Demo Data from SIGIR 2026 / reviewers in the wild / expert
Alison Mohr
dblp:37/10641
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-9297-6021ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Energy systems and smart grids · 77% Computational social science and digital humanities · 23% | |
| Human-computer interaction and pervasive computing
1 paper |
Design research and methods · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy systems and smart grids
energy access |
0.4 | 1 | 2019 | The Service Value Method for Design of Energy Access Systems in the Global South · Proc. IEEE 2019 |
Design research and methods
user-centered design |
0.1 | 1 | 2019 | The Service Value Method for Design of Energy Access Systems in the Global South · Proc. IEEE 2019 |
Methods — techniques the papers use, named apart from their topics
service value method · 0.8service mapping · 0.8focus groups · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | The Service Value Method for Design of Energy Access Systems in the Global SouthabstractThis paper presents the service value method (SVM) as a novel means to gather and interpret end-user needs, aspirations, and contextual factors to improve engineering design practice of energy access systems for the Global South. The method adopts a service-oriented approach and consists of a rapid and effective field exercise to gather qualitative and quantitative data from end users in focus groups. This exercise is suitable for enabling end-user participation in Global South contexts. The data are interpreted as service maps that capture end-user preferences to inform tradeoffs of different design criteria, guiding the preliminary design of the energy system. The method ensures end-user needs and contexts are integrated into the design process early on. A case study is presented, where the SVM was used to design solar nanogrids in Kenya and Bangladesh. Anna Clements, Scot Wheeler, Alison Mohr, Malcolm McCulloch |
Proc. IEEE | 3 |