Demo Data from VLDB 2026 / reviewers in the wild / expert
Shiri Alouf-Heffetz
dblp:324/2058
· DBLP profile ↗
6ranked-venue papers
4as first author
6since 2021 · last 2025
0000-0002-5102-2467ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 6 · 4 first-author · 6 since 2021Graphics, computer vision, multimedia, augmented reality and games · 5 · 4 first-author · 5 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
5 papers |
Algorithmic game theory and mechanism design · 84% Mathematical optimization · 12% Computational complexity · 4% | |
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Computational social science and digital humanities · 100% |
Topics — the 9 heaviest of 11, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › social choice › computational social choice
liquid democracy |
2.3 | 3 | 2025 | The Cost Perspective of Liquid Democracy: Feasibility and Control · AAAI 2025 Optimizing Viscous Democracy · IJCAI 2024 Using Liquid Democracy For Attention-Aware Social Choice · IJCAI 2023 |
Algorithmic game theory and mechanism design
social choice |
1.8 | 3 | 2023 | Using Liquid Democracy For Attention-Aware Social Choice · IJCAI 2023 Better Collective Decisions via Uncertainty Reduction · IJCAI 2022 How Should We Vote? A Comparison of Voting Systems within Social Networks · IJCAI 2022 |
Algorithmic game theory and mechanism design › social choice
computational social choice |
1.6 | 2 | 2025 | The Cost Perspective of Liquid Democracy: Feasibility and Control · AAAI 2025 Optimizing Viscous Democracy · IJCAI 2024 |
Mathematical optimization
combinatorial optimization |
0.8 | 1 | 2024 | Optimizing Viscous Democracy · IJCAI 2024 |
Algorithmic game theory and mechanism design › social choice › preference aggregation
collective decision making |
0.6 | 1 | 2022 | Better Collective Decisions via Uncertainty Reduction · IJCAI 2022 |
Mathematical optimization › constrained optimization
budget-constrained optimization |
0.3 | 1 | 2025 | The Cost Perspective of Liquid Democracy: Feasibility and Control · AAAI 2025 |
Computational social science and digital humanities
social network |
0.2 | 1 | 2022 | How Should We Vote? A Comparison of Voting Systems within Social Networks · IJCAI 2022 |
Computational complexity › decision problems
decision problem complexity |
0.2 | 1 | 2022 | Better Collective Decisions via Uncertainty Reduction · IJCAI 2022 |
Computational complexity › parameterized complexity
fixed-parameter tractability |
0.2 | 1 | 2022 | Better Collective Decisions via Uncertainty Reduction · IJCAI 2022 |
Methods — techniques the papers use, named apart from their topics
computational complexity analysis · 1.3simulation · 1.1agent-based modeling · 1.1complexity analysis · 0.9approximation algorithm · 0.9parameterized complexity · 0.6NP-hardness · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | The Cost Perspective of Liquid Democracy: Feasibility and ControlabstractWe examine an approval-based model of Liquid Democracy with a budget constraint on voting and delegating costs, aiming to centrally select casting voters ensuring complete representation of the electorate. From a computational complexity perspective, we focus on minimizing overall costs, maintaining short delegation paths, and preventing excessive concentration of voting power. Furthermore, we explore computational aspects of strategic control, specifically, whether external agents can change election components to influence the voting power of certain voters. Shiri Alouf-Heffetz, Lukasz Janeczko, Grzegorz Lisowski, Georgios Papasotiropoulos |
AAAI | 1 |
| 2025 | Query-Based Committee SelectionabstractPurpose: Multiwinner voting rules typically require full knowledge of voter preferences, which becomes impractical in large-scale or attention-limited settings. This paper investigates how accurately a winning committee can be approximated when voter preferences are elicited using a limited budget of structured queries. Methods: We introduce a query-based framework for multiwinner elections in which voter preferences are elicited through refinement queries over subsets of candidates under a limited budget. We analyse several cost functions that model the cognitive effort needed to answer such queries, propose axiomatic properties for evaluating them, and experimentally evaluate simple query-based committee selection rules across multiple election models. Results: Experimental results show that strategies based on recursively splitting candidate sets provide the best trade-off between elicitation cost and committee accuracy. Across several statistical models, these strategies approximate the outcome of k-Borda elections significantly more efficiently than alternative query types. Conclusion: The results demonstrate that well-designed query strategies can substantially reduce the amount of preference information required while still producing high-quality committee outcomes, suggesting that query-based elicitation is a promising approach for scalable multiwinner decision-making. Itay Asher Zimet, Shiri Alouf-Heffetz, Nimrod Talmon |
EUMAS (1) | 2 |
| 2024 | Optimizing Viscous Democracy
Ben Armstrong, Shiri Alouf-Heffetz, Nimrod Talmon |
IJCAI | 2 |
| 2023 | Using Liquid Democracy For Attention-Aware Social ChoiceabstractMy PhD research deals with the use of Liquid Democracy (LD) for social choice scenarios, while considering the scarcity of attention as a driving factor. My aim is to better understand LD: theoretically as well as practically; in particular, by establishing containment in certain computational classes for corresponding combinatorial problems, suggesting methods to improve the use of LD, and understand its adaptation to specific scenarios. Concretely, I consider the use of LD as a solution for the problem of low voter attention in light of the high cognitive effort needed by voters to actively participate in voting processes. Shiri Alouf-Heffetz |
IJCAI | 1 |
| 2022 | How Should We Vote? A Comparison of Voting Systems within Social NetworksabstractVoting is a crucial methodology for eliciting and combining agents' preferences and information across many applications. Just as there are numerous voting rules exhibiting different properties, we also see many different voting systems. In this paper we investigate how different voting systems perform as a function of the characteristics of the underlying voting population and social network. In particular, we compare direct democracy, liquid democracy, and sortition in a ground truth voting context. Through simulations -- using both real and artificially generated social networks -- we illustrate how voter competency distributions and levels of direct participation affect group accuracy differently in each voting mechanism. Our results can be used to guide the selection of a suitable voting system based on the characteristics of a particular voting setting. Shiri Alouf-Heffetz, Ben Armstrong, Kate Larson, Nimrod Talmon |
IJCAI | 1 |
| 2022 | Better Collective Decisions via Uncertainty ReductionabstractWe consider an agent community wishing to decide on several binary issues by means of issue-by-issue majority voting. For each issue and each agent, one of the two options is better than the other. However, some of the agents may be confused about some of the issues, in which case they may vote for the option that is objectively worse for them. A benevolent external party wants to help the agents to make better decisions, i.e., select the majority-preferred option for as many issues as possible. This party may have one of the following tools at its disposal: (1) educating some of the agents, so as to enable them to vote correctly on all issues, (2) appointing a subset of highly competent agents to make decisions on behalf of the entire group, or (3) guiding the agents on how to delegate their votes to other agents, in a way that is consistent with the agents' opinions. For each of these tools, we study the complexity of the decision problem faced by this external party, obtaining both NP-hardness results and fixed-parameter tractability results. Shiri Alouf-Heffetz, Laurent Bulteau, Edith Elkind, Nimrod Talmon, Nicholas Teh |
IJCAI | 1 |