Simona Doboli
Biographic Data
| ID | 9645846 |
|---|---|
| NAME | Simona Doboli |
| GIVEN NAMES | Simona |
| FAMILY NAME | Doboli |
| SIGNATURE | DOBOLI S |
| AFFILIATIONS | Hofstra University |
| ORCID | 0000-0003-0158-4725 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Understanding the Significance of Mid-Tier Research Teams in Idea Flow Through a Community
Studying the dynamics of research communities has been an important yet tedious topic. It is important for devising management policies that optimize the quality of research outputs by promoting a certain composition, structure, and interaction patterns for a community. While there has been significant attention to understanding the roles of individuals, there has been less focus on studying the roles that research groups perform and how roles re…
Toward the Development of a Computer-Assisted, Real-Time Assessment of Ideational Dynamics in Collaborative Creative Groups
We present the results of an ongoing collaboration between computer science and psychology researchers that employs Natural Language Processing (NLP) methods to examine the trajectory of semantic space used during group idea generation sessions. Specifically, we track and estimate the region of semantic space being used and the degree to which new ideas expand that space. We present a visualization of this space mapping endeavor and compare human…
Bottom–Up Modeling of Design Knowledge Evolution: Application to Circuit Design Community Characterization
Group learning offers novel yet intriguing opportunities to improve a community's effectiveness by obtaining insight into the emergence of new design problems and concepts. This article proposes a new computational model and the related algorithmic methods to characterize circuit design communities over time. The bottom-up model explains knowledge evolution using two operators, combination/improvement for knowledge expansion, and blocking for con…
No prominent works on this page.
Bottom–Up Modeling of Design Knowledge Evolution: Application to Circuit Design Community Characterization
Group learning offers novel yet intriguing opportunities to improve a community's effectiveness by obtaining insight into the emergence of new design problems and concepts. This article proposes a new computational model and the related algorithmic methods to characterize circuit design communities over time. The bottom-up model explains knowledge evolution using two operators, combination/improvement for knowledge expansion, and blocking for con…
Understanding the Significance of Mid-Tier Research Teams in Idea Flow Through a Community
Studying the dynamics of research communities has been an important yet tedious topic. It is important for devising management policies that optimize the quality of research outputs by promoting a certain composition, structure, and interaction patterns for a community. While there has been significant attention to understanding the roles of individuals, there has been less focus on studying the roles that research groups perform and how roles re…
Toward the Development of a Computer-Assisted, Real-Time Assessment of Ideational Dynamics in Collaborative Creative Groups
We present the results of an ongoing collaboration between computer science and psychology researchers that employs Natural Language Processing (NLP) methods to examine the trajectory of semantic space used during group idea generation sessions. Specifically, we track and estimate the region of semantic space being used and the degree to which new ideas expand that space. We present a visualization of this space mapping endeavor and compare human…
Computer Science (3 works) · Engineering (2 works) · Artificial Intelligence (1 works) · Business (1 works) · Capacitor (1 works) · Circuit design (1 works) · CMOS (1 works) · Cognitive science (1 works) · Cognitive Science and Education Research (1 works) · Cognitive Science and Mapping (1 works)