ABSTRACT: Every day, we're inundated with a staggering amount of information that continues to grow exponentially. How can we process all these inputs and grasp even a fraction of the available knowledge? In my talk, I'll offer a personal reflection on information design and its tools for accessing the world's complexity without necessarily simplifying it. And, why not, I'll also share how I planned a data-driven visit to my favorite theme park.
BIO: Alessandro Zotta is an Information Designer who is the Head of Data Visualization at Accurat and teaches Data-Driven Design at NABA.
DevEX - reference for building teams, processes, and platforms
Data Sense-making: navigating the world through the lens of information design
1. Data Sense-making
Speck&Tech #60 January 31st, 2024
Navigating the world through the lens of information design
Alessandro Zotta
hello@alessandrozotta.it
9. I am an information designer
Data Sense-making Speck&Tech
Alessandro Zotta
January 31st, 2024
10. Why do I love working with data?
Alessandro Zotta
January 31st, 2024
Data Sense-making Speck&Tech
11. Why do I love working with data?
story
puzzle +
Alessandro Zotta
Data Sense-making Speck&Tech
January 31st, 2024
12. Why do I love working with data?
story
puzzle +
Alessandro Zotta
Data Sense-making Speck&Tech
January 31st, 2024
solve enigmas
find connections
understand the meaning
13. Why do I love working with data?
story
puzzle
+
Alessandro Zotta
Data Sense-making Speck&Tech
January 31st, 2024
solve enigmas
find connections
understand the meaning
sense-making
14. Why do I love working with data?
Alessandro Zotta
Data Sense-making Speck&Tech
January 31st, 2024
going on an adventure
discover facts and insights
shed light on important matters
story
puzzle
+
sense-making
15. Why do I love working with data?
story
Alessandro Zotta
Data Sense-making Speck&Tech
January 31st, 2024
puzzle
+
sense-making going on an adventure
discover facts and insights
shed light on important matters
shareability
16. Why do I love working with data?
Alessandro Zotta
Data Sense-making Speck&Tech
January 31st, 2024
information designers
readers
story
shareability
puzzle
+
sense-making
17. What makes information design so beautiful
Feed curiosity
Share knowledge
Learn something
Data Sense-making Speck&Tech
Alessandro Zotta
January 31st, 2024
18. What makes information design so beautiful
Feed curiosity
Share knowledge
Learn something
Data Sense-making Speck&Tech
Alessandro Zotta
January 31st, 2024
19. Islands of Adventure
Park 2
Universal Studios
Park 1
Alessandro Zotta
January 31st, 2024
Data Sense-making Speck&Tech
Waterpark
20. Questions:
Which rides have the longest line?
What time of day is best for each ride?
What is the best predictor of wait times
for our stay?
Crowd level
Historical wait time
Data Sense-making Speck&Tech
Alessandro Zotta
January 31st, 2024
33. Build data-driven answers
and stories
Alessandro Zotta
Feed curiosity
January 31st, 2024
Data Sense-making Speck&Tech
34. What makes information design so beautiful
Feed curiosity
Share knowledge
Learn something
Data Sense-making Speck&Tech
Alessandro Zotta
January 31st, 2024
35. Data Sense-making Speck&Tech
DensityDesign Final Synthesis Lab — Politecnico di Milano
Analysis of a controversy
PHASE 1 PHASE 2 PHASE 3
Research website
Communication
Public installation
Public Data
Collection
Print + Microsite
Data Scraping
& Analysis
36. Data Sense-making Speck&Tech
DensityDesign Final Synthesis Lab — Politecnico di Milano
Analysis of a controversy
PHASE 1 PHASE 2 PHASE 3
Public Data
Collection
Print + Microsite Research website
Data Scraping
& Analysis
Communication
Public installation
37. Societal Challenges identified by the EU, 2016
migration
climate change adaptation
radicalisation
inequality and unemployment
free movement of people and goods
Data Sense-making Speck&Tech
DensityDesign Final Synthesis Lab — Politecnico di Milano
43. Data Sense-making Speck&Tech
On Their Way, published on La Lettura - Corriere della Sera, December 31st, 2016 Gold at Kantar Information is Beautiful Awards
Best of Show & Gold at Malofiej International Awards
44. On Their Way, published on La Lettura - Corriere della Sera, December 31st, 2016
Data Sense-making Speck&Tech
45. Master understanding
of world phenomena
Alessandro Zotta
Learn something
January 31st, 2024
Data Sense-making Speck&Tech
46. What makes information design so beautiful
Feed curiosity
Share knowledge
Learn something
Data Sense-making Speck&Tech
Alessandro Zotta
January 31st, 2024
47. Goalkeepers Report — Bill & Melinda Gates Foundation
Data Sense-making Speck&Tech
48. Goalkeepers Report — Bill & Melinda Gates Foundation
Data Sense-making Speck&Tech
49. Goalkeepers Report — Bill & Melinda Gates Foundation
Data Sense-making Speck&Tech
50. Goalkeepers Report — Bill & Melinda Gates Foundation
Data Sense-making Speck&Tech
53. May 2022, ScientificAmerican.com 51
50 Scientific American, May 2022 Graphic by Accurat (Alessandro Zotta and Alessandra Facchin)
1970
0
2
4
6
1980 1990 2000 2010 2017
40
0
40
80
120
160
1970 1980 1990 2000 2010 2017
AQUACULTURE
CAPTURE
Used
9.7
Exported
3.2
Farmed 0.6 MMT
Captured 6.2
Imported 6.1
North America
Seychelles
St. Helena
Sao Tome and Principe
Congo
The Gambia
Gabon
Ghana
Mauritius
Sierra Leone
Côte d'Ivoire
Egypt
Morocco
Angola
Senegal
Comoros
Benin
Cameroon
Libya
Equatorial Guinea
Namibia
Mozambique
Zambia
Malawi
Tunisia
Uganda
Togo
Chad
Guinea
Cabo Verde
Nigeria
Rwanda
Burkina Faso
Mauritania
Central African Republic
Tanzania, United Rep. of
Mali
South Africa
Madagascar
Congo Dem. Rep.
Liberia
Algeria
Eswatini
Djibouti
Zimbabwe
Kenya
Réunion
South Sudan
Burundi
Botswana
Somalia
Lesotho
Niger
Guinea-Bissau
Sudan
Eritrea
Ethiopia
Iceland
Faroe Islands
Portugal
Norway
Spain
Malta
Denmark
Lithuania
Finland
France
Italy
Sweden
Luxembourg
Latvia
Ireland
Netherlands
Russian Federation
Poland
Belgium
U.K.
Croatia
Greece
Switzerland
Germany
Austria
Montenegro
Estonia
Slovenia
Moldova, Republic of
Ukraine
Belarus
Czechia
Slovakia
Albania
Bulgaria
Romania
Serbia
Hungary
North Macedonia
Bosnia and Herzegovina
Northern Mariana Is.
Kiribati
Tokelau
Palau
Cook Islands
Nauru
Wallis and Futuna Is.
Tuvalu
French Polynesia
Micronesia, Fed.States of
Samoa
Marshall Islands
Solomon Islands
Vanuatu
Niue
Fiji
Tonga
New Zealand
New Caledonia
Australia
Papua New Guinea
American Samoa
Guam
Greenland
St. Pierre and Miquelon
Antigua and Barbuda
Anguilla
Barbados
Bermuda
Falkland Is.(Malvinas)
Turks and Caicos Is.
Montserrat
Saint Kitts and Nevis
Saint Lucia
Curaçao
Dominica
British Virgin Islands
Peru
Jamaica
Guyana
Trinidad and Tobago
Bahamas
Saint Vincent/Grenadines
Costa Rica
Canada
U.S.
Panama
Cayman Islands
Suriname
Mexico
Bonaire/S.Eustatius/Saba
Chile
Guadeloupe
Belize
Martinique
Venezuela, Boliv Rep of
Saint Barthélemy
Uruguay
Brazil
French Guiana
Dominican Republic
Ecuador
El Salvador
Colombia
Argentina
Haiti
Sint Maarten
Nicaragua
Cuba
Paraguay
Guatemala
US Virgin Islands
Honduras
Bolivia (Plurinat.State)
Saint-Martin
Puerto Rico
Aruba
Grenada
Laos
Bhutan
Armenia
Nepal
Azerbaijan
Turkmenistan
Kazakhstan
Uzbekistan
Palestine
Kyrgyzstan
Tajikistan
Afghanistan
Mongolia
Cambodia
Malaysia
Republic of Korea
Hong Kong SARMyanmar
Macao SAR
Singapore
Brunei Darussalam
Viet Nam
Thailand
Sri Lanka
China
Bangladesh
Philippines
Taiwan
Cyprus
United Arab Emirates
Israel
Qatar
Bahrain
Kuwait
Iran (Islamic Rep. of)
Saudi Arabia
Korea, Dem. People's Rep
Georgia
Timor-Leste
Lebanon
Jordan
Turkey
Yemen
Iraq
Pakistan
Syrian Arab Republic
Maldives
Indonesia
India
Japan
CAPTURE
Freshwater fish
Grass carp 5.7
Silver carp 4.8
Nile tilapia 4.6
Cupped oysters 5.3
Japanese carpet shell 4.0
Constricted tagelus 0.9
Whiteleg shrimp 5.4
Red swamp crawfish 2.2
Chinese mitten crab 0.8
Atlantic salmon 2.6
Milkfish 1.5
Rainbow trout 0.9
Gilthead seabream 0.3
Large yellow croaker 0.2
Skipjack tuna 3.4
Anchoveta 4.3
Silver cyprinid 0.3
Nile tilapia 0.3
Nile perch 0.3
Jumbo flying squid 0.9
Yesso scallop 0.4
American sea scallop 0.3
Antarctic krill 0.4
Hilsa shad 0.6
Pink salmon 0.5
Chum salmon 0.3
Saltwater/freshwater fish
Crustaceans
Saltwater fish
Mollusks
Freshwater fish
Saltwater/freshwater fish
Crustaceans
Mollusks
Saltwater fish
Alaska pollock 3.5
Gazami crab 0.5
Akiami paste shrimp 0.4
European seabass 0.3
MMT
AQUACULTURE
HOW MUCH A
COUNTRY EATS
Country has coastlines
Country is landlocked
5 15
0
Country Name
30 g
Daily Consumption
of Seafood Protein
Grams per person (2017)
WHAT WE EAT AND USE
Daily Seafood Consumption
Grams of protein eaten per person
Millions of metric tons
Seafood Supply
152.9
19.9
Nonfood
Food
Seafood Production
Methods (2017)
Subregional
Distribution
Total Supply
per Region
Asia
Asia
Europe
Europe
Americas
Africa
Oceania
Americas
Africa
Oceania
Australia and
New Zealand
Central Asia
Eastern Asia
Eastern Europe
Latin America
and Caribbean
Melanesia
Micronesia
Northern Africa
North America
Northern Europe
Polynesia
Southeast Asia
Southern Asia
Southern Europe
Sub-Saharan Africa
Western Asia
Western Europe
48.4 million live metric tons (MMT)
8.2 MMT
Nonfood
AFRICA
EUROPE
AMERICAS
ASIA
108.7 MMT
Food
14.8
Imports* Exports*
Bar height shows amount of
wild-caught seafood in region
Bar height shows amount
of farmed seafood in region
69.2 MMT
Bar height
shows
amount
of seafood
used
Food
7.3
Nonfood
16
Food
3.2
Nonfood
12.4
Food
0.8
Nonfood
OCEANIA
1
Food
0.3
Nonfood
21
21
5.6
People in highly populous
countries such as the U.S. and
India eat relatively little seafood—
though these nations are part
of regions that produce a fair
amount—when compared with
tiny countries such as Kiribati
and other nations in Oceania.
Seafood reliance becomes
apparent when production
is divided by population size.
Seafood species differ in popularity, depending
on whether they are farmed or wild-caught.
Top Three Species, by Group (2017)
A World of Seafood
Fish, shellfish and crustaceans have become
a gigantic global harvest. More than 177 million
metric tons of seafood (excluding plants) came
from oceans and fresh water in 2019, the latest
year for which data are available. These charts
show the regions and countries that produce
and use the most. The charts also show how
much comes from fish farming—or aquacul-
ture—and from wild-catch fisheries, as well as
trends in consumption over time.
DEMAND ON THE RISE
The amount of seafood that people use has been
climbing since the 1970s. Most of the growth is
in food products, whereas nonhuman food uses
(animal feed, for instance, or bait to catch other
fish ha e fluctuated n a erage, our daily diet
of seafood protein has also increased.
Sources: FishStatJ, Food and Agriculture Organization of the United Nations
(
https://www.fao.org/fishery/en/statistics/software/fishstatj), accessed
March2022;FishStatJ,FoodBalanceSheetsofFishandFisheryProducts
(2017 import, export, food and nonfood country-level data);FishStatJ,FAO
FisheriesandAquacultureProductionStatistics(aquaculture, capture and
species data);
FAO Yearbook of Fishery and Aquaculture Statistics 2019. FAO,
2021, accessed March 2022 (1966–2017 data; 2017 country-level fish protein data)
These charts do not include data for marine mammals, crocodiles,
corals, pearls, mother-of-pearl, sponges and aquatic plants.
*
Productionmethods—andcross-
regionconnectiondetails—arenot
available for imports and exports.
Data Sense-making SpeckTech
Scientific American, May 2022
54. AQUACULTURE
Mald
HOW
COUN
Seafood Production
Methods (2017)
Subregional
Distribution
Total Supply
per Region
Asia
Europe
Americas
Africa
Oceania
Eastern Asia
Southeast Asia
48.4 million live metric tons (MMT)
8.2 MMT
Nonfood
ASIA
108.7 MMT
Food
Imports* Exports*
Bar height shows amount of
wild-caught seafood in region
Bar height shows amount
of farmed seafood in region
69.2 MMT
Bar height
shows
amount
of seafood
used
21
People in
countries
India eat
though th
of regions
amount—
tiny coun
and other
Seafood r
apparent
is divided
55. Used
9.7
Exported
3.2
Farmed 0.6 MMT
Captured 6.2
Imported 6.1
North America
Ic
Fa
Kiribat
Europe
Americas
Africa
Oceania
Australia and
New Zealand
Central Asia
Eastern Europe
Latin America
and Caribbean
Melanesia
Micronesia
Northern Africa
North America
Northern Europe
Polynesia
Southern Europe
Sub-Saharan Africa
Western Europe
AFRICA
EUROPE
14.8
7.3
Nonfood
16
Food
3.2
Nonfood
12.4
Food
0.8
Nonfood
OCEANIA
1
Food
0.3
Nonfood
*
Productionmethods—andcross-
regionconnectiondetails—arenot
available for imports and exports.
56. Laos
Bhutan
Armenia
Nepal
Azerbaijan
Turkmenistan
Kazakhstan
Uzbekistan
Palestine
Kyrgyzstan
Tajikistan
Afghanistan
Mongolia
Cambodia
Republic of Korea
Hong Kong SARMyanmar
Macao SAR
Singapore
Brunei Darussalam
Viet Nam
Sri Lanka
China
Bangladesh
Philippines
Taiwan
Cyprus
Israel
Qatar
Bahrain
Kuwait
Iran (Islamic Rep. of)
Saudi Arabia
Korea, Dem. People's Rep
Georgia
Timor-Leste
Lebanon
Jordan
Turkey
Yemen
Iraq
Pakistan
Syrian Arab Republic
Maldives
Indonesia
India
Japan
Freshw
Grass c
Silver c
Nile tila
Cupped
Japane
Constr
Whitel
Red sw
Chines
Crusta
Mollus
AQUACULTURE
HOW MUCH A
COUNTRY EATS
Country has coastlines
Country is landlocked
5 15
0
Country Name
30 g
Daily Consumption
of Seafood Protein
Grams per person (2017)
WHAT WE EAT AN
Total Supply
per Region
ASIA
People in highly populous
countries such as the U.S. and
India eat relatively little seafood—
though these nations are part
of regions that produce a fair
amount—when compared with
tiny countries such as Kiribati
and other nations in Oceania.
Seafood reliance becomes
apparent when production
is divided by population size.
Seafood species differ in po
on whether they are farme
Top Three S
57. Seychelles
St. Helena
Sao Tome and Principe
Congo
The Gambia
Gabon
Ghana
Mauritius
Sierra Leone
Côte d'Ivoire
Egypt
Morocco
Angola
Senegal
Comoros
Benin
Cameroon
Libya
Equatorial Guinea
Namibia
Mozambique
Zambia
Malawi
Tunisia
Uganda
Togo
Chad
Guinea
Cabo Verde
Nigeria
Rwanda
Burkina Faso
Mauritania
Central African Republic
Tanzania, United Rep. of
Mali
South Africa
Madagascar
Congo Dem. Rep.
Liberia
Algeria
Eswatini
Djibouti
Zimbabwe
Kenya
Réunion
South Sudan
Burundi
Botswana
Somalia
Lesotho
Niger
Guinea-Bissau
Sudan
Eritrea
Ethiopia
Portugal
Malta
Finland
France Sweden
Netherlands
Poland
Belgium
U.K.
CroatiaEstonia
Slovenia
Ukraine
Albania
Romania
Northern Mariana Is.
Kiribati
Tokelau
Palau
Cook Islands
Nauru
Wallis and Futuna Is.
Tuvalu
French Polynesia
Micronesia, Fed.States of
Samoa
Marshall Islands
Solomon Islands
Vanuatu
Niue
Fiji
Tonga
New Zealand
New Caledonia
Australia
Papua New Guinea
American Samoa
Guam
Silver c
Nile tila
Nile pe
Jumbo
Yesso s
Americ
Antarc
Hilsa sh
Pink sa
Chum s
Freshw
Saltwa
Crusta
Mollus
Gazam
Akiami
AFRICA
EUROPE
16
Food
3.2
Nonfood
12.4
Food
0.8
Nonfood
OCEANIA
1
Food
0.3
Nonfood
*
Productionmethods—andcross-
regionconnectiondetails—arenot
available for imports and exports.
58. Sketches — Scientific American, May 2022
Data Sense-making SpeckTech
Alessandro Zotta
59. Details — Scientific American, May 2022
Data Sense-making SpeckTech
Alessandro Zotta
62. Kickoff workshop at AA School of Architecture, London, 2019
Data Sense-making SpeckTech
63. Kickoff workshop at AA School of Architecture, London, 2019
Data Sense-making SpeckTech
64. Data Sense-making SpeckTech
Kickoff workshop at AA School of Architecture, London, 2019
EVOLUTION OF ARCHITECTURAL FOOTPRINT OF STATIONS ON ANTARCTICA
1,920
1,900 1,940 1,960
ATS 1,980 2,000 2,020
Opened
STATION LIFECYCLE
LEGEND
Expanded (Original Size Increased)
Transfered between Countries
Temporary Closed
Destroyed
Renovated / Rufurbished
Extended (New Facilities Added)
Rebuilt
Belgrano III
Belgrano II
Belgrano I
Brown
Casey
Decepcion
Esperanza
Marambio
Matienzo
Melchior
Petrel
Primavera
San Martin
Camara
Carlini
Orcadas
Aboa
Bellinghausen
Bharati
Bahia Luna Station Camara
Caleta Potter Carlini
Carvajal
Concordia
Dallmann
Davis
Dirck Gerritsz Laboratory
Dr. Guillermo Mann
Druzhnaya IV
Ferraz
Frei
Gabriel González Videla
Gabriel de Castilla
Georg-von-Neumayer-Station Neumayer III
Neumayer III
Great Wall
Henryk Arctowski
Jang Bogo
Johann Gregor Mendel
King Sejong
Kohnnen
Kunlun
Leningradskaya
Machu Picchu
Maitri
Baia Terra Nova Mario Zucchelli
Mario Zucchelli
Mawson
Mirny
Molodezhnaya
Vechernyaya
Novolazarevskaya
Oazis
Progress
O’Higgins
Pedro Vicente Maldonado
Prat
Princess Elisabeth
Professor Julio Escudero
Risopatrón
Yelcho
Russkaya
SANAE IV
Scott Base
St. Kliment Ohridski
Syowa
Taishan
Troll
Vechernyaya
Vostok
Zhongshan
Dumont d’Urville
Amundsen-Scott South Pole
Artigas
Fossil Bluff and Sky Blu
Halley II
Halley IV
Halley V
Rothera
Juan Carlos I
McMurdo
Palmer
Ruperto Elichiribehety
Signy
Vernadsky
Wasa
Halley VI
Halley III
Halley I
UK UA
RU PL
UK CL
Amundsen-Scott South Pole
AR
AU
BV
BE
BR
BG
CL
CN
CZ
EC
FI
FR/IT
FR
DE
IN
IT
JP
NL
NZ
NO
PE
PL
BV
KR
RU
ZA
ES
SE
UA
UK
UY
US
51054
9200
1150
130
2559
4000
16200
8979
108
1800
872
1500
4000
48
7480
7500
3605
3930
5183
4815
200
908
288
12786
15175
221
980
1800
108
22000
22855
1944
15
10
9
4
4
3
3
3
3
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Number of Stations /
per country (no.)
Size of Sum of Stations /
per country (sqm)
2
Estonia
Turkey
Venezuela
Romania
Cuba
Guatemala
Pakistan
Greece
M
a
l
a
y
s
i
a
Denm
ark
Austria
M
onaco
C
a
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a
S
w
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t
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e
r
l
a
n
d
P
o
r
t
u
g
a
l
Papua New Guinea
Mongolia
North Korea
Kazakhstan
Belarus
Colom
bia
Iceland
Hungary
Norway
South Africa
Spain
United Kingdom
E
c
u
a
d
o
r
F
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d
U
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S
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Poland
Peru
Sweden
Czech Republic
Ukraine
Chile
Argentina
Uruguay
Australia
Brazil
China
B
e
l
g
i
u
m
R
u
s
s
i
a
France
Germany
B
u
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g
a
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India
Italy
Japan
South Korea
Netherlands
New Zealand
A
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67. Data Sense-making SpeckTech
30th anniversary of the Protocol on Environmental Protection to the Antarctic Treaty
Inauguration Round Table, Madrid, 2021
69. Create opportunities for others
to access information
Alessandro Zotta
Shareability
January 31st, 2024
Data Sense-making SpeckTech
70. Feed curiosity
Share knowledge
Learn something
Master understanding of world phenomena
Build data-driven answers and stories
Create opportunities to access information
Information design
Alessandro Zotta
Data Sense-making SpeckTech
Questions?