Multimodal AI for Social Good

Ramit Sawhney (Tower Research Capital, India);​

Cornelia Caragea (University of Illinois at Chicago,​ USA);

Roger Zimmermann (National University of Singapore, Singapore)​;

S Indu (Delhi Technological University, India);

Rajiv Ratn Shah (IIIT-Delhi, India)

This proposal is crafted on the premise of multimodal AI for social good – a significantly emerging research area in contemporary times.

Big Data in Healthcare

Gaurav Bhatnagar (Indian Institute of Technology Jodhpur, India);

Subrahmanyam Murala (Indian Institute of Technology Ropar, India);

Zheng Liu (University of British Columbia, Canada);

Jonathan Wu (University of Windsor, Canada)

Big data refers to enormous amount of information that can do wonders. The last decades have witnessed the special interest of researchers working in different domains due to the extraordinary potential concealed in big data. Numerous public and private organizations create, store and analyze big data in pursuit of improving the services they provide. In healthcare, big data is observed from various avenues such as hospital records, patients medical records, medical examinations reports and sophisticated devices that are usually part of internet of things. In contrast, biomedical research community also generates substantial amount of big data relevant to public healthcare. This data needs to be properly managed and analyzed in order to extract and utilize meaningful information else it resembles with finding a straw from haystack. However, there are diverse defiance linked with each step of handling big data and can only be exceeded by utilizing high-end computing solutions for big data analysis. Therefore, healthcare providers must be completely equipped with necessary infrastructure for generating and analyzing big data to provide relevant solutions to improve public health. A coherent management, analysis and visualization of big data can make a difference by opening contemporary avenues in modern healthcare. The intent of this workshop is to bring together researchers, practitioners, and scientific communities to report and discuss the common challenges, advancements and opportunities of big data in healthcare.

Bringing the Impact of Digital Humanities into the Palm of your Hand

Patricia Goodman (Northeastern University, USA)

Alice C. Mello (Northeastern University, USA)

Mattius Rischard (University of Arizona, USA)

Claudine Brunnquell (Mackenzie Presbyterian University Brazil)

This proposal is very timely with a focus on big data, multimedia, digital humanities, and their impact on globally popular social media applications, such as Facebook, Instagram, and WhatsApp. The proposal is well-crafted and aligns with the theme of BigMM 2020.

Dwelling in the Intersections of State, Markets and Big Data

Prasenjeet Tribhuvan (Indian Institute of Technology Jodhpur)

Eveleen Sidana (University of California, Davis USA)

This proposal is a socio-political intervention into issues around Big Data, multimedia, and the State. The proposal addresses key issues of urban planning, digital mutimedia, and health. This is the need of the hour to understand and examine the socio-political impacts of big data and multimedia in national and international social contexts.