connections - future capable

Adaptive Ecosystems: Designing University Permeability for Future and Change Capability in Higher Education

February 22, 2026February 20, 2026 by Ruth Bridgstock

This article is the 3rd in a series about making universities more future and change capable. Article 1 is here, and article 2 is here.

In previous posts, I argued that universities’ core challenge in navigating change is not resistance, but a lack of future and change capability: the institutional capacity to decide, deliberately and proportionately, when to change and when to hold steady, and to act coherently and sustain those choices over time.

Clarity of identity is foundational to future and change capability. But identity alone is insufficient. Universities must also consider how they are structurally connected to the environments in which they operate, and how those connections shape learning, judgement and action.

Universities operate within dense networks of policy settings, industries, professions, communities, technologies and social expectations. These relationships shape what institutions see, what they learn and what they are able to do. Adaptability requires institutional receptiveness to signals from their networks, particularly when those signals challenge established priorities or sunk investments.

All universities are embedded in ecosystems. The question for me is whether, and if so how, they have deliberately designed their institutional permeability within those ecosystems.

In this article, ecosystem refers to the broader network of relationships within which universities operate. Permeability describes how institutional boundaries are designed so that information, practice and collaboration move across them.

The term ecosystem requires care. Universities are not organic systems whose adaptation unfolds naturally through ecological interaction. They are public institutions with defined responsibilities and accountability obligations. Their adaptability depends on how deliberately they shape the boundaries through which they engage with others.

Universities generate knowledge, data and practice internally that must circulate effectively across academic and administrative domains. Boundaries determine how insight moves in both directions: how developments beyond the institution are taken up, and how internal expertise, research and experience inform strategy and external engagement. When those pathways are intentionally structured, information does not simply accumulate; it travels to places where it can inform deliberation and action.

This deliberate shaping of boundaries is what I mean by permeability, and it is what allows institutions to learn cumulatively rather than episodically. It refers to the intentional design of channels through which ideas, evidence and practice move across institutional domains and between the university and the wider ecosystem.

The following features illustrate how adaptive institutions design permeability in practice. The features are: relational infrastructure, shared expertise and co-design, structured experimentation, and informational permeability.

Relational Infrastructure

Relational infrastructure is one of the clearest expressions of institutional permeability. Most universities already possess substantial relational capacity, though often in uneven and fragmented forms.

Relationships exist across faculties, research centres, advancement teams, marketing functions and alumni networks. Advisory boards are convened, collaborations are formed and partnerships are announced. Yet these relationships frequently develop in parallel rather than in concert. They reflect local priorities, short-term projects or immediate resource needs.

Universities do not consistently treat relational infrastructure as an institutional capability in its own right. Where investment occurs, it is often directed toward short-term outcomes in recruitment, teaching, reputation or philanthropy. These functions are important, but relationships also represent deeper relational capital: accumulated trust, insight and shared experience that can inform institutional direction over time. That capital is not always recognised or mobilised as such.

Fragmentation is common in universities. Partnerships are distributed across organisational silos, information flows are incomplete and brokerage roles are inconsistently embedded in academic and strategic processes. Customer relationship management systems may exist, yet insight does not necessarily circulate beyond the units that generate it. Relational capital remains localised rather than institutional.

Permeability requires a more deliberate approach. It involves cultivating multi-stranded relationships that extend across research, teaching, innovation and engagement. It requires brokerage capacity that connects boundary work to strategic and academic processes. It depends on reciprocity: partnerships sustained through shared purpose and mutual benefit rather than transactional exchange.

Selectivity is equally important. Institutions cannot engage everywhere. The choice of relationships — which sectors, professions, communities and collaborators are prioritised — should align with institutional identity and long-term direction.

Where relational infrastructure is embedded in this way, it influences how the university defines problems, allocates resources and adapts over time. Relational capital becomes consequential when it shapes institutional trajectory rather than remaining an untapped asset.

Shared Expertise and Co-Design

Widespread co-design across an institution is another marker of permeability. It signals that boundaries are sufficiently open — internally and externally — for knowledge to be shaped collaboratively rather than transmitted in one direction.

Adaptability depends not only on access to information, but on how problems are framed and interpreted. Shared design processes influence that framing. When industry partners, community organisations, students and colleagues across faculties contribute to curriculum architecture, research priorities or program review, they reshape the questions being asked as well as the answers being generated. Misalignments between institutional assumptions and lived practice become more visible; constraints and opportunities surface earlier.

The value of co-design lies partly in epistemic expansion. Broadening participation reshapes how evidence is weighed and how institutional judgements are formed. It can narrow the distance between strategy and implementation, between professional practice and academic design, and between central priorities and local realities.

Participation in co-design relies on reciprocity. Contributors engage when they can see that their involvement will matter. For some partners, this may mean access to emerging talent or influence over curriculum direction; for others, it reflects professional stewardship or shared commitment to public purpose. Students may require payment for their time and expertise. Where outcomes are opaque or contributions have little visible effect, engagement weakens.

Not every institutional decision warrants co-design or collaborative shaping. The appropriateness of co-design depends on the object of design and what is at stake. Issues that depend on diverse expertise or shared ownership lend themselves to participatory processes. Others require timely executive judgement within established authority structures.

Structural tensions are unavoidable. Deliberative processes require time and coordination. Power asymmetries can distort participation. Conflicting stakeholder values may surface. Internal co-design — across faculties, central units and leadership — is often as significant as external collaboration. Without alignment across institutional domains, external insight struggles to gain traction.

Shared expertise strengthens institutional adaptability when participation is embedded within processes that connect contribution to institutional purpose.

Structured Experimentation

Adaptive and permeable institutions require structured experimentation: deliberate, bounded forms of variation through which new practices, configurations and partnerships can be tested before wider adoption.

Structured experimentation introduces controlled uncertainty into institutional practice.
Doing this well is demanding: it asks institutions to create space for learning in environments already stretched by workload, compliance and delivery pressures. It creates defined environments in which curriculum models, research translation pathways, partnership structures or organisational arrangements can be trialled at manageable scale. These environments are time-bound and linked to evaluation so that experimentation generates knowledge rather than simply activity.

Many universities already contain elements of this architecture. Curriculum sandpits allow academic teams to prototype new program designs. Applied research laboratories and translational hubs connect scholarly inquiry with partner practice. Incubator and accelerator programs support industry, student and staff enterprise while exposing institutional processes to emerging forms of work. Co-location within innovation precincts brings together researchers, educators, start-ups, established firms and community organisations in shared physical or virtual spaces. When intentionally designed, such precincts connect teaching, research and applied activity, enabling joint problem-solving and iterative development rather than episodic engagement.

These arrangements can be valuable because they make institutional variation visible and discussable. By clarifying what is being attempted, over what period and with what forms of evidence, institutions create conditions for informed judgement. Adaptation often depends on translating structured inquiry into practice.

Structured experimentation also helps manage tempo. Co-design and academic deliberation take time; external developments often move more quickly. Time-bound trials allow provisional responses while evidence accumulates. Institutions can adjust without committing prematurely to wholesale reform.

Interpretation of experiments remains centrally important. Evidence generated through trials must move into spaces where it can be weighed against mission, capacity and long-term direction. Where trials conclude without reflection, promising work dissipates. Where initiatives persist without clear evaluation, portfolios thicken without becoming stronger. Adaptive capacity depends on treating experimentation as part of institutional learning rather than as isolated activity.

When connected to relational infrastructure and aligned with institutional direction, structured experimentation strengthens permeability. It enables institutions to respond to change in ways that are deliberate, proportionate and cumulative.

Informational Permeability

Permeability expands what a university can see. Informational permeability determines whether that visibility sharpens judgement.

Adaptive institutions treat data, evidence and external intelligence as strategic resources. Insight takes multiple forms: institutional data about participation and performance; evaluative evidence from programs and experiments; sector-wide intelligence on labour markets, technology and policy; and knowledge generated through research and professional engagement. Most universities possess these forms of insight in some measure. Fewer integrate them deliberately.

Informational permeability rests on four interrelated practices.

Access. Relevant data and intelligence need to be accessible to those making consequential decisions. Fragmented systems, uneven analytical capability and restricted ownership limit awareness. Foundational data infrastructure and analytical expertise matter here, as does systematic engagement with external intelligence — labour market analytics, professional standards, technological developments and global higher education trends — rather than reliance on informal networks.

Interpretation. Insight requires collective sense-making. Patterns in student progression, research performance, demographic change, partnership outcomes or industry demand require contextual reading. Interpretation depends on forums in which evidence is examined in light of institutional purpose and capacity.

Translation. Information must be converted into practical implications. Labour market analysis may inform portfolio decisions; research capability mapping may shape partnership strategy; demographic shifts may alter recruitment and support models; technological developments may prompt redesign of services or investment priorities.

Use. Insight acquires institutional value when it influences decisions over time. This includes evaluating initiatives against explicit aims, discontinuing activity where outcomes are weak, consolidating where impact is demonstrable and adjusting where conditions shift. It also requires distribution: ensuring that relevant parts of the institution engage with and apply insight appropriately.

Together, these practices determine whether information shapes decisions about what to invest in, what to stop and what to reshape, or simply sits alongside them.

Arizona State University provides a useful illustration of informational permeability. Its investment in integrated student data systems linking progression analytics, curriculum design and support services has strengthened institutional responsiveness. The significance lies not only in technology, but in the alignment between information flows and institutional priorities. Insight informs redesign; redesign generates further insight; learning accumulates.

When data and intelligence remain fragmented, institutions respond in fragments.
In practice, institutions vary in how willing they are to confront what such insights reveal, particularly when it challenges established priorities or sunk investments.
When informational permeability is designed deliberately, insight travels, accumulates and sharpens adaptive capacity.

Conclusion: From Permeability to Capability

Adaptive capacity depends on the alignment between identity and permeability. Clarity of purpose anchors direction; permeability expands awareness. Together they shape the conditions under which institutions can learn deliberately rather than react episodically.

Relational infrastructure, shared expertise, structured experimentation and informational permeability broaden what institutions can see, test and understand. They create channels through which insight enters and circulates. Awareness alone does not constitute capability. Institutions must also be prepared to engage seriously with what that insight reveals, particularly when it challenges established priorities or settled assumptions.

The implications extend beyond individual institutions. A differentiated system strengthens permeability when institutions cultivate relationships and informational practices aligned with their distinctive missions. Policy settings are therefore important. When regulatory and funding frameworks assume uniform portfolios, relational and informational designs converge. When they enable differentiated contribution, permeability can deepen rather than fragment.

Many institutions can sense what is changing around them. Far fewer have deliberately designed the pathways that allow insight to accumulate, and the resolve to act on it thoughtfully.

The next article turns to how universities can design processes that translate institutional learning into deliberate, proportionate action over time.

Graduate Employability 2.0: Fostering university connectedness

August 7, 2016 by Ruth Bridgstock

Some of the most interesting findings from my fellowship interviews are actually about university stakeholder engagement and networks (or lack thereof), rather than student professional connectedness.

University approaches to external and internal stakeholder engagement are underdeveloped across the sector. Universities are still mostly taking short-term, ad hoc and often transactional approaches to working with our industry and community partners. While some universities do have stakeholder engagement strategies, these are often focussed on research and knowledge transfer, and they aren’t optimised for the mass teaching partnerships we are starting to embark upon.

In my interviews I heard many stories of great attempts to partner with industry for teaching that were thwarted by university systems and processes, or that only worked because they involved ‘guerrilla teaching practice’ outside our systems (you know what I’m talking about), and that may therefore be limited in scale and sustainability.

I heard about the challenges of working productively with partners across multiple organisational areas with multiple contact points and multiple different organisational processes. I heard variously about the risk of one person having all the contacts, the risk of sharing contacts with those who may not treat them sensitively, and the risk of the ubiquitous generic ‘contact us’ email address.

Perhaps most commonly, I heard about how we need to learn to value our partners in building long-term professional relationships for learning and teaching.

Some key questions for educators, program and university leaders in thinking about fostering our connectedness:

– who do we want our key industry and community partners to be, and what are we offering them in the long term? What value do we add?

– how are we valuing partner input in co-creating learning experiences for and with students?

– how can we ‘get out of our own way’, reduce institutional barriers to connectedness and improve engagement?

– who are our key contact points in the university for industry and community engagement? What kinds of resourcing and support do they need?

– how do we join up our engagement strategies and points of contact to improve consistency and quality of engagement?

– How do we manage the risk of engaging external partnerships at scale?

Some questions for educators:

I’m keen to know what your experiences have been with building your program / organisational area’s professional networks.

1. what does your university do well / not do well in supporting the development of your industry contacts and relationships for learning and teaching?

2. what motivations do industry and community partners bring to their partnerships with you, and what types of value does your program / university offer them?

3. how are your intra-university connections? How well connected are you with others within your university that are doing similar work / might have similar partners? How often do you experience the ‘left hand doesn’t know what the right hand is doing’ phenomenon with partners or partnership processes in your unversity? How do you navigate these challenges?

Send me an email if you like, or comment below if you dare… also I encourage those interested to join the GE2.0 community of practice, where there’s more info and discussion about these topics.

Graduate employability 2.0: Learning for professional connectedness

August 7, 2016 by Ruth Bridgstock

July was a busy month for me. I interviewed 43 people in different roles from a total of 26 Australian universities, to build a national picture of higher education engagement with learning and teaching for professional connectedness. The team have also profiled a number of humanities, arts and social sciences graduates and industry / community representatives across Australia to explore how professional connections and networks are important for success in 21^st century work and life (more on these findings later).

Key findings of the higher education interviews

Australia wide, universities are stepping up to the challenge of fostering graduate employability through industry and community engagement. There is a national movement towards the development of university-wide employability strategies and infusion of employability skills and career development learning into all levels of the curriculum and elements of the university experience.

We are using a range of broad pedagogic approaches that support support the university-wide strategies, including: new models of WIL, alumni engagement, direct industry teaching, co-curricular facilitation and recognition, social media and professional identity building online, and connected learning.

We continue to struggle with the resource-intensiveness of effective industry engagement, and the scalability of our programs. The ad hoc approaches that used to work with a small number of students across a few programs and a few industry partners are proving less effective as we move into an era where 100% of our students will experience learning that is integrated with, related to, and/or otherwise connected with the world of work.

Some specific thoughts about students’ professional connectedness capabilities

learning for professional connectedness remains tacit and undervalued. Students are increasingly working with industry and community within and outside the curriculum, but often do not realise the importance of the connections they are making, or how to value, foster and extend those connections for future employability
we need to go beyond Linkedin profiles. Development of student professional identities online is key to employability, but employers are looking for more than simple Linkedin profiles and ePortfolios. How are students actively engaged with their online professional networks? Do they have industry authentic blogs, portfolios, social media presences? Are they interacting with the professional community in meaningful ways?
how are we supporting student networking? Many of our industry-engaged pedagogic strategies build a few strong professional connections. On average, students know only 1 employer when they graduate (often a WIL employer). How are we supporting our students to ‘network’ and grow their wider professional connections?
professionals use their social networks to learn, but universities tend not to promote this type of learning. There are substantial opportunities for students, universities and industry in ‘connected learning’, building learning communities and communities of enquiry around mutual areas of interest and practice. How can we start to build these broader communities and networks and learn from each other?

If you want to know more about what I’ve been finding in my interviews, head on over to the Graduate Employability 2.0 community of practice.

Introducing ‘Graduate Employability 2.0’

April 5, 2016April 5, 2016 by Ruth Bridgstock

Did you know that Linkedin now has 300 million users, which is about 1 in 3 professionals worldwide? And that 35% of those users log in every day?

And did you know that about 60% of jobs are estimated to be obtained through ‘who you know’ rather than direct application? Did you also know that between 80 and 90% of university graduates only apply for jobs using direct application methods?

70% of learning in the workplace happens informally, much of it problem-based and self-directed, and about 90% of that involves social interaction – either face to face, online or both.

One recent study found that 86% of professionals use online social networks for professional purposes in the workplace. What do they use them for? networking within and outside the organisation, research and learning, and sharing resources and project information with colleagues.

Graduate Employability 2.0 is about all of these things. It explores a different way of engaging with learning and teaching for life and career post-university. Graduate Employability 1.0 was about skills, knowledge, and attributes that individual students can learn in order to be able to obtain or create work and perform well in work situations. In the Graduate Employability 2.0 era, individual skills, knowledge and attributes are still important, but so are the individual’s professional relationships and networks, and what they do with them. The ‘2.0’ signifies the central importance of the social, digitally networked world in which we now all live.

My 2015-2016 Australian Office of Learning and Teaching National Senior Teaching Fellowship seeks to identify the best ways to develop students’ capabilities to build and use professional connections, both online and face-to-face, for career development, creativity and problem-solving, and professional learning, all of which are essential to employability in the digital age.

Career development

Professional relationships, networks and social capital are vital to career development:

by increasing access to career resources, information about opportunities, and career sponsorship
through the individual’s online presence – their personal ‘brand’, ePortfolio, use of social media as an advertising / recruitment screening tool
through distributed, networked options for employment generation e.g., Airtasker, Upwork, crowdsourcing resources

Innovation, creativity and problem solving

Innovation and problem solving thrive on complex collaborative contexts:

by fostering new ideas through exposure to new people and new ideas (especially trans-disciplinarity)
by ensuring that new ideas are integrated, implemented and brought to fruition through teamwork;
by finding opportunities for enterprise – for example, new markets, collaborators and resources

Professional learning

Social connections facilitate the reciprocal transmission of skills and knowledge for professional learning:

through communities of practice and informal social learning
digitally through distributed learning networks (social media, crowdsourced learning e.g., wikipedia).

What does the fellowship involve?

Right now I am seeking cases of teaching practice, particularly in humanities, arts and social sciences (HASS) disciplines, that engage with these kinds of learning, and also some examples of graduates who are making the most of their social connections for professional purposes. Chosen cases will be included in a graduate employability toolkit and promoted nationally. If you are interested in being a case study, please get in touch.

I will be surveying all of the universities in Australia to find out to what extent and how they are engaging with teaching for the development of students’ professional connections.

Later on this year I’ll be working with four universities to build graduate employability 2.0 capabilities into their undergraduate programs. We’ll be doing some experiments and seeing which are the best ways to build professional networks into the curriculum

There will be a national symposium hosted at QUT, and I will launch an online community of practice for sharing, discussion and updates very shortly. Watch this space for details!