Crowdsourcing and storytelling by gamification. The document discusses how crowdsourcing can be used to collect geospatial data as data is increasingly abundant. It proposes using games as a platform to visualize crowdsourced data and tell stories with maps to gain insights. Examples mentioned include using games to collect data on issues like haze and an interactive 3D cholera map that helped prove John Snow's theory on how cholera spreads through water contamination.

1. Crowdsourcing and
Storytelling by
Gamification
Dany Laksono
June 20, 2020
Webinar Geoinformatics Talk
Laboratorium Geoinformatika dan Infrastruktur Informasi
Geospasial
Departemen Teknik Geodesi UGM

2. Crowdsourcing and Storytelling by Gamification
• The DRIP: Data Explosion
• Crowdsourcing Geospatial Data
• Storytelling?
• Gamification: Game as platform for data visualization

3. UGM.AC.ID
Getting Data: Then and Now
Data is hard to find Flooded with data
Then Now

4. UGM.AC.ID
Data-Rich, Information Poor
Kemampuan kita untuk
memproses data tidak
sebanding dengan jumlah
data yang harus diproses
dan yang terus bertambah
setiap harinya
The Exaflood: Tsunami of Data
?
Data,data,data

5. UGM.AC.ID
"Over 2.5 quintillion bytes
of data are created every single
day, and it's only going to grow
from there. By 2020, it's
estimated that 1.7MB of data will
be created every
second for every person on earth.“
(DOMO Report 2019)
“The general consensus among
researchers from various domains
is that ‘80% of data is
geographic’”
(Morais, 2016)

6. UGM.AC.ID
New methods are
required to gain insights
from data
The Age of
Data DATA is getting easier
to produce
Sources of Data is
getting more varied

7. Crowdsourci
ng
‘Crowdsourcing’: A process in which a large group of people
is asked to perform business functions that are either difficult
to automate or expensive to implement
(Howe, 2005)

8. Potensi data crowdsourcing di Indonesia
2018 World Giving Index, Charities Aid Foundation
(CAF)

9. GOOGLE OSM
HEREBING
http://comparemaps.drona.ro/

10. 3D data based on crowdsourced
information

11. UGM.AC.ID
Tingkatan dalam CrowdSourcing
Garbage In = Garbage
Out
but
Linus’ Law: More
contributors, Less
error

12. UGM.AC.ID
Liput Gambut
A Mobile Application to collect data based on user
input, social media tags and services to report and
verify haze mitigation in peatland areas
Geocrowd Dashboard
Geocrowd App
User report Real World
Phenomenon
Real time Hotspot API
HotSpot Verification
(GPS + Foto + Form)

13. How to gain insights from these data?

14. How to gain insights from these data?
(Caldarola & Rinaldi, 2017)

15. Visualisasi membuka dimensi baru te

16. Every data tells a story
https://multimedia.scmp.com/culture/article/SCMP-printed-
graphics-memory/lonelyGraphics/202004A256.html

17. Visualisasi membuka dimensi baru te
Youtube.com/febianns

18. Geovisualization
Geovisualization: Gaining insights, finding hidden pattern from da

19. Storytelling with Da

20. Every data tells a story http://minardmap.org/#map
(Eugene Turner, 1977)

21. Storytelling with Ma
https://geopark4rote.com/

22. Storytelling with Ma
https://geopark4rote.com/
https://atlastanahjawi.github.io/Atlas-Babad-Tanah-
Jawi/peta.html

23. Gamification?

24. UGM.AC.ID
Game engine as crowdsourcing
platform

25. UGM.AC.ID
Game engine as Geospatial
Visualization Platform

26. Game engine as a Storytelling
Platform

27. The Ghost Map: John Snow’s
Map on 1854 London’s
Cholera
https://ralucanicola.github.io/cholera-map-3D/

28. http://spatial.ly/
Peta yang dibuat oleh John
Snow bukanlah satu-satunya
usaha untuk memetakan
Cholera di London tahun
1850an.
Mengapa metodenya berhasil?
Peta William Farr tentang teori ‘Miasma’Peta Hector Gavin tentang ‘Death Mist’

29. Kombinasi dari metode
pengumpulan data dan
visualisasi data dalam bentuk
peta berhasil membuat John
Snow meyakinkan teorinya
tentang penyebaran Cholera
melalui air, dan bukan melalui
bau busuk di udara
https://ralucanicola.github.io/cholera-map-3D/
Penutup
How we collect
and present the data
matters

30. TERIMA KASIH