EDBT 2026 Demo / reviewers in the wild / expert
Leesha Maliakal
dblp:194/9658 · also Leesha Maliakal Shah
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0003-3526-9395ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 77% Learning and educational technologies · 23% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computing education · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computing education
undergraduate research experiences |
0.3 | 1 | 2017 | Agile Research Studios: Orchestrating Communities of Practice to Advance Research Training · CSCW 2017 |
Collaborative and social computing › online communities
communities of practice |
0.3 | 1 | 2017 | Agile Research Studios: Orchestrating Communities of Practice to Advance Research Training · CSCW 2017 |
Methods — techniques the papers use, named apart from their topics
pilot study · 0.6design-based research · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Agile Research Studios: Orchestrating Communities of Practice to Advance Research TrainingabstractUndergraduate research experiences enhance learning and professional development, but providing effective and scalable research training is often limited by practical implementation and orchestration challenges. This paper introduces Agile Research Studios (ARS)--a socio-technical system that expands research training opportunities by supporting research communities of practice without increasing faculty mentoring resources. ARS integrates and advances professional best practices and organizational designs, principles for forming effective learning communities, and design of social technologies to overcome the orchestration challenge of one faculty researcher mentoring 20 or more students. We present the results of a two-year pilot of the Design, Technology, and Research (DTR) program, which used the ARS model to improve the quality of learning, produce research outcomes, and lower the barrier to participation while increasing the number of students who receive authentic research training. Matthew W. Easterday, Elizabeth Gerber, Daniel Rees Lewis, Leesha Maliakal |
CSCW | 5 |