Evaluating the Outcomes of Social Media Marketing Alongside Traditional Promotional Techniques in Library Outreach

James Madison University MALA (Madison Academic Library Associates) graduate assistants worked together with Special Collections and the library’s Outreach department to help market and support JMU’s First Annual Pulp Studies Symposium in Fall 2016. Social, digital, and physical ultimately came together to highlight and surface Special Collections’ extensive holdings of pulp magazines. Hashtags, archival ephemera, and everything in between melded in this multi-part exhibit. Since one of the least known and studied genre of pulps are the romance pulps, Love Story Magazine was the focus of our social media outreach project. Its florid narratives led organically to the idea of dramatic performance. Members of the JMU community worked with Special Collections and MALA students to create a rich collection of dramatic readings from the magazine. These videos served as the first content on Special Collections’ new Instagram account. They helped to both market the conference on multiple social media platforms in an eye-catching and original way, and to surface the content of the magazine to those unfamiliar with it. In this poster, we present our process of creation and marketing, and quantitative results in the form of social media statistics to examine the project’s successes

Natural Resources and Environmental Law Newsletter, Summer 2019

NREL Program Earns A+ Rating from PreLaw Magazine Former Minister Christopher Finlayson Discusses New Zealand’s Settlements with Māori The Utton Center Tackles UNM’s Sustainable Water Resources Grand Challenge Clinic Deepens Work with Land Grants and Acequias Recent NREL Certificate Graduates Making a Splash in New Mexico’s NREL Community Villa, Fort Speak About Importance of Environmental Public Health Pacyniak Publishes Paper on New Mexico Renewable Portfolio Standard Policy Design UNM Law Students Take On the Environmental Law Moot Court Competition Benson, Villa Present at NM Water Law Conference Recent Events: April 2 - CLE on Clean Water Rule; April 6 - “Hot Topics” NRJ Symposium Upcoming Event: April 18 - National Lawyers and Climate Change Conferenc

ICPR2017 – The Fourth International Conference on Practice Research: overview

This paper reports issues arising from the Fourth International Conference on Practice Research, held in Hong Kong in May 2017. The issues were identified by specially convened group of conference participants, and include the need to develop a better language to describe practice research in terms that make sense to practitioners, improved support for practitioners to conduct research, recognising the different drivers for practice research in different countries, and enhancing practitioners' coordinating and leadership roles

Deep learning in remote sensing: a review

Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields. Shall we embrace deep learning as the key to all? Or, should we resist a 'black-box' solution? There are controversial opinions in the remote sensing community. In this article, we analyze the challenges of using deep learning for remote sensing data analysis, review the recent advances, and provide resources to make deep learning in remote sensing ridiculously simple to start with. More importantly, we advocate remote sensing scientists to bring their expertise into deep learning, and use it as an implicit general model to tackle unprecedented large-scale influential challenges, such as climate change and urbanization.Comment: Accepted for publication IEEE Geoscience and Remote Sensing Magazin

Perceptions of climate change: the role of art and the media

This repository item contains a single issue of Issues in Brief, a series of policy briefs that began publishing in 2008 by the Boston University Frederick S. Pardee Center for the Study of the Longer-Range Future.The public perception of climate change is strongly influenced by what people read and see in the popular press and, increasingly, in the work of artists. Based largely on discussions that occurred at an October 2010 symposium held at Boston University titled Transatlantic Perceptions of Climate Change: The Role of the Arts and Media, supported by the Goethe-Institut Boston and the Institute for Advanced Study in the Humanities Essen (KWI). Reflecting on the conversations at that symposium, this paper explores the role that the media and the arts play in shaping whether and how people view climate change as an issue of concern for society

A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community

In recent years, deep learning (DL), a re-branding of neural networks (NNs), has risen to the top in numerous areas, namely computer vision (CV), speech recognition, natural language processing, etc. Whereas remote sensing (RS) possesses a number of unique challenges, primarily related to sensors and applications, inevitably RS draws from many of the same theories as CV; e.g., statistics, fusion, and machine learning, to name a few. This means that the RS community should be aware of, if not at the leading edge of, of advancements like DL. Herein, we provide the most comprehensive survey of state-of-the-art RS DL research. We also review recent new developments in the DL field that can be used in DL for RS. Namely, we focus on theories, tools and challenges for the RS community. Specifically, we focus on unsolved challenges and opportunities as it relates to (i) inadequate data sets, (ii) human-understandable solutions for modelling physical phenomena, (iii) Big Data, (iv) non-traditional heterogeneous data sources, (v) DL architectures and learning algorithms for spectral, spatial and temporal data, (vi) transfer learning, (vii) an improved theoretical understanding of DL systems, (viii) high barriers to entry, and (ix) training and optimizing the DL.Comment: 64 pages, 411 references. To appear in Journal of Applied Remote Sensin