議題
The urgent need to address global warming and pollution has led to a growing recognition of the importance of fast and widespread implementation of green technologies. Open licensing, including the use of the Creative Commons Attribution (CC BY) license, has been proposed as a means to accelerate this process by making research findings and technological innovations more accessible and affordable to a wider range of users. Secondly, a trend of separating experiments or modeling/simulation/analysis results from the research as an entity for future open licensing has come. It encourage researchers to better collaborate and reduce repetitive investment in resource and efforts. Beside demonstrating the examples of open data from experiments, I will also explain the principles of code writing and how to utilize a combination of several simulation software in order to maximize open licensing opportunities. Moreover,linked research open data is another theme of discussion.In order to balance open licensing and motivational innovation, tiered pricing scheme might be a good direction . Eventually, I also recommend an SDG- mapping intellectual property solution as the top-tiered strategy toward a sustainable future.
講者
Liam Ding
A cross-border thinker and intellectual property solution moderator. Currently serve as a senior engineer in ATE energy group. Have been an industrial veteran devoted to energy, utility and circular economy infrastructures ranging from renewable energy, green chemistry and recycled PET projects. Once been a public speaker for COSCUP conference with focus on open data applied in government procurement and initiative of BACT (Best Available Control Technology) for industrial emission(2015). I also care about high end engineering education therefore had filmed a YouTube program named “First Principle English” elaborating on engineering math. My goal is to build a media platform where intellectual properties serve to promote SDG goals and AI serves to facilitate engineering design.