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A Large Ion Collider Experiment (ALICE) has been conceived and constructed as a heavy-ion experiment at the LHC. During LHC Runs 1 and 2, it has produced a wide range of physics results using all collision systems available at the LHC. In order to best exploit new physics opportunities opening up with the upgraded LHC and new detector technologies, the experiment has undergone a major upgrade during the LHC Long Shutdown 2 (2019-2022). This comprises the move to continuous readout, the complete overhaul of core detectors, as well as a new online event processing farm with a redesigned online-offline software framework. These improvements will allow to record Pb-Pb collisions at rates up to 50 kHz, while ensuring sensitivity for signals without a triggerable signature.
A Large Ion Collider Experiment (ALICE) has been conceived and constructed as a heavy-ion experiment at the LHC. During LHC Runs 1 and 2, it has produced a wide range of physics results using all collision systems available at the LHC. In order to best exploit new physics opportunities opening up with the upgraded LHC and new detector technologies, the experiment has undergone a major upgrade during the LHC Long Shutdown 2 (2019–2022). This comprises the move to continuous readout, the complete overhaul of core detectors, as well as a new online event processing farm with a redesigned online-offline software framework. These improvements will allow to record Pb-Pb collisions at rates up to 50 kHz, while ensuring sensitivity for signals without a triggerable signature.
A Large Ion Collider Experiment (ALICE) has been conceived and constructed as a heavy-ion experiment at the LHC. During LHC Runs 1 and 2, it has produced a wide range of physics results using all collision systems available at the LHC. In order to best exploit new physics opportunities opening up with the upgraded LHC and new detector technologies, the experiment has undergone a major upgrade during the LHC Long Shutdown 2 (2019-2022). This comprises the move to continuous readout, the complete overhaul of core detectors, as well as a new online event processing farm with a redesigned online-offline software framework. These improvements will allow to record Pb-Pb collisions at rates up to 50 kHz, while ensuring sensitivity for signals without a triggerable signature.
Die Bewertung der Nitrataustragsgefährdung (NAG) landwirtschaftlich genutzter Flächen in Wasserschutzgebieten (WSG) erfolgte bislang auf Basis bodenkundlicher Kartierungen und wurde seit 1996 nach einem im Staatsanzeiger für das Land Hessen veröffentlichten Merkblatt des ehemaligen Hessischen Landesamtes für Bodenforschung im Rahmen der Muster-Wasserschutzgebietsverordnung geregelt (HLfB 1996, HMUJFG 1996). Infolge der Verfügbarkeit hochauflösender Bodendaten in Form der „Bodenflächendaten 1: 5.000, landwirtschaftliche Nutzfläche“ (BFD5L) wird die Ermittlung der Nitrataustragsgefährdung landwirtschaftlich genutzter Flächen neu geregelt. Die BFD5L liefert Auswertungen der Bodenschätzungsdaten zur Feldkapazität des Wurzelraums sowie weiterer relevanter Parameter, die zur Bewertung der Nitrataustragsgefährdung herangezogen werden können.
Um die Eignung der BFD5L-Daten zur Ermittlung der Nitrataustragsgefährdung zu überprüfen, wurden in den Jahren 2009 bis 2012 bodenkundliche Vergleichskartierungen im Rahmen eines Pilotvorhabens im Wasserschutzgebiet Eschollbrücken/Pfungstadt in Südhessen, im Wassereinzugsgebiet der Quelle Meineringhausen bei Korbach, im Wasserschutzgebiet des Tiefbrunnens Spieß der Gemeinde Bad Emstal sowie im WSG Quelle Ohmes der Stadt Kirtorf durchgeführt. Ziel war es, die Umsetzungsmöglichkeiten bei der Nutzung der BFD5LDaten in organisatorischer und technischer Hinsicht zu erproben und das bisherige Verfahren zu überarbeiten (PETER & MILLER 2009, PETER & MILLER 2010a und 2010b, PETER & MILLER 2012).
Die Ergebnisse der Vergleichskartierungen zeigen, dass sich die Daten der BFD5L grundsätzlich für die Ermittlung der Nitrataustragsgefährdung in Wasserschutzgebieten eignen. Lediglich für Flächen, für die nach den bislang im System BFD5L enthaltenen Methoden keine Kennwerte abgeleitet werden können sowie für Sonderstandorte, muss die Nitrataustragsgefährdung durch bodenkundliche Geländearbeiten ermittelt werden.
In recent years, European regulators have debated restricting the time an online tracker can track a user to protect consumer privacy better. Despite the significance of these debates, there has been a noticeable absence of any comprehensive cost-benefit analysis. This article fills this gap on the cost side by suggesting an approach to estimate the economic consequences of lifetime restrictions on cookies for publishers. The empirical study on cookies of 54,127 users who received ∼128 million ad impressions over ∼2.5 years yields an average cookie lifetime of 279 days, with an average value of €2.52 per cookie. Only ∼13 % of all cookies increase their daily value over time, but their average value is about four times larger than the average value of all cookies. Restricting cookies’ lifetime to one year (two years) could potentially decrease their lifetime value by ∼25 % (∼19 %), which represents a potential decrease in the value of all cookies of ∼9 % (∼5%). Most cookies, however, would not be affected by lifetime restrictions of 12 or 24 months as 72 % (85 %) of the users delete their cookies within 12 (24) months. In light of the €10.60 billion cookie-based display ad revenue in Europe, such restrictions would endanger €904 million (€576 million) annually, equivalent to €2.08 (€1.33) per EU internet user. The article discusses these results' marketing strategy challenges and opportunities for advertisers and publishers.
Ad blockers allow users to browse websites without viewing ads. Online news publishers that rely on advertising income tend to perceive users’ adoption of ad blockers purely as a threat to revenue. Yet, this perception ignores the possibility that avoiding ads—which users presumably dislike—may affect users’ online news consumption behavior in positive ways. Using 3.1 million visits from 79,856 registered users on a news website, this research finds that ad blocker adoption has robust positive effects on the quantity and variety of articles users consume. Specifically, ad blocker adoption increases the number of articles that users read by 21.0%–43.2%, and it increases the number of content categories that users consume by 13.4%–29.1%. These effects are stronger for less-experienced users of the website. The increase in news consumption stems from increases in repeat visits to the news website, rather than in the number of page impressions per visit. These postadoption visits tend to start from direct navigation to the news website, rather than from referral sources. The authors discuss how news publishers could benefit from these findings, including exploring revenue models that consider users’ desire to avoid ads.
Economic value of data
(2020)
FIRMS COLLECT A LARGE AMOUNT OF DATA BY ENGAGING HEAVILY IN THE COLLECTION AND STORAGE OF ONLINE USER ACTIVITY VIA VARIOUS USER TRACKING TECHNOLOGIES. RECENT POLICY INITIATIVES AIM AT RESTRICTING THIS PRACTICE TO PROTECT CONSUMER PRIVACY. WE STUDY EMPIRICALLY THE CONSEQUENCES OF SUCH RESTRICTIONS FOR ONLINE PUBLISHERS, SUCH AS NEWS WEBSITES, BECAUSE THEY STRONGLY RELY ON REVENUES THAT ARE GENERATED BASED ON USER DATA. WE FIND A PRICE DECREASE OF CA. 30% FOR ONLINE ADS WHEN NO DATA FROM USER TRACKING IS AVAILABLE. THE POTENTIAL REVENUE LOSS COULD BE MORE THAN EUR 14 BILLION IN THE EU AND MORE THAN USD 27 BILLION IN THE US.
Knowledge of consumers' willingness to pay (WTP) is a prerequisite to profitable price-setting. To gauge consumers' WTP, practitioners often rely on a direct single question approach in which consumers are asked to explicitly state their WTP for a product. Despite its popularity among practitioners, this approach has been found to suffer from hypothetical bias. In this paper, we propose a rigorous method that improves the accuracy of the direct single question approach. Specifically, we systematically assess the hypothetical biases associated with the direct single question approach and explore ways to de-bias it. Our results show that by using the de-biasing procedures we propose, we can generate a de-biased direct single question approach that is accurate enough to be useful for managerial decision-making. We validate this approach with two studies in this paper.
