By Enrique Mendizabal

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Enrique Mendizabal (biography)

How can researchers seeking to change a policy get a useful picture of the key actors involved in that policy space? Who should they partner with? Who will need convincing? Whose arguments will counter their own?

The Alignment, Interest and Influence Matrix (AIIM) was designed to address these questions.

The AIIM tool is useful as far as it can encourage an open and thoughtful conversation. In my experience, the tool is most useful when the people involved provide a breadth of experience and insight into the policy process that they are trying to affect. Users should not rule out having to put the AIIM on hold while they gather further evidence, nor going back to the matrix as they gain new insights during the implementation of their plans.

The process involves 6 steps and can be completed during a participatory workshop.

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Three lessons for policy engagement

By Emily Hayter

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Emily Hayter (biography)

How can researchers be supported in communicating their research and in supporting policymakers to use research and evidence? Are there particular issues for researchers in the global south?

The three lessons presented here are based on the experience of INASP (International Network for Advancing Science and Policy), an international development organisation which has been working with a global network of partners in Africa, Latin America and Asia for nearly 30 years.

1. Policy engagement needs to build mutual understanding between researchers and policymakers as actors in a system (the ‘how’)

The research/policy space is not quite the chasm it is often presented as, needing a ‘bridge’ to cross between two distinct groups.

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Intentional ecology: Building values, advocacy and action into transdisciplinary environmental research

By Alexandra Knight and Catherine Allan

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1. Alexandra Knight (biography)
2. Catherine Allan (biography)

As a society, how do we encourage early and ethical action when building our knowledge and confronting serious challenges?

In this blog post we explore the conceptual framework of intentional ecology and apply it to a case study to illustrate how it deals with the question raised above.

Intentional ecology – foundations and actions

Intentional ecology, illustrated in the figure below, is a new conceptual framework that enables early, applied and relevant integrated action, as well as reflexive and dynamic approaches to implementation of conservation and sustainability measures. It’s a better way of doing science.

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