what intel I can share on asia and why I know next to nothing about africa
economistasean.com 10000 big-small investor trusts like asean
|History. ASEAN was established on 8 August 1967 in Bangkok by the five original member countries: Indonesia, Malaysia, Philippines, Singapore, and Thailand. Brunei Darussalam joined on 8 January 1984, Vietnam on 28 July 1995, Laos and Myanmar on 23 July 1997 (oddone out?), and Cambodia on 30 April 1999.||entrepreneurial revolution began at The Economist in 1968- inspired by the imminent success of the moon race- was there anything that optimal blending of human and computer webs could not do? whats strange is today we have no system design to put say 10000 bright young people on sustaining earth - the space race may have been taken over by big business but its goal was first achieved by organising open collaboration between 10000 people round one goal- much more important that ER is that it can be argued that the moon race inspired many peoples who hadn't even be linked in to electricity to develop the east - china came out from behind its great wall with help of inward investment from diaspora already 3rd richest; the poorest big 10 populated place bangladesh gained independence and empowered generation of girls to build community-rising economies and then there was ASEAN - a loving cooperation between 5 founding nations in every way that the EU has failed to begin to value|
- 8 years ago
- 319 views
Friday, April 7, 2023
Sunday, April 25, 2021
myanmar's asean weak link
so sad for people of myanmar
military will destroy their peoples unless biden and xi respect each other- isnt that geographically obvious
Monday, February 15, 2021
our world ai issue - selected topics
ai transportation eu commissioner adina valean
Luis NevesCΕΟ of the Global Enabling Sustainability Initiative (GeSI)
ai education -
Teach AI in schools. Win the tech race in 2030.
Member of the Hellenic Parliament, former President of the Youth of the European People’s Party
Ten years ago everyone was talking about the future referring to 2020 as a really special year. Every nation, every business, every sports team was making big plans. Well, COVID ruined most of them, except one. The COVID crisis accelerated technological advancements almost everywhere in the world. Zoom calls, Amazon orders, online project planners, gaming, Netflix and so many quarantine apps skyrocketed this year.
However the tech king that has really expanded horizontally this year is Artificial Intelligence (AI). Billions of people have experimented with face filters on a mobile app. Trillions of online purchases have been made because of personalized suggestions. And surely while 2020 has not been the best year for travelling, all those who went through international airports for some reason might have noticed automatic passport verification.
Chances are that you fall at least in one of those categories and if so you have been exposed to the power of AI which undoubtedly became a big part of our lives in 2020 without making too much noise. From face recognition to self-driving cars, AI is growing exponentially and we need to get ready for what is coming.
Kids entering first grade at elementary schools this year, will be joining the workforce in the decade of 2030. If today we consider AI to be part of the successful operations of a company or a government, we can only imagine that ten years from today it will be absolutely necessary. It will be omnipresent and its impact will be taken for granted. All industries, including transport, logistics, medicine, construction, defense, architecture, customer service and even tax authorities will be utilizing AI. We have a duty to prepare the next generation for what is to come.
That is the reason I submitted a proposal to the Greek Parliament for AI to be taught in schools. Obviously, no one is expecting for 1st graders to become Python developers, but if they learn from a young age how to think algorithmically, understand the purposes of AI and realise what this technology can achieve, then they will be able to go on and accomplish goals that are hard to even conceive today.
Concretely, basic methods and patterns can be taught in the early stages of elementary school, followed by establishing a good base in intuitive programming languages towards the end of elementary. Stepping on these building blocks, Machine Learning can be progressively taught as a lesson that combines mathematics and computer science, two subjects that already exist in schools. Gamifying this subject with competitions such as Robotics will also prove beneficial. Note that these steps create a hazy path that could be followed and mainly aim to initiate the conversation of AI training in schools. I expect that more bulletproof plans will be created by expert committees when that time comes.
A great experiment is going on in Scandinavia right now. Finland has foreseen the potential impact of AI and created a course for efficient and effective AI training for all, with an ultimate objective of at least 1% of the population getting trained. Similarly, Sweden spends over half a billion € on AI research programs such as W.A.S.P and heavily invests in its universities. Already in 2018 French President Macron announced the nation’s long term AI strategy and while also mentioning that the country will be investing north of 1.5billion € to boost France’s AI capabilities. These are just some of the examples that illustrate that Europe is taking this issue seriously.
All that said, no investment will matter if students across Europe today will not become part of the AI revolution. For kids with an inclination towards STEM subjects, highlighting to them the power of AI from an early age will only benefit them as they will have a longer time to cultivate a good understanding in the field. For all other students, that will eventually focus on other professions they will also likely end up utilizing the power of AI, so learning about it from a young age will ultimately give them skills and knowledge so as to become competitive and rise to the challenges of the 2030 decade.
ai beyond the state by ioan-dragos tudorache eu romania and chair ai digital age
the modern state, as shaped after the Peace of Westphalia, risks becoming the most helpless and likely future victim of artificial intelligence. With a slow, ossified, often inefficient and ineffective bureaucracy and administration, the state has but a single advantage in the face of all other structures that organize human activity: its size and its monopolies on providing security and — to varying extents — social services, as well as on writing and enforcing rules for how society and economy work. But its monopoly on power, which allowed it to withstand massive shocks throughout history (from wars to large-scale rise of disruptive technologies) can make things turn terribly wrong when it comes to AI, and not only in the EU but anywhere else.
Artificial intelligence, alongside the great opportunities it brings for humans, comes loaded with the means for the demise or the perversion of the state.Before the rise of artificial intelligence and the data economy, citizens entrusted the state with exclusive competences because the state was the only one large enough to provide certain services. The state was the only institution large enough to collect taxes, it was the only institution large enough to administrate natural monopolies, and it was the only institution large enough to maintain a standing army to counter other states’ standing armies.
Enter data, the new fuel — or even future currency — of the digital economy. And on this data, specifically because of the state’s inherent vulnerability to perversion from collecting data and building AI, the private sector has a cvasi-monopoly. The tables are turned: private companies are now increasingly more effective at providing what the state was historically entrusted to provide. And while there is yet no company that can match a modern state (even if because the state still holds a citizens-entrusted monopoly on making and enforcing rules), the trend is here, at our doorstep. As more and more of human activity becomes data-driven, data-fueled, and data-dependent, how can the state adapt, so that it can compete and survive?
Politicizing the 5G debate is not good for Europe Abraham Liu
Huawei Chief Representative to the EU Institutions
Eva KailiMember of the European Parliament from Greece (S&D), Chair of the Panel for the Future of Science and Technology (STOA), Member of the Committee on Industry, Research and Energy, Substitute Member of the Special Committee on Artificial Intelligence in a Digital Age
Adam BielanMember of the European Parliament from Poland (ECR), Member of the Special Committee on Artificial Intelligence in a Digital Age
Julia AndersonResearch Analyst, Bruegel
asean -unsingapore.com #br0 china #br1 rest of pacific west including rest of asia's eastern coastal belt form japan to singapore the intersection of continental asia east and south (1.1 japan 1.2 s.korea 1.3 singapore 1.4 rest asean 1.5 rest pacific west #br 2 south asia - 2/3 of humans are #br0-2
#br3 russia and north asia coast mainly iced up a major component of arctic circle
welcome to the fastest growing region in the world- august sees singapore convene world economic forum with task forces timelined to input to Economistdiary.com
unga 76 ny sept 2021
g20 italy oct 2021 -uae asian infrastructure investment bank annual meet
cop26 glagow nov 2021
dubai cares education transformation summit with expo 2021 december
economistsports.net and livesmatter.city commiserate with japan who pre-covid intended to celebrate world harmony with g20 in 2019 and Reiwa era blossoming into tokyo olympics, spciety5.0, osaka track bid data societal- welcome weforum/japan april 2020 virtual data world leaders forum and handover from uae to japan expo 2025
uplink and adamsmith.app
economistdiary.com welcomes support in network mapping likeminded task forces collaborating around 2021 most urgent sustainability agenda
Preparing for the Future of Work in Consumer Industries ...
Task Force on Digital Financing of the Sustainable ...
Financing of the Sustainable Development Goals (SDGs)
Established by the UN Secretary General, António Guterres, the Task Force on Digital Financing of the SDGs is mandated to identify how digitalization will reshape finance and to identify, theorize, and propose how best this transformation can support the financing of the SDGs, which, according to the UN require and estimated $5-7 trillion in annual investment.
Summer 2019 the un heard trstimony that 300 trillion dollars of western pension money does not yet see sdgs as asset grade
This undertaking requires consideration of the broader context of finance, technology, and the SDGs, and the narrowing to those areas of SDG financing that are changing due to digitalization. The World Economic Forum is supporting the UN in this effort through leading the work related to capital markets. As such, the group is answering four core questions:
- What is the current experience in harnessing the digitalization of finance in pursuit of the SDGs?
- What are the high-impact opportunities for digital financing of the SDGs today and in the future?
- What are the main impediments to realizing these opportunities and the risks associated with them, and how might those impediments be overcome?
- What actions are needed by which actors, including the United Nations, to overcome impediments and realize the identified opportunities?