Core Concept


Modern day science has been a collective effort of different researchers and research groups. The collective intellectual power gathered by the scientific ecosystem is akin to the group intelligence (the “wisdom of crowds”) where a wise crowd is generally more intelligent compared to individual members in the group. The additional gain in intelligence is primarily dependent on the efficient flow of value (capital, information, etc.) among the members. The scientific community is still dependent on the rudimentary system for value flow, which is highly centralized, opaque, and redundant. Thereby it suffers from several problems: funding agencies are controlled by a small number of people, majority of scientists’ time is consumed by grant application writing with small success rates, a slow publication process, institutional biases, underpaid researchers, irreproducible publications, high subscription fees for journals, and a general focus on quantity of scientific publications over quality. These problems can be solved and the overall efficiency of the scientific community can be improved by creating an open and decentralized scientific ecosystem based on blockchain technology (or its variants). Open Science Organization (OSO) will be a decentralized community that will create an open and democratic self-sustaining scientific ecosystem.


IPIS

Inter Planetery Idea System (IPIS) will allow us to track the evolution of ideas over time as well as quantify the similarity of two ideas. IPIS will facilitate the efficient sharing of the ideas and prevent the community from reinventing wheels, thereby accelerating the pace of the scientific research.

Quantification of expertise

The level of expertise or e-value of an entity (general individual, researcher, research group, organization, etc.) in a research domain D will be computed using e-function.

Open and Democratic funding

In OSO funding mechanism, there will be two voting stages: 1) Direction vote: the first voting stage decides the funding distribution to different research domains and projects, 2) Matching vote: the second stage decides the matching of the funded projects to the funding applicants.

Open and Democratic Review

The review process will be open to the public. It will consist of two stages: initial review and perpetual review.

 

The team


Gajendra Jung Katuwal

Gajen J. Katuwal

Member (Vision, Research)
Scientist (Machine Learning + Blockchain), Philips Innovations Lab
PhD in Imaging Science (Machine Learning), Rochester Institute of Technology
Keith Smith

Keith Smith

Member (Developer, Research)
Solutions Architect, Cloudera
M.A. in Economics, University of Arizona
Kirk Gosik

Kirk Gosik

Member (Research)
Computational Biologist Post Doc, Broad Institute
PhD in Biostatistics (Statistical Genetics), Penn State University
Bikos

Bikrant Gautam

Member (Developer)
Front-end Developer, Corvex Connected
M.S. in Computer Science and Information Security, St. Cloud State University
Abinash Koirala

Abinash Koirala

Member (Developer)
Software Engineer, Move Inc.
M.S. in Information Technology, Rensselaer Polytechnic Institute
Robert Chen

Robert Chen

Member (Developer)
MD/PhD Candidate Georgia Tech, Emory University
B.S. Mathematics, Computer Science, Massachusetts Institute of Technology
Can Jin

Can Jin

Member (Developer)
Engineer/Scientist, Apple
PhD in Imaging Science, Rochester Institute of Technology

Contributors


Sujan Khadka
Software Engineer at Uber ATG
Kevin A Lyons
EECS @ MIT Full Stack Developer at Nodal
Enbo Zhao
PhD candidate in Material Science and Engineering, Georgia Tech (5th year)
Neha Mittoor Changappa
Entrepreneur (https://www.digitallisto.com/), Full Stack Web Developer, Blockchain Technology Enthusiast
Noman Land

FAQ


Modern day science has been a collective effort of different researchers and research groups. The collective intellectual power gathered by the scientific ecosystem is akin to the group intelligence (the “wisdom of crowds”) where a wise crowd is generally more intelligent compared to individual members in the group. The additional gain in intelligence is primarily dependent on the efficient flow of value (capital, information, etc.) among the members. The scientific community is still dependent on the rudimentary system for value flow, which is highly centralized, opaque, and redundant. Thereby it suffers from several problems like funding agencies are controlled by a small number of people, majority of scientists’ time is consumed by grant application writing with small success rates, a slow publication process, institutional biases, underpaid researchers, irreproducible publications, high subscription fees for journals, and a general focus on quantity of scientific publications over quality. These problems can be solved and the overall efficiency of the scientific community can be improved by creating an open and decentralized scientific ecosystem based on blockchain technology (or its variants). Open Science Organization (OSO) will be a decentralized community that will create an open and democratic self-sustaining scientific ecosystem.

Inter Planetery Idea System (IPIS) will allow us to track the evolution of ideas over time as well as quantify the similarity of two ideas. IPIS will facilitate the efficient sharing of the ideas and prevent the community from reinventing wheels, thereby accelerating the pace of the scientific research.

Contact us


contact@oso.network

#osoNetwork

osoNetwork

OpenScienceOrg

osoNetwork

open-science-org


WANT TO CONTRIBUTE?

Email us at contact@oso.network