Governometrics and Technological Innovation for Public Policy Design and Precision

Erscheinungsjahr 2014
ISBN: 978-1-4666-5146-3
Verlag: Information Science Reference

Buch, Englisch, 311 Seiten, Hardback, Format (B × H): 183 mm x 260 mm, Gewicht: 1050 g

In recent years, government officials have been able to formulate more accurate policies through statistical application. By utilising quantitative and statistical methods in policy making, governometrics ensures excellence in governmental performance and helps the future of policy making.

Governometrics and Technological Innovation for Public Policy Design and Precision demonstrates governometrics’ effective exploitation of policy intricacies in order to overcome the problems policy makers often struggle to resolve. Capturing a variety of international views on policy standpoints to show how this unconventional and scientific analysis of policy is coming to the forefront, this publication is an innovative reference ideal for policy makers, public officials, professionals, researchers and students, as well as multilateral organisations and institutional donors.

Autoren/Hrsg.

Sharma, Sangeeta

Nagar, Pankaj

Sodhi, Inderjeet Singh

Über Autor(innen)

Dr. Sangeeta Sharma is Professor of Public Administration at the University of Rajasthan, India. She is a prolific researcher who has extensively contributed to the field of digital governance. She has constructed many conceptual constructs which are internationally acknowledged. She is on the International Editorial Board of different Journals and is on International Program Committees. Her academic acumen is reflected in her published works in National and International reputed publications. She is a believer of original and thought provoking ideas which are of prognostic nature. She has also conducted quasi-experimental research measuring co-associational values amongst psychological variables. Her book Transformational Pathways: Attainable Utopias is a well acknowledged work.

Dr. Pankaj Nagar is Associate Professor in the Department of Statistics, University of Rajasthan, Jaipur (Rajasthan), India. He did his M.Sc. in Statistics in 1986, M.Phil. (Statistics) in 1987 and Ph.D. (Reeliability Analysis) in 1992. In addition to teaching he is guiding Ph.D. Scholars in the area of Applied Statistics, Data Mining and Computational Statistics. He has multiple papers published in national and international journals and proceedings. He is an author of six books in the area of Statistics and Computer Applications.

Inderjeet Singh Sodhi is based at the University of Dodoma, Tanzania.