SlideShare a Scribd company logo
Academic Research: A Survival
Guide
1
Payam Barnaghi
Department of Brain Sciences
Imperial College London
Doctoral Consortium
2
Why do we do research?
− Officially:
− Explore new ideas and explore new horizons.
− Develop novel solutions and prove they work!
− Solve unsolved problems and/or find new problems.
− Unofficially:
− Publish papers (and travel to conferences in nice places)
− Attract funding
− Create new systems/solutions (demonstrators) - to get more
funding
− Enhance our CV
− Secure an academic/industry job
− Or maybe impress people (friends and family?)
3
Why do we do research?
“One of the great things about
science is that it can changes the
way we see the world”.
Shankar Vedantam, Hidden Brain, NPR
4
Questions to ask before (and while)
doing research
These questions can be applied to publishing a
new paper, starting a new project or applying
for a new funding.
5
1. What is the problem?
−What problem you are trying solve.
−Not in vague and technical terms but in a simple
form.
−Pause for a minute and think what problem(s)
exactly your work is trying to solve.
−Designing x or building y is not solving a
problem; what does that x or y will do to
overcome some issues/challenges that we are
facing today?
6
2. Why is this problem important?
− It is not sufficient to only say the problem(s) that you are
solving is very important.
− You need some clear statements and evidence to show
that the problem is an important one.
− Working on a complex problem does not necessarily
make it important, nor does linking it to a complex
subject (but this will definitely make it harder and it will
have a higher risk of failure).
− Focus on the problem not the solution (at least, to begin
with).
7
3. Who will benefit from this research?
− Again you need to be specific and say who, what sectors,
why and how these will benefit from your research.
− This can be an applied or fundamental research; both are
(hopefully) driven by curiosity; however:
− Applied research: This can be linked to a popular (or
unpopular) problem/issue related to economy, society
and other technical and none-technical challenges that
(hopefully) will benefit people and the cost (time,
complexity, investment) of doing this will be worth the
benefits.
− Fundamental research: If you do pure science, you may
argue how this will change the way we see (or perceive)
the world. 8
4. How is this different from what has already been
done?
− You need to compare and contrast your work with some
of the existing and well-known solutions.
− If there are several papers/solutions/projects in the area
of your work, you need to have some clear
understanding of these and provide statements that
stand out quickly; you should probably avoid generic
statements.
− You obviously need to support your claims with some
practical evaluation/comparison.
9
5. What are (or will be) the key novelties?
− Scientific research advancements.
− Industry/use-case solutions that can benefit from this
work (you need to explain what will be novel about
them).
− You can discuss how you have changed (or will change, if
you are writing a proposal) the way that people look at a
problem or view a domain.
− You may propose a completely new
product/service/algorithm/technology/… or something
that no one has done and/or thought about before - but
to make it interesting from a research point of view you
need to say why it is new or better, compared to what is
already out there.
10
6. Why is this a challenging research and
development?
− You need to clearly explain why simple or existing
solutions won’t work or are not sufficient.
− e.g. centralised solutions are not suitable for large scale
… because they have large overhead, so we propose …. .
− Justify why one should fund/support this research for x
period with n number of people; or, if you are trying to
publish your work, justify why this work has been so
interesting and fascinating (painful?) that it deserves to
be published.
− Put simply, you need to show why an easy fix wouldn’t
have worked.
11
7. What is the main impact(s) of this work?
− Specific statements on how this will contribute to … and
the well-being of people, society, safety, etc… and why
this impact will be (or is) achieved by this work/project
and not something else.
− Otherwise everyone can say we have an impact on x, y,
z,; it is very important to say why (and how).
− Think of your work’s unique offerings.
− Put yourself in your audience’s/customers’ shoes.
12
8. What will you require to do this work?
− More funding, more help, …
− You need to justify the resources that you are asking for
and show why your work is worth it.
− For proposals, you also need to explain why you believe
the team that you have/propose is the best combination
of people/expertise to deliver this.
13
9. What are the tangible outcomes?
− What your results will look like.
− What products and services you will offer by end of this
project (at what TRL levels).
− Discuss your plans to use/dissaminate the results.
− If this is a paper:
−Show demos/screenshots,
−Add links to underlying data/code (if there are no
IP/privacy issues),
−Discuss the reproducibility of your results.
14
10. Who else could be involved?
− Standardisation,
− Stakeholders, user groups,
− Other teams, other disciplines, your peers.
− Think of a wider audience for your research.
15
Be prepared for set-backs and failures
16
17
18
Source: https://morethansound.net/wp-content/uploads/Failure.jpg
“Anyone who has never made a
mistake has never tried anything
new.”
Albert Einstein
19
Fault tolerance in research
−Do not compromise the quality and results,
−However, be prepared for failures,
−and have a recovery plan.
20
“Fear is the main source of superstition,
and one of the main sources of cruelty. To
conquer fear is the beginning of wisdom”.
-Bertrand Russell
21
“Failure is so important. We speak about
success all the time. It is the ability to
resist failure or use failure that often leads
to greater success. I’ve met people who
don’t want to try for fear of failing.”
J.K. Rowling
22
Creativity
23
Creativity…well it’s all hard work,
good thinking and more work.
24
Innovation vs. (Random) Alchemy
25
Image source: http://ljekc.deviantart.com/favourites/47171460/ALCHEMISTS
Creativity
− It is not equivalent to complexity
− or obscurity
− It’s the art of seeing things in a way that hasn’t been
seen before.
− Finding metaphors and explaining things using the new
metaphors.
− Looking and looking until you unlock the problem.
26
When the poet Paul Valery once asked
Albert Einstein if he kept a notebook to
record his ideas, Einstein looked at him with
mild but genuine surprise. "Oh, that's not
necessary," he replied. "It's so seldom I have
one.”
- Bill Bryson
A Short History of Nearly Everything
27
A method for counting Canadian beavers from
outer space
28
“The world is full of obvious things
which nobody by any chance ever
observes.”
Sherlock Holmes
The Hound of the Baskervilles
29
Web search in the early days
30
And then came Google!
3131
Google says that the web has now 30
trillion unique individual pages;
Technique vs. Problem Orientation
−“No technical skill is worth more than knowing
how to select an existing research project”.
Peter J. Feibelman, A PhD is not enough
−Focus on the problem; you can always learn the
techniques.
−And also know/learn the basics and principal
concepts and theories in your field.
32
On Problem Solving
−“When you follow two separate chains of
thought, Watson, you will find some point of
intersection which should approximate to the
truth.” –
Sherlock Holmes, The Disappearance of Lady Frances Carfax
−“Always approach a case with an absolutely
blank mind. It is always an advantage. Form no
theories, just simply observe and draw inferences
from your observations.”
Sherlock Holmes, The Adventure of the Cardboard Box
33
“Never trust anything that can think for
itself if you can’t see where it keeps its
brain”.
- Arthur Weasley in J. K. Rowling
Harry Potter and the Prisoner of Azkaban
34
Scientific Research- the process
35
Consensus
− Scientific process relies on organised scepticism.
− Your ideas and your work should be clear and
reproducible.
− Your work and ideas will become really useful if other
people agree with them and use them.
− Write/present them in accessible forms.
− Make your underlying assumptions clear.
− Make your data/results/code (depending on the
IP/privacy/sensitivity) available.
− Respond to queries and questions.
36
Generosity in research
−Be generous and make friends.
−IP and protection are important.
−But, research and innovation also come with
sharing knowledge and discussing your work
with your peers,
−This will always keep you one step ahead…
37
Find a good mentor
− Someone who doesn’t see you as a competitor.
− Don’t be shy about getting to know people outside your
team.
− Ask for help; everybody likes to give advice 
− A good mentor can be a former advisor, a senior
member in your institution, someone you meet at a
conference
(that’s why you should be well prepared for your
conference/workshop talks and attend important talks at
conferences and ask questions).
38
Communication
− Never send angry emails…
− Never send emails while you are angry…
− Always wait and don’t send emails if you cannot think
rationally…
− Sometimes if you wait enough an annoying matter
(which at the time may seem to require immediate
attention) will solve itself or will get solved; just be
patient. Avoid the impulsive moment.
39
Communication
− Don’t threaten to leave your job (unless you already have
a very good offer) and never leave (without having a
better offer that is confirmed) just because you don’t like
… or ….
− Even if you decide to leave a place, always leave on good
terms.
− If you are upset find the right time (and the right person)
and express your frustration but resist the temptation to
talk about someone who is not present.
40
Prioritise
− You need to set your own targets; who you want to be,
where you want to be.
− There is a lot that you are capable of doing and there are
lots of things that you may be asked to do (or volunteer
for); but always think about their importance and your
obligations.
− Don’t overdo it, and don’t avoid helping others - have
some priorities.
− Learn to say “No” – thank you for your invitation. I
appreciate your interest in our work, but unfortunately I
am overcommitted at the moment.
41
Prioritise
− If you are involved in a collaborative
project/meeting/discussion/proposal that seems to be
going nowhere, politely (and slowly) reduce your
involvement.
− You are in academia so there must always be some
meetings, teaching obligations, tutorials, lab supervision
that [can] overlap with the (group in question's) meeting.
− Before saying “Yes” think: 1) do I have time for this? 2) is
this really important? 3) Will I or someone else will
benefit from this?
42
Get your priorities straight and revisit
them from time to time.
43
Work with your peers
− Help them because one day you may need their help.
− Try to find a group of people with whom you would
genuinely like to work and collaborate over time; from
your discipline and other disciplines as well.
− But, have clear targets; if you only meet and talk and
never get anything tangible done, you will get tired and
others may get tired of you (the latter is more
dangerous).
44
Giving Talks
45
https://www.ted.com/speakers/hans_roslin
g
46
Naomi Oreskes
https://www.ted.com/talks/naomi_oreskes_why_we_should_believe_in_science
Giving talks
− Know your work.
− Be well prepared.
− Respect the time and focus on the key points.
− Avoid self-promotion; your work should speak for itself.
− Understand and respect the needs/interests of your
audience.
− Your talk is for your audience not for you; so think and
investigate what it will be important for your audience to
learn/know. Put yourself in their shoes and think what
you would expect/want to see or hear.
47
Giving talks – Q&A
− Appreciate the audience’s time and attention.
− Don’t be too defensive (or aggressive).
− Listen to the questions and answer them to the best of
your knowledge/ability.
− If you don’t know the answer, give a response based on
your analysis but say that you don’t know the exact
answer to the question…
− Some people may come across as aggressive or ask their
question in a way that makes you uncomfortable; the
audience will hear and feel this so just be cool and try to
answer the question with logical statements and
according to scientific facts and evidence.
48
A Career in Academia
− Establish a reputation for your work (different from
trying to become famous- this can come later).
− Make friends and show that you are willing to work with
others.
− Study the department(s)/group(s) that you would like to
join and see what are their key criteria for hiring
academic members.
− Have a web presence.
− Be a good citizen of your field/community (but don’t
overdo it).
− Show interest in teaching and try to gain some
experience (TA, Tutorials, talks).
49
A Career in Academia
− Create a vision for your future research and align it with
the priorities of funding bodies (and talk about this in
your interview and/or whenever suitable with your
Manager, HoD, Dean, Provost for research, …).
− Be prepared to attract research/industry funding.
− Interact with people- sometimes calling someone on the
phone or offering to go and meet them personally can
turn out to be really, really, helpful.
− Stay out of office politics if you want to do something
interesting.
50
Publications
“Words are, in my not-so-humble
opinion, our most inexhaustible
source of magic”.
J. K. Rowling, Harry Potter and the Philosopher’s Stone.
51
Publications
−Choose the right journal/conference.
−You need to publish a certain number of papers
but quality is more important.
−People spend their time reviewing/reading your
papers; respect their time and effort and write
something pleasant to read, that the readers will
learn from and will find interesting.
52
Publication
−Talk about the limitations of your work and link
these limitations to the direction of your future
research.
−In your discussion/conclusions, if you can, talk
about the lessons that you have learned (and
mistakes that you made during the work).
−Make sure your claims are reproducible.
−Acknowledge other people’s contributions.
53
Survival Checklist
− Consider your audience - their interests, priorities, …
− Be a resourceful colleague/collaborator but also learn to
say “No”.
− Define your priorities.
− Meet and network with people within and also outside
your discipline.
− Create a plan for your publications and target key events.
− Apply for funding (consider the 10 questions that we
discussed earlier).
− Remember and remind yourself of your goals.
54
Acknowledgements
− Several people have contributed to the thoughts and
discussions related to this talk, including Prof Amit Sheth,
Atti Emecz, Prof Hamid Aghvami of King’s College
London, my students: Yasmin Fathy, Daniel Puschmann,
Nikos Papachristou and many other friends and
colleagues.
− Some parts of the slides are adapted from Peter J.
Feibelman’s “A PhD is Not Enough” (one of my favourite
books), Ray Kurzweil’s “How to Create a Mind”, NPR’s
Shankar Vedantam and his “Hidden Brian” Program,
NPR’s Guy Raz and his “TED Radio Hour” program and
several brilliant speakers at TED.
55
Desire for innovation
56
Driverless Car of the Future (1957)
Image: Courtesy of http://paleofuture.com
Q&A
Thank you for your attention.
web: https://www.imperial.ac.uk/people/p.barnaghi
twitter: @pbarnaghi
Additional slides
58
Giving talks
− Often you don’t need to show an agenda.
− If you are showing graphs, at least say why you are
showing them and highlight the important points.
− Show mathematical equations and complex formulas
only and only if you don’t have anything else interesting
to show (unless maths is your field of work).
− The opening to your talk is important.
59
Giving Talks
− Practice and practice.
− Be prepared.
− Slides should look professional.
− If it is for a job interview, learn about your audience, their
work, interests; link your work to some of their projects
and work. [Indirectly] tell them why you think your
expertise will be valuable and will complement their
work.
− Don’t oversell/over-promote your work but at the same
time don’t be too humble.
− Be enthusiastic about your work. 60
Giving talks
− Talks for job interviews, your colleagues and
collaborators, conference/workshops and public talks.
− Use your time efficiently and do not overestimate or
underestimate your audience.
− Provide some basic information about your work.
− Tell a good story; something that people will follow and
engage with.
61
Use humour (if you can) but don’t be offensive
62
Image source: Stocky, NPR
Institutionalised Conflict
− People (read managers) [may] make mistakes; sometimes
these mistakes [may] hurt other people.
− Competition can cause conflict.
− Differences of opinion, and different methods and
approaches to solving/addressing the problem can cause
conflict.
− “Successful collaboration is possible when one or both
contributors have established reputations, or when each
researcher brings a different identifiable skill to the
collaborative project”.
63
Publications
−They will stay in libraries and most probably be
accessible for ever.
−So think about this when you submit them.
−This shouldn’t discourage you from sending an
early stage work; but be precise and clear.
−Remember, your students and colleagues may
read your work in the future; or you may even
read it yourself one day.
64
A Research Career in Industry
− You can probably get a permanent job (if there is
anything like this anymore) more quickly.
− Your job description will probably be simpler than your
academic friends.
− You will work in a “managed” environment.
− Your research will most probably be around your
company’s field of work and interests.
− Depending on the company’s interest, you may be asked
to generate patents, applications, demos, or papers. Try
to find out about this before you join and see if that’s
what you are interested in.
65
Links and sources
− Twenty things I wish I’d known when I started my PhD
− https://www.nature.com/articles/d41586-018-07332-
x?error=cookies_not_supported&code=7df2c56b-d6fe-4e58-
9386-6f9994bfc81a
− Done is better than perfect: overcoming PhD
perfectionism
− http://blogs.nature.com/naturejobs/2018/07/09/done-is-better-
than-perfect-overcoming-phd-perfectionism/
− “Thinking Fast and Slow”, Daniel Kahnemann.
66

More Related Content

What's hot

TC Dojo Ageism-12-8-2014
TC Dojo Ageism-12-8-2014TC Dojo Ageism-12-8-2014
TC Dojo Ageism-12-8-2014Andrew Davis
 
The Core of Design Thinking
The Core of Design ThinkingThe Core of Design Thinking
The Core of Design Thinking
Ravenskirk Llp
 
Professional Development Lecture 1 2011
Professional Development Lecture 1 2011Professional Development Lecture 1 2011
Professional Development Lecture 1 2011
Philip Bourne
 
From Academia to Industry, Reflections on a Career in Data Science
From Academia to Industry, Reflections on a Career in Data ScienceFrom Academia to Industry, Reflections on a Career in Data Science
From Academia to Industry, Reflections on a Career in Data Science
Juuso Parkkinen
 
Systems Engineering : The Art of Gluing Pieces
Systems Engineering : The Art of Gluing Pieces Systems Engineering : The Art of Gluing Pieces
Systems Engineering : The Art of Gluing Pieces
Bernardo A. Delicado
 
Master Beginners' Workshop September 2018
Master Beginners' Workshop September 2018Master Beginners' Workshop September 2018
Master Beginners' Workshop September 2018
Miguel Pardal
 
Concepts Development : How To Create Products Customers Love
Concepts Development : How To Create Products Customers LoveConcepts Development : How To Create Products Customers Love
Concepts Development : How To Create Products Customers Love
Bernardo A. Delicado
 

What's hot (7)

TC Dojo Ageism-12-8-2014
TC Dojo Ageism-12-8-2014TC Dojo Ageism-12-8-2014
TC Dojo Ageism-12-8-2014
 
The Core of Design Thinking
The Core of Design ThinkingThe Core of Design Thinking
The Core of Design Thinking
 
Professional Development Lecture 1 2011
Professional Development Lecture 1 2011Professional Development Lecture 1 2011
Professional Development Lecture 1 2011
 
From Academia to Industry, Reflections on a Career in Data Science
From Academia to Industry, Reflections on a Career in Data ScienceFrom Academia to Industry, Reflections on a Career in Data Science
From Academia to Industry, Reflections on a Career in Data Science
 
Systems Engineering : The Art of Gluing Pieces
Systems Engineering : The Art of Gluing Pieces Systems Engineering : The Art of Gluing Pieces
Systems Engineering : The Art of Gluing Pieces
 
Master Beginners' Workshop September 2018
Master Beginners' Workshop September 2018Master Beginners' Workshop September 2018
Master Beginners' Workshop September 2018
 
Concepts Development : How To Create Products Customers Love
Concepts Development : How To Create Products Customers LoveConcepts Development : How To Create Products Customers Love
Concepts Development : How To Create Products Customers Love
 

Similar to Academic Research: A Survival Guide

Scientific and Academic Research: A Survival Guide 
Scientific and Academic Research:  A Survival Guide Scientific and Academic Research:  A Survival Guide 
Scientific and Academic Research: A Survival Guide 
PayamBarnaghi
 
On practical philosophy of research in science and technology
On practical philosophy of research in science and technologyOn practical philosophy of research in science and technology
On practical philosophy of research in science and technology
Seppo Karrila
 
Don't let assumptions kill good ideas
Don't let assumptions kill good ideasDon't let assumptions kill good ideas
Don't let assumptions kill good ideas
Lauren Liss
 
Don't let assumptions kill good ideas
Don't let assumptions kill good ideasDon't let assumptions kill good ideas
Don't let assumptions kill good ideas
Lauren Liss
 
Research.pptx
Research.pptxResearch.pptx
Research.pptx
Naim Tahir Baig
 
Research Methodology UNIT 1.pptx
Research Methodology UNIT 1.pptxResearch Methodology UNIT 1.pptx
Research Methodology UNIT 1.pptx
PallawiBulakh1
 
Communication Skills in Science: Research in 4 minutes (Rin4)
Communication Skills in Science: Research in 4 minutes (Rin4)Communication Skills in Science: Research in 4 minutes (Rin4)
Communication Skills in Science: Research in 4 minutes (Rin4)
Aurelio Ruiz Garcia
 
Communication Skills in science: the Research in 4 minutes competition. PhD s...
Communication Skills in science: the Research in 4 minutes competition. PhD s...Communication Skills in science: the Research in 4 minutes competition. PhD s...
Communication Skills in science: the Research in 4 minutes competition. PhD s...
Aurelio Ruiz Garcia
 
Research Challenges – Am I Doing “Real” Research?
Research Challenges – Am I Doing “Real” Research?Research Challenges – Am I Doing “Real” Research?
Research Challenges – Am I Doing “Real” Research?Dr. Mazlan Abbas
 
Finding a research topic
Finding a research topicFinding a research topic
Finding a research topic
Hussein Sabit
 
Creative And Innovative Thinking Skills
Creative And Innovative Thinking SkillsCreative And Innovative Thinking Skills
Creative And Innovative Thinking Skillskkjjkevin03
 
Critical Thinking for Consultants-External
Critical Thinking for Consultants-ExternalCritical Thinking for Consultants-External
Critical Thinking for Consultants-ExternalAsh Winter
 
The Innovator's DNA - An Interpretation of the Five Skills of Disruptive Inno...
The Innovator's DNA - An Interpretation of the Five Skills of Disruptive Inno...The Innovator's DNA - An Interpretation of the Five Skills of Disruptive Inno...
The Innovator's DNA - An Interpretation of the Five Skills of Disruptive Inno...
Luc Lalande
 
Design Thinking@saurabhgupta218
Design Thinking@saurabhgupta218Design Thinking@saurabhgupta218
Design Thinking@saurabhgupta218
Saurabh Gupta
 
Choosing research topic[1]
Choosing research topic[1]Choosing research topic[1]
Choosing research topic[1]
Bahauddin Zakariya University lahore
 
Creative thinking
Creative thinkingCreative thinking
Creative thinking
Dr.M.Karthika parthasarathy
 
Six thinking hats
Six thinking hatsSix thinking hats
Six thinking hats
DMR Panda
 
Creative Practices & Innovation.ppt
Creative Practices & Innovation.pptCreative Practices & Innovation.ppt
Creative Practices & Innovation.ppt
DrManjunathaBabuNS
 
Mauritius Big Data and Machine Learning JEDI workshop
Mauritius Big Data and Machine Learning JEDI workshopMauritius Big Data and Machine Learning JEDI workshop
Mauritius Big Data and Machine Learning JEDI workshop
CosmoAIMS Bassett
 
Ch. 2. The Research Process.pptx
Ch. 2. The Research Process.pptxCh. 2. The Research Process.pptx
Ch. 2. The Research Process.pptx
VeeramKarnawat
 

Similar to Academic Research: A Survival Guide (20)

Scientific and Academic Research: A Survival Guide 
Scientific and Academic Research:  A Survival Guide Scientific and Academic Research:  A Survival Guide 
Scientific and Academic Research: A Survival Guide 
 
On practical philosophy of research in science and technology
On practical philosophy of research in science and technologyOn practical philosophy of research in science and technology
On practical philosophy of research in science and technology
 
Don't let assumptions kill good ideas
Don't let assumptions kill good ideasDon't let assumptions kill good ideas
Don't let assumptions kill good ideas
 
Don't let assumptions kill good ideas
Don't let assumptions kill good ideasDon't let assumptions kill good ideas
Don't let assumptions kill good ideas
 
Research.pptx
Research.pptxResearch.pptx
Research.pptx
 
Research Methodology UNIT 1.pptx
Research Methodology UNIT 1.pptxResearch Methodology UNIT 1.pptx
Research Methodology UNIT 1.pptx
 
Communication Skills in Science: Research in 4 minutes (Rin4)
Communication Skills in Science: Research in 4 minutes (Rin4)Communication Skills in Science: Research in 4 minutes (Rin4)
Communication Skills in Science: Research in 4 minutes (Rin4)
 
Communication Skills in science: the Research in 4 minutes competition. PhD s...
Communication Skills in science: the Research in 4 minutes competition. PhD s...Communication Skills in science: the Research in 4 minutes competition. PhD s...
Communication Skills in science: the Research in 4 minutes competition. PhD s...
 
Research Challenges – Am I Doing “Real” Research?
Research Challenges – Am I Doing “Real” Research?Research Challenges – Am I Doing “Real” Research?
Research Challenges – Am I Doing “Real” Research?
 
Finding a research topic
Finding a research topicFinding a research topic
Finding a research topic
 
Creative And Innovative Thinking Skills
Creative And Innovative Thinking SkillsCreative And Innovative Thinking Skills
Creative And Innovative Thinking Skills
 
Critical Thinking for Consultants-External
Critical Thinking for Consultants-ExternalCritical Thinking for Consultants-External
Critical Thinking for Consultants-External
 
The Innovator's DNA - An Interpretation of the Five Skills of Disruptive Inno...
The Innovator's DNA - An Interpretation of the Five Skills of Disruptive Inno...The Innovator's DNA - An Interpretation of the Five Skills of Disruptive Inno...
The Innovator's DNA - An Interpretation of the Five Skills of Disruptive Inno...
 
Design Thinking@saurabhgupta218
Design Thinking@saurabhgupta218Design Thinking@saurabhgupta218
Design Thinking@saurabhgupta218
 
Choosing research topic[1]
Choosing research topic[1]Choosing research topic[1]
Choosing research topic[1]
 
Creative thinking
Creative thinkingCreative thinking
Creative thinking
 
Six thinking hats
Six thinking hatsSix thinking hats
Six thinking hats
 
Creative Practices & Innovation.ppt
Creative Practices & Innovation.pptCreative Practices & Innovation.ppt
Creative Practices & Innovation.ppt
 
Mauritius Big Data and Machine Learning JEDI workshop
Mauritius Big Data and Machine Learning JEDI workshopMauritius Big Data and Machine Learning JEDI workshop
Mauritius Big Data and Machine Learning JEDI workshop
 
Ch. 2. The Research Process.pptx
Ch. 2. The Research Process.pptxCh. 2. The Research Process.pptx
Ch. 2. The Research Process.pptx
 

More from PayamBarnaghi

Reproducibility in machine learning
Reproducibility in machine learningReproducibility in machine learning
Reproducibility in machine learning
PayamBarnaghi
 
Search, Discovery and Analysis of Sensory Data Streams
Search, Discovery and Analysis of Sensory Data StreamsSearch, Discovery and Analysis of Sensory Data Streams
Search, Discovery and Analysis of Sensory Data Streams
PayamBarnaghi
 
Internet Search: the past, present and the future
Internet Search: the past, present and the futureInternet Search: the past, present and the future
Internet Search: the past, present and the future
PayamBarnaghi
 
Lecture 8: IoT System Models and Applications
Lecture 8: IoT System Models and ApplicationsLecture 8: IoT System Models and Applications
Lecture 8: IoT System Models and Applications
PayamBarnaghi
 
Lecture 7: Semantic Technologies and Interoperability
Lecture 7: Semantic Technologies and InteroperabilityLecture 7: Semantic Technologies and Interoperability
Lecture 7: Semantic Technologies and Interoperability
PayamBarnaghi
 
Lecture 6: IoT Data Processing
Lecture 6: IoT Data Processing Lecture 6: IoT Data Processing
Lecture 6: IoT Data Processing
PayamBarnaghi
 
Lecture 5: Software platforms and services
Lecture 5: Software platforms and services Lecture 5: Software platforms and services
Lecture 5: Software platforms and services
PayamBarnaghi
 
Internet of Things for healthcare: data integration and security/privacy issu...
Internet of Things for healthcare: data integration and security/privacy issu...Internet of Things for healthcare: data integration and security/privacy issu...
Internet of Things for healthcare: data integration and security/privacy issu...
PayamBarnaghi
 
Semantic Technolgies for the Internet of Things
Semantic Technolgies for the Internet of ThingsSemantic Technolgies for the Internet of Things
Semantic Technolgies for the Internet of Things
PayamBarnaghi
 
Internet of Things and Data Analytics for Smart Cities and eHealth
Internet of Things and Data Analytics for Smart Cities and eHealthInternet of Things and Data Analytics for Smart Cities and eHealth
Internet of Things and Data Analytics for Smart Cities and eHealth
PayamBarnaghi
 
Spatial Data on the Web
Spatial Data on the WebSpatial Data on the Web
Spatial Data on the Web
PayamBarnaghi
 
IoT-Lite: A Lightweight Semantic Model for the Internet of Things
IoT-Lite:  A Lightweight Semantic Model for the Internet of ThingsIoT-Lite:  A Lightweight Semantic Model for the Internet of Things
IoT-Lite: A Lightweight Semantic Model for the Internet of Things
PayamBarnaghi
 
The Future is Cyber-Healthcare
The Future is Cyber-Healthcare The Future is Cyber-Healthcare
The Future is Cyber-Healthcare
PayamBarnaghi
 
Internet of Things: Concepts and Technologies
Internet of Things: Concepts and TechnologiesInternet of Things: Concepts and Technologies
Internet of Things: Concepts and Technologies
PayamBarnaghi
 
How to make cities "smarter"?
How to make cities "smarter"?How to make cities "smarter"?
How to make cities "smarter"?
PayamBarnaghi
 
The Internet of Things: What's next?
The Internet of Things: What's next? The Internet of Things: What's next?
The Internet of Things: What's next?
PayamBarnaghi
 
Information Engineering in the Age of the Internet of Things
Information Engineering in the Age of the Internet of Things Information Engineering in the Age of the Internet of Things
Information Engineering in the Age of the Internet of Things
PayamBarnaghi
 
Smart Cities….Smart Future
Smart Cities….Smart FutureSmart Cities….Smart Future
Smart Cities….Smart Future
PayamBarnaghi
 
What makes smart cities “Smart”?
What makes smart cities “Smart”? What makes smart cities “Smart”?
What makes smart cities “Smart”?
PayamBarnaghi
 
Semantic technologies for the Internet of Things
Semantic technologies for the Internet of Things Semantic technologies for the Internet of Things
Semantic technologies for the Internet of Things
PayamBarnaghi
 

More from PayamBarnaghi (20)

Reproducibility in machine learning
Reproducibility in machine learningReproducibility in machine learning
Reproducibility in machine learning
 
Search, Discovery and Analysis of Sensory Data Streams
Search, Discovery and Analysis of Sensory Data StreamsSearch, Discovery and Analysis of Sensory Data Streams
Search, Discovery and Analysis of Sensory Data Streams
 
Internet Search: the past, present and the future
Internet Search: the past, present and the futureInternet Search: the past, present and the future
Internet Search: the past, present and the future
 
Lecture 8: IoT System Models and Applications
Lecture 8: IoT System Models and ApplicationsLecture 8: IoT System Models and Applications
Lecture 8: IoT System Models and Applications
 
Lecture 7: Semantic Technologies and Interoperability
Lecture 7: Semantic Technologies and InteroperabilityLecture 7: Semantic Technologies and Interoperability
Lecture 7: Semantic Technologies and Interoperability
 
Lecture 6: IoT Data Processing
Lecture 6: IoT Data Processing Lecture 6: IoT Data Processing
Lecture 6: IoT Data Processing
 
Lecture 5: Software platforms and services
Lecture 5: Software platforms and services Lecture 5: Software platforms and services
Lecture 5: Software platforms and services
 
Internet of Things for healthcare: data integration and security/privacy issu...
Internet of Things for healthcare: data integration and security/privacy issu...Internet of Things for healthcare: data integration and security/privacy issu...
Internet of Things for healthcare: data integration and security/privacy issu...
 
Semantic Technolgies for the Internet of Things
Semantic Technolgies for the Internet of ThingsSemantic Technolgies for the Internet of Things
Semantic Technolgies for the Internet of Things
 
Internet of Things and Data Analytics for Smart Cities and eHealth
Internet of Things and Data Analytics for Smart Cities and eHealthInternet of Things and Data Analytics for Smart Cities and eHealth
Internet of Things and Data Analytics for Smart Cities and eHealth
 
Spatial Data on the Web
Spatial Data on the WebSpatial Data on the Web
Spatial Data on the Web
 
IoT-Lite: A Lightweight Semantic Model for the Internet of Things
IoT-Lite:  A Lightweight Semantic Model for the Internet of ThingsIoT-Lite:  A Lightweight Semantic Model for the Internet of Things
IoT-Lite: A Lightweight Semantic Model for the Internet of Things
 
The Future is Cyber-Healthcare
The Future is Cyber-Healthcare The Future is Cyber-Healthcare
The Future is Cyber-Healthcare
 
Internet of Things: Concepts and Technologies
Internet of Things: Concepts and TechnologiesInternet of Things: Concepts and Technologies
Internet of Things: Concepts and Technologies
 
How to make cities "smarter"?
How to make cities "smarter"?How to make cities "smarter"?
How to make cities "smarter"?
 
The Internet of Things: What's next?
The Internet of Things: What's next? The Internet of Things: What's next?
The Internet of Things: What's next?
 
Information Engineering in the Age of the Internet of Things
Information Engineering in the Age of the Internet of Things Information Engineering in the Age of the Internet of Things
Information Engineering in the Age of the Internet of Things
 
Smart Cities….Smart Future
Smart Cities….Smart FutureSmart Cities….Smart Future
Smart Cities….Smart Future
 
What makes smart cities “Smart”?
What makes smart cities “Smart”? What makes smart cities “Smart”?
What makes smart cities “Smart”?
 
Semantic technologies for the Internet of Things
Semantic technologies for the Internet of Things Semantic technologies for the Internet of Things
Semantic technologies for the Internet of Things
 

Recently uploaded

CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
BhavyaRajput3
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
Special education needs
 
Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
joachimlavalley1
 
The Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve ThomasonThe Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve Thomason
Steve Thomason
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
beazzy04
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
siemaillard
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
DeeptiGupta154
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
Anna Sz.
 
How to Break the cycle of negative Thoughts
How to Break the cycle of negative ThoughtsHow to Break the cycle of negative Thoughts
How to Break the cycle of negative Thoughts
Col Mukteshwar Prasad
 
Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......
Ashokrao Mane college of Pharmacy Peth-Vadgaon
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
RaedMohamed3
 
Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)
rosedainty
 
Introduction to Quality Improvement Essentials
Introduction to Quality Improvement EssentialsIntroduction to Quality Improvement Essentials
Introduction to Quality Improvement Essentials
Excellence Foundation for South Sudan
 
Model Attribute Check Company Auto Property
Model Attribute  Check Company Auto PropertyModel Attribute  Check Company Auto Property
Model Attribute Check Company Auto Property
Celine George
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
Vikramjit Singh
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
JosvitaDsouza2
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
PedroFerreira53928
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
MIRIAMSALINAS13
 

Recently uploaded (20)

CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
 
Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
 
The Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve ThomasonThe Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve Thomason
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
 
How to Break the cycle of negative Thoughts
How to Break the cycle of negative ThoughtsHow to Break the cycle of negative Thoughts
How to Break the cycle of negative Thoughts
 
Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
 
Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)
 
Introduction to Quality Improvement Essentials
Introduction to Quality Improvement EssentialsIntroduction to Quality Improvement Essentials
Introduction to Quality Improvement Essentials
 
Model Attribute Check Company Auto Property
Model Attribute  Check Company Auto PropertyModel Attribute  Check Company Auto Property
Model Attribute Check Company Auto Property
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
 

Academic Research: A Survival Guide

  • 1. Academic Research: A Survival Guide 1 Payam Barnaghi Department of Brain Sciences Imperial College London Doctoral Consortium
  • 2. 2
  • 3. Why do we do research? − Officially: − Explore new ideas and explore new horizons. − Develop novel solutions and prove they work! − Solve unsolved problems and/or find new problems. − Unofficially: − Publish papers (and travel to conferences in nice places) − Attract funding − Create new systems/solutions (demonstrators) - to get more funding − Enhance our CV − Secure an academic/industry job − Or maybe impress people (friends and family?) 3
  • 4. Why do we do research? “One of the great things about science is that it can changes the way we see the world”. Shankar Vedantam, Hidden Brain, NPR 4
  • 5. Questions to ask before (and while) doing research These questions can be applied to publishing a new paper, starting a new project or applying for a new funding. 5
  • 6. 1. What is the problem? −What problem you are trying solve. −Not in vague and technical terms but in a simple form. −Pause for a minute and think what problem(s) exactly your work is trying to solve. −Designing x or building y is not solving a problem; what does that x or y will do to overcome some issues/challenges that we are facing today? 6
  • 7. 2. Why is this problem important? − It is not sufficient to only say the problem(s) that you are solving is very important. − You need some clear statements and evidence to show that the problem is an important one. − Working on a complex problem does not necessarily make it important, nor does linking it to a complex subject (but this will definitely make it harder and it will have a higher risk of failure). − Focus on the problem not the solution (at least, to begin with). 7
  • 8. 3. Who will benefit from this research? − Again you need to be specific and say who, what sectors, why and how these will benefit from your research. − This can be an applied or fundamental research; both are (hopefully) driven by curiosity; however: − Applied research: This can be linked to a popular (or unpopular) problem/issue related to economy, society and other technical and none-technical challenges that (hopefully) will benefit people and the cost (time, complexity, investment) of doing this will be worth the benefits. − Fundamental research: If you do pure science, you may argue how this will change the way we see (or perceive) the world. 8
  • 9. 4. How is this different from what has already been done? − You need to compare and contrast your work with some of the existing and well-known solutions. − If there are several papers/solutions/projects in the area of your work, you need to have some clear understanding of these and provide statements that stand out quickly; you should probably avoid generic statements. − You obviously need to support your claims with some practical evaluation/comparison. 9
  • 10. 5. What are (or will be) the key novelties? − Scientific research advancements. − Industry/use-case solutions that can benefit from this work (you need to explain what will be novel about them). − You can discuss how you have changed (or will change, if you are writing a proposal) the way that people look at a problem or view a domain. − You may propose a completely new product/service/algorithm/technology/… or something that no one has done and/or thought about before - but to make it interesting from a research point of view you need to say why it is new or better, compared to what is already out there. 10
  • 11. 6. Why is this a challenging research and development? − You need to clearly explain why simple or existing solutions won’t work or are not sufficient. − e.g. centralised solutions are not suitable for large scale … because they have large overhead, so we propose …. . − Justify why one should fund/support this research for x period with n number of people; or, if you are trying to publish your work, justify why this work has been so interesting and fascinating (painful?) that it deserves to be published. − Put simply, you need to show why an easy fix wouldn’t have worked. 11
  • 12. 7. What is the main impact(s) of this work? − Specific statements on how this will contribute to … and the well-being of people, society, safety, etc… and why this impact will be (or is) achieved by this work/project and not something else. − Otherwise everyone can say we have an impact on x, y, z,; it is very important to say why (and how). − Think of your work’s unique offerings. − Put yourself in your audience’s/customers’ shoes. 12
  • 13. 8. What will you require to do this work? − More funding, more help, … − You need to justify the resources that you are asking for and show why your work is worth it. − For proposals, you also need to explain why you believe the team that you have/propose is the best combination of people/expertise to deliver this. 13
  • 14. 9. What are the tangible outcomes? − What your results will look like. − What products and services you will offer by end of this project (at what TRL levels). − Discuss your plans to use/dissaminate the results. − If this is a paper: −Show demos/screenshots, −Add links to underlying data/code (if there are no IP/privacy issues), −Discuss the reproducibility of your results. 14
  • 15. 10. Who else could be involved? − Standardisation, − Stakeholders, user groups, − Other teams, other disciplines, your peers. − Think of a wider audience for your research. 15
  • 16. Be prepared for set-backs and failures 16
  • 17. 17
  • 19. “Anyone who has never made a mistake has never tried anything new.” Albert Einstein 19
  • 20. Fault tolerance in research −Do not compromise the quality and results, −However, be prepared for failures, −and have a recovery plan. 20
  • 21. “Fear is the main source of superstition, and one of the main sources of cruelty. To conquer fear is the beginning of wisdom”. -Bertrand Russell 21
  • 22. “Failure is so important. We speak about success all the time. It is the ability to resist failure or use failure that often leads to greater success. I’ve met people who don’t want to try for fear of failing.” J.K. Rowling 22
  • 24. Creativity…well it’s all hard work, good thinking and more work. 24
  • 25. Innovation vs. (Random) Alchemy 25 Image source: http://ljekc.deviantart.com/favourites/47171460/ALCHEMISTS
  • 26. Creativity − It is not equivalent to complexity − or obscurity − It’s the art of seeing things in a way that hasn’t been seen before. − Finding metaphors and explaining things using the new metaphors. − Looking and looking until you unlock the problem. 26
  • 27. When the poet Paul Valery once asked Albert Einstein if he kept a notebook to record his ideas, Einstein looked at him with mild but genuine surprise. "Oh, that's not necessary," he replied. "It's so seldom I have one.” - Bill Bryson A Short History of Nearly Everything 27
  • 28. A method for counting Canadian beavers from outer space 28
  • 29. “The world is full of obvious things which nobody by any chance ever observes.” Sherlock Holmes The Hound of the Baskervilles 29
  • 30. Web search in the early days 30
  • 31. And then came Google! 3131 Google says that the web has now 30 trillion unique individual pages;
  • 32. Technique vs. Problem Orientation −“No technical skill is worth more than knowing how to select an existing research project”. Peter J. Feibelman, A PhD is not enough −Focus on the problem; you can always learn the techniques. −And also know/learn the basics and principal concepts and theories in your field. 32
  • 33. On Problem Solving −“When you follow two separate chains of thought, Watson, you will find some point of intersection which should approximate to the truth.” – Sherlock Holmes, The Disappearance of Lady Frances Carfax −“Always approach a case with an absolutely blank mind. It is always an advantage. Form no theories, just simply observe and draw inferences from your observations.” Sherlock Holmes, The Adventure of the Cardboard Box 33
  • 34. “Never trust anything that can think for itself if you can’t see where it keeps its brain”. - Arthur Weasley in J. K. Rowling Harry Potter and the Prisoner of Azkaban 34
  • 36. Consensus − Scientific process relies on organised scepticism. − Your ideas and your work should be clear and reproducible. − Your work and ideas will become really useful if other people agree with them and use them. − Write/present them in accessible forms. − Make your underlying assumptions clear. − Make your data/results/code (depending on the IP/privacy/sensitivity) available. − Respond to queries and questions. 36
  • 37. Generosity in research −Be generous and make friends. −IP and protection are important. −But, research and innovation also come with sharing knowledge and discussing your work with your peers, −This will always keep you one step ahead… 37
  • 38. Find a good mentor − Someone who doesn’t see you as a competitor. − Don’t be shy about getting to know people outside your team. − Ask for help; everybody likes to give advice  − A good mentor can be a former advisor, a senior member in your institution, someone you meet at a conference (that’s why you should be well prepared for your conference/workshop talks and attend important talks at conferences and ask questions). 38
  • 39. Communication − Never send angry emails… − Never send emails while you are angry… − Always wait and don’t send emails if you cannot think rationally… − Sometimes if you wait enough an annoying matter (which at the time may seem to require immediate attention) will solve itself or will get solved; just be patient. Avoid the impulsive moment. 39
  • 40. Communication − Don’t threaten to leave your job (unless you already have a very good offer) and never leave (without having a better offer that is confirmed) just because you don’t like … or …. − Even if you decide to leave a place, always leave on good terms. − If you are upset find the right time (and the right person) and express your frustration but resist the temptation to talk about someone who is not present. 40
  • 41. Prioritise − You need to set your own targets; who you want to be, where you want to be. − There is a lot that you are capable of doing and there are lots of things that you may be asked to do (or volunteer for); but always think about their importance and your obligations. − Don’t overdo it, and don’t avoid helping others - have some priorities. − Learn to say “No” – thank you for your invitation. I appreciate your interest in our work, but unfortunately I am overcommitted at the moment. 41
  • 42. Prioritise − If you are involved in a collaborative project/meeting/discussion/proposal that seems to be going nowhere, politely (and slowly) reduce your involvement. − You are in academia so there must always be some meetings, teaching obligations, tutorials, lab supervision that [can] overlap with the (group in question's) meeting. − Before saying “Yes” think: 1) do I have time for this? 2) is this really important? 3) Will I or someone else will benefit from this? 42
  • 43. Get your priorities straight and revisit them from time to time. 43
  • 44. Work with your peers − Help them because one day you may need their help. − Try to find a group of people with whom you would genuinely like to work and collaborate over time; from your discipline and other disciplines as well. − But, have clear targets; if you only meet and talk and never get anything tangible done, you will get tired and others may get tired of you (the latter is more dangerous). 44
  • 47. Giving talks − Know your work. − Be well prepared. − Respect the time and focus on the key points. − Avoid self-promotion; your work should speak for itself. − Understand and respect the needs/interests of your audience. − Your talk is for your audience not for you; so think and investigate what it will be important for your audience to learn/know. Put yourself in their shoes and think what you would expect/want to see or hear. 47
  • 48. Giving talks – Q&A − Appreciate the audience’s time and attention. − Don’t be too defensive (or aggressive). − Listen to the questions and answer them to the best of your knowledge/ability. − If you don’t know the answer, give a response based on your analysis but say that you don’t know the exact answer to the question… − Some people may come across as aggressive or ask their question in a way that makes you uncomfortable; the audience will hear and feel this so just be cool and try to answer the question with logical statements and according to scientific facts and evidence. 48
  • 49. A Career in Academia − Establish a reputation for your work (different from trying to become famous- this can come later). − Make friends and show that you are willing to work with others. − Study the department(s)/group(s) that you would like to join and see what are their key criteria for hiring academic members. − Have a web presence. − Be a good citizen of your field/community (but don’t overdo it). − Show interest in teaching and try to gain some experience (TA, Tutorials, talks). 49
  • 50. A Career in Academia − Create a vision for your future research and align it with the priorities of funding bodies (and talk about this in your interview and/or whenever suitable with your Manager, HoD, Dean, Provost for research, …). − Be prepared to attract research/industry funding. − Interact with people- sometimes calling someone on the phone or offering to go and meet them personally can turn out to be really, really, helpful. − Stay out of office politics if you want to do something interesting. 50
  • 51. Publications “Words are, in my not-so-humble opinion, our most inexhaustible source of magic”. J. K. Rowling, Harry Potter and the Philosopher’s Stone. 51
  • 52. Publications −Choose the right journal/conference. −You need to publish a certain number of papers but quality is more important. −People spend their time reviewing/reading your papers; respect their time and effort and write something pleasant to read, that the readers will learn from and will find interesting. 52
  • 53. Publication −Talk about the limitations of your work and link these limitations to the direction of your future research. −In your discussion/conclusions, if you can, talk about the lessons that you have learned (and mistakes that you made during the work). −Make sure your claims are reproducible. −Acknowledge other people’s contributions. 53
  • 54. Survival Checklist − Consider your audience - their interests, priorities, … − Be a resourceful colleague/collaborator but also learn to say “No”. − Define your priorities. − Meet and network with people within and also outside your discipline. − Create a plan for your publications and target key events. − Apply for funding (consider the 10 questions that we discussed earlier). − Remember and remind yourself of your goals. 54
  • 55. Acknowledgements − Several people have contributed to the thoughts and discussions related to this talk, including Prof Amit Sheth, Atti Emecz, Prof Hamid Aghvami of King’s College London, my students: Yasmin Fathy, Daniel Puschmann, Nikos Papachristou and many other friends and colleagues. − Some parts of the slides are adapted from Peter J. Feibelman’s “A PhD is Not Enough” (one of my favourite books), Ray Kurzweil’s “How to Create a Mind”, NPR’s Shankar Vedantam and his “Hidden Brian” Program, NPR’s Guy Raz and his “TED Radio Hour” program and several brilliant speakers at TED. 55
  • 56. Desire for innovation 56 Driverless Car of the Future (1957) Image: Courtesy of http://paleofuture.com
  • 57. Q&A Thank you for your attention. web: https://www.imperial.ac.uk/people/p.barnaghi twitter: @pbarnaghi
  • 59. Giving talks − Often you don’t need to show an agenda. − If you are showing graphs, at least say why you are showing them and highlight the important points. − Show mathematical equations and complex formulas only and only if you don’t have anything else interesting to show (unless maths is your field of work). − The opening to your talk is important. 59
  • 60. Giving Talks − Practice and practice. − Be prepared. − Slides should look professional. − If it is for a job interview, learn about your audience, their work, interests; link your work to some of their projects and work. [Indirectly] tell them why you think your expertise will be valuable and will complement their work. − Don’t oversell/over-promote your work but at the same time don’t be too humble. − Be enthusiastic about your work. 60
  • 61. Giving talks − Talks for job interviews, your colleagues and collaborators, conference/workshops and public talks. − Use your time efficiently and do not overestimate or underestimate your audience. − Provide some basic information about your work. − Tell a good story; something that people will follow and engage with. 61
  • 62. Use humour (if you can) but don’t be offensive 62 Image source: Stocky, NPR
  • 63. Institutionalised Conflict − People (read managers) [may] make mistakes; sometimes these mistakes [may] hurt other people. − Competition can cause conflict. − Differences of opinion, and different methods and approaches to solving/addressing the problem can cause conflict. − “Successful collaboration is possible when one or both contributors have established reputations, or when each researcher brings a different identifiable skill to the collaborative project”. 63
  • 64. Publications −They will stay in libraries and most probably be accessible for ever. −So think about this when you submit them. −This shouldn’t discourage you from sending an early stage work; but be precise and clear. −Remember, your students and colleagues may read your work in the future; or you may even read it yourself one day. 64
  • 65. A Research Career in Industry − You can probably get a permanent job (if there is anything like this anymore) more quickly. − Your job description will probably be simpler than your academic friends. − You will work in a “managed” environment. − Your research will most probably be around your company’s field of work and interests. − Depending on the company’s interest, you may be asked to generate patents, applications, demos, or papers. Try to find out about this before you join and see if that’s what you are interested in. 65
  • 66. Links and sources − Twenty things I wish I’d known when I started my PhD − https://www.nature.com/articles/d41586-018-07332- x?error=cookies_not_supported&code=7df2c56b-d6fe-4e58- 9386-6f9994bfc81a − Done is better than perfect: overcoming PhD perfectionism − http://blogs.nature.com/naturejobs/2018/07/09/done-is-better- than-perfect-overcoming-phd-perfectionism/ − “Thinking Fast and Slow”, Daniel Kahnemann. 66