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Climate change is currently one of the biggest challenges both in terms of danger to natural habitats, wildlife, and humanity. To tackle climate change, we need to reduce our carbon emissions in a fast and decisive way. This thesis studies one of the potential solutions to do so: green hydrogen. More specifically, its potential development by 2030 in Spain using INKA 4.0 scenario planning software.
Green hydrogen shows to have a wide range of applications, from transport to heating and industry with great potential to decarbonize many sectors. It does come, however with a number of important hurdles mainly related to cost, scalability and technical difficulties that will need to be addressed for it to be successful. With this, 10 descriptors were created generating three scenarios to be studied. The most consistent of them, a successful development of green hydrogen in Spain by 2030 is characterized by having all of its descriptors in a favoring state while the other two have some or all in a hindering state, making its development not successful within the established timeframe. Concluding that due to the great challenge the development of green hydrogen is, its success needs to have all factors supporting it.
The longevity industry has been expanding for several years now, with the goal to prolong not only the lifespan of people but also their healthspan. One of the most remarkable techniques in the field is the CRISPR Cas-9 gene-editing tool, which owing to its flexibility and efficiency, allows humans to develop new treatments to prevent or cure a great variety of diseases. This paper aims to forecast the future state of the CRISPR Cas-9 technology in Germany in 2035 by using the INKA 4 scenario manager software. A total of five areas of influence –– i.e. scientific, economic, demographic, ethical, and legal –– were identified. From those, 11 descriptors were created based on relevant scientific literature and were introduced in the INKA software to develop the scenarios. This process resulted in three clearly differentiated scenarios that exhibit high probabilities of a positive outlook for the CRISPR-Cas9 technology in Germany by 2035.