Dear Community. Due to the highly dynamic developments in the Metaverse, there is an urgent need to automate the activities of monitoring and evaluating events in the Metaverse environment. The MGH research team would like to optimize Metaverse research activities to increase efficiency, create a sustainable basis for decision-making and generate aggregated data for potential microservice offerings. Our proposed work package is structured as follows:
Define objectives and required outcomes for decision making.
Define evaluation criteria to assess known and new Metaverses in terms of their potential and relevance for MGH. This already considers the use of possible aggregators for this information.
Apply the identified criteria to the known Metaverse and the information available to create a sustainable decision basis.
Automation of continuous scanning and screening activities based on aggregators. Additional budget may be needed to use aggregator services available on the market. The decision to use third-party providers will be based on a price/performance assessment and a review of whether it would make more sense in the medium term to develop the aggregators ourselves.
Iterative optimization of the MGH-internal evaluation and decision-making process.
Develop a dashboard that can be accessed at any time to provide information on current Metaverse developments. The dashboard also serves as a basis for joint decision-making within Tech-Weekly with the core team.
With the automization in place, the research resources thus freed up will be used for further research topics beyond just Metaverses, which we are currently evaluating and will propose soon.
The proposed steps will require 10-14 days of work for our team. As a compensation and further incentive, 25K $MGH will be paid to the R&D team. An additional 1.000 $USDC will be reserved for potential expenses of commercially available, paid aggregator data.
We will keep you informed of the developments and our other activities on the MGH Metaverse R&D Group website.
Sincerely yours, R&D team