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Somya Singhvi

dblp:186/6804 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0003-3999-7189ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 since 2021Theory of computation · 2 · 2 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%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design
market design
0.912025
Design of Resale Platforms · EC 2025
Algorithmic game theory and mechanism design › market design
online marketplaces
0.912025
Design of Resale Platforms · EC 2025
Computational social science and digital humanities
supply chain management
0.812024
A Data-driven Approach to Improve Artisans' Productivity in Distributed Supply Chains · EC 2024
Algorithmic game theory and mechanism design
mechanism design
0.312025
Design of Resale Platforms · EC 2025

Methods — techniques the papers use, named apart from their topics

game-theoretic modeling · 0.9data-driven analysis · 0.8
YearPublicationVenuePosition
2025 Design of Resale Platforms
abstract
We 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
EC4
2024 A Data-driven Approach to Improve Artisans' Productivity in Distributed Supply Chains
abstract
Artisanal 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
EC2