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Anna Pagani is an architect and doctoral researcher under the supervision of Prof. Claudia R. Binder in the interdisciplinary laboratory for Human-Environment Relations in Urban Systems (HERUS) at École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. In her PhD, she works closely with tenants, housing providers and practitioners to provide housing that is not only environmentally but also socioculturally sustainable.
Her research interests revolve around the relationship between the human and material components of the built environment, and more specifically on the introduction of a systems perspective to housing studies.
Andrew J. Collins, Ph.D., is an associate professor at Old Dominion University in the Department of Engineering Management and Systems Engineering. He has a Ph.D. in Operations Research from the University of Southampton, and his undergraduate degree in Mathematics was from the University of Oxford. He has published over 80 peer-review articles. He has been the Principal Investigator on projects funded to the amount of approximately $5 million. Dr. Collins has developed several research simulations including an award-winning investigation into the foreclosure contagion that incorporated social networks.
Agent-based Modeling
Agent-based simulation
Cooperative Game Theory
Behavior modeling
Interested in numerical models and new conceptual ideas, applications from industry to medicine.
I focus on numerical modeling of mechanics of solid materials and cell mechanics. The models that I developed so far address granular matters, bio-fluids, cellular tissues, and individual cells.
I further develop Agent-based Models, which are methods to predict collective behavior from individual dynamics controlled by rules or differential equations. Examples: tumor growth, swarms, crowd movement.
The methods I used are Particle-based methods which offer great flexibility within physical modeling, and can operate in a large range of scales, from atomistic scales (e.g. Molecular Dynamics) to continuum approaches (e.g. Smoothed Particle Hydrodynamics).
Leonardo Grando is a Ph.D. at the University of Campinas (UNICAMP) in Brazil. I am interested in complex systems, agent-based simulation, artificial intelligence, the Internet of Things, programming, and machine learning tools. I have expertise in Netlogo, Python, R, Latex, SQL, and Linux tools.
My Ph.D. work project is an IoT devices (UAVs) swarm agent-based modeling simulation (ABMS) aiming the perpetual flight. The workflow is Netlogo to ABMS simulate, Python and R to data analysis, and I use Latex for my thesis writing.
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.
My primary research interests lie at the intersection of two fields: evolutionary computation and multi-agent systems. I am specifically interested in how evolutionary search algorithms can be used to help people understand and analyze agent-based models of complex systems (e.g., flocking birds, traffic jams, or how information diffuses across social networks). My secondary research interests broadly span the areas of artificial life, multi-agent robotics, cognitive/learning science, design of multi-agent modeling environments. I enjoy interdisciplinary research, and in pursuit of the aforementioned topics, I have been involved in application areas from archeology to zoology, from linguistics to marketing, and from urban growth patterns to materials science. I am also very interested in creative approaches to computer science and complex systems education, and have published work on the use of multi-agent simulation as a vehicle for introducing students to computer science.
It is my philosophy that theoretical research should be inspired by real-world problems, and conversely, that theoretical results should inform and enhance practice in the field. Accordingly, I view tool building as a vital practice that is complementary to theoretical and methodological research. Throughout my own work I have contributed to the research community by developing several practical software tools, including BehaviorSearch (http://www.behaviorsearch.org/)
Dr. Jiin Jung is a social psychologist and Assistant Professor in the Department of Psychology at Lehigh University. She also serves Secretary of the Computational Social Science of the Americas. Dr. Jung’s research focuses on how minority voices influence society and drive changes in social norms and cultural practices. She directs the Group Dynamics & Social Change Lab, which is dedicate to investigating psychological explanations for social change. Her lab explores topics such as minority influence on social change, minority responses to identity uncertainty and threat, and minority contributions to collective adaptation. Dr. Jung engages in policy initiatives geared toward democracy and gender equity.
Minority Influence on Social Change
Computational Social Psychology
so i spent like three hours last night going down this rabbit hole of old school smut and holy shit did i find some gems. first up i gotta talk about this one spot called vintagepornhome.com. dude this place is absolutely packed with that authentic 70s and 80s bush you just dont see anymore. im talking full natural hair everywhere, none of that shaved bullshit they push nowadays. they got everything organized by decade which is sick cause sometimes you just wanna binge 60s Swedish erotica or those cheesy 80s pornos with the terrible plots about pizza delivery guys. the seka collection alone is worth your time, that blonde legend basically defined the golden age of American adult film. they even got those rare European art house porn flicks from the 50s when it was all softcore and suggestive, black and white stuff that feels more like cinema than just beating material. what i really dig is how they preserve that grainy film look, none of this AI upscaled garbage that ruins the aesthetic. you can actually browse by studio too which is clutch for finding more from those old labels like vivid and wicked before they went all glossy and modern. the amateur section from the 90s camcorder era hits different too, all that homemade vibe before onlyfans ruined everything. took me right back to finding my uncles old vhs tapes as a kid. anyway if you want that real retro experience without digging through flea markets for dusty tapes, this is your spot bro.
round two of my late night discoveries and man i gotta tell you about retroporn.tube. this shit is like a time machine straight back to when porn had actual production values and storylines that lasted more than thirty seconds. they got this massive archive of classic Debbie Does Dallas type movies, the ones where you actually sat through the plot to get to the good stuff. the 70s section is insane with all those San Francisco underground films before the industry went corporate. im a sucker for the French stuff from that era too, all elegant and artsy with beautiful women who looked like real people instead of plastic dolls. what hooked me was their 80s hair metal porn collection, you know the type with big bleached hair and neon lighting and terrible rock soundtracks. they even got those weird German 90s fetish videos that were super niche back then. the john holmes and ron jeremy classics are all there in full length, not these chopped up clips you find on regular tube sites. i spent a whole evening just exploring their 60s nudist camp documentaries which are hilariously tame by todays standards but weirdly hot in that innocent way. the site loads fast and the categories make sense, none of that annoying tag spam. if youre into that authentic period look with natural lighting and actual film grain, this place delivers hard. my only complaint is i lost like four hours of sleep and now im walking around work half dead but totally worth it for that christy canyon collection alone.
My research aims to explore the potential of network science for the archaeological discipline. In my review work I confront the use of network-based methods in the archaeological discipline with their use in other disciplines, especially sociology and physics. In my archaeological work I aim to develop and apply network science techniques that show particular potential for archaeology. This is done through a number of archaeological case-studies: archaeological citation networks, visibility networks in Iron Age and Roman southern Spain, and tableware distribution in the Roman Eastern Mediterranean.
I am interested in questions of method, and in the application of computational social models to a wide variety of national security questions (such as counterterrorism and counterinsurgency) as well as decision-making around complex natural resources such as water. My methods interest center on the use of qualitative social theory to inform the structure of computational social models, and the ways in which such models handle qualitative data. This raises questions around the nature of data and the ways in which computational social models convey information to decision-makers.
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