Ethics Statement - applicable to ALL TYPES of projects.
ALL student researchers, as well as adults who have a role in their projects, are expected to maintain the highest ethical standards. These include, but are not limited to:
Student researchers are expected to maintain the highest standards of honesty and integrity. Scientific fraud and misconduct are not condoned at any level of research or competition.
Such practices include but are not limited to plagiarism, forgery, use or presentation of other researcher’s work as one’s own, and fabrication of data.
Fraudulent projects will fail to qualify for the competition and if it is learned after the competition any awards will be removed and the student(s) will be listed as Disqualified (DQ) and denied participation at ACSEF for the next fair cycle.
- Integrity. Honesty, objectivity, and avoidance of conflicts of interest are expected during every research phase. The project should reflect independent research done by the student(s), and represent only one year’s work.
- Legality. Compliance with all federal, state and local laws and regulations is essential. In addition, projects conducted outside the U.S. must also adhere to the laws of the country and jurisdiction in which the project was performed. All projects must be Top
approved by a Scientific Review Committee (SRC), and when necessary must also be approved by an Institutional Review Board (IRB), Institutional Animal Care and Use Committee (IACUC), and/or Institutional Biosafety Committee (IBC) as related to the type of research.
- Respect for Confidentiality and Intellectual Property. Confidential communications, as well as patents, copyrights, and other forms of intellectual property must be honored. Unpublished data, methods, or results may not be used without permission, and credit must be given to all contributions to research.
- Stewardship of the Environment. It is the responsibility of the researcher and the adults involved to protect the environment from harm. Introduction or disposal of non-native, genetically altered, and/or invasive species, (e.g. insects, plants, invertebrates, vertebrates), pathogens, toxic chemicals, or foreign substances into the environment is prohibited. It is recommended that students reference their local, state, or national laws and regulations and quarantine lists, including if considering using “catch and release” fishing procedures.
- Animal Care. Proper care and respect must be given to vertebrate animals. The guiding principles for the use of animals in research include the following “Four R’s”: Replace, Reduce, Refine, and Respect.
- Human Participant Protection. The highest priority is the health and well-being of the student researcher(s) and human participants.
- Potentially Hazardous Biological Agents (PHBAs). It is the responsibility of the students and adults involved in the project to conduct and document a risk assessment and to safely handle and dispose of organisms and materials.
- Scientific fraud and misconduct are not condoned at any level of research or competition. This includes plagiarism, forgery, use or presentation of other researcher’s work as one’s own, and fabrication of data. Fraudulent projects will fail to qualify for competition in ACSEF and Regeneron ISEF, CSEF, or the Thermo Fisher Scientific Junior Innovators Challenge middle school competition. ACSEF & the Society for Science and the Public reserves the right to revoke recognition of a project subsequently found to have been fraudulent or otherwise does not comply with the ethical standards.
AI use and information (from Regeneron ISEF/Society for Science)
This statement clarifies the expectation that students will not have used an AI tool to provide information in materials such as in directly providing text for writing that they are indicating is their own, but that otherwise, they cite the use of AI as they would other sources of materials used in the ideation and implementation of their project.
A sample statement, “I certify that I have not used AI tools, like ChatGPT, to construct the research plan or responses to questions in the forms or finalist questionnaire.”
Sample citation:
APA Style - https://apastyle.apa.org/blog/how-to-cite-chatgpt
OpenAI. (Year). ChatGPT (Month Day version) [Large language model]. https://chat.openai.com (hyperlink to chat transcript with hyperlink unlinked (no active links are allowed on ISEF forms or Research Plans)).
- Integrity. Honesty, objectivity, and avoidance of conflicts of interest are expected during every research phase. The project should reflect independent research done by the student(s), and represent only one year’s work.
- Legality. Compliance with all federal, state and local laws and regulations is essential. In addition, projects conducted outside the U.S. must also adhere to the laws of the country and jurisdiction in which the project was performed. All projects must be Top
approved by a Scientific Review Committee (SRC), and when necessary must also be approved by an Institutional Review Board (IRB), Institutional Animal Care and Use Committee (IACUC), and/or Institutional Biosafety Committee (IBC) as related to the type of research.
- Respect for Confidentiality and Intellectual Property. Confidential communications, as well as patents, copyrights, and other forms of intellectual property must be honored. Unpublished data, methods, or results may not be used without permission, and credit must be given to all contributions to research.
- Stewardship of the Environment. It is the responsibility of the researcher and the adults involved to protect the environment from harm. Introduction or disposal of non-native, genetically altered, and/or invasive species, (e.g. insects, plants, invertebrates, vertebrates), pathogens, toxic chemicals, or foreign substances into the environment is prohibited. It is recommended that students reference their local, state, or national laws and regulations and quarantine lists, including if considering using “catch and release” fishing procedures.
- Animal Care. Proper care and respect must be given to vertebrate animals. The guiding principles for the use of animals in research include the following “Four R’s”: Replace, Reduce, Refine, and Respect.
- Human Participant Protection. The highest priority is the health and well-being of the student researcher(s) and human participants.
- Potentially Hazardous Biological Agents (PHBAs). It is the responsibility of the students and adults involved in the project to conduct and document a risk assessment and to safely handle and dispose of organisms and materials.
- Scientific fraud and misconduct are not condoned at any level of research or competition. This includes plagiarism, forgery, use or presentation of other researcher’s work as one’s own, and fabrication of data. Fraudulent projects will fail to qualify for competition in ACSEF and Regeneron ISEF, CSEF, or the Thermo Fisher Scientific Junior Innovators Challenge middle school competition. ACSEF & the Society for Science and the Public reserves the right to revoke recognition of a project subsequently found to have been fraudulent or otherwise does not comply with the ethical standards.
Link to all 2025 Rules and Policy Changes
General Eligibility: Students in grades 6-12 attending schools located in Alameda County are eligible.
- Students may enter ACSEF independently on their own if their school does NOT hold a science fair. In fact, few Alameda County schools hold science fairs.
- However: If the school DOES hold a science fair the student must be selected to enter ACSEF through their school selection process.
- If the school district DOES hold a science fair for students but the school does not - the students may enter ACSEF independently on their own without entering the district science fair.
Additional eligibility criteria can be found on the ACSEF website https://acsef.org
DID YOU KNOW?
- ACSEF is a nonprofit 501(C)(3) public charity that runs entirely with a volunteer organizing board and on donations and grants?
- If you appreciate the opportunities and guidance ACSEF offers students of Alameda County & you want to see ACSEF continue year after year, please consider becoming a Patron.
- You can support ACSEF with a donation via PayPal at the link shown below and write it off on your taxes.
- Alternately make a check payable to ACSEF and mail to:
Become A Patron of ACSEF
ACSEF is affiliated with the Regeneron International Science and Engineering Fair, the Thermo Fisher Junior Innovators Challenge, and the California Science and Engineering Fair.
Our mission is to support the next generation of scientists and engineers.
The Fair provides an opportunity for local Alameda County students to showcase their science and engineering savvy at a regional, statewide, national, and international level. ACSEF provides a forum for stimulating student interest in science, technology, engineering, and mathematics (S.T.E.M.) and an avenue for educators to fulfill the Common Core Standards and Next Generation Science Standards. Grade 6-12 students educated within Alameda County from home school, charter, public, private and parochial schools are eligible to participate in the fair held annually in March.
The origin of ACSEF was a vision supported by Intel and founding director Patti Carothers to create an International Science Fair (ISEF) affiliated fair in Alameda County. Alameda County, at the time, was one of the largest counties in California without an ISEF-affiliated science fair.
After Ms. Carothers 2010 retirement teaching high school steps were taken starting in 2011 to form a 501 (c)(3) nonprofit public charity organization for funding the fair and then to create a county-wide event supported by Intel and later by Lawrence Livermore National Laboratory as the title sponsor. In 2023 ACSEF is seeking a new Title Sponsor. Companies can reach out to the
ACSEF launched its first science fair in 2012 at Chabot College after a year of planning, obtaining supporting sponsors, and forming an organizing board. ACSEF fully supports STEM education, the Next Generation of Science Standards, and has helped to improve science in the classrooms through its school outreach Science Fair 101 workshops available to teachers and students from all parts of Alameda County and the Title 1 school participation incentive programs.
We are steadily growing in participation! In our inaugural year, 2012 close to 250 students from county school districts participated. Not only has the number of participants grown between 500-700 annually and so has the quality of projects.
ACSEF encourages middle and high school students who attend a school or is homeschooled in the cities & towns of Alameda, Albany, Berkeley, Castro Valley, Dublin, Emeryville, Fremont, Hayward, Livermore, Newark, Niles, Oakland, Piedmont, Pleasanton, San Leandro, San Lorenzo, Sunol, and Union City to participate in the ANNUAL ACSEF. We hope to return to our new fair home at Chabot College, Hayward, CA in 2022.
The ACSEF founding director Patti Carothers, and the energetic and dedicated Organizing Board members including the Scientific Review Committee, is available throughout the summer and school year to offer advice and guidance to students and teachers as they begin to think about projects topics and research.
ACSEF organizing board is proud to be a part of this broader-reaching county-wide science fair. We are excited to bring the opportunity for middle and high school students and teachers in the county to become involved in science and engineering research projects.
We welcome the opportunity of partnership with agencies within the county to encourage increased hands-on science for underserved students.
ACSEF is a 501 (c) 3 non-profit organization - Tax ID # 45-1800245. We welcome and require your support to continue providing this opportunity to the students from Alameda County. We welcome your interest and participation as a volunteer, judge, or sponsor to HELP us keep offering this county-wide science, engineering, and technology event year after year.
Locate our Become a Patron to easily donate through PayPal use this Donate button or you can mail a check made out to ACSEF. Print your F/L name (and mailing address if not printed on the check) in the memo line and mail it to Lou Groner, ACSEF Treasurer 2622 York St., WEST LINN, OREGON 97068. We will provide a tax-deductible receipt along with our thank you note!
Any amount $25 and higher is tax deductable and applies toward our IRS requirement that 1/3 of our funding is coming from broad public support required to maintain our nonprofit status. What does this mean? It means that we will continue offering the science fair as long as we have nonprofit status. If that is removed the fair will shut down.
Please check this link to find out other ways you can help.
Questions send email to the fair director at directoracsef@gmail.com. You may also phone our voice mail at 925-353-4414 to leave a message following the instructions given in the voice mail.
Fair Schedule
Questions send email to fair director at directoracsef@gmail.com. You may also phone our voice mail 925-353-4414 leave a message following the instructions given in the voice mail.
Behavioral and Social Science
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Engineered device testing
- App testing
- Software testing
- Survey driven studies
- Body Mechanics testing
- Pre-Clinical Studies
- Clinical & Developmental Psychology
- Cognitive Psychology
- Physiological Psychology
- Social Psychology
- Sociology and Social Psychology
- Other Behavioral Science Studies Involving Human Participants
- Behavioral Neuroscience
- Development
- Sociology and Anthropology
- Veterinary Science
- Animal Evolution
- Animal Behavior
- Animal Nutrition and Growth
- Animal Physiology
- Animal Husbandry
Bioinformatics and Computational Biology
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Bioinformatics
- Computational Biomodeling
- Computational Epidemiology
- Computational Evolutionary Biology
- Computational Neuroscience
- Computational Pharmacology
- Computational Genomics
- Predictive Biology
- Applications of Machine Learning in Biology
- Protein Structure and Binding Predictions
- Disease Detection and Diagnosis using Machine Learning
- Veterinary Science
- Animal Evolution
- Animal Behavior
- Animal Nutrition and Growth
- Animal Physiology
- Animal Husbandry
Biomedical Engineering
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Biomaterials and Regenerative Medicine
- Biomechanics
- Biomedical Devices
- Biomedical Sensors and Imaging
- Cell and Tissue Engineering
- Synthetic Biology
- Veterinary Science
- Animal Evolution
- Animal Behavior
- Animal Nutrition and Growth
- Animal Physiology
- Animal Husbandry
Biomedical Science
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent, and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Human Medicine
- Anatomy and Physiology
- Organ and Systems Physiology
- Disease & Immunology
- Neurobiology
- Nutrition and Natural Products
- Pathophysiology
- Disease Prevention
- Disease Treatment and Therapies
- Drug Identification and Testing
- Veterinary Science
- Animal Evolution
- Animal Behavior
- Animal Nutrition and Growth
- Animal Physiology
- Animal Husbandry
Cellular and Molecular Biology
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Analytical Biochemistry
- General Biochemistry
- Medicinal Biochemistry
- Structural Biochemistry
- Cell Physiology
- Cellular Immunology
- Genetics
- Genetic Engineering
- Protein Engineering
- Metabolic Engineering
- Cell Culture
- Molecular Biology
- Antimicrobial and Antibiotics
- Microbiology
- Bacteriology
- Environmental Microbiology
- Microbial Genetics
- Virology
- Veterinary Science
- Animal Evolution
- Animal Behavior
- Animal Nutrition and Growth
- Animal Physiology
Chemistry and Material Sciences
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Analytical Chemistry
- Computational Chemistry
- Environmental Chemistry
- Inorganic Chemistry
- Materials Chemistry
- Organic Chemistry
- Physical Chemistry
- Ceramic and Glasses
- Composite Materials
- Electronic, Optical, and Magnetic Materials
- Nanomaterials
- Polymers
- Materials Science
Embedded Systems
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Circuits
- Internet of Things
- Microcontrollers
- Networking and Data Communications
- Optics
- Sensors
- Signal Processing
- Intersection of Computer Science & Mechanical Engineering
- Control Theory
- Includes Arduino & Raspberry Pi
Emerging Scientists and Engineers
Select this category if your project meets these criteria:
- Students were accepted into the Student Leadership Board (SLB) ESAE mentor/mentee program
- Students have worked with an SLB student mentor on this project
- Students are 1st-time science fair participants from a school that does not hold a science fair.
- Projects must be either Science, Engineering, Mathematics/Computer Science, and must have collected data from some form of testing or trials while doing the project.
Students in this category are eligible for awards within their category and sponsored awards.
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
Geology, Earth Sciences, Energy, Civil & Environmental Engineering
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Atmospheric Science
- Climate Science
- Geosciences
- Water Science
- Pollution Control
- Recycling and Waste Management
- Water Resources Management
- Solar Process, Materials, and Design
- Energy Storage
- Wind and Water Movement Power Generation
- Hydrogen Generation and Storage
- Thermal Generation and Design
- Environmental Engineering
- Civil Engineering
- Alternative Fuels
- Earth Science
- Bridges, Roads, and Buildings
Math, Astronomy, & Physics
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Atomic, Molecular, and Optical Physics
- Astronomy and Cosmology
- Biological Physics
- Condensed Matter and Materials
- Mechanics
- Nuclear and Particle Physics
- Theoretical, Computational, and Quantum Physics
- Algebra
- Analysis
- Combinatorics, Graph Theory, and Game Theory
- Geometry and Topology
- Number Theory
- Probability and Statistics
Mechanical Engineering, Aerospace Engineering, and Robotics
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Aerospace and Aeronautical Engineering
- Ground Vehicle Systems
- Industrial Engineering-Processing
- Mechanical Engineering
- Naval Systems
- Robotics
- Drones
- Vehicles
- Autonomous Vehicles
Plant Science, Ecology, Agriculture & Environmental Sciences
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Agriculture and Agronomy
- Ecology
- Plant Genetics and Breeding
- Plant Growth and Development
- Plant Pathology
- Plant Physiology
- Plant Systematics and Evolution
- Bioremediation
- Land Reclamation
- Environmental Science
Systems Software, Computer Science and Programming
- Note: any project in this category that used human participants* to test an engineered device, App, software, or used Survey driven studies, etc. must have completed Forms 4 and Human Informed Consent and received pre-data collection approval through an Early Application unless the following exception exists: The student researchers or their adult sponsor/supervisor are the only people performing the testing.
- Algorithms
- Machine Learning
- Coding and Scripting
- Cybersecurity
- Databases
- Languages and Operating Systems
- Mobile Apps
- Online Learning
- Software Engineering
- Computer Science
- Data Science
- Big Data
Judging Criteria: Updated September 21, 2024
Each category is 20% of final score, rated on a 1-10 scale.
Engineering Projects Rubric
Creativity
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- Does the project show creative ability and originality in the questions asked? Are the findings or outcome novel?
- Creative approach to solving the problem, the analysis of the data, the interpretation of the data? The use of equipment, the construction or design of new equipment?
- Creative research should support an investigation and help answer a question in an original way.
- A creative contribution promotes an efficient and reliable method for solving a problem.
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Engineering Goals
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- Does the project have a clear objective?
- Is the objective relevant to the potential user’s needs?
- Is the solution workable, acceptable to the potential user, economically feasible? Were constraints identified prior to design?
- Could the solution be utilized successfully in design or construction of an end product?
- Were multiple designs or prototypes built for testing? Was the solution tested for performance under the conditions of use? Was the design improved by iteration?
- Is the solution a significant improvement over previous alternatives?
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Thoroughness/ Rigor
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- Was the purpose carried out to completion within the scope of the original intent?
- How completely was the problem covered?
- Are the conclusions based on a single experiment or was there replication? Were appropriate statistics used on replicates?
- How complete are the project notes?
- Is the student/team aware of other approaches or theories and can explain what the project adds to prior knowledge in the field?
- Is the student /team familiar with scientific literature in the studied field? Are there scientific literature citations relevant to the project (not just popular literature such as local newspapers or interest websites)?
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Skill/ Independence/ Teamwork
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- Does the student/team have the required laboratory, computation, observational and design skills to obtain supporting data?
- Did the student/team receive appropriate or excessive assistance from parents, teachers, scientists, or engineers? Was the project completed under adult supervision, or did the student/team work largely alone?
- Where did the equipment come from? Was it built independently by the student or team? Was it obtained on loan? Was it part of a laboratory where the student or team worked?
- Is the student/team able to answer questions during the interview clearly and thoughtfully?
- For team projects only:
- Are the tasks and contributions of each team member clearly outlined?
- Was each team member fully involved with the project, and is each member familiar with all aspects?
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Clarity
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- How clearly does the student discuss the project and explain the purpose, procedure, and conclusions? Watch out for memorized speeches that reflect little understanding of principles.
- Does the written material reflect the student’s or team’s understanding of the research?
- Are the important phases of the project presented in an orderly manner?
- How clearly is the data presented? How clearly are the results presented? How well does the project display explain the project?
- Is the student/team personable, persuasive, and able to speak with non-specialists?
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Science Projects Rubric
Creativity
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- Does the project show creative ability and originality in the questions asked? Are the findings or outcome novel?
- Creative approach to solving the problem, the analysis of the data, the interpretation of the data? The use of equipment, the construction or design of new equipment?
- Creative research should support an investigation and help answer a question in an original way.
- A creative contribution promotes an efficient and reliable method for solving a problem.
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Scientific Thought
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- Is the problem stated clearly and unambiguously?
- Was the problem sufficiently limited to allow a plausible approach? Good scientists can identify important problems capable of solutions.
- Was there a procedural plan for obtaining a solution?
- Are the variables clearly recognized and defined?
- If controls were necessary, did the student recognize their need and were they correctly used?
- Are there adequate data to support the conclusions? Were any statistics used to prove this?
- Does the student/team recognize the data’s limitations?
- Does the student /team understand the basic science relevant to the project?
- Does the student /team have an idea of what further research is warranted?
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Thoroughness/ Rigor
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- Was the purpose carried out to completion within the scope of the original intent?
- How completely was the problem covered?
- Are the conclusions based on a single experiment or was there replication? Were appropriate statistics used on replicates?
- How complete are the project notes?
- Is the student/team aware of other approaches or theories and can explain what the project adds to prior knowledge in the field?
- Is the student /team familiar with scientific literature in the studied field? Are there scientific literature citations relevant to the project (not just popular literature such as local newspapers or interest websites)?
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Skill/ Independence/ Teamwork
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- Does the student/team have the required laboratory, computation, observational and design skills to obtain supporting data?
- Did the student/team receive appropriate or excessive assistance from parents, teachers, scientists, or engineers? Was the project completed under adult supervision, or did the student/team work largely alone?
- Where did the equipment come from? Was it built independently by the student or team? Was it obtained on loan? Was it part of a laboratory where the student or team worked?
- Is the student/team able to answer questions during the interview clearly and thoughtfully?
- For team projects only:
- Are the tasks and contributions of each team member clearly outlined?
- Was each team member fully involved with the project, and is each member familiar with all aspects?
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Clarity
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- How clearly does the student discuss the project and explain the purpose, procedure, and conclusions? Watch out for memorized speeches that reflect little understanding of principles.
- Does the written material reflect the student’s or team’s understanding of the research?
- Are the important phases of the project presented in an orderly manner?
- How clearly is the data presented? How clearly are the results presented? How well does the project display explain the project?
- Is the student/team personable, persuasive, and able to speak with non-specialists?
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