Brandie Nonnecke

Personalized Telehealth in the Future: A Global Research Agenda

As telehealth plays an even greater role in global health care delivery, it will be increasingly important to develop a strong evidence base of successful, innovative telehealth solutions that can lead to scalable and sustainable telehealth programs. This paper has two aims: (1) to describe the challenges of promoting telehealth implementation to advance adoption and (2) to present a global research agenda for personalized telehealth within chronic disease management. Using evidence from the United States and the European Union, this paper provides a global overview of the current state of telehealth services and benefits, presents fundamental principles that must be addressed to advance the status quo, and provides a framework for current and future research initiatives within telehealth for personalized care, treatment, and prevention. A broad, multinational research agenda can provide a uniform framework for identifying and rapidly replicating best practices, while concurrently fostering global collaboration in the development and rigorous testing of new and emerging telehealth technologies. In this paper, the members of the Transatlantic Telehealth Research Network offer a 12-point research agenda for future telehealth applications within chronic disease management.

M-CAFE: Managing MOOC Student Feedback with Collaborative Filtering

Ongoing student feedback on course content and assignments can be valuable for MOOC instructors in the absence of face-to-face-interaction. To collect ongoing feedback and scalably identify valuable suggestions, we built the MOOC Collaborative Assessment and Feedback Engine (M-CAFE). This mobile platform allows MOOC students to numerically assess the course, their own performance, and provide textual suggestions about how the course could be improved on a weekly basis. M-CAFE allows students to visualize how they compare with their peers and read and evaluate what others have suggested, providing peer-to-peer collaborative filtering. We evaluate M-CAFE based on data from two EdX MOOCs.

A Case Study in Mobile-Optimized vs. Responsive Web Application Design

Responsive web design is being widely adopted to maintain usability across a diversity of devices and screen sizes in contrast to earlier approaches which focus only on mobile or non-mobile (desktop) devices. This paper evaluates the effectiveness of responsive web design with a specific case study, the California Report Card, an online civic engagement tool. We compare Version 1.0, a mobile-optimized design, with Version 2.0, a responsive web design and consider three hypotheses: (H1) a mobile-optimized web application will receive most of its users from mobile devices, (H2) mobile-optimized design loses engagement from non-mobile users and (H3) responsive design mitigates these losses. Our results support H2 and H3 but not H1. These results support the adoption of responsive web design to maintain access for the significant population of non-mobile (desktop) users.

DevCAFE 1.0: A participatory platform for assessing development initiatives in the field

The design and assessment of development initiatives is increasingly participatory, where decision makers consider feedback from affected populations. While digital data collection facilitates faster and more reliable analysis, existing data collection tools are not optimized for unstructured qualitative (textual) data and peer-to-peer participant collaboration. In this paper, we propose a system called the Development Collaborative Assessment and Feedback Engine version 1.0 (DevCAFE), a customizable participatory assessment platform that collects and integrates quantitative assessment, qualitative feedback and peer-to-peer collaborative filtering. DevCAFE incorporates a library of statistical analyses for researchers to quickly identify quantitative and qualitative trends while collecting field data. DevCAFE can run on any mobile device with a Web-browser and can work with or without Internet connectivity. We present results from two pilot projects: (1) 137 participants evaluating family planning education trainings at three Nutrition Education Centers in rural Uganda, and (2) 4,518 participants evaluating policy priorities for elected leaders in the June 2015 Mexico mid-term elections. DevCAFE collected over 19,000 peer-to-peer ratings of 336 submitted ideas. Feedback gathered through DevCAFE enabled targeted reforms to the family planning efforts in Uganda and the need for increased government attention to public safety in Mexico. Case studies and interactive demos are available at: http://opinion.berkeley.edu/devcafe/.

M-CAFE 2.0: A Scalable Platform with Comparative Plots and Topic Tagging for Ongoing Course Feedback

M-CAFE 2.0 is an online and mobile platform that uses collaborative filtering to collect and organize student feedback each week throughout a MOOC or an on-campus course to facilitate mid-course corrections by instructors. M-CAFE 2.0 encourages students to assess course content, structure, and suggestions provided by their peers. It requires minimal extra effort from instructors and is anonymous and separate from all student records. We present results from three pilot studies from on-campus undergraduate courses with 1,211 evaluations and 5,221 peer-ratings from 169 students. Results suggest that comparative plots of past ratings, topic tags and peer-to-peer anonymous suggestion evaluations are valuable in promoting credible and diverse course evaluation. M-CAFE 2.0 is available at m-cafe.org.

Development of a Knowledge Management System for Energy Driven by Public Feedback

The Nuclear Engineering Department at the University of California, Berkeley, in collaboration with the Industrial Engineering and Operations Research Department and the University of Lincoln in the United Kingdom, is proposing to create an open web platform that makes high-quality scientific data on energy sources readily available, assembles those data into metrics more suitable to the general public’s knowledge and interest (e.g. impact on the family’s budget or green house gas emission), and visually renders such information in a straightforward manner.

Crowdsourcing Internet Governance: The Case of ICANN's Strategy Panel on Multistakeholder Innovation

Internet governance issues are diverse in scope and transnational in scale, making issue awareness and consensus building among relevant stakeholders a logistical leviathan. Historically, the identification and resolution of internet governance issues have remained within the purview of technical bodies (lead primarily by the private sector) and governments. Lack of centralized control over the internet created a situation where no single player has ultimate jurisdiction over the technical and political regulation of the web. This shift in power has resulted in creation of a range of multistakeholder forums to promote both discourse among various actors about internet governance issues and potential solutions, as well as binding decision-making. On the one end of the spectrum are non-binding organizations, such the Internet Governance Forum (IGF). Established in 2006, the IGF seeks to encourage deliberation about internet governance that embodies “international cooperation, collaboration, and implementation” among diverse stakeholders, albeit without binding or prescriptive outcomes (Napoli, 2008, p. 3).1 On the other end of the spectrum are organizations that produce concrete binding rules and regulations, such as the Internet Corporation for Assigned Names and Numbers (ICANN). Founded in 1998, in response to the growing complexity and escalating international criticism of informal, US-centric mechanisms for the management of internet names and number, ICANN remains one of the primary internet governance organizations, and also one that seeks to rely on multistakeholder processes (Mueller, 2002).