Model Openness Framework: The Path to Openness, Transparency and Collaboration in Machine Learning Models
Explore the Model Openness Framework for machine learning, promoting transparency and collaboration. Learn about its classification system, implementation tools, and benefits for AI ecosystem development.
Model Openness Framework: The Path to Openness, Transparency and Collaboration in Machine Learning Models
Explore the Model Openness Framework, a system for rating machine learning models based on openness and completeness, promoting transparency and collaboration in AI development.
Standardising and Opening Up Beneficial Ownership Data
Explore standardization and transparency in beneficial ownership data, focusing on key concepts, challenges, and best practices for open data initiatives.
One Dataset and Three Use Cases with Microsoft Fabric
Leverage World Bank Open Data with Microsoft Fabric using various methods, model data, and create stunning reports in this demo-filled session on end-to-end solutions.
The Origins of eGov Open Data - eGov Applications
Explore the complexities of eGovernment services and open data implementation, focusing on practical applications and challenges in streamlining government processes for public use.
How to Get Open Data into the Hands of Activists
Exploring the connection between activism and Open Data, proposing Open Analytics to transform data into actionable knowledge for social activists.
Empowering the Map Ecosystem with Open Data
Discover how Overture Maps Foundation is revolutionizing digital mapping through collaborative open data initiatives, focusing on automotive applications and cross-industry implementation.
Digitalization and Space Tech - Data Driven Startups and Open Data
Explore the intersection of space technology and digitalization through insights from ESA Business Incubation Centre's director, covering data-driven startups, open data, and entrepreneurship challenges.
Turbocharge Your Machine Learning with Open Data
Explore the UK's open data landscape, its benefits, challenges, and applications to enhance machine learning projects and drive data-driven decision-making.
Doing for Sustainability What Open Source Did for Software - Impact Framework
Explore Impact Framework, an open-source tool quantifying software's environmental impact. Learn its history, core concepts, and practical application through a live demonstration.
What is Open Work? - Understanding the Expanded Definition of Open Collaboration
Explore the concept of Open Work, encompassing various open initiatives like Open Source, Data, Hardware, Science, Research, and Government.
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing and Attribution in AI
Explore a comprehensive audit of 1800+ text datasets, examining legal and ethical risks in AI data practices. Gain insights into dataset lineage, licensing, and the divide between open and closed datasets.
Open Data versus Open Banking
Explore the distinctions between open data and open banking, examining their implications for financial services and data accessibility.
Reimagining Open Data Portals - Towards a Collaborative Research Agenda
Explore innovative approaches to open data portals and contribute to shaping a collaborative research agenda for reimagining their future.
Using Open Data to Tackle the Cost of Living Crisis
Explore strategies for leveraging open data to address the cost of living crisis and drive positive economic change.
Empowering Digital Commons: Transparency in Supply Chains and Open Mapping
Explore digital commons' impact on supply chains and resilient communities with Kate Chapman, CTO of Open Supply Hub and President of Humanitarian OpenStreetMap Team.
Climate Panel: Can Tech Save the World? - Lightning Talks on Climate Data and Action
Explore innovative approaches to leveraging climate data for effective action. Learn about improving data access, treating environmental data as a public good, civic monitoring challenges, and accelerating building decarbonization through actionable insi…
Disrupting the Software Composition Analysis Market with Open Source Software and Open Data
Explore how SCANOSS challenges the Software Composition Analysis market through open-source strategies, market trends, and innovative approaches to SBOM adoption and emerging technologies.