We are currently soliciting bid proposals to host the future International Conference on Data Science and Advanced Analytics (DSAA’20xx) in three years or later. While we will consider bids from all geographical regions, we particularly encourage bids from the regions following the Asia-Europe-America iteration pattern.
All bids should be made by individuals or groups backed up by a host academic and/or research institution (typically a university or research center) in the relevant domains and disciplines.
All inquiries regarding DSAA’20xx bids should be directed to the chair of DSAA Steering Committee, Prof Longbing Cao (firstname.lastname@example.org), while you can also talk to an Advisory Committee and Steering Committee member. You are strongly encouraged to initiate the discussions well before drafting your proposal and the bid deadline.
The DSAA conference was initially established in 2014, jointly technically sponsored by IEEE and ACM. Since 2015, DSAA has been fully sponsored by IEEE, becoming an IEEE conference, and co-sponsored by ACM, in addition to sponsorship from IEEE Big Data Initiative. In 2016, the American Statistical Association (ASA) officially sponsors DSAA; DSAA becomes the only data science event that is jointly sponsored by ACM, IEEE and ASA.
DSAA’2014 was held in Oct 2014 in Shanghai, China (30 Oct-1 Nov 2014), with over 200 participants from over 40 countries; IEEE DSAA’2015 was held in Paris, France (19-21 Oct 2015), with about 1/3 industrial participants of a total of over 250 and several exhibition booths organized; IEEE DSAA’2016 was held in Montreal, Canada (17-19 Oct 2016); IEEE DSAA’2017 will be held in Tokyo, Japan (19-21 Oct 2017).
DSAA has firmly established itself as the premier forum in the area of data science, big data, advanced analytics and statistics for industry, government and academic participants. This is ensured by such features as a very competitive acceptance rate (about 10%) for regular papers, high profile core function chairs, 10 pages in IEEE double-column format by double blind review, interdisciplinary and cross-domain engagement from statistics, industry, and government. The conferences hold three main tracks: Research, Applications and Special Session tracks. DSAA features unique values and activities, including the Trends & Controversies session, and Invited Industry Talks session, to promote the development of data science, and encourage dialogue across disciplines and industry and academia. DSAA also have common activities, such as plenary keynote talks, panel sessions, associated tutorials, and social events.
Individuals and groups who are interested in hosting DSAA can find more information from the DSAA website (www.dsaa.co), including links to past DSAA conferences, the Advisory Committee and Steering Committee. Conference guide is available in the DSAA website.
The current DSAA conferences are organized in October every year. Organizers may propose to adjust the timing with strong recommendations and supporting arguments, especially avoiding conflicting events and submission deadlines of relevant conferences.
The past experience shows that DSAA is fast growing. We expect the attendance of DSAA’20xx will see 10-30% increase on top of its previous year. The steering committee may expect the conference to be held in a professional hotel in a major city with easy access to local and international transportation facilities. Open plan for holding exhibitions and poster sessions may be considered.
In recent years, DSAA has included the following components:
A bid proposal may address the following items and provide according justification:
The bid proposal should not exceed 20 pages. One active researcher (with full contacts including mobile number and skype account) in the field of DSAA is nominated as the main contact for the bidding communications and responding to clarification requests, which often come up during review.
The DSAA bid proposals will be reviewed by the DSAA steering committee in terms of the following selection criteria:
Interested individuals or groups may find the following information: