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Post Graduation & Recherche

Laboratory for Modelling Stochastic Phenomena (LaMoPS)

Laboratory Description:

The "Laboratoire de Modélisation des Phénomènes Stochastiques" focuses on utilizing and developing advanced mathematical and statistical models to analyse and understand time-varying random phenomena. The laboratory aims to build precise quantitative tools and probabilistic models that contribute to supporting decision-making mechanisms, risk assessment, and trend forecasting in multiple fields, particularly in economics, finance, and actuarial sciences.

Research Teams and Descriptions

Financial and Actuarial Risk Modelling Team
Time Series Analysis and Macroeconomic Forecasting Team
Stochastic Processes and Applications in Operations Research Team
Mathematical Statistics and Big Data Analysis Team
Applied Econometrics and Modelling of Random Phenomena Team
Financial and Actuarial Risk Modelling Team

Analyses intra-regional trade flows and the impact of international agreements on the foreign trade structures and economies of member states.

Time Series Analysis and Macroeconomic Forecasting Team

Specializes in applying complex time series techniques to analyse economic fluctuations and provide precise forecasts for macroeconomic indicators such as inflation and growth.

Stochastic Processes and Applications in Operations Research Team

Employs probability theory and random processes to optimize complex systems and support decision-making in highly uncertain environments.

Mathematical Statistics and Big Data Analysis Team

Develops statistical inference methods to handle Big Data, extracting hidden patterns to enhance economic and predictive modelling.

Applied Econometrics and Modelling of Random Phenomena Team

Integrates economic theory with econometric methods to explain random economic behaviours and build analytical models that inform public policy.

Laboratory of Regional Integration and European Union (LIRUE)

Laboratory Description:

The "Laboratoire d'Intégration Régionale et Union Européenne" is dedicated to studying and analysing the mechanisms, challenges, and prospects of regional economic integration. The lab focuses specifically on the European Union's integration model and its geopolitical and economic impacts on neighbouring countries and strategic partners. It is concerned with analysing trade and monetary policies, as well as structural partnerships.

Research Teams and Descriptions

Dynamics of Economic and Trade Integration Team
Evaluation of the Euro-Mediterranean Partnership and Macroeconomic Impacts Team
Monetary and Financial Policies in Regional Blocs Team
Development Economics and Structural Convergence Team
Factor Mobility and Brain Drain Team
Dynamics of Economic and Trade Integration Team

Focuses on developing advanced stochastic models to assess and manage uncertainties in financial markets, price derivatives, and analyse risks within the insurance sector.

Evaluation of the Euro-Mediterranean Partnership and Macroeconomic Impacts Team

Conducts quantitative and qualitative evaluations of the Euro-Med partnership agreements and their specific macroeconomic repercussions on Southern Mediterranean countries.

Monetary and Financial Policies in Regional Blocs Team

Studies the synchronization of monetary policies and financial integration within economic blocs, assessing their impact on exchange rate stability.

Development Economics and Structural Convergence Team

Investigates the mechanisms of economic convergence and the reduction of developmental gaps between advanced and developing nations within regional integration frameworks.

Factor Mobility and Brain Drain Team

Examines cross-border capital flows and labor mobility, with a special emphasis on the economic consequences of the brain drain phenomenon.

Laboratory of Governance, Institutional Economics and Sustainable Growth (LGEICD)

Laboratory Description:

The "Laboratoire de Gouvernance, Économie Institutionnelle et Croissance Durable" specializes in researching the pivotal role of institutions and governance systems in achieving sustainable economic development. Researchers in this lab focus on analysing the quality of institutional frameworks, transparency, and economic and environmental transition policies. It also studies the impact of governance practices on financial performance and meeting the requirements of a green economy.

Research Teams and Descriptions

Corporate Governance and its Impact on Economic Performance Team
Environmental Economics and Transition Requirements for a Low-Carbon Economy Team
Data Governance in Public Institutions and Higher Education Team
Public Policy Evaluation and Sustainable Development Indicators Team
Institutional Economics and Efficiency Analysis of Financial Systems Team
Corporate Governance and its Impact on Economic Performance Team

Studies how corporate governance structures and practices influence firm valuation, financial performance, and market transparency.

Environmental Economics and Transition Requirements for a Low-Carbon Economy Team

Focuses on green innovation policies and eco-friendly technological advancements to ensure a smooth transition toward a low-emission economy.

Data Governance in Public Institutions and Higher Education Team

Researches the necessary frameworks and policies for institutional data governance to enhance the efficiency of university administration and public institutions.

Public Policy Evaluation and Sustainable Development Indicators Team

Specializes in designing and constructing econometric indices to assess the effectiveness of government policies in achieving multifaceted sustainable development goals.

Institutional Economics and Efficiency Analysis of Financial Systems Team

Analyses the role of institutional quality (legal, legislative, and regulatory) in determining the efficiency and stability of banking and financial systems.

Laboratory of Applied Statistics (LaSAP)

Laboratory Description:

The "Laboratoire de Statistique Appliquée" is dedicated to developing and applying advanced statistical methodologies and econometric models to process and analyse complex data across various economic, financial, and social fields. The laboratory strives to provide precise quantitative solutions based on data mining to assist in policy evaluation and institutional performance enhancement by integrating modern statistical techniques with machine learning algorithms.

Research Teams and Descriptions

Applied Econometrics and Panel Data Modelling Team
Statistical Machine Learning and Predictive Algorithms Team
Financial Statistics, Bank Performance, and ESG Modelling Team
Statistical Analysis of Environmental Data and Low-Carbon Economy Team
Social Statistics, Demography, and Survey Analysis Team
Applied Econometrics and Panel Data Modelling Team

Relies on advanced econometric techniques to address heterogeneity and endogeneity issues in economic models.

Statistical Machine Learning and Predictive Algorithms Team

Merges statistical models with artificial intelligence algorithms to enhance forecasting accuracy and improve complex data mining.

Financial Statistics, Bank Performance, and ESG Modelling Team

Models bank market values and evaluates financial performance by integrating the impact of Environmental, Social, and Governance (ESG) criteria.

Statistical Analysis of Environmental Data and Low-Carbon Economy Team

Applies spatial and statistical analysis tools to evaluate environmental data and the impact of emissions on economic growth trajectories.

Social Statistics, Demography, and Survey Analysis Team

Focuses on analysing demographic data and social surveys using multivariate analysis techniques to deeply understand societal transformations.

Laboratory of Quantitative Economics Applied to Development (LEQAD)

Laboratory Description:

The "Laboratoire d'Economie Quantitative Appliquée au Développement" is dedicated to employing state-of-the-art quantitative and econometric methods to analyse complex issues of economic development and growth. The laboratory aims to study the determinants of growth and evaluate macroeconomic and institutional policies using advanced econometric models alongside modern data science techniques. Researchers focus on integrating technological, institutional, and environmental variables to measure sustainable development.

Research Teams and Descriptions

Information and Communication Technologies (ICT) and Economic Growth Team
Development Economics and Institutions Team
Macroeconomic Analysis Applied to Growth Team
Prospective Analysis of Economic Growth in Algeria Team
Data Science, Econometrics, and Sustainable Development Modelling Team
Information and Communication Technologies (ICT) and Economic Growth Team

Studies the quantitative impact of digitalization, the knowledge economy, and technological infrastructure as catalysts for modern economic growth.

Development Economics and Institutions Team

Investigates the causal relationship between institutional quality (political, legal, and economic) and developmental pathways in emerging and developing economies.

Macroeconomic Analysis Applied to Growth Team

Relies on dynamic modelling techniques to analyse long- and short-term relationships and identify the macroeconomic variables driving growth.

Prospective Analysis of Economic Growth in Algeria Team

Dedicated to conducting strategic foresight studies and building accurate future scenarios specifically tailored to understand the challenges and prospects of the Algerian economy.

Data Science, Econometrics, and Sustainable Development Modelling Team

Operates at the intersection of data science and econometrics to build sophisticated models capable of accurately measuring and monitoring sustainable development indicators.

Contact

Koléa University Campus, Tipaza - Algeria
+213 (0) 24-38-00-24
contact@enssea.dz

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