Situational AI · An Open Research & Technology Forum
October 22, 2026 — Event Archive

The World Does Not Arrive
as Prompts.

AI has become remarkably capable at responding to prompts, but the world does not arrive as prompts. Situational AI is an emerging research program exploring whether “situation” can become a first-class computational primitive—helping systems recognize what is happening, why it matters, what response is called for, and learn from what happens next.

October 22, 2026 · 5 PM Networking afterward
Crow Museum of Asian Art Edith and Peter O’Donnell Jr. Athenaeum · UT Dallas
Presented by Mindspace AI In collaboration with UTD’s Jindal School of Management JURS program

What Happened on October 22

The recording, materials, and questions from the first public Situational AI forum, kept here so the work that surrounded it stays findable.

Event recording — embed the video here.
Slides

Presentation Slides

Links to the slide decks from each segment.
Presentations

Student Presentations

Recordings or slides from the five student segments.
Demos

Demo Videos

Recordings of the working demonstrations.
Photos

Photos

Photographs from the forum.
Reflection

What We Learned

A short account of what the forum confirmed, challenged, or changed.
Open Questions

Questions That Emerged

The questions raised in the open discussion, as inputs to the research program.
Next

Join the Next Experiment

The forum was a starting point. The questions it raised are open for anyone to take up.

Join the Inquiry →

From a Hypothesis to Five Student Explorations

During the summer of 2026, five UT Dallas students worked with Mindspace AI to explore different questions emerging from Situational AI.

They examined its theoretical foundations, compared it with existing models of situation awareness, investigated whether explicit situation recognition could reduce computational context, and built working applications incorporating situation-centric concepts.

On October 22, we are bringing those explorations together—and opening the questions to a broader community.

Five Questions, Five Students

Each exploration has a permanent page in the research program. The forum is where they are presented together.

Foundations
Krishang Reddy Mandala

Situational AI & Situation Awareness

Evolution of the idea, related models and Endsley's Situation Awareness framework.

Explore the research →
Computation
Sabareesh Dinakaran

Can Situations Make AI More Efficient?

Situation recognition, context reduction and smaller models.

Explore the research →
Experiment
Sai Jagadish Manchikanti

RiskPulse + Situational AI

Applying situation recognition to emerging organizational risk.

See the project →
Experiment
Yuvan Muruganandham

Exploratory Situational AI Application

Exploratory application and live demo.

See the project →
Perspective
Avani Tripathi

The Student Exploration

The journey, questions and lessons emerging from the summer work.

Explore →

October 22, 2026

Starts at 5:00 PM. Durations are approximate.

Welcome3 minAvani Tripathi
Opening Remarks4 minRamesh Subramoniam, PhDProfessor of Practice, Operations Management; Director of Undergraduate Research, Naveen Jindal School of Management, UT Dallas
The Hypothesis15 minPrasad PillaiCEO & Co-Founder, Mindspace AI · Situational AI: The Idea and the Hypothesis
The Foundations7 minKrishang Reddy MandalaEvolution of Situational AI; comparisons with other models and Mica Endsley’s Situation Awareness
The Computation7 minSabareesh DinakaranCan situation recognition reduce context and prompt needs and enable smaller, efficient models?
The Experiments7 minSai Jagadish ManchikantiRiskPulse · Exploratory implementation and live demo
The Experiments7 minYuvan MuruganandhamSituational AI · Exploratory application and live demo
Student Perspective7 minAvani TripathiReflections on what the student exploration revealed
The Real World15 minPrasad PillaiBotsWork demo · Situational intelligence in AI coworkers, implications, and next steps
Open Discussion / Q&A10 minBring a question, an experiment, or a real-world situation.
Recognition & Thanks5–10 minRecognition of Prof. Subramoniam, followed by closing reflections
NetworkingAfterward

Where the Hypothesis Meets Working Systems

The program closes its presentations with a fifteen-minute segment led by Prasad Pillai, CEO & Co-Founder of Mindspace AI: a BotsWork demo of situational intelligence in AI coworkers, its implications, and next steps.

Crow Museum of Asian Art at UT Dallas

Presented by Mindspace AI in collaboration with the Naveen Jindal School of Management’s Jindal Undergraduate Research Scholars (JURS) program at UT Dallas. The Crow Museum of Asian Art at UT Dallas is the venue.

Getting There

Crow Museum of Asian Art, Edith and Peter O’Donnell Jr. Athenaeum, on the UT Dallas campus in Richardson, Texas.

Street address, entrance, and parking directions.
Open in Google Maps

Logistics

The program starts at 5:00 PM, with networking afterward.

Check-in details, refreshments, and accessibility notes.

Registration is handled through Luma.

Prove it. Disprove it.
Build it. Improve it.

Bring a question.
Bring an experiment.
Bring a real-world situation.

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