CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
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 modelling work, especially if they are interested in working with models that are either computationally expensive to simulate, nonlinear, or infinite dimensional thanks to heterogeneous agents, monetary policy, or optimal taxation and inequality. 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. Please note that all participants need to have their own copy of Matlab (https://www.mathworks.com/products/matlab.html) for the course on Advanced Macro Modelling. There is a short-term license available for students which is worth checking: https://www.mathworks.com/campaigns/products/trials.html Online delivery method: The course will be conducted using the Microsoft Teams platform. The university and the lecturers are used to do online teaching and have state-of-the-art systems to do so and are able to deliver highly interactive experiences. Though we will do our best to record all sessions, we are expecting participants to attend them live to enable interactions between participants and lectures. Any and all questions are welcome. There will be opportunities to discuss the projects and research ideas of the participants. This will occur both informally as well as formally during the lecture or break time. After the summer school, lecturers will be available to answer questions and discuss the projects of the participants. Participants will be sent computer codes, lecture notes, and slides ahead of time. Participants will also receive direct assistance before the summer school starts in order to set up all the systems ahead of the online events. The summer school covers the theoretical aspects of the techniques. In addition, the summer school is very hands-on and participants will have carefully implemented exercises where they need to modify parts of the codes. This will be done in the lectures, both in groups and with the help of the instructors. The participants will receive solutions to all exercises and will be provided with computer codes that may then use in their own research..
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.
Macroeconomics and Monetary Economics (JEL E)
Econometrics, Statistics and Quantitative Methods (JEL C)
Oxford University Economics Summer School
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 of your application, you are required to pay an application deposit, which will be deducted from the course payment in case of a successful application. Course and Tutor Information MORNING COURSES<o:p></o:p> <o:p></o:p> Lecture:<o:p></o:p> 09:00 - 11:00<o:p></o:p> <o:p></o:p> Tutorial:<o:p></o:p> 11:30 - 13:00<o:p></o:p> Applied Monetary Economics<o:p></o:p> <o:p></o:p> Professors:<o:p></o:p> Michael McMahon & Silvia Miranda-Agrippino<o:p></o:p> <o:p></o:p> Behavioural Macroeconomics<o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Alexandre Kohlhas<o:p></o:p> <o:p></o:p> <o:p></o:p> <o:p></o:p> Treatment Effects: Beyond The Basics<o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Romuald Méango<o:p></o:p> <o:p></o:p> <o:p></o:p> <o:p></o:p> Development Economics <o:p></o:p> <o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Stefano Caria<o:p></o:p> <o:p></o:p> <o:p></o:p> <o:p></o:p> AFTERNOON COURSES<o:p></o:p> <o:p></o:p> Lecture:<o:p></o:p> 14:00 - 16:00<o:p></o:p> <o:p></o:p> Tutorial:<o:p></o:p> 16:30 - 18:00 International Macroeconomics<o:p></o:p> <o:p></o:p> Professors:<o:p></o:p> Sergio De Ferra & Federica Romei<o:p></o:p> <o:p></o:p> <o:p></o:p> Financial Econometrics<o:p></o:p> <o:p></o:p> <o:p></o:p> Senior Fellow:<o:p></o:p> Cavit Pakel &<o:p></o:p> Professor:<o:p></o:p> Kevin Sheppard<o:p></o:p> <o:p></o:p> Machine Learning<o:p></o:p> <o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Maximilian Kasy<o:p></o:p> <o:p></o:p> <o:p></o:p> Economics of the Digital and AI Economy<o:p></o:p> <o:p></o:p> Professors:<o:p></o:p> Alexei Parakhonyak &<o:p></o:p> Greg Taylor<o:p></o:p> <o:p></o:p> <o:p></o:p> Apply for the Summer School Now Testimonials “I was a little apprehensive before I came, but these turned out to be the most accessible lectures I’ve ever had in economics. The small class sizes make it easy to speak up and ask questions, and everyone brings a different background and set of strengths.” Laura Bell, Bank of England “A few days on, I’m still reflecting on the incredible week I spent at the Oxford University Economics Summer School. The balance of theory and practical tools sparked new ways of thinking about research and its real-world applications. The faculty, the discussions, and the atmosphere all combined to make it a uniquely engaging and insightful experience that continues to influence my work.” Aditya Bysack, economist “It was a truly intensive and inspiring week that has already given me so many ideas for further research. The lectures, tutorials, and discussions were superbly organised, and the advice and encouragement from faculty have stayed with me long after I returned home.” Marta Czarnecka-Gallas, researcher “It was a pleasure to be back in a university setting, building on concepts from my undergraduate studies and learning new techniques to model, explore, and solve problems. Discussing the policy challenges behind the digital economy made the experience especially engaging and relevant.” Harriet Makin, economist “The experience far exceeded my expectations. It was an honour to learn from distinguished Oxford professors and to apply advanced concepts in seminars using practical tools. Each session broadened my understanding of modern economic research.” Timur Kayaalp, PhD researcher “Over one intensive week I gained new insights, exchanged ideas, and reflected on my research in a broader, international context.” Nils Dellnitz, Doctoral researcher
Oxford University's Summer School is accepting applications for 2026, offering courses in various economics disciplines.
Department of Economics, University of Oxford
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 closely follows standard matrix algebra. The fundamental strength of GAMS lies in the ease with which mathematically defined models can be formulated and solved. The explicit algebraic formulation of general equilibrium conditions and the parameterization of functional forms to characterize technologies and preferences can become very tedious and error-prone, in particular for more complex production and consumption patterns. MPSGE (Mathematical Programming System for General Equilibrium) – which runs as a subsystem under GAMS – provides a short-hand non-algebraic representation for general equilibrium models, releasing economists from the need to write down complicated equilibrium conditions explicitly as well as from the need to set up tedious calibration routines for the parameterization of demand and supply functions. The workshop will show in detail how to transform algebraic CGE models into non-algebraic MPSGE syntax, which can substantially lower the entry barriers and time cost of CGE analysis. Material and teaching is in English. Explore our website for more details! Content: Part 1: Economic Equilibrium, Mixed Complementarity and Mathematical Programming Economic equilibrium in mixed complementarity format Mathematical programs: duality and complementarity Part 2: Bottom-up activity analysis of the electricity system Stylized models of electricity supply and emissions regulations Optimal electricity dispatch under CO2 emissions pricing Part 3: Integration of bottom-up electricity market models into top-down CGE models Standard CGE representation of an energy-economy system Model calibration to observed economic data (functional forms) A hybrid bottom-up/top-down model for climate policy analysis Part 4: MPSGE implementation of CGE models MPSGE syntax Converting CGE models from algebraic MCP formulations into MPSGE From static to dynamic policy analysis Part 5: CGE-based impact assessment of net-zero emissions policies Multi-sector multi-region (baseline) projections until 2050 Build your own large-scale bottom-up/top-down CGE model calibrated to baseline data CGE analysis: the role of carbon backstop and negative emissions technologies for reaching net-zero emissions Instructors: Christoph Böhringer (University of Oldenburg, Germany) Volker Clausen (University of Duisburg-Essen, Germany) Payment: The fee for participating in the training workshop is 2,500 Euro and includes lectures, course material and lunches. Academic participants from accredited universities or research institutions will be admitted on a space-available basis for a discount of 20%. Graduate students from accredited academic institutions are likewise admitted on a space-available basis for a discount of 40%. Please fax or email a copy of your student ID to get the discount. There will be a limited number of scholarships (excluding travel and subsistence expenses) that have been set aside for qualified participants from developing countries. Deadline for the application for a scholarship is June 12, 2026. Preference will be given to applicants who have documented previous experience in general equilibrium modelling with GAMS. To apply for a scholarship in the form of a tuition waiver, send your CV and a research paper via email to the course coordinator Mehmet Burak Akren. A decision on the allocation of scholarships will be made until June 19, 2026, in order to allow for an early arrangement of flights, visa etc. Registration: The registration deadline is September 11, 2026. The maximum number of participants is restricted to 16! Slots are guaranteed only upon full payment of fees through the course coordinator. Cancellations will be fully refunded if made prior to September 11, 2026. No refunds will be made after the registration deadline. For registration or any inquiries, please contact the course coordinator: M. A. Mehmet Burak Akren, email: Mehmet.Akren@vwl.uni-due.de . University of Duisburg-Essen, Department of Economics, 45117 Essen, Germany
20th Ruhr Graduate Summer School: Economic Analysis of Net-Zero Emissions Policies Using GAMS and MPSGE
Ruhr Graduate School in Economics (RGS Econ)
Agricultural and Environmental Economics (JEL Q)
DAISY Summer School 2026: Data Analytics for Innovation and Sustainability
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 PhD students, postdocs, and young researchers willing to attend the summer school can apply by submitting: A short CV A motivation letter for participating in the summer school A research proposal (maximum 5 pages) or a full paper to present during the student presentation sessions READY TO APPLY? CLICK HERE KEY DEADLINES Deadline for application: 15 June, 2026 Notification of acceptance: 30 June, 2026 Registration and accommodation fee payment: 13 July, 2026 PARTICIPATION FEE Summer school fees for participants (650 euros) include the registration to the summer school (access to all summer school lectures and presentations, 9 breaks, 5 lunches, 2 summer school dinners), and hotel accommodation at the Tenuta del Barco (twin rooms accommodation, i.e., 2 participants per room, with breakfast included, 4 nights, arrival on Monday, departure on Friday).
An international summer school designed for PhD students and early-career researchers focused on data analytics in innovation and sustainability.
Economic Development, Innovation and Growth (JEL O)
4th CINCH-dggö Academy We are proud to launch the fourth edition of the CINCH-dggö Academy in Health Economics focusing this year on the “Causal methods in policy analysis” and “economics of health insurance”. The summer school is jointly organised by CINCH, the national research centre for health economics at the University of Duisburg-Essen, and the dggö, the German Society for Health Economics. The summer school will bring together a group of junior and senior researchers to share a week of expert lectures, research presentations, and special sessions. Expert lectures will be given by Andrew Goodman Bacon (Federal Reserve of Minneapolis) on causal policy analysis and on the economics of health insurance by Professor Sayeh Nikpay (University of Minneapolis). Special sessions include a “Meet the Editor” session with Tatyana Deryugina, editor-in-chief at American Economic Review: Insights and Professor of Finance at University of Illinois at Urbana-Champaign, and special sessions on academic publishing, the academic job market, and speed networking with senior researchers. Each day will conclude with an attractive social and cultural program. Target audience: PhD students and early career postdocs working on health economics and closely related topics. Only 21 students will be admitted. Seniors speakers for special sessions: Pietro Biroli (University of Bologna), Daniel Kühnle (University Duisburg-Essen), Analisa Packham (Vanderbuilt University), Martin Salm (Tilburg University), Reyn van Ewijk (University of Mainz). Registration fees: EUR 350. Fees cover lunches and dinners, and the social program. Application: We accept all empirical papers broadly related to health economics. To apply, send your CV and a full paper to cinch.academy@wiwinf.uni-due.de. We strongly encourage female students and students from disadvantaged backgrounds to apply. Local organiser: Contact Daniel Kühnle, University of Duisburg-Essen, if you have any questions! We look forward to your submissions! Submission deadline: 29 May 2026 Notification of Acceptance: 10 June, 2026.
We are proud to launch the fourth edition of the CINCH-dggö Academy in Health Economics focusing this year on the 'Causal methods in policy analysis' and 'economics of health insurance'.
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 Science, both of which are directly connected to PhD opportunities. Admissions are open for both programs for the 2026–2028 academic cycle.
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.
TWENTY-FIFTH SUMMER SCHOOL IN INTERNATIONAL AND DEVELOPMENT ECONOMICS
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.
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.
Centro Studi Luca d'Agliano, University of Milan
Summer School on Bayesian Methods for Experimental Economics
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%40um6p.ma%7C418b3664cb4d4fdbd46508de63fa422b%7C39626157a047468987a26fa645cb5cb7%7C1%7C0%7C639058123662288797%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=j4DyPAkcoyMLykSS0WuOZ6rxFf5nnB7l6rh2gcRrOUE%3D&reserved=0" target="_blank">https://www.parisschoolofeconomics.eu/en/summer-school/experimental-economics/ If you think these summer schools could be relevant to students or colleagues in your network, please feel free to share this announcement. We will be delighted to welcome you on the beautiful campus of UM6P Rabat in June!
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.
Summer School on Modern Topics in Time Series Analysis 2026
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 available and finally indicating relevant questions at the research frontier. Schedule The summer school will start on Monday, September 7, 2026 at 9:00 (registration at 8:30) and will close on Friday, September 11, 2026 in the early afternoon. Details will be communicated directly to the participants. Application PhD students provide: - A motivation letter including the subject of their PhD thesis and name of their supervisor - An up-to-date CV listing all time series and statistics-related courses taken so far - Proof of enrolment in PhD studies Others: - A motivation letter - An up-to-date CV listing all time series analysis-related experience Please pack all documents into a single PDF file (size limit 5MB). Applications are to be sent to QED [at] aau [dot] at. Practical Information The conference fee covers social events, accommodation and transport. Some impressions from MTSA 2022 and 2024 include positive feedback about the balance between lectures and breaks, networking opportunities, and impactful presentations by instructors. Contact Information University of Klagenfurt Universitätsstraße 65-67 9020 Klagenfurt am Wörthersee, Austria +43 463 2700 4102 www.aau.at
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.
Summer School - Seeing through the algorithms: a summer school on machine learning & AI for economists
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 from the Summer School will have their tuition fees partially refunded according to the following policy: Prior to 15 days before the beginning of the course: full refund of the registration fee, less €100 of administrative costs. The University of Barcelona reserves the right to cancel the Summer School if the minimum number of required students is not reached. Ready to apply? Applications are open until all available places are filled. Supporting documents required: ID and CV. Applicants will receive the admission decision by email within three weeks of submitting their application. To secure a place in the programme, admitted participants must complete the payment by the deadline indicated in the admission notification. Excellence The University of Barcelona stands among the leading universities worldwide, consistently achieving top positions in major international rankings for teaching, research, knowledge transfer, and internationalisation. You can explore detailed subject rankings in economics and the social sciences. The UB School of Economics is listed in the top 10% of economics departments worldwide (RePEc/IDEAs).
A summer school on machine learning & AI for economists, hosted by UB School of Economics.
UB School of Economics, University of Barcelona
BSE Summer School 2026: Economics, Finance, Data Science, and related fields
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.
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.
Public Economics & Economic Policy (JEL H)
Urban, Rural and Transportation Economics (JEL R)
Global School in Empirical Research Methods GSERM at the University of St.Gallen
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!
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.