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welcome

note: A) always a pleasure to come, intellectually stimulating debate and learn from you wisdom
B) report work progress, share ideas, most important hear from you your opinions 1) what works, what doesn't 2) where my work should be heading 3) the means to achieve that

knowledge lab

why

theory of change


note: For the past two years, I have been putting a lot of thoughts and I keep asking myself what is it that we want to achieve at the end of the day: I want to create a best possible analysis/report, and I want people use them, and influence policy and change behaviour, ultimately to better conserve the planets’ most outstanding places.

I haven't got there, yet...

'theory' of change


note: I have the privilege to have worked on various projects contributing to IUCN's e, m, upstream
the reality a) painstakingly compile a lot of biodiversity observation data, sometimes modelled abstruse data; b) turn these data into even more abstruse scientific analysis and thick papers 3) our audience find it hard to understand and use - > didn't achieve the impact:
a) not good enough work; b) just not enough packaging - making their life difficult?

what

bridge the gap

between generation and uptake of knowledge products note: a) KL is what I hope will be initiative, the vehicle to carry that thinking and address the problems
b) to bridge the gap or better facilitate between production of knowledge products and their consumption - in order be more impactful.
c) I want a shift of delivering such analytical work to 1) easy to access and understand 2) more public facing, communication oriented

promote the use of web

in communicating analytics and digital tools note: a) to better reach audience by tapping into opportunities it offers 1. direct and ubiquitous access with internet 2. interactive and engaging 3. dynamic and agile, i.e., quick to modify and improve
b) reports are less appealing, if I, as an author, can’t be bothered to read my own work of 70 pages. I find it powerless to convince other people to read.
c) five minutes attention span. fundamentally there is too much information and too little time - People are busy, swamped by information around them, spoiled by the influx of wealth of information.

central hub

for all digital products in the making note: 1) physical manifestation.
2) single entry point for all products, making it easier to navigate
3) initially all MAVA deliverables under activity 1.2 but could be a common place for any work-in progress digital products in the future

collect ideas

for improvement and future development note: a step at a time. incremental improvement (as opposed to disruptive innovation), needs directions. Platform to gather feedbacks and solicit good ideas.

how

note: design principles; KL itself but also for each knowledge product in the lab

keep it simple

(and do less!)

note: 1. it is not rocket science, nor even research we do - risk losing out of touch - no need to be complicated and full of jargons.
2. it is about what we do; but also about what we don't do -> concious of resource. a) Don't reinvent wheel. b) Do less but do it very well. 3. concious of limited resources; one thing at a time, set ambitious goals but with achievable low aims

extendible and scalable

link, provide services, and extend beyond WH note: with future extendibility in mind.

  1. intrinsically not in isolation - imperative connection to existing more established KP
  2. easily extendible to have additional functionality. modern architecture, web services
  3. WH trailblazing, but equally could be scaled up to other protected areas

open

Data, methodology and result note: open data, open technology and open accessibility. Source code, analytics reproducible. empower others.

  1. certainly external pressure to be open, because many are open
  2. personal view that data etc should not be held back.
  3. benefits from transparency: allow comments, healthy debate that leads to better ideas, solution and outcome. 2) empower others

responsive

any device note:

  1. maximise accessibility. no matter what terminal device is used. to make it easy for them
  2. mobile first design.

demo

climate change vulnerability

on the shoulders of giants

powered by species climate change vulnerability assessments

note:

  1. based on the work by Foden 2012, GSP.
  2. reuse their finding and make it relevant for WH

sensitivity, low adaptability and exposure

note:

  1. the concept: is it sensitive to cc, traits adaptable, will it be exposed
  2. only when they are high score of all three, are they considered climate change vulnerable
  3. scores are relative. Thus can't compared across taxa

outlook from the lens of species

note:

  1. infer species within WH using RL
  2. aggregate all species CCV results within WH
  3. Are species most vulnerable outside WH or inside
  4. to what extent do WH provides refugee, high number of ccv species, management responses
  5. monitoring work. What are the sites that are ccv? in those sites, what are the species that are ccv? What traits leads to their ccv status? What management response could be? delineation based on future extent of such species?

demo

land cover change

highest spatial resolution global land cover

GlobeLand30 - 30 meter resolution

note: first time 30 meter global land cover - datasets two time epochs using the same methodology thus change can be estimated

pixel by pixel change

From 2000 to 2010

note: what we did - calculate pixel by pixel change within each WH site

new perspective for screening potential threats

note: validation required. it tells you what but not why - another source of potential threats.

  1. example, WHO assessment. Could refer to the LCC for any substantial change, if so, this signals an alert, if otherwise unknown, a possible damaging event. forest loss, water body change, amongst others.

demo

  • Land Cover change note: first time comprehensive, systematic land class mapping exercise, first time investigated the dynamics of change, first time used the web as a media to deliver findings

near real-time landsat 8 imagery

what is remote sensing?

note: sense from a distance, on board aircraft and satellite. Valuable, frequent direct observations of features, such as... on the ground from a distance. E.g. look at spetrum of infrared, tell a lot about vegetation.

Landsat 8 imagery in the cloud

note: archiving, no longer relevant -> no need to host data in house while it's ubiquitous and easily accessible

What do they look like... NOW?

note: move away from the original goal, frees time for more interest work

  1. Time series data, finds the best image (cloud free) in any past given time range. composition of spectra.
  2. already an idea or on information that is reported, photographic proof if there is any supporting evidence from remote sensing
<iframe width="1080" height="600" data-src="https://www.mapbox.com/bites/00114/" frameborder="0"></iframe> note: cloud, web services: data is on the internet and can be easily accessed and customised without the need to download. Computation on the cloud

future beyond pretty pictures

note: as it stands only visuals - immense opportunity and potential to better visualise but also analyse in the cloud.

  1. change of NDVI, vegetation index overtime
  2. give you land cover classification on the fly, dynamically (GEE) - tell you also what they are and how they change

demo

  • Landsat 8 for natural World Heritage note: first web service based product. Dynamic in that as long as new data comes in, the maps will be automatically updated. Little or no maintenance cost.

spatial comparative analysis

(Prototype)

gaps and comparisons, spatially

note: from a data point of view, identify where broad gaps are; if a hypothetical site is to be submitted, how does it compare to existing sites.

proof of concept

for now

note: to replicate desktop system and make it accessible -> enable wider public to undertake a first screening of their intended sites

full development

replicating full functionalities of spatial comparative analysis

note: prototype done, delayed in communication due to UNESCO, full specification done and next step fund raising

  1. proper spatial analysis
  2. complete datasets
  3. improved user experience

demo

  • Spatial comparative analysis prototype note: web GIS for the first time, complete system that takes input from the frontend interface, pass onto an underlying GIS database for analysis and then return the result to the web.

World Heritage spatial data

my first task as GIS Analyst...

note: 1. digitised 150 of 200 sites;
forms an important contribution to the WDPA 2. humble beginning as KML to flexible data products; from the outside it doesn't change much but inside much, as part of continuous improvement work.

Wait...

Didn't we already have ProtectedPlanet? note: clunky, no dedicated or even intuitive interface for just WH sites; cannot be easily extended for use outside protectedplanet

World Heritage boundary

as a data service

note: A prioritisation exercise where I was asked to look at the relationship between intact forest and existing WH sites, with a view to identifying sites with significant overlap. I made 238 maps, to the maximum detail, despite the massive effort (more than 1G in size). Cannot address every user needs, zoom in here, look at a bigger picture -> why not enable them to do it themselves? The WH boundary lets you do just that.

demo

challenges
&
opportunities

note: synonyms;

technology is fast evolving

note: All parts of GIS in the cloud
amazing speed of evolution. e.g. GIS: storage, analysis, presentation of geographic information -> in the cloud, accessible, and dead simple. e.g. irrelevance of my initial effort to archive Landsat 8 data in house. disruptive innovation may drive some of work obsolete.

capacity

note:

  1. naturally leading to need to catch up
  2. training to catch up: cloud based computing
  3. harness the power or work risk being made irrelevance in the not-too-distant future.

resource

note:

  1. cost saving opportunity with performance and productivity boost.
  2. missed opportunity to make even bigger impact. Split between doing the work, WHO: compile expert knowledge <-> delivering the message to the end users.
  3. never a one-off effort, maintenance, honing.
  4. good understanding of resource requirements for creating good products that are robust and long term sustainable, e.g. WHO. scope large, functional, but to do it properly, need more resources.
  5. code not developed well, design is, CMS a mess, and not responsive.

user buy-in

note: ultimately it is the users we want to influence, educate and modify their behaviours. Without user buy-in, it would be hard work, with little impact. That's why I am here today, advocating and trying to convince you that 1) this is indeed a good idea 2) get you on-board this journey and get your feedbacks 3) first users to start using and promoting them.

"If you want to go quickly, go alone. If you want to go far, go together." note:

  1. end with an African proverb. I don't want to consider this as an Y project alone, but something we are all part of; as we are all generating knowledge and communicating to our end users
  2. no need to be in a hurry and rush, take a moment a) think about it b) start using it c) think again d) implement. Until 2017/2018

questions

Thank you

Yichuan Shi
[email protected]
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