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researcher

A. Vespignani

14 papers hereh-index 4718.5k citations151 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author11
  • last author3

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph4
  • cs.AI2
  • cs.LG2
  • stat.AP2
  • cs.CY1
  • econ.GN1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedA machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models

102 citations · 137 across the 12 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

physics.soc-ph2022★ 4 cited

Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic

Brennan Klein, Timothy LaRock, Stefan McCabe +13

The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and…

econ.GN2022★ 8 cited

The unequal effects of the health-economy tradeoff during the COVID-19 pandemic

Marco Pangallo, Alberto Aleta, R. Maria del Rio Chanona +9

The potential tradeoff between health outcomes and economic impact has been a major challenge in the policy making process during the COVID-19 pandemic. Epidemic-economic models de…

cs.LG2022★ 7 cited

Multi-fidelity Hierarchical Neural Processes

Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani +2

Science and engineering fields use computer simulation extensively. These simulations are often run at multiple levels of sophistication to balance accuracy and efficiency. Multi-f…

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