Jake

📖 🔥 🌲 💻
25
London
May the best of your todays be the worst of your tomorrows.

[Jaynit Makwana @JaynitMakwana]

12 most clever & hilarious ads of all time:

1. Word Wildlife Foundation

[Crémieux @cremieuxrecueil]

The adoption of cellphones by Keralan fishermen is, I believe, the most stunning example of the contribution of information technology to market performance.

Take a look at this graph for background: in three different regions of Kerala, phones were adopted at different times.
Kozhikode got cellphones before Kannur, who got them before Kasaragod. Adoption by fishermen was fast when phones were finally introduced:
Now look at what happened to the price of fish after phones entered the scene:
The dispersion in prices virtually disappeared! The author of the study wrote about this that:

"Before any region had mobile phones, the degree of price dispersion across markets within a region on any given day is high, and there are many cases where the price is zero (i.e., waste). However, within a few weeks of mobile phones being introduced in Region I, there is a sharp and striking reduction in price dispersion. Prices across markets in the region rarely differ by more than a few rupees per kilogram on any day, compared to cases of as much as 10 Rs/kg prior to the introduction of mobile phones. In addition, the prices in the various markets rise and fall together and the week-to-week variability within each market is much smaller, since catchment zone-specific quantity shocks are now spread across markets via arbitrage. Further, there are no cases of waste in this region after phones are introduced.

"By contrast, price behavior in regions II and III appears largely unchanged after phones are introduced in region I. However, after mobile phones are introduced in region II, prices again become much less dispersed across markets on any given day, less variable within markets over time, and waste is ultimately eliminated, whereas region III again remains unchanged. Finally, the same pattern holds once region III adds phones."

Efficient information transmission enables efficient markets. It's amazing what technology can do.

Read the study here: https://t.co/JcgGQp3G0C

[Decent Patter @decentpatter]

this is amazing man 😂�

[Richard Hammond @RichardHammond]

Felt risky making this video; it’s very personal. But I hope it means something to you.

https://t.co/CzxpSYsOc7

[Leverhulme Centre for Wildfires 🔥 @centrewildfires]

Great to have Rob Gazzard @essexforester from the
@ForestryComm up at @ImperialDSI yesterday for really interesting talks & discussions around knowledge gaps and practical application of some our our research. More to come, I'm sure!
@RossellaArcucci @KeepingTheo @JakeLever

[Rob Gazzard @essexforester]

Thanks for a great afternoon @centrewildfires at @imperialcollege for the opportunity to discuss emerging and innovative research projects and their practical applications to #wildfire and #prescribedfire end users.

@KeepingTheo #UKWildfireReseach

[Frank McGovern - INACTIVE @FrankMcG]

“Hey remember those roles we didn’t let you hire for? I secured funding.”

[CERTEC @CERTEC_UPC]

📢Are you doing RESEARCH related to #WILDFIRES?

🔥👫Help us to analyse GENDER DISTRIBUTION within our community!

➡️ Please answer this quick (< 1 min) questionnaire and spread it! (no personal data needed)

https://t.co/mfbeVptwwf

#gender #wildfires #bushfires #forestfires

[Katie Stringer @katiestringer_]

Officially a Dr! Thanks for a genuinely enjoyable viva @SelinaWray and Jeff Savas, and thank you @neurochem4 for being the best supervisor anyone could ask for 🧠

[Grantham Institute Imperial @Grantham_IC]

🔥🚒 Researchers at @ImperialDSI, @JakeLever and Dr @RossellaArcucci, have developed a new #machinelearning model that uses social media data to predict and monitor #wildfires more accurately in real-time.

Read more 👇
https://t.co/Xe8ZxYLD16

[Imperial Business School @ImperialBiz]

Wildfires & social media 🔥 🤳

Data scientists @JakeLever & Dr @RossellaArcucci from @ImperialDSI have developed a new #MachineLearning model that uses social media data to predict wildfires in real-time 🚒

Find out how ⤵️
https://t.co/cjnRymxEwf

[Leverhulme Centre for Wildfires 🔥 @centrewildfires]

“Instead of having a network of cameras or climate sensors to track a wildfire, you can use a network of social media users or ‘human sensors’ posting information about a disaster in real-time.” @JakeLever, and @RossellaArcucci talk about their new paper
https://t.co/G7nQ5KT087

[Led By Donkeys @ByDonkeys]

This is Brexit

[Ben Phillips @benphillips76]

A clip from Don’t Look Up, and then a real TV interview that just happened

[Jake @JakeLever]

Social Data Assimilation of Human Sensor Networks for Wildfires | The15th International Conference on PErvasive Technologies Related to Assistive Environments https://t.co/L1KPme1jq7

[Will Bailey-Watson @mrwbw]

What a wonderfully misleading diagram in the Times today 📈

[Scott Bryan @scottygb]

Best flag at Glastonbury so far.

“This is a work event.”

[Rate My Takeaway @RateMyTakeaway]

Binley Mega Chippy?
Complete it mate