News & Events

ID4 awarded the first annual ID4 Excellence Awards to our graduate students and postdocs who contributed significantly to ID4 intellectual merit, broader impacts, and/or ID4 community building. The winners (left to right) are Leticia Gomez, Rafael Pastrana, Isabel Moreira, Fernando Fajardo-Rojas, Colton Gerber, Jenny Zhan, and Drew Novick. Congratulations to the winners and thank you for your contributions!

April 5, 2024

Members of the ID4 Adriaenssens group, with external collaborators, won the 2024 Forge Prize for their Mile Zero steel shade structure.  Congratulations!

March 5, 2024

Members of the ID4 Adriaenssens group, with external collaborators, were named as finalists in the 2024 Forge Prize. Congratulations and best of luck in winning the grand prize!

February 7, 2024

ID4 graduate student Andre Niyongabo Rubungo won an award for best poster at the 2023 Materials Research Society Fall Meeting. Congratulations!

November 29, 2023

ID4 hosted the 2nd annual HDR Ecosystem Conference to discuss solutions to some of the most pressing challenges in data-intensive research, education and workforce development. You can read about the conference here.

October 18, 2023

ID4 investigator Fernando Uribe-Romo is a coordinator of the US Crystal Growing Competition, a national event open to K-12 students and teachers. Want to start growing crystals? Register today!

September 28, 2023

Five community college students from the Northeastern-based Summer Research Experience, along with ID4 graduate student mentor, Dan Adrion, visited the Colorado School of Mines-based Materials REU for a day of professional development and a poster session.

July 31, 2023

ID4 faculty and graduate students designed and ran hands-on activities and coding tutorials for summer camps for 6th-10th grade students in partnership with Pinhead Institute and Code Denver.

July 24, 2023

ID4 investigator Jane Greenberg received the 2023 Association for Information Science and Technology (ASIS&T) Research in Information Science Award. Congratulations!

July 5, 2023

ID4 hosted a workshop on Interactive Visualization and Analysis of High-Dimensional Scientific Data. Domain scientists and visualization experts came together to co-develop the next generation of interactive high-dimensional data visualization techniques. Check out our other upcoming workshops using the “Events” tab above!

June 15, 2023

Researchers from the Princeton Form Finding Lab, directed by ID4 faculty Sigrid Adriaenssens, used augmented reality to build a self-balancing arch in collaboration with Italian masons and the Skidmore, Owings & Merrill architectural firm. The arch is part of the Venice architecture biennale exhibition, Time Space Existence.

June 7, 2023

Our REU and high school students have started their summer research experiences at multiple ID4 universities. Welcome!

May 30, 2023

Undergraduate students from WashU, advised by ID4 investigator Alvitta Ottley through the Girls Who Code WashU program, continued to teach coding to girls at the Hawthorn Leadership School as they started Q4 of their school year.

March 27, 2023

We are recruiting post-baccalaureate, undergraduate/community college, and high school students for paid research internships. Learn more and apply to come work with us here.

January 21, 2023

ID4 researchers in the Gomez-Gualdron group, in collaboration with multiple other research groups, published a paper in npj Computational Materials on high-throughput screening of hypothetical metal-organic frameworks for thermal conductivity.

January 20, 2023

ID4 researchers from multiple groups are presenting their work at the Materials Research Society Fall Meeting.

November 27, 2022

ID4 researchers in the Ertekin group published a paper in npj Computational Materials on overcoming data scarcity in materials science.

November 18, 2022

ID4 investigator Adji Bousso Dieng was named an AI2050 Early Career Fellow by Schmidt Futures. Congratulations!

November 8, 2022

Our post-baccalaureate fellow has started her fellowship. Welcome, Bruktawit!

October 4, 2022

ID4 investigator Alvitta Ottley received the 2022 EuroVis Young Researcher Award. Congratulations!

June 17, 2022

ID4 researchers from multiple groups are presenting their work at the EuroVis conference.

June 13, 2022

ID4 investigator Abigail Doyle was named a finalist for the 2022 Blavatnik National Awards for Young Scientists, the world’s largest unrestricted prize honoring early-career scientists and engineers. Congratulations!

June 1, 2022

Our REU and high school students have started their summer research experiences at multiple ID4 universities. Welcome!

May 23, 2022

ID4 investigators Alvitta Ottley and Steven Lopez received NSF CAREER awards. Congratulations!

April 6, 2022

ID4 investigator Steven Lopez received the 2022 ACS OpenEye Outstanding Junior Faculty Award in Computational Chemistry. Congratulations!

March 24, 2022

ID4 has multiple opportunities for paid research experiences for undergraduates and community college students this summer. Apply to come work with us!

Jan 18, 2022

ID4-Affiliated Workshops

ID4 is partnering with other researchers to host a variety of in-person workshops. We strive to intentionally bring together intellectually diverse researchers and stakeholders to frame questions, develop cross-domain communication skills, and design shared platforms for solutions from inception. These workshops are designed around best practices in convergence research.

If you are interested in helping to organize and/or participating in one of these conferences, please email

2024 Workshops

Integration of Data Fluency into 6th-12th Grade Education
July 11-12, 2024
Location: Colorado School of Mines, Golden, CO
Organizers: Emily Freed (Colorado School of Mines), Brad Beadell (Wilcox High School), Matthew Graham (CalTech), Alex Pak (Colorado School of Mines)
Overview: Data analytic skills, i.e. leveraging data to improve decision-making, are increasingly needed to be competitive in the workforce across numerous industries. It is therefore important to increase the data fluency of students starting from the K-12 level. The purpose of this workshop is for data science and domain experts across biology, chemistry, physics, and engineering from academia and industry to collaborate with 6th-12th grade teachers to design curricular materials that include data collection, analysis, modeling, or inference for use in 6th-12th grade classrooms. Participants will develop learning modules in a hackathon environment which will be piloted and iterated throughout the workshop. All developed learning modules will be made publicly available at the end of the workshop.

AI-Ready Data: Navigating the Dynamic Frontier of Metadata and Ontologies
April 15-16, 2024
Location: Quorum – University City Science Center, Philadelphia, PA
Organizers: Jane Greenberg (Drexel), Yuan An (Drexel), Yasin Bakis (TUBRI), Hank Bart (TUBRI), Vandana Janeja (UMBC), Jianwu Wang (UMBC)
Overview: AI-ready data refers to the high-quality and well-prepared data that is optimized for use in artificial intelligence (AI) applications. AI-ready data increasingly encompasses the inclusion of metadata and ontologies to enhance the value and usability of data. Challenges underlie the full data lifecycle from data creation, collection, and research, to longer-term aims of data preservation, archiving, reuse and support for research reproducibility. Collective, community driven efforts are needed to address current obstacles and maximize the value and reliability of data. This workshop is a step toward addressing this challenge. This workshop will bring together a community of individuals with expertise across the data lifecycle to discuss issues, share solutions, and chart a path forward for addressing key challenges in preparing AI-ready data for scientific research.

AI for Materials Science
Sponsor: AAAI Conference
 February 20-21, 2024
Location: 2024 AAAI Conference, Vancouver, Canada
Organizers: Roman Garnett (WashU. in St Louis), Peter Collins (Iowa State U.), Peter Frazier (Cornell), Patrick Johnson (Iowa State U.), Jessica Koehne (NASA), Lars Kotthoff (U. Wyoming)
Overview: The development of new materials and production processes and the customization of existing ones is increasingly driven by AI, in particular Bayesian optimization and surrogate modeling. In many cases, materials science has relied on compute-intensive simulations to evaluate the properties of proposed designs, or the effect a change might have. Such simulations do not scale to the vast design spaces that materials scientists explore. Machine learning provides an alternative: properties are approximated through the predictions of surrogate models rather than computed by simulations, orders of magnitude faster. Both AI and materials science are working on conceptually similar problems — how to efficiently identify the best design choices, be that for a machine learning pipeline or a new material. Yet, there is little collaboration between the communities. The purpose of this Bridge is to bring the communities closer together, facilitate cross-disciplinary collaborations, identify common problems, and develop plans for tackling them. 

NSF Workshop: Integrating LLMs into the Materials Chemistry Curriculum
Sponsor: NSF DMR-2333654
February 12-13, 2024
Location: Colorado School of Mines, Golden, CO
Organizers: Annalise Maughan (Colorado School of Mines), Eric Toberer (Colorado School of Mines), Alex Zevalkink (Michigan State U.)
Overview: This two day NSF-sponsored workshop aims to explore and develop innovative ways to incorporate Large Language Models (LLMs, including GPT, ChatGPT, and Bard) into upper division chemistry laboratories and virtual lab experiences. During the workshop, participants will brainstorm and create demonstrations incorporating LLMs into the curriculum. These could include designing pre-labs, virtual lab activities, and lab reports. We will also discuss limitations and safety measures for its effective use in laboratory settings.

2023 Workshops

HDR Annual Meeting
Dates: October 16-18, 2023
Location: Denver, CO
Organizers: Eric Toberer (Colorado School of Mines/ID4), Tanya Berger-Wolf (Ohio State U./Imageomics), Bo Li (U. Illinois/I-GUIDE), Paula Mabee (NEON/Imageomics), Mark Neubauer (U. Illinois/A3D3), Sharad Sharma (U. North Texas/iHARP)
Overview: The annual meeting is an opportunity to foster convergence between (i) the HDR Institutes, (ii) NSF DSC teams, and (iii) NSF TRIPODS. We expect to interweave reflective presentations on the accomplishments to date of the Institutes with facilitated discussions and activities that are forward-looking to seed new collaborations and establish best practices.

Uniting Junior Faculty in the Applied Sciences with Junior Faculty in Computer Science – part 1
Date: October 16-18 (events concurrent with HDR Annual Meeting)
Location: Denver, CO
Organizers: Eric Toberer (Colorado School of Mines/ID4), Osman Gani (U. Maryland/iHARP), Anuj Karpatne (Virginia Tech/Imageomics), Pan Li (Georgia Tech/A3D3), Alvitta Ottley (WashU/ID4), Zhaonan Wang (U. Illinois/I-GUIDE)
Overview: This workshop will facilitate collaboration and networking for both junior faculty and postdocs who are applying for faculty positions from domain and data sciences. The workshop will include open networking sessions, brainstorming sessions, and discussion groups.

Systematic Analysis of Errors and Uncertainty Across Scales from Materials Modeling & Discovery to Manufacturing: Towards Best Practices
Sponsor: NSF CMMI-2315913 and the Air Force Office of Scientific Research
June 8-9, 2023
Location: Basic Research Innovation Collaboration Center, Arlington, VA
Organizers: Elif Ertekin (U. Illinois), Giulia Galli (U. Chicago), Ali Sayir (AFOSR)
Overview: With substantial developments and focused efforts targeting the creation of a Materials Innovation Infrastructure over the last ten years, computation, modeling, and simulation have become integral to the materials discovery, innovation, and deployment cycle. The purpose of this workshop is to bring together researchers in first-principles modeling, machine learning/informatics approaches, multiscale modeling, and modeling/artificial intelligence for process design/manufacturing. We will discuss cross-cutting pathways, challenges, and opportunities for systematic quantification of errors and uncertainty. We aim to identify best practices and create momentum towards the integration of error and uncertainty analysis into standard computational workflows, so that rigorous error determination and reporting become a standard for the community of modelers.

Interactive Visualization and Analysis of High-Dimensional Scientific Data
Dates: June 13-16, 2023
Location: Workbar, Boston, MA
Organizers: Remco Chang (Tufts), Erik Anderson (Novartis), Nils Ghelenborg (Harvard Medical School), Steven Lopez (Northeastern), Jen Rodgers (Tufts), Qianwen Wang (Harvard Medical School), Cory White (Merck)
Overview: Large, high-dimensional scientific (numeric) data is difficult for domain scientists to visualize. Successful visualization of such data can help scientists develop intuition about their data and discover new and unexpected patterns. Several dimensionality reduction (projection) techniques exist, such as t-SNE, UMAP, Isomap, and many others. However, it can be difficult to trust or draw meaning from the underlying data from current projection methods, for example, trusting the retention of the underlying data structure or understanding features that drive separation. The purpose of the workshop is to invite domain scientists and visualization experts to co-develop the next generation of interactive high-dimensional data visualization techniques. We aim to collect and summarize the key requirements from the perspective of the domain scientists and the technical challenges faced by the visualization researchers.

Young Researcher Mentoring Workshop
Sponsor: Alliance for Diversity in Science and Engineering
 May 17-19, 2023
Location: Texas A&M University, College Station, TX
Organizers: Steven Lopez (Northeastern), Fernando Fajardo-Rojas (Colorado School of Mines), Leticia Gomes (Northeastern), Shayan Monadjemi (WashU)
Overview: Applying for research positions? This is a professional development workshop to prepare you for the upcoming steps in your career. We will have mentors and speakers from academia, government, and industry. This conference is a great way to expand your professional network. It is open to students at any level – high school, community college, undergraduate, and graduate.

Rocky Mountain Solid State Chemistry Workshop
Dates: January 10-11, 2023
Location: University of Colorado Boulder, Boulder, CO
Organizers: Eric Toberer (Colorado School of Mines), Ann Greenaway (NREL), Annalise Maughan (Colorado School of Mines), Eve Mozur (Colorado School of Mines), Jamie Neilson (Colorado State U.), Michael Toney (U. Colorado)
Overview: Solid state chemistry spans the synthesis, structure, and properties of solid phase materials. Examples within synthesis and structure include new material discovery, single crystal and thin film growth, and diffraction and scattering techniques. The mission of this workshop is to bring together the growing community of solid state chemists in the Colorado Front Range and provide a forum for seeding new collaborations.

The Institute for Data Driven Dynamical Design (ID4) is supported by the National Science Foundation through award #2118201

Director: Eric Toberer
Project Manager: Emily Freed