Research Associate in Health Economics or Medical Statistics
About the role You will join the Leicester Real World Evidence Unit, based within the Leicester Diabetes Centre in the Division of Public Health and Epidemiology, to support a programme of research funded by the NIHR Applied Research Collaboration East Midlands. The role focuses on the design, delivery and quality assurance of applied health research, with particular emphasis on evidence synthesis, cost-effectiveness evaluation and the use of large routinely collected datasets in areas including diabetes and cardiovascular disease. You will work with a large multidisciplinary team of statisticians and epidemiologists while independently managing your own research workload and objectives. The postholder will lead and contribute to systematic reviews, health economic analyses and collaborative research projects, ensuring delivery against key milestones and the production of high-quality research outputs suitable for publication and dissemination at national and international conferences. You will contribute to grant and fellowship applications, support impact and knowledge exchange activities, and engage in professional development, mentoring and, where appropriate, the supervision of doctoral researchers. The University of Leicester is a research‑intensive institution committed to world‑changing research, inclusivity and academic freedom, and the role is situated within an environment that values open debate and diverse perspectives within the law. About you You will have a postgraduate qualification in health economics or medical statistics and a PhD or equivalent professional research experience in a relevant discipline, alongside a strong record of research productivity through high‑quality publications and presentations. You will bring experience of working with datasets in applied health research, excellent knowledge of statistical programming and data management using tools such as Stata or R, and a proven ability to deliver research to agreed deadlines. Experience in the design and conduct of systematic reviews is desirable. You will demonstrate excellent analytical, organisational and communication skills, with the ability to work both independently and collaboratively within a research team. You will be committed to conducting research that delivers impact, to sharing expertise through engagement activities, and to contributing positively to the University community. In line with the University of Leicester’s values, you will support an inclusive and respectful working environment and uphold the principles of academic freedom and freedom of speech within the law throughout your work. Additional information Informal enquiries are welcome and can be made to Dr Clare Gillies at clg13@leicester.ac.uk. As part of the University’s ongoing commitment to professional development, this role will also be considered on a seconded basis for existing staff members. Please ensure this is discussed with your line manager prior to applying. More information regarding secondments can be found here. The University of Leicester has been changing the world, and changing people’s lives, for 100 years. When you join us, you’ll become part of a community of Citizens of Change, which includes not only our staff and our current students but also thousands of Leicester graduates around the world. As a diverse and forward-thinking employer, we embed the principles of equity, diversity and inclusion into everything we do. That includes not just our core missions of teaching and research, but also our support for staff, students and our local community through our values of Inspiring, Impactful and Inclusive. We’re committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment.
Vacancy ID: 13345 Location: Leicester Vacancy terms: Full time fixed term contract for 2 years Salary details: Grade 7 - £39,906 to £46,049 per annum Hours per week: 37.5 Advert closes midnight on: 15 Jun 2026
6 fully-funded PhD positions in Economics, Analytics and Decision Sciences (EADS) at the IMT School for Advanced Studies
The EADS Program trains international PhD students to undertake cutting-edge research in a wide range of economic and social disciplines with a unique multidisciplinary approach that relies on the unifying language of statistics and data science, as well as on selected tools from computer science and psychology. EADS students also have the opportunity to complete their research projects under joint supervision (double-degree) with partner universities, including KU Leuven (Belgium) and the University of Alicante (Spain). All students are encouraged to spend visiting research periods at international organizations, both within the Erasmus+ framework and through ad hoc mobility agreements. EADS in a nutshell ● Contract Type: Scholarship up to 48 months ● Commitment: Full time ● Location: Lucca (Tuscany, Italy) ● Official language: English ● Starting date: November 1, 2026 Your Role ● First year: Follow courses in your tailor-made scientific training program ● Second and third year: Engage in your own research (both at Lucca and abroad) under the guidance of at least one Advisor from the Faculty ● Develop three or more research papers for your doctoral thesis ● Participate in the daily academic and campus life, including seminars, conferences, workshops attendance, public outreach activities etc. Qualifications ● Master’s Degree or equivalent, possibly in Economics, Management, Statistics, Law, Physics, Computer Science, Engineering, Logic and Philosophy of Science, Mathematics, Cognitive and Behavioral Sciences, or in contiguous areas (to be obtained by October 31st, 2026) ● Excellent communication skills in English ● Demonstrated solid quantitative skills comparable with those acquired in economics degrees ● Enthusiasm for research, critical thinking, and interest in policy-relevant issues We offer · An exciting multidisciplinary and international research environment with ample opportunities to exchange with scholars from related disciplines at international Universities · Work under the supervision of at least one Advisor from the faculty · Work in a team with several other doctoral candidates, postdoc researchers and faculty · A tailor-made scientific training program with a wide range of courses, lectures and seminars by leading researchers · Mentoring, training and career development support · A highly competitive full-time PhD Position with o a scholarship for a maximum period of 4 consecutive years o social security coverage o free accommodation on the sustainable and accessible campus (all year round) o free meals on campus (lunch and dinner, all year round) o additional research funds o additional international mobility funds o insurance coverages (liability, accident) o no tuition fees EFC Project Scuola IMT Alti Studi Lucca is a member of the EFC - Educating Future Citizens network, which includes eight Scuole Universitarie Superiori in Italy. IMT PhD students have the opportunity to participate in joint activities and are encouraged to engage with partner institutions to foster academic and research collaborations. How to apply You are welcome to submit your application through the online application system at the following link (registration required): https://pica.cineca.it/imtlucca/imtlucca-phd-eads-2026/ Students graduating by 31st October 2026 are also welcome to apply. Deadline for applications: June 3, 2026 at 1:00 pm (CEST time) Application Schedule · Interview of short-listed candidates: June 22, 2026 · Notification of admission: the end of July 2026 More information For more information, please see https://eads.imtlucca.it/ and get in touch with phdapplications@imtlucca.it
The IMT School for Advanced Studies Lucca is now recruiting 6 fully funded doctoral candidates in its Economics, Analytics and Decision Sciences (EADS) PhD Program.
Econometrics, Statistics and Quantitative Methods (JEL C)
PhD in Economics - University of Pavia & University of Milan - Admission to the 2026/2027 Academic Year (Cycle 42)
The Doctorate in Economics at the University of Pavia and the University of Milan is a four-year, fully funded Study and Research programme, designed for students aiming for academic or professional careers in economics. No tuition fees Fully funded Extra funding for research visits abroad Access to spaces, software (Stata, Matlab,…), and a massive and fast server (Indaco). Both Departments at the University of Pavia and the University of Milan have been awarded the Department of Excellence recognition by the Italian Ministry for the outstanding quality of their research. Funding & Scholarships available: This year, we are offering 5 fully-funded scholarships: 4 general PhD grants 1 specific grant funded by the Istituto Superiore di Sanità (ISS) on the research topic: "Use of Statistical–Econometric Models for the Analysis of Population Health Data and Registry Data" Key Dates: • Application deadline: June 30, 2026 • Interviews (online): July 17, 2026 • Results announced: shortly after the interviews, by July 21 • Programme starts: October 1, 2026 Discover more about our program here: https://economiaemanagement.dip.unipv.it/it/phd-economics Find all the information to apply here: https://economiaemanagement.dip.unipv.it/it/phd-economics/admission
The Call for the University of Pavia & University of Milan Doctoral Programme in Economics is open. Deadline to apply: June 30, 2026
Economist Meghan Quinn appointed as New Defence Secretary in Australia
Australian Prime Minister Anthony Albanese has announced the forthcoming appointment of Meghan Quinn as the new Secretary of the Department of Defence, marking a significant milestone in Australian governmental history. This appointment makes Ms. Quinn the first woman to substantively lead the department, working under the elected Minister for Defence, Richard Marles. Ms. Quinn comes with an impressive background, currently serving as the Secretary of the Department of Industry, Science and Resources. Over her career, she has been involved in advising the government on various Australian and international policy matters and has held prominent roles at the Department of the Treasury. She was also the head of the Secretariat for the ‘Australia in the Asian Century White Paper’ at the Department of the Prime Minister and Cabinet. Notably, Ms. Quinn's contributions to public service were recognized in 2009 when she received the Public Service Medal for her exceptional work on climate change policy. Her new role as Secretary of the Department of Defence will commence on May 18, 2026, with a term lasting five years. Prime Minister Albanese extended his gratitude to the outgoing Secretary, Greg Moriarty, who will transition to the role of Australian Ambassador to the United States. Albanese also acknowledged Cath Patterson for her service as acting Secretary during this transition period. The appointment was also welcomed by the Australian Minister for Defence, Richard Marles, who stated that Ms Quinn’s experience in public administration and strategic leadership means she will be well placed to lead Defence into the future. This appointment is likely to be seen as a progressive step for gender representation in leadership roles within the Australian government. Image Credits: Australian Government - Department of Industry, Science and Resources
Australia announces the appointment of Meghan Quinn as the first female Secretary of the Department of Defence, starting on May 18, 2026.
The GSEFM Ph.D. Program in Finance consists of two years of doctoral coursework with a qualifying examination at the end of the first year. Core courses in financial economics, econometrics, and mathematical methods (first year) and two to three elective courses (second year) ensure that students acquire a thorough knowledge of the theory of Finance before beginning their own research. SAFE ­offers funding each year for the entire program to three excellent applicants for the Ph.D. Program in Finance as well as to those for the Program in Economics who pursue Finance as one field in their studies. The funding includes a grant of monthly €1,300 in the first year and an ensuing work contracts as research assistants, conditional on passing the preliminary exams. SAFE aims to increase the proportion of female scholars among its research staff and will therefore give preference to female applicants in case of equal qualification. Learn more about a Ph.D. in Finance at GSEFM in Frankfurt combined with funding from SAFE at https://safe-frankfurt.de/about-safe/career/phd-in-finance.html
Graduate School of Economics, Finance, and Management (GSEFM) at Goethe University Frankfurt in cooperation with the Leibniz Institute for Financial Research SAFE The GSEFM graduate program offers a quantitative and research-oriented education featuring the structure of premier anglo-saxon graduate programs. Together with the Leibniz Institute for Financial Research SAFE, it provides an environment where students can benefit from a unique research group in Finance spanning a wide range of topics, such as banking regulation, systemic risk, asset pricing, corporate, household, behavioral, and macro finance, data science, and financial law. Students and faculty benefit from the location in Frankfurt, the primary center for financial markets and central banking in continental Europe. The program does not charge tuition fees.
Leibniz Institute for Financial Research SAFE
Economist Christopher Phelan Nominated by Trump for CEA Chair
If confirmed by the senate, Phelan will succeed Stephen Miran, who left the position last September to join the Federal Reserve Board of Governors. Currently, Pierre Yared, the council's vice chairman, has been acting as interim leader of the CEA during the transition period. Phelan's extensive background in economics, particularly his expertise in central bank operations, is expected to complement Trump's commitment to shaping economic policies focused on lower interest rates. Phelan holds an undergraduate degree from Duke University and a doctorate from the University of Chicago. He is also a Fellow of the Econometric Society. His previous associations with the Federal Reserve Bank of Minneapolis, first as an economist and later as a consultant, position him as a strategic asset to Trump's economic agenda. This nomination highlights Trump's ongoing efforts to reinforce his economic team at a time when discussions surrounding monetary policy are increasingly prominent. Confirmation from the Senate is still pending to finalize Phelan's appointment. In a press release, the University of Minnesota congratulated Phelan on his nomination. Image Credit: University of Minnesota Economics Department (umn.edu)
Economist Christopher Phelan has been nominated by President Trump to lead the White House Council of Economic Advisers, as part of efforts to strengthen his economic team amidst calls for lower interest rates.
Public Economics & Economic Policy (JEL H)
Description: The Center for Private Tutoring Policies at the Chung-Ang University Economic Research Institute invites applications for a full-time Postdoctoral Associate position funded by the Korea Research Foundation. We seek candidates with strong training in empirical methods, particularly in labor or public economics, although applicants from all fields of economics are encouraged to apply. The Postdoctoral Associate will collaborate on ongoing empirical research projects with Professors Changhui Kang, Sun Go, and Hoon Choi, and will also contribute to related administrative tasks. The position provides substantial time for independent research and is particularly suitable for recent Ph.D. recipients seeking a research-oriented appointment. There is no teaching requirement; however, optional teaching opportunities may be available with additional compensation. Duration and Compensation: The initial appointment is for one year, beginning in September 2026 or earlier, with the possibility of annual renewal through August 2029. The annual salary is 42 million KRW (inclusive of taxes, social insurance contributions, and retirement benefits). Qualifications: Applicants must have completed a Ph.D. in economics or a closely related field by the start date. While the Center’s primary research areas include labor economics, public economics, and econometrics, candidates from all areas of economics are welcome. Proficiency in Korean is required. Application Requirements: Cover letter Curriculum vitae Job market paper Research statement Academic transcripts Three letters of recommendation Application Deadline: Review of applications will begin immediately and continue on a rolling basis until the position is filled. Additional Information: Shortlisted candidates will be invited for online interviews. Contact Information: For inquiries, please contact: Wonho Song via the CAU CEPT Webpage: https://cept.cau.ac.kr/
Chung-Ang University invites applications for a Postdoctoral Associate position in Economics, specializing in Labor and Public Economics.
Job Posting Closing Times: Job postings are removed from advertising at 12:00 A.M. on the closing date e.g., at midnight on the day before the closing date. Austin Community College employees are required to maintain a domicile in the State of Texas while working for the college and throughout the duration of employment. - AR 4.0300.01 Austin Community College is a public two-year institution that serves a multicultural population of approximately 41,000 credit students each Fall and Spring semester. We embrace our identity as a community college, as reflected in our mission statement. We promote student success and community development by providing affordable access, through traditional and distance learning modes, to higher education and workforce training, including appropriate applied baccalaureate degrees, in our service area. As a community college committed to our mission, we seek to recruit and retain a workforce that: Values intellectual curiosity and innovative teaching. Is attracted by the college's mission to promote equitable access to educational opportunities. Cares about student success and collaborates on strategies to facilitate success for populations including; first generation college students, low-income students, and students from underserved communities. Focused on student academic achievement and postgraduate outcomes. Welcomes difference and models respectful interaction with others. Engages with the community both within and outside of ACC. Job Posting Title: Adjunct Faculty, Economics Job Description Summary: The Economics program offers on-campus, online, and dual credit student success courses across Central Texas. Applicants should be willing to teach on ACC campuses and dual credit classes on high school campuses. The Economics program offers two courses: Microeconomics and Macroeconomics. Job Description: Principal Responsibilities and Duties Prepare and teach courses in the field of Economics to a multicultural student population based on the department's approved course learning outcomes, utilizing a variety of instructional strategies appropriate to the needs of community college students and the standards of the discipline. Evaluate student progress and provide clear, timely feedback reflecting program learning outcomes and departmental expectations. Provide teaching and mentoring services to students in a manner which does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, political affiliation, or other protected categories. Remain current in the field through a variety of professional development activities. Perform other related tasks as assigned by the department chair, dean, and/or associate vice president, vice president, executive vice president. Technology Demonstrated proficiency using computer applications, online resources, and other technologies for the classroom. Demonstrated proficiency using an online learning management system such as Blackboard Ultra to develop and build course content and perform administrative duties (posting office hours, syllabi, etc.) Principal Professional Standards Meet deadlines for attendance certification and submission of final course grades. Maintain regular office hours to assist students and improve student retention and success. Recognize and reflect standards of civility and collegiality in all interactions. Comply with published college policies and procedures and meet professional standards for teaching in a community college. Appropriate use of the college's learning management system. Required Education Educational requirements in accordance with SACSCOC accreditation standards. See Faculty Credentials at www.austincc.edu/facstaff/faculty-credentials. No substitution for educational requirements. Minimum educational requirements include at least 18 graduate credit hours in ECONOMICS and a master's degree. Please note: An MBA without graduate-level Economics coursework does not meet the minimum credentialing requirements under college and SACSCOC accreditation guidelines. Other Requirements Ability to travel to different ACC campuses and area high schools. All ACC employees must reside in Texas for the duration of their employment with the college. Qualities of a Successful Candidate Successful candidates demonstrate a deep understanding of core economics theories, methods, and applications. Successful candidates demonstrate use of culturally relevant pedagogical approaches. Application Requirements Upload the following documents to your application: Unofficial/copy of transcripts Updated Curriculum Vitae (C.V.) or Resume Cover letter - explaining interest in the position Request official electronic transcripts to be sent directly from the institution to hrtranscripts@austincc.edu. This email address must be entered as the recipient. Please do not select "Austin Community College" from a menu. It will not be received by ACC Human Resources. If you need assistance, please contact your university's registrar's office. If official electronic transcripts are not an option, a hardcopy can be mailed to the following address: ACC Human Resources Attn: Prisca M. Baker 6101 Highland Campus Dr., Bldg 3000, Suite 3.2224 Austin, TX 78752 Photocopies of transcripts or transcripts stamped "issued to student" are not accepted. Working Conditions Work is routinely performed in an office/classroom environment. Subject to standing, walking, sitting, bending, reaching, kneeling, pushing, and pulling. Ability to lift up to 10 pounds. Work safely and follow safety rules. Report unsafe working conditions and behavior. Take reasonable and prudent actions to prevent others from engaging in unsafe practices. Number of Openings: 4 Job Posting Close Date: August 31, 2026 Clery Act As required by the US Department of Education, employees are required to report violations under Title IX and, under the Jeanne Clery Campus Safety Act (Clery Act), select individuals are required to report crimes. If this position is identified as a Campus Security Authority (Clery Act), you will be notified, trained, and provided resources for reporting. Austin Community College produces an Annual Security Report as required by the Clery Act. This report includes statistics from the previous three years concerning reported crime that occurred on campus; public property adjacent to and accessible from campus; and in certain non-campus buildings/property owned or controlled by ACC. The report includes institutional policies concerning campus security and other safety information. For direct access to the current Annual Security Report, visit www.austincc.edu/asr. You may obtain a hard copy by contacting the Clery Compliance Officer (CleryComplianceOfficer@austincc.edu). For an overview, see ACC's Clery Act website. Disclaimer The above description is an overview of the job. It is not intended to be an all-inclusive list of duties and responsibilities of the job, nor is it an all-inclusive list of the skills and abilities required to do the job. Duties and responsibilities may change with business needs. ACC reserves the right to add, change, amend, or delete portions of this job description at any time, with or without notice. Employees may be required to perform other duties as requested, directed, or assigned. In addition, reasonable accommodations may be made by ACC at its discretion to enable individuals with disabilities to perform essential functions of the job. To apply, please visit: https://austincc.wd1.myworkdayjobs.com/en-US/External/job/Austin-Community-College/Adjunct-Faculty--Economics_R-7917
Austin Community College is seeking an Adjunct Faculty member for the Economics program.
New Call for GSSI PhD Applications 2026/27 now open - 38 scholarships available
The positions are among the four four-year academic Programmes: 13 for Astroparticle Physics, 15 for Computer Science, 10 for Regional Science and Economic Geography. The PhD program in Mathematics in Natural, Social and Life Sciences has already opened 10 positions in November 2025: further available positions will be announced on March 31. The new doctoral students will join the 188 already in L'Aquila. The GSSI, established after the earthquake, has 80 professors and researchers and over 50 post-docs. Since 2012, the institute has awarded over 230 ‘Philosophiae Doctor’ (Ph.D.) degrees. The new call for applications envisages a gross annual scholarship of €16,243, accommodation in the GSSI facilities or a substitute grant, board and other benefits. The application for admission must be filled out exclusively using the online procedure available on the GSSI website at https://applications.gssi.it/. Applications received by other means will not be accepted. The application deadlines are as follows: • May 4, 2026, at 3:00 PM (CEST) for positions in Regional Science and Economic Geography and for the single Computer Science position related to the FIS project "A Robust Theory of Distributed Computation"; • May 15, 2026, at 3:00 PM (CEST) for positions in Mathematics in Natural, Social and Life Sciences. • May 28, 2026, at 3:00 PM (CEST) for positions in Astroparticle Physics; • June 5, 2026, at 3:00 PM (CEST) for positions in Computer Science. The GSSI-Gran Sasso Science Institute is an international PhD school and a center for research and higher education in the areas of Physics, Mathematics, Computer Science and Social Sciences. Founded in 2012 in L’Aquila (Italy) as Center for Advanced Studies of the National Institute for Nuclear Physics (INFN) and then established in March 2016 as a School of Advanced Studies providing post-graduate education. Through a day-to-day collaboration and interaction, researchers and students have the opportunity to build a sound knowledge of the research methods and to experiment contamination of interests, innovative approaches and multicultural exchanges in all the GSSI activities. In addressing the complexity of today’s world, GSSI is committed to removing all barriers between its areas of study and research. The dissemination of scientific results towards society and the promotion of cultural events for generic public, citizens and schools are among GSSI goals. The doctoral school of L'Aquila celebrated ten years of activity with the inauguration of the academic year early this January and continues its journey in the wake of its strong international vocation. With over 170 students, almost half of whom comes from worldwide, and nearly one hundred of academic staff, it offers a dynamic environment and collaborations with numerous prestigious scientific institutions in Europe and around the world. https://www.gssi.it/communication/news-events www.gssi.it What to expect from a PhD at GSSI?
The Gran Sasso Science Institute has published the new call for applications for the forty-second cycle of PhDs. For the next academic year, which will officially begin on 1 November, 2026, GSSI is offering further 38 scholarships for doctoral programs in Astroparticle Physics, Computer Science, and Regional Science & Economic Geography.
Economic Development, Innovation and Growth (JEL O)
Urban, Rural and Transportation Economics (JEL R)
Macroeconomics and Monetary Economics (JEL E)
Agricultural and Environmental Economics (JEL Q)
6th Global Economic Policy Workshop: The Economics of Geopolitical Fragmentation
The global economic order is undergoing profound transformation as geopolitical tensions increasingly reshape international trade, finance, investment, technology, and global governance. After decades of deepening global integration, the world economy is now characterised by growing fragmentation, reflected in the reorganisation of supply chains, the emergence of competing technological ecosystems, the increasing use of sanctions and export controls, and the formation of economic blocs with diverging strategic priorities. The 6th Global Economic Policy Group Workshop, titled The Economics of Geopolitical Fragmentation, will take place on 25–26 September 2026 at the Goethe Institut, Budapest, Hungary. The workshop is organised by the Global Economic Policy Group in collaboration with the University of Westminster, FernUniversität in Hagen, and the Goethe Institut. The workshop aims to bring together researchers working on the economic implications of geopolitical fragmentation and related topics in international economics and finance. It welcomes theoretical, empirical, and policy-oriented contributions addressing issues such as geopolitical risk, trade and investment fragmentation, technological decoupling, sanctions and economic statecraft, global supply chains, international monetary and financial system fragmentation, emerging markets, and global economic governance. Selected papers presented at the workshop will be considered for a special issue of the International Journal of Finance and Economics. Submissions of extended abstracts or full papers should be sent to k.jackson@westminster.ac.uk by 15 July 2026. There is no fee payable to attend the workshop.
Dates: 25–26 September 2026 Venue: Goethe Institut, Budapest, Hungary Organised by: University of Westminster, FernUniversität in Hagen, and Goethe Institut Special Issue Opportunity: International Journal of Finance and Economics Submission Deadline: 15 July 2026 Submissions and Enquiries: k.jackson@westminster.ac.uk Registration Fee: There is no fee payable to attend this workshop.
PhD Programme in QUANTITATIVE METHODS IN ECONOMICS at the University of Macerata
Course Objectives The aim is to develop scientific training in quantitative analysis for the new generation of scholars in academia and to promote a culture of quantitative analysis within institutions. The course delves into policy analysis tools, both ex-ante (calibrated predictive models) and ex-post (counterfactual analysis of observational data); mathematical and statistical quantitative methods in deterministic and stochastic contexts applied to economic growth, income distribution, monetary policy, international trade, environmental economics, social inclusiveness, business economics, and other areas of economic analysis application. These topics are also explored through simulation models such as multisectoral models (input-output, SAM based, and CGE) and agent-based models. Significant attention is also paid to new methods of online data collection and analysis (big data, web scraping, and nowcasting), network analysis, and data analysis applied to administrative business data. Employment and Professional Opportunities QME PhD graduates will be able to access professions requiring high qualifications in data analysis, the construction and maintenance of quantitative survey models, and policy evaluation at both micro and macroeconomic levels. More specifically, the QME PhD facilitates access to academic careers in national and international university systems; work in economic research centers at the national and international level; activities supporting the choice and implementation of economic policies at all levels of government; roles in policy impact evaluation, both ex-ante and ex-post, in public and private companies; and professions related to the roles of economist and applied statistician or emerging roles such as data scientist, data analyst, or data journalist. In particular, the focus on training public officials in data analysis aims to contribute to technical competence in public administration. Similarly, the application of quantitative methodologies to business administrative data and fields such as business analytics offers a professional outlet in companies that prioritize the use of data analysis in strategic decision-making.
The PhD in Quantitative Methods in Economics (QME) - entirely in English - provides excellent skills in the use of the most modern quantitative tools for economic analysis and economic policy analysis, used both in academia and in the private sector, as well as in the analytical activities of national and international institutions.
JEPA2026 The 25nd International Conference of the Japan Economic Policy Association
The Japan Economic Policy Association (JEPA) invites you to the 25th JEPA International Conference. The conference will feature regular sessions, theme-related plenary sessions, and more. This year, the conference will be held in a face-to-face format only. The event is relevant for academics, scholars, policymakers, and officials from governments and international institutions working in the fields of economics and related sciences. Presenters at the conference are encouraged to consider submitting their papers to the International Journal of Economic Policy Studies (IJEPS), the official refereed journal of JEPA published by Springer. We invite you to submit papers for presentation at the conference.
The Main Theme: Environment and Sustainability Date: October 24 (Sat.) – 25 (Sun.), 2026. Place: Shinagawa Campus, Tokai University, Takanawa 1-2-1 , Minato-ku, Tokyo JAPAN Host University: Tokai University Co-Host: Tokai University Research Institute for Environment and Sustainability (TRIES)
PhD in Economics (Four-Year) - University of Torino
All activities take place at the Collegio Carlo Alberto in downtown Torino. Students can benefit from a vibrant and international academic environment and participate in all scientific events (seminars, workshops, conferences, ...). On top of the yearly scholarship (17,500 Euros per year, for four years), they receive yearly research funds and have the possibility to spend part of their third or fourth year abroad as visiting students. There is also the possibility to sign cotutelle agreements with other academic institutions so to obtain a double doctoral degree. See the poster announcing the the new round of admissions! It can be downloaded here. The official call for applicants will be released in April/May 2026. Potential applicants are however already invited to send, at their earliest convenience, their "expression of interest". The guidelines for the submission of the expression of interest can be found here. For more information about the Vilfredo Pareto PhD in Economics, see the website of the program or contact vpde.unito@carloalberto.org.
The Vilfredo Pareto PhD in Economics is a 4-year PhD program of the University of Torino, organized in close collaboration with the Collegio Carlo Alberto. The program allows students to structure their coursework and write their doctoral dissertation in a number of different areas of economics. After a common set of core courses that take place in the first semester (including review courses in mathematics and statistics and advanced courses in microeconomics, macroeconomics, and econometrics), students can further prepare for their dissertation work by choosing from a list of elective courses.
Large Language Models, Graphs and Applications (LLGA) Master's Specialization
The LLGA Master’s specialization is a two-year, fully English-taught degree with a strong international outlook. Designed for ambitious students, the specialization equips graduates with both a solid theoretical foundation and hands-on industry expertise in Generative AI. With a special emphasis on Large Language Models (LLMs) and graph-structured data, students gain the skills to harness cutting-edge technologies and apply them across diverse fields—from healthcare and biology to finance, social networks, and beyond. In recent years, Generative AI has grown explosively, with Large Language Models (LLMs) transforming how society and the economy interact with the digital world. From translation and code generation to creative content and advanced reasoning, these technologies achieve tasks once unimaginable. The LLGA Master’s specialization prepares students to master this field, combining theory with real-world applications. Graph-based models, such as Graph Neural Networks (GNNs), add another layer by capturing complex structures in networks, molecules, or logistics. Together, LLMs and graph methods enable multimodal generative AI, opening opportunities in healthcare, finance, recommendation systems, and beyond. The LLGA specialization provides a strong foundation in machine and deep learning, plus hands-on experience with cutting-edge generative techniques. Through projects, case studies, and industry applications, graduates gain rare expertise, equipping them to lead the next generation of AI innovation. Program Details Master's Degree Industry-Oriented Duration: 2 Years Taught in: English Location: France Credits: 140 ECTS Cost: Up to €15,400 Per Year Academic Prerequisites Students are required to have a suitable background in mathematics and computer science. In practice, this means knowledge of linear algebra, statistics, as well as Python programming, algorithms and data structures. Some exposure to natural language processing and graph theory is desirable, but not required. Candidates with Bachelor degrees that are not in Mathematics or Computer Science are also admissible if the required knowledge domains are covered in their degree programs. Career Prospects Students will have highly suitable profiles for data science or AI roles in industry. While the LLM aspect of the specialization allows students to apply to companies in most digital companies, the graphs and applications aspect of the specialization prepares the students particularly well for roles in the pharma, logistics and communication industries. Graduates of the LLGA Master’s specialization are prepared for careers as AI/ML Engineers, Data Scientists, NLP Specialists, Graph AI Experts, and AI Research Scientists, as well as strategic roles such as AI Product Managers, Solution Architect. Opportunities span industries including tech, healthcare, finance, consulting, social media, e-commerce, and public institutions. Also - since the specialization teaches cutting-edge methodology in a relevant field of research, pursuing a PhD after this program is perfectly possible. Contact Us ECOLE POLYTECHNIQUE Route de Saclay 91128 PALAISEAU Cedex France
The LLGA Master’s specialization is a two-year, fully English-taught degree focusing on Generative AI and Large Language Models.
The Math Classes to Take if You’re Serious About Economics (or Data Science)
However, as our mathematical prowess and computing capabilities grew, economics naturally grew more quantitative as well. Nowadays, even Bachelor’s courses in economics are relatively math-heavy, requiring basic knowledge of calculus from early on. That’s not to say that economics was ever a purely qualitative field — it’s always been in a comfortable relationship with mathematics. Adam Smith, one of the earliest economists, was an accomplished mathematician himself. In fact, many economists were originally mathematicians who became interested in economics at some point in their careers. And it’s noteworthy that Joseph Schumpeter — the economist who coined the term “creative destruction” — was a strong advocate of marrying math and economics, despite seldom using math himself (because, as other economists have retold it, he allegedly regretted that he wasn’t very good at it despite recognizing its value). While it is possible to pursue a career in economics without strong quantitative skills, refusing to partake in them at all is certainly an uphill battle. And so, we’re providing the following list of quantitative subjects that are increasingly integral (ha, ha) to becoming an economist in today’s world. In fact, they’re also arguably necessary if you want to become a data scientist or natural scientist as well! Calculus This subject should be thought of as a prerequisite for serious study in economics, computer science, and data science. Almost every single course in economics will feature several of the following concepts: derivatives, limits, integrals, and/or algebraic manipulation of complicated expressions including logarithms and exponentials. For a brief explanation as to why, consider that optimizing a function — or in other words, finding a maximum or a minimum — requires taking derivatives. When we consider how consumers maximize their utility or how firms minimize their factor costs, we must use derivatives and other mathematical tools. Thus, optimization is a core building block of both macro- and microeconomics, which deal with the maximizing behavior of consumers and firms. Calculus is perhaps the first challenging math subject that students take after learning algebra in their early years, and it can often leave a sour aftertaste when first encountered. Still, it’s one of the fundamental building blocks of mathematical literacy, and it remains an indispensable tool in any scientist’s toolkit. Linear Algebra Linear algebra is a branch of math that deals with systems of linear equations, which can be written in matrix form. Matrices can thus be thought of as big systems of equations (or a group of interrelated vectors). When these equations are all linear, they can be solved just like we learned in algebra classes. But when matrices grow to become massive — think of when an economist gathers thousands of rows of data about (say) tax revenue, which are all related to each other and thus form one massive system of equations — finding a solution becomes difficult. A system of two equations is simple enough to solve, but two thousand? (Nevermind the fact that often, systems of equations based on real-world data don’t have an algebraic solution at all!) Enter linear algebra, which fortunately allows us to manipulate these matrices and solve the systems they represent. And, yes, it’s extremely important to economics; most economics courses default to using matrix notation for lecture notes, model descriptions, and more. That’s because economics data (and most datasets in general) are matrices! Anytime an economist or data scientist collects quantitative (and many times qualitative) data about the economy, it gets stored in a matrix. This is a natural result of working with data, not an arbitrary decision by math-obsessed economists or data scientists. Large amounts of data inevitably get stored in some sort of “list”, and a matrix is essentially a large list. Vectors and matrices are also the language of econometrics, which is a core tool for any modern economist. Econometricians and macroeconomists especially must become very comfortable with linear algebra, though it’s a necessary skill for essentially all economists. Differential Equations If algebra problems take a bit of unraveling, differential equations are like the thick sailor’s knots that hold cruise ships to their moorings. Differential equations are probably the single most important quantitative subject for natural scientists to know, as they govern an incredible amount of real-world relationships in the sciences. They’re also, unfortunately, frequently impossible to solve with a pencil and paper. A basic differential equation defines a relationship between an equation and any number of its own derivatives. The solution to a differential equation is not a number or variable, but an equation that solves the system. A simple example is the size of a population. The current population of human beings is based on the number of humans alive last year, which in turn is based on the number of humans alive the year before it, and so on. It also depends on the rate at which people reproduce. So, in order to determine (or predict) the size of a population at a point in time, we must know the size of the population at some point beforehand, the rate at which the population grows (which is defined by the first derivative), and the rate at which that growth changes (second derivative). This can be modeled by a differential equation. In economics, differential equations come up most often in macroeconomics, since most real-world macroeconomic data depend on their past values and growth rates of myriad interrelated factors. However, they’re still useful for all economists — and for many other data scientists and natural scientists — to know. Real Analysis Real analysis can be considered the first genuine course in mathematics that students ever take. Everything else on this list can be considered subjects that merely teach how to do calculations. In contrast, real analysis uses logic to show how mathematical calculations can be true in the first place, and prove how they work. It is the basic language of professional mathematicians. A typical real analysis course uses logic and set theory to prove how real numbers work and how we know the math of calculus is true. Rather than calculate answers, typical real analysis problems ask students to prove mathematical statements. As such, learning how to write arguments in mathematical logic is a core skill that this course teaches — and it’s often the first time students ever encounter something like it. This might sound arcane and unnecessary for a student of economics. Yet, since real analysis teaches students how to reason in math terms, and since nearly all economic theory is either based upon or translated into math, real analysis is one of the best ways to become highly proficient at PhD-level economics. In my personal experience, Master’s-level courses in economics taught calculations, and were difficult and interesting in their own right. But graduate/PhD-level economics goes further, forcing students to understand why things work and what quantitative facts about economic behavior mean (and imply about other economic phenomena). Graduate microeconomics courses in particular could be described as real analysis applications masquerading as economics. And PhD-level macroeconomics courses frequently refer to and depend on theorems, proofs, and concepts that real analysis courses prove. Take it from my personal experience: in my class of 12 PhD students, I was one of 4 or 5 who had never studied real analysis before. As a result, I had to work harder than most of my peers to understand certain topics, so much so that I actually decided to cram in an entire online course of real analysis in between my last week of classes and my first exam. It was a painful but incredibly enlightening experience. Learn from my struggles and take note: the time you spend learning (even just basic) real analysis will pay itself off in spades. It is highly recommended, most especially for aspiring microeconomists. Statistical Inference Statistics is deeply related to math, but can be considered its own field. Still, we’d be remiss not to include it here, as understanding statistics is essential for economists. Basic statistics courses often introduce students to fundamentals like the normal distribution and basic methods like constructing confidence intervals. Every applied economist absolutely must learn how to wield statistical methods effectively. That’s because real-world data is messy and contains noise. When collecting data and attempting to disentangle economic truths from them, likely by running a regression, it’s the tools and methods of statistics that allow an economist to make statements and draw conclusions. Research paper conclusions are built off of proper statistical analysis! Statistical inference classes are therefore very important for an aspiring economist, and any data-minded scientist. Econometrics courses often teach statistical techniques and analyses side-by-side with linear algebra concepts, but seldom have time to explain the underpinnings of statistics (or linear algebra, for that matter). Fortunately, many economics programs do include statistical inference classes as part of the curriculum, and it is highly recommended that students take these courses if given the chance. You owe it to yourself “Painful but enlightening” could probably describe most courses in mathematics. Still, if you’re serious about becoming an economist, a data scientist, or even a natural scientist, these subjects will come up in your field. As such, you owe it to yourself to give them a shot as soon as possible. And don’t be discouraged when things are difficult. Often, learning a new subject — especially a quantitative one — can be challenging. It can take a long time for things to “click”, but repetition and genuine effort will reward you in the long run. And, it’s much easier to attempt to learn them beforehand, rather than try to learn foundational concepts alongside the economic applications that are built off of them! Image Credit: JComp/Freepik
Love it or hate it, economics is a discipline that becomes increasingly mathematical the deeper you get into it. It wasn’t always this way; many contributions to the field have been made through logical arguments and even philosophy.
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.
Ludwig Straub Awarded John Bates Clark Medal 2026
Straub, a prominent macroeconomist, has been honored with the John Bates Clark Medal for 2026 in recognition of his outstanding contributions to the field of economics. Straub's work focuses on the incorporation of agent heterogeneity into macroeconomic modeling, examining how individual differences in behavior influence aggregate economic dynamics. Originally from Germany, Straub's path as an economist has been an unconventional one. Starting with a bachelor's degree in Physics from LMU Munich, he then completed a Master's degree in Mathematics at Cambridge University in the UK, before switching to economics for his PhD at MIT, which he completed in 2018. He then started at Harvard in 2018 in a postdoc position, and was awarded a full-professorship in 2024. His research tackles significant issues such as the relationship between household debt, income inequality, and interest rates. In his influential paper "Indebted Demand," co-authored with Atif Mian and Amir Sufi, Straub developed a framework linking disproportionate consumption behaviors and household debt to shifts in aggregate demand and interest rates. This model explains how increased debt levels among lower-income households can lead to a decrease in overall demand and a prolonged low-interest rate environment. Furthermore, in the publication "The Intertemporal Keynesian Cross," Straub explores the impact of heterogeneous consumption rates on the effectiveness of fiscal policy over time. His research underscores the relevance of distributional dynamics in understanding macroeconomic policies, providing a clearer picture of how current spending can affect future demand. Straub's innovative methods for solving and estimating heterogeneous-agent macro models have also transformed economic analysis. His work, including the paper "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models," introduces new approaches that clarify the connections between individual behaviors and broader economic responses to shocks. In the prize citation on the AEA website, the award of the John Bates Clark Medal acknowledges his profound impact on modern macroeconomic thought. The John Bates Clark Medal is awarded annually by the American Economic Association to an economist under the age of forty, employed at a US institution, who is judged to have made the most significant contribution to economic thought and knowledge. Straub follows Stefanie Stantcheva, the winner in 2025, and joins a prestigious group of previous winners, including many economists who have subsequently won the Nobel Prize such as Esther Duflo (Clark Medalist in 2010), David Card (1995), Paul Krugman (1991), Joseph Stiglitz (1979), and Milton Friedmann (1951).
Ludwig Straub has been awarded the prestigious John Bates Clark Medal for his significant contributions to macroeconomic modeling. His research addresses agent heterogeneity and its impact on economic dynamics, particularly in relation to consumer behavior and fiscal policy.
Master's programme in Quantitative Economics and Finance (MiQE/F)
The programme combines in-depth knowledge in the areas of economics and finance with state-of-the-art quantitative methods, which makes it unique in Switzerland. The MiQE/F trains students to analyse and solve challenging problems in economic policy, finance and the world of business. Small class sizes ensure inspiring discussions and close contact to the research-oriented faculty. The MiQE/F is an excellent basis for moving on to responsible positions in the private sector or policy institutions as well as for highly selective Ph.D. programmes worldwide. Objectives As a MiQE/F student, you develop a deep understanding of economic and financial theories. Moreover, you gain strong methodological competence with distinctive skills in econometrics, quantitative methods and machine learning. Given the challenges and increasing importance of digitalisation MiQE/F offers courses on big data, machine learning and related topics for successful careers in the digital age. You know how to apply your diverse skill-set to analyse data and solve complex and challenging real-world problems. Strong management and communication skills further enhance your profile. Career prospects Graduates of pure business and economics programmes often lack an in-depth training in quantitative methods. Mathematicians and statisticians often lack an economics or finance background. As a MiQE/F graduate, you bridge this gap with your diverse skill-set. Policy and financial institutions and firms in the private sector are increasingly confronted with complex problems requiring confident application of methods as well as a deep understanding of economic processes and the finance sector. MiQE/F graduates are well prepared for responsible positions in the areas of banking and finance, consulting and insurance. Due to its strong methodological training, MiQE/F graduates are also extremely well equipped to pursue an academic career.
With its challenging curriculum, the Master's degree programme in Quantitative Economics and Finance offers high-quality education in economics, econometrics and quantitative methods with a strong focus on finance.
Different funding options can be applied for, please see: www.studyfunding.unisg.ch/
Instructor, Business/Accounting/Economics
East Central College has an anticipated opening for full-time (9 month) faculty position with teaching responsibilities across Business, Accounting, and/or Economics. Instructor is responsible for providing an effective learning experience in the classroom for students with diverse interests, abilities, and expectations. This is a shared position between the Union campus and Rolla location. Anticipated start: Fall 2026. Minimum Qualifications: (A comparable amount of training, education or experience may be substituted for the minimum qualifications.) Master’s degree in Business, Accounting, Economics or related field Business or accounting experience considered beneficial Community college teaching experience a plus Essential Tasks: (Employee must be able to perform the following essential functions to the satisfaction of the employee’s supervisor.) Teach thirty (30) semester credit hours (or the equivalent in lab, studio, clinical, etc. hours) each academic year. Participate in developing course and/or program curriculum, standards and policies in collaboration with core faculty, Dean, and/or Department Chairperson. Develop course curriculum, handouts, lectures, labs, presentations; and maintain course outlines, syllabi, printed, and non-printed instructional materials. Conduct all classes in accordance with an established and current course syllabus. Participate in course and/or program level assessment including development of learning outcomes and measures, evaluating student performance, and recommending improvement measures. Assist in conducting program review; plan, develop and implement activities in support of the Higher Learning Commission, or other agency, accreditation guidelines with regard to student academic achievement (assessment) and their success on outcomes (institutional effectiveness). Maintain student/attendance/grade/discipline records as required by the College; keep appropriate course/department/program/division records, as required by the College. Perform assigned responsibilities, duties, and tasks according to established practices, procedures, techniques, and standards in a safe manner with minimal supervision. View full job description here. Salary will be commensurate with education and years of experience. Faculty salary schedule can be viewed here. Benefits: ECC offers a comprehensive benefits package which includes medical, dental, vision and life insurance with no premium cost to the employee for employee only coverage. Missouri Public School Retirement System benefits, generous paid leave, ECC tuition waiver for self and immediate family and tuition reimbursement benefits for employee. East Central College is located about 60 minutes from St. Louis. For more information about East Central College visit, www.eastcentral.edu. East Central College does not discriminate on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, age, disability, genetic information or veteran status. Inquiries related to employment practices may be directed to Human Resources Director at 636-584-6710. East Central College is an equal opportunity employer and provider of employment and training services. Auxiliary aids and services are available upon request to individuals with disabilities. Job Information Job Id: Business Accounting Economincs Instructor FY27 Company: East Central College Location: Union/Rolla, MO Position: Instructor, Business/Accounting/Economics Type: Full Time
East Central College is seeking a full-time instructor for Business, Accounting, and/or Economics.
Geopolitical Alignment, Tensions, and the Global Economy (Measurement and Evidence)
Call for papers Université Paris-Nanterre, Friday, December 4, 2026 Geopolitical Alignment, Tensions, and the Global Economy (Measurement and Evidence) The workshop Geopolitical Alignment, Tensions, and the Global Economy (Measurement and Evidence) is scheduled to occur at the Université Paris-Nanterre. The date of the workshop is Friday, December 4, 2026. The purpose of holding this workshop is to enable different researchers from the social sciences to meet and present new developments related to measurements, models, and empirical studies associated with the evolution of the measurement of geopolitical alignment, and its consequences for the global economy. Geopolitical dynamics increasingly shape global economic patterns. The use of strategic competition, changes in alliances, conflict and cooperation patterns, trade and financial fragmentation, and changes in institutional settings increasingly influence economic growth, trade, financial flows, inflation, and development paths. By contrast, significant progress has been made in measures to construct quantitative proxies for geopolitical alignment, tension, and conflict, as well as methods to econometrically capture patterns of interdependence, spillovers, and non-linearities in these dynamics. This workshop seeks to offer a platform for these findings to be showcased. Contributions from any area of the social sciences are invited, including economics, political science, international relations, geography, and other related areas, as long as they adopt a quantitative perspective. Completed papers are invited, including preliminary papers presenting original research still in progress. Keynote Speakers This workshop will include two keynote lectures: Erik Voeten, Peter F. Krogh Professor of Geopolitics and Justice in World Affairs, Georgetown University, United States. Rodolphe Desbordes, Professor of Economics and Director of the Global Risks Center at SKEMA Business School, France. Areas of interest include, but are not limited to: - Measurement of geopolitical alignment, tensions, and conflicts - Text, linguistic, and perception-related methods for measuring geopolitical tensions - The study of interstate conflict has been fueled by the development of various indices - Geopolitical rivalry and strategic competition - Trade, finance, and the global value chain in the context of geopolitical tensions.docx - Mercantilism, Protectionism, and World Economic Fragmentation - Regional interdependence, spill-overs, and growth dynamics - Maritime geopolitical issues and strategic routes - Economic sanctions, economic war, and economics of war - Dedollarization and the evolution of the international monetary system - Structural transformation of the global economy under stress from geopolitics There will be 8 contributed papers, divided into 4 in the morning and 4 in the afternoon, aside from the two keynote lectures. This will guarantee a high level of interaction. The selection process for the papers shall be relatively selective. Submission and timeline Submission deadline: 31st of May 2026 Notice of acceptance: 28th of June 2026 Confirmation of Participation: Early September 2026 Date of the workshop: December 4, 2026 Submissions of complete papers can be sent to the following email address in PDF format to Jamel Saadaoui at the following email address: jamelsaadaoui@gmail.com. The first page should include the title of the paper, the names and affiliations of the authors, and email address of the person to whom any information should be sent. Non-presenting participants are welcome to attend but are required to register in advance in reason of space constraint. Organizing and scientific committee: Julien Vauday (Université Sorbonne Paris Nord), Francisco Serranito (Université Paris Nanterre), Nicolas Himounet (Université Le Havre Normandie), Pauline Avril (OECD), Philipp Roderweis (OeNB), Hugo Oriola (Université Paris Nanterre), Sophie Saglio (Université Paris 8), and Jamel Saadaoui (Université Paris 8). Looking forward to welcoming you to Université Paris-Nanterre for a focused and stimulating workshop on geopolitical alignment, tensions, and the global economy. The Organizing Committee.
Call for papers Université Paris-Nanterre, Friday, December 4, 2026 Geopolitical Alignment, Tensions, and the Global Economy (Measurement and Evidence) The workshop Geopolitical Alignment, Tensions, and the Global Economy (Measurement and Evidence) is scheduled to occur at the Université Paris-Nanterre. The date of the workshop is Friday, December 4, 2026, at the Université Paris-Nanterre. The purpose of holding this workshop is to enable different researchers from the social sciences to meet and present new developments related to measurements, models, and empirical studies associated with the evolution of the measurement of geopolitical alignment, and its consequences for the global economy. Contributions from any area of the social sciences are invited, including economics, political science, international relations, geography, and other related areas, as long as they adopt a quantitative perspective. Completed papers are invited, including preliminary papers presenting original research still in progress.