| RNA design rules from a massive open laboratory J Lee, W Kladwang, M Lee, D Cantu, M Azizyan, H Kim, A Limpaecher, ... Proceedings of the National Academy of Sciences 111 (6), 2122-2127, 2014 | 366 | 2014 |
| A voting-based system for ethical decision making R Noothigattu, SN Gaikwad, E Awad, S Dsouza, I Rahwan, P Ravikumar, ... Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 227 | 2018 |
| VizNet: Towards a large-scale visualization learning and benchmarking repository K Hu, SNS Gaikwad, M Hulsebos, MA Bakker, E Zgraggen, C Hidalgo, ... Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019 | 110 | 2019 |
| Daemo: A self-governed crowdsourcing marketplace SN Gaikwad, D Morina, R Nistala, M Agarwal, A Cossette, R Bhanu Adjunct Proceedings of the 28th Annual ACM Symposium on User Interface …, 0 | 75* | |
| Crowd guilds: Worker-led reputation and feedback on crowdsourcing platforms ME Whiting, D Gamage, SNS Gaikwad, A Gilbee, S Goyal, A Ballav, ... Proceedings of the 2017 acm conference on computer supported cooperative …, 2017 | 59 | 2017 |
| Boomerang: Rebounding the consequences of reputation feedback on crowdsourcing platforms SNS Gaikwad, D Morina, A Ginzberg, C Mullings, S Goyal, D Gamage, ... Proceedings of the 29th Annual Symposium on User Interface Software and …, 2016 | 45 | 2016 |
| Crowd research: Open and scalable university laboratories R Vaish, SNS Gaikwad, G Kovacs, A Veit, R Krishna, I Arrieta Ibarra, ... 🏆 Proceedings of the 30th Annual ACM UIST (Honorable Mentions Award), 829-843, 2017 | 38 | 2017 |
| Gobo: A System for Exploring User Control of Invisible Algorithms in Social Media R Bhargava, A Chung, NS Gaikwad, A Hope, D Jen, J Rubinovitz, ... | 33 | 2019 |
| The daemo crowdsourcing marketplace SNS Gaikwad, ME Whiting, D Gamage, CA Mullings, D Majeti, S Goyal, ... Companion of the 2017 ACM conference on computer supported cooperative work …, 2017 | 21 | 2017 |
| Prototype tasks: improving crowdsourcing results through rapid, iterative task design S Gaikwad, N Chhibber, V Sehgal, A Ballav, C Mullings, A Nasser, ... arXiv preprint arXiv:1707.05645, 2017 | 10 | 2017 |
| Beyond Boundaries: Towards Symbiotic Relationship Between Ecological Arts and Computational Thinking for Sustainability SNS Gaikwad Companion Publication of the 2020 Conference on Computer Supported …, 2020 | 5 | 2020 |
| Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning N Gaikwad, S Iyer, D Lunga, E Bondi In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and …, 2021 | 2 | 2021 |
| Data-Driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability SN Gaikwad, S Iyer, D Lunga, T Yabe, X Liang, B Ananthabhotla, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 1 | 2022 |
| Algorithmic Alignment: Value-Sensitive Designs of Human-AI Collaboration for Global Social Inclusion N Gaikwad Annual Ethical AI Symposium, University of Michigan Institute for Data …, 2024 | | 2024 |
| Value Sensitive Design of Ethically Responsible Human-AI Systems for Sustainable Food Supply N Gaikwad National Science Foundation Workshop on Sustainable Computing for …, 2024 | | 2024 |
| Public Interest Computing: a Pluralistic Design Language Foundation for Societal-Machine Alignment SNS Gaikwad Massachusetts Institute of Technology, 2024 | | 2024 |
| Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning N Gaikwad, S Iyer, D Lunga, E Bondi arXiv:2109.00100, 2021 | | 2021 |
| Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning N Gaikwad, S Iyer, D Lunga, YR Lin https://arxiv.org/abs/2109.00435, 2020 | | 2020 |
| Designing a constitution for a self-governing crowdsourcing marketplace ME Whiting, D Gamage, S Goyal, A Gilbee, D Majeti, A Richmond-Fuller, ... Collective Intelligence Conference, Brooklyn, NY, USA, 15-16, 2017 | | 2017 |
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon University確認したメール アドレス: cs.cmu.edu