https://aime21.aimedicine.info<https://aime21.aimedicine.info/>

Call for Doctoral Consortium Papers: AIME 2021

*******EXTENDED DEADLINE*******

Important Dates
Submission deadline: April 12, 2021
Notification of acceptance:   April 28, 2021
Camera-ready submission deadline:   May 21, 2021
Doctoral Consortium: June 16, 2021


The 9th Doctoral Consortium in conjunction with the AIME 2021 conference will 
provide an opportunity for PhD students to present their research plans or 
their preliminary work in an informal and supportive atmosphere. The PhD 
students will be able to discuss their plans, preliminary results (optional), 
and the specific problems they are encountering. They will get feedback and 
advice from the Academic Panel including a number of prominent academic 
researchers with substantial experience in the field who will actively give 
constructive feedback and advice and contribute to the discussions.

The Doctoral Consortium will host the presentations by at most 6 PhD students 
who will be selected by the Doctoral Consortium chair. It will also include a 
short intensive tutorial on structuring a research paper (and the corresponding 
work) on different topics and with different perspectives (theoretical, 
methodological, experimental, application-oriented), and will be concluded with 
a general discussion and evaluation.

Submission

Unlike other conference submissions, a Doctoral Consortium submission pertains 
specifically to the PhD thesis as a whole or part thereof (thereafter both will 
be termed the research work). Submissions should describe (in 2000-2500 words, 
approx. 4-5 pages) a research plan on a topic related to AI in medicine and 
include the following elements:

    Title and author,
    The problem, with an argument of why it is important,
    The goal and the research questions,
    The planned approach and methods for solving the problem
    An outline of what is already known about the research problem
    The expected results from the research work like overviews, algorithms, 
better understanding of a concept, a pilot, model or system,
    Any questions you might have or problems you encounter for which you 
specifically would like feedback on such as:
        Do I need to write a systematic review before I start?
        How should I proceed?
        Where should I consider publishing?
        How should I evaluate my work?
        Which courses would suit me best to carry out the work?
        Is it normal to meet my supervisor once a week/month/year?

Submissions be formatted according to the Springer’s LNCS format (see 
http://www.springer.de/comp/lncs/authors.html) and send by e-mail in PDF format 
to David Riaño with the subject line AIME19 Doctoral Consortium submission. 
(Note: Each submission will be confirmed by a return message. If a confirmation 
message has not been received within 5 days after submission, please contact 
David Riaño to inform about it).

Submissions will be reviewed by members of the Academic Panel and by submitting 
students (each student will be asked to review one submission prepared by 
another person). Based on reviews, the Doctoral Consortium chair will select 
about 6 submissions to be presented and discussed during the meeting. The 
selection will be based on the relevancy to AI in medicine topics (see for 
example the scope for AIME 2019), relevancy to the doctoral consortium (there 
is for example no point to present finished work at the meeting), the clarity 
of writing, and the resulting spectrum of presented topics. Selected 
submissions will appear in workshop notes that will be distributed among 
conference participants.

For more information about the Doctoral Consortium please contact to David 
Riaño (david.ri...@urv.cat)

Participation

Students accepted for the Doctoral Consortium will be offered participation 
grants to cover their registration fees for the Consortium and for the main 
conference. Moreover, the Consortium is opened for audience - anybody 
interested in presentations and discussion is welcome to come.


Dr Allan Tucker
Reader
Head of Intelligent Data Analysis Group: https://ida-research.net

Brunel University London
College of Engineering, Design and Physical Sciences

Department of Computer Science

Brunel University London, Uxbridge, UB8 3PH, United Kingdom
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