posted by organizer: dustalov || 761 views || tracked by 3 users: [display]

VLDB Crowd Science Workshop 2021 : Trust, Ethics, and Excellence in Crowdsourced Data Management at Scale

FacebookTwitterLinkedInGoogle

Link: https://crowdscience.ai/conference_events/vldb21
 
When Aug 20, 2021 - Aug 20, 2021
Where Hybrid / Copenhagen, Denmark
Submission Deadline Jul 5, 2021
Notification Due Jul 19, 2021
Final Version Due Aug 2, 2021
Categories    crowdsourcing   data excellence   data management   crowd science
 

Call For Papers

At VLDB 2021 Crowd Science Workshop experts in the field will meet together to present their work and discuss the future of the field. Submit your paper to join us at VLDB 2021!

Crowdsourcing has become a standard tool to obtain large amounts of carefully annotated data. Nowadays, its applicability has exceeded the classical purpose of collecting data to train AI algorithms. Indeed, crowdsourcing is often used to conduct research studies and to gain valuable insights from public.

The focus of this workshop is on the best practices of efficient and trustworthy crowdsourcing.

We welcome all submissions in the broad area of crowdsourcing: research papers that present new results, vision papers that discuss the future of the area, industry papers that describe an interesting use case, and any other papers in the area.

# Invited Speakers

- Michael Bernstein (Stanford University)
- Wuraola Fisayo Oyewusi (Data Science Nigeria)
- Ujwal Gadiraju (Delft University of Technology)

# Focus Areas

The list of focus areas is not exclusive and works on other aspects of crowdsourcing are also welcome!

We identify three key areas:

1. Large-Scale Data Excellence

Data is a crux of crowdsourcing. On the one hand, requesters want to annotate their data without compromising its privacy. On the other hand, workers produce large amounts of data that platforms can utilize to improve their services. Data-management practices are at the heart of our workshop and we welcome submissions in this area.

2. Trust and Ethics

Crowdsourcing is a multi-agent system in which hundreds of requesters interact with thousands of workers through the interface of the platform. To ensure that the system progresses in a fair and efficient manner, it is critical that all parties trust each other and adhere to certain ethical standards. We hope to discuss these standards and critically analyze the current state of affairs in our workshop.

3. Crowd-AI Interplay

Crowdsourcing is an important source of data for AI algorithms. But do we understand how does the crowd impact the development of AI? Human decision-making is known to be susceptible to various problems, including noise, bias, subjectivity, and miscalibration. These issues can adversely impact the properties of downstream AI methods that rely on crowdsourced data. Understanding and preventing such undesirable artifacts is a key goal for the whole crowdsourcing community and we will focus on this problem in our workshop.

# Guidelines and Submission

Find format guidelines and submit a paper! https://easychair.org/cfp/VLDB-2021-Crowd

A paper should be 5–15 pages. These limits are for main content pages, including all figures and tables. Additional pages containing appendices, acknowledgements, funding disclosures, and references are allowed.

Submission link: https://easychair.org/conferences/?conf=vldb2021crowd

Time zone for all deadlines is AoE (UTC-12).

# VLDB 2021 Crowd Science Challenge

In conjunction with the workshop, we organize a shared task on aggregation of crowdsourced texts. Consider participating and submit your report to the workshop!

- https://crowdscience.ai/challenges/vldb21

# Organizers

- Daria Baidakova (Toloka)
- Fabio Casati (ServiceNow)
- Alexey Drutsa (Toloka)
- Nikita Pavlichenko (Toloka)
- Ivan Stelmakh (Carnegie Mellon University)
- Dmitry Ustalov (Toloka)

Related Resources

Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
Scopus-ICDPR 2022   The 6th International Conference on Data Processing and Robotics (ICDPR 2022)
ACSTY 2022   8th International Conference on Advances in Computer Science and Information Technology
TrECEC 2021   1st Workshop on Trust, Ethics and Compliance in Enterprise Computing
ICKE 2022   2022 8th International Conference on Knowledge Engineering (ICKE 2022)
IJCAI-AIofAI 2021   1st Workshop on Adverse Impacts and Collateral Effects of AI Technologies
ICIIT--Ei Compendex, Scopus 2022   2022 7th International Conference on Intelligent Information Technology (ICIIT 2022)--Ei Compendex, Scopus
KSEM 2022   International Conference on Knowledge Science, Engineering and Management
PST 2021   The 18th Annual International Conference on Privacy, Security & Trust (PST2021)
BDAI--IEEE, SCI, Ei, Scopus 2022   IEEE--2022 5th International Conference on Big Data and Artificial Intelligence (BDAI 2022)--SCI, EI Compendex, Scopus