tomorrow, Friday, June 1, at 2:00-3:30pm in CSE503. Here are abstracts: Open Data Kit Tables Hilary Worden Tables are used to organize data in a wide variety of situations, but the spreadsheet applications that are commonly used to store tables lack features that many organizations might like to have in their data management software. For example, a clinic might want to edit data through custom forms to reduce errors, allow patients without computers to schedule appointments through SMS messages, or design their own display screens that connect tables for patients, appointments, and doctors together to create a unified application. ODK Tables is an Android application that allows users to control how their data is managed and displayed with just HTML and JavaScript, to provide a customized app with low overhead. ODK Tables Cloud Synchronization Dylan Price ODK Tables requires a data synchronization system to help users backup and share their data. It is built on top of the existence data storage layer provided by ODK Aggregate permitting cloud-based implementations as well as a server deployed by an organization for its own private purposes. The system is a flexible, open source solution which will enable organizations to give workers in the field the ability to share data between phones, as well as save the data to a server or the cloud in a robust, scalable manner. In this talk, I will cover the basic concepts and usage of the synchronization protocol, then delve into 2 or 3 design challenges I faced while building it. Finally I will discuss some evaluations and performance numbers of the protocol and finish with the expected future direction of this work. Vaccine Cold-Chain Visualization Melissa Winstanley As new vaccines are introduced in countries around the world, one important restriction on the success of immunization programs is the health of a country’s vaccine cold chain. To address the issue of cold chain management, the organization Program for Appropriate Technology in Health (PATH) developed the Cold Chain Equipment Manager (CCEM) to maintain, analyze, and predict the success of a country’s vaccine cold chain. CCEM does not, however, contain any tool to visualize data geographically. To rectify this deficiency, we developed a CCEM Visualizer application to display cold chain data. The Visualizer is a Ruby on Rails web application that relies on the Google Maps API, allowing for custom mapping features. Initial user feedback and analysis confirms that the CCEM Visualizer would be useful for national health workers to manage vaccine cold chain vitality and coordinate responses.