activity
20232026
most citedImproving City Life via Legitimate and Participatory Policy-making: A Data-driven Approach in Switzerland

6 citations · 14 across the 12 of their papers we have counts for

collaborators

13 papers

cs.MA2026

Argonaut: Interactive Visual Exploration for Distributed Optimization

Srijoni Majumdar, Chuhao Qin, Evangelos Pournaras

Distributed discrete-choice optimization in decentralized settings is often hard to explore and navigate: disentangling what other agents choose, how their choices are interdepende…

cs.CY2026

Democracy in the Era of Artificial Intelligence

Evangelos Pournaras, Srijoni Majumdar, Carina Hausladen +1

Interfacing Artificial Intelligence (AI) with democracy is one of the most profound challenges of our times. On the one hand, AI comes with opportunities to overcome long-standing…

cs.SE2025

Leveraging Design-Aware Context in Large Language Models for Code Comment Generation

Aritra Mitra, Srijoni Majumdar, Anamitra Mukhopadhyay +3

Comments are very useful to the flow of code development. With the increasing commonality of code, novice coders have been creating a significant amount of codebases. Due to lack o…

cs.SI2025

Collective Intelligence Outperforms Individual Talent: A Case Study in League of Legends

Angelo Josey Caldeira, Sajan Maharjan, Srijoni Majumdar +1

Gaming environments are popular testbeds for studying human interactions and behaviors in complex artificial intelligence systems. Particularly, in multiplayer online battle arena…

cs.CY2025

Upgrading Democracies with Fairer Voting Methods

Evangelos Pournaras, Srijoni Majumdar, Thomas Wellings +4

Voting methods are instrumental design elements of democracies. Citizens use them to express and aggregate their preferences to reach a collective decision. However, voting outcome…

cs.AI2024★ 1 cited

Generative AI voting: fair collective choice is resilient to LLM biases and inconsistencies

Srijoni Majumdar, Edith Elkind, Evangelos Pournaras

Recent breakthroughs in generative artificial intelligence (AI) and large language models (LLMs) unravel new capabilities for AI personal assistants to overcome cognitive bandwidth…

cs.MA2024

Fair Voting Outcomes with Impact and Novelty Compromises? Unraveling Biases in Electing Participatory Budgeting Winners

Sajan Maharjan, Srijoni Majumdar, Evangelos Pournaras

Participatory budgeting, as a paradigm for democratic innovations, engages citizens in the distribution of a public budget to projects, which they propose and vote for implementati…

cs.CR2024

Send Message to the Future? Blockchain-based Time Machines for Decentralized Reveal of Locked Information

Zhuolun Li, Srijoni Majumdar, Evangelos Pournaras

Conditional information reveal systems automate the release of information upon meeting specific predefined conditions, such as time or location. This paper introduces a breakthrou…

cs.SE2023★ 5 cited

Generative AI for Software Metadata: Overview of the Information Retrieval in Software Engineering Track at FIRE 2023

Srijoni Majumdar, Soumen Paul, Debjyoti Paul +5

The Information Retrieval in Software Engineering (IRSE) track aims to develop solutions for automated evaluation of code comments in a machine learning framework based on human an…

cs.SE2023

Smart Knowledge Transfer using Google-like Search

Srijoni Majumdar, Partha Pratim Das

To address the issue of rising software maintenance cost due to program comprehension challenges, we propose SMARTKT (Smart Knowledge Transfer), a search framework, which extracts…

cs.MA2023★ 2 cited

Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning

Srijoni Majumdar, Evangelos Pournaras

The legitimacy of bottom-up democratic processes for the distribution of public funds by policy-makers is challenging and complex. Participatory budgeting is such a process, where…

cs.CY2023★ 6 cited

Improving City Life via Legitimate and Participatory Policy-making: A Data-driven Approach in Switzerland

Thomas Wellings, Srijoni Majumdar, Regula Hänggli Fricker +1

This paper introduces a novel data-driven approach to address challenges faced by city policymakers concerning the distribution of public funds. Providing budgeting processes for i…

cs.DC2023

Discrete-choice Multi-agent Optimization: Decentralized Hard Constraint Satisfaction for Smart Cities

Srijoni Majumdar, Chuhao Qin, Evangelos Pournaras

Making Smart Cities more sustainable, resilient and democratic is emerging as an endeavor of satisfying hard constraints, for instance meeting net-zero targets. Decentralized multi…