Welcome to COVALENCEThe Global Academic Society
'If I have seen further, it is by standing on the shoulders of giants.'- Sir Isaac Newton, 1675 [1642 - 1727]
We develop tools that help researchers thrive.
The research industry faces various challenges that can impede research efforts. One such obstacle is securing funding due to high costs and prolonged durations. Additionally, finding competent and dedicated researchers can be challenging, given the specialized expertise required. Ensuring research accuracy and ethical considerations also pose significant difficulties, with factors like data bias and participant privacy concerns to navigate.Covalence provides tools and services for independent researchers to conduct studies using the latest technology in one place, with an elevated review system and integrated workflows for both institutional and solo work.
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Follow in eachother's footsteps.
Let your academic journey inspire and empower others to create a brighter future for humanity. Open up new frontiers of exploration and innovation by sharing, storing, and nurturing your neural pathways during research, enabling yourself and fellow humans to navigate information with greater precision and discover uncharted territories with the help of machine learning.
Navigate the vector space with ease.
Build stronger connections with both general information and people by finding patterns and strengthening bonds. Data science can be made easier and more flexible with our tools, which aim to facilitate both individual and collaborative learning.
Learn with freedomOpen access to academic information. We value the information you add back to the system.learn more here
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Public Timeline
SHORT TERM GOALS
  • Split into research teams
    • [1.] - Business, Finance & Marketing (BFM): Organisational Structure & Economic Rewards of Academia;
    • [2.] - Biology & Human Anatomy (BHA): Physiology of Learning & Developing;
    • [3.] - Cognitive Neuropsychology (CNP): Psychology of Learning & Developing
    • [4.] - Computer Science (CS): Digitalisation of Learning & Developing
  • Conduct research
    • [1.] - BFM: Anthropology, Economics, and Sociology;
    • [2.] - BHA: Biochemistry and Neuroscience;
    • [3.] - CNP: Neuroscience and Psychology;
    • [4.] - CS: Computer Science, Cryptography, and Software Engineering
  • Build internal tools
    • [1.] - HOST LATEX EDITOR:
    • [1.1.] - Write and compile PDF documents,
    • [1.2.] - Host grammarly API to ensure high quality writing;
    • [2.] - HOST MULTIMODAL AIs (i.e., LLM, Computer Vision, text-image, text to video):
    • [2.1.] - Description & categorisation of data
    • [2.2.] - Generation of metadata
    • [2.3.] - Change writing style based on a user
    • [3.] - HOST AN INTEGRATED DEVELOPMENT ENVIRONMENT (IDE):
    • [3.1.] - Develop simulations and run code
    • [4.] - DEVELOP STEPS:
    • [4.1.] - Enable tracking and replicating of work and findings
    • [4.2.] - Tool to perform data science (analysis, visualisation, )
    • [5.] - PUBLISHING:
    • [5.1.] - Create sets of rules/guidelines to create baseline content (i.e., for creator-specific user-profile: e.g., doctorate, master, bachelor)
    • [5.2.] - Employ Footsteps to track progress and generate rewards (individual economic value)
    • [6.] - REVIEWING:
    • [6.1.] - Create sets of rules to validate and certify publications (i.e., for viewer-specific user-profile: e.g., doctorate, master, bachelor)
    • [6.2.] - Employ Footsteps to track progress and generate rewards (individual economic value)
    • [7.] - LEARNING & DEVELOPING (∀ ages and expertises. Learners & developers ⊃ researchers, students, etc.):
    • [7.1.] - Employ the generative AIs to create non-baseline content/tailored data (i.e., papers, slideshows, videos, and transcriptions)
    • [7.2.] - Employ Footsteps to enable tracking and/or replicating of scientific work and/or findings
    • [7.3.] - Employ IDE for application of learned material
    • [7.4.] - Employ Footsteps to track progress and generate rewards (individual economic value).
  • Create a transparent research environment
    • [1.] - Society (Incentivise Using Learning & Development):
    • [1.1.] - Develop an economic system based on [1.1.1.] - Learn&Develop-to-earn as a society rather than the common play-to-earn as an individual
    • [1.1.1.] - Transparency as a key aspect of earning
    • [2.] - The Publishing Industry (Keeping Science Behind a Paywall for All the Right Reasons):
    • [2.1.] - Track progress from planning to initiating research to publication to reviewing (i.e., Footsteps)
    • [2.1.1.] - Increase the transparency of science,
    • [2.1.2.] - The reviewers can more easily inspect and review research,
    • [2.1.3.] - Help the publishers pursue more diverse research and approaches + the pursuit of reproducibility and replicability,
    • [2.1.4.] - Encourage and help the academic community to learn and develop,
    • [2.2.] - Track progress of learning and developing
    • [2.2.1.] - Royalties for intellectual property rights through accessing and citing of material (manuscript, page, paragraph, etc.);
    • [3.] - The Reviewing Industry (Incentivising & Optimally Rewarding Academics for Imperative Tasks):
    • [3.1.] - Track progress from initiating research to publication of review (i.e., Footsteps)
    • [3.1.1.] - Increase the transparency of science,
    • [3.1.2.] - The reviewing industry inspect and review,
    • [3.1.3.] - The academic community learn and develop,
    • [3.2.] - Track progress of learning and developing
    • [3.2.1.] - Royalties for intellectual property rights through accessing and citing of validated reviews (manuscript, page, paragraph, etc.)
    • [4.] - Self-funding Academics/Researchers/Learners/Developers:
    • [4.1.] - Learn&Develop-to-earn (cryptocurrency);
    • [5.] - The Academic Industry (Easy to Access & Easy to Teach):
    • [5.1.] - Open access material + open access & open source tools,
    • [5.2.] - Customised UI/UX through statistical learning methods allow optimal learning for individuals.
  • Reach out to researchers/professors
    • [6.]Reach out to researchers/professors (BEING DOCUMENTED)
  • Long Term Goals
    • [7.1] - Collaborate with researchers/professors to validate our research
    • [7.2] - Create a public beta program to build higher level system architecture
    • [7.3] - Provide software that helps people navigate information intuitively using human intuition and guided by mathematics

Disclaimer!

Covalence research platform is in internal early access development stage.Read more here >>