WikiSilo: A Self-organizing, Crowd Sourcing System for Interdisciplinary Science

نویسندگان

  • David Pierre Leibovitz
  • Robert L. West
  • Mike Belanger
چکیده

WikiSilo is a tool for theorizing across interdisciplinary fields such as Cognitive Science using a specific vocabulary and structure. It is designed to show if a particular cognitive theory is complete and coherent at multiple levels of discourse, and commensurable with and relevant to a wider domain of cognition. WikiSilo is also a minimalist theory and methodology about effectively doing science, and is therefore a form of epistemizing. WikiSilo theory provides for a disciplined exploration of explanatory space via an axiomatic hierarchy of epistemizing and ontologizing postulates. The WikiSilo tool, via a software version control system, supports the long term goal of working toward coherent and unified theories. More generally, WikiSilo facilitates self-organization leading to academic silos with well-defined conceptual frameworks that are vertically related as compared to poorly related ad-hoc academic fiefdoms.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using Expertise for Crowd-Sourcing

In this paper, we examine whether the use of expertise ratings can help crowd-sourcing systems. We show, using simulations, that a crowd-sourcing system based in social navigation works better when users’ expertise levels are taken into account.

متن کامل

Putting Ubiquitous Crowd - Sourcing into Context 18 - 09 - 2012 Afra Mashhadi Giovanni Quattrone

Ubiquitous crowd-sourcing has become a popular mechanism to harvest knowledge from the masses. OpenStreetMap (OSM) is a successful example of ubiquitous crowd-sourcing, where citizens volunteer geographic information in order to build and maintain an accurate map of the changing world. Research has shown that OSM information is accurate, by comparing it with centrally maintained spatial informa...

متن کامل

Heterogeneous Crowd-sourcing and Data Fusion Model for Disaster Management Services

In the present study of heterogeneous crowd sourcing is a novel field which shall bring marked improvement in the field of decision support system. At this point of time, the world is evolving technologically and thus we have started emphasizing on human brains as a specific physical sensors as far sensing capabilities are concerned. There are many human beings who are actually Subject Matters ...

متن کامل

A Tale of Two Crowds: Public Engagement in Plankton Classification

“Big data” are becoming common in biological oceanography with the advent of sampling technologies that can generate multiple, high-frequency data streams. Given the need for “big” data in ocean health assessments and ecosystem management, identifying and implementing robust, and efficient processing approaches is a challenge for marine scientists. Using a large plankton imagery data set, we pr...

متن کامل

For a fistful of dollars: using crowd-sourcing to evaluate a spoken language CALL application

We present an evaluation of a Web-deployed spoken language CALL system, carried out using crowd-sourcing methods. The system, “Survival Japanese”, is a crash course in tourist Japanese implemented within the platform CALL-SLT. The evaluation was carried out over one week using the Amazon Mechanical Turk. Although we found a high proportion of attempted scammers, there was a core of 23 subjects ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014