DEW 2014 - Data Ethics workshop
Date2014-08-24
Deadline2014-06-04
VenueNew York City, USA - United States
Keywords
Websitehttps://dataethics.github.io
Topics/Call fo Papers
Held in conjunction with KDD 2014, the Data Ethics workshop will address a broad spectrum of ethical issues in data collection, storage, analysis, and sharing.
The workshop will be a forum to explore data science's potential ethical implications -- both positive and negative -- for data analytics practitioners and researchers in academia and industry. Perspectives from those in the humanities and social sciences are also welcome.
The workshop will have ample time for discussions and panels.
Topics
Relevant areas of interest include but are not limited to:
Balancing transparency/openness vs. privacy/security
Intentional and unintentional impact
Balancing reward vs. risk of data usage
Data use and re-use
Theory vs. practice in data ethics
Case studies of ethical issues that have arisen in data science
``Hippocratic Oath for Data Scientists''
Data ethics and the law
Commercial / economic dimensions of data ethics
Safe and effective structures for "data philanthropy"
Data ownership vs. data as a public good
What data can/should be collected in public
Surveillance technologies: pros and cons
Data anonymization/scrubbing, and data de-anonymization
Cross-cultural differences in data ethics
Human data processing and the ethics of microtasking/crowdsourcing
Development of ethical norms and/or suggested checklists for data practitioners
The workshop will be a forum to explore data science's potential ethical implications -- both positive and negative -- for data analytics practitioners and researchers in academia and industry. Perspectives from those in the humanities and social sciences are also welcome.
The workshop will have ample time for discussions and panels.
Topics
Relevant areas of interest include but are not limited to:
Balancing transparency/openness vs. privacy/security
Intentional and unintentional impact
Balancing reward vs. risk of data usage
Data use and re-use
Theory vs. practice in data ethics
Case studies of ethical issues that have arisen in data science
``Hippocratic Oath for Data Scientists''
Data ethics and the law
Commercial / economic dimensions of data ethics
Safe and effective structures for "data philanthropy"
Data ownership vs. data as a public good
What data can/should be collected in public
Surveillance technologies: pros and cons
Data anonymization/scrubbing, and data de-anonymization
Cross-cultural differences in data ethics
Human data processing and the ethics of microtasking/crowdsourcing
Development of ethical norms and/or suggested checklists for data practitioners
Other CFPs
- 1st International Workshop on Big Data Discovery & Curation (BDDC)
- 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications - BigMine-14
- International Workshop on Data Mining for Brain Science
- The 3rd ACM SIGKDD International Workshop on Urban Computing
- 2nd International Workshop on Multimodal Crowd Sensing (CrowdSens 2014)
Last modified: 2014-04-26 23:05:47