EDBT 2026 Demo / reviewers in the wild / expert
Kyle Barron
dblp:86/9307
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-7476-9643ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1Theory of computation · 1 · 1 first-author
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational finance and economics · 77% Computational social science and digital humanities · 23% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 77% Human-robot interaction · 23% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational finance and economics › platform economics
sharing economy |
0.3 | 1 | 2018 | The Sharing Economy and Housing Affordability: Evidence from Airbnb · EC 2018 |
Collaborative and social computing
computer-supported cooperative work |
0.1 | 1 | 2011 | Temporal patterns of cohesiveness in virtual groups · CSCW 2011 |
Human-robot interaction
collaborative task |
0.0 | 1 | 2011 | Temporal patterns of cohesiveness in virtual groups · CSCW 2011 |
Methods — techniques the papers use, named apart from their topics
instrumental variables estimation · 0.3econometric modeling · 0.3language style matching · 0.1interaction analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | The Sharing Economy and Housing Affordability: Evidence from AirbnbabstractWe assess the impact of home-sharing on residential house prices and rents. Using a dataset of Airbnb listings from the entire United States and an instrumental variables estimation strategy, we find that a 1% increase in Airbnb listings leads to a 0.018% increase in rents and a 0.026% increase in house prices at the median owner-occupancy rate zip code. The effect is moderated by the share of owner-occupiers, a result consistent with absentee landlords reallocating their homes from the long-term rental market to the short-term rental market. A simple model rationalizes these findings. Kyle Barron, Edward Kung, Davide Proserpio |
EC | 1 |
| 2011 | Temporal patterns of cohesiveness in virtual groupsabstractGroup cohesiveness is a vital social dynamic that is difficult to achieve in virtual teams, but leadership can help groups move past these challenges. We used the Language Style Matching metric to measure group cohesiveness over the course of interaction while groups with either assigned or emerging leaders worked via online chat to complete a collaborative task. We find that overall, successful groups are more cohesive than unsuccessful groups at all times. For groups with assigned leaders, we find this same pattern of cohesiveness. For groups with emerging leaders we find that successful groups and unsuccessful groups are similar in group cohesiveness during the first two-thirds of interaction, but during the final third successful groups are more cohesive than unsuccessful groups. Victoria Schwanda Sosik, Kyle Barron, Jennifer Lien, Gretchen Schroeder, Ashley Vernon, Jeffrey T. Hancock |
CSCW | 2 |