ItemList
number of items: 11
total items: 11
item list element: CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
item list element: 20th Ruhr Graduate Summer School
item list element: DAISY Summer School 2026: Data Analytics for Innovation and Sustainability
item list element: TWENTY-FIFTH SUMMER SCHOOL IN INTERNATIONAL AND DEVELOPMENT ECONOMICS
item list element: Summer School on Bayesian Methods for Experimental Economics
item list element: Summer School on Modern Topics in Time Series Analysis 2026
item list element: Oxford University Economics Summer School
item list element: Summer School - Seeing through the algorithms: a summer school on machine learning & AI for economists
item list element: BSE Summer School 2026: Economics, Finance, Data Science, and related fields
item list element: Global School in Empirical Research Methods GSERM at the University of St.Gallen
item list element: Tinbergen Institute Summer School
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CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
type: Course
title: CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
description: This is a Virtual Summer school (online) this year. Registration is now open for the CIMS summer school 2026. Register Here This year's Summer school will feature: Foundations of DSGE Macro Modelling The five-day course in Foundations of DSGE Modelling will run from 07-11 September 2026. The five days will consist of foundations courses aimed at early researchers with some knowledge of Real Business Cycle (RBC) or Dynamic Stochastic General Equilibrium (DSGE) macroeconomic models, but little or no experience of Dynare. This course assumes a basic knowledge of Matlab and will begin with the basics of Dynare and proceed to the construction, in stages, of a closed economy New Keynesian (NK) DSGE model. It will then progress to the estimation by Bayesian methods, the study of optimal monetary policy and finish with an extension to the open economy NK DSGE model. The course is aimed at MSc, MRes and PhD students, early researchers, and research staff from central banks, ministries and the private sector, all with some prior experience of macroeconomic modelling and a basic knowledge of Matlab. No prior knowledge of Dynare is necessary. Please note that all participants need to have their own copy of Matlab (https://www.mathworks.com/products/matlab.html) for the course on Foundations of DSGE Macro Modelling. There is a short-term license available for students which is worth checking: https://www.mathworks.com/campaigns/products/trials.html Advanced Macro-Modelling with Applications to Numerical Methods and Heterogeneous Agents The five-day course in Advanced Modelling will run from 14-18 September 2026. The advanced course is aimed at people who are already fluent in Dynare and Matlab, but are finding that their ambition currently exceeds what they are able to do with these tools. We will cover advanced numerical and computational methods to enable people to tackle non-standard models. This course will be useful to anyone who is engaged in practical macroeconomic modell…
disambiguating description: Following highly successful Summer Schools in previous years, the Centre for International Macroeconomic Studies (CIMS) in the School of Economics, University of Surrey will hold two online summer schools on the Macroeconomics/DSGE School (Foundation and Advanced), from September 7 to 18, 2026. Foundations of DSGE Macro Modelling will consist of a five-day course running from 7 September to 11 September 2026. Advanced Macro-Modelling with Topics including Numerical Methods and Heterogeneous Agents will consist of a five-day course running from 14 September to 18 September 2026.
date posted: 2026-05-09T15:40:23Z
date modified: 2026-08-20T15:10:45Z
valid through: 2026-09-06T21:59:59Z
start date: 2026-09-07T08:00:00Z
end date: 2026-09-18T21:59:59Z
hiring organization: The University of Surrey
job location: Place
  address: PostalAddress
    address locality: Guildford
    address region: England
    address country: GB
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Heterogeneous Agent Model
keywords: Monetary Policy
keywords: New Keynesian Model
keywords: dynare
keywords: Macroeconomics
keywords: DSGE Modelling
keywords: Bayesian Estimation
keywords: Computational economics
type: course
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://www.surrey.ac.uk/centre-international-macroeconomic-studies/summer-schools

20th Ruhr Graduate Summer School
type: Course
title: 20th Ruhr Graduate Summer School
description: To combat climate change, many countries have committed to achieving net-zero emissions by 2050. The successful transition towards a zero-emission economy will depend on the ability to power energy-related processes with electricity from carbon-free renewable energy sources. This workshop will present state-of-the-art computable general equilibrium (CGE) models that are widely used in applied economic research to study the impacts of emissions reductions policies. The standard top down framework of CGE models will be complemented by a bottom-up representation of the electricity system to capture the pivotal role of carbon-free supply and demand technologies for decarbonizing the economy as a whole. The course will build on seminal peer-reviewed publications combining methodological expertise on hybrid bottom-up/top-down modeling with policy-relevant applications, ranging from technology-specific regulations (e.g. green subsidies, renewable portfolio standards, energy efficiency standards, technology bans) to economy-wide emissions pricing and revenue-rebating schemes (green tax reforms). Guided by a series of lectures and hands-on modeling exercises, participants will develop step by step the capacity to re-formulate model codes towards their own needs in academic research or policy consultancy. Mathematically, the models are formulated and implemented as so-called “mixed complementarity problems” (MCP), stating complementarity of economic equilibrium conditions with associated economic decision variables. The fundamental strength of the MCP format (beyond the standard approach of treating equilibrium conditions as a system of nonlinear equations) is the ability to handle corner solutions and regime shifts that are central to the analysis of sorting decisions, such as discrete technology choices. For the computer implementation of the numerical models the course uses the high-level programming language GAMS (Generalized Algebraic Modeling System) whose notation clos…
disambiguating description: 20th Ruhr Graduate Summer School: Economic Analysis of Net-Zero Emissions Policies Using GAMS and MPSGE
date posted: 2026-03-16T13:03:32Z
date modified: 2026-06-18T07:49:06Z
valid through: 2026-09-11T21:59:59Z
start date: 2026-10-05T08:00:00Z
end date: 2026-10-09T21:59:59Z
hiring organization: Ruhr Graduate School in Economics (RGS Econ)
job location: Place
  address: PostalAddress
    address locality: Essen
    address region: North Rhine-Westphalia
    address country: DE
employment type: onsite
language: en
keywords: cge
keywords: GAMS
keywords: economics
keywords: environment
type: course
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
more info url: https://iwb.wiwi.uni-due.de/fileadmin/fileupload/VWL-INT/AGMOV.archiv/RGSS_announcement_2026.pdf

DAISY Summer School 2026: Data Analytics for Innovation and Sustainability
type: Course
title: DAISY Summer School 2026: Data Analytics for Innovation and Sustainability
description: WHEN AND WHERE September 7-11, 2026 Taranto, Italy APPLY HERE OVERVIEW Recent advances in data availability and analytical techniques have profoundly transformed empirical research in economics. At the same time, innovation and sustainability have become central topics in both academic and policy debates. DAISY responds to these developments by offering a coherent training program that explicitly connects data sources, empirical methods, and applications in recent academic papers. A distinctive feature of DAISY is its strong orientation toward applications and academic papers. Lectures and hands-on sessions are closely linked to recent contributions in leading journals, allowing participants to engage directly with real research examples and empirical strategies. The program combines lectures, practical sessions, and interactive discussions in an international and collaborative learning environment. DAISY is an international summer school designed to train PhD students and early-career researchers in the data, methods, and empirical applications to study innovation and sustainability in Economics. SPEAKERS Gaétan de Rassenfosse (EPFL) Marco Vivarelli (Università Cattolica) Francesco Quatraro (University of Turin) Valeria Costantini (University of Roma Tre) Elisa Giuliani (University of Pisa) Sergio Petralia (Utrecht University) Fabrizio Fusillo (University of Turin) Claudia Ghisetti (University of Milan Bicocca) Gianluca Orsatti (University of Turin) Alessandra Scandura (University of Turin) Martina Iori (Università Cattolica) Alessandra Catozzella (Boston Consulting Group) Massimiliano Coda Zabetta (University of Turin) THE VENUE The venue of the Summer School is the Farm House Tenuta del Barco. Tenuta del Barco Wine Restaurant and Hospitality is located in the heart of Puglia, in a 16th-century farmhouse with a historic courtyard, just steps from the beautiful beaches of the Ionian Sea and surrounded by Primitivo and Negroamaro DOC vineyards. APPLICATION PACKAGE P…
disambiguating description: An international summer school designed for PhD students and early-career researchers focused on data analytics in innovation and sustainability.
date posted: 2026-06-05T08:24:06Z
date modified: 2026-06-05T12:30:01Z
start date: 2026-09-07T08:00:00Z
end date: 2026-09-11T21:59:59Z
hiring organization: University of Turin
job location: Place
  address: PostalAddress
    address locality: Taranto
    address region: Apulia
    address country: IT
employment type: onsite
language: en
keywords: innovation
keywords: economics summer school
keywords: economics
keywords: data analytics
keywords: data science
keywords: summer school
keywords: technology
keywords: LLM
keywords: sustainability
keywords: artificial intelligence
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: economicdevelopmentgrowth
disciplines: datascience
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Data Science
more info url: https://www.daisy-summerschool.it/

TWENTY-FIFTH SUMMER SCHOOL IN INTERNATIONAL AND DEVELOPMENT ECONOMICS
type: Course
title: TWENTY-FIFTH SUMMER SCHOOL IN INTERNATIONAL AND DEVELOPMENT ECONOMICS
description: Scientific Committee: Mariapia Mendola (Chair, University of Milan Bicocca, CEPR and LdA), Lucia Corno (Cattolica University, LEAP and CEPR), Giovanna d'Adda (University of Milan and LdA), Andrea Guariso (University of Milan Bicocca, LdA and LEAP), Niccolò Meriggi (University of Oxford and IGC), Marco Sanfilippo (University of Turin, CCA and LdA). Description The school intends to provide an intensive training course for graduate students and young researchers who are working in the field of development and international economics. This year the focus will be on the use of big data and AI in development economics. For further information and teaching material, please refer to: https://dagliano.unimi.it/ or send and email to: centro.dagliano@unimi.it. Participants The school is targeted to graduate students, doctoral students and post-doctoral researchers in economics with a focus on development economics. Students are expected to attend the school full time. Applications and deadlines The participants will be selected by the Selection Committee on the basis of the information included in the application forms and CVs.Please submit your application form together with your CV here. The deadline for submission is 4th May, 2026. Late applications will not be accepted. Applicants will be informed by email about the results no later than 15th June 2026. Location The school will take place at Castello di Gargonza, a medieval village and historic residence in the world-famous Tuscany countryside. The 13th century fortified hamlet is surrounded by more than 600 hectares of forest, olive groves and vineyards and overlooks the Val di Chiana. It is the perfect place for summer schools and conferences, as all the facilities are offered in the same place. Gargonza is also the ideal destination to discover Tuscany. It is located 100 km south-est of Florence between the beautiful cities of Siena and Arezzo. Local information will be provided to participants in due course.
disambiguating description: TWENTY-FIFTH SUMMER SCHOOL IN INTERNATIONAL AND DEVELOPMENT ECONOMICS: "Economic Development in the Age of Big Data and AI" 1-4 September 2026, Castello di Gargonza, Tuscany, Italy Lecturers: Samuel Asher (Imperial College Business School, Development Data Lab and CEPR) and Paul Novosad (Dartmouth College and Development Data Lab) Organisers: Centro Studi Luca d’Agliano, Fondazione Collegio Carlo Alberto and Vilfredo Pareto Doctoral Program in Economics of the University of Turin, DEMS- University of Milan Bicocca, Cattolica University, Centre for Economic Policy Research (CEPR), Centre for the Study of African Economies – Oxford University, IGC; in collaboration with the World Bank Institute for Economic Development.
date posted: 2026-03-16T14:19:23Z
date modified: 2026-03-16T14:34:15Z
start date: 2026-09-01T08:00:00Z
end date: 2026-09-04T21:59:59Z
hiring organization: Centro Studi Luca d'Agliano, University of Milan
job location: Place
  address: PostalAddress
    address country: IT
employment type: onsite
language: en
keywords: development
keywords: Big data
type: course
disciplines: internationaleconomics
disciplines: economics
disciplines: socialscience
disciplines: economicdevelopmentgrowth
discipline labels: International Economics (JEL F)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
more info url: https://dagliano.unimi.it/

Summer School on Bayesian Methods for Experimental Economics
type: Course
title: Summer School on Bayesian Methods for Experimental Economics
description: Applications for the two events are open! (deadline Feb 20) Summer School: <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsummerschoolbmee.netlify.app%2F&data=05%7C02%7COumaima.DALI%40um6p.ma%7C418b3664cb4d4fdbd46508de63fa422b%7C39626157a047468987a26fa645cb5cb7%7C1%7C0%7C639058123662241403%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=UIbEsrPzlVFrWPHtdT4tqvixNyOo48VRSTIC90tYQVU%3D&reserved=0" target="_blank">https://summerschoolbmee.netlify.app/ ESA Africa : <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fairess.fgses-um6p.ma%2FESA-Africa2026&data=05%7C02%7COumaima.DALI%40um6p.ma%7C418b3664cb4d4fdbd46508de63fa422b%7C39626157a047468987a26fa645cb5cb7%7C1%7C0%7C639058123662269984%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=vKI11oX5felKrG2sQe2QxoHRcASQ70V9%2BvYh1L2XkNA%3D&reserved=0" target="_blank">https://airess.fgses-um6p.ma/ESA-Africa2026 The four-day summer school focuses on Bayesian methods in experimental economics—decision models, heterogeneity, structural estimation, RCT analysis, and meta-analysis. Hosted on UM6P’s lovely campus with great amenities (pool, courts, gym): a perfect setting to learn and connect. Confirmed teachers include: Thomas Epper, CNRS, on structural estimations Taisuke Imai, University of Osaka, on meta analyses Fabio Maccheroni, University of Bocconi, on decision science Rafe Meager, University of New South Wales, on Bayesian RCT The summer school is sponsored by ESA and organized in partnership with the Paris School of Economics, and discounted fees apply for students participating in both the UM6P and PSE summer schools. <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.parisschoolofeconomics.eu%2Fen%2Fsummer-school%2Fexperimental-economics%2F&data=05%7C02%7COumaima.DALI%40um…
disambiguating description: The summer school “Bayesian Methods for Experimental Economics” will be held at University Mohammed VI Polytechnic (UM6P), Rabat, on June 18–21, 2026, immediately following ESA Africa (June 15–17) at the same venue.
date posted: 2026-02-12T11:11:50Z
date modified: 2026-07-03T11:10:24Z
valid through: 2026-02-20T22:59:59Z
start date: 2026-06-18T08:00:00Z
end date: 2026-06-21T21:59:59Z
hiring organization: Mohammed VI Polytechnic University
job location: Place
  address: PostalAddress
    address locality: Rabat
    address region: Rabat-Salé-Kénitra
    address country: MA
employment type: onsite
language: en
keywords: Economics
keywords: summerschool
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: generaleconomics
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: General Economics (JEL A)
discipline labels: Statistics
more info url: https://summerschoolbmee.netlify.app/

Summer School on Modern Topics in Time Series Analysis 2026
type: Course
title: Summer School on Modern Topics in Time Series Analysis 2026
description: 5th Klagenfurt-Bielefeld Summer School on Modern Topics in Time Series Analysis Main Facts Time: September 7-11, 2026 Venue: University of Klagenfurt, Austria Capacity: 40 participants Fee: EUR 550 (PhD students); EUR 700 (others) Target Audience The summer school’s target audience are primarily PhD students. However, the school also welcomes young post-doctoral researchers (from universities, research institutes or (central) banks) and professionals with a strong formal background seeking to extend their knowledge base in time series analysis. A good preliminary knowledge of the main work-horses of time series analysis, e.g., estimation and specification of vector autoregressive models, is expected. Important Dates May 15, 2026: Deadline for Application June 1, 2026: Notification of Acceptance June 15, 2026: Deadline for Registration Cancellation Policy Until August 2, 2026: free of charge | up to August 23, 2026: 50% of the fee will be retained | after August 23, 2026: no reimbursement possible. Programme / Schedule The summer school provides a PhD-level introduction to a range of modern topics in time series analysis taught by a selection of top researchers in Europe: Introduction and Overview: Dietmar Bauer (Bielefeld University) and Martin Wagner (University of Klagenfurt) Econometric Modelling of Climate Change: Eric Hillebrand (Aarhus University) Bootstrap: Jens-Peter Kreiß (TU Braunschweig) Structural VAR: Martin Bruns (University of East Anglia) Nonlinear VAR: James Duffy (Oxford University) Bayesian Methods for (Macro and Financial) Time Series Analysis: Gregor Kastner (University of Klagenfurt) Tensor and Network Econometrics: Roberto Casarin (Ca’ Foscari University of Venice) Hidden Markov Models: Roland Langrock (Bielefeld University) Each half-day will be dedicated to one topic in two 90-minute lectures. Presentations will roughly follow a common layout introducing the main theory of the area, potentially providing examples and discussing software avai…
disambiguating description: The Summer School on Modern Topics in Time Series Analysis is held at the University of Klagenfurt from September 7-11, 2026. This program targets PhD students and offers many insights from leading researchers on time series analysis. Enjoy the engaging athmosphere, learn and mingle with fellow PhD students. Connect to your peers as well as the experts providing introductions to modern topics in time series analysis.
date posted: 2026-01-20T12:47:40Z
date modified: 2026-01-21T13:13:07Z
valid through: 2026-05-15T21:59:59Z
start date: 2026-09-07T08:00:00Z
end date: 2026-09-11T21:59:59Z
hiring organization: Alpen-Adria Universität Klagenfurt
job location: Place
  address: PostalAddress
    address locality: Klagenfurt am Wörthersee
    address region: Carinthia
    address country: AT
employment type: onsite
language: en
keywords: time series analysis
keywords: summer school
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Statistics
more info url: https://www.aau.at/en/economics/summer-school-mtsa-2026/

Oxford University Economics Summer School
type: Course
title: Oxford University Economics Summer School
description: Applications for Summer School 2026 are now open! Our Summer School gives you the opportunity to complete advanced economics courses taught by internationally renowned economists, whilst immersing yourself in the unique learning experience Oxford provides. Not only that, but our Summer School stands out from the crowd by allowing you to create your own tailor-made learning experience. When you apply you will have the option to select courses in Applied Microeconomics, Macroeconomics or Econometrics; so you can choose morning and afternoon sessions from two different disciplines, or focus on a single field of interest. This allows you to create a tailored learning experience that ensures you get the most out of your time in Oxford. Webinar: Join our webinar to explore the courses offered in the Summer School 2026. Led by our Academic Director, Professor Banu Demir, this session will provide an overview of the courses and what participants can expect from the programme. Date: Wednesday, 13 May 2026 Time: 12:00pm - 12:30pm (BST) Location: Online (via Zoom) Registration Link Drop-In Q&A Sessions Join one of our free Drop-In Q&A Sessions, in which our team will guide you through how this programme works, the course structures, the admissions process, and what you can expect from the academic and social experience. Join our 30-minute session to get quick answers - no preparation required: Thursday, 26 March 2026 Wednesday, 15 April 2026 Tuesday, 5 May 2026 1:00pm - 1:30pm (GMT) 1:00pm - 1:30pm (BST) 3:00pm - 3:30pm (BST) Register Here Register Here Register Here Course Dates: 7 - 11 September 2026 Fees (Two Courses): Professionals: £2,975 Students and Academics: £1,955 Download the Summer School Brochure here. Don’t miss this opportunity to secure your place at a reduced rate and join an inspiring community of learners from around the world. Please note we can only accept payment for the summer school via MasterCard, Visa credit card, Maestro or Visa debit card. As part o…
disambiguating description: Oxford University's Summer School is accepting applications for 2026, offering courses in various economics disciplines.
date posted: 2025-11-20T10:45:15Z
date modified: 2026-08-28T09:12:04Z
valid through: 2026-08-27T21:59:59Z
start date: 2026-09-07T08:00:00Z
end date: 2026-09-11T21:59:59Z
hiring organization: Department of Economics, University of Oxford
job location: Place
  address: PostalAddress
    address locality: Oxford
    address region: England
    address country: GB
employment type: onsite
language: en
keywords: economics
keywords: Oxford
keywords: summer
type: course
disciplines: microeconomics
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Microeconomics (JEL D)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://ouess.web.ox.ac.uk/september-summer-school

Summer School - Seeing through the algorithms: a summer school on machine learning & AI for economists
type: Course
title: Summer School - Seeing through the algorithms: a summer school on machine learning & AI for economists
description: OVERVIEW Nowadays, Machine Learning (ML) and Artificial Intelligence (AI) are reshaping economic research, policy evaluation, and business decision-making. Yet many economists use these tools as "black boxes," often unaware of their assumptions, limitations, and potential pitfalls. This Summer School, hosted by the UB School of Economics in 2026, offers an accessible yet rigorous introduction to ML and AI specifically designed for economists. Key information Dates: 6 – 10 July, 2026 Lectures: 25 hours (2 ECTS) Location: Barcelona Academic Director: Montserrat Guillen (Universitat de Barcelona, National Research Award 2025) Academic Coordinator: Juan S. Yañez (Universitat de Barcelona) Is this the right course for you? The summer school is designed for advanced graduate students and professionals with a strong interest in machine learning & AI for Economists. It aims to attract: Graduate students from disciplines such as economics, political science, and other social sciences with a quantitative focus. Early-career researchers. Applied Economists. Participants requirements Curiosity and a willingness to engage critically with new tools. Proficiency in English, as all lectures, materials, and discussions will be conducted in English. No prior experience with machine learning is required. Fees and funding Students: 475 euros General: 710 euros* *25% discount on the general fee for early career researchers (within five years of the award of their PhD). The fees cover coffee, a welcome dinner, a farewell cocktail, and materials required for the course. They do not cover lunches, accommodation, transport, or any other services. Payment and Cancellation policy Participants offered a place on the Summer School will receive an email with (i) the admission letter and (ii) the payment instructions. Payment of the tuition fees is required to secure a place once offered. All cancellations must be received in writing and sent in advance by email. Participants wishing to withdraw …
disambiguating description: A summer school on machine learning & AI for economists, hosted by UB School of Economics.
date posted: 2026-04-16T09:39:44Z
date modified: 2026-06-30T01:15:00Z
valid through: 2026-06-29T21:59:59Z
start date: 2026-07-06T08:00:00Z
end date: 2026-07-10T21:59:59Z
hiring organization: UB School of Economics, University of Barcelona
job location: Place
  address: PostalAddress
    address locality: Barcelona
    address region: Catalonia
    address country: ES
employment type: onsite
language: en
keywords: Economics Summer School
keywords: Artificial Intelligence
keywords: University of Barcelona
keywords: AI and Economics
keywords: Machine Learning
keywords: Machine Learning and Economics
type: course
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: economicdevelopmentgrowth
disciplines: generaleconomics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: General Economics (JEL A)
more info url: https://www.ub.edu/school-economics/summer-school/

BSE Summer School 2026: Economics, Finance, Data Science, and related fields
type: Course
title: BSE Summer School 2026: Economics, Finance, Data Science, and related fields
description: You can mix and match courses to fit your training needs and agenda: Banking CREI Macroeconometrics Data Science Development Economics Finance Digital Economy Macroeconometrics Microeconometrics Labor Economics Data Science in Finance Complexity and Emergence in Economic and Social Systems 👉 Explore the complete range of courses offered at BSE Summer School 2026. 🗓️ Take note of our weekly enrollment deadlines, tailored to the start dates of our courses: JUNE 15 Courses starting on June 22 JUNE 22 Courses starting on June 29 JUNE 29 Courses starting on July 6 JULY 6 Courses starting on July 13 Why Choose BSE for Your Skill Enhancement? Research-led teaching will present the latest trends and developments. You will grasp a richer perspective and be equipped with new tools and empirical methods to put them into real-world practice. Engaging in thrilling discussions with like-minded professionals and experts from many backgrounds and countries will bring valuable insights to your own current challenges. Choose from a diverse selection of 48 courses designed for professionals, covering 11 knowledge areas and taught by renowned world-class professors. Experience the vibrant and culturally rich city of Barcelona, consistently ranked among the best in the world. Cumulative discounts to save on course fees: Early Bird, multiple course selection, group discounts, and other fee reductions. Curious about the BSE Summer School vibe? Watch our video for a sneak peek into the unforgettable learning experience that awaits you in Barcelona. 📬 Need More Information? Contact our Admissions Counselor at summerschool@bse.eu to clarify any doubts, discuss your goals, or request a personalized quotation.
disambiguating description: The 19th edition of the BSE Summer School 2026 is open for registration The 19th edition of the Barcelona School of Economics Summer School is approaching fast. Prepare yourself for what promises to be an exciting and valuable experience that goes beyond traditional learning. Discover the power to delve deeper into your areas of interest, acquire a valuable skill set, and fast-track your research or career progress. Seize the chance to apply newfound knowledge directly to your ongoing and upcoming projects! Explore 48 exciting courses in this year’s Summer School edition! — Limited seats available Renowned world-class professors, and experts in their respective fields, guide this educational journey, ensuring a high-quality and impactful learning environment.
date posted: 2025-11-14T13:27:17Z
date modified: 2026-07-14T01:15:00Z
valid through: 2026-06-14T21:59:59Z
start date: 2026-06-22T08:00:00Z
end date: 2026-07-17T21:59:59Z
hiring organization: Barcelona School of Economics
job location: Place
  address: PostalAddress
    address locality: Barcelona
    address region: Catalonia
    address country: ES
employment type: onsite
language: en
keywords: Economics
keywords: microeconometrics
keywords: demographic change
keywords: artificial intelligence
keywords: banking
keywords: Data Science
keywords: Macroeconometrics
keywords: macroeconomics
keywords: inequality
keywords: Development economics
keywords: labor economics
keywords: digital economy
keywords: Econometrics
keywords: finance
type: course
disciplines: othereconomics
disciplines: microeconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: socialscience
disciplines: labordemographiceconomics
disciplines: economicdevelopmentgrowth
disciplines: healtheducationwelfareeconomics
disciplines: datascience
disciplines: economicsystems
disciplines: urbanruraltransportationeconomics
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: financialeconomics
disciplines: laweconomics
disciplines: econometricsstatisticsquantitative
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
disciplines: finance
disciplines: industrialorganization
disciplines: statistics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Microeconomics (JEL D)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics and Social Sciences
discipline labels: Labor and Demographic Economics (JEL J)
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Health, Education, and Welfare (JEL I)
discipline labels: Data Science
discipline labels: Economic Systems (JEL P)
discipline labels: Urban, Rural and Transportation Economics (JEL R)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Financial Economics (JEL G)
discipline labels: Law and Economics (JEL K)
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
discipline labels: Finance
discipline labels: Industrial Organization (JEL L)
discipline labels: Statistics
more info url: https://bse.eu/summer-school

Global School in Empirical Research Methods GSERM at the University of St.Gallen
type: Course
title: Global School in Empirical Research Methods GSERM at the University of St.Gallen
description: We welcome Master, PhD students, Post-Docs and also professionals from all kinds of study fields and industries focusing on qualitative and quantitative methods. You enhance your skills in block seminars taught by world-class faculty amongst an international crowd of participants. At different locations in Europe, we offer courses in quantitative and qualitative research methods. Participants choose one course per week worth 4 ECTS, network with fellow researchers, and enjoy an interesting cultural and social programme. The GSERM Summer School 2026 will take place in the SQUARE, the space for new ways of learning at the University of St.Gallen. You are invited to get more information on our website gserm.org. Summer Session: Course Dates: 04 - 26 June 2026 Early Bird Deadline: 28 February 2026 Final Deadline: 30 April 2026 Autumn Session: Course Dates: 12 – 26 October 2026 Application Deadline: 30 September 2026 Courses are offered from basic up to advanced level. All courses are taught in English. Download GSERM Flyer Master/PhD Students Download GSERM Flyer Post-Docs/Practitioners View the complete course table: Course table - University of St.Gallen – GSERM Sign up to our mailing list to get all the important news for the different GSERM schools. Subscribe now!
disambiguating description: Boost your Analytical Skills. The GSERM Global School in Empirical Research Methods is a high-calibre integrated generic programme on methodology launched by the University of St.Gallen.
date posted: 2019-03-19T12:40:00Z
date modified: 2026-05-01T01:15:00Z
valid through: 2026-04-30T21:59:59Z
start date: 2026-06-04T08:00:00Z
end date: 2026-06-26T21:59:59Z
hiring organization: University of St.Gallen
employment type: onsite
language: en
keywords: Empiric
keywords: summer school
keywords: Qualitative Methods
keywords: Research methodology
keywords: Research Methods
keywords: quantitative methods
keywords: summer program
type: course
disciplines: politics
disciplines: othereconomics
disciplines: education
disciplines: labordemographiceconomics
disciplines: economicdevelopmentgrowth
disciplines: healtheducationwelfareeconomics
disciplines: economicsystems
disciplines: macroeconomicsmonetary
disciplines: psychology
disciplines: laweconomics
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
disciplines: businesseconomics
disciplines: economicthoughtmethodology
disciplines: industrialorganization
disciplines: microeconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: law
disciplines: socialscience
disciplines: business
disciplines: urbanruraltransportationeconomics
disciplines: economichistory
disciplines: marketing
disciplines: economics
disciplines: financialeconomics
disciplines: management
disciplines: econometricsstatisticsquantitative
disciplines: finance
disciplines: statistics
discipline labels: Politics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Education
discipline labels: Labor and Demographic Economics (JEL J)
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Health, Education, and Welfare (JEL I)
discipline labels: Economic Systems (JEL P)
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Psychology
discipline labels: Law and Economics (JEL K)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
discipline labels: Business Economics (JEL M)
discipline labels: Economic Thought & Methodology (JEL B)
discipline labels: Industrial Organization (JEL L)
discipline labels: Microeconomics (JEL D)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Law
discipline labels: Economics and Social Sciences
discipline labels: Business
discipline labels: Urban, Rural and Transportation Economics (JEL R)
discipline labels: Economic History (JEL N)
discipline labels: Marketing
discipline labels: Economics
discipline labels: Financial Economics (JEL G)
discipline labels: Management
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Finance
discipline labels: Statistics

Tinbergen Institute Summer School
type: Course
title: Tinbergen Institute Summer School
description: Summer Courses (A-Z) Applied Public Policy Evaluation Deep Learning Development Economics Economics of Blockchain and Digital Currencies Economics of Climate Change The Economics of Crime Foundations of Machine Learning with Applications in Python From Preference to Choice: The Economic Theory of Decision-Making Inequalities in Health and Healthcare Marketing Research with Purpose Markets with Frictions Modern Toolbox for Spatial and Functional Data Sustainable Finance Explore courses (click) Apply Now! Apply for your favorite course: Tinbergen Institute and Business Data Science Summer School 2026 Faculty Taught by Tinbergen Institute's faculty and visiting experts, our summer school program offers a challenging and rewarding academic experience. Overview Target Group: The courses are open to (research) Master's students, PhD candidates, postdoctoral researchers, and professionals ECTS: 3 (students must register credits at their home university) Teaching Language: English Location: Tinbergen Institute Amsterdam, Roeterseiland campus. Only course Inequalities in Health and Healthcare will be online. We hope to see you this summer! Landing page View all the courses. Receive updates and reminders by signing up for our mailing list. From time to time, we will contact you about our summer school programs. Participants who meet the credit requirements will receive a certificate of participation stating that the summer school is equivalent to a workload of 3 ECTS. Note that it is the student’s own responsibility to get these credits registered at their university. About Tinbergen Institute Tinbergen Institute (TI) is the Graduate School and Research Institute for Economics and Business operated jointly by the Schools of Economics and Econometrics of Erasmus University Rotterdam (EUR), University of Amsterdam (UvA) and Vrije Universiteit Amsterdam (VU). The Tinbergen Institute offers two selective research Master’s programs: one in Economics and another in Business Data Sc…
disambiguating description: Applications Are Open Tinbergen Institute Summer School 2026 invite you to apply to our summer courses in 13 different topics. How to Apply and Deadline Learn everything about applications and deadlines on Summer School - tinbergen.nl. About The Tinbergen Institute Summer School 2026 offers a diverse selection of courses in Economics and Business Data Science running from June through August. These programs are designed for students seeking a challenging and academically rigorous experience. With small class sizes, participants can engage directly with lecturers and thoroughly explore their chosen fields. All courses are entirely in English. While each course targets a specific audience, they are generally open to (research) Master's students, PhD candidates, postdoctoral researchers, and professionals.
date posted: 2024-01-19T12:19:02Z
date modified: 2026-08-29T01:15:00Z
valid through: 2026-08-10T21:59:59Z
start date: 2026-06-29T08:00:00Z
end date: 2026-08-28T21:59:59Z
hiring organization: Tinbergen Institute (TI)
job location: Place
  address: PostalAddress
    address locality: Amsterdam
    address region: North Holland
    address country: NL
employment type: onsite
language: en
keywords: microeconomics
keywords: python
keywords: development
keywords: decision theory
keywords: environmental
keywords: gender
keywords: business
keywords: data science methods
keywords: #AI
keywords: machine learning
keywords: social science
keywords: healthcare
keywords: sustainable finance
keywords: macroeconomics
keywords: econometrics
keywords: computer science
keywords: crime
keywords: applied economics
keywords: #finance
keywords: gender economics
keywords: Artificial intelligence
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: finance
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Finance
funding options: No
more info url: https://tinbergen.nl/summer-school/

Place
address: PostalAddress
  address locality: Sankt Gallen
  address region: Saint Gallen
  address country: CH