Format

T07P01. Exploring Technologies for Policy Advice

Policy Design
PANEL CHAIR(S)
M. RAMESH
Main chair
A. TAEIHAGH
Second chair
CATEGORISATION
POLICY TOPIC
Policy Design
SECTOR
KEYWORDS
GENERAL OBJECTIVES, RESEARCH QUESTIONS AND SCIENTIFIC RELEVANCE

Knowledge and expertise are key components of policy-making and policy design, and many institutions and processes exist  – universities, professional policy analysts, think tanks, policy labs, etc. –  to generate and mobilize knowledge for effective policies and policy-making. Despite many years of research, however. many critical ssues remain unexplored, including the nature of knowledge and non-knowledge, how policy advice is organized into advisory systems or regimes, and when and how specific types of knowledge or evidence are transmitted and influence policy development and implementation. These long-stnading  issues have been joined recently by use of Artificial Intelligence and Big data, and other kinds of technological developments – such as crowdsourcing through open collaboration platforms, virtual labour markets, and tournaments – which hold out the promise of automating, enhancing. or expanding policy advisory activities in government. This panel seeks to explore all aspects of the application of current and future technologies to policy advice, including case studies of its deployment as well as theoretical and conceptual studies dealing with moral, epistemological and other issues surrounding its use.

CALL FOR PAPERS

You are invited to submit proposals for papers on different aspects of emerging technoglies for assisting in generation and dissemination of policy advice. The  panel will explore all aspects of the application of current and future technologies to policy advice, including case studies of its deployment as well as theoretical and conceptual studies dealing with moral, epistemological, political, technical and other issues surrounding its use. Knowledge and expertise are key components of policy-making and policy design, and many institutions and processes exist  – universities, professional policy analysts, think tanks, policy labs, etc. –  to generate and mobilize knowledge for effective policies and policy-making. Despite many years of research, however, many critical issues remain unexplored, including the nature of knowledge and non-knowledge, how policy advice is organized into advisory systems or regimes, and when and how specific types of knowledge or evidence are transmitted to influence policy development and implementation. These long-standing  issues have been joined recently by the use of Artificial Intelligence and Big data and other kinds of technological developments – such as crowdsourcing through open collaboration platforms, virtual labour markets, and tournaments – which hold out the promise of automating, enhancing. or expanding policy advisory activities in government. Papers on both longer-term and more recent issues surrounding policy advice, and related topics, are welcome.