remindmodel/remind
Nov 2024 – Mar 2026
12 Months active
Languages Used
CSVGAMSRcsvMarkdownTextcfgtext
Technical Skills
Climate ModelingCode CleanupConfiguration ManagementData AnalysisData ManagementData Modeling
Laurin Köhler-Schindler
PROFILE
Laurin Köhler-schindler
Laurin Koehler-Schindler developed and maintained advanced climate and air pollution modeling features in the remindmodel/remind repository over a twelve-month period. He expanded scenario coverage, integrated GAINS2025 data, and enhanced emissions tracking and reporting, focusing on configuration management and code maintainability. Laurin refactored core modules for carbon pricing and tax policy, improved data pipelines, and aligned scenario definitions for reproducibility and policy analysis. Using GAMS, R, and CSV, he implemented robust data handling, visualization, and documentation practices. His work addressed both backend logic and user-facing outputs, resulting in a more reliable, transparent, and extensible modeling platform for climate policy research.
Overall Statistics
Feature vs Bugs
72%Features
Repository Contributions
147Total
Bugs
16
Commits
147
Features
42
Lines of code
16,999
Activity Months12
Your Network
70 peopleWork History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for remindmodel/remind focusing on feature delivery and code quality improvements in air pollutant visualization.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for remindmodel/remind focusing on feature delivery and code quality improvements in air pollutant visualization.
March 2026
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025: Focused on improving readability, maintainability, and documentation for GAINS2025 emissions modules in remindmodel/remind. Implemented targeted refactors including module suffixes for 11_aerosols parameters/sets, removal of an unused set, and variable renaming for consistency. Updated the CHANGELOG to document movement of emissions calculations and renewable energy share targets. These changes enhance code quality, reduce future maintenance effort, and support more reliable emissions modeling while maintaining stable functionality (no major defects reported).
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025: Focused on improving readability, maintainability, and documentation for GAINS2025 emissions modules in remindmodel/remind. Implemented targeted refactors including module suffixes for 11_aerosols parameters/sets, removal of an unused set, and variable renaming for consistency. Updated the CHANGELOG to document movement of emissions calculations and renewable energy share targets. These changes enhance code quality, reduce future maintenance effort, and support more reliable emissions modeling while maintaining stable functionality (no major defects reported).
October 2025
11 Commits • 4 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on deliverables, impact, and technical excellence for remind model development. Highlights include policy alignment for ScenarioMIP, visualization enhancements, emissions reporting improvements, modularization efforts, and a bug fix that stabilizes Livestock Share visual outputs. The work demonstrates strong configuration management, cross-module integration, and data-driven improvements with clear business value for climate policy analysis and decision support.
11 Commits • 4 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on deliverables, impact, and technical excellence for remind model development. Highlights include policy alignment for ScenarioMIP, visualization enhancements, emissions reporting improvements, modularization efforts, and a bug fix that stabilizes Livestock Share visual outputs. The work demonstrates strong configuration management, cross-module integration, and data-driven improvements with clear business value for climate policy analysis and decision support.
October 2025
September 2025
23 Commits • 7 Features
Sep 1, 2025Monthly summary for 2025-09 for remindmodel/remind: Delivered major GAINS2025 integration (parts 1-3) with data mapping to REMIND and updated GAMS/exoGAINS2025, including exoGAINS2025AirPollutants refinements and waste handling adjustments; stabilized IO/data flow and folder mapping; fixed critical data issues (NDC missing input data file) and ensured NA handling before export; advanced configuration by setting SSP2-default for SSP2IndiaHigh and aligning default SSP2 settings; performed maintenance/cleanup (descriptions, config cleanup, changelog) and exoGAINS/ScenarioMIP housekeeping; enhanced logging and reporting (base-year emissions, detailed air pollutant reporting via CS2) and updated run naming. This work improves data quality, reproducibility, and business value by reducing pipeline risk, enabling reliable policy scenarios, and enabling deeper emissions analysis.
September 2025
23 Commits • 7 Features
Sep 1, 2025Monthly summary for 2025-09 for remindmodel/remind: Delivered major GAINS2025 integration (parts 1-3) with data mapping to REMIND and updated GAMS/exoGAINS2025, including exoGAINS2025AirPollutants refinements and waste handling adjustments; stabilized IO/data flow and folder mapping; fixed critical data issues (NDC missing input data file) and ensured NA handling before export; advanced configuration by setting SSP2-default for SSP2IndiaHigh and aligning default SSP2 settings; performed maintenance/cleanup (descriptions, config cleanup, changelog) and exoGAINS/ScenarioMIP housekeeping; enhanced logging and reporting (base-year emissions, detailed air pollutant reporting via CS2) and updated run naming. This work improves data quality, reproducibility, and business value by reducing pipeline risk, enabling reliable policy scenarios, and enabling deeper emissions analysis.
July 2025
7 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for remindmodel/remind: Focused on delivering ScenarioMIP configuration improvements and alignment with the latest versions, combined with a key policy consistency bug fix. The work enhances data transparency, configuration reliability, and regional consistency for historical and forward-looking analyses.
7 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for remindmodel/remind: Focused on delivering ScenarioMIP configuration improvements and alignment with the latest versions, combined with a key policy consistency bug fix. The work enhances data transparency, configuration reliability, and regional consistency for historical and forward-looking analyses.
July 2025
June 2025
14 Commits • 2 Features
Jun 1, 2025June 2025: Key features delivered include: (1) Carbon Pricing Module Enhancements and Refactor enabling regional differentiation and GDP-per-capita-based parameterization with dynamic trajectories; includes bug fixes to ensure correct price calculations, robust data initialization, and parameter cleanup (notable commits: 7f33eed75bb97b19564dc297c8401d29d835d2da, 3b5221e2693cd61d74146004901bbd6946cc0bb1). (2) ScenarioMIP Configuration Updates aligning with the carbon pricing refactor and adjusting convergence timing for delayed-start models. (3) PyPSA Configuration Bug Fix resolving duplication in scenario_config_PyPSA.csv to prevent loading/processing errors.
June 2025
14 Commits • 2 Features
Jun 1, 2025June 2025: Key features delivered include: (1) Carbon Pricing Module Enhancements and Refactor enabling regional differentiation and GDP-per-capita-based parameterization with dynamic trajectories; includes bug fixes to ensure correct price calculations, robust data initialization, and parameter cleanup (notable commits: 7f33eed75bb97b19564dc297c8401d29d835d2da, 3b5221e2693cd61d74146004901bbd6946cc0bb1). (2) ScenarioMIP Configuration Updates aligning with the carbon pricing refactor and adjusting convergence timing for delayed-start models. (3) PyPSA Configuration Bug Fix resolving duplication in scenario_config_PyPSA.csv to prevent loading/processing errors.
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary focusing on the remindmodel/remind repo. Delivered ScenarioMIP Configuration Enhancements consolidating policy naming, scenario coverage, and data export alignment. Scope: configuration updates across techpol naming, Advanced Pricing (AP) scenarios, and IIASA export script alignment; also removed an unnecessary monotonicity constraint in VLLO where a BII target exists. No separate bug fixes were reported in this scope; improvements emphasize configuration integrity, data consistency, and expanded scenario support to enable more accurate planning and faster data pipelines.
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary focusing on the remindmodel/remind repo. Delivered ScenarioMIP Configuration Enhancements consolidating policy naming, scenario coverage, and data export alignment. Scope: configuration updates across techpol naming, Advanced Pricing (AP) scenarios, and IIASA export script alignment; also removed an unnecessary monotonicity constraint in VLLO where a BII target exists. No separate bug fixes were reported in this scope; improvements emphasize configuration integrity, data consistency, and expanded scenario support to enable more accurate planning and faster data pipelines.
May 2025
April 2025
7 Commits • 2 Features
Apr 1, 2025April 2025 — remindmodel/remind: Focused on stabilizing and aligning ScenarioMIP configuration with the latest modeling requirements, and expanding emissions tracking capabilities across scenarios. Key work spans config governance, cross-scenario alignment, and enhanced reporting, delivering tangible business value through data integrity and observability.
April 2025
7 Commits • 2 Features
Apr 1, 2025April 2025 — remindmodel/remind: Focused on stabilizing and aligning ScenarioMIP configuration with the latest modeling requirements, and expanding emissions tracking capabilities across scenarios. Key work spans config governance, cross-scenario alignment, and enhanced reporting, delivering tangible business value through data integrity and observability.
March 2025
16 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for the remind project (repo: remindmodel/remind). Focused on consolidating model configuration, expanding scenario coverage, and strengthening pricing realism to support policy analysis and decision making. Deliverables include major configuration and scenario updates, enhancements to net-negative emissions modeling, tuning of carbon pricing parameters, and robust housekeeping (code, docs, dependencies) to reduce production risk and improve reproducibility.
16 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for the remind project (repo: remindmodel/remind). Focused on consolidating model configuration, expanding scenario coverage, and strengthening pricing realism to support policy analysis and decision making. Deliverables include major configuration and scenario updates, enhancements to net-negative emissions modeling, tuning of carbon pricing parameters, and robust housekeeping (code, docs, dependencies) to reduce production risk and improve reproducibility.
March 2025
February 2025
17 Commits • 2 Features
Feb 1, 2025February 2025 — Remind development momentum focused on robustness, maintainability, and policy modeling accuracy for remindmodel/remind. Key features and fixes delivered this month include: (1) Global CO2 budget convergence: centralized budget computation, absolute deviation approach, and a switchable convergence criterion, with improved iteration tracking and cross-run robustness; (2) Tax module enhancements: refactoring to split tax revenue into real and pseudo components, addition of bioenergy tax split, and an updated tax convergence base year (2025) for alignment and phase-out; (3) Configuration and scenario data hygiene: removal of deprecated switches, alignment of forbidden column names, and ScenarioMIP integration in summation checks to ensure data consistency; (4) Reporting alignment work: insertion and removal of a temporary parameter to harmonize remind2 reporting, followed by cleanup. In parallel, core quality checks and minor cleanups improved code health and maintainability.
February 2025
17 Commits • 2 Features
Feb 1, 2025February 2025 — Remind development momentum focused on robustness, maintainability, and policy modeling accuracy for remindmodel/remind. Key features and fixes delivered this month include: (1) Global CO2 budget convergence: centralized budget computation, absolute deviation approach, and a switchable convergence criterion, with improved iteration tracking and cross-run robustness; (2) Tax module enhancements: refactoring to split tax revenue into real and pseudo components, addition of bioenergy tax split, and an updated tax convergence base year (2025) for alignment and phase-out; (3) Configuration and scenario data hygiene: removal of deprecated switches, alignment of forbidden column names, and ScenarioMIP integration in summation checks to ensure data consistency; (4) Reporting alignment work: insertion and removal of a temporary parameter to harmonize remind2 reporting, followed by cleanup. In parallel, core quality checks and minor cleanups improved code health and maintainability.
December 2024
27 Commits • 12 Features
Dec 1, 2024Performance-review-ready monthly summary for 2024-12. The month focused on delivering flexible, policy-relevant modeling capabilities in remind and aligning configurations across related repos, while improving documentation and maintainability. Key value outcomes include more accurate scenario exploration, reproducibility, and faster issue resolution through cleaned configurations and better governance.
27 Commits • 12 Features
Dec 1, 2024Performance-review-ready monthly summary for 2024-12. The month focused on delivering flexible, policy-relevant modeling capabilities in remind and aligning configurations across related repos, while improving documentation and maintainability. Key value outcomes include more accurate scenario exploration, reproducibility, and faster issue resolution through cleaned configurations and better governance.
December 2024
November 2024
17 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for remind model development focused on expanding scenario capabilities, stabilizing configurations, and delivering data updates that enhance modeling fidelity and business value. Key achievements (top 4-5): - ScenarioMIP integration with elastic demand: added config files, updated coupling config, and adapted value mappings to enable ScenarioMIP usage within remind (commits: Add config files for ScenarioMIP; Update coupling config for ScenarioMIP; Modifying cfg to cfg_mag, adapting value to 1). - New climate scenarios SSP3-NPi2025 and NDCsy2025: introduced across SSPs with corresponding data updates (commits: Added SSP3-NPi2025 and remove growth rate; Adding NDCsy2025 and minor bug fixes). - Policy reversal enhancements for NPi/NDC: introduced reversal parameters for policy reversals in NPi/NDC for H scenario (commit: Add policy reversal of NPi and NDC for H scenario). - NPi/NDC configuration fixes and consistency: multiple targeted fixes improving iterative target adjustments, SSP2/NPi2025 alignment, and scenario_config stability (commits include: Set cm_iterative_target_adj to 0 for NPi; Set carbonprice to none for H scenario; several bug fixes for NPI2025; fix non-SSP2-NPi2025 to SSP2-NPi2025; adjust path_gdx_refpolicycost; additional bug fixes). - Configuration cleanup and minor typos fixes: improved maintainability with typo fixes and config cleanups (commits: Typo fixed; Set OAE assumptions; Last fixes for 45_refactoring). Impact and business value: These changes expand modeling coverage (ScenarioMIP and new climate scenarios), improve modeling fidelity for policy reversals, and reduce deployment risk through targeted configuration fixes and cleanups. The work supports more accurate scenario planning for clients and internal decision support, while reinforcing code quality and maintainability. Technologies/skills demonstrated: configuration management, model coupling, ScenarioMIP integration, climate scenario data handling, bug triage and regression fixes, and documentation of changes to support rapid onboarding and audits.
November 2024
17 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for remind model development focused on expanding scenario capabilities, stabilizing configurations, and delivering data updates that enhance modeling fidelity and business value. Key achievements (top 4-5): - ScenarioMIP integration with elastic demand: added config files, updated coupling config, and adapted value mappings to enable ScenarioMIP usage within remind (commits: Add config files for ScenarioMIP; Update coupling config for ScenarioMIP; Modifying cfg to cfg_mag, adapting value to 1). - New climate scenarios SSP3-NPi2025 and NDCsy2025: introduced across SSPs with corresponding data updates (commits: Added SSP3-NPi2025 and remove growth rate; Adding NDCsy2025 and minor bug fixes). - Policy reversal enhancements for NPi/NDC: introduced reversal parameters for policy reversals in NPi/NDC for H scenario (commit: Add policy reversal of NPi and NDC for H scenario). - NPi/NDC configuration fixes and consistency: multiple targeted fixes improving iterative target adjustments, SSP2/NPi2025 alignment, and scenario_config stability (commits include: Set cm_iterative_target_adj to 0 for NPi; Set carbonprice to none for H scenario; several bug fixes for NPI2025; fix non-SSP2-NPi2025 to SSP2-NPi2025; adjust path_gdx_refpolicycost; additional bug fixes). - Configuration cleanup and minor typos fixes: improved maintainability with typo fixes and config cleanups (commits: Typo fixed; Set OAE assumptions; Last fixes for 45_refactoring). Impact and business value: These changes expand modeling coverage (ScenarioMIP and new climate scenarios), improve modeling fidelity for policy reversals, and reduce deployment risk through targeted configuration fixes and cleanups. The work supports more accurate scenario planning for clients and internal decision support, while reinforcing code quality and maintainability. Technologies/skills demonstrated: configuration management, model coupling, ScenarioMIP integration, climate scenario data handling, bug triage and regression fixes, and documentation of changes to support rapid onboarding and audits.
Activity
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Quality Metrics
Correctness90.2%
Maintainability90.4%
Architecture87.8%
Performance82.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#CSVGAMSMarkdownRTextcfgcsvtext
Technical Skills
Air Pollution ModelingBackend DevelopmentBudget ManagementBudgetary AnalysisBug FixBug FixingCarbon PricingClimate ModelingClimate Policy AnalysisClimate Policy ModelingCode CleanupCode CommentingCode MaintenanceCode RefactoringCode Review
Repositories Contributed To
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