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   The CS Education community has developed many educational tools in recent years, such as interactive exercises. Often the developer makes them freely available for use, hosted on their own server, and usually they are directly accessible within the instructor's LMS through the LTI protocol. As convenient as this can be, instructors using these third-party tools for their courses can experience issues related to data access and privacy concerns. The tools typically collect clickstream data on student use. But they might not make it easy for the instructor to access these data, and the institution might be concerned about privacy violations. While the developers might allow and even support local installation of the tool, this can be a difficult process unless the tool carefully designed for third-party installation. And integration of small tools within larger frameworks (like a type of interactive exercise within an eTextbook framework) is also difficult without proper design. This paper describes an ongoing containerization effort for the OpenDSA eTextbook project. Our goal is both to serve our needs by creating an easier-to-manage decomposition of the many tools and sub-servers required by this complex system, and also to provide an easily installable production environment that instructors can run locally. This new system provides better access to developer-level data analysis tools and potentially removes many FERPA-related privacy concerns. We also describe our efforts to integrate Caliper Analytics into OpenDSA to expand the data collection and analysis services. We hope that our containerization architecture can help provide a roadmap for similar projects to follow 

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   Physical infrastructures that facilitate e.g., delivery of power, water and communication capabilities are of intrinsic importance in our daily lives. Accurate maps of physical infrastructures are important for permitting, maintenance, repair and growth but can be considered a commercial and/or security risk. In this paper, we describe a method for obfuscating physical infrastructure maps that removes sensitive details while preserving key features that are important in commercial and research applications. We employ a three-tiered approach: tier 1 does simple location fuzzing, tier 2 maintains connectivity details but randomizes node/link locations, while at tier 3 only distributional properties of a network are preserved. We implement our tiered approach in a tool called Bokeh which operates on GIS shapefiles that include detailed location information of infrastructure and produces obfuscated maps. We describe a case study that applies Bokeh to a number of Internet Service Provider maps. The case study highlights how each tier removes increasing amounts of detail from maps. We discuss how Bokeh can be generally applied to other physical infrastructures or in local services that are increasingly used for e-marketing. 

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