Special Issue "Artificial Intelligence for Policy Analysis, Governance and Society (AI-PAGES)"

A special issue of Social Sciences (ISSN 2076-0760).

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editor

Dr. Feras A. Batarseh
Guest Editor
College of Science, George Mason University

Special Issue Information

AI-PAGES is an interdisciplinary Special Issue that is focused on utilizing, redefining, improving, and evaluating artificial intelligence (AI) paradigms for policy making, governance, and society.

AI paradigms include (but are not limited to): machine learning, data mining, deep learning, text mining, reinforcement learning, computer vision, causal learning, context, knowledge-based systems, robotics, and natural language processing.

We invite high-quality, original, scholarly research manuscripts that introduce AI-based methods in economics, trade, finance, law, technology, healthcare, agriculture, defense, education, and transportation. We also invite submissions that present novel data-driven social sciences’ methods, as well as submissions of use-cases and deployments from institutions such as the federal government, state governments, institutes of public education and public health, international organizations, and any other venue or agency of governance. Other accepted areas include data science, data democracy, open data, data privacy, and other data-related topics. This Special Issue will include submissions that are based on rigorous, high-quality quantitative, qualitative, or mixed research methods. The submitted work has to generate new insights into the field, and help policy and decision makers in creating and analyzing data-driven policies.

A statement on Open Access:

This Special Issue adopts open science practices. Accordingly, unless there are contractual obligations, the research building blocks of your work are expected to be submitted with the paper (in case it is considered for publishing); these items include the following:

  1. Raw and cleaned datasets used in the experiment
  2. Assumptions and pre-conditions of the experiment
  3. Code/scripts
  4. Software tools and packages utilized
  5. Other environmental factors that influence the outcomes

By providing unrestricted access to the latest research works and their parts, we can collectively accelerate AI’s scientific discovery, ensure transparency, provide means of reproducibility, and construct a fair system of knowledge that is open to all.

Dr. Feras A. Batarseh
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as case reports are invited.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except workshop papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Social Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Artificial intelligence
  • AI applications
  • Policy making
  • AI for policy
  • Policy scenarios
  • AI for society
  • Data science
  • Governance
  • Policy analytics
  • Big data analytics

Published Papers

This special issue is now open for submission.
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