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total items: 46
item list element: Up and Running in Stata - Live Online Training
item list element: Time Series Modelling and Forecasting using Stata
item list element: EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS
item list element: 2026 Economic Job Market Best Paper Award
item list element: CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
item list element: Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
item list element: GTAPinR Course
item list element: Economics and Finance Major
item list element: Adjunct Faculty: MS in Data Analytics and Policy
item list element: 9th International Conference on Banking and Finance Perspectives (ICBFP'2026)
item list element: Call for Expressions of Interest Tenure-Track Assistant Professor (RTT) in Economics, Management, and Statistics
item list element: Health Inequality Measurement: Concepts, Methods and Applications (3 days)
item list element: Part-time Faculty, Economics – Lariccia School of Accounting & Finance – Online Courses
item list element: Positive Science – Economics Best Paper Award 2026: $4,000 Prize Fund for Published Articles
item list element: Econometrics with EViews: Time Series, and Panel Data
item list element: Microeconomics: The Power of Markets (Online Course)
item list element: Python and Statistics for Financial Analysis
item list element: MOE START Scheme (Early Career Awards) - Business, Communication and Design
item list element: Game Theory II: Advanced Applications
item list element: Introduction to Sustainable Finance (Online Course)
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Up and Running in Stata - Live Online Training
type: Course
title: Up and Running in Stata - Live Online Training
description: TStat live online training courses are offered interactively via Zoom with a qualified trainer in real-time. All materials (slides, datasets and Stata routines specifically developed for the course) are made available for download before the start of the course. COURSE DESCRIPTION Up and Running in Stata provides participants with the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata in a reproducible manner. The interactive course covers everything from the very basics, in order to get one up and running in Stata, to an overview of the available Stata commands for preliminary data analysis, data management, importing and exporting data formats, merging of databases and the creation of graphs in Stata. In common with TStat’s training philosophy, Up and Running in Stata is by its very nature to be considered very much a hands on approach to learning Stata course. Each individual session is composed of both a theoretical component and an applied segment, during which participants have the opportunity to implement the techniques illustrated under the watchful eye of the course tutor. COURSE ID: D-IN10-OL LANGUAGE: English TARGET AUDIENCE This interactive online course is invaluable to both professionals and researchers (working in Epidemiology, Business Studies, Marketing and Management, Biostatistics, Economics, Epidemiology, Medicine, Public Health, Social and Political Sciences and Statistics), wishing to use Stata for applied statistical analysis, data management or data visualization. PREREQUISITES Familiarity with PCs and a working knowledge of English. PROGRAM SESSION I: GETTING STARTED SESSION II: STATA FUNDAMENTALS SESSION III: CREATING SIMPLE STATA ROUTINES: DO FILES SESSION IV: IMPORTING DATA FROM SPREADSHEETS SESSION V: MERGING DATA BASES SESSION VI: GRAPHICS – AN INTRODUCTION SUGGESTED READINGS - Acock, A. (2023). A Gentle Introduction to Stata. Revised Sixth Edition. Stata Press Publication. - …
disambiguating description: Up and Running in Stata provides participants with the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata in a reproducible manner. The next 2026 edition of this training course will be offered online on a part-time basis on the 19th-20th, 22nd-23rd of October from 9:30 am to 1:30 pm CEST.
date posted: 2026-01-14T12:14:12Z
date modified: 2026-09-03T09:50:45Z
valid through: 2026-10-09T21:59:59Z
start date: 2026-10-19T08:00:00Z
end date: 2026-10-23T11:30:59Z
hiring organization: TStat Training
job location: Place
  address: PostalAddress
    address locality: Sulmona
    address region: Abruzzo
job location type: TELECOMMUTE
employment type: online
language: en
keywords: data analysis
keywords: Stata
keywords: webinar
keywords: TStat
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Statistics
more info url: https://www.tstat.eu/formazione/up-running-stata-2/

Time Series Modelling and Forecasting using Stata
type: Course
title: Time Series Modelling and Forecasting using Stata
description: COURSE DESCRIPTION Time Series data is today available for a wide range of several phenomena in Business, Finance, Economics, Public Health, the Political and Social Sciences. The aim of TStat Training’s Times Series Modelling and Forecasting Course is therefore, to provide researchers and professionals with the standard tool kit required for the analysis of time series data in Stata. As such the program has been developed to offer an overview of the most commonly used methods for analysing, modelling and forecasting the dynamic behaviour of time series data, offering practical examples of empirical modelling using real-world data. The course begins with an introduction to Stata’s basic time series commands, before moving onto the analysis of time series features and to univariate time series models. Sessions 3 and 4 instead focus on the estimation of both multivariate time series models with stationary and nonstationary data and univariate models of volatility. In common with TStat’s training philosophy, throughout the course theory and methods are illustrated in an intuitive way and are complemented by practical exercises undertaken in Stata, during which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. Particular attention is also given to both the interpretation and presentation of empirical results. In this manner, the course leader is able to bridge the “often difficult” gap between theory and practice of time series modelling and forecasting. Upon completion, it is expected that participants are able to autonomously implement the statistical methods discussed during the course to their own data, customizing when necessary, the Stata do-file routines specifically developed for the course. TARGET AUDIENCE Researchers and professionals working in financial institutions, policy institutions, research departments of utilities, governments, corporations, Ph.D and Master students in biostatistics, economics, f…
disambiguating description: The course has been developed to offer an overview of the most commonly used methods for analysing, modelling and forecasting the dynamic behaviour of time series data, offering practical examples of empirical modelling using real-world data. TStat Training’s live online training courses are offered interactively via Zoom with a qualified trainer in real-time. All materials (slides, datasets and Stata routines specifically developed for the course) are made available for download before the start of the course. The 2026 edition of this training course will be offered ONLINE on a part-time basis on the 1st-2nd of October and 8th-9th of October.
date posted: 2026-08-13T10:03:08Z
date modified: 2026-09-02T10:00:45Z
valid through: 2026-09-20T21:59:59Z
start date: 2026-10-01T08:00:00Z
end date: 2026-08-09T21:59:59Z
hiring organization: TStat Training
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Time Series Modelling
keywords: Economic Forecasting
keywords: TStat Training
keywords: Stata
keywords: Forecasting
keywords: TStat
type: course
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://www.tstat.eu/formazione/training-time-series-modelling-forecasting-stata-ol/

EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS
type: Course
title: EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS
description: Date: January 1, 2026 - December 31, 2026 EcoMod ONLINE expands the EcoMod School’s offerings to a flexible, accessible learning environment designed for professionals worldwide. Our online programs cover the major economic policy challenges facing governments, central banks, international organizations, and research institutions. Key topics include sustainability, energy, climate change, monetary and fiscal policy, taxation, labor markets, development, pensions, health, social protection, gender, agriculture, tourism, water, and regional economic issues. Through EcoMod ONLINE, participants learn how to design, develop, and apply quantitative economic models for scenario analysis, impact assessment, forecasting, and policy simulations. All courses are asynchronous—allowing you to study at your own pace and from any location—while maintaining the rigor, structure, and practical orientation that define EcoMod training. Instruction is delivered by senior experts with extensive hands-on experience as heads of modeling units and research divisions in major institutions. Course Open - EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS This immersive online course enables participants to master Computable General Equilibrium (CGE) modeling using GAMS, following the successful EcoMod framework—an internationally recognized standard in applied economic modeling. Participants will build models from the ground up, developing practical skills in partial and general equilibrium analysis, household behavior, production technologies, macro‐economic policy, government interventions, labor markets, savings-investment dynamics, and international trade. Advantages of EcoMod ONLINE Learn from anywhere, at any time, with full flexibility for professional schedules Progress at your own pace through structured, high-quality modules Access the same level of expert instruction as our in-person schools Apply learning immediately through real datasets, models, and hands-o…
disambiguating description: Join a Global Community of Modeling Professionals through the EcoMod ONLINE program.
date posted: 2026-01-15T13:55:50Z
date modified: 2026-08-31T12:30:45Z
hiring organization: EcoMod
job location type: TELECOMMUTE
employment type: online
language: en
keywords: GAMS
keywords: EcoMod
keywords: Online Economics Course
keywords: Economics Training
type: course
disciplines: publiceconomicspolicy
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: generaleconomics
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: General Economics (JEL A)
more info url: https://ecomod.net/modeling-school/ecomod-online

2026 Economic Job Market Best Paper Award
type: EducationalOccupationalProgram
title: 2026 Economic Job Market Best Paper Award
description: Target: Students and researchers Category: Research support Date: 20 July 2026 - 12 October 2026 The Award aims to promote excellence in economic research by recognising outstanding Job Market papers and enhancing the visibility of the most talented young economists as they enter the international academic job market, in line with UniCredit Foundation’s mission to invest in talent and support the next generation of researchers. Award Details UniCredit Foundation will award 5 prizes of €1,000 gross each. The Award is granted directly to individual candidates, irrespective of their nationality or the university at which they are enrolled. Preference is given to single-authored papers demonstrating high levels of originality and publication potential. Key Dates Application submission deadline: 12 October 2026 Announcement of winners: by 20 November 2026 Download the announcement For further information email: info@unicreditfoundation.org Apply Here Eligibility Who is eligible to apply? Applicants must be PhD candidates or PhD graduates that will participate to the European Job Market for Economists 2026. Is registration for the European Job Market for Economists required? Yes. Registration for the European Job Market for Economists 2026 is a mandatory eligibility requirement. Applicants must provide evidence of participation, such as a confirmation email or a screenshot of the relevant registration or participation webpage. Can recent PhD graduates apply? Yes. Both PhD candidates and recent PhD graduates who are participating in the EJM 2026 may apply. Can applicants from non-European universities participate? Yes. Eligibility is not restricted by geographic location or university nationality, provided the applicant is participating in the European Job Market for Economists 2026.
disambiguating description: UniCredit Foundation announces the launch of the 13th edition of the Economic Job Market Best Paper Award, promoted in collaboration with the European Economic Association.
date posted: 2026-08-06T10:04:14Z
date modified: 2026-08-31T09:30:45Z
valid through: 2026-10-12T21:59:59Z
hiring organization: UniCredit Foundation
job location: Place
  address: PostalAddress
    address locality: Milan
    address region: Lombardy
    address country: IT
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Economics
keywords: Research
keywords: Best Paper Award
keywords: Economic Job Market
type: scholarship
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
more info url: https://www.unicreditfoundation.org/en/open-calls/2026-economic-job-market-best-paper-award

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

Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
type: Course
title: Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
description: The creation of spatial maps has become a valuable tool for researchers interested in both the spatial data visualization and the identification of geographical patterns in the data. This interactive course therefore, offers an introduction to the mapping techniques currently available in Stata for visualization of geospatial data. The workshop opens with an overview of the peculiar characteristics of geospatial data, the implications of such for the analysis of such data and an overview of the special terminology used in this field, before moving on to discuss the concept of spatial proximity and its relevance to the visualization of spatial data analysis. The remainder of the workshop is dedicated to the principle mapping techniques, using a combination of both official Stata commands and a series of user written commands, currently adopted to visualize geospatial data in Stata. Participants will learn how to import geospatial data shapefiles in Stata and merge them with their existing Stata databases in order to create, compare and customize different mapping techniques. At the end of the course, participants will be able to autonomously implement (with the help of the Stata routine templates specifically developed for the workshop) the appropriate mapping methods, given both the nature of their spatial data and the analysis in hand, within their own research. TARGET AUDIENCE This online course is of particular interest for criminologists, social psychologists, sociologists, economists, epidemiologists and political scientists seeking to acquire the requisite tools required for the exploration and visualisation of spatial data in Stata. PREREQUISITES A knowledge of basic statistics (distributions of variables, position indices, dispersion indices) and the statistical software Stata is recommended. PROGRAM SESSION I: SPATIAL DATA 1. General characteristics of spatial data 2. Types of spatial objects 3. Spatial coordinate systems 4. Maps and shapefiles 5. The trans…
disambiguating description: This interactive online course offers an introduction to the mapping techniques currently available in Stata for visualization of geospatial data. The next edition of this training course will be offered online on a part-time basis on the 30th of September.
date posted: 2026-01-05T10:20:22Z
date modified: 2026-08-20T08:10:45Z
valid through: 2026-09-20T21:59:59Z
start date: 2026-09-30T08:00:00Z
end date: 2026-09-30T11:30:00Z
hiring organization: TStat Training
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Geospatial Data
keywords: Spatial Maps
keywords: Stata
keywords: Geoeconomics
type: course
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: urbanruraltransportationeconomics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Urban, Rural and Transportation Economics (JEL R)
more info url: https://www.tstat.eu/formazione/visual-analysis-spatial-data-mapping-stata-ol/

GTAPinR Course
type: Course
title: GTAPinR Course
description: GTAPinR Course "Running the GTAP Model using R packages HARr and tabloToR" General Information Dates: Open enrollment Learners can enroll in this course at any time. Once payment has been received and access to the learning management system has been granted, learners will have 56 days to complete the course before access ends. Since the course is self-paced, instructor assistance is not available during or after the course. No feedback or grading beyond automated assessments will be provided. Location GTAPinR is delivered fully online. There is no onsite component to this course. Offered by Center for Global Trade Analysis, Purdue University Enrollment Fees $625 Professional (Developed Country) $470 Professional (Developing Country) $315 Student (Developed Country) $160 Student (Developing Country) Why You Should Enroll Enhance your GTAP skills with open-source R tools designed to streamline simulation and analysis! Execute the GTAP Model directly in R - Learn how to run GTAP simulations end-to-end within the R environment using the open-source HARr and tabloToR packages Streamline data handling and model workflows - Gain practical skills in reading and writing GTAP data, solution files, and header arrays directly in R, enabling more efficient experiment setup and result processing Build practical skills for GTAP workflows - Build hands-on skills in GTAP workflows – setting closures, applying shocks, solving the model, and extracting results all in R environment Strengthen policy analysis with advanced visualization - Turn outputs into insight with R visualization workflows, improving interpretation, communication, and presentation of simulation results Flexible, self-paced learning for busy schedules - With open enrollment and a 56-day completion window, the course is designed to fit into busy schedules while providing structured modules, practical exercises and assessments Course Content This course aims to empower GTAP users with practical tools in R statistical…
disambiguating description: Enroll in the GTAPinR Course to enhance your GTAP skills with practical tools in R statistical software for policy making.
date posted: 2026-05-24T14:03:06Z
date modified: 2026-08-22T14:10:45Z
valid through: 2027-06-24T21:59:59Z
hiring organization: Purdue University
job location: Place
  address: PostalAddress
    address locality: West Lafayette
    address region: Indiana
    address country: US
job location type: TELECOMMUTE
employment type: online
language: en
keywords: online course
keywords: computable general equilibrium modeling
keywords: GTAP
keywords: R statistical software
type: course
disciplines: microeconomics
disciplines: othereconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: socialscience
disciplines: economicdevelopmentgrowth
disciplines: economicsystems
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: econometricsstatisticsquantitative
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
disciplines: economicthoughtmethodology
discipline labels: Microeconomics (JEL D)
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Economic Systems (JEL P)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
discipline labels: Economic Thought & Methodology (JEL B)
more info url: https://www.gtap.agecon.purdue.edu/events/GTAPinR/

Economics and Finance Major
type: EducationalOccupationalProgram
title: Economics and Finance Major
description: The interdisciplinary B.Sc. Hons programme in Economics and Finance will help students to understand the principles of economics and its applications to financial systems and organisations. The department recommends that students complete mathematics in Classes 11 and 12 to be eligible for any economics-related major or minor. For students who have not studied mathematics in Classes 11 and 12 to be eligible for any economics-related major or minor, they need to: a) Take MAT 1000: Calculus (a 1000-level course) offered by the Mathematics department in their first semester and b) Secure at least an A- to be eligible Note, there may be an entry test requirement for MAT 1000 which will be set by the Maths department. Please check the mathematics department website for more details. In addition to quantitative techniques in mathematics and statistics, the curriculum will also include advanced financial techniques such as derivatives pricing, risk management and portfolio management. Finance Courses A sample of courses constituting the Finance electives is the following. Introduction to Finance Financial Markets and Asset Pricing Finance and the Economy Advanced Financial Management Financial Markets and Institutions International Finance Asset Pricing Derivatives and Risk Management Empirical Monetary Policy and Finance The list of economics and finance electives from recent semesters can be found here. Major Requirements Students admitted to Ashoka in 2022 and thereafter fall within the NEP Programs. Credit requirements for interdisciplinary majors are listed below. Four-year Economics and Finance UG degree (BSc Hons. degree) requires 20 major courses, each of 4 credits. The structure of the 20 courses is the following: 9 compulsory courses in Economics: these include — Introduction to Economics, Mathematics for Economics, Microeconomic Theory I, Macroeconomic Theory I, Statistics for Economics, Microeconomic Theory II, Macroeconomic Theory II, Econometrics, and Develop…
disambiguating description: The interdisciplinary B.Sc. Hons programme in Economics and Finance will help students to understand the principles of economics and its applications to financial systems and organisations.
date posted: 2026-08-20T08:00:00Z
date modified: 2026-08-20T08:00:00Z
hiring organization: Ashoka University
job location: Place
  address: PostalAddress
    address country: IN
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Economics
type: program
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
disciplines: finance
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
discipline labels: Finance
more info url: https://www.ashoka.edu.in/courses/economics-and-finance-major/

Adjunct Faculty: MS in Data Analytics and Policy
type: JobPosting
title: Adjunct Faculty: MS in Data Analytics and Policy
description: General Description Institution Description: Advanced Academic Programs (AAP) is a division of the Johns Hopkins University's Krieger School of Arts and Sciences. As part of the nation's first research university, AAP offers high-quality master's degrees at its Washington, D.C., Center, at JHU's Homewood Campus in Baltimore, Maryland, and online. AAP distinguishes itself through its intensive instructional assistance, selective admissions, and 60 dedicated full-time faculty. Tenured Krieger School faculty members serve as program chairs to oversee the academic rigor of AAP's graduate offerings. JHU is committed to hiring candidates who, through their teaching and service, will contribute to the diversity and excellence of the academic community. For more information, see https://advanced.jhu.edu/. Position description The Advanced Academic Programs (AAP) division seeks non-tenure-track adjunct faculty to teach courses within the M.S. in Data Analytics and Policy program. The course(s) will be taught online. Specifically, the program seeks candidates with experience teaching foundational computational skills for data science, including R, Python, and database management. Candidates with specific expertise integrating AI and LLM tools into programming courses are of particular interest, as are instructors experienced in online course development and teaching. Candidates will teach and engage students from diverse backgrounds. Salary The expected salary range for this position is: $7,210. The referenced salary range is based on Johns Hopkins University's good faith belief at the time of posting. The actual compensation offered to the selected candidate may vary and will be based on factors including, but not limited to, the experience and qualifications of the selected candidate - e.g., years in rank, training, field, discipline, other work experience, and other similar factors; geographic location; internal equity; external market conditions; and other factors as reas…
disambiguating description: Requisition #: A-192459-42 School: Zanvyl Krieger School of Arts and Sciences Location: Telecommute, DC Position Type: Faculty Shift Type: Part Time Salary Range: $7,120 Closing Date: Open until filled To apply: https://apply.interfolio.com/192459
date posted: 2026-09-02T14:56:13Z
date modified: 2026-09-02T15:00:00Z
hiring organization: Johns Hopkins University
job location: Place
  address: PostalAddress
    address country: US
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Online Faculty Job
keywords: John Hopkins University
keywords: Economics Teaching Online
keywords: Remote Faculty Job Economics
type: job
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
more info url: https://facultyjobs.jhu.edu/positions/details

9th International Conference on Banking and Finance Perspectives (ICBFP'2026)
type: Event
title: 9th International Conference on Banking and Finance Perspectives (ICBFP'2026)
description: 9th International Conference on Banking and Finance Perspectives (ICBFP'2026) The Department of Banking and Finance at Eastern Mediterranean University is delighted to announce the 9th International Conference on Banking and Finance Perspectives (ICBFP'2026). The conference will be held on 22-23 October 2026 in Famagusta, North Cyprus. The theme of the conference is Digital Finance: Cryptocurrencies, Fintech and CBDCs. This conference will serve as a platform and an excellent opportunity for researchers, academicians, practitioners, and doctoral students from across the globe to present their research, share experiences, and engage in discussions on new and challenging issues in banking and finance, as well as in wide multidisciplinary research areas. Please note that abstract and full-text submissions should only be prepared and submitted in English. We look forward to welcoming you to the 9th International Conference on Banking and Finance Perspectives (ICBFP'2026) and creating an enriching and collaborative academic atmosphere. Online presentation sessions will be available for international participants during the conference. Once your registration is completed, please email icbfp@emu.edu.tr to inform the organizing committee about your intention to participate in the online presentation sessions. Invited Keynote Speaker Prof. Dr. Andrew Urquhart Publication Opportunities Conference Abstracts will be published in e-abstracts. Full papers will undergo a review process for publication in the Springer Conference Proceedings in Business and Economics, which are indexed in Scopus and Web of Science. Important Dates Deadline for Early Bird Abstract/Paper Submission: 19 September 2026 Deadline for Early Bird Registration: 26 September 2026 Deadline for Abstract/Paper Submission: 2 October 2026 Deadline for Registration: 15 October 2026 Conference Days: 22-23 October 2026 Venue Eastern Mediterranean University 99628, Famagusta, North Cyprus via Mersin 10, Turkiye
disambiguating description: The Department of Banking and Finance at Eastern Mediterranean University is pleased to announce the 9th ICBFP, focusing on Digital Finance: Cryptocurrencies, Fintech and CBDCs.
date posted: 2026-08-31T18:54:21Z
date modified: 2026-09-01T08:11:45Z
valid through: 2026-10-15T21:59:59Z
start date: 2026-10-22T08:00:00Z
end date: 2026-10-23T21:59:59Z
hiring organization: Eastern Mediterranean University
job location: Place
  address: PostalAddress
    address locality: Famagusta
    address region: Ammochostos
    address country: CY
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Finance
keywords: Banking
keywords: Digital Finance
keywords: Conference
type: conference
disciplines: economics
disciplines: financialeconomics
disciplines: socialscience
disciplines: generaleconomics
disciplines: finance
discipline labels: Economics
discipline labels: Financial Economics (JEL G)
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
discipline labels: Finance
more info url: https://icbfp.emu.edu.tr/en/9th-icbfp-2026/conference-overview-icbfp-2026

Call for Expressions of Interest Tenure-Track Assistant Professor (RTT) in Economics, Management, and Statistics
type: JobPosting
title: Call for Expressions of Interest Tenure-Track Assistant Professor (RTT) in Economics, Management, and Statistics
description: The IMT School for Advanced Studies Lucca invites expressions of interest from outstanding candidates for a prospective tenure-track Assistant Professor (RTT) position in Economics, Management, and Statistics, and related fields. The purpose of the scouting procedure is to collect expressions of interest in sectors deemed strategic for the development of the School’s research areas and doctoral programs in order to evaluate the opportunity to open call (“concorsi”) as expected according to the Italian law. The call for expressions of interest is open to candidates working in any field of economics, management, statistics, and related fields. We particularly welcome applicants whose research combines strong theoretical, empirical, experimental, or computational foundations with the analysis of economically and socially relevant questions. The ideal candidate will have a solid research profile and the potential to develop an internationally visible and independent research agenda. Applications are encouraged from scholars using a broad range of methodologies, including business analytics, economic theory, econometric methods, causal inference, experimental methods, survey methods, psychometric methods, mathematical and statistical methods, optimization, game theory, and machine learning. Research interests may include, but are not limited to, microeconomics, macroeconomics, econometrics, applied mathematics, statistics, operations research, management science, strategy, planning and control, business model and innovation, behavioral economics, political economy, computational economics, labor economics, public economics, health economics, environmental economics, international economics, industrial organization, economics of innovation, and economic networks. The successful candidate is expected to actively contribute to the research environment at the IMT School and, in particular, to the activities of the AXES – Laboratory for the Analysis of Complex Economic System…
disambiguating description: The IMT School for Advanced Studies Lucca invites expressions of interest from outstanding candidates for a prospective tenure-track Assistant Professor (RTT) position. ON LINE APPLICATION FORM
date posted: 2026-08-03T06:25:50Z
date modified: 2026-08-05T09:05:49Z
valid through: 2026-10-15T21:59:59Z
hiring organization: IMT School for Advanced Studies Lucca
job location: Place
  address: PostalAddress
    address locality: Lucca
    address region: Tuscany
    address country: IT
job location type: TELECOMMUTE
employment type: online
language: en
keywords: tenured track faculty member
keywords: ECONOMICS
type: job
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
discipline labels: Statistics
more info url: https://www.imtlucca.it/en/jobopportunity/call-for-expressions-of-interest-tenure-track-assistant-professor-rtt-economics

Health Inequality Measurement: Concepts, Methods and Applications (3 days)
type: Course
title: Health Inequality Measurement: Concepts, Methods and Applications (3 days)
description: This course is taught by three leading researchers in measuring health inequalities and inequities in health care. This is a 3-day course run by Melbourne Health Economics within the Centre for Health Policy at the University of Melbourne. It aims to provide participants with a solid grounding in the theoretical and empirical dimensions of health inequality measurement. By the end of the course, participants will be able to: -Understand and apply core concepts in health inequality measurement, including relative and absolute measures, and rank- and level-dependent approaches -Measure and interpret health poverty using established methodological frameworks -Design and conduct health inequality analyses in practice, including defining research questions, sourcing data, and addressing measurement challenges related to socio-economic status -Distinguish between avoidable and unavoidable health inequalities and apply advanced measurement techniques to real-world evidence -Critically evaluate and report health inequality studies in line with current empirical standards Who is this course designed for? This course is designed for those who are working in or alongside the health sector, including researchers, policy analysts, public health professionals, health economists, and postgraduate students, who wish to deepen their understanding of health inequality measurement. It is particularly suited to those looking to build practical skills in applying theoretical frameworks to real-world data and research contexts. Course Outline The course will involve a series of two modules that build on each other to provide an overview of the steps required for understanding, measuring, and analysing inequality in health and health care. Module 1: Understanding Health Inequality: Concepts, Measurement and Health Poverty An introduction to the core concepts underpinning health inequality measurement, covering relative and absolute measures, rank- and level-dependent inequality indices, m…
disambiguating description: Delivered online across three days, this course covers the theory and practice of health inequality measurement, exploring relative and absolute measures and health poverty.
date posted: 2026-08-25T14:10:37Z
date modified: 2026-08-25T14:23:33Z
start date: 2026-11-17T08:00:00Z
end date: 2026-11-19T22:59:59Z
hiring organization: University of Melbourne
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Health Inequality
keywords: health economics
type: course
disciplines: microeconomics
disciplines: economics
disciplines: socialscience
disciplines: healtheducationwelfareeconomics
disciplines: generaleconomics
discipline labels: Microeconomics (JEL D)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Health, Education, and Welfare (JEL I)
discipline labels: General Economics (JEL A)
more info url: https://study.unimelb.edu.au/find/short-courses/health-inequality-measurement-concepts-methods-and-applications-3-days/

Part-time Faculty, Economics – Lariccia School of Accounting & Finance – Online Courses
type: JobPosting
title: Part-time Faculty, Economics – Lariccia School of Accounting & Finance – Online Courses
description: Description Teach undergraduate online courses in economics and personal financial literacy. Position Information Plans, organizes, teaches, and provides feedback to promote and direct student success. Responds to students in a timely manner. Communicates with students, departments, and university officials via university provided tools and resources. An Institution of Opportunity: YSU inspires individuals, enhances futures, and enriches lives. As a student-centered university, Youngstown State University’s mission is to provide innovative lifelong learning opportunities that will inspire individuals, enhance futures, and enrich lives. YSU inspires individuals by cultivating a curiosity for life-long learning; enhances the futures of our students by empowering them to discover, disseminate and apply their knowledge; and enriches the region by fostering collaboration and the advancement of civic, scientific, and technological development. YSU’s culture of enrichment flourishes in our intellectually diverse, accessible, and quality education. Work Schedule: Typically, Monday through Friday. Teaching assignments will be courses online. Qualifications and Competencies Required Certifications, Training, and/or Licensures: None. Sponsorship and/or Work Authorization Status: Must be currently authorized to work in the United States on a full-time basis. Minimum Qualifications: At least an earned master’s degree in economics or a related field; at least three years of professional field experience in economics; must be currently authorized to work in the United States on a full-time basis. Preferred Qualifications: Professional certification(s) in economics or finance. Prior teaching experience. Physical Requirements: In accordance with the U.S. Department of Labor physical demands strength ratings, this position will perform sedentary work. Sedentary: work involves exerting up to 10 pounds of force occasionally or a negligible amount of force frequently to lift, carry, pus…
disambiguating description: Teach undergraduate online courses in economics and personal financial literacy at Youngstown State University.
date posted: 2026-07-29T11:28:19Z
date modified: 2026-07-29T11:30:00Z
valid through: 2027-07-22T21:59:59Z
hiring organization: Youngstown State University
job location: Place
  address: PostalAddress
    address locality: Youngstown
    address region: Ohio
    address country: US
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Economics
keywords: Education
keywords: Online Teaching
type: job
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
more info url: https://www.schooljobs.com/careers/ysu/jobs/5419710/part-time-faculty-economics-lariccia-school-of-accounting-finance-online-c

Positive Science – Economics Best Paper Award 2026: $4,000 Prize Fund for Published Articles
type: EducationalOccupationalProgram
title: Positive Science – Economics Best Paper Award 2026: $4,000 Prize Fund for Published Articles
description: The journal Positive Science – Economics welcomes original research across the broad field of economics, including macroeconomics, microeconomics, finance, development, public economics, labour, education, health, international economics, economic history, environmental economics, digital economy, innovation, and related fields. Positive Science – Economics is open-access, peer-reviewed, and IMRaD-friendly. We welcome theoretical, empirical, applied, policy-oriented, qualitative, quantitative, and interdisciplinary research. Submit your manuscript and, if your article is accepted for publication by December 31, 2026, it will be automatically considered for the award. https://positive-science.com/contest/economics_best_paper_award_2026_75882b7129?utm_source=inomics&utm_medium=announcement&utm_campaign=ps_economics_best_paper_award_2026&utm_content=contest_cta Journal Aims & Scope: https://positive-science.com/journal/human_economics_B1057f9a86?utm_source=inomics&utm_medium=announcement&utm_campaign=ps_economics_best_paper_award_2026&utm_content=journal_scope
disambiguating description: 🏆 Positive Science is pleased to announce the Positive Science – Economics Best Paper Award 2026, an award recognizing outstanding scholarly contributions published in the peer-reviewed open-access journal Positive Science – Economics. All articles accepted for publication or published in Positive Science – Economics between 1 January and 31 December 2026 are automatically eligible. Authors do not need to submit a separate award application. Total prize fund: US$4,000, distributed across three award categories: 🥇 Best Paper Award: US$2,500 🥈 Runner-up Award: US$1,000 🌱 Special Mention / Emerging Scholar Award: US$500 Results announcement: March 2027
date posted: 2026-06-08T14:32:04Z
date modified: 2026-06-08T16:01:40Z
start date: 2026-06-08T08:00:00Z
end date: 2026-12-31T22:59:59Z
hiring organization: Positive Science
job location type: TELECOMMUTE
employment type: online
language: en
keywords: economics
keywords: call for papers
keywords: best paper
type: scholarship
disciplines: microeconomics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: generaleconomics
disciplines: finance
discipline labels: Microeconomics (JEL D)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: General Economics (JEL A)
discipline labels: Finance
more info url: https://positive-science.com/contest/economics_best_paper_award_2026_75882b7129

Econometrics with EViews: Time Series, and Panel Data
type: Course
title: Econometrics with EViews: Time Series, and Panel Data
description: Econometrics with EViews: Time Series, and Panel Data Created by Dr. Nasir Munir What you'll learn Understanding the concepts of data. Explaining the properties of the OLS. Estimating the different econometric tools used in time series data. Determining the basic economics models and interpreting them. This course includes: 13 hours on-demand video Assignments Access on mobile and TV Certificate of completion Course content 16 sections • 88 lectures • 13h 8m total length Description In this course, you will learn how to collect, import, and structure data (World Bank, IMF, WDI, Panel Data), understand types of data and preparing datasets for analysis, and more. Who Should Enroll? Undergraduate & Graduate Students in Economics, Finance, and Business PhD Scholars & Researchers preparing econometric models for publications Policy Analysts & Data Professionals applying econometrics in real-world decision-making By the End of This Course, you will be able to confidently analyze time series and panel data, detect econometric issues, apply advanced models, and present results like a professional researcher. Course Pricing Current price: €19.99 30-Day Money-Back Guarantee Full Lifetime Access Instructor Dr. Nasir Munir is an Assistant Professor at SZABIST University.
disambiguating description: Master Econometrics from Basics to Advanced: OLS, ARDL, VAR, GARCH, Cointegration, Causality & Panel Data Analysis.
date posted: 2025-10-01T08:10:27Z
date modified: 2026-05-09T08:10:45Z
hiring organization: Udemy
job location type: TELECOMMUTE
employment type: online
language: en
keywords: EViews
keywords: econometrics
keywords: data analysis
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://trk.udemy.com/PODeke

Microeconomics: The Power of Markets (Online Course)
type: Course
title: Microeconomics: The Power of Markets (Online Course)
description: Instructor: Rebecca Stein 5 modules Gain insight into a topic and learn the fundamentals. 4.7 (1,638 reviews) 2 weeks to complete at 10 hours a week Flexible schedule; Learn at your own pace 95% Most learners liked this course Skills you'll gain: Resource Allocation, Economics, Market Analysis, Policy Analysis, Supply And Demand, Market Dynamics, Decision Making, Tax, Consumer Behaviour, Cost Benefit Analysis Details to know Shareable certificate Add to your LinkedIn profile Assessments 18 assignments Taught in English 22 languages available Course Modules: The Concept of Scarcity: 2 hours to complete Specialization & Trade: 1 hour to complete Supply and Demand: 3 hours to complete Understanding Markets: Elasticities, Market Surplus, Efficiency, and Equity: 3 hours to complete When Government Intervenes: 3 hours to complete This course is an introduction to the microeconomic theory of markets: why we have them, how they work, what they accomplish. We will start with the concept of scarcity and how specialization according to comparative advantage helps us achieve more than we could alone. Next, we model a market using the tools of Supply and Demand and learn what well-working markets accomplish and what their limits are. We end by exploring the impact of government intervention on perfect markets. Examples are taken from everyday life, from goods and services that we all purchase and use. We will apply the theory to current events and policy debates through weekly exercises, empowering you to be an educated, critical thinker who can understand, analyze, and evaluate market outcomes. Instructor Instructor ratings: 4.8 (313 ratings) Rebecca Stein, University of Pennsylvania 3 Courses • 117,222 learners Offered by University of Pennsylvania Recommended Microeconomics: Foundations and Insights Microeconomics: When Markets Fail Course rating 1,638 reviews 5 stars: 79.42% 4 stars: 17.15% 3 stars: 2.62% 2 stars: 0.42% 1 star: 0.36%
disambiguating description: Instructor: Rebecca Stein. Enroll for free.
date posted: 2025-10-10T14:04:52Z
date modified: 2026-04-11T07:10:45Z
hiring organization: Coursera
job location type: TELECOMMUTE
employment type: online
language: en
keywords: online course
keywords: microeconomics
type: course
disciplines: microeconomics
disciplines: economics
disciplines: socialscience
discipline labels: Microeconomics (JEL D)
discipline labels: Economics
discipline labels: Economics and Social Sciences
more info url: https://imp.i384100.net/EKobB9

Python and Statistics for Financial Analysis
type: Course
title: Python and Statistics for Financial Analysis
description: Instructor: Xuhu Wan Course Details 4 modules Flexibility: 1 week at 10 hours a week, learn at your own pace Intermediate level Taught in English, available in 29 languages (AI Translation) Skills You'll Gain Data Visualization Financial Trading Statistical Analysis Data Import/Export Statistical Inference Regression Analysis Financial Data Financial Modeling Jupyter Model Evaluation Course Overview Python is now becoming the number 1 programming language for data science, especially in the financial industry. This course combines both Python coding and statistical concepts and applies them to analyze financial data, such as stock data. Objectives By the end of the course, you can achieve the following using Python: Import, pre-process, save, and visualize financial data into pandas Dataframe. Manipulate financial data by generating new variables using multiple columns. Apply key statistical concepts into financial contexts. Build and evaluate a trading model using linear regression. Course Structure Module 1: Visualizing and Munging Stock Data - 3 hours to complete Module 2: Random Variables and Distribution - 2 hours to complete Module 3: Sampling and Inference - 3 hours to complete Module 4: Linear Regression Models for Financial Analysis - 4 hours to complete Instructor Xuhu Wan from The Hong Kong University of Science and Technology. Additional Information There are 5 assignments included in this course. Enroll now for free!
disambiguating description: Enroll in this course to gain essential skills in Python and statistics for financial analysis.
date posted: 2025-12-30T11:02:49Z
date modified: 2025-12-31T13:27:15Z
hiring organization: Hong Kong University of Science and Technology
job location: Place
  address: PostalAddress
    address country: HK
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Data Science
keywords: Finance
keywords: Statistical Analysis
keywords: Python
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: finance
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Finance
more info url: https://imp.i384100.net/6y0AbQ

MOE START Scheme (Early Career Awards) - Business, Communication and Design
type: JobPosting
title: MOE START Scheme (Early Career Awards) - Business, Communication and Design
description: At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence. In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses. The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT. The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria Singapore Citizen Recently completed postdoctoral training Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas Strong passion for teaching, research and an academic career Benefits Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship. Awardees will also be…
disambiguating description: The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT.
date posted: 2025-09-05T08:00:00Z
date modified: 2025-09-05T08:00:00Z
valid through: 2026-10-01T21:59:59Z
job location: Place
  address: PostalAddress
    address locality: Singapore
    address country: SG
job location type: TELECOMMUTE
employment type: online
language: en
keywords: economic
type: job
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
more info url: https://career44.sapsf.com/careers

Game Theory II: Advanced Applications
type: Course
title: Game Theory II: Advanced Applications
description: Course offered by: Stanford University In the first week we consider the problem of aggregating different agents' preferences, discussing voting rules and the challenges faced in collective decision making. We present some of the most important theoretical results in the area: notably, Arrow's Theorem, which proves that there is no "perfect" voting system, and also the Gibbard-Satterthwaite and Muller-Satterthwaite Theorems. We move on to consider the problem of making collective decisions when agents are self interested and can strategically misreport their preferences. We explain "mechanism design" -- a broad framework for designing interactions between self-interested agents -- and give some key theoretical results. Our third week focuses on the problem of designing mechanisms to maximize aggregate happiness across agents, and presents the powerful family of Vickrey-Clarke-Groves mechanisms. The course wraps up with a fourth week that considers the problem of allocating scarce resources among self-interested agents, and that provides an introduction to auction theory.
disambiguating description: Popularized by movies such as "A Beautiful Mind", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Over four weeks of lectures, this advanced course considers how to design interactions between agents in order to achieve good social outcomes. Three main topics are covered: social choice theory (i.e., collective decision making and voting systems), mechanism design, and auctions.
date posted: 2020-03-28T13:00:00Z
date modified: 2025-06-28T13:50:45Z
hiring organization: Coursera
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Stanford University
keywords: game theory
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://imp.i384100.net/Py304M

Introduction to Sustainable Finance (Online Course)
type: Course
title: Introduction to Sustainable Finance (Online Course)
description: We will analyze approaches to sustainable finance, evaluate the correlation between risk and return, and gain insight into the vital features responsible for successfully meeting environmental and social initiatives. We will also explore and evaluate the role of the public sector in sustainable finance, and analyze disruptive trends and the innovations necessary to manage them. At the end of this course, you will complete a case study that outlines how your organization can create your own sustainable finance initiatives and how you can be a key player in meeting those goals. Become a Sustainable Finance expert with a purpose by learning to integrate people, profits, and the planet into the bottom line. Who this course is for: Finance professionals currently in the industry, as well as those seeking to break in, will gain insight into how to best invest capital in order to promote a sustainable future. Instructor: Dominick Mitchell Dominick Mitchell is a leading expert in sustainable finance, with a passion for finance, international development, and sustainability. He has been recognized as the Youth Entrepreneur of the Year and has written a book on the topic, Finance Made Sustainable. In his work, Dominick assists social enterprises with their sustainable finance initiatives, helping them to solve social problems through engagement with the private sector. He also manages WVÉS, a water-focused impact fund that supports investees in achieving both social and financial returns. Dominick's ultimate goal is to mobilize the private sector to become more sustainably conscious and inclusive on a global scale.
disambiguating description: Finance is widely seen as an obstacle to a better world. Financial services make up one of the economy's most important and influential sectors globally. Although results vary, most estimates place the financial services sector at around 20-25% of the world economy. Finance fosters growth, promotes entrepreneurship, favors education, alleviates poverty, and reduces inequality. In this online course, you will learn the essential role the financial system plays in reaching the United Nations Sustainable Development Goals and creating a globally sustainable economy. Students will learn how the current financial systems run, the factors that impact them, and the circulation of capital.
date posted: 2025-06-25T07:39:55Z
date modified: 2025-10-01T08:01:40Z
hiring organization: Udemy
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Sustainable Finance
keywords: Online Course
keywords: Online Course Sustainable Finance
keywords: Udemy
type: course
disciplines: economics
disciplines: socialscience
disciplines: economicdevelopmentgrowth
disciplines: agriculturalenvironmentaleconomics
disciplines: finance
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: Finance
more info url: https://trk.udemy.com/2aNogQ