AI Prompt Engineering Trial 1

Community Engagement 1,... 20, 21 & 22

Update 2: See the next step here in experimenting with AI for good via this CIC

Update 1: See companion Medium article Stop AI scraping your internet data.

The previous post (blog) introduced how our CIC will attempt to find government source data of interest to East Anglia Parishes, in order to assist in creating web pages for all 254 of them. AI is used here to assist the task of seeking information then creating website templates over large numbers of sources to a large number of pages. This is in order to bridge the digital divide of rural citizens and their administrations, which are not plugged into centralised corporate or government ecosystems. We acknowledge the assistance of local Wikimedians (here), who are transforming voluminous IPCC (Wikipedia) reports into text the general public can grasp, retain and take action on.

Cottenham Open CIC rebooted

Community Engagement  1, ... 12, 13, 14, 15, 16, 17, 18, 19, 20 & 21

Update: the next post (here) will show how a blog post on creating maps, is created by generating prompts  using Bing AI in a Udemy course on prompt engineering following STAR (style-task-audience-role).

Re-engaging après-COVID what is in LinkedIn, below & Esri Hub: Part 1 outlined Community Engagement. Part 2 built a story introducing the community. Part 3 tied together community maps and climate mapping. Part 4 introduced a process framework for this community engagement. Part 5 expanded on our aim toward a community engagement.  Part 6 added our own Wikipedia Gazetteer as we build up the local landscape. Part 7 showed a draft Press Release introducing our social enterprise. Part 8 on coastal inundation scenarios adds some parameters in the debate. Part 9 on temperature anomaly scenarios further constrains the debate. Part 10 followed up village engagement process via recent Parish Council update. Part 11 added flood risks to coastal inundation and temperature regime models. Part 12 described Cambridgeshire Parishes affected by sea level rise. And finally here we introduce AI with a local twist.

Sea Level Rise update

The last post before peatlands (recent update here) was the East Anglia flood protection infrastructure here - both used extensive Environment Agency data, publicly available if needing some (at time extensive) work as described therein. Here are further DIY resources to create maps like this fun pirate map of East Anglia under 12 m. water est. around 2150AD (from here updated here):

Community, climate and maps - an update

Update: see a follow-on post to sea level rise in East Anglia here.

 This is a follow on to this post: lets address one of the update items, Fire & Ice, in the light of an early and vicious start  to the Canadian fire season. The question is: notwithstanding this year's events, is there an increase in fires and if so, can they be related to climate change as, say, in California?

Rewater peatlands to mitigate climate change update

Update: see a follow-on post to fire maps in the news here.

In my Story Map Portfolio, step past the first five on climate issues, and the next seven on East Anglia environs affected by climate emergency, to my last and most comprehensive one: Fenlands Challenge - below and fully here - was submitted to a UN Sustainable Development Goals call for story maps; it lays out opportunities and challenges in rewatering peatlands as the most effective way to counter greenhouse gas effects on climate warming. 

A brief history of mine

Update: a duo of posts on my Medium professional channel here relates my early computing.

As I go through a 'hard reset' in my life and am exiting social media by&large, this may be a good time to pause and reflect on my IT journey.