ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System

01/25/2023
by   Debayan Banerjee, et al.
0

In this work, we present ARDIAS, a web-based application that aims to provide researchers with a full suite of discovery and collaboration tools. ARDIAS currently allows searching for authors and articles by name and gaining insights into the research topics of a particular researcher. With the aid of AI-based tools, ARDIAS aims to recommend potential collaborators and topics to researchers. In the near future, we aim to add tools that allow researchers to communicate with each other and start new projects.

READ FULL TEXT
research
07/29/2021

Design-Driven Requirements for Computationally Co-Creative Game AI Design Tools

Game AI designers must manage complex interactions between the AI charac...
research
06/06/2022

Researching Alignment Research: Unsupervised Analysis

AI alignment research is the field of study dedicated to ensuring that a...
research
03/27/2017

Discovering Scholarly Orphans Using ORCID

Archival efforts such as (C)LOCKSS and Portico are in place to ensure th...
research
10/08/2020

Topic Diffusion Discovery Based on Deep Non-negative Autoencoder

Researchers have been overwhelmed by the explosion of research articles ...
research
08/29/2020

Characterizing Automated Data Insights

Many researchers have explored tools that aim to recommend data insights...
research
08/18/2023

Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming

In recent years, the fields of artificial intelligence and web-based pro...
research
11/27/2020

MITAO: a tool for enabling scholars in the Humanities to use Topic Modelling in their studies

Automatic text analysis methods, such as Topic Modelling, are gaining mu...

Please sign up or login with your details

Forgot password? Click here to reset