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How to get the best paper award

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Title: How to get the best paper award


1
How to get the best paper award
  • Hans-Dieter Burkhard
  • Humboldt University Berlin

2
  • I dont know
  • (but it happens)

3
What is a good paper?
  • Would you read it?
  • Why
  • Interesting topics
  • Surprising results
  • Nice story
  • What is the message?
  • What to learn from the paper?

4
What is a good paper?
  • Examples
  • New efficient quality measure in SE.
  • New facts about neural control in animals.
  • A first correctness proof.

5
What is a good paper?
  • Who decides
  • Reviewers of journals/conferences
  • Readers (citations of the paper)

6
What is a good paper?
  • Typical criteria of reviewers
  • Contents
  • Contribution
  • Originality/novelty
  • Significance to theory and practice
  • Relevance to call of papers/to journal

7
What is a good paper?
  • Typical criteria of reviewers
  • Technical aspects
  • Technically sound
  • Readability and organization
  • Appropriate length of the paper
  • Content style and clarity of writing
  • Quality of English

8
Highly ranked papers
  • Articles in main journals
  • (what are the most important journals in your
    research field?)
  • Contributions in main international conferences
  • (what are the most important conferences in your
    research field?)
  • What is the acceptance rate

9
Acceptance rate
  • From a mail by the program chairs
  • We have almost completed the decision phase for
    the 531 papers that we received. We have
    followed the recommendations in 96 of the
    cases. There have been 21 papers out of 531
    decisions where we changed between reject
    poster or poster - accept compared to
    recommendations we received. In each case, it
    was done only after reading all reviews, the
    discussion, and the paper itself
  • Accepted 119
    (22)
  • Posters 133
    (25)
  • Rejected 277
    (52)
  • Transferred to Industrial Track 2

10
Highly ranked papers need time
  • Leading researchers can produce 1-2 high quality
    papers per year
  • Result of work in their group
  • Result of discussions with others

11
Other papers
  • Other (peer reviewed!) journals
  • Other (peer reviewed!) international conferences
  • National journals
  • National conferences
  • Workshops

There are so many conferences/journals
Quality Check Which kind of proceedings (e.g.
by Springer)
12
Why workshop papers?
  • Workshop papers are not highly ranked.
  • But
  • Dont start publication at the highest level
  • Early presentation of your work
  • Discussion critics and information by others
    (hopefully by reviewers)

13
What about books and book articles?
  • Large differences in ranking
  • Fundamental book (cited by everyone)
  • yet another textbook (among 100
    others)
  • (What are the standard books in your field?)

14
Organization of conference reviews
  • Program Chairs invite
  • members of the Program Committee (PC)

15
Organization of conference reviews
Dear Anton, The 5th International Conference on
Multi-Agent Systems will be held in Leipzig
(Germany), the 25-27 September 2007. CEEMAS
conferences (http//www.ceemas.org/) take place
every second year in the Central and Eastern
European region. The programme committee of the
conference series consists of well known
researchers from the region and renowned
international colleagues. The conference
proceedings are planned to be published by
Springer Verlag in the LNAI series as
before. In view of your expertise on the field,
the Chairs would like to invite you to take part
in the Program Committee of the conference. In
addition to the task of reviewing a few papers in
April/May 2007, your duties as a PC member will
be to actively promote the workshop and to
solicit paper submissions from colleagues. Please
let us know if you are able, as we hope, to
accept this invitation. Best regards
  • Chairs invite Program Committee (PC)

16
Thank for the invitation unfortunately I am
totally overloaded right now and so much decline.
I will be honored to join the PC as it was the
case for the previous ones. Please count on me.
Thank you for the invite. I will be happy to
help out on the PC.
Sure! What a pleasure to join you, my dear
friends.
17
Organization ConfMaster System
  • Web based system (same as for authors)
  • Authors upload their papers
  • Reviewers can download assigned papers
  • Each paper is usually assigned to 3 PC members
  • PC members usually get 4-10 papers to review
  • PC members ask their colleagues, assistants
  • (look for the list of reviewers in the
    proceedings )

18
How papers are assigned to reviewers
  • By Chairs only.
  • By competencies
  • PC members indicate their interests/expertise by
    given keywords
  • By bidding for papers
  • PC members indicate their interests/expertise
    based on paper abstracts

19
Format of reviews
  • Fixed Attributes
  • Ranking, e.g. between 1 5 (best)

Example Evaluation of work and contribution
4 Significance to theory and practice
4 Originality novelty
3 Relevance to the call of papers
3 Readability and organization
4 Overall recommendation
4 Reviewer familiarity
4
The important one
20
Format of reviews
  • Additional text fields

-- Comments to the author(s) I was trying
to find why it is so important to build
coalitions and in what dynamic environments
you are trying to find them. Is it for a
plant? What are the application fields of
your coalition formation? What is an example for
a noisy environment? -- Comments to the
PC -- Summary
21
Remarks of the reviewers
  • General remarks
  • Generally, I dont understand what the
    intention of the authors is. Why do they call it
    data mining if, as I understand, it ends up as a
    specific way of searching? Also, the paper does
    not mention any related work, most notably from
    the case-based reasoning area where applications
    of that kind have been developed more than 10
    years ago.
  • Contributions of the paper
  • (here you can read what the reviewer has
    understood)
  • What are the ways in which the paper should be
    improved?
  • Firstly, name the problem precisely. Do you
    address search or data mining? If the latter,
    what is the result of the data mining process?
    Investigate related work and then describe what
    really is unique and new.

22
Remarks of the reviewers
  • The idea of using relative information between
    objects/landmarks
  • is not new. At least, it has been used in SLAM
    (Simultaneous
  • Localization and Mapping) for years. See the line
    of research on
  • Relative Mapping (e.g. Smith et al., 1990,
    ).
  • In the paper, it does not describe if the
    observations are
  • communicated to ALL robots (in the team). If it
    is the case, would
  • it be better to have a central control where the
    observation are
  • collected/computed and results send to all robots
    ?
  • Detailed comments are as following
  • "Line point" is mentioned many times in the
    paper. I do not
  • understand. It is true that the robot observes
    line segments ?
  • I do not understand the figures 4a. Please
    explain in more details.
  • The figure 5b is too small to see. Please make it
    larger and
  • explain in a better way. Please clarify the last
    paragraph of page
  • 3, column 1.

23
Final decision
  • By Chairs only
  • (mainly based on overall evaluation)
  • By discussion between reviewers (try to find
    consensus)

Overall evaluation 1 strong reject 2 weak
reject 3 balanced 4 weak accept 5 strong
accept
24
Tight schedule (!) for conferences
  • Bidding Period January 22 to February 1PC
    Members/Reviewers notified of their allocation 5
    FebruaryDue dates for referee reports March
    2Consensus Discussions March 2 to 12Author
    notification March 23
  • (leaves some time for preparing final version)

25
Best paper award
  • Candidates
  • Best ranked papers
  • Proposals of PC members
  • Decision (vote) by all PC members
  • Inofficial rule The next year award is often not
    given to same topic, country, university,
  • Award is subject to scientific/political goals

26
What you can learn by reviews
  • What do others think about your work
  • References to other interesting work
  • Open questions in your paper
  • Presentation problems
  • Scientific problems

27
Writing papers
  • You should already have some results
  • The good case
  • Problems become more clear while writing
  • The bad case
  • You still dont understand what you are writing
  • NEEDS TIME!!!
  • Write it two times
  • (with a delay of 4 weeks or more)

28
What are interesting topics?
  • Exploration of new fields
  • (may arise by practical questions)
  • Main stream? Private research field?
  • (who reads your paper)

29
What are interesting topics?
  • Improvements of other work
  • New insights
  • Better estimations, better experiments,
  • Fewer preconditions
  • Corrections
  • Interdisciplinary Go to other communities

Why should someone read my paper?
30
What a paper should contain
  • What people (reviewers) read first
  • Abstract, introduction, conclusion, references
  • Figures (readability!), tables
  • They want to get an idea
  • What are the main contributions?
  • For their later reconsideration (for fixing
    ranking)
  • What were the main contributions?

31
What a paper should contain
  • Good structure
  • outline/explanation in the introduction
  • Clear (formal) Definitions and Results (!)
  • If appropriate Evaluation by experiments
  • with discussion!
  • Related work what is new in your paper
  • Open problems
  • Dont forget to give the credits to other work

32
Credits, Acknowledgements, Citations
  • Strict honesty with regard to contributions of
    partners, competitors and predecessors

33
How to find relevant papers
  • Libraries
  • References in other papers
  • Citation indices
  • Links to citations of a paper
  • Citeseer
  • Google Scholar

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38
Use of citation indices
  • Investigation of more recent work (citing
    articles are newer than the cited article)
  • Relevance of work (count of citations)
  • Additionally Who reads your papers?

39
Technical aspects
  • Given formats
  • paper size
  • pages
  • citation styles
  • Works best with LaTeX
  • Use the correct terminology
  • Include a nice story

40
  • I. INTRODUCTION
  • The classic example of negative information
    was described in the Sherlock Holmes case Silver
    Blaze. In this case, a house has been broken
    into. Under such circumstances, one would expect
    the watch-dog to bark. The curious incident of
    the non-barking of the dog in the nighttime
    provides Holmes with the information that the dog
    must know the burglar, allowing him to solve the
    case. Applied to mobile robot localization, this
    means that conclusions can be drawn from expected
    but actually missing sensor measurements 5.

41
Open problems
will be left for future research
  • What can it mean to the reader
  • You didnt like to work more on it?
  • Reviewer answers (hopefully not)
  • Present the paper if you are finished.
  • But of course Be honest with respect to unsolved
    questions and further plans.
  • Why is it unsolved?

42
Co-authorship
  • Cooperative work can help a lot.
  • Authorship
  • all cooperating people
  • order by (inverse) alphabet or better by
    contribution
  • (clarify role/contribution of co-authors)
  • Co-Authorship by recognized people can help to be
    accepted
  • Inclusion of the professor (if she/he agrees)?

43
How to be visible by others
  • Be present on the Web
  • provide papers for down load
  • Use appropriate key words
  • Discuss with others on the conferences
  • Join scientific networks!

44
Write more papers
  • Why?
  • want to have larger publication list
  • institution pays travel expenses
  • Consistently question your own findings
  • Co-authoring
  • Reuse of papers ?
  • cut-and-paste-papers ?

45
If the paper was rejected
  • Consider it as in sports
  • a step to future success.
  • referees are also humans.
  • learn from comments (hopefully they explain the
    reasons).

46
If the paper was accepted
  • Final version
  • Follow the hints of reviewers.
  • Journals further review after revision.
  • Conferences no time for further review.
  • Exception after conference proceedings
  • Technical aspects
  • No problem with LaTeX styles.

47
Presentation at conference
  • Keep the time
  • Prepare parts (proofs, remarks, explanations,
    slides, )
  • near the end that you can easily
  • add for remaining time
  • skip for missing time
  • Preparation
  • Test the talk with clock and audience
  • (with audience it will take more time than
    expected)

48
Presentation at conference
  • Technical aspects
  • Common Fonts, not less than 24 points
  • Color
  • consider physiological aspects
  • and projector may change color
  • Sufficient size of figures
  • (readable inscriptions!)
  • Parts of programs (implementation details) are
    usually not interesting and not readable

Can you read ?
red on blue ?
yellow on white?
49
Presentation at conference
  • Get the interest of the audience by
  • (a lot of papers are presented!)
  • if possible recall other talks from the session
  • Discussion
  • Source of new questions for future work
  • If you are lucky You will be invited for common
    work

50
Poster-Presentation at conferences
  • Highly competitive
  • Try to get attention
  • (provocative) thesis
  • interesting picture
  • Stay at your poster for explanation/discussion
  • Keep ready business card
  • and printed papers (if available)

51
  • Good luck!

52
After discussion
  • It might be the case that I talked too much about
    introduction and conclusion, but not enough about
    the main part in between. It is like eating The
    proof of the meal is to eat. The proof of the
    paper is to read. But to get hungry, you need a
    good guess
  • And if you write honestly the introduction and
    the conclusion, then you will learn a lot what
    your paper is really like.

The important thing is not to stop questioning.
(A. Einstein)
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54
Another topic
  • RoboCup 2009
  • will be in Graz (Austria)
  • i.e. not so far from here

55
Another topic
By the way Not only Soccer Robots, but Rescue
Robots, Robots for HomeGarden
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