胡鞍钢：与中国发展同行的国情研究专家

胡鞍钢很忙。打电话的时候他还在回北京的路上,说下午四点的时候在清华大学纳米楼有一个课程,针对博士后的。他说：“等课程结束了我们再聊。”     

傅正泰走出象牙塔的教育家

上午10点傅老在以前的海淀走读大学现今的北京城市学院四楼他那间简朴的办公室接待了我们。问了一下我的采访题目,便神清气爽地谈开了。两小时后我和我的同事离开了他的办公室,就在学校附近一个叫“马兰面馆”的店里叫了二碗拉面解决民生问题;去端凉菜的时候,我一眼看到了清瘦、微驼、稍黑的傅老,一手举着一块白薯、一边看着墙壁上的食谱。     

中西合璧的化学合成剂——康龙化成（北京）新药技术有限公司董事长楼柏良博士

像大多数海归一样，楼柏良虚怀若谷、不恃张扬。采访他的前前后后，他始终把同事、他人放在第一位：“如果说我今天有点成就，那也是所有同仁共同奋斗的结果”；“我不认为我做出了什么，这次接受采访，我倒是觉得我有义务为我们的团队、为中关村创业园的领导们说些什么。”     

互联网催生“草根民主”时代

“世界是平的”!“未来是湿的”!在这个科技带动下飞速旋转的小小寰球上，人们总是忍不住对现实和未来作出种种判断和预测。互联网一边改变着世界，一边激发着我们想象着更为久远的未来。不管怎么判断，我们至少可以看到的是，相比互联网产生之前，这个地球的人们从来没有像现在一样可以那么紧密和方便地联系在一起。整个世界在互联网上成了名副其实的“地球村”，生活于其中的居民因信息流而连为一体。     

“长风破浪会有时”，第三次IT创业潮涌动中关村

在平凡的事物中睁大你的眼睛，往往“见微而知著”。新华社记者迈开双脚，走访了坐落在海淀桥附近的“车库咖啡馆”，惊喜流诸笔端：“一边是韵味悠长的西式饮品，一边是最新的移动互联网产业话题。看似风马牛不相及的两件事物交织在一起，传递出中国硅谷的时代脉搏。在全球IT产业新旧交替之际，继上世纪80年代来两次创业潮之后，第三次IT创业潮正在中关村涌动。”     

考试舞弊和“押题”手段不同功利则一

今年的“高考”刚刚落幕，便读到两篇耐人寻味的报道：一则是《中国青年报》整版的长篇文章，说的是吉林省松原市扶余县“严查之下高考舞弊仍禁而不绝”。舞弊之猖狂令人目瞪口呆，诸如“教师卖作弊高科技器材获利80余万元”。     

虱子与文化

看这标题,有人就会想,虱子和文化,这两者好象不怎么沾边的。可是在我们中国历史上,却有一段话好说。查《辞海》,就有几行提到《晋书,王猛传》：“桓温入关,猛被褐而诣之,一面谈当世之事,扪虱而言,旁若无人。”桓温是东晋明帝的女婿,是有权势的驸马爷。那王猛居然敢随便身穿简陋的衣服去见他,还一边捏虱子一边谈话,态度这么失礼,傲慢,     

市场引擎：N世代新卖点

阿里巴巴在山洞前，轻声说了声：“芝蔗，开门!”——那个装满财富的宝库对他敞开了；他的哥哥高西木忘了这个咒语，大嚷着：“麦子、大豆、高粱……开门吧!”——不仅没有获得财宝，反而被闻声赶来的强盗杀死了……     

琉璃世界 美丽人间——记北京伟豪智能玻璃公司技术总监杨槐博士

每天早晨,杨槐很早起床,6点到实验室,开始一天的工作,一直到晚上10点才回去休息。对工作的全身心投入对他来说,这是再自然不过的一种生活方式。形成这样的生活习惯,跟杨槐本人在日本留学、工作了10年和经历是有关系的。年近不惑的杨槐开玩笑说,工作一忙起来,什么“惑”都忘了,当然会“不惑”了。杨槐有着中年学者特有的那种亲和力,他评价自己说:“我这人,是见面熟。”确实如此,他平易的谈吐反映出温和的性格。他的研究方向也是人们所常见的玻璃。中关村的数码大厦矗立在中关村的繁华地带,大厦的玻璃外观格外引人注目。杨槐所在的伟豪智能玻…     

土人，引领世界景观设计学——访北大教授、北京土人景观与建筑规划设计研究院院长俞孔坚

当1998年3月，俞孔坚创造出“土人”这个词语的时候，不知道有多少人能够体会他这个词的含义，但一直以来，“土人”就是他前行的重要指南。崔永元在《小崔说事》节目中以他特有的幽默曾调侃“土人”俞孔坚，以“土人”做公司名称，会有人找你们设计吗，人们是否怀疑“土人”只会做“土坯房子”？“土人”是什么？记者接到采访任务时也不禁一问？俞孔坚释疑解惑：土人，就是对土地负责，     

A Taxi Zoning Analysis Using Large-Scale Probe Data: A Case Study for Metropolitan Bangkok

Taxis are considered one of the most convenient means of transportation, especially when people have to travel off-route, where public transportation is not a feasible option, and also when they need to reach a destination according to what is most convenient for them. However, many issues exist about taxi services, such as the problems of passengers who are unable to get taxi service at the location of their choice, or problems concerning when they need the taxi service to arrive. These problems may be due to the unavailability of the taxi at that particular location or due to the taxi driver not wanting to provide service. A taxi driver may not want to provide service to a potential passenger, because they may have preferences on the direction and areas they want to go or because of the different types of service zoning. Understanding the behaviors of taxi drivers and the characteristics of the trip/travel might be helpful to solving such issues. In this study, we conducted an analysis from a questionnaire survey and large-scale taxi probe data to understand taxi service behavior, travel characteristics, and to discover taxi service zoning characteristics. As a result, four types of taxi service zones including isolated zones, interactive zones, special service zones, and target zones were encountered. Travel characteristics were calculated and analyzed at different criteria, such as weekdays, weekends, and various time windows in a single day. The result of these characteristics was explained according to their similarities and dissimilarities in each type of zone. The discovery of the different zones and their respective definitions might be a good initiative for further development of a policy for taxi drivers to provide better service for passengers.     

Facebook Content Strategies and Citizens’ Online Engagement: The Case of Greek Local Governments

This paper analyzes the communication strategies used by Greek local governments through the utilization of Web 2.0 technologies, specifically Facebook, and the effectiveness of these strategies in relation to citizens’ online engagement. More specifically, it examines Facebook communication strategies and levels of citizens’ engagement. For this purpose, we conducted a content analysis on the active and official Facebook pages of local municipalities in Greece from January 2017 until the end of September 2017. Our results suggest a rise in the percentage of active Facebook pages maintained by local governments in comparison to our 2014 study. Our results also show that local governments in Greece are using Facebook in a predominantly top-down manner to promote events organized by the municipality and to push one-way information to citizens about their services and actions. Local authorities have, however, made significant progress in relation to posts that support transparency and accountability and that enhance or mobilize citizens’ participation. Our evaluation of local government Facebook strategies indicates that marketing the municipality to external public, such as tourists, and providing information about services are effective strategies that drive citizens’ online attitude expression (liking), engagement (commenting), and advocacy behavior (sharing). According to our analysis, local governments in Greece prefer the strategies that we found to be the least engaging. In addition, our study provides interesting details of how specific characteristics and modes of Facebook messages (photos, videos, URLs, hashtags, and mentions) impact on citizens’ engagement. Finally, our results provide valuable insights for social media managers in local government who aim to increase the impact of their municipal Facebook pages.     

The Contents-Based Website Classification for the Internet Advertising Planning: An Empirical Application of the Natural Language Analysis

This study proposes a model for website classification using website content, and discusses applications for the Internet advertising (ad) strategies. Internet ad agencies have a vast amount of ad-spaces embedded in websites and have to choose which advertisements are feasible for place. Therefore, ad agencies have to know the properties and topics of each website to optimize advertising submission strategy. However, since website content is in natural languages, they have to convert these qualitative sentences into quantitative data if they want to classify websites using statistical models. To address this issue, this study applies statistical analysis to website information written in natural languages. We apply a dictionary of neologisms to decompose website sentences into words and create a data set of indicator matrices to classify the websites. From the data set, we estimate the topics of each website using latent Dirichlet allocation, which is fast and robust method for sparse matrices. Finally, we discuss how to apply the results obtained to optimize ad strategies.     

An Advertising Strategy Using Consumption Externality and Forgetting in the Case of Japanese Electronic Books

We construct a two-period model in which a consumer recognizes the existence of goods after advertised by firms, and total sales of the first period affect the utility of each consumer’s purchase in the second period, indicating a consumption externality. Some consumers see advertisements in the first period and remember the product, whereas some forget the product in the second period. We show that the advertising volume changes given the differences in the forgetting rate. In particular, we apply our method to the data on Japan’s electronic books obtained through a conjoint analysis survey to clarify that a better strategy is to sell a product to a small number of people at a low price or to lower the price to a certain level during the early period, and then to sell the product to a specific consumer segment at a higher price after reflecting the externality.     

一个75平方公里土地上的故事

科学城的目的就在于,能够深入激发创新资源活力,优化整合资源,加快推动重大科技成果转化和产业化。     

Data Mining Approach for Direct Marketing of Banking Products with Profit/Cost Analysis

Nowadays, many businesses, such as banks, use direct marketing methods to reach customers to minimize the campaigning cost and maximize the return rate. To achieve this, huge customer data should be analyzed to determine the most appropriate product offer for each customer and the most effective channel to reach her/him. However, since only a very small amount of responses collected from the customers are positive to the offers, the dataset is very imbalanced. This decreases sensitivity ratio of prediction results and makes it difficult to make a successful product and channel selection for the offer. In this paper, we propose a hybrid system, which first classifies the customers to decide if s/he is interested in the offered product, and then clusters them for product and channel suggestions. Experiments with real life banking data show very promising accuracy results for predicting the proper product and channel for the customers. Moreover, cost-profit analysis is also added to this problem. Our experiment results show that the proposed method decreases a fraction of the total profit, but since the decrease in the total cost is very large, there is a huge increase in the overall profit/cost ratio.     

Sirius卫星广播将发布交通和气象信息

Ford and the Minnesota Department of Transportation recently announced a partnership to construct an intelligent transportation system where cars will talk to the highway, and to each other, to keep passengers out of traffic jams and bad weather.     

北京迈向“世界城市”的路线图——读金元浦《北京：走向世界城市》拾片

＂文章合为时而著＂。摆在读者面前的这部《北京：走向世界城市》,是以著名学者金元浦教授为主编、集纳诸多学者、专家、官员智慧撰写成的＂北京建设世界城市发展战略研究报告＂。为＂北京建设世界城市＂集思广益、出谋划策、擘画出一纸清晰可见的完美＂路线图＂。     

戴贫帽成“特大喜讯”是贫困县政策之耻

如果我们始终在用巨款去诱惑大家成为贫困县,把成为贫困县当做英雄一样地奖励,那么当然是贫困的地方要去抢,不贫困的地方弄虚作假也要去抢,一个地方甚至可以既是百强县又是贫困县。