This document provides guidelines for writing research reports and presentations. It discusses types of primary and secondary research. It outlines various ways to organize ideas in a report, including chronological, spatial, classification, and causal-effect orders. The structure of a research report is also described, including sections for the title page, table of contents, summary, introduction, results, conclusion, and recommendations. Guidelines are provided for writing style, formatting, and referencing. Tips are also given for oral presentations, including rehearsal, use of visual aids, and handling questions. Criteria for evaluating presentations and rules for creating tables and diagrams are also outlined.
Bibliometric visualization using VOSviewerLudo Waltman
Presentation at the workshop Research Output & Impact – New Tools and Concepts, organized at Technical University Denmark. Lyngby, Denmark, September 14, 2017.
Bibliometric visualization using VOSviewerLudo Waltman
Presentation at the workshop Research Output & Impact – New Tools and Concepts, organized at Technical University Denmark. Lyngby, Denmark, September 14, 2017.
How to write (and publish) a literature reviewMarcel Bogers
How to write (and publish) your literature review? This presentations distinguishes between three types and purposes of "review": (1) a literature review, as part of an empirical study; (2) a stand-alone review article; and (3) a conceptual or theoretical (non-empirical) article. For each of theses types, it gives an overview of considerations for getting done and published (or rejected).
Bibliometrics literally means "book measurement" but the term is used about all kinds of documents (with journal articles as the dominant kind of document).
What is measured are not the physical properties of documents but statistical patterns in variables such as authorship, sources, subjects, geographical origins, and citations.
This basically covers the aspects of Research Uptake and Knowledge Translation which will be useful to those who are interested in health communication and uptake of research evidence to different audiences in Public or Private sectors.
Presentation of findings on Bibliometrics; description, methods with examples, advantages and disadvantages. Methods: Citation counts, Publication counts, H-index and Journal Impact Factor (JIF).
Resources used are shared, please use them.
OBJECTIVES:
To understand the importance of publication and its challenges.
To increase the visibility and accessibility of published papers.
To increase the chance of getting publications cited.
To disseminate the publication by using “Research Tools” effectively.
To increase the chance of research collaboration.
How to Plan and Develop Information Literacy Programmes in SchoolsEmpatic Project
Presentation by Prof. Dr. Serap Kurbanoglu
Hacettepe University
Department of Information Management
Venue: Empatic International Workshop - Schools Sector in Krakow, Poland
Date: 8 June 2011
Open Access and Author Rights presentation for UIS faculty and staff includes information on author amendments, NIH initiatives, digital repositories, and other scholarly communications issues.
How to write (and publish) a literature reviewMarcel Bogers
How to write (and publish) your literature review? This presentations distinguishes between three types and purposes of "review": (1) a literature review, as part of an empirical study; (2) a stand-alone review article; and (3) a conceptual or theoretical (non-empirical) article. For each of theses types, it gives an overview of considerations for getting done and published (or rejected).
Bibliometrics literally means "book measurement" but the term is used about all kinds of documents (with journal articles as the dominant kind of document).
What is measured are not the physical properties of documents but statistical patterns in variables such as authorship, sources, subjects, geographical origins, and citations.
This basically covers the aspects of Research Uptake and Knowledge Translation which will be useful to those who are interested in health communication and uptake of research evidence to different audiences in Public or Private sectors.
Presentation of findings on Bibliometrics; description, methods with examples, advantages and disadvantages. Methods: Citation counts, Publication counts, H-index and Journal Impact Factor (JIF).
Resources used are shared, please use them.
OBJECTIVES:
To understand the importance of publication and its challenges.
To increase the visibility and accessibility of published papers.
To increase the chance of getting publications cited.
To disseminate the publication by using “Research Tools” effectively.
To increase the chance of research collaboration.
How to Plan and Develop Information Literacy Programmes in SchoolsEmpatic Project
Presentation by Prof. Dr. Serap Kurbanoglu
Hacettepe University
Department of Information Management
Venue: Empatic International Workshop - Schools Sector in Krakow, Poland
Date: 8 June 2011
Open Access and Author Rights presentation for UIS faculty and staff includes information on author amendments, NIH initiatives, digital repositories, and other scholarly communications issues.
This presentation looks at some of the presenting issues for Third-Level students who are studying for a Masters Degree or Doctorate. It has a particular focus on the 'adult' learner or 'mature student'.
introduction to research and healthcare study designs, a focus on Qualitative research and the qualitative data analysis.
Presented by Clinical Pharmacists Ahmed Nouri, PharmD
Writing, Editing and Formatting of Research manuscriptFortune Effiong
This presentation cuts across:
Topic development and appraisal
How to read academic papers
The concept of plagiarism and how to avoid it
Paraphrasing
Citation/Referencing
Editing of manuscript
Formatting of manuscript
Research trends in language linguistics and literaturevijay kumar
This presentation was delivered at a short term training programme. The presentation is about the niche areas of research in Language Linguistics and Literature.
Braun, Clake & Hayfield Foundations of Qualitative Research 1 Part 1Victoria Clarke
This is the first of a three-part lecture on the foundations of qualitative research. This lecture provides an accessible introduction to qualitative research for those new to qualitative research. A key distinction is made between an understanding of qualitative research as comprising tools and techniques for collecting and analysing qualitative data and an understanding of qualitative research as involving both qualitative tools and techniques, and research values or philosophy. The lecture then considers some of the distinctive characteristics of a qualitative philosophy includes a focus on meaning in context. This lecture is followed by Foundations of Qualitative Research 2, also in three parts, which introduces some of the concepts (and more complex terminology) associated with qualitative research.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
3. Types of Research
• Primary research involves gathering new
ideas and information on your own.
• Secondary research involves gathering
and analyzing the results of other people‟s
primary research.
4. Ways to Relate Ideas
• Chronological order: from first event to last
event or from last event to first event.
• Spatial order: by arrangement in space.
• Classification: in groups sharing similar
properties or characteristics.
• Order of degree: according to
importance, value, interest, obviousness, certain
ty, or similar quality.
• Cause-and-effect order: from cause to effect or
from effect to cause.
5. • Comparison-and-contrast order: from similarities to
differences or from differences to similarities.
• Analytical order: according to parts and relationships
among the parts.
• Inductive order, or synthesis: from specific
examples to generalizations based on those
examples.
• Deductive order: from general to specific
conclusions.
• Order of impression, or association: according to
the sequence in which things strike one‟s attention.
• Hierarchical order: from class to subclass (group
within a class) or from subclass to class.
6. 6
The Research Report
– Title page
– Table of contents
– Summary
– Introduction
– Results
– Conclusion
– Recommendations
– Introduction
– Body
– Methodology
– Results
– Discussion
– Conclusions, Limitation and recommendations
– Appendix
– Questionnaire
– Sampling methodology and definition
– Other tables not in the report
– Bibliography
• Completeness
• Accuracy
• Clarity
7. • Organization of the report:
– Preliminary pages:
title page, page with signature
of guide & Head of
Institution, acknowledgement,
table of content, list of
tables, list of figures.
7Dr. R S Mehta, MSND, BPKIHS
8. Main body:
•Chapter I: Introduction:
Background, need or
justification, problem
statement, objectives, definition
terms/operational
definitions, conceptual
framework, variables, hypotheses, assu
mptions, delimitations, organization of 8Dr. R S Mehta, MSND, BPKIHS
9. •Chapter II:Review of
research literature in
relevant sections related
to the problem; at the end
give a summary.
9Dr. R S Mehta, MSND, BPKIHS
10. • Chapter III: Methodology:
Research
approach, setting, population
sample size and
technique, development of tools –
reliability, validity, objectivity, pretest
ing, pilot study, procedure for data
collection and plan of analysis.
10Dr. R S Mehta, MSND, BPKIHS
11. • Chapter IV: Data
analysis & interpretation:
Organization of analyses
according to the objectives
and hypotheses; use tables
and graphs.
11Dr. R S Mehta, MSND, BPKIHS
12. • Chapter V:
Summary, discussion, conclusio
n, implication and recommendation
• References, Bibliography:
Use approved reference style
• Appendices
12Dr. R S Mehta, MSND, BPKIHS
13. Writing Style
• Use past tense for chapter I to III.
For chapter IV use past or present
tense appropriately e.g. "data were
analyzed", "data are presented in
table 1"
• Write in third person
• Use approved abbreviations
only, "e.g., i.e.”
13Dr. R S Mehta, MSND, BPKIHS
14. • Do not begin a sentence with a number
e.g. "40% of mothers were anemic"
instead write "Forty percent of mothers
were anemic".
• Any number that is less than ten is
written in words, e.g. "One out of six
patients …….. "
• Write short sentences, Avoid
compound sentences.
• Avoid long paragraphs.
14Dr. R S Mehta, MSND, BPKIHS
15. Guidelines:
• Double space
• Page Number:
- Preliminary Pages: roman small- I, ii, iii etc
- Text: from CH- I, - Arabic- 1, 2, 3 etc till last
• Table No-1, 2, ( Table 1) with title just
below and centre, above table.
• Appendix before references
• References at last
15Dr. R S Mehta, MSND, BPKIHS
16. Guidelines:
• Font size: TNR
- title: 16
- Other title and main heading: 14
- Body of text: 12
- Read APA Guidelines for writing
• References: only relevant and cited sources
• Bibliography: Consulted Materials
• Follow: APA guidelines
16Dr. R S Mehta, MSND, BPKIHS
17. Guidelines:
• Final Copy:
- Type in one side
- 16-20 bond quality paper, size A-4
- Use black ink only, use, Times New Roman Font only
- Free of Mistakes and Correct Spelling and
Punctuation
- Number of copies: 7 = original copy photocopied.
- Final binding after approval from guide
- Uniformity: Color of binding, formats, writing,
references of All students (VVI)
17Dr. R S Mehta, MSND, BPKIHS
19. Oral Presentations
• Art of communicating effectively
• Individual difference/uniqueness
• Last is first: the summary or conclusion slide, no
more than five key slides
• All preparations should be before 15 minutes
• Keep focus on message
• Do not memorize your presentations
• Explain using points
• Wear appropriate dress: avoid over/under
20. Oral Presentations…
• Pace your self: avoid too slow or too fast,
give at least 10 seconds per slide
• Necked audience: fear in presenting large
group is more than death, concentrate and
relax
• Control your audience not computer/A-V
aids
• Deferring questions: you are the best judge
to decide how to handle
• Measuring your audience: eye contact
21. Oral Presentations…
• The power of language: to express ideas
• Humor: use judiciously
• Quotations: only appropriates
• The audience is sacred : respect them
• Finish: early/on time
• Practice: makes men perfect
22. Five things to do:
Rehearse
1. Find out: interesting, memorable &
confusing
2. Test all your equipment in advance
3. Include necessary contents only
4. Have a backup plan: alternatives
5. Introduction, objectives, results &
conclusion
23. Five things your audience to
do
1. Stay awake
2. Receive the information they
seek
3. Get your message
4. Use supporting materials for
clarity
5. Act on your information
24. Five things to do when you
finish:
1. Thank them
2. Make materials available
3. Make your self available
4. Provide them with a method of reaching you
5. Get feedback: for improvement
Review your last presentation and correct it.
25. VIVA VOICE
• Viva voce is an oral examination conducted
by word of mouth.
• Examines the competencies of researcher.
• The examiner can see:
- whether it‟s your own work?
- whether you understand what you did?
- whether it‟s worth: contribution to
knowledge
26. VIVA VOICE…
• Preparing for viva: before you submit
• Preparing for viva: after you submit
• Personal preparation
• Possible viva questions: make ready to
answer
27. Research Presentation Evaluation Criteria
SN Criteria
1 Tile of the study
2 Significance or need of the study
3 Objective of the study /Hypothesis & literature review
4 Methodology (brief):
Design
Settings/place
Population
Sample and sample size
Sampling methods
Research tool (validity reliability):
5 Findings/Results – (only related major findings)
6 Recommendations
7 Presentation
Dr. R S Mehta, MSND, BPKIHS
27
Time: 20 Minutes presentation
5 minutes discussion
Comment:
28. Report Writing: Review
• One idea per sentences only
• Not more than 20 words per sentences
• Not more than 5 sentences per paragraph
• Not more than 3 paragraph per heading
• Do not use that or which more than one
per sentences
• Check spelling and grammar
• Acknowledge: original source
29. RULES FOR MAKING A TABLE
1. Should be self explanatory
2. Should always have table number & title
3. Names of the variables (units) must be
mentioned
4. Choice of row and column
5. Number should always add to the group
total
30. • Percentages should be rounded to make
total 100.0
• Number of digits after the decimal
place(output)
• Table and text could co-exist on the same
page
• For binary variable, one category and the
total can be given
• For quantitative variable, specify (mean,
SD, median, range, etc.)
RULES FOR MAKING A TABLE (contd.)
31. RULES FOR MAKING A DIAGRAM
1. As simple as possible and self-explanatory
2. Mostly to show important points
3. Table followed by a diagram, not advisable
4. Must specify: names of variables, units,
legends
5. Like tables, graph and text can be on the
same page
6. Golden rule is that it should speak by itself
33. Dr. R S Mehta, MSND, BPKIHS 33
Plagiarism: Catching the Cheats
34. Dr. R S Mehta, MSND, BPKIHS 34
•Deliberate plagiarism is cheating.
•Deliberate plagiarism is copying the work of others
and turning it as your own.
•Whether you copy from a published essay, an
encyclopedia article, or a paper from a fraternity's
files, you are plagiarizing.
•If you do so, you run a terrible risk. You could be
punished, suspended, or even expelled.
35. Dr. R S Mehta, MSND, BPKIHS 35
•The verbatim copying of others work
without acknowledgement.
• The close paraphrasing of others
work by simply changing a few words
of altering the order of presentation.
• The unacknowledged quotation of
phrases.
36. Dr. R S Mehta, MSND, BPKIHS 36
Catching the Cheats
37. Dr. R S Mehta, MSND, BPKIHS 37
Turnitin Programme: The turnitin software
programme is widely available for originality checking and
submitting the online assignments of the student to their
concerned teachers.
This programme has the facilities of assignment submission
on online, originality checking, peer marking, grading the
assignments, marking the assignment and feedback the
students.
This programme requires individual user account and
passwords. Now a day in western universities it is commonly
used and in India it‟s use is rapidly increasing.
The detail of the programme and online audiovisual
demonstration is available at www.turnitin.com
38. Dr. R S Mehta, MSND, BPKIHS 38
iThenticate Programme:
This programme iThenticate has the facilities of
Plagiarism or Duplication prevention, IP
Protection, and Doc-to-Doc Comparison.
iThenticate offers the ultimate in context
verification technology, whether ensuring contents
integrity, discouraging, misappropriation of
property content or performing textual comparison
between documents
39. Dr. R S Mehta, MSND, BPKIHS 39
Cross-Check received the Association
for Learned and Professional Society
Publishers Award for Publishing
Innovation in 2008.
The details of the programme
iThenticate along with audiovisual
demonstration is available at
www.lithenticate.com
41. Top-10 tips for writing a paper
41Dr. R S Mehta, MSND, BPKIHS
42. • what is the “elevator pitch” of your story?
1: Every paper tells a story
• the story is not what you did, but rather
– what you show, new ideas, new insights
– why interesting, important?
• why is the story of interest to others?
– universal truths, hot topic, surprises or
unexpected results?
• know your story!
elevator pitch = summary that is short enough
to give during an elevator ride
42Dr. R S Mehta, MSND, BPKIHS
43. 2. Write top down
• computer scientists (and most human
beings) think this way!
• state broad themes/ideas first, then go into
detail
– context, context, context
• even when going into detail … write top
down!
43Dr. R S Mehta, MSND, BPKIHS
44. 3 Introduction: crucial, formulaic
• if reader not excited by intro, paper is lost
• recipe:
– para. 1: motivation: broadly, what is problem area,
why important?
– para. 2: narrow down: what is problem you
specifically consider
– para. 3: “In the paper, we ….”: most crucial
paragraph, tell your elevator pitch
– para. 4: how different/better/relates to other work
– para. 5: “The remainder of this paper is structured
as follows”
44Dr. R S Mehta, MSND, BPKIHS
45. 4. Master the basics of organized writing
• paragraph = ordered set of topically-related
sentences
• lead sentence
– sets context for paragraph
– might tie to previous paragraph
• sentences in paragraph should have logical
narrative flow, relating to theme/topic
• don‟t mix tenses in descriptive text
• one sentence paragraph: warning!
45Dr. R S Mehta, MSND, BPKIHS
46. 5. Put yourself in place of the reader
• less is more:
– “I would have sent you less if I had had time”
– take the time to write less
• readers shouldn‟t have to work
– won‟t “dig” to get story, understand context, results
– need textual signposts to know where „story” is
going, context to know where they are
• good: “e.g., Having seen that … let us next develop a model for
…. Let Z be ….”
• bad: “Let Z be”
• what does reader know/not know, want/not want?
– write for reader, not for yourself
46Dr. R S Mehta, MSND, BPKIHS
47. 6. Put yourself in place of the reader
• page upon page of dense text is no fun to
read
– avoid cramped feeling of tiny fonts, small
margins
– create openess with white space: figures, lists
• enough context/information for reader to
understand what you write?
– no one has as much background/content as you
– no one can read your mind
– all terms/notation defined? 47Dr. R S Mehta, MSND, BPKIHS
48. 7. No one (not even your mother) is
as interested in this topic as you
• so you had better be (or appear) interested
• tell readers why they should be interested in
your “story”
• don‟t overload reader with 40 graphs:
– think about main points you want to convey with
graphs
– can‟t explore entire parameter space
• don‟t overload reader with pages of equations
– put long derivations/proofs in appendix, provide
sketch in body of paper
48Dr. R S Mehta, MSND, BPKIHS
49. 8. State the results carefully
• clearly state assumptions (see
overstate/understate your results)
• experiment/simulation description: enough info
to nearly recreate experiment/description
• simulation/measurements:
– statistical properties of your results (e.g., confidence
intervals)
• are results presented representative?
– or just a corner case that makes the point you want to
make
49Dr. R S Mehta, MSND, BPKIHS
50. 9. Don’t overstate/understate
your results
• overstatement mistake:
– “We show that X is prevalent in the Internet”
– “We show that X is better than Y”
when only actually shown for
one/small/limited cases
• understatement mistake: fail to consider
broader implications of your work
– if your result is small, interest will be small
– “rock the world”
50Dr. R S Mehta, MSND, BPKIHS
51. 10. Study the art of writing
• writing well gives you an “unfair advantage”
• writing well matters in getting your work
published in top venues
• highly recommended:
– The Elements of Style, W. Strunk, E.B. White,
Macmillan Publishing, 1979
– Writing for Computer Science: The Art of Effective
Communication, Justin Sobel, Springer 1997.
• who do you think are the best writers in your
area: study their style
51Dr. R S Mehta, MSND, BPKIHS
52. 11. Good writing takes times
• give yourself time to reflect, write, review,
refine
• give others a chance to read/review and
provide feedback
– get a reader‟s point of view
– find a good writer/editor to critique your writing
• starting a paper three days before the
deadline, while results are still being
generated, is a non-starter
52Dr. R S Mehta, MSND, BPKIHS