Session
Organizer 1: Ali Younes, United Nations Office on Drugs and Crime
Speaker 1: Betania Allo, Intergovernmental Organization, Intergovernmental Organization
Speaker 2: Ali Younes, Intergovernmental Organization, Intergovernmental Organization
Speaker 3: Bramlette Jennifer, Intergovernmental Organization, Intergovernmental Organization
Betania Allo, Intergovernmental Organization, Intergovernmental Organization
Ali Younes, Intergovernmental Organization, Intergovernmental Organization
Ali Younes, Intergovernmental Organization, Intergovernmental Organization
Roundtable
Duration (minutes): 90
Format description: The roundtable format encourages interactive dialogue among speakers and participants, fostering collaboration and knowledge exchange.
A. How can emerging technologies enhance the effectiveness of drug control, crime prevention, and criminal justice policies while promoting peace and sustainability?
B. What strategies can be implemented to ensure the responsible use of data analytics and AI in evidence-based policy-making?
C. How can policymakers effectively engage with diverse stakeholders and communities to develop inclusive and impactful policies?
What will participants gain from attending this session? Participants will gain insights into utilizing data analytics, AI, blockchain, and social media analytics for evidence-based policies. They'll understand the importance of collaboration between stakeholders and the inclusion of diverse perspectives in policy-making processes.
Description:
In the pursuit of enhancing the digital contribution to peace, development, and sustainability, evidence-based policy-making stands as a cornerstone for shaping effective and impactful decisions. Leveraging research and emerging technologies is indispensable in this endeavor, serving as essential tools for generating reliable evidence and informing policy-making processes. This workshop, organized by the UNODC-NAUSS Interregional Centre of Excellence, aims to explore the significance of research and emerging technology within this critical domain.
Key Points to be Discussed:
1. Enhancing Data Collection and Analysis
Explore how advanced data analytics techniques, such as machine learning and natural language processing, can improve the efficiency and accuracy of data-driven decision-making in drug control, crime prevention, and criminal justice, thereby contributing to peace, development, and sustainability.
2. Improving Policy Evaluation
Highlight the role of rigorous methodologies and emerging technologies like predictive modeling and simulation in evaluating policy effectiveness and minimizing risks associated with policy implementation within the context of peace, development, and sustainability.
3. Facilitating Evidence Synthesis
Discuss how systematic reviews, meta-analyses, and machine learning algorithms aid in synthesizing diverse sources of evidence, ensuring that policy decisions within drug control, crime prevention, and criminal justice contribute to peace, development, and sustainability by being grounded in a comprehensive understanding of available evidence.
4. Addressing Policy Challenges
Examine how emerging technologies like artificial intelligence (AI) and blockchain offer innovative solutions to complex policy challenges, enhancing transparency, accountability, and trust in policy implementation within the domains of drug control, crime prevention, and criminal justice, thereby fostering peace, development, and sustainability.
This session aims to produce actionable insights on leveraging technology for evidence-based policies, contributing to sustainable development goals. Expected outcomes include the identification of best practices, potential collaborations, and the development of follow-up processes for policy implementation.
Hybrid Format: - Interaction between onsite and online participants facilitated through Zoom platform
- Session designed to prioritize engagement and inclusivity for both onsite and online participants
- Complementary online platforms such as collaborative document editing tools for increased participation and interaction