# "*": "https://raw.githubusercontent.com/wefindx/schema/master/method/oo-item.yaml" # "base:title": "0oo - Community scheduling" "og:title": "Community scheduling" "og:description": "Assuming you could allocate who lives where, you could allocate everybody to a home that is within 10 minutes (walking or driving) of their office. You could pick a number of friends and you will be positioned so you are nearby your friends too. Centrally managed residences. A formula calculates how much you pay for your residential home that is fair. (Bigger house, pay more)" "og:image": "https://avatars0.githubusercontent.com/u/28134655" "og:url": "/method/4001/" "base:css": "/static/css/bootstrap.min.9c25540d6272.css" "base:extra-css": "/static/css/base.57997aeac1df.css" "base:favicon": "/static/favicon.acaa334f0136.ico" "base:body_class": "" "layout:logo": "/static/0oo.8d2a8bbef612.svg" "layout:index": "/" "layout:menu": "/menu/" "layout:categories": "/intents/" "layout:ideas": "/methods/" "layout:projects": "/projects/" "layout:users": "/users/" "layout:about": "/about/" "layout:help": "/help/" "layout:bug_report": "https://github.com/wefindx/0oo" "layout:login": "/accounts/login/" "layout:light-off": "/darken/?darken=true" "layout:set-multilingual": "/mulang/?mulang=true" "layout:lang": "语言" "layout:set-language-post-action": "/i18n/setlang/" "layout:csrf-token": "gyUkbnDDktOMHStfM2iuu8DD7Xf57wRr2lpJsbeZEudeRMkQDfSfvpdAD4vFVMEi" "layout:input-next": "/method/4001/" "layout:languages": [{"code": "ja", "is-active": "false", "name": "日本語"}, {"code": "lt", "is-active": "false", "name": "Lietuviškai"}, {"code": "zh-hans", "is-active": "true", "name": "简体中文"}, {"code": "en", "is-active": "false", "name": "English"}, {"code": "ru", "is-active": "false", "name": "Русский"}, {"code": "oo", "is-active": "false", "name": "O;o,"}] # "item:parent:intents": [{"url": "/intent/1314/", "title": "消除通勤"}] "item:title": "Community scheduling" "item:summary": "Schedule every human to a residential home that is near work" "item:voting": +1 "item:voting:add": "/admin/hlog/voting/add/?method=4001" "item:voting:csrf_token": "gyUkbnDDktOMHStfM2iuu8DD7Xf57wRr2lpJsbeZEudeRMkQDfSfvpdAD4vFVMEi" "item:voting:submit-value-option": {"selected": "[-]", "value": "-"} "item:base-administration": false "item:body": | Assuming you could allocate who lives where, you could allocate everybody to a home that is within 10 minutes (walking or driving) of their office. You could pick a number of friends and you will be positioned so you are nearby your friends too. Centrally managed residences. A formula calculates how much you pay for your residential home that is fair. (Bigger house, pay more) "item:source-date": "" "item:permalink": "/method/4001/?l=cn" "item:owner": "chronological" "item:created": "2021-03-18T19:48:20.981541" "item:ownerlink": "/user/198/chronological" # "item:link:add": "/admin/hlog/link/add/?parent=4001" "item:link:items": "item:project:items": # "item:comment:items": - "id": "a-7001" "mtrans": | 那么，它将如何运作？像groupon一样，但是....“ transferon”？是给同事还是给朋友？假设我订阅了此搬迁服务，介绍了我的工作和家庭住址，并选择了一些“梦想中的住所”（称其为“基地”），并邀请我的朋友也这样做了，那么，我们是否看到了其他选择搬家，或为每个人准备某种长期计划草图？ "text": | So, how would it work? Like groupon, but .... "transferon"? Is it more for coworkers, or for friends? Say, I subscribe to this relocation service, tell about my work and home location, and select a few "dream locations to live" (call it a "base"), and invite my friends do it too, then, do we see options to move, or some kind of long term plan sketches for everyone? "owner": "Mindey" "ownerlink": "/user/147/Mindey" "permalink": "/method/4001/?l=cn#a-7001" "created": "2021-03-21T17:48:54.023862" - "id": "a-8001" "mtrans": | 规划人们的住所以创造偶然性的想法是一个有趣的想法。 您描述自己喜欢咖啡馆。 该算法将尝试在您和您朋友的位置之间放置一个咖啡馆，以便您可以在那个咖啡馆见面。 "text": | The idea of planning people's residences to create serendipity is an interesting one. You describe that you like cafes. The algorithm will try place a cafe that is between you and your friend's location so you can meet at that cafe. "owner": "chronological" "ownerlink": "/user/198/chronological" "permalink": "/method/4001/?l=cn#a-8001" "created": "2021-03-21T17:50:07.030331" - "id": "a-9001" "mtrans": | 它将如何运作？我建议将其用于建造新城市： 将所有房屋，办公室都纳入一个大型算法中，以安置人员，并为人们提供距离办公地点10分钟以内的位置。每个人都应该获得一个好的位置。 "text": | How would it work? I suggest it be used to build a new city: Put all the housing lots, office lots into a big algorithm for placing people and give people locations that are within 10 minutes away from work office lots. Everybody should get a good position. "owner": "chronological" "ownerlink": "/user/198/chronological" "permalink": "/method/4001/?l=cn#a-9001" "created": "2021-03-21T17:52:15.981999" - "id": "a-10001" "mtrans": | //您描述自己喜欢咖啡馆。 好的，这涉及的越来越多，考虑到在保护每个人的权益的同时解决数据隐私问题并不是一项琐碎的市场和AI建议任务，但是显然，可以使用简单的调查表和一些同态加密来完成。 "text": | // You describe that you like cafes. Ok, that's getting more involved, and considering the data privacy problems to do it while preserving everyone's rights is not a trivial market and AI recommendation task, but obviously, can be done with simple questionnaires, with some homomorphic encryption. "owner": "Mindey" "ownerlink": "/user/147/Mindey" "permalink": "/method/4001/?l=cn#a-10001" "created": "2021-03-21T17:54:12.188041" - "id": "a-22001" "mtrans": | 我认为我们需要一个通用的资源调度程序。 一个组织可以有一个可以工作的组织。将人们分配给团队和工作。 "text": | I think we need a general purpose resource scheduler. An organisation could have one for jobs. Allocates people to teams, to jobs. "owner": "chronological" "ownerlink": "/user/198/chronological" "permalink": "/method/4001/?l=cn#a-22001" "created": "2021-04-07T21:17:40.877717" "base:js": "/static/js/base.c7357c06cc89.js"