Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Neil S. Gaikwad"'
Publikováno v:
KDD
Humanitarian challenges, including natural disasters, food insecurity, climate change, racial and gender violence, environmental crises, the COVID-19 coronavirus pandemic, human rights violations, and forced displacements, disproportionately impact v
Publikováno v:
CSCW Companion
In today's Anthropocene era, human-and-climate induced sustainability challenges threaten the livelihood of vulnerable communities across the planet. To mitigate the risks of sustainability threats, data-and-theory driven scientific models, artistic
Autor:
Belén Saldías-Fuentes, Anna Chung, Rahul Bhargava, Jasmin Rubinovitz, Alexis Hope, Dennis Jen, Neil S. Gaikwad, Ethan Zuckerman
Publikováno v:
CSCW Companion
In recent years, there has been an unprecedented growth in content that is shared and presented on social media platforms. Along with this growth, however, there is an increasing concern over the lack of control social media users have on the content
Autor:
Tim Kraska, Madelon Hulsebos, Çağatay Demiralp, César A. Hidalgo, Kevin Hu, Arvind Satyanarayan, Guoliang Li, Snehalkumar (Neil) S. Gaikwad, Michiel A. Bakker, Emanuel Zgraggen
Publikováno v:
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
2019 CHI Conference on Human Factors in Computing Systems
2019 CHI Conference on Human Factors in Computing Systems, May 2019, Glasgow, United Kingdom. ⟨10.1145/3290605.3300892⟩
MIT web domain
CHI
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
2019 CHI Conference on Human Factors in Computing Systems
2019 CHI Conference on Human Factors in Computing Systems, May 2019, Glasgow, United Kingdom. ⟨10.1145/3290605.3300892⟩
MIT web domain
CHI
Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs. These exemplars often lack the characteristics of real-world datasets, and their one-off nature makes it dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0391a95cb2fd61d15d1629a327b0c568
https://hal.archives-ouvertes.fr/hal-03159766
https://hal.archives-ouvertes.fr/hal-03159766
Autor:
Varshine Chandrakanthan, Sachin Sharma, Kristy Milland, Senadhipathige S. Niranga, Dinesh Dhakal, Adam Ginzberg, Leonardy Kristianto, Snehalkumar (Neil) S. Gaikwad, Ahmed Nasser, Rajan Vaish, Vibhor Sehgal, Karolina Ziulkoski, Aaron Gilbee, Mathias Burton, Alipta Ballav, Alexander Stolzoff, Michael S. Bernstein, Sharon Zhou, Christopher Diemert, Durim Morina, Kamila Mananova, Dilrukshi Gamage, William Dai, Jeff Regino, Shirish Goyal, Nalin Chhibber, Mark E. Whiting, Victoria Purynova, Dinesh Majeti, Catherine A. Mullings, Tejas Sarma, Samarth Sandeep, Sekandar Matin, Rohit Nistala, Vinayak Mathur, Angela Richmond-Fuller, Jasmine Lin, Snehalkumar
Paid crowdsourcing platforms suffer from low-quality work and unfair rejections, but paradoxically, most workers and requesters have high reputation scores. These inflated scores, which make high-quality work and workers difficult to find, stem from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1e1060c686336494cbeaaa93c1a9b06
Autor:
Sharad Goel, Michael J. Wilber, Camelia Simoiu, Andreas Veit, Michael S. Bernstein, James Davis, Ranjay Krishna, Serge Belongie, Imanol Arrieta Ibarra, Geza Kovacs, Snehalkumar (Neil) S. Gaikwad, Rajan Vaish
Publikováno v:
Understanding Innovation ISBN: 9783319970813
UIST
UIST
Research experiences today are limited to a privileged few at select universities. Providing open access to research experiences would enable global upward mobility and increased diversity in the scientific workforce. How can we coordinate a crowd of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8c5e4a44058c9b8aa33adae84135f64
https://doi.org/10.1007/978-3-319-97082-0_7
https://doi.org/10.1007/978-3-319-97082-0_7
Autor:
Preethi Srinivas, Jeff Regino, Mark E. Whiting, Alexander Stolzoff, Michael S. Bernstein, Dilrukshi Gamage, Karolina Ziulkoski, Shirish Goyal, Dinesh Dhakal, Adam Ginzberg, Nalin Chhibber, Ahmed Nasser, Angela Richmond-Fuller, Kamila Mananova, Mohamed Hashim Salih, Tejas Sarma, Vibhor Sehgal, Sekandar Matin, Alipta Ballav, Sharon Zhou, Aaron Gilbee, Catherine A. Mullings, Senadhipathige S. Niranga, Rajan Vaish, Akshansh Sinha, Dinesh Majeti, Snehalkumar (Neil) S. Gaikwad
Publikováno v:
CSCW Companion
The success of crowdsourcing markets is dependent on a strong foundation of trust between workers and requesters. In current marketplaces, workers and requesters are often unable to trust each other's quality, and their mental models of tasks are mis
Autor:
Varshine Chandrakanthan, Sekandar Matin, Teogenes Moura, Freddie Vargus, Dilrukshi Gamage, Gabriel Bayomi Tinoco Kalejaiye, Jeff Regino, Vibhor Sehgal, Catherine A. Mullings, Mark E. Whiting, Aaron Gilbee, Alipta Ballav, Kristy Milland, Mohamed Hashim Salih, Shirish Goyal, Angela Richmond-Fuller, Rajan Vaish, Sayna Parsi, Akshansh Sinha, Dinesh Majeti, Kunz Mainali, Tejas Sarma, Snehalkumar (Neil) S. Gaikwad, Henrique R. Orefice, Nalin Chhibber, Adam Ginzberg, Michael S. Bernstein, Yoni Dayan
Crowd workers are distributed and decentralized. While decentralization is designed to utilize independent judgment to promote high-quality results, it paradoxically undercuts behaviors and institutions that are critical to high-quality work. Reputat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::545ce74f06e61929f1bee592c13d5869