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Data Action

Using Data for Public Good

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On sale Sep 20, 2022 | 312 Pages | 9780262545310
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How to use data as a tool for empowerment rather than oppression.

Big data can be used for good, from tracking disease to exposing human rights violations, and for bad, implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.
Sarah Williams is Associate Professor of Technology and Urban Planning at the MIT School of Architecture and Planning, where she is also Director of the Civic Data Design Lab. Trained in geography, landscape architecture, and urban planning, she was named one of the Top 25 Leading Thinkers in Urban Planning and Technology by Planetizen and 2012 Game Changer by Metropolis Magazine. Her designs and visualizations have been widely exhibited.
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•     Chad
•     Chile
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•     Christmas Islnd
•     Cocos Islands
•     Colombia
•     Comoro Is.
•     Congo
•     Cook Islands
•     Costa Rica
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•     Cuba
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•     Cyprus
•     Czech Republic
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•     Denmark
•     Djibouti
•     Dominica
•     Dominican Rep.
•     Ecuador
•     Egypt
•     El Salvador
•     Equatorial Gui.
•     Eritrea
•     Estonia
•     Ethiopia
•     Falkland Islnds
•     Faroe Islands
•     Fiji
•     Finland
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•     French Guinea
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•     Gambia
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•     Germany
•     Ghana
•     Gibraltar
•     Greece
•     Greenland
•     Grenada
•     Guadeloupe
•     Guam
•     Guatemala
•     Guernsey
•     Guinea Republic
•     Guinea-Bissau
•     Guyana
•     Haiti
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•     Honduras
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•     Madagascar
•     Malawi
•     Malaysia
•     Maldives
•     Mali
•     Malta
•     Marshall island
•     Martinique
•     Mauritania
•     Mauritius
•     Mayotte
•     Mexico
•     Micronesia
•     Minor Outl.Ins.
•     Moldavia
•     Monaco
•     Mongolia
•     Montenegro
•     Montserrat
•     Morocco
•     Mozambique
•     Myanmar
•     Namibia
•     Nauru
•     Nepal
•     Netherlands
•     New Caledonia
•     New Zealand
•     Nicaragua
•     Niger
•     Nigeria
•     Niue
•     Norfolk Island
•     North Korea
•     North Mariana
•     Norway
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•     Pakistan
•     Palau
•     Palestinian Ter
•     Panama
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•     Pitcairn Islnds
•     Poland
•     Portugal
•     Puerto Rico
•     Qatar
•     Reunion Island
•     Romania
•     Russian Fed.
•     Rwanda
•     S. Sandwich Ins
•     Saint Martin
•     Samoa,American
•     San Marino
•     SaoTome Princip
•     Saudi Arabia
•     Senegal
•     Serbia
•     Seychelles
•     Sierra Leone
•     Singapore
•     Sint Maarten
•     Slovakia
•     Slovenia
•     Solomon Islands
•     Somalia
•     South Africa
•     South Korea
•     South Sudan
•     Spain
•     Sri Lanka
•     St Barthelemy
•     St. Helena
•     St. Lucia
•     St. Vincent
•     St.Chr.,Nevis
•     St.Pier,Miquel.
•     Sth Terr. Franc
•     Sudan
•     Suriname
•     Svalbard
•     Swaziland
•     Sweden
•     Switzerland
•     Syria
•     Tadschikistan
•     Taiwan
•     Tanzania
•     Thailand
•     Timor-Leste
•     Togo
•     Tokelau Islands
•     Tonga
•     Trinidad,Tobago
•     Tunisia
•     Turkey
•     Turkmenistan
•     Turks&Caicos Is
•     Tuvalu
•     US Virgin Is.
•     USA
•     Uganda
•     Ukraine
•     Unit.Arab Emir.
•     United Kingdom
•     Uruguay
•     Uzbekistan
•     Vanuatu
•     Vatican City
•     Venezuela
•     Vietnam
•     Wallis,Futuna
•     West Saharan
•     Western Samoa
•     Yemen
•     Zambia
•     Zimbabwe

Introduction: Using Data Action ix
1 Big Data for Cities Is Not New 1
2 Build It! Data Is Never Raw, It's Collected 51
3 Hack It! Using Data Creatively 89
4 Share It! Communicating Data Insights 137
5 Data as a Public Good 187
Conclusion: It's How We Work with Data that Really Matters 213
Acknowledgments 223
Notes 227
Bibliography 251
Index 273

About

How to use data as a tool for empowerment rather than oppression.

Big data can be used for good, from tracking disease to exposing human rights violations, and for bad, implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.

Author

Sarah Williams is Associate Professor of Technology and Urban Planning at the MIT School of Architecture and Planning, where she is also Director of the Civic Data Design Lab. Trained in geography, landscape architecture, and urban planning, she was named one of the Top 25 Leading Thinkers in Urban Planning and Technology by Planetizen and 2012 Game Changer by Metropolis Magazine. Her designs and visualizations have been widely exhibited.

Rights

Available for sale exclusive:
•     Afghanistan
•     Aland Islands
•     Albania
•     Algeria
•     Andorra
•     Angola
•     Anguilla
•     Antarctica
•     Antigua/Barbuda
•     Argentina
•     Armenia
•     Aruba
•     Australia
•     Austria
•     Azerbaijan
•     Bahamas
•     Bahrain
•     Bangladesh
•     Barbados
•     Belarus
•     Belgium
•     Belize
•     Benin
•     Bermuda
•     Bhutan
•     Bolivia
•     Bonaire, Saba
•     Bosnia Herzeg.
•     Botswana
•     Bouvet Island
•     Brazil
•     Brit.Ind.Oc.Ter
•     Brit.Virgin Is.
•     Brunei
•     Bulgaria
•     Burkina Faso
•     Burundi
•     Cambodia
•     Cameroon
•     Canada
•     Cape Verde
•     Cayman Islands
•     Centr.Afr.Rep.
•     Chad
•     Chile
•     China
•     Christmas Islnd
•     Cocos Islands
•     Colombia
•     Comoro Is.
•     Congo
•     Cook Islands
•     Costa Rica
•     Croatia
•     Cuba
•     Curacao
•     Cyprus
•     Czech Republic
•     Dem. Rep. Congo
•     Denmark
•     Djibouti
•     Dominica
•     Dominican Rep.
•     Ecuador
•     Egypt
•     El Salvador
•     Equatorial Gui.
•     Eritrea
•     Estonia
•     Ethiopia
•     Falkland Islnds
•     Faroe Islands
•     Fiji
•     Finland
•     France
•     Fren.Polynesia
•     French Guinea
•     Gabon
•     Gambia
•     Georgia
•     Germany
•     Ghana
•     Gibraltar
•     Greece
•     Greenland
•     Grenada
•     Guadeloupe
•     Guam
•     Guatemala
•     Guernsey
•     Guinea Republic
•     Guinea-Bissau
•     Guyana
•     Haiti
•     Heard/McDon.Isl
•     Honduras
•     Hong Kong
•     Hungary
•     Iceland
•     India
•     Indonesia
•     Iran
•     Iraq
•     Ireland
•     Isle of Man
•     Israel
•     Italy
•     Ivory Coast
•     Jamaica
•     Japan
•     Jersey
•     Jordan
•     Kazakhstan
•     Kenya
•     Kiribati
•     Kuwait
•     Kyrgyzstan
•     Laos
•     Latvia
•     Lebanon
•     Lesotho
•     Liberia
•     Libya
•     Liechtenstein
•     Lithuania
•     Luxembourg
•     Macau
•     Macedonia
•     Madagascar
•     Malawi
•     Malaysia
•     Maldives
•     Mali
•     Malta
•     Marshall island
•     Martinique
•     Mauritania
•     Mauritius
•     Mayotte
•     Mexico
•     Micronesia
•     Minor Outl.Ins.
•     Moldavia
•     Monaco
•     Mongolia
•     Montenegro
•     Montserrat
•     Morocco
•     Mozambique
•     Myanmar
•     Namibia
•     Nauru
•     Nepal
•     Netherlands
•     New Caledonia
•     New Zealand
•     Nicaragua
•     Niger
•     Nigeria
•     Niue
•     Norfolk Island
•     North Korea
•     North Mariana
•     Norway
•     Oman
•     Pakistan
•     Palau
•     Palestinian Ter
•     Panama
•     PapuaNewGuinea
•     Paraguay
•     Peru
•     Philippines
•     Pitcairn Islnds
•     Poland
•     Portugal
•     Puerto Rico
•     Qatar
•     Reunion Island
•     Romania
•     Russian Fed.
•     Rwanda
•     S. Sandwich Ins
•     Saint Martin
•     Samoa,American
•     San Marino
•     SaoTome Princip
•     Saudi Arabia
•     Senegal
•     Serbia
•     Seychelles
•     Sierra Leone
•     Singapore
•     Sint Maarten
•     Slovakia
•     Slovenia
•     Solomon Islands
•     Somalia
•     South Africa
•     South Korea
•     South Sudan
•     Spain
•     Sri Lanka
•     St Barthelemy
•     St. Helena
•     St. Lucia
•     St. Vincent
•     St.Chr.,Nevis
•     St.Pier,Miquel.
•     Sth Terr. Franc
•     Sudan
•     Suriname
•     Svalbard
•     Swaziland
•     Sweden
•     Switzerland
•     Syria
•     Tadschikistan
•     Taiwan
•     Tanzania
•     Thailand
•     Timor-Leste
•     Togo
•     Tokelau Islands
•     Tonga
•     Trinidad,Tobago
•     Tunisia
•     Turkey
•     Turkmenistan
•     Turks&Caicos Is
•     Tuvalu
•     US Virgin Is.
•     USA
•     Uganda
•     Ukraine
•     Unit.Arab Emir.
•     United Kingdom
•     Uruguay
•     Uzbekistan
•     Vanuatu
•     Vatican City
•     Venezuela
•     Vietnam
•     Wallis,Futuna
•     West Saharan
•     Western Samoa
•     Yemen
•     Zambia
•     Zimbabwe

Table of Contents

Introduction: Using Data Action ix
1 Big Data for Cities Is Not New 1
2 Build It! Data Is Never Raw, It's Collected 51
3 Hack It! Using Data Creatively 89
4 Share It! Communicating Data Insights 137
5 Data as a Public Good 187
Conclusion: It's How We Work with Data that Really Matters 213
Acknowledgments 223
Notes 227
Bibliography 251
Index 273