Recruiting the younger generation to science

Pharmaceutical Scientists' Perspectives on Capacity Building in Pharmaceutical Sciences

With the anticipated health challenges brought by demographic and technological changes, ensuring capacity in underlying workforce in place is essential for addressing patients' needs. Therefore, a timely identification of important drivers facilitating capacity building is important for strategic decisions and workforce planning. In 2020, internationally renowned pharmaceutical scientists (N = 92), largely from the academia and pharmaceutical industry, with mostly pharmacy and pharmaceutical sciences educational background were approached (through a questionnaire) for their considerations on influencing drivers to facilitate meeting current capacity in pharmaceutical sciences research. From a global view, based on the results of the questionnaire, the top drivers were better alignment with patient needs as well as strengthening education - both through continuous learning and deeper specialisation. The study also showed that capacity building is more than simply increasing the influx of graduates. Pharmaceutical sciences are being influenced by other disciplines, and we can expect more diversity in scientific background and training. Capacity building of pharmaceutical scientists should allow flexibility for rapid change driven by the clinic and need for specialised science and it should be underpinned by lifelong learning.

Teaching the bioinformatics of signaling networks: an integrated approach to facilitate multi-disciplinary learning

The number of bioinformatics tools and resources that support molecular and cell biology approaches is continuously expanding. Moreover, systems and network biology analyses are accompanied more and more by integrated bioinformatics methods. Traditional information-centered university teaching methods often fail, as (1) it is impossible to cover all existing approaches in the frame of a single course, and (2) a large segment of the current bioinformation can become obsolete in a few years. Signaling network offers an excellent example for teaching bioinformatics resources and tools, as it is both focused and complex at the same time. Here, we present an outline of a university bioinformatics course with four sample practices to demonstrate how signaling network studies can integrate biochemistry, genetics, cell biology and network sciences. We show that several bioinformatics resources and tools, as well as important concepts and current trends, can also be integrated to signaling network studies. The research-type hands-on experiences we show enable the students to improve key competences such as teamworking, creative and critical thinking and problem solving. Our classroom course curriculum can be re-formulated as an e-learning material or applied as a part of a specific training course. The multi-disciplinary approach and the mosaic setup of the course have the additional benefit to support the advanced teaching of talented students.