INFO4990 IT Research Methods Lecture on Research Ethics (Alan Fekete, based in part on slides by Judy Kay)

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Presentation transcript:

INFO4990 IT Research Methods Lecture on Research Ethics (Alan Fekete, based in part on slides by Judy Kay)

Overview Background principles Correct research Honourable research Credit and authorship issues Protecting oneself against others

Ethical principles Professional ethics –ACM Code of Conduct –ACS Code of Conduct Emphasise obligations to clients, community, profession as a whole

Correct research The rest of the community must be able to rely on your claims about your contribution –This allows the field to advance Be explicit about the evidence for your claims Be open and clear about limits or weaknesses of your work

Truth in research (I) If you say you built a system, it must exist –Complete and running (integrated) –Not just separate pieces for each aspect If you state performance values, they must be real and fair –Describe the environment in enough detail (eg was there other load, were the caches pre- filled, what hardware/software was used)

Truth in Research (II) Data must be representative –Don’t pick the most positive examples from several attempts –Don’t reason circularly (ie don’t use data to derive a hypothesis, or to determine key parameter values, and later claim the same data as evidence) Instead, have separate training set and evaluation set

Honourable research Respect sources of data –People who were used for experiments (eg usability) Informed consent Confidentiality [make anonymous] –People about whom data speaks Confidentiality [make anonymous] –People/organisations that provided information, equipment, funding etc Licence conditions Non-disclosure agreements Possible approval process

Credit (I) Give credit to others –Cite sources you build on Enough detail to find their work! Use their words only in quotations (and then, be accurate) –Acknowledge everyone who played a role Eg tech support who provided patches to compiler Eg friend who proofread for language idioms Eg assistant who entered the data Eg someone who gave an idea that turned out to be wrong but led to solution –Authorship for those who provided important ideas “conceiving, executing or interpreting” part of the research

Credit (II) Don’t double-count –If there are several papers coming from the same research, make sure each has a distinct contribution, and explain what that is Eg one paper describes system architecture, another presents network optimisation, another shows innovative UI –Cross-reference all the other work in each publication

Authorship (I) Discuss with supervisor –What is contribution of this paper? –Who are the authors? When? –Before writing the paper –Again, before releasing it (put on web, submit to conference, etc)

Authorship (II) Usually, supervisor will be co-author –If they contributed significantly (identify the problem, put the work in a framework, help refine the design or plan the experiments, write or revise substantial parts) Often other members of the group will also be co-authors –Paper may combine results from several students’ projects –This requires care and clarity when these results are discussed in an individual student’s thesis

Protect yourself (I) Conflict with supervisor –Can occur during thesis (eg over funding, co- authorship, commercialisation, etc) Best if issues discussed before work starts (eg agreement over ownership of IP) If necessary, approach School research director –Or Associate Dean (Research Pgrads) Key is clear communication, and written records of agreements, presentation of ideas, etc

Protecting yourself (II) Planning for the future –Before you leave the university, talk to supervisor about future plans/possibilities –Will you continue the work? What directions/extensions will supervisor give to other students (vs those you will do yourself, or give to your students) –Will you submit for publication? Maybe supervisor will polish and submit, with both as co- authors Maybe another student will continue, leading to combined publication

Protect yourself (III) Issues with referees, acquaintances, web surfers –People who see your work before publication might, if they are not ethical, publish it themselves, or improve on it –This can restrict your recognition May even destroy your chance to get a degree! –Best protection is timestamped publication (eg School Tech Report) Before putting on web or submitting or sending out for comment

University of Sydney Codes Statement by all authors –Accepting that they did contribute –Identifying one author as taking responsibility Preservation of data –In a known location for 5 years, even after individuals leave the university Conflict of interest –Identify affiliation or financial interest Human subjects –Ethics approval process Commercialization –IP created by a student belongs to the student unless signed away before project started