Info in global economy
E_RK
info-ppt.pptx
Chapter1- intro to policy making in the digital Age
Chapter2-Educating Public managers and policy analysts in the era of informatics
Chapter3-The Quality of social simulation: An example from research policy modeling
Chapter Goals and Objectives
Overall – students will learn and understand why:
▪ the explosive growth in data, computational power, and social media create new opportunities for innovating governance and policy-making ▪ global information and communications technology (ICT) developments affect policy-making cycle and result in drastic changes in the policy development
▪ organizations need the digital developments, new approaches, concepts, instruments, and methods as they operate in the complex and uncertain societies
▪ e-government policy, e-policy, policy informatics, and data science are different
1. Intro to Policy-Making in the Digital Age
❖ Identification of complexity and uncertainty in policy-making
▪ policy-making is driven by the need to solve societal problems
❖ Developments
▪ developments that influence the traditional way of policy-making
❖ Availability of Big and Open Linked Data (BOLD)
▪ Learn and understand the needs for multiple perspectives to stimulate new practices
❖ Rise of hybrid simulation approaches
▪ allows decision-makers to understand the essence of a policy…
❖ Ubiquitous user engagement
▪ considerable complexities encountered in the design of public policy
❖ Combining disciplines in e-government policy-making
▪ practice driven, employs modeling techniques, needs knowledge from various fields, and maintains focus on governance and policy-making
2. Why educate public managers and policy analysts in the era of informatics
❖ Types of practitioner orientations to policy informatics
▪ two “ideal types” of policy informatics practitioner, require greater and greater levels of technical mastery of analytics techniques and approaches
❖ Policy informatics-savvy public managers
▪ need to know what kinds of questions that policy informatics projects or programs can answer or not answer
▪ need to know how to contract with and/or manage data managers, policy analysts, and modelers
❖ Second type of practitioners – policy informatics analysts
▪ need for policy analysts – move beyond basic surveys of research methods
❖ Applications to professional masters programs
▪ PA 301: Foundations of Public Administration
▪ PA 306: Policy Systems ▪ PA 308: Decision-Making Models ▪ PA 317: Systems Analysis and Strategic Management
3. The quality of social simulation: An example from research policy modeling
❖ Communicative skills, patience, willingness to compromise
▪ policy-making is driven by the need to solve societal problems
❖ Quality in social simulation
▪ develop models from a simulation as “an illusory appearance that manages a reality effect” (cf. Norris 1992)
❖ Assessing quality: the example – the SKIN approach
▪ policy modeling of SKIN – birth of the SKIN inspired by the idea of bringing theory on innovation networks stemming from innovation economics and economic sociology, onto the computer— a computer theory instantiated, calibrated, tested, and validated by empirical data
❖ INFO-SKIN – the constructivist view
▪ ability to use scenario-based modeling as a worksite for “reality constructions
❖ INFO-SKIN – the user community view
▪ stakeholders must learn about the scope and applicability of the methods; researchers get acquainted with the problems policy makers have to solve
