Demo Data from EDBT 2026 / reviewers in the wild / expert
Héctor Ochoa-Ortiz
dblp:359/7078
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-6477-0683ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
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 · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Smart cities and intelligent transportation · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing
collective intelligence |
0.9 | 1 | 2025 | Collective Intelligence in Humanitarian Voluntary Geographic Information: The Case of the HOT Tasking Manager · ACM Trans. Comput. Hum. Interact. 2025 |
Collaborative and social computing
crowdsourcing |
0.9 | 1 | 2025 | Collective Intelligence in Humanitarian Voluntary Geographic Information: The Case of the HOT Tasking Manager · ACM Trans. Comput. Hum. Interact. 2025 |
Collaborative and social computing › crowdsourcing › location-based crowdsourcing
humanitarian mapping |
0.9 | 1 | 2025 | Collective Intelligence in Humanitarian Voluntary Geographic Information: The Case of the HOT Tasking Manager · ACM Trans. Comput. Hum. Interact. 2025 |
Collaborative and social computing › crowdsourcing
volunteered geographic information |
0.9 | 1 | 2025 | Collective Intelligence in Humanitarian Voluntary Geographic Information: The Case of the HOT Tasking Manager · ACM Trans. Comput. Hum. Interact. 2025 |
Smart cities and intelligent transportation › disaster management
disaster response |
0.3 | 1 | 2025 | Collective Intelligence in Humanitarian Voluntary Geographic Information: The Case of the HOT Tasking Manager · ACM Trans. Comput. Hum. Interact. 2025 |
Methods — techniques the papers use, named apart from their topics
process mining · 1.7inferential statistics · 1.7descriptive statistics · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Collective Intelligence in Humanitarian Voluntary Geographic Information: The Case of the HOT Tasking ManagerabstractVoluntary Geographic Information initiatives are transforming the disaster response landscape. Our research provides insights into how the concept of collective intelligence is accomplished in humanitarian mapping initiatives. The main source originates from the data obtained in 746 mapping projects organised by the Humanitarian OpenStreetMap Team between December 2021 and November 2023, where 38,893 contributors completed 312,289 mapping tasks. These data include detailed attributes of the contributors and the states the tasks go through. The methodology adopts a quantitative approach, including descriptive and inferential statistics, and standard process mining techniques. Our results indicate that, in general terms, in humanitarian mapping, a group of contributors from outside the area of interest perform straightforward mapping tasks with limited collaboration among them. The ‘wisdom’ of advanced contributors is the cornerstone that sustains the system. The discussion section elaborates on (1) how these findings suggest that humanitarian mapping projects effectively meet their short-term mapping objectives but fall short if more sustainable mapping objectives are sought and (2) possible strategies for better harnessing the collective intelligence of these efforts. Dagoberto Herrera-Murillo, Héctor Ochoa-Ortiz, Francisco J. López-Pellicer, Barbara Re 0001, Andrea Polini, Javier Nogueras-Iso |
ACM Trans. Comput. Hum. Interact. | 2 |