Science Bots: A Model for the Future of Scientific Computation?

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

As a response to the trends of the increasing importance of computational approaches and the accelerating pace in science, I propose in this position paper to establish the concept of "science bots" that autonomously perform programmed tasks on input data they encounter and immediately publish the results. We can let such bots participate in a reputation system together with human users, meaning that bots and humans get positive or negative feedback by other participants. Positive reputation given to these bots would also shine on their owners, motivating them to contribute to this system, while negative reputation will allow us to filter out low-quality data, which is inevitable in an open and decentralized system.
Original languageEnglish
Title of host publicationWWW 2015 Companion Proceedings
DOIs
Publication statusPublished - 15 Mar 2015
Event24th International Conference on World Wide Web, WWW 2015 - Florence, Italy
Duration: 18 May 201522 May 2015

Conference

Conference24th International Conference on World Wide Web, WWW 2015
CountryItaly
CityFlorence
Period18/05/1522/05/15

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reputation
science
data quality
trend

Cite this

@inproceedings{d4fd1756f1014cdbaf72fbb6dbe24f95,
title = "Science Bots: A Model for the Future of Scientific Computation?",
abstract = "As a response to the trends of the increasing importance of computational approaches and the accelerating pace in science, I propose in this position paper to establish the concept of {"}science bots{"} that autonomously perform programmed tasks on input data they encounter and immediately publish the results. We can let such bots participate in a reputation system together with human users, meaning that bots and humans get positive or negative feedback by other participants. Positive reputation given to these bots would also shine on their owners, motivating them to contribute to this system, while negative reputation will allow us to filter out low-quality data, which is inevitable in an open and decentralized system.",
author = "T. Kuhn",
year = "2015",
month = "3",
day = "15",
doi = "10.1145/2740908.2742014",
language = "English",
booktitle = "WWW 2015 Companion Proceedings",

}

Kuhn, T 2015, Science Bots: A Model for the Future of Scientific Computation? in WWW 2015 Companion Proceedings. 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, 18/05/15. https://doi.org/10.1145/2740908.2742014

Science Bots: A Model for the Future of Scientific Computation? / Kuhn, T.

WWW 2015 Companion Proceedings. 2015.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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N2 - As a response to the trends of the increasing importance of computational approaches and the accelerating pace in science, I propose in this position paper to establish the concept of "science bots" that autonomously perform programmed tasks on input data they encounter and immediately publish the results. We can let such bots participate in a reputation system together with human users, meaning that bots and humans get positive or negative feedback by other participants. Positive reputation given to these bots would also shine on their owners, motivating them to contribute to this system, while negative reputation will allow us to filter out low-quality data, which is inevitable in an open and decentralized system.

AB - As a response to the trends of the increasing importance of computational approaches and the accelerating pace in science, I propose in this position paper to establish the concept of "science bots" that autonomously perform programmed tasks on input data they encounter and immediately publish the results. We can let such bots participate in a reputation system together with human users, meaning that bots and humans get positive or negative feedback by other participants. Positive reputation given to these bots would also shine on their owners, motivating them to contribute to this system, while negative reputation will allow us to filter out low-quality data, which is inevitable in an open and decentralized system.

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DO - 10.1145/2740908.2742014

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BT - WWW 2015 Companion Proceedings

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