CAREER: Banalytics: Behavioral Network Analytics with Data Transparency

来自客户的数据成为许多公司业务的核心，未来社会的进步在很大程度上取决于科学家和公共决策者访问公民数据。但如何协调进步与隐私？这种困境，每天都在变得更糟，因为我们缺乏一个抽象的分析-识别和利用个人类型和趋势的科学-对用户透明，他们可以有效地拥有和交易他们的数据。如今对专有数据的分析，以及对其监管的高度争议，似乎是缺乏可靠替代品的必要之恶。该项目旨在通过以下方式解决这一难题：（1）构建与分布式个人数据系统兼容的行为分析，（2）展示如何更好地利用背景和社会影响，以及（3）实现增量部署沿着互惠互利，使隐私具有经济效益。主要研究者将探索一种新的抽象-行为网络-并使用矩阵分解，利用社会影响力的算法和网络激励分析的最新结果显示其易处理性。Banalytics将展示其对各种分析任务的适用性，包括数据收集、行为定位、内容评级和推荐。更广泛的影响：对个人数据专有访问进行监管的必要性在新的隐私法案中得到了大量讨论。不幸的是，控制关起门来使用的个人数据是非常复杂的，使得自上而下的监管执法要么无效，要么对网络的自由和繁荣生活造成潜在的灾难。Banalytics项目探索并提供替代设计，赋予用户权力，为这一重要的社会辩论提供信息，以实现更好的自我监管。协调隐私和进步的合理解决方案不仅至关重要，而且需要广泛传播和理解。Banalytics的目标是影响广大学生的教育-不仅是未来的工程师，也是未来的记者告知我们的公民-关于个人信息及其技术，经济和社会方面的管理。通过与哥伦比亚新闻学院的密切合作，首席研究员将促进一个独特的跨学科教育计划，让所有的学生和公民，特别是那些谁可能不会表达对计算机科学的兴趣，从事这一努力。

Data from customers become central to many companies' business, and tomorrow's society's progress critically depends on scientists and public decision makers accessing citizens' data. But how to reconcile progress with privacy? This dilemma, everyday, is getting worse, because we lack an abstraction where analytics -- the science of identifying and exploiting individual types and trends -- are transparent to users and they can effectively own and trade their data. Today's analytics on proprietary data, and its highly debated need for regulation, seems a necessary evil for a lack of credible alternative. This project aims at unlocking this tussle by (1) building behavioral analytics that are compatible with distributed systems of personal data, (2) showing how context and social influence can be better leveraged, and (3) enabling incremental deployment along mutual benefits to make privacy economically efficient. The principal investigator will explore a new abstraction -- Behavioral Networks -- and show its tractability using recent results in matrix factorization, algorithms exploiting social influence, and analysis of networked incentives. Banalytics will demonstrate its applicability to various analytics tasks, including data collection, behavioral targeting, content rating and recommendation. Broader Impact:The need to regulate proprietary access to personal data is heavily discussed towards a new Privacy Bill. Unfortunately, controlling personal data used behind closed doors is highly complex, making enforcement of top-down regulation either ineffective or potentially disastrous for the free and thriving life of the web. The Banalytics project explores and makes available alternative designs empowering users, to inform this important societal debate towards better self-regulation.Not only are sound solutions to reconcile privacy and progress essential, but they need to be disseminated and understood broadly. Banalytics aims to impact the education of students at large -- not only future engineers but also the future journalists informing our citizens -- on the management of personal information and its technical, economic and societal aspects. Through close collaboration with the Columbia School of Journalism, the principal investigator will promote a unique interdisciplinary education program to allow all students and citizens, especially those who might not otherwise express interest in computer science, to be engaged in this effort.