PANEL: Challenges for multimedia/multimodal research in the next decade

The multimedia and multimodal community is witnessing an explosive transformation in the recent years with major societal impact. With the unprecedented deployment of multimedia devices and systems, multimedia research is critical to our abilities and prospects in advancing state-of-theart technologies and solving real-world challenges facing the society and the nation. To respond to these challenges and further advance the frontiers of the field of multimedia, this panel will discuss the challenges and visions that may guide future research in the next ten years

Spoken Language Interaction with Robots: Recommendations for Future Research

With robotics rapidly advancing, more effective human–robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be part of the solution, our ability to provide spoken language interaction capabilities is still very limited. In this article, based on the report of an interdisciplinary workshop convened by the National Science Foundation, we identify key scientific and engineering advances needed to enable effective spoken language interaction with robotics. We make 25 recommendations, involving eight general themes: putting human needs first, better modeling the social and interactive aspects of language, improving robustness, creating new methods for rapid adaptation, better integrating speech and language with other communication modalities, giving speech and language components access to rich representations of the robot’s current knowledge and state, making all components operate in real time, and improving research infrastructure and resources. Research and development that prioritizes these topics will, we believe, provide a solid foundation for the creation of speech-capable robots that are easy and effective for humans to work with

Spoken language interaction with robots: Recommendations for future research

With robotics rapidly advancing, more effective human–robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be part of the solution, our ability to provide spoken language interaction capabilities is still very limited. In this article, based on the report of an interdisciplinary workshop convened by the National Science Foundation, we identify key scientific and engineering advances needed to enable effective spoken language interaction with robotics. We make 25 recommendations, involving eight general themes: putting human needs first, better modeling the social and interactive aspects of language, improving robustness, creating new methods for rapid adaptation, better integrating speech and language with other communication modalities, giving speech and language components access to rich representations of the robot’s current knowledge and state, making all components operate in real time, and improving research infrastructure and resources. Research and development that prioritizes these topics will, we believe, provide a solid foundation for the creation of speech-capable robots that are easy and effective for humans to work with

Educating the effective digital forensics practitioner: academic, professional, graduate and student perspectives

Over the years, digital forensics has become an important and sought-after profession where the gateway of training and education has developed vastly over the past decade. Many UK higher education (HE) institutions now deliver courses that prepare students for careers in digital forensics and, in most recent advances, cyber security. Skills shortages and external influences attributed within the field of cyber security, and its relationship as a discipline with digital forensics, has shifted the dynamic of UK higher education provisions. The implications of this now sees the route to becoming a digital forensic practitioner, be it in law enforcement or business, transform from on-the-job training to university educated, trained analysts. This thesis examined courses within HE and discovered that the delivery of these courses often overlooked areas such as mobile forensics, live data forensics, Linux and Mac knowledge. This research also considered current standards available across HE to understand whether educational programmes are delivering what is documented as relevant curriculum. Cyber security was found to be the central focus of these standards within inclusion of digital forensics, adding further to the debate and lack of distinctive nature of digital forensics as its own discipline. Few standards demonstrated how the topics, knowledge, skills and competences drawn were identified as relevant and effective for producing digital forensic practitioners. Additionally, this thesis analyses and discusses results from 201 participants across five stakeholder groups: graduates, professionals, academics, students and the public. These areas were selected due to being underdeveloped in existing literature and the crucial role they play in the cycle of producing effective practitioners. Analysis on stakeholder views, experiences and thoughts surrounding education and training offer unique insight, theoretical underpinnings and original contributions not seen in existing literature. For example, challenges, costs and initial issues with introducing graduates to employment for the employers and/or supervising practitioners, the lack of awareness and contextualisation on behalf of students and graduates towards what knowledge and skills they have learned and acquired on a course and its practical application on-the-job which often lead to suggestions of a lack of fundamental knowledge and skills. This is evidenced throughout the thesis, but examples include graduates: for their reflections on education based on their new on-the-job experiences and practices; professionals: for their job experiences and requirements, academics: for their educational practices and challenges; students: their initial expectations and views; and, the public: for their general understanding. This research uniquely captures these perspectives, bolstering the development of digital forensics as an academic discipline, along with the importance these diverse views play in the overall approach to delivering skilled practitioners. While the main contribution to knowledge within this thesis is its narrative focusing on the education of effective digital forensic practitioners and its major stakeholders, this thesis also makes additional contributions both academically and professionally; including the discussion, analysis and reflection of: - improvements for education and digital forensics topics for research and curriculum development; - where course offerings can be improved for institutions offering digital forensic degree programmes; - the need for further collaboration between industry and academia to provide students and graduates with greater understanding of the real-life role of a digital forensic practitioner and the expectations in employment; - continuous and unique challenges within both academia and the industry which digital forensics possess and the need for improved facilities and tool development to curate and share problem and scenario-based learning studies

When Michigan Changed the World

http://deepblue.lib.umich.edu/bitstream/2027.42/168165/1/2020-Feb_When_UM_Changed_the_World.pd

Tilting at the Windmills: Policy Battles Won, Lost, or Long Since Forgotten

http://deepblue.lib.umich.edu/bitstream/2027.42/114394/1/2015 Tilting at Windmills.pd

Tilting at Windmills: Policy Battles Won, Lost or Long Since Forgotten, 2015

http://deepblue.lib.umich.edu/bitstream/2027.42/117519/1/2015 Tilting at Windmills.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/117519/2/2015 Tilting at Windmills_bhl-c8a06335.pdfDescription of 2015 Tilting at Windmills.pdf : OriginalDescription of 2015 Tilting at Windmills_bhl-c8a06335.pdf : Preservation versio

Development of linguistic linked open data resources for collaborative data-intensive research in the language sciences

Making diverse data in linguistics and the language sciences open, distributed, and accessible: perspectives from language/language acquistiion researchers and technical LOD (linked open data) researchers. This volume examines the challenges inherent in making diverse data in linguistics and the language sciences open, distributed, integrated, and accessible, thus fostering wide data sharing and collaboration. It is unique in integrating the perspectives of language researchers and technical LOD (linked open data) researchers. Reporting on both active research needs in the field of language acquisition and technical advances in the development of data interoperability, the book demonstrates the advantages of an international infrastructure for scholarship in the field of language sciences. With contributions by researchers who produce complex data content and scholars involved in both the technology and the conceptual foundations of LLOD (linguistics linked open data), the book focuses on the area of language acquisition because it involves complex and diverse data sets, cross-linguistic analyses, and urgent collaborative research. The contributors discuss a variety of research methods, resources, and infrastructures. Contributors Isabelle Barrière, Nan Bernstein Ratner, Steven Bird, Maria Blume, Ted Caldwell, Christian Chiarcos, Cristina Dye, Suzanne Flynn, Claire Foley, Nancy Ide, Carissa Kang, D. Terence Langendoen, Barbara Lust, Brian MacWhinney, Jonathan Masci, Steven Moran, Antonio Pareja-Lora, Jim Reidy, Oya Y. Rieger, Gary F. Simons, Thorsten Trippel, Kara Warburton, Sue Ellen Wright, Claus Zin