posted by organizer: aliskin || 737 views || tracked by 2 users: [display]

Crowd Science Workshop on WSDM 2023 : WSDM 2023 Crowd Science Workshop on Collaboration of Humans and Learning Algorithms for Data Labeling

FacebookTwitterLinkedInGoogle

Link: https://toloka.ai/events/wsdm-2023/
 
When Mar 3, 2023 - Mar 3, 2023
Where Singapore
Submission Deadline Jan 15, 2023
Notification Due Feb 1, 2023
Categories    crowdsourcing   active learning
 

Call For Papers

Crowdsourcing has been used to produce impactful and large-scale datasets for Machine Learning and Artificial Intelligence (AI), such as ImageNET, SuperGLUE, etc. Since the rise of crowdsourcing in the early 2000s, the AI community has been studying its computational, system design, and data-centric aspects from various angles at such workshops as CSS, CrowdML, DCAI, and HILL.

This workshop focuses on improving the welfare of the invisible labeling crowd force behind the AI, i.e., the crowdworkers.

# Focus Areas

We welcome studies that focus on the following (non-exhaustive) list of topics:

- developing and enhancing crowdworker-centric tools that offer task matching, requester assessment, and instruction validation, among other topics;
— active learning techniques, methods for joint learning from noisy data and from crowds, novel approaches for crowd-computer interaction, repetitive task automation, and role separation between humans and machines;
- designing and applying such techniques in various domains, including e-commerce and medicine.

# Guidelines and Submission

Find format guidelines and submit a paper!

https://easychair.org/cfp/wsdm2023crowdscience

Submissions due: January 5, 2023
Notifications due: February 1, 2023
Workshop date: March 3, 2023

# Paper Presentation

At least one author of each accepted paper must register for the main conference, WSDM 2023, to present their work.

# Invited Speakers

Ujwal Gadiraju, Delft University of Technology
Djellel Difallah, NYU Abu Dhabi

# Organizers

- Dmitry Ustalov, Toloka, Belgrade, Serbia
- Saiph Savage, Northeastern University Boston, MA, USA
- Niels van Berkel, University of Aalborg Aalborg, Denmark
- Yang Liu, University of California Santa Cruz, Santa Cruz, USA
- Alisa Smirnova, Toloka, Lucerne, Switzerland

Don’t hesitate to contact us at research@toloka.ai if you have any questions or suggestions regarding this workshop.

Related Resources

WSDM 2024   17th ACM International Conference on Web Search and Data Mining
CPAIOR 2024   International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
Singapore--CDICS 2024   The 2024 2nd International Conference on Data, Information and Computing Science (CDICS 2024)
DSIT 2024   7th International Conference on Data Science and Information Technology
NLE Special Issue 2024   Natural Language Engineering- Special issue on NLP Approaches for Computational Analysis of Social Media Texts for Online Well-being and Social Order
FCSIT 2024   2024 3rd Eurasian Conference on Frontiers of Computer Science and Information Technology
PCDS 2024   The 1st International Symposium on Parallel Computing and Distributed Systems
ADMIT 2024   2024 3rd International Conference on Algorithms, Data Mining, and Information Technology (ADMIT 2024)
CCBDIOT 2024   2024 3rd International Conference on Computing, Big Data and Internet of Things (CCBDIOT 2024)