With the launch of the new report “Counting on the World” from SDSN’s Thematic Research Network on Data and Statistics (SDSN TReNDS), TReNDS is hosting its first interactive half-day learning session as a side event to the annual International Conference on Sustainable Development (ICSD). This learning session will highlight the potential and urgency of data partnerships for sustainable development. The format of the event will be three sessions drawing from diverse case studies on innovations in data collection and sharing, knowledge management, and localizing the SDGs. After brief introductory remarks, participants will give short 15 minute presentations and/or demonstrations, followed by a half-hour interactive Q&A and discussion with panelists and attendees. These sessions will also highlight lessons from the first years of SDSN TReNDS’ Solutions Initiatives. In partnership with Group on Earth Observations (GEO).

Program:

Welcome: Co-Chair Enrico Giovannini

Learning Session 1: Data Reconciliation and Institutional Readiness

Opening comment and moderator: Co-Chair Shaida Badiee, Open Data Watch

Data gaps analysis for SDG 6 in Bangladesh: Alex Fischer, Oxford University
Institutional readiness and knowledge management for data sharing in Colombia: Fredy Rodriguez, CEPEI

Interactive Q&A

Learning Session 2: Deploying geospatial and observational data for the SDGs - Organized by GEO

Opening comment and moderator: Alex de Sherbinin, CIESIN

Bill Sonntag, GEO
Emmanuel Letouzé, Data-Pop Alliance

Interactive Q&A

Learning Session 3: Subnational strategies and partnerships for SDG Action

Opening comment and moderator: Jessica Espey, SDSN

San Jose SDG Data Dashboard, Derek Ouyang, Stanford University
Brazil METRODS (Metropolitan SDG Dashboard), Cid Blanco, Casa Fumience
Nilda Mesa, Urban Sustainability and Equity Planning Program, Earth Institute at Columbia University
Seema Iyer, University of Baltimore - Baltimore Neighborhood Indicator Alliance

Navigating the Data Revolution: TReNDS Annual Learning Session