A5075585231- Market Dynamics and Volatility
- COVID-19 epidemiological studies
- Financial Markets and Investment Strategies
- Hate Speech and Cyberbullying Detection
- Data-Driven Disease Surveillance
- Art History and Market Analysis
- Topic Modeling
- Social Media and Politics
- Media Influence and Politics
- Aesthetic Perception and Analysis
- Monetary Policy and Economic Impact
- Privacy, Security, and Data Protection
- Disaster Management and Resilience
- Social Capital and Networks
- Human Mobility and Location-Based Analysis
- Infection Control and Ventilation
- Complex Network Analysis Techniques
- COVID-19 Digital Contact Tracing
- Stock Market Forecasting Methods
- Transportation and Mobility Innovations
- Computational and Text Analysis Methods
- Climate change impacts on agriculture
- Complex Systems and Time Series Analysis
- Opinion Dynamics and Social Influence
- Advanced Text Analysis Techniques
Impact Technology Development (United States)
2022-2025
World Bank
2018-2025
Massachusetts Institute of Technology
2022-2024
World Bank Group
2020-2024
New York University
2009-2022
Northeastern University
2009-2021
Quantitative BioSciences
2009-2021
IIT@MIT
2021
Courant Institute of Mathematical Sciences
2019
University of Southern California
2018
Will the sharing economy create long-run economic value? We develop a new dynamic model of peer-to-peer Internet-enabled rental markets for durable goods in which consumers may also trade their assets (traditional) secondary markets, transaction costs and depreciation rates vary with usage intensity, are heterogeneous price sensitivity asset utilization rates. characterize stationary equilibrium model. analyze welfare distributional effects introducing these by calibrating our US automobile...
In areas of human activity where performance is difficult to quantify in an objective fashion, reputation and networks influence play a key role determining access resources rewards. To understand the these factors, we reconstructed exhibition history half million artists, mapping out coexhibition network that captures movement art between institutions. Centrality within this captured institutional prestige, allowing us explore career trajectory individual artists terms coveted Early...
This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control COVID-19 pandemic assessing effectiveness measures such as physical distancing. It identifies key gaps reasons why this kind is only scarcely used, although their value similar epidemics has proven a number use cases. presents ways overcome these recommendations for urgent action, most notably establishment mixed expert groups on national regional...
We extend previous studies on the impact of masks COVID-19 outcomes by investigating an unprecedented breadth and depth health outcomes, geographical resolutions, types mask mandates, early versus later waves controlling for other government interventions, mobility testing rate weather. show that mandates are associated with a statistically significant decrease in new cases (-3.55 per 100K), deaths (-0.13 proportion hospital admissions (-2.38 percentage points) up to 40 days after...
Anticipating food crisis outbreaks is crucial to efficiently allocate emergency relief and reduce human suffering. However, existing predictive models rely on risk measures that are often delayed, outdated, or incomplete. Using the text of 11.2 million news articles focused food-insecure countries published between 1980 2020, we leverage recent advances in deep learning extract high-frequency precursors crises both interpretable validated by traditional indicators. We demonstrate over period...
Social networks shape and reflect economic life. Prior studies have identified long ties, which connect people who lack mutual contacts, as a correlate of individuals’ success within firms places’ prosperity. However, we population-scale evidence the individual-level link between ties prosperity, why some more remains obscure. Here, using social network constructed from interactions on Facebook, establish robust association outcomes study disruptive life events hypothesized to cause...
Recent studies show the remarkable power of fine-grained information disclosed by users on social network sites to infer users' personal characteristics via predictive modeling. Similar data are being used successfully in other commercial applications. In response, attention is turning increasingly transparency that organizations provide as what inferences drawn and why, well sort control can be given over about them. this article, we focus based online actions. As a use case, explore made...
Abstract Despite strong scientific consensus on the severe risks posed by climate change, a substantial segment of population remains unconvinced, limiting progress effective action. Persuading skeptics is essential for building broader support stronger policies and accelerating efforts to mitigate change. However, outreach often depend perceptions skeptics' openness communication: when persuasion seen as unlikely, communication tend diminish. In this paper, we investigate predicted versus...
Since the Fall of 2008, out-of-the money puts on high interest rate currencies have become significantly more expensive than out-of-the-money calls, suggesting a large crash risk those currencies. To evaluate precisely, we propose parsimonious structural model that includes both Gaussian and disaster risks can be estimated even in samples do not contain disasters. Estimating for 1996 to 2014 sample period using monthly exchange spot, forward, option data, obtain real-time index compensation...
What is the information content of news-based measures sentiment?How are they related to aggregate economic fluctuations?I construct a sentiment index by measuring net amount positive expressions in corpus Economic news articles produced Reuters over period 1987 -2013 and across 12 countries.The successfully tracks fluctuations Gross Domestic Product (GDP) at country level, leading indicator GDP growth contains help forecast which not captured professional forecasts.This suggests that...
Ananth Balashankar, Sunandan Chakraborty, Samuel Fraiberger, Lakshminarayanan Subramanian. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint (EMNLP-IJCNLP). 2019.
Since the Fall of 2008, out-of-the money puts on high interest rate currencies have become significantly more expensive than out-of-the-money calls, suggesting a large crash risk those currencies. To evaluate precisely, we propose parsimonious structural model that includes both Gaussian and disaster risks can be estimated even in samples do not contain disasters. Estimating for 1996 to 2014 sample period using monthly exchange spot, forward, option data, obtain real-time index compensation...
Abstract We extend previous studies on the impact of masks COVID-19 outcomes by investigating an unprecedented breadth and depth health outcomes, geographical resolutions, types mask mandates, early versus later waves controlling for other government interventions, mobility testing rate weather. show that mandates are associated with a statistically significant decrease in new cases (-3.55 per 100K), deaths (-0.13 proportion hospital admissions (-2.38 percentage points) up to 40 days after...
Mobile phone data have played a key role in quantifying human mobility during the COVID-19 pandemic. Existing studies on patterns primarily focused regional aggregates high-income countries, obfuscating accentuated impact of pandemic most vulnerable populations. By combining geolocation from mobile phones and population census for 6 middle-income countries across 3 continents between March December 2020, we uncovered common disparities behavioral response to socioeconomic groups. When hit,...
We assess the impact of media sentiment on international equity prices using more than 4.5 million Reuters articles published across globe between 1991 and 2015.News robustly predicts daily returns in both advanced emerging markets, even after controlling for known determinants stock prices.But not all news-sentiment is alike.A local (countryspecific) increase news optimism (pessimism) a small transitory (decrease) returns.By contrast, changes global have larger around world, which does...
Detecting disclosures of individuals' employment status on social media can provide valuable information to match job seekers with suitable vacancies, offer protection, or measure labor market flows. However, identifying such personal is a challenging task due their rarity in sea content and the variety linguistic forms used describe them. Here, we examine three Active Learning (AL) strategies real-world settings extreme class imbalance, identify five types about (e.g. loss) languages using...
What is the information content of news-based measures sentiment? How are they related to economic fluctuations? I construct a sentiment index by measuring net amount positive expressions in full corpus Economic news articles produced Reuters covering 12 countries over period 1987-2013. The successfully tracks fluctuations GDP at country level, leading indicator growth and contains on future which not captured consensus forecasts. This suggests that forecasters do appropriately incorporate...
Recent studies have shown that information disclosed on social network sites (such as Facebook) can be used to predict personal characteristics with surprisingly high accuracy. In this paper we examine a method give online users transparency into why certain inferences are made about them by statistical models, and control inhibit those hiding ("cloaking") from inference. We use whether such would reasonable goal assessing how difficult it for actually inferences. Applying the data large...
Social networks shape and reflect economic life. Prior studies have identified long ties, which connect people who lack mutual contacts, as a correlate of individuals’ success within firms places’ prosperity. However, we population-scale evidence the individual-level link between ties prosperity, why some more remains obscure. Here, using social network constructed from interactions on Facebook, establish robust association outcomes study disruptive life events hypothesized to cause...