Data Action: Using Data for Public Good
by Sarah Williams · 14 Sep 2020
and tools like Humanitarian Tracker have been used for monitoring everything from smoking cessation patterns to infectious disease. This method is often referred to as “nowcasting,” a term used to describe the ability to predict a range of phenomena happening in the present, near future, or recent past such as the
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spread of diseases, economic analyses or forecasting,55 and weather.56 Aside from its typical use of social media data, nowcasting can also draw from the data exhaust, such as search history or logs of purchases on Amazon, generated by interacting with digital technologies. The use
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provide real-time information from those on the ground and responding—and allowing people to know where to respond. The work is similar to the “nowcasting” described earlier in the chapter, as it helps identify the problems associated with a disaster. But rather than being predictive, disaster response tells us what
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, no. 1 (2013): 5–24. 54 “Humanitarian Tracker,” Humanitarian Tracker, October 15, 2018, https://www.humanitariantracker.org. 55 Domenico Giannone, Lucrezia Reichlin, and David Small, “Nowcasting: The Real-Time Informational Content of Macroeconomic Data,” Journal of Monetary Economics 55, no. 4 (May 2008): 665–676, https://doi.org/10.1016/j
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and Networks of Association in Public Participation GIS.” Environment and Planning A 39, no. 8 (2007): 1961–1980. Giannone, Domenico, Lucrezia Reichlin, and David Small. “Nowcasting: The Real-Time Informational Content of Macroeconomic Data.” Journal of Monetary Economics 55, no. 4 (May 2008): 665–676. https://doi.org/10.1016/j
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, 174–175, 178, 181, 197, 199 Nichol housing 17 Noble, Safiya xii–xiii Nongovernmental organizations (NGOs) 191, 198 “The Notion of Life” (Geddes) 166, 166 “Nowcasting,” 130, 132 Obama, Barack 177, 183 Odinga, Raila 80 Olympics, Beijing 2008, 61, 62, 66 O’Neil, Cathy xii–xiii Online media, interactive “data stories
The Singularity Is Nearer: When We Merge with AI
by Ray Kurzweil · 25 Jun 2024
29 Sumner, “New Causes of Autism Found in ‘Junk’ DNA.” BACK TO NOTE REFERENCE 30 Nancy Fliesler, “Using Multiple Data Streams and Artificial Intelligence to ‘Nowcast’ Local Flu Outbreaks,” Vector, Boston Children’s Hospital, January 14, 2019, https://web.archive.org/web/20210121214157/https://vector.childrenshospital.org/2019/01/local-flu
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-prediction-argonet. BACK TO NOTE REFERENCE 31 Fliesler, “Using Multiple Data Streams and Artificial Intelligence to ‘Nowcast’ Local Flu Outbreaks.” BACK TO NOTE REFERENCE 32 Fliesler, “Using Multiple Data Streams and Artificial Intelligence to ‘Nowcast’ Local Flu Outbreaks.” BACK TO NOTE REFERENCE 33 Fliesler, “Using Multiple Data Streams and Artificial Intelligence
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to ‘Nowcast’ Local Flu Outbreaks”; Fred S. Lu et al., “Improved State-Level Influenza Nowcasting in the United States Leveraging Internet-Based Data and Network Approaches,” Nature Communications 10, article 147 (January 11, 2019), https://doi.org
These Strange New Minds: How AI Learned to Talk and What It Means
by Christopher Summerfield · 11 Mar 2025 · 412pp · 122,298 words
weather chart in mostly foreseeable ways, so forecasts can extrapolate from the current weather conditions to accurately predict minutes or hours into the future (called nowcasting). However, each day’s weather is subject to random fluctuations that cannot be modelled. Thus, as the time horizon for prediction lengthens, these small errors
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, as illustrated by the predictive text suggestions in a messaging app or email client. But guessing the very next word is the linguistic equivalent of nowcasting. What we really want is for models to generate continuations that stretch for several words, sentences, or even paragraphs. Let’s take the prompt: ‘Once
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Office does not use RNNs, because the weather tends to obey models of fluid dynamics quite well, but neural networks have been successfully deployed for nowcasting.)[*2] However, when it comes to modelling sequences of data, there is a problem. Information about the past is not all equally useful when predicting
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Compositionality Gap in Language Models’. arXiv. Available at http://arxiv.org/abs/2210.03350 (accessed 13 December 2023). Ravuri, S. et al. (2021), ‘Skilful Precipitation Nowcasting Using Deep Generative Models of Radar’, Nature, 597(7878), pp. 672–7. Available at https://doi.org/10.1038/s41586-021-03854-z. Runciman, D
Calling Bullshit: The Art of Scepticism in a Data-Driven World
by Jevin D. West and Carl T. Bergstrom · 3 Aug 2020
we need to know. Data scientists didn’t need years of epidemiological training or clinicians to diagnose flu symptoms. They just need enough data to “nowcast”*12 the flu and inform the CDC where to deliver Tamiflu. Or so we were told. In all the excitement, we forget that if it
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, but it is the most debated of all subjects in the GDPR, partly because of the difficulty in defining what is meant by “explain.” *12 “Nowcasting” is a flashy word made up to describe the practice of “predicting” aspects of the present or recent past using computer models, before anyone has
The COVID-19 Catastrophe: What's Gone Wrong and How to Stop It Happening Again
by Richard Horton · 31 May 2020 · 106pp · 33,210 words
et al., Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China, The Lancet, 24 January 2020. 3. Joseph T. Wu et al., Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China, The Lancet, 31 January 2020. 4. Adam Kucharski
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characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding, The Lancet, 29 January 2020. 4. Joseph T. Wu et al., Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China, The Lancet, 31 January 2020. 5. Huijun Chen
Oil Panic and the Global Crisis: Predictions and Myths
by Steven M. Gorelick · 9 Dec 2009 · 257pp · 94,168 words
approach is easily able to match much of the historical production data, including the peak. Yet even with the advantage of post-peak hindsight, the “nowcast” does not match actual production data for the past 10 years and substantially underestimates production, as displayed in Figure 4.4 (for 2008, applying Hubbert
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predicted value of 0.92 billion barrels per year versus the actual 1.55 billion barrels per year). This figure presents an enlargement of the nowcast prediction for the years 1994 through 2008, showing the descending limb of 92 Counter-Arguments to Imminent Global Oil Depletion the predicted curve versus actual
Virtual Competition
by Ariel Ezrachi and Maurice E. Stucke · 30 Nov 2016
Price Discrimination Using Big Data” (2014), http://benjaminshiller.com /images/First_Degree_PD_Using _Big _Data_Apr_8,_2014.pdf. For a discussion of the “nowcasting radar,” see Stucke and Grunes, Big Data and Competition Policy. Yoko Kubota, “Toyota Aims to Make Self-Driving Cars by 2020,” Wall Street Journal, October
Investing Amid Low Expected Returns: Making the Most When Markets Offer the Least
by Antti Ilmanen · 24 Feb 2022
predicting returns cannot be too easy. Combined with some innovative alternative data sources, machine learning may help predict the next macroeconomic or firm-specific announcements (“nowcasting”) which would give some edge in short-term trading, but this would do nothing to help us collectively in the low expected return challenge. Machine
The Technology Trap: Capital, Labor, and Power in the Age of Automation
by Carl Benedikt Frey · 17 Jun 2019 · 626pp · 167,836 words
have reached a critical mass in terms of the number of people in them. But other sources, like LinkedIn data, allow us at least to nowcast some emerging jobs. Among them are the jobs of machine learning engineers, big data architects, data scientists, digital marketing specialists, and Android developers.14 But
Covid by Numbers
by David Spiegelhalter and Anthony Masters · 28 Oct 2021
-do-they-relate-to-one-another/ 12. https://www.bmj.com/content/370/bmj.m3563 13. https://www.mrc-bsu.cam.ac.uk/now-casting/nowcasting-and-forecasting-27th-may-2021/ CHAPTER 8: HOW ILL DO PEOPLE GET WITH COVID-19? 1. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/articles
Alpha Trader
by Brent Donnelly · 11 May 2021