|
ABSTRACT AREAS
1. Case Studies
Description/Request:
This session will feature speakers who will share actual applications of Decision Analysis in the form of case studies. The speakers will endeavor to summarize their work and highlight the insights gained, giving particular emphasis to any lessons learned that span multiple situations or industries. The presentations may also include discussion of the approaches used which enabled robust decision maker dialog leading to decision clarity.
2. Artificial Intelligence/Analytics
Description/Request:
We are currently seeking dynamic and knowledgeable speakers to share their insights, research, and experiences. If you are passionate about AI/Analytics and its impact on decision-making, we invite you to submit an abstract. Topics of interest include, but are not limited to:
- Leveraging AI in strategic decision-making
- Ethical considerations and biases in AI-enabled decision systems
- AI-powered decision support systems and their effectiveness
- Machine learning algorithms for decision quality improvement
- AI applications in critical decision domains (e.g., healthcare, finance, transportation)
- Explainability and interpretability of AI models for decision-making
- Human-AI collaboration for improved decision outcomes
- Challenges and opportunities in implementing AI for decision quality enhancement
3. Organizational Transformation/Evolution
Description/Request:
We are seeking speakers who can contribute valuable insights and share their experiences in implementing Decision Quality within organizations. If you have expertise in any of the following areas, we encourage you to submit a speaking proposal:
- Establishing Decision Quality frameworks and methodologies
- Overcoming resistance to change and building a decision-focused culture
- Identifying and mitigating biases in decision-making processes
- Overcoming organizational silos to facilitate collaborative decision-making
- Developing decision-support tools and technologies
- Measuring the impact and success of Decision Quality initiatives
- Case studies showcasing successful implementation of Decision Quality
4. Innovation
Description/Request:
By integrating decision quality principles into the innovation process, organizations can effectively navigate uncertainties, optimize resource allocation, and drive transformative change. We are particularly interested in the following topics:
- Decision Quality Frameworks for Innovation: Introducing effective decision quality frameworks and methodologies that can be applied to innovation processes.
- Risk Assessment and Mitigation in Innovation: Exploring strategies to identify, assess, and manage risks associated with innovative initiatives.
- Data-Driven Decision Making: Leveraging data analytics, predictive modeling, and artificial intelligence to enhance decision quality in the innovation landscape.
- Decision Quality in Entrepreneurship: Examining how decision quality principles can empower entrepreneurs to make strategic choices and drive innovation in start-up environments.
- Organizational Culture and Decision Quality: Exploring the role of organizational culture, leadership, and communication in promoting decision quality and fostering innovation.
- Real-Life Case Studies: Presenting real-world examples where decision quality has been successfully applied to drive innovation, sharing best practices and lessons learned.
- The value chain from invention to productive-knowledge creation to value-harvesting.
- Lessons learned and battle scars from trying to change business.
NOTE: SDP assigns strong preference to case studies by decision-makers and decision-analysis practitioners. Marketing pitches are discouraged, and be evaluated less-favorably than accounts of practical experience. Promotional information is welcome in a vendors' exhibit area within the conference facility.
| 
