ENGG562/ENV462: Climate Change Governance: Science, Data & Models

Instructors


Instructors:  Dr. Abubakr Muhammad, Dr. Talha Manzoor and Dr. Muhammad Awais

Emails: abubakr@lums.edu.pk talha.manzoor@lums.edu.pk and awais.m@lums.edu.pk  

TA:  Ahmed Saeed, Arfa Yaseen and Hamza Jawad Ansari

Course Description


Short version: This interdisciplinary course equips students with the tools, models, and frameworks necessary to understand and influence climate, water, energy, and food (WEF) policy through data-driven systems thinking. It blends technical modeling—such as integrated assessment models and data science—with governance insights into climate adaptation, sustainable agriculture, and infrastructure resilience. Students will engage in scenario-based planning, explore socio-technical systems, and work with real-world case studies, especially from the Indus Basin. The course culminates in a team-based policy modeling project using local or global datasets. 

Long version: This course explores the intersection of climate science, data analytics, and policy governance, equipping students to develop integrated scenarios with state-of-the-art modeling and data-visualization tools. You’ll begin each week with foundational readings and lectures, then apply those concepts in focused, in-class case-study discussions on scenario design, policy interventions, and sectoral analyses—covering mitigation, adaptation, impacts, risk management, and resilience across energy, water, agriculture, and their nexus. Each module features either a real-world case study, an invited practitioner seminar, or a field visit to a relevant agency. You might assess a national or provincial climate policy alongside a policymaker, observe disaster-response operations at an emergency management authority, or discuss grid-decarbonization strategies with an energy regulator. Weekly assignments will deepen your grasp of core concepts; radiative forcing, carbon budgets, governance instruments, and resilience planning, while small-group workshops will guide you through building and stresstesting future trajectories in Integrated Assessment Models and Scenario Explorer. The semester culminates in a capstone team project: you’ll formulate a governance question, construct a detailed future scenario, and deliver evidence-based recommendations for reducing climate risk. By the end of the course, you will be adept at translating complex scientific and policy data into clear, academically rigorous strategies—and in drafting a concise policy brief based on your project findings.

Course Prerequisite(s)


ENGG 562: 

  1. Graduate standing (any major) OR EE, CS, MATH, PHYS, CE undergraduates with min. junior standing OR min. Junior standing, along with the permission of the instructor. 
  2. Intermediate level experience of data analytics, and visualization using programming environments such as Python, MATLAB, R, C/C++ etc.

ENV 462: 

  1. For SSE undergraduates with a minimum. Junior standing OR by permission of the instructor 
  2. For non-SSE undergraduates with a minimum. Junior standing, along with any ENV2xx (or higher) course, OR by permission of the instructor
  3. Beginner-level experience in data analytics and visualization using Excel, Python, R, etc.

 

Course Learning Outcomes


  1. CLO1: Explain the physical drivers of climate change and key metrics (radiative forcing, carbon budgets, etc.). 
  2. CLO2: Critically assess climate policy and reporting frameworks (e.g., NDCs, carbon pricing, mitigation/adaptation). 
  3. CLO3: Apply computational modeling and data visualization tools to develop pathways for energy, water, and agriculture systems. 
  4. CLO4: Interpret & communicate complex scenario results to technical and non-technical audiences

Grading Breakup and Policy


For the two courses, lectures will be combined, but instruments/assessments/grading will be separate. 

Assignment(s): 20% 

Quiz(s): 10% 

Class Participation: 5% 

Midterm Examination: 20% 

Project: 25% 

Final Examination: 20%

Examination Detail


Midterm Exam: 

Yes/No: Yes

Combine/Separate: Separate 

Duration: 90 minutes

Preferred Date: Mid-week Exam Specifications: Open-book and open-notes.

Final Exam:

Yes/No: Yes

Combine/Separate: Separate

Duration: 3 hours

Exam Specifications: Open-book and open-notes.

 

Course Overview 


WeekModule and TopicsIn-Class ActivityReadings

1

Module 1A: Foundations of Climate Science 

  • Earth's energy balance 
  • Carbon cycle basics
Data visualization exercise: radiative forcing trendsKrauss, 2021. (Chapters 2-5) Schneider 2010 (Chapter 1)

2

  • Forcings & Feedbacks 
  • Observational evidence & models
Flipped discussion: IPCC report highlightsKrauss, 2021. (Chapters 7-8) Schneider 2010 (Chapter 2)

3

Module 1B: Anthropocene and the Modern Economy 

  • Energy, Water, AFLU
Accounting and footprinting 

4

Module 2A: Climate Reporting Frameworks 

  • International agreements (UNFCCC, Paris) 
  • NDCs
Policy case study: drafting a mock NDCETF reference manual by UNFCCC CDKN 2016 guide to climate reporting

5

Module 2B: Climate Policy Landscape 

  • Market instruments (carbon tax, ETS) 
  • Mitigation vs adaptation
Discussion: carbon pricing pros/consDessler 2021 (Chapters 11, 12)

6

Module 3A: Scenario Framing & Socio-economic pathways

  • Overview of the SSP-RCP scenario matrix 
  • Role of scenarios in climate science and policy
Build a narrative scenario in small groups

 IPCC AR6 WGI Chapter 1: Framing and context 

van Vuuren et al. (2014) – Scenario matrix architecture

7

Module 3B: Long-term mitigation pathways 

  • Quantification of socio-economic assumptions 
  • Global and regional outlook
Understanding the IPCC AR6 scenario design using the Scenario Explorer tool

IPCC AR6 WGIII Chapter 3: Mitigation pathways 

O'Neill et al. (2017) – SSP narratives and framing

8

Module 3C: Policy interventions in Integrated Scenarios 

  • Mitigation & adaptation policies in integrated scenarios 
  • Policy impacts on emissions & co-benefit
Deep dive into a region and a particular scenario

IPCC AR6 WGIII Chapter 6: Carbon pricing & fiscal tools

 IPCC AR6 WGIII Chapter 13: National policy case studies Riahi et al. 2017

9

Midterm & Review

  • Midterm quiz (Session 15) 
  • Feedback and Q&A (Session 14)
  

10

Module 4A: Water Systems 

  • Water demand & supply modeling 
  • Water Stress Hydrological 
  • Water Equity at multiple scales.
Mini-project: explore water conservation scenarios

Schneider 2010. (Chapter 6) 

Papers

11

Module 4B: Agriculture Systems 

  • Hydrological modeling basics 
  • Crop/climate risks
Exercise: agricultural yield under drought scenarios

Schneider 2010. (Chapter 10)

Papers

12

Case Study  

13

Module 4C: Water–Energy–Food Nexus

  •  Coupling sectors 
  • Trade-off analysis
Group exercise: optimize water allocation under energy demand

Webber 2016 (Chapters 2-6) 

Papers

14

15

Capstone Project Presentations 

  • Project briefs distributed 
  • Team formation & planning
Teams define the scope & data needs 

Textbook(s)/Supplementary Readings

General Reference and Introduction:

  • Krauss, Lawrence M. The physics of climate change. Post Hill Press, 2021.
  • Schneider, Stephen H., Armin Rosencranz, Michael D. Mastrandrea, and Kristin Kuntz-Duriseti. Climate change science and policy. Washington, DC: Island Press, 2010. 
  • Dessler, A.E. Introduction to modern climate change. Cambridge University Press, 2021
  •  Webber, M.E. Thirst for power: Energy, water, and human survival. Yale University Press, 2016.

Topical 

References for Self-Reading 

  • Sachs, Jeffrey D. The age of sustainable development. Columbia University Press, 2015. 
  • Smil, Vaclav. Grand transitions: How the modern world was made. Oxford University Press, 2021.
  • World Economic Forum Water Initiative, Water security: the water-food-energy-climate nexus. Island Press, 2012.