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Andreas Bang Leed

PhD Fellow in Economics, Aarhus University  ·  Head of Data Science, Oxford Global Projects

I measure what others leave to guesswork, from the cost and risk of large infrastructure projects to the price of nature. My doctoral research in economics at Aarhus University concerns how to choose the right projects and make the best use of public resources, including how to measure and value nature. Since 2019 I have advised governments, multilateral organisations and consultancies in more than 25 countries on the likely final cost, duration and risk of major projects. For the Hong Kong Development Bureau I helped build an AI early-warning system that monitors its public-works portfolio. I am co-author of How to Measure Anything in Project Management (Wiley, 2025).

Experience

2025–

PhD Fellow in Economics

Aarhus University

Sep 2025 – May 2028 (expected)

Research on how to choose the right projects and make the best use of public resources. One strand examines how noise in cost and benefit estimates affects which projects are selected and how the selected projects perform against those estimates. Another estimates how the ecological quality of nearby nature is reflected in Danish house prices, so that nature can be valued in cost-benefit analysis.

2021–

External Examiner

Political Science & Social Data Science

Sep 2021 – Present

2019–

Head of Data Science

Oxford Global Projects

May 2019 – Present

Lead the data science team, which produces cost and schedule forecasts, quantitative risk analysis and AI-based early warning of cost overrun and delay for major projects worldwide. Clients include governments, multilateral organisations and consultancies.

2018–19

Business Analyst & Consultant

Implement Consulting Group

Feb 2018 – Apr 2019

Strategy and analytics consulting for public and private sector clients in Denmark.

2017–18

Research Assistant

University of Oxford

Saïd Business School  ·  Jan 2017 – Feb 2018

Supported research on megaproject management and performance.

2014–16

Research Assistant

Aarhus University

Dec 2014 – Dec 2016

Education

exp. 2028

PhD in Economics

Aarhus University

Sep 2025 – May 2028 (expected)

2019

MSc in Political Science

Aarhus University
2016

BSc in Political Science

Aarhus University

Teaching

current

Cost-Benefit Analysis in the Public Sector

Aarhus University

Master's course, 10 ECTS

Design and teach a master's-level course on cost-benefit analysis for public-sector decisions.

Selected impact

UK transport appraisal. Authored analysis for the UK Department for Transport that informed appraisal guidance shaping how billions of pounds of public investment are assessed.

Hong Kong early warning. Helped build the Project Supervision System, an AI early-warning system that monitors Hong Kong's public-works portfolio and flags projects drifting towards cost overrun or delay early enough to act.

Global advisory. Advised governments, multilateral organisations and consultancies across six continents, on projects from nuclear energy and transport to renewable power, artificial intelligence and biodiversity.

Publications and working papers

in prog.
Leed, A. B. The Price of Biodiversity: Hedonic Evidence from Danish Housing Markets. Working paper, Aarhus University.
2026
Leed, A. B. Noise, Selection, and the Illusion of Bias: How Unbiased Estimates Can Produce Systematic Cost Overruns. Working paper, Aarhus University. Earlier version posted as SSRN Working Paper No. 6429358, subtitled Why Unbiased Estimates Produce Systematic Cost Overruns.
2026
Leed, A. B. How to Measure Your Projects More Effectively. APM Project Journal, Spring 2026 (practitioner article).
2025
Hubbard, D. W., Budzier, A. & Leed, A. B. How to Measure Anything in Project Management. Wiley.
2025
Greig, C., Techau, M., Leed, A. & Budzier, A. Maintaining Capital Discipline in the Rush to Net-Zero Energy Systems. iScience, 28(4): 112241.
2022
Flyvbjerg, B., Budzier, A., Agard, K. & Leed, A. AI in Action: How the Hong Kong Development Bureau Built the Project Supervision System. Hong Kong Development Bureau (PSGO).
2021
Budzier, A. & Leed, A. Updating the Evidence Behind the Optimism Bias Uplifts for Transport Appraisals. UK Department for Transport.
2018
Budzier, A., Flyvbjerg, B., Garavaglia, A. & Leed, A. Quantitative Cost and Schedule Risk Analysis of Nuclear Waste Storage. SSRN Working Paper No. 3303410.

Selected talks

2026

Concept Symposium

Oslo, Norway

“Measuring What Matters”. The talk presented measurement as the reduction of uncertainty in project decisions and reviewed the evidence on which project methods improve outcomes, with an example from my current research on the value of biodiversity. Hosted by the Norwegian Ministry of Finance and organised by the Concept Research Programme at the Norwegian University of Science and Technology (NTNU).

2026

Danish Environmental Economics Conference

Skodsborg, Denmark

“The Price of Biodiversity: Hedonic Evidence from Danish Housing Markets”. Results from my current research on what homebuyers pay for the ecological quality of nearby nature, presented in the biodiversity session organised by the Danish Economic Councils (De Økonomiske Råd).

2026

Folkemødet

Allinge, Denmark

“Megaprojekter i Danmark – hvor gode er vi egentlig?” (megaprojects in Denmark: how good are we really?). Panel debate with directors from By & Havn, Metroselskabet and Region Sjælland at Denmark's annual democracy festival.

2026

Ledelseskonferencen

Odense, Denmark

“Evidensbaseret ledelse: Sådan måler du det, der betyder noget” (evidence-based management: how to measure what matters). Public-sector leadership conference.

2025

Project Controls Expo

London, United Kingdom

“How to Measure Anything in Project Management”.

2024

Machine Learning Week Europe

Munich, Germany

“Guarding Public Works Projects with an Early Warning System for the Hong Kong Development Bureau”.

Full list on the speaking page.

Expertise

  • Econometrics & Statistics
  • Cost & Schedule Forecasting
  • Risk Quantification
  • Monte Carlo Simulation
  • Bayesian Statistics
  • Machine Learning & AI
  • Cost-Benefit Analysis
  • Whole-Life Economics & Discounting
  • Fat Tails & Climate Risk
  • Environmental Economics & Nature Valuation
  • Reference Class Forecasting
  • Calibration & Value of Information
  • Decision Support
  • Python
  • R

A fuller account of roles, clients and research is on the About page. Publications with links are on the Publications page. Last updated September 2026.