麻豆传媒

James Hendler is the Director of the Future of Computing Institute; Tetherless World Professor of Computer, Web and Cognitive Sciences; and Director of the RPI-IBM Artificial Intelligence Research Collaboration. Hendler is a data scientist with specific interests in open government and scientific data, data science for healthcare, AI and machine learning, semantic data integration, and the use of data in government. One of the originators of the Semantic Web, he has authored over 450 books, technical papers, and articles in the areas of Open Data, the Semantic Web, artificial intelligence, and data policy and governance. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. He is the first computer scientist ever to have served on the Board of Reviewing editors for Science. In 2010, Hendler was selected as an “Internet Web Expert” by the US government and helped in the development and launch of the US data.gov open data website. In 2013, he was appointed as the Open Data Advisor to New York State and in 2015 appointed a member of the US Homeland Security Science and Technology Advisory Committee. In 2016, became a member of the National Academies Board on Research Data and Information, in 2017 a member of the Director’s Advisory Committee of the National Security Directorate of PNNL, and in 2021 became chair of the ACM’s global Technology Policy Council. Hendler is a Fellow of the US National Academy of Public Administration, the AAAI, AAAS, ACM, BCS and IEEE.

Juergen Hahn, Department Head of Biomedical Engineering at Rensselaer Polytechnic Institute, is a trailblazer in the use of big data methods to improve the diagnosis and treatment of Autism. His research focuses on the use of machine-learning algorithms to analyze complex biological and biomedical systems. He previously developed a physiological test for autism after discovering patterns with certain metabolites in the blood that can accurately predict diagnosis. He is applying that same approach to other areas of autism research including correlating conditions and assessing the effectiveness of possible medical treatments.

Dr. Brian Anderson is a Harvard-trained physician-scientist, innovator, and digital health expert. Dr. Anderson鈥檚 focus is on the use of information technology in support of emerging clinical decision support (CDS) models and the provision of safe, effective, patient-centered care. 
While at Athenahealth, where he led the Informatics Department, Dr. Anderson launched a new model of CDS leveraging Artificial Intelligence (AI). He has served on several national health information technology committees in partnership with the Office of the National Coordinator (ONC). 
At MITRE, Dr. Anderson works on mCODE, a standardized data language and interoperability model for cancer research and treatment, as well as architecting, implementing, and analyzing health information systems for the Centers for Medicare and Medicaid Services (CMS), the Department of Health and Human Services (HHS), and the Department of Veterans Affairs (VA). He also sits on the ONC鈥檚 Health Information Technology Advisory Committee.
Dr. Anderson has written in the Journal of Precision Medicine and spoken at the Precision Medicine Summit and HIMSS19. 

Sanjeev Khagram is a world-renowned expert in global leadership, the international political economy, sustainable development and the data revolution. Khagram has worked extensively with global start-ups, corporations, governments, civil society groups, nonprofit organizations, cross-sectoral action networks, public-private partnerships, foundations, professional associations and universities all over the world. Khagram is dean and director general of Thunderbird School of Global Management, ASU Foundation Professor of Global Leadership, and a member of ASU's Global Institute of Sustainability's board of directors. As the dean of Thunderbird School of Global Management, Khagram envisions Thunderbird as intensely focused on its founding mission to bring peace to the world through commerce.

Professor Kirsten Cater is based in the School of Computer Science where she works in the field of virtual reality (VR), augmented reality (AR) and immersive technologies. Her focus is on people's experiences of using highly sensory technology and the associated ethical considerations. Professor Cater's research touches on location-based experiences, gamification, virtual reality, data collection through crowdsourcing, novel interactions with big data, and tangible user interfaces for the elderly. One of her core projects is Tangible Memories, which aims to help improve the quality of life for residents in care homes by building a sense of community and shared experience through a cooperative exploration of their life stories. Professor Cater's research and public engagement work in primary and secondary schools, as well as community centres, has attracted significant media coverage including a BBC news feature and a documentary for South Korea.

Education
2000 - BSc Computer Science, University of Bristol 
2004 - PhD Computer Science, University of Bristol

Seth Lewis is an internationally recognized expert on news and technology, with more than 10,000 citations to a body of work that includes nearly 100 journal articles and book chapters. He recently co-authored the book, 鈥溌槎勾�媒 After Trump: Journalism's Crisis of Relevance in a Changed Media Culture,鈥� which was published by Oxford University Press. His research, which broadly addresses the social implications of emerging technologies, focuses on the digital transformation of journalism 鈥� from how news is made (news production) to how people make sense of it in their everyday lives (news consumption).

In addition to being the founding holder of the Shirley Pap茅 Chair in Emerging Media in the School of Journalism and Communication at the University of Oregon, Lewis is a fellow with the Tow Center for Digital Journalism at Columbia University, an affiliate fellow of the Information Society Project at Yale Law School, an affiliated faculty member of the University of Oregon's Agora Journalism Center and Center for Science Communication Research, and a recent visiting fellow at the University of Oxford's Reuters Institute for the Study of Journalism. 

He is a two-time winner of the International Communication Association鈥檚 award for Outstanding Article of the Year in Journalism Studies 鈥� in 2016 for the article 鈥淎ctors, Actants, Audiences, and Activities in Cross-Media 麻豆传媒 Work,鈥� and in 2013 for 鈥淭he Tension Between Professional Control and Open Participation: Journalism and its Boundaries,鈥� as well as an honorable mention distinction in 2014 for 鈥淥pen Source and Journalism: Toward New Frameworks for Imagining 麻豆传媒 Innovation.鈥�

During the past decade, Lewis has been a leader in studying innovations in digital journalism, both in examining developments in journalistic practice as well as in introducing new conceptual frameworks for making sense of change. In 2009, he co-organized one of the first major studies of journalists鈥� use of social media, in an article that has become one of the most-cited papers in the field (Lasorsa, Lewis, & Holton, 2012). Since that time, Lewis鈥� research has examined developments in digital audience analytics/metrics, open innovation processes, and computer programming and software development, as well as the role and influence of nonprofit foundations and other actors in shaping news innovation (see Google Scholar for a complete list of papers).

Balaji Padmanabhan has a bachelor's degree in computer science from Indian Institute of Technology (IIT) Madras and a PhD from New York University’s Stern School of Business and has worked in the data science, AI/machine learning and business analytics areas for 25 years. His current work addresses the design of artificial and augmented intelligence solutions that combine data, machine learning and modeling the real-world through complex systems simulations and has broad applications across business, policy, media and healthcare. He has published extensively in data science and related areas at premier journals and conferences in the field and has served on the editorial board of leading journals including Management Science, MIS Quarterly, INFORMS Journal on Computing, Information Systems Research, Big Data, ACM Transactions on MIS and the Journal of Business Analytics.