Gender gap in computer science does not exist in one former soviet republic

Despite great effort in research and teaching as well as in raising women’s quotas in the public sector and in enterprises, a gender gap in computer science can still be observed. The reasons are manifold, including the lack of interest of girls because of existing stereotypes of male nerds, misconceptions in the field of computer science, and concrete differences in students’ self-concept and performance. Girls do not choose schools or studies in the field of computer science because working on computers or coding is unattractive to them. Research shows poorer performance, missing interest, and lower self-concept for girls in secondary computing education as well as a high dropout rate of female students in computer science courses at the bachelor’s level. Software development exams contribute to those high dropout rates, and women often choose a different subject or even stop their university education altogether. This leads to fewer female employees in the field of computer science, and this situation calls for special measures at several levels. The current paper provides an overview of the initiatives of our university that aim to address several aspects of the gender gap. The programs offered aim to (1) increase interest in computer science and recruit (highly) gifted girls for our talent programs, (2) recruit and support female bachelor’s and master’s students in computer science, and (3) redesign programming courses and teaching materials to reduce the gender gap in performance and support, especially for female students. This study also describes a cyber tutoring program in which highly gifted girls between 13 and 16 years collaborate with and are supervised by female role models in higher positions in STEM. The evaluation results gained in the first year of this case study are promising and suggest that the extension and further development of the program would be advantageous.

Assalamu’alaikum Wr. Wb. and Greetings.I am pleased and honored to welcome you at the First International Conference on Computer Science and Applied Mathematic (ICCSAM 2018), which was held this year by AMIK and STIKOM Tunas Bangsa Pematangsiantar in collaboration with the Indonesian Computer and Information Professional Association (IPKIN), Indonesian Mathematical Society (INDOMS) and Bank Muamalat. As Chair of the Foundation, I would like to convey a greeting Welcome to Parapat City Lake Toba to presenters from various countries and especially those I respect for the presence of scientists in the field of Computer and Mathematical Sciences and industry practitioners in the 2018 ICCSAM event.I see that this activity is designed to enhance the exchange of knowledge and new discoveries in computer science and mathematics and related fields in industry. I hope that scientists in the field of computer science and mathematics and those who work in the industry can share knowledge and work together as a team that has mutual relations with each other. I am very pleased to say that the theme of this conference, “Advancing Computability Innovation” is very much in line with the objectives of AMIK and STIKOM conferences and missions, namely “to become a Science and Technology based Study Program that meets industrial needs and functions as a research center in Information Data Science. The conference was held in response to output and aoutcame which had a significant contribution in the field of computer science and mathematics as an inseparable unit of science towards the development of local and global industries. It is our happiness and honor to welcome distinguished professors present to convey their expertise at this conference.I hope this meeting will enable the development of productive dialogue between participants from various countries. They also provide invaluable opportunities for networking among participants, institutions and industries. I also hope that diversity in these fields can reveal more opportunities for researchers and practitioners from all over the world to start a lot of research related to the industry in the future.I would like to congratulate AMIK and STIKOM Tunas Bangsa for starting this conference with a synergistic contribution from dedicated partners namely the USU Faculty of Mathematics and Natural Sciences, USU’s Faculty of Computer and Information Technology, the Indonesian Computer and Informatics Professional Association (IPKIN), Indonesian Mathematical Society (INDOMS), Bank Muamalat, Malaysia Pahang University (UMP), University of Essex, United Kingdom, Ankara, Turkey and Institute of Applied Mathematics Middle East Technical University to all delegates for their full support, cooperation and contribution to the 2018 ICCSAM. I also want to thank the Organizing Committee for their perseverance and extraordinary efforts. Various sponsors are also rewarded for their contributions. I really hope that all participants will get a pleasant stay here at NIAGARA HOTEL and bring back unforgettable experiences and valuable knowledge from this conference.Thanks.H. Ahmad Ridwansyah Putra

In the first years of the 21st century a lot of educative innovation has been developed. One of the most relevant innovations for higher education institutions are the Massive Open On-line Courses (MOOC). In the field of Computer and Information Sciences, a lot of MOOC have been performed. In this paper we analyze the courses that are available in Coursera, one of the most popular platforms for delivering MOOC. Our intention is to assess to which extent the subjects suggested for the careers of Computer and Information Sciences are covered by the courses in Coursera. Despite the fact that are many courses in certain subjects, our results show that some subjects are not very well covered. Another conclusion that can be elicited from our analysis is that there are strong relationships among the courses that are available in Coursera. Key Words Massive Open On-line Courses (MOOC), Distance education, Computer Science.

Welcome to the proceedings of the 2023 International Conference on Advances in Computer Science and Engineering Technology (ACSE 2023), held from July 29 to 30 in Guangzhou, China. These proceedings are a compilation of the valuable research contributions and innovative ideas presented during the conference, showcasing the latest advancements in the fields of computer science and engineering technology.As we navigate the complexities of the modern world, computer science and engineering technology have emerged as indispensable tools in addressing challenges and creating new possibilities. Our collective efforts, expertise, and willingness to embrace change are vital in harnessing the potential of these transformative fields. ACSE 2023 provided a unique platform for researchers, academicians, professionals, and industry experts to come together and exchange their insights, experiences, and discoveries. The conference aimed to foster interdisciplinary discussions, explore emerging trends, and promote collaboration among individuals from various domains within the realm of computer science and engineering technology.This volume features a diverse collection of papers covering a wide range of topics, including but not limited to Artificial Intelligence, Machine Learning, Engineering and Simulation, Optimization, Control, and Algorithms and more. The contributions presented here reflect the dedication and enthusiasm of the research community in addressing the complex challenges and opportunities that our rapidly evolving technological landscape presents.The peer-reviewed papers presented in these proceedings undergo a rigorous evaluation process, ensuring the quality, originality, and significance of the research work. Each paper represents the author’s commitment to advancing their respective fields and contributing to the global body of knowledge.We extend our sincere gratitude to the conference organizers, the program committee, the reviewers, and all the authors who have contributed to these proceedings. Their hard work and dedication have been instrumental in making ACSE 2023 a success and enriching the academic discourse in the fields of computer science and engineering technology. Special thanks to the members of the Journal of Physics: Conference Series for making this Proceedings published, which ensures that the valuable insights shared during the conference will reach a broader audience and have a lasting impact on the advancement of science and technology.Once again, we welcome you to the proceedings of the 2023 International Conference on Advances in Computer Science and Engineering Technology and hope that this collection of research papers will both inform and inspire you in your own academic and professional pursuits. ACSE 2023 Organizing Committee List of Committee Members are available in this pdf.

We present our process and development of a web-based system to explore the publication networks of faculty in California public universities in the fields of computer science and electrical engineering. Our project explores collaboration networks in the fields of computer science and electrical engineering with a focus on publication networks and an analysis of these collaborations with a focus on geospatial organization (which institutions are collaborating with which other institutions). We present our data gathering process, which relies on the Scopus[9] database (Scopus represents a “comprehensive overview of the world’s scientific research output across all disciplines”), and we present the development of a web-based tool using python and the Google Maps API [12] in order to allow visualizations and explorations of geospatial structures of the publications networks. These visualizations drove further network analysis, which we present here as well.

Philosophy enriches and dynamizes a science in its development. The choice of a good philosophical system becomes an unproductive debate but is essential in gaining an understanding of the importance of developing a coherent and comprehensive framework of thought to understand social phenomena. This research is a scientific reflection on the question of the best choice of philosophical systems and the belief in the existence of absolute and relativistic philosophy. This scientific reflection uses a qualitative narrative method in a literature review to answer the research question. Based on the research results, the author sees that a philosophical system has a specificity in contributing to the field of life and science independently. The author also provides a review of answers to the choice of a philosophical system that is suitable for the Doctoral program in Computer Science, namely Information Systems. The answer to the existence of a coherent philosophical system that underlies human wisdom is presented by the author in this paper. This scientific reflection is expected to contribute to the science of knowledge, especially the philosophy of science and the application of research stages in the field of Computer Science. Further research needs to be done to obtain the accuracy of a philosophical system that is suitable for the research topic and other fields of science.

Veiled Figures: Pioneering Women Religious in the Sciences Jennifer A Head Traditionally, the term ‘Catholic Sister’ has conjured an image of either a cloistered woman in contemplative prayer or a woman in a habit, working as a nurse or teacher. Today that image has expanded to a woman wearing a cross around her neck and working in pastoral care, parish ministry or social justice movements. Rarely, if ever, does this image include a woman at the forefront of computer science, working with plutonium or providing flight instruction to future military pilots. This article explores some of the ‘hidden history’ of Catholic women religious in science.1 This hidden history of women religious includes the first female pharmacist in America, the creator of the first reasonably priced and easily constructed incubator for premature babies and one of the first women to receive a PhD in the field of computer science. Sisters were also pioneers in the fields of zoology, cytogenetics, astrophysics and the treatment of polio. In many cases, they were the first women granted advanced degrees from institutions previously only open to men. Many of these women were also strong advocates for the inclusion of women in the sciences – one even permitted her students to bring their children to class, if childcare was not available. The first two sisters I encountered were both Sisters of Charity of the Blessed Virgin Mary (BVMs): Sr Mary Kenneth Keller (1913–85) and Sr Mary Therese Langerbeck (1902–93). Mary Kenneth Keller (1913–85), computer scientist Sister Mary Kenneth Keller was among the first women to receive a PhD in computer science. She received her degree from the University of WisconsinMadison in 1964 and was the first person to receive such a degree from that educational institution. Sr Kenneth first became interested in the field of computer science while studying for a Master’s degree in Mathematics at DePaul University in the early 1950s. In 1958, she applied for a six-month National Science Foundation workshop at Dartmouth University’s Computer Veiled Figures: Pioneering Women Religious in the Sciences Studies • volume 107 • number 427 293 Center. She was the first woman permitted to work in the computer centre. As part of this workshop, she assisted in the development of BASIC – the first ‘easy to learn’ computer language. After receiving her PhD, she was appointed chair of the newly created computer science department at Clarke College (now Clarke University), a position she would hold for almost twenty years. At the time, Clarke was a women’s college, though it has since gone ‘co-ed’. Under Sr Kenneth’s leadership, the programme grew to include a master’s degree programme in Computer Applications in Education. The programme was also open to students from nearby Loras College, as well as to teachers, local business owners, bankers and others for whom computer use was beginning to be a workplace requirement. Sr Kenneth was among the first to recognise the future importance of computers, noting in 1964 that students in such fields as education, psychology and the sciences were already finding uses for computers in their academic pursuits. She and other members of the computer science faculty and staff wrote programmes to assist academic departments on campus. Chemistry students ran simulated experiments while psychology students used a programme to run a hypothetical ‘stat rat’ through a learning maze, saving time ‘both ours and the rat’s!’2 She also anticipated the importance computers would have in libraries, recognising that ‘its function in information retrieval will make it the hub of tomorrow’s libraries’.3 She believed that using a computer required two virtues: humility and patience. Humility, because the computer did not make mistakes – the programmer did. Patience was required in ‘de-bugging’ the programme and determining which lines of code created the mistakes.4 In addition to her responsibilities as a Clarke faculty member, Sr Kenneth authored four books in her field. She also served as a consultant for various governmental and civic groups including the State of Illinois and the City of Dubuque, Iowa. A fixture in the early ‘IT’ world of the Upper Mississippi River Valley, she once commented that ‘around Dubuque nobody buys a computer...

JAVMA, Vol 245, No. 4, August 15, 2014 D Juan Gilbert founded the concept of human-centered computing at Auburn University in 2000. Although the field of computer science was at that time— and largely still is—dominated by White males, Dr. Gilbert, currently a professor in the School of Computing and chair of the Division of Human-Centered Computing at Clemson University, attracted, assembled, and mentored a team of highly productive, successful, and impactful graduate students, most of whom were female and people of color. In 2012, Clemson led our country’s research institutions by having 10% of all Black or African American computer science faculty and doctoral candidates. The veterinary profession, the least diverse of all professions in the United States, is similar to the computer science profession, being a predominantly White profession with a growing gender imbalance. Unless a transformation occurs, veterinary medicine will soon lose its ability to serve our increasingly diverse society. We contend that one of the best ways to change the face of the veterinary profession is to emulate Dr. Gilbert and adopt a human-centered approach for the profession.

The purpose of this research is to examine the development and interrelationships between terms in computer science research using mapping analysis with VOSviewer. The research data was collected from the Google Scholar database for the period 2017-2021 using the Publish or Perish 7 application. Data collection was based on the keyword "Computer Science". The data search results found 992 articles that were considered relevant. The results showed that computer science research experienced high popularity in 2018 with a total of 232 articles. Computer science research experienced a decline in research in 2019-2021. Based on the mapping analysis that has been done using the VOSviewer application, computer science terms are connected to 4 main terms in each cluster, namely student, computer science education, education, and skills. Computer science research is mostly associated with the term student, namely the strength of link 221. This research can be used as a reference in determining the research theme or research discussion topic in the field of computer science.

The C* Conference on Computer Science and Software Engineering (C3S2E) was established in 2008. C3S2E 2010 is the third annual meeting in the C3S2E conference series and is held in Montréal, Québec, Canada, during May 19-20, 2010. The conference aims to address the need of the academic community in computer science and software engineering. It brings together academics, government and industry professionals to discuss recent progress and challenges in a broad range of areas in the field of computer science and software engineering such as algorithms and theory, artificial intelligence, bioinformatics, computer architecture, computer graphics, computer security, computer vision, data mining, databases, image processing, information retrieval, machine learning, as well as software engineering. C3S2E 2010 also serves as a platform for theoreticians and practitioners to exchange their original research ideas on academic or application aspects of computing and engineering of software systems, present their new findings on theoretical or practical aspects of computer science and software engineering, share their experiences on integrating new technologies into products and applications, discuss their work on applying computing and software engineering to real-life situations, describe their development and operations of challenging computing related systems, and identify unsolved challenges. Although it is the third time C3S2E is held, this comprehensive conference has grown from a Canadian conference into an international conference. For C3S2E 2010, we continue to keep our tradition for inviting international experts in various areas of computer science and software engineering to join our team of international program committee. As a result, our Program Committee consists of professionals from different parts of the world including Australia, Canada, Germany, Hong Kong, Italy, Japan, Portugal, South Korea, Turkey, UAE, and UK. This committee has done an excellent job in finishing the single-blind review and on-line double-blind debate processes in record time. On average, about 90% of reviews were submitted by the due date and about 3.67 reviews were received for each paper. In terms of submissions, we have attracted many high-quality papers submitted by authors globally. The paper selection process was thorough and competitive. On average, each paper was refereed by at least three reviewers, and about 18% of submissions were accepted as full research papers. This year, we have an intensive program that spans over two days. In addition to research papers and student posters, we also include position papers, which allow authors to give their opinions and vision on exploring new concepts and research directions.

Although Germany and Japan are top-ranking in STEM, women are underrepresented in the STEM fields of physics, engineering, and computer science in both countries. The current research investigated widespread gender-science stereotypes in STEM in the two countries (Studies 1 and 2) and negative consequences of expected backlash (i.e., imagining negative reactions and lower ascribed communion in scenarios) for women’s emotions and motivation in STEM due to role incongruity and lack-of-fit (Study 3). Studies 1 (N = 87) and 2 (N = 22,556) showed that explicit and implicit gender-science stereotypes are widespread and comparable in Germany and Japan. Study 3 (N = 628) showed that lower ascribed communion was related to less positive emotions, more negative emotions and anxiety emotions, and less study motivation for STEM students (from the fields of physics, engineering, and computer science) from Germany and Japan. Results point to more subtle expected backlash effects for women in STEM than hypothesized. Theoretical and practical implications for gender equality in STEM are discussed.

Artificial Intelligence (AI) has become an increasingly important and popular topic not just within the field of Computer Science but also the world at large. One of the current challenges in the field of AI is multi-agent planning, of which Swarm Intelligence (SI) is a possible solution drawing from natural systems as an inspiration. While individual agents in a flock or swarm are mostly simplistic and similar in nature, together they can develop extremely complex and emergent behaviour. A very well-known implementation of Swarm Intelligence is “Boids”. Bird like objects first introduced by Craig Reynolds in 1987 that flock and move together based on the 3 core steering behaviours of Separation, Alignment, and Cohesion. However, even current work on boids tend to let individual agents be “reactive” in nature, giving instructions to themselves based on their current state and their observations of the environment around them. This project aims to study how adding an additional layer on top of traditional flocking behaviour, by making agents “socially aware” through actively sharing opinions with each other, will affect the dynamics of a flock.

Despite the projection of an increase in the number of jobs in the computer science (CS) field by 13% from 2020 to 2030 in the United States (as reported by the Bureau of Labor Statistics), the representation of women, especially women of color, in the field remains low. Lack of representation for women in computer science negatively impacts the growth of this demographic as it becomes harder for prospective individuals to envision themselves in the field when they do not see others like them already succeeding in CS. Studies have found that the retention of women in the field is stronger when the representation of women is evident in their environment, however, it is hard to come by considering the low population of women computer scientists. While new prospects may find fewer women in their CS departments in their college experience, or at their workplaces, there is a plethora of social media personalities and communities for them to engage in and find like-minded individuals.This full research paper investigates the experiences of women, or lack thereof, in CS communities centered around social media and how it contributes to their sense of belonging in the CS field at large. It is evident that there is limited scope in the existing literature that studies the impact social media participation has on CS women. This literature review distinguishes the narrow scope of literature focused on women’s experiences with open-source software communities in CS from women’s experiences with more generic widespread platforms such as Twitter, or Instagram. It argues for the expansion of knowledge for the effects of CS women’s participation on such platforms and provides insight into approaches, such as photovoice, that may be utilized to study this space. The outcomes of this review reveal the potential of utilizing online platforms in retaining women in the CS workforce effectively. Considering the current status of many organizations that have switched from in-person to remote engagement due to COVID, this review contributes to the analysis of the effective use of technology and its impact at a critical time.

This article considers the current state and evolution of the Russian publication flow in the field of Computer Science in the Web of Science (WOS) database. In this article, we use the term "Informatics" for "Computer Science". The study analyzes the Russian flow to determine its position in the world Computer Science publication flow and its compliance to the National project "Science" requirements.We analyzed the Russian publication flow in 2010–2019 and compared it with other countries. The structure of the flow by the document type and its temporal dynamics was studied as well as the impact on citation metrics. Compliance of the flow characteristics to the requirements of the Ministry of Higher Education and Science of the Russian Federation (Ministry) requirements was analyzed.The analysis indicates an increase in the number of Russian computer science publications within 2010-2019,which outstrips the increase in the total number of world publications in Computer Science. This allowed Russia to move from 34 to 15 positions in the world rating in the studied research area. However, this position is not sufficient to achieve the goal of the "Science" National Project, namely, at least, the fifth position in the world rating.According to the methodic requirements of the Ministry, four types of documents were studied: Journals Articles, Conferences Proceeding Papers, Book Chapters, and Reviews. All journals have been classified into the WOS journal quartiles. Our analysis shows that the percentage of publications in the journals of higher quartiles (first and second) increases constantly and made 42 % in 2019.An increase in the number of the Conference Proceeding Papers was the highest among the studied document types.The number of citations of the published documents was studied for each document type. It was shown thatthe citing of the Journal Articles is by the order of magnitude higher than that of the Conference Proceeding Papers. This result indicates the very low interest of the Scientific Society to the Conference Proceeding Papers as compared with the Journal Articles. We conclude that an increase in the number and relative share of the Conference Proceeding Papers together with their low citation results in the low numbers of the overall citation of the Russian publication flow in comparison with other countries neighboring Russia in the world rating.The "Quality Coefficient" was calculated according to the Ministry’s methodic requirements. It was shown that the contribution of Conference Proceedings Papers to this coefficient is much lower than Journals Articles despite the number of the Conference Proceeding Papers is significantly higher.As a result, the flow of Russian publications in the field of Informatics demonstrates significant, though insufficient, growth within the analyzed period. Special attention should be paid to the document type structure of the flow.

This paper presents Tech Bot: A Computer Science Focused QA System designed for the computer science domain. Since there is a rapid increase in the field of computer science, a system that can provide accurate, context-aware responses specific to computer science is desperately needed. TechBot addresses this need by combining the advanced capabilities of Natural Language Processing techniques and Deep Learning Models. It includes a strong preprocessing pipeline, a query comprehension module that is capable of decoding technical terms and an answer retrieval framework optimized for computer science content. It performs better in the computer science domain than in general-purpose systems. Using the Hugging Face Dataset Library with extra web scraping, 20,076 question-answer pairs were collected. Secondly, the QA pairs were split into training and validation sets. Two state-of-the-art transformer-based sequence-to-sequence models, T5 and BART, which are designed for natural language generation, were employed. After fine-tuning on the domain-specific dataset, BART outperformed T5 based on the ROUGE score evaluated on the validation set. Initially, the BART model with 140 million parameters was trained for 21 epochs, achieving a ROUGE score of 0.2867. Finally, an average ROUGE score of 0.2890 was obtained on the test dataset.