A5031120336- Human Mobility and Location-Based Analysis
- Data Visualization and Analytics
- Aesthetic Perception and Analysis
- Art History and Market Analysis
- Generative Adversarial Networks and Image Synthesis
- Computer Graphics and Visualization Techniques
- Financial Markets and Investment Strategies
- Blockchain Technology Applications and Security
- Experimental Behavioral Economics Studies
- Complex Network Analysis Techniques
- Advanced Vision and Imaging
- Video Analysis and Summarization
- Multimodal Machine Learning Applications
- Auction Theory and Applications
- Creativity in Education and Neuroscience
- Social Media and Politics
- Game Theory and Applications
- Housing Market and Economics
- Opinion Dynamics and Social Influence
- Advanced Text Analysis Techniques
- Agriculture and Farm Safety
- Data-Driven Disease Surveillance
- Innovative Human-Technology Interaction
- Misinformation and Its Impacts
- Artificial Intelligence in Games
Cambridge Scientific (United States)
2021-2022
Fiat Chrysler Automobiles (Germany)
2019
IBM (United States)
2015-2017
IBM Research - Thomas J. Watson Research Center
2015
Northeastern University
2013-2014
Center for Innovation
2014
Massachusetts Institute of Technology
2010
Do regional boundaries defined by governments respect the more natural ways that people interact across space? This paper proposes a novel, fine-grained approach to delineation, based on analyzing networks of billions individual human transactions. Given geographical area and some measure strength links between its inhabitants, we show how partition into smaller, non-overlapping regions while minimizing disruption each person's links. We tested our method largest non-Internet network,...
The emergent processes driving cultural history are a product of complex interactions among large numbers individuals, determined by difficult-to-quantify historical conditions. To characterize these processes, we have reconstructed aggregate intellectual mobility over two millennia through the birth and death locations more than 150,000 notable individuals. tools network complexity theory were then used to identify characteristic statistical patterns determine relevance deviations....
It is widely reported that partisanship in the United States Congress at an historic high. Given individuals are persuaded to follow party lines while having opportunity and incentives collaborate with members of opposite party, our goal measure extent which legislators tend form ideological relationships party. We quantify level cooperation, or lack thereof, between Democrat Republican Party U.S. House Representatives from 1949–2012. define a network over 5 million pairs representatives,...
Abstract Non Fungible Tokens (NFTs) are digital assets that represent objects like art, collectible, and in-game items. They traded online, often with cryptocurrency, generally encoded within smart contracts on a blockchain. Public attention towards NFTs has exploded in 2021, when their market experienced record sales, but little is known about the overall structure evolution of its market. Here, we analyse data concerning 6.1 million trades 4.7 between June 23, 2017 April 27, obtained...
We quantify Non Fungible Token (NFT) rarity and investigate how it impacts market behaviour by analysing a dataset of 3.7M transactions collected between January 2018 June 2022, involving 1.4M NFTs distributed across 410 collections. First, we consider the an NFT based on set human-readable attributes possesses show that most collections present heterogeneous patterns, with few rare large number more common ones. Then, analyze performance that, average, rarer NFTs: (i) sell for higher...
Prospect theory is widely viewed as the best available descriptive model of how people evaluate risk in experimental settings. According to prospect theory, are typically risk-averse with respect gains and risk-seeking losses, known "reflection effect". People much more sensitive losses than same magnitude, a phenomenon called "loss aversion". Despite fact that has been well developed behavioral economics at theoretical level, there exist very few large-scale empirical studies most previous...
Generative AI for the creation of images is becoming a staple in toolkit digital artists and visual designers. The interaction with these systems mediated by prompting, process which users write short text to describe desired image's content style. study prompts offers an unprecedented opportunity gain insight into human creativity. Yet, our understanding how people use them remains limited. We analyze more than 145,000 from logs two platforms (Stable Diffusion Pick-a-Pic) shed light on...
Analyzing network data can provide valuable insights in many diverse fields. However, designing node-link visualizations that effectively communicate the underlying is challenging, as for every there are potential unintelligible or even misleading layouts. Automated layout algorithms have helped, but frequently generate ineffective visualizations. In order to build awareness of effective visualization strategies, we detail new global readability metrics on a [0,1] continuous scale node-node...
We quantify Non Fungible Token (NFT) rarity and investigate how it impacts market behaviour by analysing a dataset of 3.7M transactions collected between January 2018 June 2022, involving 1.4M NFTs distributed across 410 collections. First, we consider the an NFT based on set human-readable attributes possesses show that most collections present heterogeneous patterns, with few rare large number more common ones. Then, analyze performance that, average, rarer NFTs: (i) sell for higher...
In this paper, we propose a tool to explore human movement dynamics in Metropolitan Area. By analyzing mass of individual cell phone traces, build Human-City Interaction System for understanding urban mobility patterns at different user-controlled temporal and geographic scales. We solve the problems that are found available tools spatio-temporal analysis, by allowing seamless manipulability introducing simultaneous\multi-scale visualization aggregate flows. Our is built support exploration...
Epidemiologists struggle to integrate complex information about the incidence and spread of disease, in relation population density other demographic conditions, at geographical scales ranging from global air travel down local commuting. A partial solution overlays as arcs above color-coded maps. However, commuting is not shown it often challenging understand changing relationships due visual complexity introduce. Moreover, when region sizes shapes vary their color-codings become difficult...
Storytelling is an open-ended task that entails creative thinking and requires a constant flow of ideas. Natural language generation (NLG) for storytelling especially challenging because it the generated text to follow overall theme while remaining diverse engage reader. In this work, we introduce system web-based demo, FairyTailor, human-in-the-loop visual story co-creation. Users can create cohesive children's fairytale by weaving texts retrieved images with their input. FairyTailor adds...
This research explores integration of a Large Language Model (LLM) fine-tuned to conversationally control the user interface (UI) for Semantic Automation Layer (SAL). We condense SAL capabilities from prior work and prioritize with business analysts data engineers via Kano model, before implementing prototypical UI. augment UI our conversational engine propose In-situ Prompt Engineering learn Human Feedback smoothen interaction manipulation through natural language commands. To evaluate...
In this interactive poster, we describe a system designed for identifying and tracking the behavior of distinct audiences in social media streams.
Generative AI for the creation of images is becoming a staple in toolkit digital artists and visual designers. The interaction with these systems mediated by \emph{prompting}, process which users write short text to describe desired image's content style. study prompts offers an unprecedented opportunity gain insight into human creativity. Yet, our understanding how people use them remains limited. We analyze more than 145,000 from logs two platforms (Stable Diffusion Pick-a-Pic) shed light...
Generation and transformation of images videos using artificial intelligence have flourished over the past few years. Yet, there are only a works aiming to produce creative 3D shapes, such as sculptures. Here we show novel 3D-to-3D topology method Generative Adversarial Networks (GAN). We use modified pix2pix GAN, which call Vox2Vox, transform volumetric style object while retaining original shape. In particular, how models into two new topologies - Network Ghirigoro. describe our approach...
In Marius von Senden's Space and Sight, a newly sighted blind patient describes the experience of corner as lemon-like, because corners "prick" sight like lemons prick tongue. Prickliness, here, is dimension in feature space sensory experience, an effect perceived on perceiver that arises where two interact. account sighted, familiar from one interaction translates to novel context. Perception serves vehicle for generalization, shared across different experiences produces concrete...