Presentation made for Ocean Data Factory Sweden webinar series on our next innovation cycle - "Filling Coastal Data Gaps - Let's Do it Ourselves!". Collaboration with Chalmers, SMHI, Mooringo, Ocean Tech Hub Lda on a marine citizen science low-code, low-cost sensor live case for 2nd year Industrial Economics MSc students Chalmers University of Technology Spring 2023.

1. Filling Coastal Data Gaps –
Let’s Do It Ourselves!
Innovation Cycle #7
Robin Teigland, Chalmers Univ of Technology
robin.teigland@chalmers.se
March 9, 2023
http://www.oceandatafactory.se/

2. “What makes ODF
Sweden distinct is that
our starting point is not
ocean data but rather
ocean challenges and
how ocean data can
address those
challenges. ”

3. #1 Shrimp
#2 Koster
#3 Algae #4 Growth
2019 2020
2020
2021

4. #5 Data
availability
#6 Citizen
Science
#7
do-it-
ourselves
Consolidate
#5, #6
2022
2022
2023
Activities, yes,
but few lasting
results?
Limited number
of data science
people…

5. “What makes ODF
Sweden distinct is that
our starting point is not
ocean data but rather
ocean challenges and
how ocean data can
address those
challenges. ”
Building
sensors?
Really?

6. 1. Leading and coordinating the process(es),
including taking decisions.
2. Building hardware and software.
3. Deploying instruments and acquiring data.
4. Managing the data (FAIR) to make them
useful.
5. Analyzing the data and produce
meaningful results.
6. Creating impact from results.
ODF Sweden
#7 starts here?
To do-it-ourselves would be ambitious

7. Maybe not equal
emphasis on
everything…
2. Building
instruments
4. Managing
data streams
3. Deploying &
operating
5. Analysis &
results
1. Governing,
funding?
6. Creating
impact
Experience &
resources
Relevant lead
partner
We can be
flexible.
To do-it-ourselves would be ambitious

8. Leading in a Digital World
Course TEK765 - Spring 2023
Professor Robin Teigland
PhD Candidate Ida Heathcote-Fumador
Entrepreneurship & Strategy Division

9. “Coastal Data Gap Do-it-ourselves”
Digital Innovation Challenge
Mar – Jun 2023
+
Chalmers BSc/MSc
in Industrial
Economics

10. Coastal Data Gap DIY Innovation Challenge
 Who?
 Project within Chalmers Course “Leading in a Digital World” (TEK765)
 Chalmers Faculty: Professor Robin Teigland, PhD Student Ida Heathcote-Fumador
 Approx 110 Chalmers Second Year MSc Industrial Economics students, divided into 20 student groups
 Sponsors – Ocean Data Factory, SMHI, Mooringo, Ocean Tech Hub Lda, GU, others?
 Why?
 To fill coastal data gaps through DIY marine citizen science
 To increase students’ ocean literacy and strengthen their data skills
 What?
 Sponsors propose Coastal Data Challenge Use Cases for Chalmers student groups
 Anticipated data collection & innovation foci
 Chalmers Student Groups develop Digital Innovations
 Including hardware and software prototypes and explanatory Google Site
 Each Chalmers Student Group pitches their Digital Innovation and submits a Pitch Presentation, Poster, and Video
 How?
 Chalmers Student Groups have access to Chalmers Revere Lab and FUSE Lab and are guided by lab
assistants, faculty and sponsors
 When?
 March 2023 to June 2023

11. Digital Innovation Challenges during previous years
2019 Lysekil Municipality
2020 City of Gothenburg
202 Akademiska Hus
2022 IKEA
2023 IKEA

12. The Lysekil Challenge
2019
In your teams, you are to conceive of
and pitch a digital innovation to help
Lysekil Kommun pursue its Vision
2030, which is ”Lysekil är en hållbar
och attraktiv kommun året runt som
kännetecknas av kreativitet och
framtidstro. Lysekil är en självklar
mötesplats och ledande inom
maritima näringar”.

13. Challenge Poster Exhibition in Central Lysekil

14. The Gothenburg
Smart City
Challenge
2020
In your teams, you are to
conceive of and pitch a digital
innovation to help the City of
Gothenburg pursue its vision of
becoming a Smart City as well as a
circular and sustainable one by
fulfilling the UN SDGs.
https://stadsutveckling.goteborg.se/smart-city-challenge/

15. A focus on data-driven innovation

16. Winner chosen through
“Eurovision voting” by City
jury and Resident voting

17. Akademiska Hus – Digital Innovation Challenge 2021

18. IKEA – Digital Innovation Challenge 2022 and 2023

19. “Coastal Data Gaps Do-it-ourselves”
Digital Innovation Challenge
Mar – Jun 2023
+
Chalmers BSc/MSc
in Industrial
Economics

20. Collaboration with Chalmers Revere Lab and FUSE Makerspace
Revere Lab FUSE

21. Frequency of marine studies with volunteer participation
Carcia-Soto, C., & van der Meeren, G. I. (2017). Advancing citizen science for coastal and ocean research.
European Marine Board IVZW.
• Above the surface
• Near the surface
• Below the surface

22. Potential Data Use Cases?
• Data Collection?
• Coastline
• Water levels
• Noise levels
• CO2 levels
• Water quality, eg cloudiness,
particles, salinity. temperature
• Marine litter
• Algal blooms
• Cyanobacteria
• Invasive species
• ?
• Use cases?
• Environmental
• Species monitoring
• Coastal erosion
• Power boat pollution
• River outflow
• ?
• Industry
• Aquaculture
• Commercial fishing
• Tourism
• ?
• Societal
• Ocean literacy
• ?

23. KdUINO DIY Buoy
Underwater
Diffuse
Attenuation
Coefficient
Bardaji, R., Sánchez, A. M., Simon, C., Wernand, M. R., & Piera, J. (2016). Estimating the
underwater diffuse attenuation coefficient with a low-cost instrument: The KdUINO DIY
buoy. Sensors, 16(3), 373.

24. https://hackaday.com/2022/02/19/diy-hydrophone-listens-in-on-the-deep-for-cheap/

26. Merlino, S., Locritani, M., Guarnieri, A., Delrosso, D., Bianucci, M., & Paterni, M. (2023). Marine Litter Tracking
System: A Case Study with Open-Source Technology and a Citizen Science-Based Approach. Sensors, 23(2), 935.
Solar-powered drifters for marine litter tracking

27. Low-Cost, DIY Ultrasonic
Water Level Sensor
https://tos.org/oceanography/article/a-low-cost-diy-ultrasonic-water-level-sensor-for-education-citizen-science-
and-research

29. https://actionproject.eu/sonic-kayaks-new-pollution-
sensors-for-citizen-science/
https://howtomechatronics.com/projects/diy-air-
quality-monitor-pm2-5-co2-voc-ozone-temp-hum-
arduino-meter/
Air Quality Monitoring

30. Merlino, S., Paterni, M., Locritani, M., Andriolo, U., Gonçalves, G., & Massetti, L. (2021). Citizen science for
marine litter detection and classification on unmanned aerial vehicle images. Water, 13(23), 3349.

31. Ierodiaconou, D., Kennedy, D. M., Pucino, N., Allan, B. M., McCarroll, R. J., Ferns, L. W., ... & Young, M. (2022).
Citizen science unoccupied aerial vehicles: A technique for advancing coastal data acquisition for management
and research. Continental Shelf Research, 244, 104800.

32. “Coastal Data Gap Do-it-ourselves”
Digital Innovation Challenge
Mar – Jun 2023
+
Chalmers BSc/MSc
in Industrial
Economics