Demo Data from SIGIR 2026 / reviewers in the wild / expert
Divya Singhvi
dblp:186/6727
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2025
0000-0001-8763-015XORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 1 first-author · 3 since 2021Theory of computation · 3 · 1 first-author · 3 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.
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% | |
| Artificial intelligence
1 paper |
Learning theory · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Health and well-being technologies · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning theory
online learning |
0.9 | 1 | 2025 | Online Learning for Repeated Nudging · EC 2025 |
Algorithmic game theory and mechanism design
market design |
0.9 | 1 | 2025 | Design of Resale Platforms · EC 2025 |
Algorithmic game theory and mechanism design › market design
online marketplaces |
0.9 | 1 | 2025 | Design of Resale Platforms · EC 2025 |
Computational social science and digital humanities
supply chain management |
0.8 | 1 | 2024 | A Data-driven Approach to Improve Artisans' Productivity in Distributed Supply Chains · EC 2024 |
Health and well-being technologies
behavior change |
0.3 | 1 | 2025 | Online Learning for Repeated Nudging · EC 2025 |
Algorithmic game theory and mechanism design
mechanism design |
0.3 | 1 | 2025 | Design of Resale Platforms · EC 2025 |
Methods — techniques the papers use, named apart from their topics
online learning · 1.7exploration-exploitation · 1.7game-theoretic modeling · 0.9data-driven analysis · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Online Learning for Repeated NudgingabstractBackground and motivation. Online platforms frequently deploy nudges—short prompts or design elements intended to influence user behavior—in a wide range of contexts, from increasing engagement with digital products to encouraging healthier choices. Despite their widespread use, key challenges remain in optimizing nudges over time, particularly when users' responsiveness is unknown and repeated exposure to the same nudge leads to diminishing returns. This work introduces a novel framework to address these challenges, focusing on the interplay between unknown user responses, the cost of generating or refreshing nudges, and fatigue effects from repeated exposure to the same prompt. Anand Kalvit, Divya Singhvi |
EC | 2 |
| 2025 | Design of Resale PlatformsabstractWe study resale platforms, an emerging type of online marketplaces in developing countries. Resale platforms are designed for individuals (resellers) to sell products to others as opposed to buying for themselves, enabling them to supplement their income by earning a margin on the transactions they generate. One challenge these platforms face is that competition among resellers may emerge as more of them join the platform, as their social circles increasingly overlap. Ilan Morgenstern, Daniela Sabán, Divya Singhvi, Somya Singhvi |
EC | 3 |
| 2024 | A Data-driven Approach to Improve Artisans' Productivity in Distributed Supply ChainsabstractArtisanal supply chains play a significant role in the economy and social sustainability of many developing countries. The total value of the global artisanal and handicrafts market was $526 Billion (USD) in 2017 and is expected to reach $984 Billion (USD) by 2023 [NEST, 2018]. The sector is also the second biggest source of employment for rural women, especially for those from the under-privileged class. Unfortunately, while the artisan sector plays a crucial role, many workers in this sector struggle with low productivity and poverty, in part due to the highly distributed nature of the supply chain [Banik, 2017]. A significant fraction of artisanal production in developing countries is still conducted by artisans from their individual households that are dispersed across large geographical areas, thus posing numerous challenges including low productivity, limited access to financing, technology and quality control in the upstream of such supply chains. Divya Singhvi, Somya Singhvi |
EC | 1 |