SlideShare ist ein Scribd-Unternehmen logo
1 von 9
Downloaden Sie, um offline zu lesen
The Power of Science, GIS and
Sensors:
A Case Study in Sensor
Journalism
ESRI CONFERENCE 2015
PROF. AMY SCHMITZ WEISS & KEVIN ROBINSON

sensorjournalism.wordpress.com
WHAT’S IN THE AIR
AIR QUALITY
SENSOR PROJECT
• Collaboration between inewsource and journalism
and geology departments at San Diego State
University
• Co-taught by journalism professor and geology
lecturer
• Semester-long project – students’ stories and data
collected from air quality sensors deployed in
the community - published on inewsource
• Sensor technology
• ARCGIS: mapping of sensor data (for discovery,
storytelling, and analysis)
• Year-long grant funded by the 2014-2015 ONA
Hack the Curriculum Grant
• Interdisciplinary
approach
• Teaching journalistic
and scientific processes
in the classroom
OUR FRAMEWORK
STORY IDEA
• Datasets from the CalEnviroScreen 2.0 report
and EPA datasets on PM2.5 levels
• Explore and observe the different
neighborhoods of San Diego and their air
quality:
• Barrio Logan
• Logan Heights
• Chollas Creek
• Bankers Hill
• Using custom-built sensor kits and observe the
air quality in selected neighborhoods
• Numerous observations, data points
collected, stories formed over time
• inewsource guidance throughout process
Chicano Park in Barrio Logan. Photo by Camelle Sison
THE
COLLABORATORS
• Kevin Robinson (Geology)
• Joe Yerardi, Lorie Hearn
(inewsource)
• Other departments on campus
(e.g. Public Health, Geology,
Geography)
• Multiple guest speakers (e.g.
data journalism, sensor tech,
public health, etc.)
• Community involvement: (e.g.
sensor beta-testers, provided
general feedback, etc.)
MAPPING FOR
EXPLORATION
ARCGIS skills taught:
• Navigating existing maps/
datasets
• Creating layers
• Adding in geo-located data
points on a map
• Merging datasets together on
one map
• Creating legends/keys
• Sharing/publishing maps
STORYTELLING AND
SENSORS
• 22 stories produced; 9
published on inewsource
• 2 video explainers created
• 1 interactive ESRI map of
neighborhood sensor
observations collected
• Community observations
map/dataset - forthcoming
CONCLUSIONS
• Geographic inquiry model - a solid framework to lead this kind of
sensor journalism project (parallels between science/journalism)
• ARCGIS was a crucial tool - the power of mapping data; telling
important stories through location/maps
• Exciting future for sensor journalism when combined with
powerful maps - to tell important stories about the community on
a micro level
THANKS! QUESTIONS?
ASCHMITZ@MAIL.SDSU.EDU
@DIGITALAMYSW
AND
ROCKROBINSON@GMAIL.COM
FOLLOW OUR NEWS COVERAGE:
http://inewsource.org/whats-in-the-air/
TEACHING TIPS, BLOG,
CLASS SYLLABUS AND MORE:
sensorjournalism.wordpress.com

Weitere ähnliche Inhalte

Was ist angesagt?

Presentation - IAI Autumn 2010
Presentation - IAI Autumn 2010Presentation - IAI Autumn 2010
Presentation - IAI Autumn 2010
John Tierney
 

Was ist angesagt? (14)

ADVANTAGES OF DEPLOYMENT OF BESPOKE GNSS POSITION ESTIMATION METHODS IN NAVIG...
ADVANTAGES OF DEPLOYMENT OF BESPOKE GNSS POSITION ESTIMATION METHODS IN NAVIG...ADVANTAGES OF DEPLOYMENT OF BESPOKE GNSS POSITION ESTIMATION METHODS IN NAVIG...
ADVANTAGES OF DEPLOYMENT OF BESPOKE GNSS POSITION ESTIMATION METHODS IN NAVIG...
 
Sensing for Science: A poster for the NSF EPSCoR National Conference
Sensing for Science: A poster for the NSF EPSCoR National ConferenceSensing for Science: A poster for the NSF EPSCoR National Conference
Sensing for Science: A poster for the NSF EPSCoR National Conference
 
IMED 2018: An intro to Remote Sensing and Machine Learning
IMED 2018: An intro to Remote Sensing and Machine LearningIMED 2018: An intro to Remote Sensing and Machine Learning
IMED 2018: An intro to Remote Sensing and Machine Learning
 
Anna univ Remote sensing and GIS
Anna univ Remote sensing and GIS Anna univ Remote sensing and GIS
Anna univ Remote sensing and GIS
 
Adams Resume
Adams ResumeAdams Resume
Adams Resume
 
Maps and the Geospatial Revolution: Lesson 3, Lecture 1
Maps and the Geospatial Revolution: Lesson 3, Lecture 1Maps and the Geospatial Revolution: Lesson 3, Lecture 1
Maps and the Geospatial Revolution: Lesson 3, Lecture 1
 
IMED 2018: Innovations and Challenges in the Use of Open-source Remote Sensin...
IMED 2018: Innovations and Challenges in the Use of Open-source Remote Sensin...IMED 2018: Innovations and Challenges in the Use of Open-source Remote Sensin...
IMED 2018: Innovations and Challenges in the Use of Open-source Remote Sensin...
 
Hawaii november conference outline
Hawaii november conference outlineHawaii november conference outline
Hawaii november conference outline
 
Better Hackathon 2020 ETHZ - Comparing Static And Dynamic Effects Of Earthquakes
Better Hackathon 2020 ETHZ - Comparing Static And Dynamic Effects Of EarthquakesBetter Hackathon 2020 ETHZ - Comparing Static And Dynamic Effects Of Earthquakes
Better Hackathon 2020 ETHZ - Comparing Static And Dynamic Effects Of Earthquakes
 
State briefing to asa april 2015
State briefing to asa april  2015State briefing to asa april  2015
State briefing to asa april 2015
 
Using augmented reality and mobile learning: opportunities and challenges
Using augmented reality and mobile learning: opportunities and challengesUsing augmented reality and mobile learning: opportunities and challenges
Using augmented reality and mobile learning: opportunities and challenges
 
Welcome & Workshop Objectives: Introduction to COMPRES by Jay Bass, Universit...
Welcome & Workshop Objectives: Introduction to COMPRES by Jay Bass, Universit...Welcome & Workshop Objectives: Introduction to COMPRES by Jay Bass, Universit...
Welcome & Workshop Objectives: Introduction to COMPRES by Jay Bass, Universit...
 
GIS as a Land Planning Resource
GIS as a Land Planning ResourceGIS as a Land Planning Resource
GIS as a Land Planning Resource
 
Presentation - IAI Autumn 2010
Presentation - IAI Autumn 2010Presentation - IAI Autumn 2010
Presentation - IAI Autumn 2010
 

Ähnlich wie The Power of Science, GIS and Sensors: A Case Study in Sensor Journalism

Lightning Talks: All EartCube Funded Projects
Lightning Talks: All EartCube Funded ProjectsLightning Talks: All EartCube Funded Projects
Lightning Talks: All EartCube Funded Projects
EarthCube
 
historyofgis-201111181933.pdf
historyofgis-201111181933.pdfhistoryofgis-201111181933.pdf
historyofgis-201111181933.pdf
BSuresh26
 

Ähnlich wie The Power of Science, GIS and Sensors: A Case Study in Sensor Journalism (20)

Lightning Talks: All EartCube Funded Projects
Lightning Talks: All EartCube Funded ProjectsLightning Talks: All EartCube Funded Projects
Lightning Talks: All EartCube Funded Projects
 
COBWEB (presentation from Citizens’ Science and Smart Cities Summit) - Chris ...
COBWEB (presentation from Citizens’ Science and Smart Cities Summit) - Chris ...COBWEB (presentation from Citizens’ Science and Smart Cities Summit) - Chris ...
COBWEB (presentation from Citizens’ Science and Smart Cities Summit) - Chris ...
 
Enhancing User Engagement and Experiences through the Development of UCD Libr...
Enhancing User Engagement and Experiences through the Development of UCD Libr...Enhancing User Engagement and Experiences through the Development of UCD Libr...
Enhancing User Engagement and Experiences through the Development of UCD Libr...
 
Enhancing user engagement and experiences through the development of UCD Libr...
Enhancing user engagement and experiences through the development of UCD Libr...Enhancing user engagement and experiences through the development of UCD Libr...
Enhancing user engagement and experiences through the development of UCD Libr...
 
EEO/AGI-Scotland 2015: Citizen Science and GIScience - background and common ...
EEO/AGI-Scotland 2015: Citizen Science and GIScience - background and common ...EEO/AGI-Scotland 2015: Citizen Science and GIScience - background and common ...
EEO/AGI-Scotland 2015: Citizen Science and GIScience - background and common ...
 
Crowdsourcing Land Cover and Land Use Data: Experiences from IIASA
Crowdsourcing Land Cover and Land Use Data: Experiences from IIASACrowdsourcing Land Cover and Land Use Data: Experiences from IIASA
Crowdsourcing Land Cover and Land Use Data: Experiences from IIASA
 
Community Webinar: Tune up for AGU
Community Webinar: Tune up for AGUCommunity Webinar: Tune up for AGU
Community Webinar: Tune up for AGU
 
Studying information behavior: The Many Faces of Digital Visitors and Residents
Studying information behavior: The Many Faces of Digital Visitors and ResidentsStudying information behavior: The Many Faces of Digital Visitors and Residents
Studying information behavior: The Many Faces of Digital Visitors and Residents
 
Studying information behavior: The Many Faces of Digital Visitors and Residents
Studying information behavior: The Many Faces of Digital Visitors and ResidentsStudying information behavior: The Many Faces of Digital Visitors and Residents
Studying information behavior: The Many Faces of Digital Visitors and Residents
 
Herring Noaa Spring08
Herring Noaa Spring08Herring Noaa Spring08
Herring Noaa Spring08
 
Capturing the Behaviors of the Elusive User: Strategies for Library Ethnography
Capturing the Behaviors of the Elusive User: Strategies for Library EthnographyCapturing the Behaviors of the Elusive User: Strategies for Library Ethnography
Capturing the Behaviors of the Elusive User: Strategies for Library Ethnography
 
Capturing the Behaviors of the Elusive User: Strategies for Library Ethnography
Capturing the Behaviors of the Elusive User: Strategies for Library EthnographyCapturing the Behaviors of the Elusive User: Strategies for Library Ethnography
Capturing the Behaviors of the Elusive User: Strategies for Library Ethnography
 
RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...
RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...
RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...
 
RDC Mairi Best - Data Interoperability II
RDC Mairi Best  -  Data Interoperability IIRDC Mairi Best  -  Data Interoperability II
RDC Mairi Best - Data Interoperability II
 
historyofgis-201111181933.pdf
historyofgis-201111181933.pdfhistoryofgis-201111181933.pdf
historyofgis-201111181933.pdf
 
History of gis
History of gisHistory of gis
History of gis
 
EarthCube Day 2 Review - IT/FOSS Workshop
EarthCube Day 2 Review - IT/FOSS WorkshopEarthCube Day 2 Review - IT/FOSS Workshop
EarthCube Day 2 Review - IT/FOSS Workshop
 
(gis)
 (gis) (gis)
(gis)
 
SocialSensor Project: Sensing User Generated Input for Improved Media Discove...
SocialSensor Project: Sensing User Generated Input for Improved Media Discove...SocialSensor Project: Sensing User Generated Input for Improved Media Discove...
SocialSensor Project: Sensing User Generated Input for Improved Media Discove...
 
Interaktívne webové mapy ako nástroj pre analýzu heterogénnych dát pre krízov...
Interaktívne webové mapy ako nástroj pre analýzu heterogénnych dát pre krízov...Interaktívne webové mapy ako nástroj pre analýzu heterogénnych dát pre krízov...
Interaktívne webové mapy ako nástroj pre analýzu heterogénnych dát pre krízov...
 

Mehr von Amy Weiss

Data journalismtips
Data journalismtipsData journalismtips
Data journalismtips
Amy Weiss
 

Mehr von Amy Weiss (10)

10 trends in journalism for 2017
10 trends in journalism for 201710 trends in journalism for 2017
10 trends in journalism for 2017
 
Citizen Science: Sensors and the Environment - SXSW 2016
Citizen Science: Sensors and the Environment - SXSW 2016Citizen Science: Sensors and the Environment - SXSW 2016
Citizen Science: Sensors and the Environment - SXSW 2016
 
Discovery Slam Presentation: Spatial Journalism at SDSU
Discovery Slam Presentation: Spatial Journalism at SDSUDiscovery Slam Presentation: Spatial Journalism at SDSU
Discovery Slam Presentation: Spatial Journalism at SDSU
 
AEJMC - Building a Bridge Grant Project
AEJMC - Building a Bridge Grant ProjectAEJMC - Building a Bridge Grant Project
AEJMC - Building a Bridge Grant Project
 
5 Things to Know When Teaching Sensor Journalism
5 Things to Know When Teaching Sensor Journalism5 Things to Know When Teaching Sensor Journalism
5 Things to Know When Teaching Sensor Journalism
 
Wearable Technologies: Possibilities in Bringing Innovative Learning Experien...
Wearable Technologies: Possibilities in Bringing Innovative Learning Experien...Wearable Technologies: Possibilities in Bringing Innovative Learning Experien...
Wearable Technologies: Possibilities in Bringing Innovative Learning Experien...
 
15 Tips for J-Educators: Building a Mobile App Lessons Learned from AzteCast
15 Tips for J-Educators: Building a Mobile App Lessons Learned from AzteCast15 Tips for J-Educators: Building a Mobile App Lessons Learned from AzteCast
15 Tips for J-Educators: Building a Mobile App Lessons Learned from AzteCast
 
Spatial Journalism in the 21st Century - ICA 2014 Presentation - Schmitz Weiss
Spatial Journalism in the 21st Century - ICA 2014 Presentation - Schmitz WeissSpatial Journalism in the 21st Century - ICA 2014 Presentation - Schmitz Weiss
Spatial Journalism in the 21st Century - ICA 2014 Presentation - Schmitz Weiss
 
Data Driven Journalism Links and Resources
Data Driven Journalism Links and Resources Data Driven Journalism Links and Resources
Data Driven Journalism Links and Resources
 
Data journalismtips
Data journalismtipsData journalismtips
Data journalismtips
 

Kürzlich hochgeladen

The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
heathfieldcps1
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
PECB
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
Chris Hunter
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
ciinovamais
 

Kürzlich hochgeladen (20)

fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writing
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 

The Power of Science, GIS and Sensors: A Case Study in Sensor Journalism

  • 1. The Power of Science, GIS and Sensors: A Case Study in Sensor Journalism ESRI CONFERENCE 2015 PROF. AMY SCHMITZ WEISS & KEVIN ROBINSON sensorjournalism.wordpress.com
  • 2. WHAT’S IN THE AIR AIR QUALITY SENSOR PROJECT • Collaboration between inewsource and journalism and geology departments at San Diego State University • Co-taught by journalism professor and geology lecturer • Semester-long project – students’ stories and data collected from air quality sensors deployed in the community - published on inewsource • Sensor technology • ARCGIS: mapping of sensor data (for discovery, storytelling, and analysis) • Year-long grant funded by the 2014-2015 ONA Hack the Curriculum Grant
  • 3. • Interdisciplinary approach • Teaching journalistic and scientific processes in the classroom OUR FRAMEWORK
  • 4. STORY IDEA • Datasets from the CalEnviroScreen 2.0 report and EPA datasets on PM2.5 levels • Explore and observe the different neighborhoods of San Diego and their air quality: • Barrio Logan • Logan Heights • Chollas Creek • Bankers Hill • Using custom-built sensor kits and observe the air quality in selected neighborhoods • Numerous observations, data points collected, stories formed over time • inewsource guidance throughout process Chicano Park in Barrio Logan. Photo by Camelle Sison
  • 5. THE COLLABORATORS • Kevin Robinson (Geology) • Joe Yerardi, Lorie Hearn (inewsource) • Other departments on campus (e.g. Public Health, Geology, Geography) • Multiple guest speakers (e.g. data journalism, sensor tech, public health, etc.) • Community involvement: (e.g. sensor beta-testers, provided general feedback, etc.)
  • 6. MAPPING FOR EXPLORATION ARCGIS skills taught: • Navigating existing maps/ datasets • Creating layers • Adding in geo-located data points on a map • Merging datasets together on one map • Creating legends/keys • Sharing/publishing maps
  • 7. STORYTELLING AND SENSORS • 22 stories produced; 9 published on inewsource • 2 video explainers created • 1 interactive ESRI map of neighborhood sensor observations collected • Community observations map/dataset - forthcoming
  • 8. CONCLUSIONS • Geographic inquiry model - a solid framework to lead this kind of sensor journalism project (parallels between science/journalism) • ARCGIS was a crucial tool - the power of mapping data; telling important stories through location/maps • Exciting future for sensor journalism when combined with powerful maps - to tell important stories about the community on a micro level
  • 9. THANKS! QUESTIONS? ASCHMITZ@MAIL.SDSU.EDU @DIGITALAMYSW AND ROCKROBINSON@GMAIL.COM FOLLOW OUR NEWS COVERAGE: http://inewsource.org/whats-in-the-air/ TEACHING TIPS, BLOG, CLASS SYLLABUS AND MORE: sensorjournalism.wordpress.com