Our research will be additive and continuous. For various milestones, we will publish the results of our projects listed below.
Whenever possible we will build on research done by others and when feasible help or partner with other research organizations.
Because our research will require interactive collection and presentation software, we will use third party tools and, in many cases, need to build our own.
Greenhouse gases, biodiversity loss, and pollution (GBP) are major factors negatively affecting our environment, with responsibility falling on corporations, governments, and individuals. This research proposal aims to identify the types of environmental impact data and processes required for individuals to monitor the effects of their purchases and consumption on the environment, develop methods for presenting this data in an accessible and understandable manner, and explore how providing such data can help overcome biases (such as financial, tax, source of goods and health) and encourage sustainable decision-making.
This project sets out to investigate additional and modified data processes in the above project for adaptation rather than prevention. In many cases the significant limiting factors will be financial, tax and regularity.
This research project sets out to investigate the easiest and most efficient methods for individual (families) to track, present and forecast their specific data relating to greenhouse gases use, biodiversity loss, and pollution so that they fully understand their impact and and what they can do about it.
This data will be organized by Consumption (e.g. food, housing etc) Investments (shares, bonds etc), Constraints and Biases (e.g. nutrition, financial etc) and Governing (issues required by government action).
Greenhouse gases, biodiversity loss, and pollution (GBP) are major factors negatively affecting our environment, with responsibility falling on corporations, governments, and individuals. This research proposal aims to explore government roles in influencing individual behaviour, including the use of regulations and "carrot and stick" tax policies, such as carbon taxes and refundable incentives. We will also investigate the development of accessible environmental impact data and its integration into policy-making to enable individuals to make more informed decisions regarding their purchases and consumption.
How good will be the data? To ensure that their data ,processes, analysis and reports are accurate, Governments and Business provide audits, and in the case of financial statements these audits are carried out by independent audits. We will research how audits can be done on the data by using the latest AI techniques.
Greenhouse gases, biodiversity loss, and pollution (GBP) are major factors negatively affecting our environment, with responsibility falling on corporations, governments, and individuals. This research proposal aims to explore the use of generative AI in automating the collection of complex environmental impact data, as well as assisting in the creation of various methods to present this data to individuals. We will also investigate the accuracy of the generated data, the necessary safeguards to ensure its reliability, and the prevention of AI-induced biases.
