BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Ashoka University - ECPv6.17.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.ashoka.edu.in
X-WR-CALDESC:Events for Ashoka University
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
TZOFFSETFROM:+0530
TZOFFSETTO:+0530
TZNAME:IST
DTSTART:20240101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250409T133000
DTEND;TZID=Asia/Kolkata:20250409T150000
DTSTAMP:20250404T032254Z
CREATED:20250404T032254Z
LAST-MODIFIED:20250404T032254Z
UID:75912-1744205400-1744210800@www.ashoka.edu.in
SUMMARY:Economics Department | Weekly Seminars
DESCRIPTION:Dear All\, \nThe Department of Economics invites you to their weekly seminar on Wednesday\, April 9th\, 2025. \nTime: 1:40 PM to 2:50 PM \n Venue: AC 04 301 \n Speaker: Prof. Dominik Naeher \n Title: Information and Technology Adoption: Theory and Evidence from a Field Experiment on Climate Change Adaptation \nAbstract: Recent studies highlight information constraints as an important barrier to technology adoption\, but there is little evidence that allows to distinguish the roles of different information frictions for adoption decisions across different types of technology. We conduct a cluster randomized controlled trial among 1\,200 farmers in Haryana\, India\, to promote adoption of early sown wheat varieties and zero tillage technology—two agricultural innovations that can help farmers adapt to climate change by increasing resilience to heat and water stress. Two distinct information treatments are studied\, a one-time group training and an individual-specific advisory service. The experiment is designed to identify distinct impacts of general versus tailored agricultural advice across different types of technology and test for spillovers on other farmers’ adoption decisions. This is guided by a theoretical framework that decomposes optimal usage choices of technology into a systematic component and an idiosyncratic component\, generating testable predictions regarding the distinct roles of general and tailored information. The insights derived from this study have strong policy implications and help in understanding the role of information frictions for adoption decisions beyond the specific technologies considered here.
URL:https://www.ashoka.edu.in/event/economics-department-weekly-seminars/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250409T160000
DTEND;TZID=Asia/Kolkata:20250409T170000
DTSTAMP:20250409T103514Z
CREATED:20250405T093814Z
LAST-MODIFIED:20250409T103514Z
UID:75891-1744214400-1744218000@www.ashoka.edu.in
SUMMARY:Harnessing Data\, Learning\, and Decision Sciences for Advances in Weather and Climate Applications | Dr Manmeet Singh\, UT Austin
DESCRIPTION: Technical seminar series announcement\n“Harnessing Data\, Learning\, and Decision Sciences for Advances in Weather and Climate Applications”\nby Manmeet Singh \n \nJSG Distinguished Postdoctoral Fellow\nDepartment of Earth and Planetary Sciences\nThe University of Texas at Austin \n\nManmeet Singh is presently at the Jackson School of Geosciences\, The University of Texas at Austin\, Austin\, USA. He served as a Staff Scientist at the nodal national lab on weather and climate in India\, Indian Institute of Tropical Meteorology\, Ministry of Earth Sciences\, Govt of India for 11 years from 2013-2024. He was also a Fulbright-Kalam fellow at the Jackson School of Geosciences\, The University of Texas at Austin in 2021. His research interests include climate solutions to the problems on land\, ocean and atmosphere using mathematical models\, particularly numerical weather prediction systems. He is especially interested in AI/ML techniques\, causal approaches\, recurrence plots\, complex networks and non-linear time series analysis for solving grand challenges in Earth System Science. He is an experienced climate modeller having contributed to the IITM Earth System Model simulations towards the IPCC AR6 report. Together with his PhD co-advisor\, he developed and coupled the aerosol module of the IITM Earth System Model. He is active in teaching and has given invited talks at venues such as the NASA/UAH Seminar series\, Microsoft India podcast among others. His PhD focussed on the impacts of the proposals suggesting volcanic eruptions as an analogue of solar geoengineering to halt climate change. Recently\, his work has shown substantial improvements in high-impact short-range numerical weather predictions using deep learning and he has also developed novel physics inspired deep learning algorithms for high-resolution downscaling. \nAbstract: In recent years\, the confluence of data science\, machine learning\, and decision analytics has opened transformative pathways in understanding and addressing complex problems in weather and climate. This talk will explore how these interdisciplinary approaches are reshaping forecasting\, risk assessment\, and climate resilience planning. Drawing on recent case studies and ongoing research\, we will examine the role of data-driven models in improving prediction accuracy\, the integration of learning algorithms in climate simulations\, and the use of decision frameworks to support adaptive responses to extreme weather events. The session aims to highlight both the opportunities and challenges in operationalizing these methods for real-world impact in a rapidly changing climate landscape. \n\nDate: Wednesday\, April 09\, 2025\nTime: 4:00 PM IST\nVenue: AC-01-LR-106\nFor details: ashoka-cdlds@ashoka.edu.in or call: +91-9136857558\nZoom link: https://us02web.zoom.us/j/9290331190
URL:https://www.ashoka.edu.in/event/scdlds-ts03/
LOCATION:AC01-LR-106\, Ashoka University\, Sonipat\, India
CATEGORIES:Online Event,Seminar,Offline
ATTACH;FMTTYPE=image/png:https://www.ashoka.edu.in/wp-content/uploads/2025/04/coll02-banner-8.png
ORGANIZER;CN="SCDLDS":MAILTO:ashoka-cdlds@ashoka.edu.in
END:VEVENT
END:VCALENDAR