Platform for management and tracking of collaborative projects
Management and tracking of collaborative projects using a logging service configured to track contributions of a plurality of participants of a monitored project and log the contributions in a graph and timeseries-based contributions dataset. A knowledge graph generator generates a timeseries-based knowledge graph from gathered information. An automated planning service determines an associated value of the monitored project and a remuneration service analyzes the contributions dataset to determine appropriate apportionment of remuneration.
1 . A computing system for management and tracking of collaborative projects employing a collaborative platform, the computing system comprising:
one or more hardware processors configured for:
tracking contributions of a plurality of participants of a monitored project, wherein the contributions are formatted in a time-series contributions dataset;
gathering information from a plurality of sources including at least a competitor and investment insight service;
constructing a knowledge graph based at least on the timeseries-based contributions dataset and the information from the plurality of sources;
determining an associated value of the monitored project based at least on economic value of the monitored project by performing a plurality of graph analysis and transformations including edge analysis of the knowledge graph;
determining appropriate apportionment of remuneration based on relative contribution of the plurality of participants in the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph, and timeseries analysis on the time-series contributions dataset; and
automatically allocating remuneration in the determined apportionment.
2 . The computing system of claim 1 , wherein the one or more hardware processors are further configured for providing a user with an interface for interacting with the system.
3 . The computing system of claim 2 , wherein the interface is a labor board for posting and browsing resources.
4 . The computing system of claim 2 , wherein the interface is a massively multiplayer game, where a plurality of players is rewarded for solving in-game problems.
5 . The computing system of claim 2 , wherein the interface is a mixed-reality environment.
6 . The computing system of claim 2 , wherein the interface is a proposal board for posting proposals.
7 . The computing system of claim 1 , wherein the one or more hardware processors are further configured for autonomously creating a new project based at least on a user-defined trigger event.
8 . The computing system of claim 1 , wherein the one or more hardware processors are further configured for performing geospatial timeseries tracking of contributions and assets.
9 . A computer-implemented method executed on a collaborative platform for management and tracking of collaborative projects, the computer-implemented method comprising:
tracking contributions of a plurality of participants of a monitored project, wherein the contributions are formatted in a time-series contributions dataset;
gathering information from a plurality of sources including at least a competitor and investment insight service;
constructing a knowledge graph based at least on the timeseries-based contributions dataset and the information from the plurality of sources;
determining an associated value of the monitored project based at least on economic value of the monitored project by performing a plurality of graph analysis and transformations including edge analysis of the knowledge graph;
determining appropriate apportionment of remuneration based on relative contribution of the plurality of participants in the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph, and timeseries analysis on the time-series contributions dataset; and
automatically allocating remuneration in the determined apportionment.
10 . The computer-implemented method of claim 9 , further comprising providing a user with a plurality of interface options used for interacting with a computing system.
11 . The computer-implemented method of claim 10 , wherein the interface is a labor board for posting and browsing resources.
12 . The computer-implemented method of claim 10 , wherein the interface is a massively-multiplayer game, where a plurality of players is rewarded for solving in-game problems.
13 . The computer-implemented method of claim 10 , wherein the interface is a mixed-reality environment.
14 . The computer-implemented method of claim 10 , wherein the interface is a proposal board for posting proposals.
15 . The computer-implemented method of claim 9 , the computer-implemented method further comprising autonomously creating a new project based at least on a user-defined trigger event.
16 . The computer-implemented method of claim 9 , the computer-implemented method further comprising performing geospatial timeseries tracking of contributions and assets.
17 . A system for management and tracking of collaborative projects employing a collaborative platform, comprising one or more computers with executable instructions that, when executed, cause the system to:
track contributions of a plurality of participants of a monitored project, wherein the contributions are formatted in a time-series contributions dataset;
gather information from a plurality of sources including at least a competitor and investment insight service;
construct a knowledge graph based at least on the timeseries-based contributions dataset and the information from the plurality of sources;
determine an associated value of the monitored project by performing a plurality of graph analysis and transformations including edge analysis of the knowledge graph;
determine appropriate apportionment of remuneration based on relative contribution of the plurality of participants in the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph, and timeseries analysis on the time-series contributions dataset; and
predict costs, resources, labor requirements, and/or feasibility of the monitored project and/or one or more activities of the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph.
18 . The system of claim 17 , wherein the system is further caused to provide a user with an interface for interacting with the system.
19 . The system of claim 18 , wherein the interface is a labor board for posting and browsing resources.
20 . The system of claim 18 , wherein the interface is a massively multiplayer game, where a plurality of players is rewarded for solving in-game problems.
21 . The system of claim 18 , wherein the interface is a mixed-reality environment.
22 . The system of claim 18 , wherein the interface is a proposal board for posting proposals.
23 . The system of claim 17 , wherein the system is further caused to autonomously create a new project based at least on a user-defined trigger event.
24 . The system of claim 17 , wherein the system is further caused to perform geospatial timeseries tracking of contributions and assets.
25 . Non-transitory, computer-readable storage media having computer instructions embodied thereon that, when executed by one or more processors of a computing system employing a collaborative platform for management and tracking of collaborative projects, cause the computing system to:
track contributions of a plurality of participants of a monitored project, wherein the contributions are formatted in a time-series contributions dataset;
gather information from a plurality of sources including at least a competitor and investment insight service;
construct a knowledge graph based on the timeseries-based contributions dataset and the information from the plurality of sources;
determine an associated value of the monitored project by performing at least a plurality of graph analysis and transformations including edge analysis of the knowledge graph;
determine appropriate apportionment of remuneration based on relative contribution of the plurality of participants in the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph, and timeseries analysis on the time-series contributions dataset; and
predict costs, resources, labor requirements, and/or feasibility of the monitored project and/or one or more activities of the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph.
26 . The non-transitory, computer-readable storage media of claim 25 , wherein the computing system is further caused to provide a user with an interface for interacting with the computing system.
27 . The non-transitory, computer-readable storage media of claim 26 , wherein the interface is a labor board for posting and browsing resources.
28 . The non-transitory, computer-readable storage media of claim 26 , wherein the interface is a massively multiplayer game, where a plurality of players is rewarded for solving in-game problems.
29 . The non-transitory, computer-readable storage media of claim 26 , wherein the interface is a mixed-reality environment.
30 . The non-transitory, computer-readable storage media of claim 26 , wherein the interface is a proposal board for posting proposals.
31 . The non-transitory, computer-readable storage media of claim 25 , wherein the computing system is further caused to autonomously create a new project based at least on a user-defined trigger event.
32 . The non-transitory, computer-readable storage media of claim 25 , wherein the computing system is further caused to perform geospatial timeseries tracking of contributions and assets.