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Hybrid Event

30th - 1st October 2026 | New York, USA

International Conference on Government and Public Policy Data Analytics (ICGPPDA - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

Why it matters

SDG 3 — Good Health and Well-being
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 13 — Climate Action
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Explore All Session Tracks
Track 01
Public Policy Analytics and Decision Support

This track focuses on the application of data analytics in shaping effective public policies. It explores decision support systems that leverage government data to enhance policy formulation and evaluation.

Track 02
Predictive Modeling in Economic Analytics

This session delves into the use of predictive modeling techniques to forecast economic trends and impacts. Participants will discuss methodologies and case studies that illustrate the effectiveness of these models in public policy.

Track 03
Machine Learning Applications in Governance

This track examines the integration of machine learning algorithms in governance analytics. It highlights innovative applications that improve decision-making processes within public administration.

Track 04
Big Data and Social Data Analysis for Public Services

This session addresses the role of big data and social data analysis in enhancing public service delivery. It emphasizes the importance of data-driven insights in understanding citizen needs and improving service outcomes.

Track 05
Risk Assessment and Management in Public Policy

This track focuses on methodologies for risk assessment and management within the context of public policy. Participants will explore frameworks that utilize data analytics to identify and mitigate risks associated with policy implementation.

Track 06
Data Visualization Techniques for Policy Impact

This session highlights the significance of data visualization in communicating policy impacts effectively. It showcases innovative visualization techniques that facilitate stakeholder engagement and informed decision-making.

Track 07
Data Mining for Governance and Civic Technology

This track explores the application of data mining techniques in governance and civic technology. It aims to uncover patterns and insights that can drive citizen engagement and enhance governmental transparency.

Track 08
Statistical Modeling in Economic Policy Analysis

This session focuses on the application of statistical modeling in analyzing economic policies. Participants will discuss various statistical techniques and their relevance in evaluating policy effectiveness.

Track 09
Trend Analysis and Scenario Planning in Public Policy

This track examines the methodologies for trend analysis and scenario planning in the context of public policy. It emphasizes the importance of foresight in crafting adaptive and resilient policy frameworks.

Track 10
Urban Analytics for Sustainable Development

This session addresses the role of urban analytics in promoting sustainable development within cities. It explores data-driven strategies that enhance urban planning and resource management.

Track 11
Platforms for Collaborative Governance and Data Sharing

This track focuses on the development and implementation of platforms that facilitate collaborative governance and data sharing among stakeholders. It highlights best practices and innovative solutions that enhance public sector collaboration.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.