Christine L. Borgman is a prominent figure in the field of information and library science. She is known for her work on digital libraries, information retrieval, and scholarly communication. Borgman has been involved in research regarding the impact of technology on information access and has contributed significantly to the understanding of how users interact with information systems. She has published numerous articles and books on these topics and has served in various academic roles, including as a faculty member and administrator at institutions involved in library and information science education.
David Forsyth is a noted computer scientist, particularly recognized for his work in computer vision, artificial intelligence, and machine learning. He has contributed to various areas including image recognition, object detection, and processing visual data. Forsyth is also known for his academic work, including publishing research papers and teaching at institutions like the University of Illinois at Urbana-Champaign. His contributions have helped advance the field of computer vision, enabling more sophisticated image analysis and understanding.
Danny Hillis is an American inventor, computer scientist, and entrepreneur known for his work in the fields of artificial intelligence, parallel computing, and technology innovation. He co-founded the Thinking Machines Corporation, which was known for developing the Connection Machine, an early massively parallel supercomputer. Hillis has also been involved in various other ventures and initiatives, including work in the field of education and serving as an advisor and researcher at various institutions.
David Ungar is a prominent computer scientist known for his work in programming languages and systems, particularly in the area of object-oriented programming. He is one of the creators of the Self programming language, which introduced many influential concepts in the field of dynamic typing and prototype-based object-oriented programming. Additionally, Ungar has contributed to advancements in garbage collection and optimization techniques in programming languages.
Diane Souvaine is a notable computer scientist and academic, recognized for her contributions to computational geometry and algorithms. She has held various positions in academia, including roles at universities and research institutions. In addition to her research, she has been involved in promoting education and outreach in the field of computer science.
Eric Brewer is an American computer scientist known for his contributions to the fields of distributed systems, cloud computing, and computer networking. He is particularly recognized for his work on the "CAP Theorem" (Consistency, Availability, Partition Tolerance), which describes the trade-offs that must be made in distributed data store systems. Brewer proposed this theorem in 2000 during a keynote address at the Symposium on Principles of Distributed Computing.
Gregor Kiczales is a computer scientist known for his contributions to the fields of programming languages, software engineering, and artificial intelligence. He is particularly recognized for his work on aspect-oriented programming (AOP) and the development of the AspectJ programming language, which extends Java with aspect-oriented features. Kiczales's research has focused on improving software modularity and adaptability, allowing developers to better manage cross-cutting concerns in software systems.
Gregor von Bochmann is a computer scientist known for his contributions to the fields of formal methods, system design, and software engineering. He has been involved in research related to specifications, verification, and the development of reliable software systems. His work often includes topics such as automata theory, process algebra, and model checking, which are fundamental in designing systems that meet specified requirements. Bochmann has also been influential in academia and has authored or co-authored numerous papers and publications in these areas.
Ellen Voorhees is a name that may refer to different contexts, but it is most commonly associated with a character from the "Friday the 13th" franchise, particularly in fan discussions or creative works, as the character is often tied to the lore surrounding Jason Voorhees and his family. However, it's worth noting that Ellen Voorhees is not a prominent or widely recognized character in the films themselves.
Eric Xing is a prominent computer scientist known for his work in machine learning, statistics, and artificial intelligence. He has made significant contributions to areas such as probabilistic graphical models, causal inference, and bioinformatics. Eric Xing is also known for his role as a professor at Carnegie Mellon University and for co-founding several companies, including those focused on AI and machine learning applications. In addition to his academic work, he is influential in the field through his research publications and contributions to various conferences and workshops.
Hanspeter Pfister is a prominent figure in the field of computer science, particularly known for his work in computer graphics, visualization, and interactive data analysis. He is a professor at Harvard University, where he has contributed significantly to research in visual computing, scientific visualization, and information visualization. In addition to his academic work, Pfister has been involved in various interdisciplinary projects, collaborating with researchers in fields such as biology and medicine to develop visualization techniques that can help in data analysis and interpretation.
James Hendler is a prominent computer scientist known for his work in the fields of artificial intelligence, the Semantic Web, and knowledge representation. He is one of the key figures in the development of Semantic Web technologies, which aim to make web data machine-readable and to improve the interoperability of information across different systems. Hendler has held various academic and professional positions, including being a professor and researcher at institutions such as Rensselaer Polytechnic Institute.
"Hai Li" can refer to various topics depending on the context, such as names of people, places, or specific cultural references. However, it is most commonly associated with Chinese names or phrases. In some contexts, it could also relate to a product, a brand, or even a concept within Chinese culture or business.
Herb Grosch is often associated with computer science and computing history. He was a pioneering figure in the early days of computing and is known for his contributions to the development of computer systems and software. His work included significant advancements in numerically intensive computing and the promotion of efficient programming practices.
Jean-Loup Baer is a French physicist renowned for his contributions to the field of quantum mechanics and quantum optics. His research often focuses on the theoretical and experimental aspects of these areas.
Jean E. Sammet was an influential American computer scientist and a pioneering figure in the field of programming languages. Born on March 23, 1928, she is best known for her work in the development of programming languages, particularly for her role in designing and implementing the programming language COBOL (Common Business-Oriented Language) and for her contributions to FORMAC, an early language for symbolic computation.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 3. Visual Studio Code extension installation.Figure 4. Visual Studio Code extension tree navigation.Figure 5. Web editor. You can also edit articles on the Web editor without installing anything locally.Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





