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British Council Going Global Partnerships 2025

Empowering a
Low-Carbon Future!

A growing portfolio of UK–Pakistan research collaborations tackling deforestation, energy transition, and climate resilience through AI, IoT, wireless sensing, and digital innovation.

Program Overview

The ELCF project advances support for a low-carbon economy through AI, IoT, and Digital Twins, fostering UK–Pakistan collaboration to drive sustainable solutions that reduce carbon emissions and promote long-term environmental and economic resilience, with gender equality and inclusivity embedded at every stage.

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5 Jan

2026 Start Date

£40K

Max Grant

14

UK Participants

15

Pakistan Participants

3

Project Phases

5

Core Activities

Core Activities

Implementation Plan — 5 Activities across 3 Phases

1

Phase I

Global Partnerships for Transformative Research

Connecting expertise across borders to deliver innovation, inclusion, and climate resilience. Structured networking, joint presentations, and team-building to establish partnerships.

Output

Partnership networks and joint research drafts. Initial partnership agreements for energy efficiency and low-carbon technologies.

Indicator

50+ researchers convened, 90%+ satisfaction. AI, IoT, digital twin solutions for carbon reduction.

2

Phase I

Joint Research Workshop on Emerging Technologies for Low-Carbon Transition

Workshop on technologies for low-carbon energy systems, convening AI, IoT, and digital twin experts from both countries. Expert presentations on technology-driven forecasting and carbon reduction.

Output

UK-Pakistan workshop report. Open-access materials on a joint platform and policy briefs on decarbonisation.

Indicator

30-40 researchers participating, 90%+ feedback. Formalised collaborations and disseminated policy briefs.

3

Phase II

Enhancing Global Knowledge Exchange & Establishing a Knowledge Exchange Hub

Workshop to introduce a digital knowledge exchange platform. AI-enabled platform for sharing low-carbon research among institutions in both countries.

Output

Knowledge Exchange Hub with case studies, open resources, ready for stakeholders in both countries.

Indicator

High institutional registrations, resource uploads, and cross-country collaborations via the Hub.

4

Phase II – III

Joint Capacity Development & Knowledge Exchange for Sustainable Innovation

Universities and vocational institutions collaborate to provide training on AI, IoT, and digital twins for low-carbon systems. Blended learning with simulation toolkits.

Output

AI-IoT curriculum with blended learning and simulation toolkits producing skilled participants.

Indicator

Participant completion, measurable skill advancement, real-world application of toolkits.

5

Phase III

Embedding Gender Equality and Inclusivity in Research

Prioritises gender and EDI as integral to advancing a low-carbon economy. Meaningful participation of women and marginalised groups in co-developing inclusive solutions.

Output

Equal gender representation throughout research. Higher quality outcomes through diverse perspectives.

Indicator

Enhanced participation from women and underrepresented groups. Inclusive policy recommendations.

Gender Equality & EDI

Equality, Diversity & Inclusion Framework

40%

Minimum female participation in training & mentoring

35%

Female in workshops & talks

30%

Women in supervisory roles

100+

Early-career researchers, 40%+ women

Context: Why Gender Equality Matters Here

In Balochistan, female literacy stands at just 32.8% (vs 50.5% for men). Women are significantly underrepresented in STEM at BUITEMS — especially in AI, engineering, and environmental sciences. Financial constraints, mobility challenges, and restrictive cultural norms compound exclusion.

Targeted Measures

Active recruitment of women from rural communities, females with disabilities, and minority gender participants. All activities offered in hybrid formats. Tailored mentoring and leadership tracks connecting early-career women with senior academic mentors from both countries.

Broader EDI Dimensions

Beyond gender, the project addresses socio-economic background, disability, ethnicity, and age. Diverse ethnic and religious communities in Quetta co-shape technology-driven low-carbon strategies. Early-career researchers from excluded backgrounds gain mentoring opportunities.

Monitoring & Verification

Gender-disaggregated data collected and reported at every stage. Gender-specific indicators embedded in M&E framework. Two peer-reviewed journal articles with gender-responsive research outputs planned as long-term deliverables.

Consortium Partners

Institutional Partners & Collaborators

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Research Team

dr. kamran ali

Dr. Kamran Ali

Principal Investigator – UK
Middlesex University, London

syed sardar

Dr. Syed Sardar Muhammad

Co Principal Investigator – UK
Brunel University, London

anum kiyani

Dr. Anum Kiyani

Co Principal Investigator – UK
Middlesex University, London

rozeena

Principal Investigator – Pakistan
BUITEMS, Quetta

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Co Principal Investigator – Pakistan
BUITEMS, Quetta

bushra haq

Co Principal Investigator – Pakistan
BUITEMS, Quetta

maqsood ahmad

Co Principal Investigator – Pakistan
BUITEMS, Quetta

sobia

Co Principal Investigator – Pakistan
BUITEMS, Quetta