TAMIDS SciML Lab Seminar Series: Yannis Kevrekidis: No Equations, No Variables, No Space, No Time: Data and the Modeling of Complex Systems
On Monday, March 27th Dr. Yannis Kevrekidis, a Professor of Biomedical Engineering at John Hopkins, will give a SciML Lab Seminar on “No Equations, No Variables, No Space, No Time: Data and the Modelling of Complex Systems.”
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TAMIDS TUTORIAL: Abhishek Chakrabortty: Causal Inference for Treatment Effects from Observational Data: An Overview
On Marth 29th, 2023, Dr. Abhishek Chakrabortty, an Assistant Professor for Texas A&M Department of Statistics, will present a TAMIDS Data Science Seminar on “Causal Inference for Treatment Effects from Observational Data: An Overview”.
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Career Initiation Fellow Program
TAMIDS invites nominations of early career faculty for the Texas A&M Institute of Data Science Career Initiation Fellow program. Each Fellow will receive a one-time $10,000 award in the form of a bursary to be transferred to a research account of the Fellow recipient. While the funds are unrestricted in use, candidate Fellows must propose engagements with TAMIDS activities, programs or broader mission that are expected to be undertaken within one year following the award. TAMIDS plans to award six fellowships in 2023. Nominations are due by April 17, 2023.
TAMIDS Welcomes New Staff Member-Snehashis Chakraborty
On behalf of Dr. Nick Duffield, Director for the Texas A&M Institute of Data Science and the entire TAMIDS team, we are excited to announce a new member of our team!
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2023 Student Data Science Competition
Data-driven wildfire research involves using data and statistical analysis to understand and predict wildfire behavior. In this competition, student will develop innovative, data-driven, and sustainable solutions that can help better predict and manage wildfires and ultimately mitigate the effects of fires on people and the environment.
Data Science Course Development Grant Program
The Texas A&M Institute of Data Science (TAMIDS), in association with the Texas A&M Center for Teaching Excellence, solicits proposals for enhancing data science education at Texas A&M. The aim of the TAMIDS Course Development Grant Program is to support faculty to develop new Data Science courses or revamp existing courses to include Data Science components. The program supports development of for-credit courses for graduate and/or undergraduate TAMU students, and of similar components within summer programs or for broader outreach. The application deadline is March 27, 2023.
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Data Science Ambassador Scholarship Program
The TAMIDS Data Science Ambassador Scholarship Program solicits applications from Texas A&M PhD students who wish to serve as representatives for TAMIDS and champions for Data Science literacy in their departments. The competitive program will provide ambassadors with leadership, technical and training skills which they will practice through engagement in their home departments. Applications are due by the deadline of April 3, 2023.
TAMIDS Spring 2023 Seminar & Tutorial Series
TAMIDS announces its program for the Spring 2023 Data Science seminar and tutorial series, running from January 23 until April 17, 2023, starting Mondays at 2pm, online or in person in Blocker 220.
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Monograph on Precision Agriculture by Haoyu Niu
The Texas A&M Institute of Data Science (TAMIDS) is pleased to announce that Haoyu Niu, TEES Research Engineer at TAMIDS, along with co-author, YangQuan Chen, Professor, University of California, Merced, recently published a new monograph: Towards Tree-level Evapotranspiration Estimation with Small UAVs in Precision Agriculture.
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Bring-Your-Own-Data (BYOD) Online Consultancy
The Texas A&M Institute of Data Science (TAMIDS) and Texas A&M High Performance Research Computing (HPRC) invite you to sign up for Bring-Your-Own-Data (BYOD) online consultancy, offered in dedicated sessions with a TAMIDS Data Scientist on Thursdays 2:00pm-3:00pm during Spring 2023.
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TAMIDS Visiting Researcher Program
The Visiting Researcher Program of the Texas A&M Institute of Data Science (TAMIDS) solicits nominations by prospective TAMU hosts for external researchers to engage with activities in TAMIDS and the wider TAMU Data Science community during long-term full-time visits. Visitors will normally hold full-time positions in their home institution that provides full or partial salary …
Data Science Coffee Connections
The Data Science Coffee Connections program aims to facilitate cross-departmental interaction among researchers and university personnel with an interest in Data Science. Through this program, TAMIDS provides a platform that each month randomly pairs participants, who can then arrange a 30-min meeting to exchange ideas. While we expect people connecting through Data Science Coffee Connections will be drawn by a shared interest in Data Science, it’s entirely up to you where you take the conversation.
TAMIDS Announces Two Further Thematic Data Science Labs for 2022
TAMIDS announces the establishment of two new Labs through its competitive Thematic Data Science Labs program: the Design & Analytics Lab for Urban Artificial Intelligence and the Digital Twin Lab. The Thematic Labs program aims to develop ecosystems encompassing research, education, and community building in emerging areas of Data Science that will strengthen TAMU’s prominence and competitiveness.
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NSF-Funded Project to Develop Probabilistic Scientific Machine Learning
The activities at the SciML Lab have received the support of the National Science Foundation (NSF), through a 3-year CISE/CCF research grant, as part of an international collaboration with the Academy of Finland. Co-PIs on the project are Ming Zhong, former SciML Lab Research Associate and now an Assistant Professor at the Illinois Institute of Technology, and Simo Särkkä, Associate Professor at Aalto University, Finland. The project will benefit ongoing collaborative projects in petroleum engineering, aerospace engineering, computational biology, materials science and engineering, nuclear engineering, and astrophysics.
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PhD Research Workshop: Computational / Artificial Intelligence
The Texas A&M Institute of Data Science is sponsoring a 4-day intensive workshop that aims to provide students with expertise in the methods and tools of computational artificial intelligence that they can use in their ongoing research. Students from any domain involved in Data Science are encouraged to apply.
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