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Fifth International Women in Data Science(WiDS) Conference

The Conference will be organized by Prince Sultan University(PSU), Artificial Intelligence & Data Analytics (AIDA) Lab, in collaboration with Stanford University. The conference aims to foster the interest and professional participation of women in not only data science but also in engineering and computer science as a whole. WiDS PSU 2022 will bring together high profile international researchers and industry pioneers. Prince Sultan University (PSU) is the WiDS Ambassador, for Stanford and the conference aims to expose the latest data science research and practices in the Arab Middle East by promoting the exchange of ideas, encouraging mentorship, and interdisciplinary collaboration in line with technological advances in the Kingdom under the umbrella of the Saudi Vision 2030.



WiDS PSU 2022

The Conference will provide an opportunity for national and international researchers to present their novel research findings and exchange information with the research community. It will bring along specialists, leading researchers, scholars, scientists, professors from fields of computer science, technology, engineering science, business, education and alternative connected areas to act and exchange ideas concerning the state of the art technologies associated with artificial intelligence, IoT & big data analytics.WiDS PSU will comprise of oral sessions, keynote speeches, technical workshops, panel discussions, best regular paper & poster awards, Poster shows, video shows by the specialists in AI, Data Science and IoT domains. The conference will feature vision talks by distinguished speakers from academia, with female data scientists and researchers, and networking opportunities. All genders are invited to participate in the conference.

The conference will feature vision talks by distinguished speakers from academia, with female data scientists and researchers, and networking opportunities. All genders are invited to participate in the conference.


Significance of WiDS at Prince Sultan University

The Global WiDS conference aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. This one-day technical conference provides an opportunity to hear about the latest data science-related research and applications in a number of domains, and connect with others in the field.

  • - Promote a higher representation of women in data science.
  • - Expose the latest data science research and practices in the Arab Middle East.
  • - Exchange ideas, encourage mentorship and interdisciplinary collaboration.
  • - Connect regional researchers and practitioners to pioneering global data science networks.
  • - Data science is an interdisciplinary field transforming all industries and one of the hottest growing fields globally.
  • - Women in the region have strong quantitative and analytical skills but need guidance and support to pursue careers in data science.
  • - PSU is the first university to address data science in the Kingdom.
  • - A partnership with the Stanford Institute for Computational and Mathematical Engineering @ Stanford.
  • - A global event represented by PSU in the Kingdom of Saudi Arabia and the Arab MENA region.

Important Dates

November 24, 2021 Paper Submission Open.

February 1, 2022 Full paper submission deadline.

February 25, 2022 Acceptance Notification.

March 5, 2022. Camera Ready Paper Submission

March 10, 2022 Paper Registration.

March 28-29 , 2022 Conference Dates.

CONFERENCE

Topics

We focus on challenges and applications of all fields: computer science, computational biology, social science, economics, medicine, physics, chemistry, law, engineering, mathematics, digital humanities, etc in the fields of data science.

  • Track 1:Artificial Intelligence: Current Applications & Future Challenges.
  • Track 2:Big Data Analytics, Data Visualization & Forecasting.
  • Track 3:Data Science & Data Analytics Applications .
  • Track 4:Data Science Application in Healthcare; Renewable Energy; IoT, Cybersecurity; Education; Smart Agriculture; Business; and Digital Humanities .

CONFERENCE

Submission Guidelines

  • Full papers: should describe original and unpublished work about the above or related topics. All manuscripts will be reviewed by three members of the program committee. Authors are invited to submit their papers in English of up to 6 double-column pages IEEE format, with up to 2 extra pages with additional fees. The format of the paper should follow IEEE guidelines for the two-column IEEE-sponsored conference proceedings. Templates for Microsoft Word and LaTeX are available here. Authors may use the online submission system hosted by EasyChair Conference System to submit their papers. The submission Web page for WiDS PSU 2022 can be found here, https://easychair.org/cfp/WiDSPSU2022 .
  • Authors can submit up to 6 pages for full paper (including references) and up to 4 pages for short/poster paper (including references) as per IEEE guidelines.
  • Paper submissions can have multiple authors (of any gender), but at least one author of each accepted paper must be identified as a woman, who is expected to present the paper at the conference.
  • All papers must be original and not simultaneously submitted to another journal or conference. Accepted papers should not have more than 15% of similarity.
  • Registration Fee of 150$ is required.
Proceedings and indexing

All accepted and presented papers will be indexed in IEEE Xplore (Digital Library) for conference proceedings publication. The conference proceedings will be submitted to: Scopus

For poster competition

We welcome poster submissions that present original ideas and research in any fields using or developing data science methods (e.g.: computational biology, social science, economics, computer science, mathematics, digital humanities ...etc).

Poster submissions can have multiple authors (of any gender), but at least one author of each accepted poster must be identified as a woman. Our call is open for women in data science in academia and in industry too.

Dr.Ahmed Al-Yamani

Honorary Program Chair

President, Prince Sultan University, Riyadh, KSA

Dr.Heba Khoshaim

Program Executive Chair

Vice President, Female Campus; Acting Vice Dean, Deanship of Admission & Registration; Executive AIDA Lab Member, Prince Sultan University, Riyadh, KSA

Dr. Rimah Al Yahya

Distinguished Speaker

Member Shoura Council, KSA

Prof.Tanzila Saba

Program Chair

WiDs Ambassador Prince Sultan University, Women in Data Science, Leader Artificial Intelligence and Data Analytics(AIDA) Lab; Associate Chair, Information Systems Dept, College of Computer and Information Sciences,Prince Sultan University, Riyadh, Saudi Arabia

Ms Fatima Khan

Program Organizing Chair

WiDs Co-Ambassador; Associate Director Evaluation and Academic Accreditation Center; Research Member AIDA Lab,Prince Sultan University, Riyadh, Saudi Arabia

Committees

Committees

Datathon Committee

Dr.Tanzila Saba Prince Sultan University, Riyadh, Saudi Arabia
Ms Erum Afzal NUST University, Islamabad, Pakistan<
Ms. Fatima Khan Prince Sultan University, Riyadh, Saudi Arabia

Local Organizing Committee

Dr.Amerah AlGhanim Prince Sultan University, Riyadh, Saudi Arabia
Dr.Suliman Fati Prince Sultan University, Riyadh, Saudi Arabia
Ms Farah Obeid Prince Sultan University, Riyadh, Saudi Arabia

Publication Chairs

Dr.Rehman Khan Prince Sultan University, Riyadh, Saudi Arabia
Dr.Tanzila Saba Prince Sultan University, Riyadh, Saudi Arabia
Dr.Nor Shahida Jamail Prince Sultan University, Riyadh, Saudi Arabia
Dr.Rabia Latif Prince Sultan University, Riyadh, Saudi Arabia

Workshops & Posters Committee

Dr.Rehman Khan Prince Sultan University, Riyadh, Saudi Arabia
Dr.Tanzila Saba Prince Sultan University, Riyadh, Saudi Arabia
Dr.Nor Shahida Jamail Prince Sultan University, Riyadh, Saudi Arabia
Dr.Rabia Latif Prince Sultan University, Riyadh, Saudi Arabia

Publicity Chairs

Dr.Fahdah Thunyan Prince Sultan University, Riyadh, Saudi Arabia

IEEE Liaison Committee Chairs

Dr. Mohammad Almuhini Prince Sultan University, Riyadh, Saudi Arabia
Dr. Rehman Khan. Prince Sultan University, Riyadh, Saudi Arabia

Committees

Program Advisory Board

Dr.Mohamed Alkanhal

Dean, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

Dr. Eva-Marie Muller-Stuler

CTO AI, Chief Data Scientist MEA, IBM Academy of Technology member, UAE

Dr. Wafa Al-Nasrullah.

Vice Dean,College of Business Administration, Prince Sultan University, Riyadh, Saudi Arabia

Dr. Hoshang Kolivand

Associate Professor, Liverpool, England, United Kingdom

Prof. Maysaa Al-Qurashi

Vice President of Planning, Development and Quality at Saudi Electronic University, Saudi Arabia

Dr. Connie Mitchell

Vice Dean, College of Humanities & Sciences, Director of TLC, Prince Sultan University, Saudi Arabia

Dr.Gabriella Casalino

Università degli Studi di Bari, Apulia, Italy

Committees

Program Chair

Prof.Tanzila Saba

WiDs Ambassador Prince Sultan University, Women in Data Science, Leader Artificial Intelligence and Data Analytics(AIDA) Lab;Associate Chair, Information Systems Dept, College of Computer and Information Sciences,Prince Sultan University, Riyadh, Saudi Arabia

Committees

Program Organizing Chair

Ms Fatima Khan

WiDs Co-Ambassador; Associate Director Evaluation and Academic Accreditation Center; Research Member AIDA Lab,Prince Sultan University, Riyadh, Saudi Arabia

Committees

Keynote Speakers

Dr.Sharifa Alrajhi

General Manager for Education Statistics Center and Decision Support at Ministry of Education, Saudi Arabia

Dr.Najwa Alghamdi

Lead Data Scientist, Analytics Center of Excellence Saudi Telecom Company STC

Dr. Mona Al-Fedily

Director of Policy & Legislative Development, Ministry of Communication and Information Technology(MCIT)

Dr. Alia Omar Bahanshal.

A Director of the National Center For Data Analytics and Artificial Intelligence(KACST)

Dr.Fatimah Alakeel.

Cybersecurity Consultant, Founder and CEO of CIAG Information, KSA

ADr. Alia Omar Bahanshal.

A Director of the National Center For Data Analytics and Artificial Intelligence(KACST)

Dr.Salma Alsinan

Geophysicist, Aramco, KSA

Registraton

REGISTRATION FORM

Contact

Contact Us

Location:

​Prince Sultan University (PSU). P.O.Box No. 66833 Rafha Street, Riyadh 11586,Saudi Arabia

Call:

+966 - 11 - 494-8000

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