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2024 NSF HDR Ecosystem Conference Harvesting the Data Revolution

9–12 Sept 2024
University of Illinois at Urbana-Champaign
US/Central timezone

Contribution List

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  1. 1. Registration
    09/09/2024, 14:00

    The registration desk is in the Illinois Conference Center atrium, right in front of you when you enter through the main entrance via the parking lot.

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  2. 2. Welcome Reception
    09/09/2024, 18:00
  3. 3. Welcome and Introduction
    Mark Neubauer (Univ. Illinois at Urbana Champaign (US))
    10/09/2024, 09:00
  4. 4. Welcome from the Dean of the College of Engineering
    Rashid Bashir (University of Illinois at Urbana-Champaign)
    10/09/2024, 09:15
  5. 5. NSF Welcome and HDR Overview
    Amy Walton (National Science Foundation)
    10/09/2024, 09:30
  6. 7. A3D3
    Shih-Chieh Hsu (University of Washington Seattle (US))
    10/09/2024, 10:30
  7. 8. ID4
    Eric Toberer (Colorado School of Mines)
    10/09/2024, 10:45
  8. 9. Imageomics
    Tanya Berger-Wolf (The Ohio State University)
    10/09/2024, 11:00
  9. 10. iHARP
    Vandana Janeja (UMBC)
    10/09/2024, 11:15
  10. 11. I-GUIDE
    Anand Padmanabhan (University of Illinois at Urbana-Champaign)
    10/09/2024, 11:30
  11. 25. NSF Panel
    10/09/2024, 11:45

    Moderator: Tanya Berger-Wolf (The Ohio State University)

    A panel of the NSF program directors bringing the NSF perspective of the history and the future of the data revolution, particularly in the context of AI revolution.

    Panelists primarily assembled from Cognizant Program Officers of <a...

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  12. 6. Keynote talk: Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges
    Vipin Kumar (University of Minnesota)
    10/09/2024, 14:00

    Climate change, loss of bio-diversity, food/water/energy security for the growing population of the world are some of the greatest environmental challenges that are facing the humanity. These challenges have been traditionally studied by science and engineering communities via process-guided models that are grounded in scientific theories. Motivated by phenomenal success of Machine Learning...

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  13. 30. Imageomics: FAIR ML Products for Biological Knowledge Discovery
    Elizabeth Campolongo
    10/09/2024, 17:35
  14. 31. Incorporating phenotypic similarity into trait description embeddings​
    Soumyashree Kar
    10/09/2024, 17:36
  15. 32. Latent Space Phenotyping for Measuring Complex Evolutionary Traits
    Caleb Charpentier
    10/09/2024, 17:37
  16. 33. Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution
    Mridul Khurana
    10/09/2024, 17:38
  17. 34. What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
    Harish Babu Manogaran
    10/09/2024, 17:39
  18. 35. BioCLIP: A Vision Foundation Model for the Tree of Life
    Sam Stevens
    10/09/2024, 17:40
  19. 36. Education and Outreach in Imageomics: Engaging Communities to Advance Science
    Diane Boghrat
    10/09/2024, 17:41
  20. 37. Using Deep Learning to Quantify Phenotypic Similarities in Mimic Butterfly Species using Human, Bird, and Butterfly Acuities
    Michelle Ramirez
    10/09/2024, 17:42
  21. 38. Dynamic Network Classification
    Namrata Banerji
    10/09/2024, 17:43
  22. 39. Tulane Center for Community-Engaged Artificial Intelligence
    Aron Culotta
    10/09/2024, 17:44
  23. 40. Understanding of impact of training size on animal re-identification
    Ekaterina Nepovinnykh
    10/09/2024, 17:45
  24. 41. Practical Leadership for Team Science: Experiences from the Imageomics Institute
    Diane Boghrat
    10/09/2024, 17:46
  25. 42. VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
    Anuj Karpatne
    10/09/2024, 17:47
  26. 43. What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
    Anuj Karpatne
    10/09/2024, 17:48
  27. 44. National Data Mine Network
    Mark Daniel Ward
    10/09/2024, 17:49
  28. 45. Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
    Kazi Sajeed Mehrab
    10/09/2024, 17:50
  29. 46. Low-cost Efficient Wireless Intelligent Sensors (LEWIS) for Engineering Education: Native American Knowledge for Data Science Education
    Fernando Moreu
    10/09/2024, 17:51
  30. 47. Facilitating Knowledge Sharing and Discovery: Search Functionality and API Design for the I-GUIDE
    Yunfan Kang
    10/09/2024, 17:52
  31. 48. CLV: A Novel Framework for Enhanced Anomaly Detection and Attribution in Multivariate Time Series Data
    Tolulope Ale
    10/09/2024, 17:53
  32. 49. Battling Misinformation through Interdisciplinary Collaboration
    Zahra Khanjani
    10/09/2024, 17:54
  33. 50. CMAD: Advancing Understanding of Anomalous Melt Events over the Antarctic Sea Ice
    Maloy Kumar Devnath
    10/09/2024, 17:55
  34. 51. HDR DSC: The Metropolitan Chicago Data-science Corps (MCDC)
    Lizhen Shi
    10/09/2024, 17:56
  35. 52. Neural Network Efficiency Evaluation on the AMD Versal AI Engine
    Yilin Shen
    10/09/2024, 17:57
  36. 53. BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
    Maksim Kholiavchenko
    10/09/2024, 17:58
  37. 54. Assessing Annotation AccAssessing Accuracy in Ice Sheets Using Quantitative Metrics
    Bayu Tama
    10/09/2024, 17:59
  38. 55. Genotype to Phenotype Mapping via Deep Learning
    David Carlyn
    10/09/2024, 18:00
  39. 56. Variance Analysis of Brightness Temperature using High-resolution DYAMOND simulations and CRTM in Digital Twin Systems
    Chhaya Kulkarni
    10/09/2024, 18:01
  40. 57. Predicting Sea ice extent over Antarctica using Patch CNN
    Sai Vikas Amaraneni
    10/09/2024, 18:02
  41. 58. HDR DSC: Collaborative Research: Transforming Data Science Education through a Portable and Sustainable Anthropocentric Data Analytics for Community Enrichment (ADACE) Program
    Yu Liang
    10/09/2024, 18:03
  42. 59. Physics-Informed Sea Ice Thickness Prediction
    Akila Sampath
    10/09/2024, 18:04
  43. 60. Probabilistic Prediction of Material Stability: Integrating Convex Hulls into Active Learning
    Andrew Novick
    10/09/2024, 18:05
  44. 61. Cyberinfrastructure for Scientific Data Preservation and Image Similarity Search
    Joshua Agar
    10/09/2024, 18:06
  45. 12. Public Lecture: Making AI Safe, Effective, and Trustworthy
    Suresh Venkatasubramanian
    10/09/2024, 19:30

    The data revolution has been replaced by the AI revolution. It seems that every day, we hear about a new area of human endeavor that has been conquered by AI. There are AI lawyers, AI doctors, AI artists, poets, and mathematicians. AI will predict what jobs we get, what medicines we should be treated with, and even how we should be educated.

    If that's true, then AI policy should consist of...

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  46. 22. NSF OAC and the National Artificial Intelligence Research Resource (NAIRR) Pilot
    Katerina Antypas (National Science Foundation)
    11/09/2024, 09:00
  47. 21. Frontier AI for Science Security and Technology (FASST) initiative
    Franck Cappello (Argonne National Laboratory)
    11/09/2024, 09:45
  48. 23. Knowledge Transfer in AI Workload Acceleration: from Academia to Industry
    Deming Chen (University of Illinois at Urbana-Champaign)
    11/09/2024, 10:45

    At UIUC, there is strong ongoing collaboration between academia and industry, reflected in large industry-sponsored centers and institutes such as the IBM-Illinois Discovery Accelerator Institute (IIDAI) and the Center for Networked Intelligent Components and Environments (C-NICE), as well as in smaller and medium-sized partnerships like the AMD Center of Excellence and the Amazon-Illinois...

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  49. 17. Machine Learning Challenges Overview
    Philip Coleman Harris (Massachusetts Inst. of Technology (US))
    11/09/2024, 11:45
  50. 18. Detecting Novel Astrophysical Phenomena with Gravitational Waves (A3D3)
    Philip Coleman Harris (Massachusetts Inst. of Technology (US))
    11/09/2024, 12:00
  51. 19. Detecting Anomalous Climate Phenomena (iHARP)
    Subhankar Ghosh (University of Minnesota)
    11/09/2024, 12:10
  52. 20. Anomaly Detection: Hybrid Butterflies (Imageomics)
    Elizabeth Campolongo (The Ohio State University)
    11/09/2024, 12:20
  53. 28. Pre-tenure faculty & postdoc mentoring lunch
    11/09/2024, 12:30
  54. 24. Communicating Science: Effective Delivery To Any Audience
    Sara Metwalli (Argonne National Laboratory)
    11/09/2024, 14:00

    Abstract:
    Effective science communication is crucial for bridging the gap between complex scientific concepts and diverse audiences. In this talk, I will explore strategies to convey scientific ideas clearly and engagingly, ensuring accessibility for individuals with varying levels of background knowledge. We will discuss the importance of storytelling in science communication, as well as...

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  55. 27. Promoting Educational and Outreach Activities throughout the HDR Institutes via a Centralized Repository
    Alex Pak (Colorado School of Mines)
    11/09/2024, 14:30

    During the ideation expo at the previous HDR Ecosystem Conference in Colorado (Oct 2023), the creation of an HDR-wide educational and outreach materials repository was proposed, with a committee of cross-institutional members formed to build this repository. The long-term vision for the repository is to promote and facilitate data fluency in domain specific contexts for communities ranging...

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  56. 13. Breakout session summary
    12/09/2024, 09:00
  57. 14. White Paper Planning
    Mark Neubauer (Univ. Illinois at Urbana Champaign (US)), Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign)
    12/09/2024, 10:30
  58. 29. Conference Summary
    Philip Coleman Harris (Massachusetts Inst. of Technology (US))
    12/09/2024, 11:00
  59. 15. Closeout & Advertisement of 4th HDR Ecosystem Conference
    Mark Neubauer (Univ. Illinois at Urbana Champaign (US)), Diane Boghrat (The Ohio State University)
    12/09/2024, 11:20
  60. 16. Breakout #4
  61. 26. Dinner on your own