Innovation is critical for the survival and competitiveness of family firms, yet the concept of innovative capacity (IC), the underlying ability to generate, absorb, and apply knowledge for sustained innovation, remains conceptually ambiguous. This paper addresses this gap by developing a dynamic, multi-level …

Climate adaptation requires innovative approaches to address collaborative knowledge exchange and multidisciplinary problem solving. For over a decade, ClimateScan has provided an open-source platform to map urban resilience and existing climate adaptation solutions implemented all over the world. Apart …

This research held two main intentions, the first being to analyze what subsurface layouts have what kinds of effects on pipe length for the dike failure mechanism, and the second being to create a model using this information and knowledge. The first intention was completed using two different programs: …

Biwen Wang en Jennefer Beenen presenteerden een poster waarin werd getoond hoe de Hanze Sequencing Facility onderzoek, innovatie en onderwijs versterkt door middel van geavanceerde sequencingtechnologieën, deskundige ondersteuning en nauwe samenwerking met onderzoekers en studenten. "In 2026 is het 10 …

Daskan Inc. manages a diverse portfolio of engineering projects and faces a recurring challenge inaccurately estimating the engineering effort required and understanding differences in project workload and difficulty at the early stage of a project. Currently, these estimations rely heavily on expert …

In times of profound technological and societal change, the capacity of family firms to innovate is critical for both performance and long-term survival. Yet innovation research often emphasizes observable outcomes, obscuring the organizational abilities that enable sustained innovation across generations. …

Integration of agent-based modeling (ABM) and life cycle assessment (LCA) has been proposed and applied as an approach to leverage the complementary strengths of both methods in assessing sustainability impacts within complex socio-technical systems. However, the existing literature has focused primarily …

Industrial Cyber-Physical Systems (CPS) are sensitive infrastructure from both safety and economics perspectives, making their reliability critically important. Machine Learning (ML), specifically deep learning, is increasingly integrated in industrial CPS, but the inherent complexity of ML models results …

As applied design researchers we are sensemakers: we are digesting society’s complexity and set out to improve it in meaningful ways. With our practices, we aspire to be catalysts for societal transformation. We apply our imaginative abilities to come up with alternatives for the status quo and we materialise …

Background: Obesity is defined as a chronic, relapsing disease, characterised by its persistence and the frequent recurrence of weight gain following weight loss. It is linked to chronic diseases and reduced quality of life. Sustainable weight loss requires long-term dietary and behavioural changes. …