Top 10 Must-Read Data Science Research Papers in 2022

Data Science plays a vital role in many sectors such as small businesses, software companies, and the list goes on. Data Science understands customer preferences, demographics, automation, risk management, and many other valuable insights. Data Science can analyze and aggregate industry data. It has a frequency and real-time nature of data collection.

There are many data science enthusiasts out there who are totally into Data Science. The sad part is that they couldn't follow up with the latest research papers of Data Science. Here, Analytics Insight brings you the latest Data Science Research Papers. These research papers consist of different data science topics including the present fast passed technologies such as AI, ML, Coding, and many others. Data Science plays a very major role in applying AI, ML, and Coding. With the help of data science, we can improve our applications in various sectors. Here are the Data Science Research Papers in 2024

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The Research Papers Includes

Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks

The research paper is written by April Yi Wang, Dakuo Wang, Jaimie Drozda, Michael Muller, Soya Park, Justin D. Weisz, Xuye Lui, Lingfei Wu, Casey Dugan.

This research paper is all about AMC transactions on Computer-Human Interaction. This is a combination of code and documentation. In this research paper, the researchers have Themisto an automated documentation generation system. This explores how human-centered AI systems can support data scientists in Machine Learning code documentation.

Assessing the effects of fuel energy consumption, foreign direct investment and GDP on CO2 emission: New data science evidence from Europe & Central Asia

The research paper is written by- Muhammad Mohsin, SobiaNaseem, Muddassar Sarfraz Tamoor, Azam

This research paper deals with how bad the effects of fuel consumption are and how data science is playing a vital role in extracting such huge information.

Impact on Stock Market across Covid-19 Outbreak

The research paper is written by-CharmiGotecha

This paper analyses the impacts of a pandemic from 2019-2022 and how it has affected the world with the help of data science tools. It also talks about how data science played a major role in recovering the world from covid losses.

Exploring the political pulse of a country using data science tools

The research paper is written by Miguel G. Folgado, Veronica Sanz

This paper deals with how data science tools/techniques are used to analyses complex human communication. This study paper is an example of how Twitter data and different types of data science tools for political analysis.

Situating Data Science

The research paper is written by-Michelle HodaWilkerson, Joseph L. Polman

This research paper gives detailed information about regulating procurement understanding the ends and means of public procurement regulation.

VeridicalFlow: a Python package for building trustworthy data science pipelines with PCS

The research paper is written by- James Duncan, RushKapoor, Abhineet Agarwal, Chandan Singh, Bin Yu

This research paper is more of a journal of open-source software than a study paper. It deals with the open-source software that is the programs available in the systems that are related to data science.

From AI ethics principles to data science practice: a reflection and a gap analysis based on recent frameworks and practical experience

The research paper is written by-IlinaGeorgieva, ClaudioLazo, Tjerk Timan, Anne Fleur van Veenstra

This study paper deals with the field of AI ethics, its frameworks, evaluation, and much more. This paper contributes ethical AI by mapping AI ethical principles onto the lifestyle of artificial intelligence-based digital services or products to investigate their applicability for the practice of data science.

Building an Effective Data Science Practice

The research paper is written by Vineet Raina, Srinath Krishnamurthy

This paper is a complete guide for an effective data science practice. It gives an idea about how the data science team can be helpful and how productive they can be.

Detection of Road Traffic Anomalies Based on Computational Data Science

The research paper is written by Jamal Raiyn

This research paper gives an idea about autonomous vehicles will have control over every function and how data science will be part of taking full control over all the functions. Also, to manage large amounts of data collected from traffic in various formats, a Computational Data Science approach is proposed by the researchers.

Data Science Data Governance [AI Ethics]

The research paper is written by Joshua A. Kroll

This paper analyses and gives brief yet complete information about the best practices opted by organizations to manage their data which encompass the full range of responsibilities borne by the use of data in automated decision making, including data security, privacy, avoidance of undue discrimination, accountability, and transparency.