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Mediocre to Memorable Effectively designing slides for science
www.smarttalksuccess.com/stitcher
featured in:
www.lisabmarshall.com/stitcher
Do you know what happens
to your attention during a presentation?
The speaker is being introduced
Time
Interest
Low
HighHigh
You’re just settling in…
Time
Interest
Low
HighHigh
“Oh, the presentation started!”
Time
Interest
Low
HighHigh
“Oh, that reminds me …”
…the mind vacations begin
bad delivery+
unclear organization+
poorly designed slides
Time
Interest
Low
HighHigh
Sleep
…and the speaker drones onand on, and on,and on, and on, and on,and on,
and on, and on,and on,
and on…
Time
Interest
Low
HighHigh
Coma
Time
Interest
Low
HighHigh
Coma
…until two magic words
Time
Interest
Low
HighHigh
“in conclusion…”
Unfortunately this isn’t far
from the truth!
Top 5 Annoyances
(Pardi, 2013)
Top 5 presentation annoyances
72% Reading slides aloud
(Pardi, 2013)
The Redundancy Principle:Redundant material interferes with learning
(Hoffman, 2006)
• Help our consumers make informed dietary choices through trusted sources via kelloggsnutrition.com
• Website for healthcare professionals with latest research/resources for patients
• Topics ranging from breakfast and fiber to digestive health and weight management
Spreading the Word on Nutrition
• Help our consumers make informed dietary choices through trusted sources via kelloggsnutrition.com
• Website for healthcare professionals with latest research/resources for patients
• Topics ranging from breakfast and fiber to digestive health and weight management
Spreading the Word on Nutrition
Don’t create presentation
slides as notes or the report
Spreading the Word on Nutrition
We want to help our consumers make informed dietary choices, and we know health care professionals are among the most trusted sources of nutrition information. That is why we launchedkelloggsnutrition.com, a website for health care professionals, in 2012 and expanded it to more regions globally in 2013. The website
serves as a resource for health careprofessionals who are looking to stay current on the latest research or who are seeking resources to share with patients and clients.The site provides updated summaries of research on topics ranging from breakfast and fiber to digestive health and weight management
Spreading the Word on Nutrition
51% Text too small to read
(Pardi, 2013)
48% Full sentences
(Pardi, 2013)
26% Poor color choices
(Pardi, 2013)
High contrast is best
for text and background
Consider psychology
Red/green blindness
is very common…
[Change red dots to red X’s]
31% Overly complex diagrams
F OH E
L LO WT
MinimumEssential
Data
Let’s look at
process
Skeletal Defects in PcG Mutants
Suzuki, et al. (2002) Development 129(18):4171-83
wildtype Mutant 1 Mutant 2 Mutant 3
Skeletal Defects in PcG Mutants
Suzuki, et al. (2002) Development 129(18):4171-83
wildtype Mutant 1 Mutant 2 Mutant 3
Consider the science
Prune and condense
Skeletal Defects in PcG Mutants
Suzuki, et al. (2002) Development 129(18):4171-83
wildtype Mutant 1 Mutant 2 Mutant 3
(Suzuki, et al. 2002)
Wildtype Mutant
Skeletal defects found in PcG mutants
(Suzuki, et al. 2002)
Wildtype Mutant
Skeletal defects found in PcG mutants
Additions needed for clarity
• Does the title make the main point?
• Where do I want the eyes to go?
Is silencing PcG important in mammals?
(Suzuki, et al. 2002)
Wildtype Mutant
Skeletal defects found in PcG mutants
main point per slide
1
ORANGE ALERT means immediate truce
Use “billboard” design
“Headline” titles and takeaways
Guide eyes to important stuff
Mix of image and text
High contrast color
Sans-serif font
Assertion-evidence structure
Assertion in the form of a sentence headline title
(Alley et. al, 2007)
Visual
Evidence
Assertion-evidence structure
Reaching trusted advisors via KelloggsNutrition.com
Most people start with
visual evidence,
then add a title…
Results (1/4)
Unfortunately this type
of title is common, right?
Photo of mouse with helmet
…and this type is
even more common
Photo of mouse with helmet
But…descriptive titles don’t
communicate the meaning!
Never give up!
Instead, use the title
to make your point…
Helmets save lives???
…or your audience
may make the
wrong conclusion!
Express the “so what?”
(not the what)
Success =creativity + determination!
Start with a blank slate
What do you want the
audience to remember?
Let’s look at
an example
Assertion-evidence structure
Assertion-evidence structureStart with the “so what”
Next, choose the best
possible visual evidence
Let’s look at more examples
What leads to motor neuron degeneration in SMARD1?
3 weeks 4 weeks
Fading Nissl staining suggests arrest of protein translation
Question, evidence,
assertion
How do we detect cross-talk between PTMs?
A question before evidence
can aid understanding
Re-infestation certain in three years
Takeaway indicates meaning
B A S I C
A a A A
How to makeChoose theRIG
HTfont
The quick brown fox...Verdana
The quick brown fox…ArialThe quick brown fox…Tahoma
The quick brown fox...Trebuchet
The quick brown fox…Times New Roman
The quick brown fox...Century GothicThe quick brown fox…Calibri
The quick brown fox…Comic Sans
The quick brown fox…Georgia
What is the BEST font for science?
The quick brown fox...Verdana
The quick brown fox…ArialThe quick brown fox…Tahoma
The quick brown fox...Trebuchet
The quick brown fox…Times New Roman
The quick brown fox...Century GothicThe quick brown fox…Calibri
The quick brown fox…Comic Sans
The quick brown fox…Georgia
What is the best font for science?What is the BEST font for science?
74
TEXT
Play with
75
PLAYEMPHASIS
with text for
76
with text for Play EMPHASISEMPHASISEMPHASIS
with text for
Use METAPHORICAL images
79
DON’T USE ALL CAPITALS
[It makes it difficult to read!]
80
Don’t mix font types
What leads to motor neuron degeneration in SMARD1?
3 weeks 4 weeks
Fading Nissl staining suggests arrest of protein translation
Use sentence case
82
Use initial caps on bullets
83
• Use standard bullets
Hot Oats/Porridge/NutriGrain Beverage
Nutrigrain Beverage: With 9.5 grams of protein and 4.2 grams of fiber in 250 mililiters.
Hot Oats:2 Savory versions of Heart to Heart Oats made with 100 whole grain oats.
Don’t repeatPorridge:2 All-Bran Instant Porridge offer 1/3 of daily fiber requirements and is 2nd hot cereal.
MinimumEssentialGraphs
(Principae, 2009)
Example of bad graphfrom Jean-Luc Dumount, Principae
(Principae, 2009)
Principae pruning process
• Data lines better contrasted• Non-data lines grey • Position labels near data• Relevant ticks marks only
(Principae, 2009)
Minimum essential graphby Jean-Luc Dumount, Principae
Let’s look at examples
Platelet activation in WB with KKO agonist
Control PF4 ADP 10ul TRAP 6 Convulxin PF4 + KKO
0
2000
4000
6000
8000
10000
12000
14000
16000P sel MFIAnnexin MFI
Control PF4 ADP 10ul TRAP 6 Convulxin PF4 + KKO0
20
40
60
80
100
120P sel % +
Ann % +
Before
What is the relative strength KKO in presence of PF4compared to other established platelet agonists?
0
2000
4000
6000
8000
10000
12000
14000
16000
Control PF4 ADP 10ul TRAP 6 Convulxin PF4 + KKO0
20
40
60
80
100
120
Mean fluorescence Percent Positivity
PF4/KKO second to Convulxin
P SelP Sel %
Bar graph
Taste Chocolate Flavor Cinnamon Flavor Hardness0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
8
31
17
6
74
56
60 80
1813
23
15
Too MuchJARNot Enough
Minimumessential
graphs require“builds”(sometimes)
Meet the PcG Complexes
PRC 2~600 kDa
RPD3
N55E(z)
Su(z)12
EscPcl
PRC 1~ 2MDa
PcPsc
Sce
zesteScm
Ph
Initiation Maintenance
Meet the PcG Complexes
PRC 2~600 kDa
RPD3
N55E(z)
Su(z)12
EscPcl
PRC 1~ 2MDa
PcPsc
Sce
zesteScm
Ph
Initiation Maintenance
Points speaker made:
• Each protein complex is made up of multiple distinct subunits
• All subunits are required • Silencing requires both complexes (this was the main point)
Meet the PcG Complexes
PRC 2~600 kDa
RPD3
N55E(z)
Su(z)12
EscPcl
PRC 1~ 2MDa
PcPsc
Sce
zesteScm
Ph
Initiation MaintenanceTitle does not convey
the main point
Meet the PcG Complexes
PRC 2~600 kDa
RPD3
N55E(z)
Su(z)12
EscPcl
PRC 1~ 2MDa
PcPsc
Sce
zesteScm
Ph
Initiation MaintenanceSome details not required
to make the main point
Meet the PcG Complexes
PRC 2~600 kDa
RPD3
N55E(z)
Su(z)12
EscPcl
PRC 1~ 2MDa
PcPsc
Sce
zesteScm
Ph
Initiation MaintenanceColor suggests a connection
where there isn’t one
Let’s look at the “re-do”
PcG complexes PRC1 and PRC2
Multiple distinct sub-units
PRC2PRC1
PcG complexes PRC1 and PRC2
All sub-units are required – team effort
PRC2PRC1
Both PcG complexes PRC1 and PRC 2 are required for silencing
PRC2PRC1
Metabolic dysfunction induced by post-prandial hypoglycemia facilitates obesity
30 60 90 12055
95
135
175
Glu
cose
Use builds when
stepping through data
Metabolic dysfunction induced by post-prandial hypoglycemia facilitates obesity
30 60 90 12055
95
135
175
Glu
cose
Most cases are hyperinsulinemic
30 60 90 1200%
50%
100%
Ins
/ Glu
55
95
135
175
Glu
cose
Resolution of post-prandial hypoglycemia improves obesity outcomes over 18 mos
55
95
135
175
Glu
cose
30 60 90 1200%
50%
100%
Ins
/Glu
Aversive Olfactory learning
Session 1
Experimental Design
Olfactory Screening
Set Shock
Baseline
Anxiety STICSA
Specific anosmia
State–Trait Inventory for Cognitive and Somatic Anxiety(Ree et al., 2000)
Aversive Olfactory learning
Session 1
Experimental Design
Olfactory Screening
Set Shock
Baseline
Anxiety STICSA
Specific anosmia
State–Trait Inventory for Cognitive and Somatic Anxiety(Ree et al., 2000)
Process steps should be
horizontal if possible
State-Trait inventory for cognitive and somatic anxiety
Session1 Olfactory
ScreeningSet ShockBaseline
Anxiety STICSA
Specific anosmia
(Ree et al., 2000)
Visual analogous scale used to collect perceptual ratings
Session1 Olfactory
ScreeningSet ShockBaseline
Anxiety STICSA
Specific anosmia
Use expanded callouts to
highlight important details
Visual analogous scale used to collect perceptual ratings
Session1 Olfactory
ScreeningSet ShockBaseline
Anxiety STICSA
Specific anosmia
Don’t include verbal transitions
M O R ES L I D E
The title slide
All titles require
manual, natural breaks
Title for the audience
Multi-scale dispersal patterns of Triatoma infestans
Corentin M. Barbu, Karthik Sethuraman, Jen Manne, Javier E. Quintanila Calderon, Michael Z. Levy
University of Pennsylvania – Universidad Peruana Cayetano-Heredia
How we added enzymatic function to de novo proteins
1.Review analysis of the structure
2.How we created the active site by trimming side chain residues
3.How we stabilized our design by reengineering the turn
The “preview map” slide
(for longer talks)
Outline
1.Background: structure
2.Methods: active site
3.Results: our design
Not a generic outline
How we added enzymatic function to de novo proteins
1.Review analysis of the structure
2.How we created the active site by trimming side chain residues
3.How we stabilized our design by reengineering the turn
Notice the “headline” title
How we added enzymatic function to de novo proteins
1.Review analysis of the structure
2.How we created the active site by trimming side chain residues
3.How we stabilized our design by reengineering the turn
Sections are numbered
How we added enzymatic function to de novo proteins
1.Review analysis of the structure
2.How we created the active site by trimming side chain residues
3.How we stabilized our design by reengineering the turn
Key words are highlighted
How we added enzymatic function to de novo proteins
1.Review analysis of the structure
2.How we created the active site by trimming side chain residues
3.How we stabilized our design by reengineering the turn
Results (2), Characteristics
CCEB
Variable CC (N=199)
Any T (N=118)
P-value
Age 58 (47-70)
60 (51-72)
0.23
Gender 67 (33.7%)
32 (27.1%)
0.22
BMI: <25, 25-30, >30
59 (29.8%) 54 (27.3%) 85 (42.9%)
37 (31.9%)45 (38.8%)34 (29.3%)
0.03
CYP2C9, any *2 or *3
29 (14.9%)
42 (35.6%)
<0.001
APOE, any E4 67 (34.2%)
35 (29.7%)
0.40
Vitamin K intake 44 (20-112)
35 (20-85)
0.49
Table slide
Results (2), Characteristics
CCEB
Variable CC (N=199)
Any T (N=118)
P-value
Age 58 (47-70)
60 (51-72)
0.23
Gender 67 (33.7%)
32 (27.1%)
0.22
BMI: <25, 25-30, >30
59 (29.8%) 54 (27.3%) 85 (42.9%)
37 (31.9%)45 (38.8%)34 (29.3%)
0.03
CYP2C9, any *2 or *3
29 (14.9%)
42 (35.6%)
<0.001
APOE, any E4 67 (34.2%)
35 (29.7%)
0.40
Vitamin K intake 44 (20-112)
35 (20-85)
0.49
Clarify and clearly annotate Which ?
Which?
What are these?
Results (2), Characteristics
CCEB
Variable CC (N=199)
Any T (N=118)
P-value
Age 58 (47-70)
60 (51-72)
0.23
Gender 67 (33.7%)
32 (27.1%)
0.22
BMI: <25, 25-30, >30
59 (29.8%) 54 (27.3%) 85 (42.9%)
37 (31.9%)45 (38.8%)34 (29.3%)
0.03
CYP2C9, any *2 or *3
29 (14.9%)
42 (35.6%)
<0.001
APOE, any E4 67 (34.2%)
35 (29.7%)
0.40
Vitamin K intake 44 (20-112)
35 (20-85)
0.49
Which data and
what precision is meaningful?
N values? Percentage of group?Precision of percentage?P-values?
Results (2), Characteristics
CCEB
Variable CC (N=199)
Any T (N=118)
P-value
Ag 58 (47-70)
60 (51-72)
0.23
Gender 67 (33.7%)
32 (27.1%)
0.22
BMI: <25, 25-30, >30
59 (29.8%) 54 (27.3%) 85 (42.9%)
37 (31.9%)45 (38.8%)34 (29.3%)
0.03
CYP2C9, any *2 or *3
29 (14.9%)
42 (35.6%)
<0.001
APOE, any E4 67 (34.2%)
35 (29.7%)
0.40
Vitamin K intake 44 (20-112)
35 (20-85)
0.49
Which results are relevant and
in what order will you present?
[Highlight and reorder if necessary]
Results (2), Characteristics
CCEB
Variable CC (N=199)
Any T (N=118)
P-value
Age 58 (47-70)
60 (51-72)
0.23
Gender 67 (33.7%)
32 (27.1%)
0.22
BMI: <25, 25-30, >30
59 (29.8%) 54 (27.3%) 85 (42.9%)
37 (31.9%)45 (38.8%)34 (29.3%)
0.03
CYP2C9, any *2 or *3
29 (14.9%)
42 (35.6%)
<0.001
APOE, any E4 67 (34.2%)
35 (29.7%)
0.40
Vitamin K intake 44 (20-112)
35 (20-85)
0.49
Before (again)
T-allele carriers have increased risk of CYP2C9 *2 or *3 & decreased risk of elevated BMI
T allele carriers (N=118)
Non T-allele carriers (N=199)
p value
Avg. Age (years) 60 58
% Male 27% 34%% CYP2C9 *2 or *3 36% 15% <0.001
% BMI >30 29% 43% 0.03
% APOE4 30% 34%
Avg. Vit.K intake 35 44
MinimumEssential
Data
BillboardDesign
…from Mediocre
F OH E
L LO WT
…to memorable