The globalization of science, engineering, and medical research is proceeding rapidly. The globalization of research has important implications for the U.S. research enterprise, for the U.S. government agencies, academic institutions, and companies that support and perform research, and for the world at large. As science and technology capabilities grow around the world, U.S.-based organizations are finding that international collaborations and partnerships provide unique opportunities to enhance research and training. At the same time, significant obstacles exist to smooth collaboration across national borders. Enhancing international collaboration requires recognition of differences in culture, legitimate national security needs, and critical needs in education and training. In response to these trends, the Government-University-Industry Research Roundtable (GUIRR) launched a Working Group on International Research Collaborations (I-Group) in 2008, following its meeting on New Partnerships on a Global Platform that June. As part of I-Group's continuing effort, a workshop on Examining Core Elements of International Research Collaboration was held July 26-27, 2010 in Washington, DC. One primary goal of the workshop is to better understand the risks involved in international research collaboration for organizations and individual participants, and the mechanisms that can be used to manage those risks. Issues to be addressed in the workshop include the following: (1) Cultural Differences and Nuances; (2) Legal Issues and Agreements; (3) Differences in Ethical Standards; (4) Research Integrity and the Responsible Conduct of Research; (5) Intellectual Property; (6) Risk Management; (7) Export Controls; and (8) Strategies for Developing Meaningful International Collaborations. The goal for the workshop and the summary, Examining Core Elements of International Research Collaboration, is to serve as an information resource for participants and others interested in international research collaborations. It will also aid I-Group in setting its future goals and priorities.
Summary of a Workshop Institute of Medicine, National Academy of Engineering,
National Academy of Sciences, Policy and Global Affairs, Government-University-
Industry Research Roundtable, Planning Committee for the Workshop on
Examining Core Elements of International Collaboration Tom Arrison, Susan
Sauer Sloan ...
The Real Life Guide to Accounting Research is a book that goes behind the more official presentations and accounts of research methods to explore the lived experiences, joys and mistakes of a wide range of international researchers principally working in the fields of accounting and finance, but also in management, economics and other social sciences. The authors of the articles in this book address a wide range of issues and obstacles that they have confronted at various stages in their respective research careers. In reflecting on their personal experiences, they provide practical guidance on how to overcome the types of problems that typically confront researchers in their day-to-day work. Practical tips on how to undertake research and get findings published Research project management skills International and interdisciplinary perspectives
Accounting Historians Journal, 5, 1, 19 Accounting History, 5, 7, 85 Accounting,
Management and Information Technology/ Information and Organization, 221-
222, 222fn Accounting, Organizations and Society, 5, 7, 18, 25, 26fn, 33, 66fn, 83,
85, ... 5, 85, 433-447 European Business Review, 85 Financial Times, 457
Hansard, 105 Historical Workshop Journal, 105 IMPS-2000 Proceedings, 85
Indonesian Management and Accounting Research, 41 1 International Journal of
Accounting.
What do public administrators and policy analysts have in common? Their work is undertaken within networks formed when different organizations align to accomplish some kind of policy function. To be effective, they must find ways to navigate complexity and generate effective results. Governance Networks in Public Administration and Public Policy describes a variety of trends and movements that have contributed to the complexity of these systems and the challenges that must be faced as a result. Providing a theoretical and empirical foundation in governance networks, the book offers a conceptual framework for describing governance networks and provides a holistic way to conceive their construction. The text details the skills and functions of public administrators in the context of networked relationships and presents the theoretical foundations to analyze governance networks. It identifies the reforms and trends in governing that led to governance networks, explains the roles that various actors take on through networked relationships, highlights the challenges involved in the failure of networked activities, and illustrates how policy tools are mobilized by these relationships. Be a part of building governance networks 2.0! The author’s website contains support materials such as PowerPoint® presentations, writable case study templates, and other useful items related to building the field’s capacity to describe, evaluate, and design governance networks using the framework of this book. You can post case studies of governance networks, draw on other’s case study materials, and learn about research and educational opportunities. Based on research and real-life experience, the book highlights the interplay between public actors and policy tools. The authors demystify this complex topic of governance networks and explore the practical applications of the conceptual framework. Practical and accessible, the book presents concepts in such a way that readers can engage in these ideas, apply them, and deepen their understanding of the dynamics unfolding around them.
He possesses a Ph.D. and an MPA from Syracuse University's Maxwell School of
Citizenship and Public Affairs. His research interests include organizational
learning and development, governance networks and complex adaptive systems,
action research methods, civic education, and educational policy. He has
published articles in Public Administration Review, International Journal of Public
Administration, Administration & Society, Administrative Theory & Praxis,
American Journal ...
Engaging and motivating students--especially the least motivated learners--is a daily challenge. But with the process of problem-based learning (PBL), any teacher can create an exciting, active classroom where students themselves eagerly build problem-solving skills while learning the content necessary to apply them. With problem-based learning, students' work begins with an ill-defined problem. Key to this problem is how it explicitly links something important in students daily lives to the classroom. This motivational feature is vital as students define the what, where, and how of resolving the problem situation. Problem-based learning may sound potentially chaotic and haphazard, but it rests on the firm foundation of a teacher's work behind the scenes. The teacher develops a problem long before students see it, specifically choosing the skills and content the problem will emphasize and matching those to curriculum and standards. Though a PBL problem will have no "right" answer, the teacher structures the experience so that specific learning takes place as students generate the problem-solving steps, research issues, and produce a final product. The teacher guides without leading, assists without directing.
The teacher guides without leading, assists without directing.
Introductions To help people to feel at home and to introduce the workshop
Round room / small group contributions from participants 10 min What was your
experience of the last elections? To identify people's experiences and feelings
about the last election and their reasons for voting Small group discussions of 30
min participants' experiences Word association exercise Brainstorming exercise
30 min Pair work Snowballing pair work reports Plenary question and answer 10
min ...
Statistika inferensial mencakup semua metode yang berhubungan dengan analisis data untuk peramalan atau penarikan kesimpulan mengenai keseluruhan gugus data induknya. Statistika inferensial merupakan pengetahuan statistika yang berhubungan dengan penarikan kesimpulan yang bersifat umum dari data yang telah di susun dan di olah. Secara ringkas statistika inferensial adalah statistika yang di gumakan untuk mengeneralisasikan data sampel terhadap populasi. Setiap bab pada buku ini di lengkapi studi/kasus.
statistika yang membahas caraǦcara penggunaan statistik, antara lain untuk
keperluan penelitian. Statistika dikategorikan ... Statistika inferensial
dikategorikan menjadi dua, yaitu statistika parametrik dan statistika
nonparametrik. Statistika ...
