The Sustainable Development Goals: Origins, Context, and Perspectives | Nenad Rava | Systems Thinking Ontario 2023-05-08
Bibliographic record
Abstract
The session was announced at https://wiki.st-on.org/2023-05-08 . Within the Systems Thinking Ontario community, we have an authority on the Sustainable Development Goals with Ned (Nenad Rava), Head of Programmes, Joint SDG Fund . The interest in the March 2023 ST-ON session peaked some interest into unpacking the history and trajectory of the SDGs. As an opportunity for novices and the immersed to participation in a conversation around the SDGs, we will center on three questions: (1) How did the SDGs come to be, and Why? (10min) Discussion: In what ways SDGs relate to sustainability? Do we even need (global) goals? What are the implications for businesses, academia, grass-roots? (10min) (2) What do SDGs have to do with systems change? (15min) Discussion: Reality check: a genuine approach to systems change or just “buzzwords”? How do the SDGs relate to other systems approaches to sustainability (from flourishing to systems dynamics)? (15min) (3) Where do we stand in early 2023? What happens next? (10min) Discussion: What does this mean for Canada? What is the impact of the post-COVID crises (including the triple crisis of food, energy, financing)? What can we do as individuals/ Canadians? Bio: Dr Nenad Rava has an eclectic background including comparative politics, public sector modernization and institutional reform, cross-sectoral public policy, strategic foresight, and business innovation. Besides a BSc in management and PhD in politics, he also holds a Master of Design degree in Strategic Foresight and Innovation at OCADU . Dr Rava has contributed to complex systems change through more than 120 senior-level engagements in over 45 countries. Amongst other, he has produced 35+ research reports, articles and other publications (including a chapter on " Systems Design Approach to Public Policy " in the Handbook on Systems Sciences) [open access via SharedIt , or via Medium ] and 80+ educational and training programs. Dr Rava supported the finalization of co-design and launch of the Joint SDG Fund at the UN HQ in 2018, led the first portfolio of 35 programs benefiting 147 million most vulnerable persons in 2020-2022, and currently incubates new SDG transformation priorities. The session will be moderated by David Ing.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".