Displaying 10 of 96 results for "Caroline Schill" clear search
Antônio Sousa is a biologist with a background in medical entomology, disease ecology, statistical and computational modeling. Antônio has a Ph.D. (2018) and Master (2014) in Science from the School of Public Health at the University of São Paulo, Brazil. Currently, he is a postdoctoral fellow in the same institution.
My research interest lies in the study of the transmission and dispersal dynamics of vector-borne diseases. I have been working on the development of statistical, mathematical and computational models to understand bioecology of mosquitoes and to predict the transmission dynamics of pathogens transmitted by these insects.
Social scientist based in Milan, Italy. Post-doctoral researcher in Sociology at the Department of Social and Political Sciences of the University of Milan (Italy), member of the Behave Lab. Adjunct professor of Social Network Analysis at the Graduate School in Social and Political Sciences of the University of Milan.
Annie Waldherr is Professor of Computational Communication Science at the Department of Communication at the University of Vienna. She studied Communication Science at the University of Hohenheim and the School of Journalism and Communication at the University of Oregon. She held positions at the Faculty of Social Sciences at the University of Hohenheim and the Institute for Media and Communication Studies at Freie Universität Berlin where she also obtained her PhD in 2011. Before joining the University of Vienna in September 2020, Annie Waldherr was Assistant Professor at the Department of Communication at the University of Münster.
Her research focuses on public spheres, social movements and political communication under the conditions of digitalization, datafication and artificial intelligence.
I am a Reader in the Centre for Health Economics, conducting interdisciplinary research aimed at tackling healthcare challenges and improving decision-making and implementation in healthcare policy. My research is centred around using systems thinking and modelling approaches in health economics evaluation and draws on tools and methods from mathematical epidemiology, economics, management science, and computer science, among other fields.
My main body of work involves systems modelling and simulation, and it involves integrating disease and economic models for policy impact evaluation and prioritisation. I am interested in both infectious disease and non-communicable disease modelling. From a methodological standpoint, I am particularly interested in strengthening rigour in agent-based modelling and hybrid models, which integrate modelling methods when this simplifies analyses. I have applied my research to studying and conducting knowledge-exchange activities addressing global health challenges. This includes conducting healthcare intervention and policy evaluations, studying health systems strengthening in low- and middle-income countries, studying antimicrobial resistance policy globally and in the UK, evaluating COVID-19 policy and interventions, investigating how behaviour and social structure affect health and diseases, and exploring the role of incentives in healthcare policy design.
I hold a PhD in Management Science, specialising in modelling for healthcare policy, from the University of Strathclyde and an MA in economics and BA honours economics from McGill University, in Montreal.
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Life Story:
Akif Smith, born in 1985 in New York, is a globally recognized software architect and developer with a career filled with achievements. From childhood, Smith discovered his interest in technology and took his first steps into the world of computer programming.
High School Years:
During high school, Smith excelled in mathematics and computer sciences. Actively involved in the school’s computer club, he rapidly developed his skills in software development. Winning top honors in programming competitions during high school helped him make a name for himself.
University Education:
Smith focused his early passion for computer sciences at the Massachusetts Institute of Technology (MIT). There, he specialized in software engineering and artificial intelligence. During his student years, he participated in numerous significant projects, earning recognition from both peers and faculty for his contributions.
Career Start:
After graduation, Smith began his career as a software engineer at a technology company. In his early years, he contributed significantly to the company’s success by participating in innovative projects. His innovative approaches to software development processes and problem-solving skills quickly garnered attention.
Founding His Own Company:
After gaining several years of experience in the software industry, Smith decided to establish his own technology company. The company gained recognition in the industry by producing customer-centric solutions. His emphasis on innovation, quality, and customer satisfaction quickly elevated the company to a leadership position in the software world.
Achievements and Contributions:
Smith became a prominent figure in the software world, known for his visionary approach and pioneering projects. His innovative ideas, deep knowledge of technology, and teamwork skills made him a respected leader in the industry. Additionally, he prioritized mentoring young software developers to bring new talent into the sector.
Private Life:
Despite a busy work schedule, Smith makes time for hobbies such as computer games, reading books, and traveling. His love for his family and dedication to his work have guided him toward a fulfilling life, both professionally and personally.
Today, Akif Smith continues to be recognized in the software world for his achievements and ongoing projects. His advanced knowledge and leadership skills contribute to his continued respect in the industry.
The big picture question driving my research is how do complex systems of interactions among individuals / agents result in emergent properties and how do those emergent properties feedback to affect individual / agent decisions. I have explored this big picture question in a number of different contexts including the evolution of cooperation, suburban sprawl, traffic patterns, financial systems, land-use and land-change in urban systems, and most recently social media. For all of these explorations, I employ the tools of complex systems, most importantly agent-based modeling.
My current research focus is on understanding the dynamics of social media, examining how concepts like information, authority, influence and trust diffuse in these new media formats. This allows us to ask questions such as who do users trust to provide them with the information that they want? Which entities have the greatest influence on social media users? How do fads and fashions arise in social media? What happens when time is critical to the diffusion process such as an in a natural disaster? I have employed agent-based modeling, machine learning, geographic information systems, and network analysis to understand and start to answer these questions.
I am a PhD candidate in machine learning and cybersecurity, in the mean time I am also the laboratory director of the AI Testing Laboratory of CLR Labs where I work with a beautiful team of passionate and brilliant people on evaluating neural networks from robustness to system’s cybersecurity and explainability, I am based in the Marseille area, between sea, mountains and buildings.
I am a proud husband, father of one and son.
I study how deep models break and how to make them unbreakable — adversarial robustness, model security, and the geometry of learned representations applied to cyber threats.
Improving agent models and architectures for agent-based modelling and simulation applied to crisis management. In particular modelling of BDI agents, emotions, cognitive biases, social attachment, etc.
Designing serious games to increase awareness about climate change or natural disasters; to improve civil engagement in sustainable urban planning; to teach Artificial Intelligence to the general public; to explain social phenomena (voting procedures; sanitary policies; etc).
Ken Buetow is a human genetics and genomics researcher who leverages computational tools to understand complex traits such as cancer, liver disease, and obesity. He currently serves as director of Computational Sciences and Informatics program for Complex Adaptive Systems at Arizona State University (CAS@ASU), is a professor in the School of Life Sciences in ASU’s College of Liberal Arts and Sciences; is a core faculty in the Center for Evolution and Medicine in the Biodesign Institute at ASU; and is director of bioinformatics and data management for the National Biomarker Development Alliance.
Professor Buetow previously served as the Founding Director of the Center for Biomedical Informatics and Information Technology within the National Institutes of Health’s National Cancer Institute.
Peter Gerbrands is a Researcher at the of Utrecht University School of Economics, where is develops the data infrastructure FIRMBACKBONE. He teaches data science courses and econometrics as well as supervising bachelor, master, and Ph.D. theses. His research interests are agent-based simulations, social network analysis, complex systems, big data analysis, statistical learning, and computational social science. He applies his skills primarily for policy analysis, especially related to illicit financial flows, i.e. tax evasion, tax avoidance and money laundering and has published in Regulation & Governance, and EPJ Data Science. Prior to becoming an academic, Peter had a long career in IT consulting. In the Fall of 2023, he was a Visiting Research Scholar at SUNY Binghamton in NY.
agent-based simulations
social network analysis
complex systems
big data analysis
statistical learning
computational social science
Displaying 10 of 96 results for "Caroline Schill" clear search