A big data expert witness typically has an advanced degree, with experience and expertise in data analytics, computer science, cloud computing, and/or information technology. Cahn Litigation Services is frequently called upon by law firm clients to locate expert witnesses that can support big data matters.
The term big data can also refer to the use of predictive analytics, statistical analytics, statistical modeling, or other advanced analytics methods that use electronic data from a data set, regardless of the size of the data set.
The ecosystem of big data can be characterized as:
Applications that benefit from big data analytics include: health care, banking, education, media, Internet of Things, economic productivity, crime, security, and natural disaster and resource management.
Big data matters that require expert witness services typically involve intellectual property, criminal, data analysis, or cyber security.
Litigation support by a big data expert witness typically includes a review of the technology by an expert, an expert report, expert opinion, and expert testimony in court.
Please Note: All Cahn Litigation expert witness searches are customized to attorneys' precise specifications and preferences. Attorneys are encouraged to discuss search parameters with a Cahn search specialist.
The below expert witness bios represent a small fraction of those Big Data experts known by Cahn Litigation Services. These bios are provided to give attorneys a sense of the Big Data landscape.
This expert is an Associate Professor of Information Science and an affiliate member of Computer Science at a University. This expert's research interests include studies of interactive information retrieval/seeking, especially those involving social and collaborative aspects. This expert studies social media and data generated by wearable devices as kinds of signals that can help us understand and impact human behaviors. This expert teaches in Information Science and Data Science programs (at undergraduate and graduate levels), and this expert's research falls under and uniquely connects Computer Science, Data Science, and Information Science.
This expert received a PhD in Information Science, an MTech, Computer Science & Engineering, and an MS, Computer Science. This expert has published and talked extensively on topics related to social and collaborative information seeking, interactive information retrieval, and social media. This expert has served as a consultant to an international organization on various Data Science projects involving social and political issues, peacekeeping, climate change, and energy.
This expert is interested in various aspects of information seeking/retrieval, in personal, group, and social contexts. In addition to looking at information being generated and shared in online environments as a part of Information Science, this expert investigates ways to collect and transform data to meaningful information under the broad label of Data Science. This involves Big Data analytics, mobile and sensor-based data collection, and data mining and machine learning techniques. Finally, this expert is interested in investigating how data, information, and knowledge influences people's, organizations', and communities' behaviors as a part of what this expert refers to as Decision Science. This expert tries to keep a balance between studying systems and users, designing algorithms and theories, and building tools and conducting user studies.
This expert is a Professor of Computer Science & Engineering, and is internationally known in Human Computer Interaction for contributions to software tools that make new forms of interaction more broadly accessible. This expert's broad research interests are in Human-Computer Interaction, User Interface Software and Technology, and Ubiquitous Computing. This expert's specific research is often motivated by challenges at the intersection of technology and design, developing new tools that empower individuals in important domains like health.
This expert's research includes novel applications of low-cost and unobtrusive personal sensing, novel applications of non-expert machine learning, and tools for runtime modification of graphical interfaces. This expert's work on non-expert interaction with machine learning considered domains such as activity recognition, image search, social network friend groups, and gesture recognition. These helped define new approaches to everyday interaction with big data and new approaches to machine learning in software developer tools. This work on runtime interpretation and modification of interfaces helps unlock interaction, enabling new approaches to deploying interaction techniques in the current technology ecosystem.
This expert holds a PhD in Computer Science, serves as an Associate Professor for a College of Information Systems as well as director of a Human-Computer Interaction Lab. Specializing in web, privacy and social media, this expert's work began professionally as a web designer. This expert started a web design company that built commercial websites. Since moving to academia, this expert has taught web design and web programming and written a textbook on web design.
This expert's work spans many areas, but core research interests are in understanding how people use social media to improve the way they interact with information. This expert approaches this from a computer science perspective and this expert's general research hits social networks, trust, web science, artificial intelligence, and human-computer interaction. This expert has done a lot of work looking at how to infer information about people (like personality and political preferences) and their relationships (like trust) from social media. This expert also works on usable security, bringing HCI to the design of security and privacy systems.
Areas of Expertise include:
This expert has extensive experience as an expert witness analyzing intellectual property issues, including patent validity and infringement and prior art. This expert has work as a technical expert, both pre-trial and in trial, on the workings of most major social media systems and recommender systems as well as the history and development of the web, web science, social networks, and social media.
This expert is an Assistant Research Professor in the Department of Civil & Environmental Engineering. This expert is also CEO and Co-founder of a firm that developed a software platform that automatically enriches and integrates facility operations information such as maintenance records and building IoT with building information models (BIM) to produce a 3D interactive visual information hub that provides facility managers, helpdesk and field technicians with intuitive access to actionable information when they need it most. This expert's research uses modeling and artificial intelligence to help visualize building information with big data. This expert has many years of experiences in software development in this field.