remindmodel/remind
Nov 2024 – Mar 2026
15 Months active
Languages Used
CSVGAMSRcfgMarkdowncsvgmsN/A
Technical Skills
Climate ModelingConfiguration ManagementData ConfigurationData InputData ManagementScenario Management
Lavinia Baumstark
PROFILE
Lavinia Baumstark
Over 15 months, Lavinia Baumstark led core development for the remindmodel/remind repository, delivering 36 features and resolving critical bugs to advance climate and scenario modeling. She engineered robust calibration workflows and scenario management systems, integrating GAMS and R programming to automate data processing and ensure reproducibility across Shared Socioeconomic Pathway (SSP) scenarios. Her work included refining configuration management, enhancing release pipelines, and aligning model inputs with evolving policy requirements. By standardizing data assets, improving documentation, and enforcing disciplined version control, Lavinia enabled more accurate forecasting, streamlined onboarding, and reliable model releases, demonstrating deep expertise in backend development and scientific software engineering.
Overall Statistics
Feature vs Bugs
84%Features
Repository Contributions
121Total
Bugs
7
Commits
121
Features
36
Lines of code
269,732
Activity Months15
Your Network
70 peopleWork History
March 2026
5 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for remindmodel/remind: focus on delivering multi-scenario data calibration enhancements, stabilizing configuration after merge, and releasing a major model update. Key outcomes include calibrated input data revisions across multiple SSP scenarios, the introduction of a new default scenario, and a formal REMIND 3.6.0 release. These efforts improved calibration accuracy, reproducibility, and overall model reliability for planning and policy analysis.
5 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for remindmodel/remind: focus on delivering multi-scenario data calibration enhancements, stabilizing configuration after merge, and releasing a major model update. Key outcomes include calibrated input data revisions across multiple SSP scenarios, the introduction of a new default scenario, and a formal REMIND 3.6.0 release. These efforts improved calibration accuracy, reproducibility, and overall model reliability for planning and policy analysis.
March 2026
February 2026
6 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for remindmodel/remind focused on strengthening calibration fidelity, expanding future scenario readiness, and tightening sustainability constraints. Delivered updates improve projection accuracy, enable richer decision support, and enhance reproducibility for policy and investment planning.
February 2026
6 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for remindmodel/remind focused on strengthening calibration fidelity, expanding future scenario readiness, and tightening sustainability constraints. Delivered updates improve projection accuracy, enable richer decision support, and enhance reproducibility for policy and investment planning.
January 2026
7 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for remind model (repo: remindmodel/remind). Focused on delivering NGFS-aligned configurations, NP i2025-calibrated scenarios, and targeted bug fixes to improve reproducibility, onboarding, and business value. Highlights include calibrated SSP scenarios with updated CES parameters and GDX files, NGFS-compliant scenario_config.csv with clearer documentation, the introduction of a default SSP2_NPi scenario, and a cleanup of configuration to remove obsolete entries. A transport scenario logic fix was implemented to restore intended functionality and descriptions updated accordingly. Overall impact: better calibration reproducibility, reduced configuration drift, faster onboarding, and clearer documentation. Technologies/skills demonstrated include versioned parameter/data updates, data management (CES/GDX), NGFS alignment, bug fixes, and improved code/documentation quality.
7 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for remind model (repo: remindmodel/remind). Focused on delivering NGFS-aligned configurations, NP i2025-calibrated scenarios, and targeted bug fixes to improve reproducibility, onboarding, and business value. Highlights include calibrated SSP scenarios with updated CES parameters and GDX files, NGFS-compliant scenario_config.csv with clearer documentation, the introduction of a default SSP2_NPi scenario, and a cleanup of configuration to remove obsolete entries. A transport scenario logic fix was implemented to restore intended functionality and descriptions updated accordingly. Overall impact: better calibration reproducibility, reduced configuration drift, faster onboarding, and clearer documentation. Technologies/skills demonstrated include versioned parameter/data updates, data management (CES/GDX), NGFS alignment, bug fixes, and improved code/documentation quality.
January 2026
November 2025
1 Commits • 1 Features
Nov 1, 2025Month 2025-11: Model Calibration Enhancement for SSP Scenarios implemented to improve calibration fidelity and scenario planning for REMIND. Updated input data to version 7.75 and adjusted CES parameters and GDX files across SSP2, SSP2-EU21, SSP1, SSP1-EU21, SSP3, SSP2IndiaHigh, and SSP5; calibration runs executed and outputs archived at /p/projects/remind/calibration/REMIND_calibration_2025_11_26/remind/output.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month 2025-11: Model Calibration Enhancement for SSP Scenarios implemented to improve calibration fidelity and scenario planning for REMIND. Updated input data to version 7.75 and adjusted CES parameters and GDX files across SSP2, SSP2-EU21, SSP1, SSP1-EU21, SSP3, SSP2IndiaHigh, and SSP5; calibration runs executed and outputs archived at /p/projects/remind/calibration/REMIND_calibration_2025_11_26/remind/output.
September 2025
10 Commits • 2 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on delivering features, fixing issues, and enabling business value, with emphasis on calibration governance and release engineering. This month, the REMIND project delivered cross-SSP calibration data alignment and parameter updates, and completed REMIND v3.5.2 release preparation, including documentation and release workflow improvements.
10 Commits • 2 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on delivering features, fixing issues, and enabling business value, with emphasis on calibration governance and release engineering. This month, the REMIND project delivered cross-SSP calibration data alignment and parameter updates, and completed REMIND v3.5.2 release preparation, including documentation and release workflow improvements.
September 2025
August 2025
4 Commits • 2 Features
Aug 1, 2025Month: 2025-08 – Summary for remindmodel/remind Key features delivered: - Code comments standardization across core/loop.gms, core/declarations.gms, and datainput.gms to improve readability and consistency. Commits: c5b7a064a4f44c9000703b65d796222ff1cc8262; 468ff13bd20514cbd253c37070672ccb7f2cf62f; 5d1136d3474d687afbf6d8f2c2eae48ce9bf44d0. - Update input data revision to 7.62 with new SSP datasets, CES parameters, and GDX files to enable accurate calibration runs. Commit: 76d6c0f7dd03ea7f5a29fdb18933d9220f770004. Major bugs fixed: - None reported. Focused on maintenance and feature work. Overall impact and accomplishments: - Improved codebase readability, maintainability, and calibration data readiness, enabling faster iteration and more reliable results. Technologies/skills demonstrated: - GAMS file hygiene, data revision management, GDX handling, calibration data workflow, and disciplined version control.
August 2025
4 Commits • 2 Features
Aug 1, 2025Month: 2025-08 – Summary for remindmodel/remind Key features delivered: - Code comments standardization across core/loop.gms, core/declarations.gms, and datainput.gms to improve readability and consistency. Commits: c5b7a064a4f44c9000703b65d796222ff1cc8262; 468ff13bd20514cbd253c37070672ccb7f2cf62f; 5d1136d3474d687afbf6d8f2c2eae48ce9bf44d0. - Update input data revision to 7.62 with new SSP datasets, CES parameters, and GDX files to enable accurate calibration runs. Commit: 76d6c0f7dd03ea7f5a29fdb18933d9220f770004. Major bugs fixed: - None reported. Focused on maintenance and feature work. Overall impact and accomplishments: - Improved codebase readability, maintainability, and calibration data readiness, enabling faster iteration and more reliable results. Technologies/skills demonstrated: - GAMS file hygiene, data revision management, GDX handling, calibration data workflow, and disciplined version control.
July 2025
8 Commits • 3 Features
Jul 1, 20252025-07 monthly summary for remindmodel/remind focusing on business value and technical achievements. The month delivered clear progress in reproducibility, release readiness, and code quality, with direct impact on model reliability and stakeholder confidence.
8 Commits • 3 Features
Jul 1, 20252025-07 monthly summary for remindmodel/remind focusing on business value and technical achievements. The month delivered clear progress in reproducibility, release readiness, and code quality, with direct impact on model reliability and stakeholder confidence.
July 2025
June 2025
9 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for remind model repository remindmodel/remind: Focused on delivering SSP-based simulation data updates, expanding calibration coverage, and tightening configuration robustness. Key accomplishments include updating SSP data revisions 7.46-7.53 with CES/GDX files; adding SSP1-NPi calibration and SSP1-EU21 scenario data; correcting scenario naming in config to prevent misconfigurations; and turning off SSP2IndiaHigh as default to align with recommended calibration practices. These changes enable more accurate SSP calibrations, broaden scenario analysis, and improve reproducibility of results across calibration runs.
June 2025
9 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for remind model repository remindmodel/remind: Focused on delivering SSP-based simulation data updates, expanding calibration coverage, and tightening configuration robustness. Key accomplishments include updating SSP data revisions 7.46-7.53 with CES/GDX files; adding SSP1-NPi calibration and SSP1-EU21 scenario data; correcting scenario naming in config to prevent misconfigurations; and turning off SSP2IndiaHigh as default to align with recommended calibration practices. These changes enable more accurate SSP calibrations, broaden scenario analysis, and improve reproducibility of results across calibration runs.
May 2025
6 Commits • 1 Features
May 1, 2025Concise monthly summary for May 2025 focused on delivering updated SSP input data, data integrity fixes, and calibration support for the remind model. Highlights include stabilization of data revisions, file references, and cleanup of transport inputs, coupled with end-to-end calibration data delivery for multiple SSP scenarios.
6 Commits • 1 Features
May 1, 2025Concise monthly summary for May 2025 focused on delivering updated SSP input data, data integrity fixes, and calibration support for the remind model. Highlights include stabilization of data revisions, file references, and cleanup of transport inputs, coupled with end-to-end calibration data delivery for multiple SSP scenarios.
May 2025
April 2025
6 Commits • 2 Features
Apr 1, 2025April 2025 (2025-04) focused on strengthening release readiness, reproducibility, and maintainability for the remindmodel/remind repository. Key features were delivered with an emphasis on stabilizing the release process and ensuring scalable CI for future iterations. The work aligned with business goals of safer deployments, faster time-to-value, and clearer governance of code reviews.
April 2025
6 Commits • 2 Features
Apr 1, 2025April 2025 (2025-04) focused on strengthening release readiness, reproducibility, and maintainability for the remindmodel/remind repository. Key features were delivered with an emphasis on stabilizing the release process and ensuring scalable CI for future iterations. The work aligned with business goals of safer deployments, faster time-to-value, and clearer governance of code reviews.
March 2025
8 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03): Delivered SSP2IndiaHigh enhancements and calibration data enabling more granular India-focused climate-policy analysis. Implemented scenario_config updates, data revisions, CES/GDX asset updates, and ensured calibration readiness across SSP scenarios. Resolved a configuration bug to maintain accurate policy representations. This work improves decision-support capabilities and data integrity for policy analysis.
8 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03): Delivered SSP2IndiaHigh enhancements and calibration data enabling more granular India-focused climate-policy analysis. Implemented scenario_config updates, data revisions, CES/GDX asset updates, and ensured calibration readiness across SSP scenarios. Resolved a configuration bug to maintain accurate policy representations. This work improves decision-support capabilities and data integrity for policy analysis.
March 2025
February 2025
22 Commits • 7 Features
Feb 1, 2025February 2025 monthly summary for remind model development (remindmodel/remind). Focus on delivered features, fixed bugs, business value, and technology skills demonstrated.
February 2025
22 Commits • 7 Features
Feb 1, 2025February 2025 monthly summary for remind model development (remindmodel/remind). Focus on delivered features, fixed bugs, business value, and technology skills demonstrated.
January 2025
10 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for remind model (repo: remindmodel/remind). Focused on consolidating GDP/Population scenario management, refreshing input data assets, and improving traceability and maintainability. Key changes include consolidating scenario sets under all_GDPpopScen, adding India GDP scenarios, and integrating SDP into the consolidated set; updating input data revisions and CES/GDX assets for SSP calibrations; aligning configuration and changelog linkage; and stabilizing core model files to reduce build issues.
10 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for remind model (repo: remindmodel/remind). Focused on consolidating GDP/Population scenario management, refreshing input data assets, and improving traceability and maintainability. Key changes include consolidating scenario sets under all_GDPpopScen, adding India GDP scenarios, and integrating SDP into the consolidated set; updating input data revisions and CES/GDX assets for SSP calibrations; aligning configuration and changelog linkage; and stabilizing core model files to reduce build issues.
January 2025
December 2024
11 Commits • 4 Features
Dec 1, 2024December 2024 (2024-12) focused on delivering updated data-driven calibration, extended horizon planning capabilities, and process improvements for the REMIND model repo remindmodel/remind. The team completed end-to-end calibration data revisions and model parameter updates across SSP scenarios, cleaned up configuration to support long-horizon planning, added a rollback mechanism for tax convergence, and advanced release tooling and versioning for the 3.4.0 adoption. These efforts collectively improve forecasting accuracy, long-term planning coverage, risk mitigation in tax convergence calculations, and release reliability for stakeholders.
December 2024
11 Commits • 4 Features
Dec 1, 2024December 2024 (2024-12) focused on delivering updated data-driven calibration, extended horizon planning capabilities, and process improvements for the REMIND model repo remindmodel/remind. The team completed end-to-end calibration data revisions and model parameter updates across SSP scenarios, cleaned up configuration to support long-horizon planning, added a rollback mechanism for tax convergence, and advanced release tooling and versioning for the 3.4.0 adoption. These efforts collectively improve forecasting accuracy, long-term planning coverage, risk mitigation in tax convergence calculations, and release reliability for stakeholders.
November 2024
8 Commits • 1 Features
Nov 1, 2024In November 2024, the remindmodel/remind work focused on delivering higher-fidelity scenario configurations, advancing calibration capabilities, and tightening pricing consistency to support policy-relevant analyses. Key efforts include updating input data revisions (7.x), integrating MAgPIE emulators, expanding SSP configurations (including a data-driven SSP2_lowEn variant), and aligning biomass pricing to the RCP45 pathway. The work improves scenario realism, reproducibility, and cross-cutting data management while enabling flexible exploration of SSPs and sensitivity analyses.
8 Commits • 1 Features
Nov 1, 2024In November 2024, the remindmodel/remind work focused on delivering higher-fidelity scenario configurations, advancing calibration capabilities, and tightening pricing consistency to support policy-relevant analyses. Key efforts include updating input data revisions (7.x), integrating MAgPIE emulators, expanding SSP configurations (including a data-driven SSP2_lowEn variant), and aligning biomass pricing to the RCP45 pathway. The work improves scenario realism, reproducibility, and cross-cutting data management while enabling flexible exploration of SSPs and sensitivity analyses.
November 2024
Activity
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Quality Metrics
Correctness95.8%
Maintainability95.8%
Architecture95.0%
Performance94.0%
AI Usage20.6%
Skills & Technologies
Programming Languages
CSVGAMSMarkdownN/APythonRcfgcsvgms
Technical Skills
API developmentBug FixCI/CDChangelog ManagementClimate ModelingCode CleanupCode DocumentationCode RefactoringCode ReviewComment CleanupConfiguration ManagementCost Parameter AdjustmentData ConfigurationData InputData Management
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