posted by user: grupocole || 8761 views || tracked by 8 users: [display]

ACM-FAT-DC 2020 : ACM Conference on Fairness, Accountability and Transparency - Doctoral Consortium

FacebookTwitterLinkedInGoogle

Link: https://fatconference.org/2020/callfordc.html
 
When Jan 27, 2020 - Jan 27, 2020
Where Barcelona, Spain
Submission Deadline Nov 1, 2019
Categories    computer science   artificial intelligence
 

Call For Papers



The third annual ACM Conference on Fairness, Accountability and Transparency (ACM FAT*) 2020, in Barcelona 27-29 January, invites PhD students in all disciplines including computer science, statistics, law, social sciences, the humanities, and education, to apply for the FAT* Doctoral Consortium (DC). The FAT* DC offers PhD students doing research on fairness, accountability and transparency in relation to socio-technical systems with a unique opportunity to engage in substantive interaction with experienced researchers regarding their proposed dissertation research and career objectives. It aims

- to provide a setting for feedback on the research of participating PhD students;
- to provide PhD students with an opportunity to establish a supportive community, including other PhD students working in related areas or at a similar stage of their dissertation research;
- to stimulate interdisciplinary collaboration on shared research interests; and
- to support a new generation of researchers by offering advice about publishing and career paths.

The Doctoral Consortium will be held on Monday 27 January 2020, 9am-12 noon. The DC will include presentations by all participating PhD students, with plenary discussions, individual meetings with experienced researchers, discussions over breaks, peer-feedback, and panel discussions. We will also arrange lunch meetings for the participants on the other conference days.

Deadline for applications: November 1st

PhD students will be selected who have already settled on their thesis direction and who have made some progress in this direction, but still have significant research to complete. Applications will be reviewed according to the following criteria: clarity and completeness of application package, stage of research, evidence of research progress (please give references or links to published papers and/or technical reports) and assessment of contribution to and likely benefit from participating in the DC. Applications require a one-page thesis summary, a two-page CV, a one-page personal statement, and a statement from your PhD supervisor, all in a single PDF.

Scholarships for travel funding will also be available through a separate application process, designed to ensure the barriers to attendance are the lowest possible for all those who could not otherwise afford to travel or attend (https://fatconference.org/2020/scholarships.html).

More details on the doctoral consortium https://fatconference.org/2020/callfordc.html
Enquiries to dc-chairs@fatconference.org


Related Resources

Ei/Scopus-ACEPE 2026   2026 3rd IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2026)
Ei/Scopus-AI2A 2026   2026 IEEE 6th International Conference on Artificial Intelligence, Automation and Algorithms (AI2A 2026)
ACM CSAI 2026   ACM--2026 The 10th International Conference on Computer Science and Artificial Intelligence (CSAI 2026)
AMLDS 2027   IEEE--2027 3rd International Conference on Advanced Machine Learning and Data Science
ACM ICIMH 2026   ACM--2026 The 7th International Conference on Intelligent Medicine and Health (ICIMH 2026)
IEEE Big Data & Cross-AI MMAI 2026   6th Workshop on Multimodal AI
AAIML 2027   IEEE--2027 2nd International Conference on Advances in Artificial Intelligence and Machine Learning
ACM TRUST 2027   ACM Conference on Trustworthy and Responsible AI and Computing Systems
ACM CODASPY 2027   17th ACM Conference on Data and Application Security and Privacy
ACM--Singapore-CDICS 2026   2026 4th International Conference on Data, Information and Computing Science (CDICS 2026)