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I was asked recently to prepare an independent background report on the subject of priority assessment in science and technology policy for the Australian Science and Technology Council. The Council (while not necessarily endorsing this book) suggested that a wider audience could be interested in the type of material contained in my report and kindly gave me permission to publish the material in my own right. The present book contains this and other material, some of which was presented at a seminar on National Science Policy: Implications for Government Departments arranged by the Department of Science and the Environment. Additional ideas were developed in response to comments on the manuscript by referees, as a result of discussions with Professor John Metcalfe and Dr Peter Stubbs of Manchester University, a conversation with Dr Keith Hartley of the University of York and in the wake of a communication from Dr Ken Tucker, Assistant Director, Bureau of Industry Economics, Australia. Science and technology policy affects and concerns everyone of us if for no other reason than we cannot escape in this interdependent world from the economic, social and environmental overs pills generated by science and technology. We must face the problems and promises inherent in new and existing science and technology whether we like it or not. Not surprisingly this book finds that all industrialized countries seem to be facing similar economic and social problems.
Does the public trust science? Scientists? Scientific organizations? What roles do trust and the lack of trust play in public debates about how science can be used to address such societal concerns as childhood vaccination, cancer screening, and a warming planet? What could happen if social trust in science or scientists faded? These types of questions led the Roundtable on Public Interfaces of the Life Sciences of the National Academies of Sciences, Engineering, and Medicine to convene a 2-day workshop on May 5-6, 2015 on public trust in science. This report explores empirical evidence on public opinion and attitudes toward life sciences as they relate to societal issues, whether and how contentious debate about select life science topics mediates trust, and the roles that scientists, business, media, community groups, and other stakeholders play in creating and maintaining public confidence in life sciences. Does the Public Trust Science? Trust and Confidence at the Interfaces of the Life Sciences and Society highlights research on the elements of trust and how to build, mend, or maintain trust; and examine best practices in the context of scientist engagement with lay audiences around social issues.
Margaret Thatcher was prime minister from 1979 to 1990, during which time her Conservative administration transformed the political landscape of Britain. Science Policy under Thatcher is the first book to examine systematically the interplay of science and government under her leadership. Thatcher was a working scientist before she became a professional politician, and she maintained a close watch on science matters as prime minister. Scientific knowledge and advice were important to many urgent issues of the 1980s, from late Cold War questions of defence to emerging environmental problems such as acid rain and climate change. Drawing on newly released primary sources, Jon Agar explores how Thatcher worked with and occasionally against the structures of scientific advice, as the scientific aspects of such issues were balanced or conflicted with other demands and values. To what extent, for example, was the freedom of the individual scientist to choose research projects balanced against the desire to secure more commercial applications? What was Thatcher’s stance towards European scientific collaboration and commitments? How did cuts in public expenditure affect the publicly funded research and teaching of universities? In weaving together numerous topics, including AIDS and bioethics, the nuclear industry and strategic defence, Agar adds to the picture we have of Thatcher and her radically Conservative agenda, and argues that the science policy devised under her leadership, not least in relation to industrial strategy, had a prolonged influence on the culture of British science.
Dispelling the myth of scientific purity and detachment, Daniel S. Greenberg documents in revealing detail the political processes that underpinned government funding of science from the 1940s to the 1970s.
Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.
Science for Policy Handbook provides advice on how to bring science to the attention of policymakers. This resource is dedicated to researchers and research organizations aiming to achieve policy impacts. The book includes lessons learned along the way, advice on new skills, practices for individual researchers, elements necessary for institutional change, and knowledge areas and processes in which to invest. It puts co-creation at the centre of Science for Policy 2.0, a more integrated model of knowledge-policy relationship. Covers the vital area of science for policymaking Includes contributions from leading practitioners from the Joint Research Centre/European Commission Provides key skills based on the science-policy interface needed for effective evidence-informed policymaking Presents processes of knowledge production relevant for a more holistic science-policy relationship, along with the types of knowledge that are useful in policymaking
A calculation of the social returns to innovation /Benjamin F. Jones and Lawrence H. Summers --Innovation and human capital policy /John Van Reenen --Immigration policy levers for US innovation and start-ups /Sari Pekkala Kerr and William R. Kerr --Scientific grant funding /Pierre Azoulay and Danielle Li --Tax policy for innovation /Bronwyn H. Hall --Taxation and innovation: what do we know? /Ufuk Akcigit and Stefanie Stantcheva --Government incentives for entrepreneurship /Josh Lerner.