How scientists interpret and address funding criteria: value creation and undesirable side effects.

Scientists and funding bodies are interdependent actors involved in an ongoing two-way signalling interaction; however, we lack insight on the social mechanisms underpinning this interaction. To address this issue, we examine how successfully funded scientists interpret and address criteria set by the funding body to maximise their chances of funding success. We also consider the possible adverse side effects that can arise from scientists' competitive efforts to address these criteria. Our findings identify a portfolio of funding criteria-research feasibility, research alignment and team credentials-that scientists address when preparing grant applications. Effectively addressing these criteria enhances the prospects of funding success and value creation. However, we also find that scientists can over-address funding criteria, which is counterproductive and yields undesirable side effects. Our research therefore makes an important distinction between the possibilities for value creation and the value creation frictions that can unintentionally arise based on how grant-submitting scientists interpret and address the criteria signalled by the funding body. Our research has implications for policymakers, funding bodies and scientists which we also discuss.

Entrepreneurial ecosystems: economic, technological, and societal impacts.

Despite the overwhelming use of the metaphor 'ecosystem' in academia, industry, policy, and management, exact definitions of what 'ecosystems' really comprise are scarce and often inconsistent. Existing vague descriptions in the literature do not consider the boundaries of respective agglomerations, hence, they impede the evaluation of performance and outcome measures of respective ecosystems. This special issue is a first attempt to trace the 'ecosystem' discussion back to its roots-the ancient oikos, coined by the Greek philosopher Hesiod (700 BC), and aims to critically reflect on the usage of the term 'ecosystem', briefly summarize the extant literature and grasp the main features of entrepreneurial ecosystems, namely the economic, technological, and societal dimensions of entrepreneurial ecosystems. We intend to focus on the key elements that characterize an ecosystem, and hence, untangle under what conditions entrepreneurial firms shape and influence economic, technological, and societal thinking within their ecosystem.

Nine Principles of Semantic Harmonization.

Medical data is routinely collected, stored and recorded across different institutions and in a range of different formats. Semantic harmonization is the process of collating this data into a singular consistent logical view, with many approaches to harmonizing both possible and valid. The broad scope of possibilities for undertaking semantic harmonization do lead however to the development of bespoke and ad-hoc systems; this is particularly the case when it comes to cohort data, the format of which is often specific to a cohort's area of focus. Guided by work we have undertaken in developing the 'EMIF Knowledge Object Library', a semantic harmonization framework underpinning the collation of pan-European Alzheimer's cohort data, we have developed a set of nine generic guiding principles for developing semantic harmonization frameworks, the application of which will establish a solid base for constructing similar frameworks.