A method of establishing a targeted dividend reinvestment plan associated with environmental management projects, and financial securities generated therein. In one embodiment, the method comprises steps of providing a dividend reinvestment plan, identifying at least one environmental management project, generating financial securities (e.g. “green” shares or other financial instruments) associated with the environmental management project(s), receiving a direction from investors participating in the dividend reinvestment plan to invest funds through a purchase by the investor of financial securities associated with the environmental management projects, issuing the financial securities to investors, and allocating the funds to the environmental management project(s).

Implementations of the disclosed subject matter may provide a method includes determining, at a server, average historical usage of energy by a user based on received energy usage data. The server may determine at least one available energy usage plan from one or more energy providers based on the determined average historical usage of energy and by determining available energy rate structures. The server may determine an optimized energy usage from the one or more energy providers based on the determined at least one available energy usage plan. The method may include controlling, at the server, one or more setting of an energy usage device based on the determined optimized energy usage and a selected energy usage plan from the determined at least one energy usage plan.

Systems and methods for distributed, automated management of brownfield real estate asset remediation and/or redevelopment, including at least one server computer for analyzing and providing recommendations for a potential brownfield investment, wherein the at least one server computer is paired with a web-based graphical interface for accessing and editing stored documents, pictures, tasks, and budget information related to at least one brownfield asset.

Computer-based systems and methods produce output graphics and displays for financial advisors following computational discovery, assessment and alignment of a client's (e.g., an investor's) holdings and accounts to the client's unique social and environmental impact preferences. The systems and methods of the present invention can (1) track a client's unique set of social and environmental impact preferences using a detailed taxonomy; (2) quantitatively assess the client's portfolio of investment holdings on the selected social and environmental impact preferences; (3) search for new investment opportunities that would better align with the client's preferences; and (4) benchmark the client's portfolio and new investment opportunities against comparable market indices and custom portfolio blends. The system uses an intuitive user-interface that allows the clients to specify the investor's social and environmental impact preferences, and that provides the benchmarking analysis and new investment opportunities.

A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.

Techniques are provided for receiving and processing vetting, criteria, and certification parameters of entities intending to offer sustainable products and services to compute climate impact measurement, rating, and badge elevation output parameters. The techniques further receive informational input parameters about the sustainable products and services to offer the sustainable products and services in the form of benefits, gifts, incentives, recognition, rewards, engagement, teambuilding, and training tools. The techniques further generate, monitor, and update purchasing funds and offering flows in response to purchases or offerings of the sustainable products and services. The techniques further monitor how each recipient of the sustainable products and services or of the offering of benefits, gifts, incentives, recognition, rewards, engagement, teambuilding, and training tools further shares sustainable products and services or of the offering of benefits, gifts, incentives, recognition, rewards, engagement, teambuilding, and training tools to contacts in their respective social or digital networks.

A system incentivizing green energy usage is provided having a charging station, an electricity source electrically connected to said charging station, a signal indicative of the sustainability of the electricity source received by said charging station, a mobile electric device receiving electrical charge from said charging station, a signal indicative of electrical charge drawn from the electrical charging station, a signal indicative of usage data for the mobile electric device, the charging station determining pricing based on at least one of the signal indicative of the sustainability of the electricity source, the signal indicative of the electrical charge drawn and the signal indicative of usage data.

Systems and methods for controlling rights related to digital knowledge are disclosed. A sample system may include an input system to receive digital knowledge from a user, a tokenization system to tokenize the digital knowledge and a ledger management system to create, manage, and store things on a distributed ledger and provide provable access to the digital knowledge. A smart contract system may create a smart contract including triggering action is and respond with a defined smart contract action on an occurrence of the triggering event. The smart contract system may also process commitments to the smart contract.

A system, apparatus and method for automatic entity classification based on social media data is disclosed. An example system may include a social network data collection circuit to collect information about at least one entity involved in a bond transaction, and a condition classifying circuit to classify a condition of the at least one entity in accordance with a model and based on information from the social network data collection circuit, where the model is trained using a training data set of a plurality of outcomes related to the at least one entity. The system may further include an automated bond management circuit to manage an action related to the bond in response to the classified condition of the at least one entity.

Systems and methods using IOT input to validate a loan guarantee are disclosed. An example system may include an Internet of Things (IoT) data input circuit to interpret a loan guarantee parameter; an IoT data collection circuit to collect data using at least one algorithm that is configured to monitor IoT information collected from and about an entity involved in a loan in response to the loan guarantee parameter; and a guarantee validation circuit to validate a guarantee for the loan in response to the monitored IoT information.