STAKEHOLDER ENGAGEMENT IN POLICY DEVELOPMENT

Attached is the chapter 9 and 10 need write assignment on the chapter 9 and 10

3 pages and more please (1000+words)

Each student will write a short research paper for a peer-reviewed research paper that pertains to the week’s assigned reading. This will be a detailed summary of the research paper and what you gained from the research. Each week, you will find an article/peer-reviewed research paper that pertains to the week’s assignment. If you have a difficult time, Google Scholar is a wonderful location to find these types of articles:

https://scholar.google.com/

Once you find the article, you will simply read it and then write a review of it. Think of it as an article review where you submit a short overview of the article.

*All outside sources must be referenced and cited in your paper. All papers will be reviewed with a plagiarism software. Any references not properly referenced and cited will result in a 0 on your paper. Multiple violations will result in a failure for the course!

ITS 832 CHAPTER 9 STAKEHOLDER ENGAGEMENT IN POLICY DEVELOPMENT: OBSERVATIONS AND

LESSONS FROM INTERNATIONAL EXPERIENCE

INFORMATION TECHNOLOGY IN A GLOBAL ECONOMY

DR. JORDON SHAW

INTRODUCTION

• Methodology • Useful engagement tools • Factors that support effective tool use

• Foundations of Stakeholder Engagement

• Cases

• Case comparison

• Discussion

• Conclusion

METHODOLOGY

• Policy making increasingly involves stakeholders • Not just decision makers

• Technology provides many benefits • Supports advanced complex modeling

• Allows more stakeholders to participate (engage)

• Stakeholder engagement • Improves acceptance

• Increases policy quality

• Reduces iterations for re-work

• Two primary questions regarding technology tool use • What types of engagement tools are useful?

• What factors support effective tool use?

STAGES OF THE POLICY PROCESS

FOUNDATIONS OF STAKEHOLDER ENGAGEMENT

• Stakeholder engagement enhances

• Accountability

• Efficiency in making decisions

• Good governance

• Stakeholder

• “Any group or individual who can affect or is affected by the achievement of an organization’s objectives.”

• First phase

• Stakeholder identification and analysis

• Stakeholder engagement

• Informing

• Consulting

• Involving

• Collaborating

• Empowering

CASES

• E-Government Strategic Planning in Afghanistan

• Renewable Energy Policy for Kosice, Slovakia

• Redesigning the European Union’s Inspection Capability for International Trade

• Understanding Child Health Outcomes in New Zealand

• Transportation and Urban Planning Indicator Development in the USA

CASE COMPARISON

• Points of comparison

• Situation and approach

• Types of stakeholders and participation

• Methods for stakeholder identification

• Methods for stakeholder engagement

• Tools and technologies used

• Results

SUMMARY

• Stakeholder engagement is worth the effort

• Success starts with care in stakeholder identification

• Engagement helps build consensus

• Tools include • Technology

• Legacy

• Experience helps to select the right tools for current stakeholders

ITS 832 CHAPTER 10 VALUES IN COMPUTATIONAL MODELS REVALUED

INFORMATION TECHNOLOGY IN A GLOBAL ECONOMY

DR. JORDON SHAW

INTRODUCTION

• Technology perceptions

• Technology and public decision making

• Methodology

• Case studies

• Analysis

• Summary and conclusions

TECHNOLOGY PERCEPTIONS

• Debate on underlying assumptions of models

• Are models biased? • Is technology biased?

• Are model builders biased?

• Are model users biased?

• Technological determinism • Technology is not neutral of value-free

• Social construction of technology • Technology is designed with bias, or values

• Technological instrumentalism • Technology is neutral and value-free

TECHNOLOGY AND PUBLIC DECISION MAKING

• Policy making involves complex systems

• Model bias must be understood to evaluate results

• Bias, or value can be categorized • Values of the data

• Values of the model

• Values of the decision-making process

METHODOLOGY

• Select six case studies

• Carry out secondary analysis of results

• Identify cases with three basic characteristics • New model designed for case

• Relate to policy issues with the natural or built world

• Highly complex and controversial issues

CASE STUDIES

• Morphological Predictions in the Westerschele (Belgium and the Netherlands)

• Morphological Predictions in the Unterlbe (Germany)

• Flood-Risk Prediction (Germany and the Netherlands)

• Determining the Implementation of Congestion Charging in London (UK)

• Predicting and Containing the Outbreak of Livestock Diseases (Germany)

• Predicting Particular Matter Concentrations (the Netherlands)

ANALYSIS

• Analyzing empirical data resulted in several findings

• Values in data • Cases 1-4 exhibited higher trustworthiness of data

• Margin of error high in all cases

• Values in the model • Similar to values in data findings

• Values in the decision-making process • Clear lines of authority in cases 1, 4, and 5

• Lack of clear authority (cases 2, 3, and 6) leads to conflict

SUMMARY AND CONCLUSIONS

• Model effectiveness is impacted by bias

• Values can originate from multiple sources

• Data

• Model design

• Model use

• Outcome validity requires a clear understanding of values put forth by model use