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Finding common ground

Many coastal communities worldwide are facing challenges caused by increasing sea levels. However, urban development, population growth and industrialisation in low-lying delta regions persist. This includes the Netherlands and British Columbia, Canada. Both regions explore new and innovative flood risk and adaptation strategies by initiating nature-based solutions (NBS) pilot projects and integrating research and community initiatives. The aim of this paper is to learn from the experiences with these NBS pilots and support practitioners with insights and knowledge about the prospectives and implementation process of NBS. Our study takes a bird's eye view by diving into four NBS case study projects that try to enhance flood defence and quality of life while considering ecosystems and community values simultaneously. To better understand current initiatives on NBS, we first describe the historical trajectories of flood risk management and climate adaptation policy in both countries. Then we analyse two urban and two suburban case studies to identify and compare enablers and barriers that surround the implementation of NBS. We use the Pilot Paradox as a framework to reflect on the enablers and barriers, and to formulate recommendations for barriers that are common ground. We found that upscaling of the pilots forms an important challenge in both countries. We also found that Canada is interested in exchanging technical knowledge, experiences, and insights with other countries through the involvement of international researchers, consultants, and students in projects. Such collaboration between countries, communities, practitioners, and academics could accelerate the development of innovative climate adaptation strategies worldwide.

Finding your feet

Finding the way to direct EU funding for cities

This report is the result of a research interest stemming from the case presented by the City of Budapest on the misalignment between EU funding opportunities and the interdependence of the national government. The main research question was “Which channels exist for a local or regional government to access EU funding directly, without the need for interference of the national government?”. Recent political developments in Hungary have led to an increasing amount of budgetary challenges for the City of Budapest. Besides domestic factors, the European Commission’s decision to suggest to withhold cohesion and RRF funds to Hungary raises the question of what different avenues of direct EU funding instruments might be at the city’s disposal. Therefore, the aim of this research is to provide recommendations on what avenues the City of Budapest might want to invest in in terms of advocacy activities on the EU level. We first conducted a desk research, mapping the current landscape of EU funding instruments under the direct management of the EU (the overview can be found in the appendix). Secondly, ten interviews were conducted in October and November 2022 with several multi-level stakeholders from the European Parliament, the European Commission, the umbrella organisation of cities in the European Union ‘Eurocities’, a Hungarian journalist and a regional representation in Central-Eastern Europe. Based on these conversations, we identified five main findings with corresponding recommendations for action.

The 3Ranker

The search for existing non-animal alternative methods for use in experiments is currently challenging because of the lack of both comprehensive structured databases and balanced keyword-based search strategies to mine unstructured textual databases. In this paper we describe 3Ranker, which is a fast, keyword-independent algorithm for finding non-animal alternative methods for use in biomedical research. The 3Ranker algorithm was created by using a machine learning approach, consisting of a Random Forest model built on a dataset of 35 million abstracts and constructed with weak supervision, followed by iterative model improvement with expert curated data. We found a satisfactory trade-off between sensitivity and specificity, with Area Under the Curve (AUC) values ranging from 0.85-0.95. Trials showed that the AI-based classifier was able to identify articles that describe potential alternatives to animal use, among the thousands of articles returned by generic PubMed queries on dermatitis and Parkinson's disease. Application of the classification models on time series data showed the earlier implementation and acceptance of Three Rs principles in the area of cosmetics and skin research, as compared to the area of neurodegenerative disease research. The 3Ranker algorithm is freely available at www.open3r.org; the future goal is to expand this framework to cover multiple research domains and to enable its broad use by researchers, policymakers, funders and ethical review boards, in order to promote the replacement of animal use in research wherever possible.

Finding potentially new multimorbidity patterns of psychiatric and somatic diseases: exploring the use of literature-based discovery in primary care research.

BACKGROUND: Multimorbidity, the co-occurrence of two or more chronic medical conditions within a single individual, is increasingly becoming part of daily care of general medical practice. Literature-based discovery may help to investigate the patterns of multimorbidity and to integrate medical knowledge for improving healthcare delivery for individuals with co-occurring chronic conditions. OBJECTIVE: To explore the usefulness of literature-based discovery in primary care research through the key-case of finding associations between psychiatric and somatic diseases relevant to general practice in a large biomedical literature database (Medline). METHODS: By using literature based discovery for matching disease profiles as vectors in a high-dimensional associative concept space, co-occurrences of a broad spectrum of chronic medical conditions were matched for their potential in biomedicine. An experimental setting was chosen in parallel with expert evaluations and expert meetings to assess performance and to generate targets for integrating literature-based discovery in multidisciplinary medical research of psychiatric and somatic disease associations. RESULTS: Through stepwise reductions a reference set of 21,945 disease combinations was generated, from which a set of 166 combinations between psychiatric and somatic diseases was selected and assessed by text mining and expert evaluation. CONCLUSIONS: Literature-based discovery tools generate specific patterns of associations between psychiatric and somatic diseases: one subset was appraised as promising for further research; the other subset surprised the experts, leading to intricate discussions and further eliciting of frameworks of biomedical knowledge. These frameworks enable us to specify targets for further developing and integrating literature-based discovery in multidisciplinary research of general practice, psychology and psychiatry, and epidemiology.

Facilitaire regie

Facilitaire regie betreft sturing op de ondersteunende bedrijfsvoering binnen organisaties. Vijf deskundigen bespraken tijdens de F-mex bijeenkomst "Finding the next practice in regie" op de Haagse Hogeschool hoe regie het organisatiebelang optimaal kan dienen.